thepurpose
cf6be3275a
Add raw and cleaned Git classroom dataset (claude/dataset_D_git_classroom_activity.csv and _clean.csv) and two Sweetviz HTML reports. Update several lab notebooks (lab02_task1_datasets.ipynb, lab02_task1_datasets_v2b.ipynb, lab02_task2_telemetry_v4.ipynb, lab02_task3_git_activity_solutions.ipynb) and deploy/lab01_task2_telemetry.ipynb to incorporate the new data, cleanup steps, and EDA outputs.
16794 lines
1.9 MiB
16794 lines
1.9 MiB
<!doctype html>
|
|
<html lang="en">
|
|
<head>
|
|
<meta charset="UTF-8">
|
|
<link rel="icon" href="data:image/x-icon;base64,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" type="image/x-icon" />
|
|
<script> /*! jQuery v3.7.1 | (c) OpenJS Foundation and other contributors | jquery.org/license */
|
|
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(ie,e){"use strict";var oe=[],r=Object.getPrototypeOf,ae=oe.slice,g=oe.flat?function(e){return oe.flat.call(e)}:function(e){return oe.concat.apply([],e)},s=oe.push,se=oe.indexOf,n={},i=n.toString,ue=n.hasOwnProperty,o=ue.toString,a=o.call(Object),le={},v=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},y=function(e){return null!=e&&e===e.window},C=ie.document,u={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||C).createElement("script");if(o.text=e,t)for(r in u)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[i.call(e)]||"object":typeof e}var t="3.7.1",l=/HTML$/i,ce=function(e,t){return new ce.fn.init(e,t)};function c(e){var t=!!e&&"length"in e&&e.length,n=x(e);return!v(e)&&!y(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}function fe(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}ce.fn=ce.prototype={jquery:t,constructor:ce,length:0,toArray:function(){return ae.call(this)},get:function(e){return null==e?ae.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=ce.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return ce.each(this,e)},map:function(n){return this.pushStack(ce.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(ae.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(ce.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(ce.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:s,sort:oe.sort,splice:oe.splice},ce.extend=ce.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||v(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(ce.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||ce.isPlainObject(n)?n:{},i=!1,a[t]=ce.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},ce.extend({expando:"jQuery"+(t+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==i.call(e))&&(!(t=r(e))||"function"==typeof(n=ue.call(t,"constructor")&&t.constructor)&&o.call(n)===a)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(c(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},text:function(e){var t,n="",r=0,i=e.nodeType;if(!i)while(t=e[r++])n+=ce.text(t);return 1===i||11===i?e.textContent:9===i?e.documentElement.textContent:3===i||4===i?e.nodeValue:n},makeArray:function(e,t){var n=t||[];return null!=e&&(c(Object(e))?ce.merge(n,"string"==typeof e?[e]:e):s.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:se.call(t,e,n)},isXMLDoc:function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!l.test(t||n&&n.nodeName||"HTML")},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(c(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:le}),"function"==typeof Symbol&&(ce.fn[Symbol.iterator]=oe[Symbol.iterator]),ce.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var pe=oe.pop,de=oe.sort,he=oe.splice,ge="[\\x20\\t\\r\\n\\f]",ve=new RegExp("^"+ge+"+|((?:^|[^\\\\])(?:\\\\.)*)"+ge+"+$","g");ce.contains=function(e,t){var n=t&&t.parentNode;return e===n||!(!n||1!==n.nodeType||!(e.contains?e.contains(n):e.compareDocumentPosition&&16&e.compareDocumentPosition(n)))};var f=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g;function p(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e}ce.escapeSelector=function(e){return(e+"").replace(f,p)};var ye=C,me=s;!function(){var e,b,w,o,a,T,r,C,d,i,k=me,S=ce.expando,E=0,n=0,s=W(),c=W(),u=W(),h=W(),l=function(e,t){return e===t&&(a=!0),0},f="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",t="(?:\\\\[\\da-fA-F]{1,6}"+ge+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",p="\\["+ge+"*("+t+")(?:"+ge+"*([*^$|!~]?=)"+ge+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+t+"))|)"+ge+"*\\]",g=":("+t+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+p+")*)|.*)\\)|)",v=new RegExp(ge+"+","g"),y=new RegExp("^"+ge+"*,"+ge+"*"),m=new RegExp("^"+ge+"*([>+~]|"+ge+")"+ge+"*"),x=new RegExp(ge+"|>"),j=new RegExp(g),A=new RegExp("^"+t+"$"),D={ID:new RegExp("^#("+t+")"),CLASS:new RegExp("^\\.("+t+")"),TAG:new RegExp("^("+t+"|[*])"),ATTR:new RegExp("^"+p),PSEUDO:new RegExp("^"+g),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+ge+"*(even|odd|(([+-]|)(\\d*)n|)"+ge+"*(?:([+-]|)"+ge+"*(\\d+)|))"+ge+"*\\)|)","i"),bool:new RegExp("^(?:"+f+")$","i"),needsContext:new RegExp("^"+ge+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+ge+"*((?:-\\d)?\\d*)"+ge+"*\\)|)(?=[^-]|$)","i")},N=/^(?:input|select|textarea|button)$/i,q=/^h\d$/i,L=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,H=/[+~]/,O=new RegExp("\\\\[\\da-fA-F]{1,6}"+ge+"?|\\\\([^\\r\\n\\f])","g"),P=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},M=function(){V()},R=J(function(e){return!0===e.disabled&&fe(e,"fieldset")},{dir:"parentNode",next:"legend"});try{k.apply(oe=ae.call(ye.childNodes),ye.childNodes),oe[ye.childNodes.length].nodeType}catch(e){k={apply:function(e,t){me.apply(e,ae.call(t))},call:function(e){me.apply(e,ae.call(arguments,1))}}}function I(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(V(e),e=e||T,C)){if(11!==p&&(u=L.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return k.call(n,a),n}else if(f&&(a=f.getElementById(i))&&I.contains(e,a)&&a.id===i)return k.call(n,a),n}else{if(u[2])return k.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&e.getElementsByClassName)return k.apply(n,e.getElementsByClassName(i)),n}if(!(h[t+" "]||d&&d.test(t))){if(c=t,f=e,1===p&&(x.test(t)||m.test(t))){(f=H.test(t)&&U(e.parentNode)||e)==e&&le.scope||((s=e.getAttribute("id"))?s=ce.escapeSelector(s):e.setAttribute("id",s=S)),o=(l=Y(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+Q(l[o]);c=l.join(",")}try{return k.apply(n,f.querySelectorAll(c)),n}catch(e){h(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return re(t.replace(ve,"$1"),e,n,r)}function W(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function F(e){return e[S]=!0,e}function $(e){var t=T.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function B(t){return function(e){return fe(e,"input")&&e.type===t}}function _(t){return function(e){return(fe(e,"input")||fe(e,"button"))&&e.type===t}}function z(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&R(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function X(a){return F(function(o){return o=+o,F(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function U(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}function V(e){var t,n=e?e.ownerDocument||e:ye;return n!=T&&9===n.nodeType&&n.documentElement&&(r=(T=n).documentElement,C=!ce.isXMLDoc(T),i=r.matches||r.webkitMatchesSelector||r.msMatchesSelector,r.msMatchesSelector&&ye!=T&&(t=T.defaultView)&&t.top!==t&&t.addEventListener("unload",M),le.getById=$(function(e){return r.appendChild(e).id=ce.expando,!T.getElementsByName||!T.getElementsByName(ce.expando).length}),le.disconnectedMatch=$(function(e){return i.call(e,"*")}),le.scope=$(function(){return T.querySelectorAll(":scope")}),le.cssHas=$(function(){try{return T.querySelector(":has(*,:jqfake)"),!1}catch(e){return!0}}),le.getById?(b.filter.ID=function(e){var t=e.replace(O,P);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&C){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(O,P);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&C){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):t.querySelectorAll(e)},b.find.CLASS=function(e,t){if("undefined"!=typeof t.getElementsByClassName&&C)return t.getElementsByClassName(e)},d=[],$(function(e){var t;r.appendChild(e).innerHTML="<a id='"+S+"' href='' disabled='disabled'></a><select id='"+S+"-\r\\' disabled='disabled'><option selected=''></option></select>",e.querySelectorAll("[selected]").length||d.push("\\["+ge+"*(?:value|"+f+")"),e.querySelectorAll("[id~="+S+"-]").length||d.push("~="),e.querySelectorAll("a#"+S+"+*").length||d.push(".#.+[+~]"),e.querySelectorAll(":checked").length||d.push(":checked"),(t=T.createElement("input")).setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),r.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&d.push(":enabled",":disabled"),(t=T.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||d.push("\\["+ge+"*name"+ge+"*="+ge+"*(?:''|\"\")")}),le.cssHas||d.push(":has"),d=d.length&&new RegExp(d.join("|")),l=function(e,t){if(e===t)return a=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!le.sortDetached&&t.compareDocumentPosition(e)===n?e===T||e.ownerDocument==ye&&I.contains(ye,e)?-1:t===T||t.ownerDocument==ye&&I.contains(ye,t)?1:o?se.call(o,e)-se.call(o,t):0:4&n?-1:1)}),T}for(e in I.matches=function(e,t){return I(e,null,null,t)},I.matchesSelector=function(e,t){if(V(e),C&&!h[t+" "]&&(!d||!d.test(t)))try{var n=i.call(e,t);if(n||le.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){h(t,!0)}return 0<I(t,T,null,[e]).length},I.contains=function(e,t){return(e.ownerDocument||e)!=T&&V(e),ce.contains(e,t)},I.attr=function(e,t){(e.ownerDocument||e)!=T&&V(e);var n=b.attrHandle[t.toLowerCase()],r=n&&ue.call(b.attrHandle,t.toLowerCase())?n(e,t,!C):void 0;return void 0!==r?r:e.getAttribute(t)},I.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},ce.uniqueSort=function(e){var t,n=[],r=0,i=0;if(a=!le.sortStable,o=!le.sortStable&&ae.call(e,0),de.call(e,l),a){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)he.call(e,n[r],1)}return o=null,e},ce.fn.uniqueSort=function(){return this.pushStack(ce.uniqueSort(ae.apply(this)))},(b=ce.expr={cacheLength:50,createPseudo:F,match:D,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(O,P),e[3]=(e[3]||e[4]||e[5]||"").replace(O,P),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||I.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&I.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return D.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&j.test(n)&&(t=Y(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(O,P).toLowerCase();return"*"===e?function(){return!0}:function(e){return fe(e,t)}},CLASS:function(e){var t=s[e+" "];return t||(t=new RegExp("(^|"+ge+")"+e+"("+ge+"|$)"))&&s(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=I.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(v," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(d,e,t,h,g){var v="nth"!==d.slice(0,3),y="last"!==d.slice(-4),m="of-type"===e;return 1===h&&0===g?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u=v!==y?"nextSibling":"previousSibling",l=e.parentNode,c=m&&e.nodeName.toLowerCase(),f=!n&&!m,p=!1;if(l){if(v){while(u){o=e;while(o=o[u])if(m?fe(o,c):1===o.nodeType)return!1;s=u="only"===d&&!s&&"nextSibling"}return!0}if(s=[y?l.firstChild:l.lastChild],y&&f){p=(a=(r=(i=l[S]||(l[S]={}))[d]||[])[0]===E&&r[1])&&r[2],o=a&&l.childNodes[a];while(o=++a&&o&&o[u]||(p=a=0)||s.pop())if(1===o.nodeType&&++p&&o===e){i[d]=[E,a,p];break}}else if(f&&(p=a=(r=(i=e[S]||(e[S]={}))[d]||[])[0]===E&&r[1]),!1===p)while(o=++a&&o&&o[u]||(p=a=0)||s.pop())if((m?fe(o,c):1===o.nodeType)&&++p&&(f&&((i=o[S]||(o[S]={}))[d]=[E,p]),o===e))break;return(p-=g)===h||p%h==0&&0<=p/h}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||I.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?F(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=se.call(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:F(function(e){var r=[],i=[],s=ne(e.replace(ve,"$1"));return s[S]?F(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:F(function(t){return function(e){return 0<I(t,e).length}}),contains:F(function(t){return t=t.replace(O,P),function(e){return-1<(e.textContent||ce.text(e)).indexOf(t)}}),lang:F(function(n){return A.test(n||"")||I.error("unsupported lang: "+n),n=n.replace(O,P).toLowerCase(),function(e){var t;do{if(t=C?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=ie.location&&ie.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===r},focus:function(e){return e===function(){try{return T.activeElement}catch(e){}}()&&T.hasFocus()&&!!(e.type||e.href||~e.tabIndex)},enabled:z(!1),disabled:z(!0),checked:function(e){return fe(e,"input")&&!!e.checked||fe(e,"option")&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return q.test(e.nodeName)},input:function(e){return N.test(e.nodeName)},button:function(e){return fe(e,"input")&&"button"===e.type||fe(e,"button")},text:function(e){var t;return fe(e,"input")&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:X(function(){return[0]}),last:X(function(e,t){return[t-1]}),eq:X(function(e,t,n){return[n<0?n+t:n]}),even:X(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:X(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:X(function(e,t,n){var r;for(r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:X(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=B(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=_(e);function G(){}function Y(e,t){var n,r,i,o,a,s,u,l=c[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=y.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=m.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace(ve," ")}),a=a.slice(n.length)),b.filter)!(r=D[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?I.error(e):c(e,s).slice(0)}function Q(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function J(a,e,t){var s=e.dir,u=e.next,l=u||s,c=t&&"parentNode"===l,f=n++;return e.first?function(e,t,n){while(e=e[s])if(1===e.nodeType||c)return a(e,t,n);return!1}:function(e,t,n){var r,i,o=[E,f];if(n){while(e=e[s])if((1===e.nodeType||c)&&a(e,t,n))return!0}else while(e=e[s])if(1===e.nodeType||c)if(i=e[S]||(e[S]={}),u&&fe(e,u))e=e[s]||e;else{if((r=i[l])&&r[0]===E&&r[1]===f)return o[2]=r[2];if((i[l]=o)[2]=a(e,t,n))return!0}return!1}}function K(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Z(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function ee(d,h,g,v,y,e){return v&&!v[S]&&(v=ee(v)),y&&!y[S]&&(y=ee(y,e)),F(function(e,t,n,r){var i,o,a,s,u=[],l=[],c=t.length,f=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)I(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),p=!d||!e&&h?f:Z(f,u,d,n,r);if(g?g(p,s=y||(e?d:c||v)?[]:t,n,r):s=p,v){i=Z(s,l),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(s[l[o]]=!(p[l[o]]=a))}if(e){if(y||d){if(y){i=[],o=s.length;while(o--)(a=s[o])&&i.push(p[o]=a);y(null,s=[],i,r)}o=s.length;while(o--)(a=s[o])&&-1<(i=y?se.call(e,a):u[o])&&(e[i]=!(t[i]=a))}}else s=Z(s===t?s.splice(c,s.length):s),y?y(null,t,s,r):k.apply(t,s)})}function te(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=J(function(e){return e===i},a,!0),l=J(function(e){return-1<se.call(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!=w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[J(K(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return ee(1<s&&K(c),1<s&&Q(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace(ve,"$1"),t,s<n&&te(e.slice(s,n)),n<r&&te(e=e.slice(n)),n<r&&Q(e))}c.push(t)}return K(c)}function ne(e,t){var n,v,y,m,x,r,i=[],o=[],a=u[e+" "];if(!a){t||(t=Y(e)),n=t.length;while(n--)(a=te(t[n]))[S]?i.push(a):o.push(a);(a=u(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=E+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==T||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==T||(V(o),n=!C);while(s=v[a++])if(s(o,t||T,n)){k.call(r,o);break}i&&(E=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=pe.call(r));f=Z(f)}k.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&ce.uniqueSort(r)}return i&&(E=h,w=p),c},m?F(r):r))).selector=e}return a}function re(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&Y(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&C&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(O,P),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=D.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(O,P),H.test(o[0].type)&&U(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&Q(o)))return k.apply(n,r),n;break}}}return(l||ne(e,c))(r,t,!C,n,!t||H.test(e)&&U(t.parentNode)||t),n}G.prototype=b.filters=b.pseudos,b.setFilters=new G,le.sortStable=S.split("").sort(l).join("")===S,V(),le.sortDetached=$(function(e){return 1&e.compareDocumentPosition(T.createElement("fieldset"))}),ce.find=I,ce.expr[":"]=ce.expr.pseudos,ce.unique=ce.uniqueSort,I.compile=ne,I.select=re,I.setDocument=V,I.tokenize=Y,I.escape=ce.escapeSelector,I.getText=ce.text,I.isXML=ce.isXMLDoc,I.selectors=ce.expr,I.support=ce.support,I.uniqueSort=ce.uniqueSort}();var d=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&ce(e).is(n))break;r.push(e)}return r},h=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},b=ce.expr.match.needsContext,w=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function T(e,n,r){return v(n)?ce.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?ce.grep(e,function(e){return e===n!==r}):"string"!=typeof n?ce.grep(e,function(e){return-1<se.call(n,e)!==r}):ce.filter(n,e,r)}ce.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?ce.find.matchesSelector(r,e)?[r]:[]:ce.find.matches(e,ce.grep(t,function(e){return 1===e.nodeType}))},ce.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(ce(e).filter(function(){for(t=0;t<r;t++)if(ce.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)ce.find(e,i[t],n);return 1<r?ce.uniqueSort(n):n},filter:function(e){return this.pushStack(T(this,e||[],!1))},not:function(e){return this.pushStack(T(this,e||[],!0))},is:function(e){return!!T(this,"string"==typeof e&&b.test(e)?ce(e):e||[],!1).length}});var k,S=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(ce.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||k,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:S.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof ce?t[0]:t,ce.merge(this,ce.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:C,!0)),w.test(r[1])&&ce.isPlainObject(t))for(r in t)v(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=C.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):v(e)?void 0!==n.ready?n.ready(e):e(ce):ce.makeArray(e,this)}).prototype=ce.fn,k=ce(C);var E=/^(?:parents|prev(?:Until|All))/,j={children:!0,contents:!0,next:!0,prev:!0};function A(e,t){while((e=e[t])&&1!==e.nodeType);return e}ce.fn.extend({has:function(e){var t=ce(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(ce.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&ce(e);if(!b.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&ce.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?ce.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?se.call(ce(e),this[0]):se.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(ce.uniqueSort(ce.merge(this.get(),ce(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),ce.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return d(e,"parentNode")},parentsUntil:function(e,t,n){return d(e,"parentNode",n)},next:function(e){return A(e,"nextSibling")},prev:function(e){return A(e,"previousSibling")},nextAll:function(e){return d(e,"nextSibling")},prevAll:function(e){return d(e,"previousSibling")},nextUntil:function(e,t,n){return d(e,"nextSibling",n)},prevUntil:function(e,t,n){return d(e,"previousSibling",n)},siblings:function(e){return h((e.parentNode||{}).firstChild,e)},children:function(e){return h(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(fe(e,"template")&&(e=e.content||e),ce.merge([],e.childNodes))}},function(r,i){ce.fn[r]=function(e,t){var n=ce.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=ce.filter(t,n)),1<this.length&&(j[r]||ce.uniqueSort(n),E.test(r)&&n.reverse()),this.pushStack(n)}});var D=/[^\x20\t\r\n\f]+/g;function N(e){return e}function q(e){throw e}function L(e,t,n,r){var i;try{e&&v(i=e.promise)?i.call(e).done(t).fail(n):e&&v(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}ce.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},ce.each(e.match(D)||[],function(e,t){n[t]=!0}),n):ce.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){ce.each(e,function(e,t){v(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==x(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return ce.each(arguments,function(e,t){var n;while(-1<(n=ce.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<ce.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},ce.extend({Deferred:function(e){var o=[["notify","progress",ce.Callbacks("memory"),ce.Callbacks("memory"),2],["resolve","done",ce.Callbacks("once memory"),ce.Callbacks("once memory"),0,"resolved"],["reject","fail",ce.Callbacks("once memory"),ce.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return ce.Deferred(function(r){ce.each(o,function(e,t){var n=v(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&v(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,v(t)?s?t.call(e,l(u,o,N,s),l(u,o,q,s)):(u++,t.call(e,l(u,o,N,s),l(u,o,q,s),l(u,o,N,o.notifyWith))):(a!==N&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){ce.Deferred.exceptionHook&&ce.Deferred.exceptionHook(e,t.error),u<=i+1&&(a!==q&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(ce.Deferred.getErrorHook?t.error=ce.Deferred.getErrorHook():ce.Deferred.getStackHook&&(t.error=ce.Deferred.getStackHook()),ie.setTimeout(t))}}return ce.Deferred(function(e){o[0][3].add(l(0,e,v(r)?r:N,e.notifyWith)),o[1][3].add(l(0,e,v(t)?t:N)),o[2][3].add(l(0,e,v(n)?n:q))}).promise()},promise:function(e){return null!=e?ce.extend(e,a):a}},s={};return ce.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=ae.call(arguments),o=ce.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?ae.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(L(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||v(i[t]&&i[t].then)))return o.then();while(t--)L(i[t],a(t),o.reject);return o.promise()}});var H=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;ce.Deferred.exceptionHook=function(e,t){ie.console&&ie.console.warn&&e&&H.test(e.name)&&ie.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},ce.readyException=function(e){ie.setTimeout(function(){throw e})};var O=ce.Deferred();function P(){C.removeEventListener("DOMContentLoaded",P),ie.removeEventListener("load",P),ce.ready()}ce.fn.ready=function(e){return O.then(e)["catch"](function(e){ce.readyException(e)}),this},ce.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--ce.readyWait:ce.isReady)||(ce.isReady=!0)!==e&&0<--ce.readyWait||O.resolveWith(C,[ce])}}),ce.ready.then=O.then,"complete"===C.readyState||"loading"!==C.readyState&&!C.documentElement.doScroll?ie.setTimeout(ce.ready):(C.addEventListener("DOMContentLoaded",P),ie.addEventListener("load",P));var M=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===x(n))for(s in i=!0,n)M(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,v(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(ce(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},R=/^-ms-/,I=/-([a-z])/g;function W(e,t){return t.toUpperCase()}function F(e){return e.replace(R,"ms-").replace(I,W)}var $=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function B(){this.expando=ce.expando+B.uid++}B.uid=1,B.prototype={cache:function(e){var t=e[this.expando];return t||(t={},$(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[F(t)]=n;else for(r in t)i[F(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][F(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(F):(t=F(t))in r?[t]:t.match(D)||[]).length;while(n--)delete r[t[n]]}(void 0===t||ce.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!ce.isEmptyObject(t)}};var _=new B,z=new B,X=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,U=/[A-Z]/g;function V(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(U,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:X.test(i)?JSON.parse(i):i)}catch(e){}z.set(e,t,n)}else n=void 0;return n}ce.extend({hasData:function(e){return z.hasData(e)||_.hasData(e)},data:function(e,t,n){return z.access(e,t,n)},removeData:function(e,t){z.remove(e,t)},_data:function(e,t,n){return _.access(e,t,n)},_removeData:function(e,t){_.remove(e,t)}}),ce.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=z.get(o),1===o.nodeType&&!_.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=F(r.slice(5)),V(o,r,i[r]));_.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){z.set(this,n)}):M(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=z.get(o,n))?t:void 0!==(t=V(o,n))?t:void 0;this.each(function(){z.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){z.remove(this,e)})}}),ce.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=_.get(e,t),n&&(!r||Array.isArray(n)?r=_.access(e,t,ce.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=ce.queue(e,t),r=n.length,i=n.shift(),o=ce._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){ce.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return _.get(e,n)||_.access(e,n,{empty:ce.Callbacks("once memory").add(function(){_.remove(e,[t+"queue",n])})})}}),ce.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?ce.queue(this[0],t):void 0===n?this:this.each(function(){var e=ce.queue(this,t,n);ce._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&ce.dequeue(this,t)})},dequeue:function(e){return this.each(function(){ce.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=ce.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=_.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var G=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,Y=new RegExp("^(?:([+-])=|)("+G+")([a-z%]*)$","i"),Q=["Top","Right","Bottom","Left"],J=C.documentElement,K=function(e){return ce.contains(e.ownerDocument,e)},Z={composed:!0};J.getRootNode&&(K=function(e){return ce.contains(e.ownerDocument,e)||e.getRootNode(Z)===e.ownerDocument});var ee=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&K(e)&&"none"===ce.css(e,"display")};function te(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return ce.css(e,t,"")},u=s(),l=n&&n[3]||(ce.cssNumber[t]?"":"px"),c=e.nodeType&&(ce.cssNumber[t]||"px"!==l&&+u)&&Y.exec(ce.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)ce.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,ce.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ne={};function re(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=_.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ee(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ne[s])||(o=a.body.appendChild(a.createElement(s)),u=ce.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ne[s]=u)))):"none"!==n&&(l[c]="none",_.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}ce.fn.extend({show:function(){return re(this,!0)},hide:function(){return re(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ee(this)?ce(this).show():ce(this).hide()})}});var xe,be,we=/^(?:checkbox|radio)$/i,Te=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,Ce=/^$|^module$|\/(?:java|ecma)script/i;xe=C.createDocumentFragment().appendChild(C.createElement("div")),(be=C.createElement("input")).setAttribute("type","radio"),be.setAttribute("checked","checked"),be.setAttribute("name","t"),xe.appendChild(be),le.checkClone=xe.cloneNode(!0).cloneNode(!0).lastChild.checked,xe.innerHTML="<textarea>x</textarea>",le.noCloneChecked=!!xe.cloneNode(!0).lastChild.defaultValue,xe.innerHTML="<option></option>",le.option=!!xe.lastChild;var ke={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function Se(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&fe(e,t)?ce.merge([e],n):n}function Ee(e,t){for(var n=0,r=e.length;n<r;n++)_.set(e[n],"globalEval",!t||_.get(t[n],"globalEval"))}ke.tbody=ke.tfoot=ke.colgroup=ke.caption=ke.thead,ke.th=ke.td,le.option||(ke.optgroup=ke.option=[1,"<select multiple='multiple'>","</select>"]);var je=/<|&#?\w+;/;function Ae(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===x(o))ce.merge(p,o.nodeType?[o]:o);else if(je.test(o)){a=a||f.appendChild(t.createElement("div")),s=(Te.exec(o)||["",""])[1].toLowerCase(),u=ke[s]||ke._default,a.innerHTML=u[1]+ce.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;ce.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<ce.inArray(o,r))i&&i.push(o);else if(l=K(o),a=Se(f.appendChild(o),"script"),l&&Ee(a),n){c=0;while(o=a[c++])Ce.test(o.type||"")&&n.push(o)}return f}var De=/^([^.]*)(?:\.(.+)|)/;function Ne(){return!0}function qe(){return!1}function Le(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Le(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=qe;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return ce().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=ce.guid++)),e.each(function(){ce.event.add(this,t,i,r,n)})}function He(e,r,t){t?(_.set(e,r,!1),ce.event.add(e,r,{namespace:!1,handler:function(e){var t,n=_.get(this,r);if(1&e.isTrigger&&this[r]){if(n)(ce.event.special[r]||{}).delegateType&&e.stopPropagation();else if(n=ae.call(arguments),_.set(this,r,n),this[r](),t=_.get(this,r),_.set(this,r,!1),n!==t)return e.stopImmediatePropagation(),e.preventDefault(),t}else n&&(_.set(this,r,ce.event.trigger(n[0],n.slice(1),this)),e.stopPropagation(),e.isImmediatePropagationStopped=Ne)}})):void 0===_.get(e,r)&&ce.event.add(e,r,Ne)}ce.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=_.get(t);if($(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&ce.find.matchesSelector(J,i),n.guid||(n.guid=ce.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof ce&&ce.event.triggered!==e.type?ce.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(D)||[""]).length;while(l--)d=g=(s=De.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=ce.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=ce.event.special[d]||{},c=ce.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&ce.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),ce.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=_.hasData(e)&&_.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(D)||[""]).length;while(l--)if(d=g=(s=De.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=ce.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||ce.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)ce.event.remove(e,d+t[l],n,r,!0);ce.isEmptyObject(u)&&_.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=ce.event.fix(e),l=(_.get(this,"events")||Object.create(null))[u.type]||[],c=ce.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=ce.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((ce.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<ce(i,this).index(l):ce.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(ce.Event.prototype,t,{enumerable:!0,configurable:!0,get:v(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[ce.expando]?e:new ce.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return we.test(t.type)&&t.click&&fe(t,"input")&&He(t,"click",!0),!1},trigger:function(e){var t=this||e;return we.test(t.type)&&t.click&&fe(t,"input")&&He(t,"click"),!0},_default:function(e){var t=e.target;return we.test(t.type)&&t.click&&fe(t,"input")&&_.get(t,"click")||fe(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},ce.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},ce.Event=function(e,t){if(!(this instanceof ce.Event))return new ce.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?Ne:qe,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&ce.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[ce.expando]=!0},ce.Event.prototype={constructor:ce.Event,isDefaultPrevented:qe,isPropagationStopped:qe,isImmediatePropagationStopped:qe,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=Ne,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=Ne,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=Ne,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},ce.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},ce.event.addProp),ce.each({focus:"focusin",blur:"focusout"},function(r,i){function o(e){if(C.documentMode){var t=_.get(this,"handle"),n=ce.event.fix(e);n.type="focusin"===e.type?"focus":"blur",n.isSimulated=!0,t(e),n.target===n.currentTarget&&t(n)}else ce.event.simulate(i,e.target,ce.event.fix(e))}ce.event.special[r]={setup:function(){var e;if(He(this,r,!0),!C.documentMode)return!1;(e=_.get(this,i))||this.addEventListener(i,o),_.set(this,i,(e||0)+1)},trigger:function(){return He(this,r),!0},teardown:function(){var e;if(!C.documentMode)return!1;(e=_.get(this,i)-1)?_.set(this,i,e):(this.removeEventListener(i,o),_.remove(this,i))},_default:function(e){return _.get(e.target,r)},delegateType:i},ce.event.special[i]={setup:function(){var e=this.ownerDocument||this.document||this,t=C.documentMode?this:e,n=_.get(t,i);n||(C.documentMode?this.addEventListener(i,o):e.addEventListener(r,o,!0)),_.set(t,i,(n||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=C.documentMode?this:e,n=_.get(t,i)-1;n?_.set(t,i,n):(C.documentMode?this.removeEventListener(i,o):e.removeEventListener(r,o,!0),_.remove(t,i))}}}),ce.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){ce.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||ce.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),ce.fn.extend({on:function(e,t,n,r){return Le(this,e,t,n,r)},one:function(e,t,n,r){return Le(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,ce(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=qe),this.each(function(){ce.event.remove(this,e,n,t)})}});var Oe=/<script|<style|<link/i,Pe=/checked\s*(?:[^=]|=\s*.checked.)/i,Me=/^\s*<!\[CDATA\[|\]\]>\s*$/g;function Re(e,t){return fe(e,"table")&&fe(11!==t.nodeType?t:t.firstChild,"tr")&&ce(e).children("tbody")[0]||e}function Ie(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function We(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Fe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(_.hasData(e)&&(s=_.get(e).events))for(i in _.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)ce.event.add(t,i,s[i][n]);z.hasData(e)&&(o=z.access(e),a=ce.extend({},o),z.set(t,a))}}function $e(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=v(d);if(h||1<f&&"string"==typeof d&&!le.checkClone&&Pe.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),$e(t,r,i,o)});if(f&&(t=(e=Ae(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=ce.map(Se(e,"script"),Ie)).length;c<f;c++)u=e,c!==p&&(u=ce.clone(u,!0,!0),s&&ce.merge(a,Se(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,ce.map(a,We),c=0;c<s;c++)u=a[c],Ce.test(u.type||"")&&!_.access(u,"globalEval")&&ce.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?ce._evalUrl&&!u.noModule&&ce._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):m(u.textContent.replace(Me,""),u,l))}return n}function Be(e,t,n){for(var r,i=t?ce.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||ce.cleanData(Se(r)),r.parentNode&&(n&&K(r)&&Ee(Se(r,"script")),r.parentNode.removeChild(r));return e}ce.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=K(e);if(!(le.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||ce.isXMLDoc(e)))for(a=Se(c),r=0,i=(o=Se(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&we.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||Se(e),a=a||Se(c),r=0,i=o.length;r<i;r++)Fe(o[r],a[r]);else Fe(e,c);return 0<(a=Se(c,"script")).length&&Ee(a,!f&&Se(e,"script")),c},cleanData:function(e){for(var t,n,r,i=ce.event.special,o=0;void 0!==(n=e[o]);o++)if($(n)){if(t=n[_.expando]){if(t.events)for(r in t.events)i[r]?ce.event.remove(n,r):ce.removeEvent(n,r,t.handle);n[_.expando]=void 0}n[z.expando]&&(n[z.expando]=void 0)}}}),ce.fn.extend({detach:function(e){return Be(this,e,!0)},remove:function(e){return Be(this,e)},text:function(e){return M(this,function(e){return void 0===e?ce.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return $e(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||Re(this,e).appendChild(e)})},prepend:function(){return $e(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=Re(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return $e(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return $e(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(ce.cleanData(Se(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return ce.clone(this,e,t)})},html:function(e){return M(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!Oe.test(e)&&!ke[(Te.exec(e)||["",""])[1].toLowerCase()]){e=ce.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(ce.cleanData(Se(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return $e(this,arguments,function(e){var t=this.parentNode;ce.inArray(this,n)<0&&(ce.cleanData(Se(this)),t&&t.replaceChild(e,this))},n)}}),ce.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){ce.fn[e]=function(e){for(var t,n=[],r=ce(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),ce(r[o])[a](t),s.apply(n,t.get());return this.pushStack(n)}});var _e=new RegExp("^("+G+")(?!px)[a-z%]+$","i"),ze=/^--/,Xe=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=ie),t.getComputedStyle(e)},Ue=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ve=new RegExp(Q.join("|"),"i");function Ge(e,t,n){var r,i,o,a,s=ze.test(t),u=e.style;return(n=n||Xe(e))&&(a=n.getPropertyValue(t)||n[t],s&&a&&(a=a.replace(ve,"$1")||void 0),""!==a||K(e)||(a=ce.style(e,t)),!le.pixelBoxStyles()&&_e.test(a)&&Ve.test(t)&&(r=u.width,i=u.minWidth,o=u.maxWidth,u.minWidth=u.maxWidth=u.width=a,a=n.width,u.width=r,u.minWidth=i,u.maxWidth=o)),void 0!==a?a+"":a}function Ye(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",J.appendChild(u).appendChild(l);var e=ie.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),J.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=C.createElement("div"),l=C.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",le.clearCloneStyle="content-box"===l.style.backgroundClip,ce.extend(le,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=C.createElement("table"),t=C.createElement("tr"),n=C.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="box-sizing:content-box;border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",J.appendChild(e).appendChild(t).appendChild(n),r=ie.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,J.removeChild(e)),a}}))}();var Qe=["Webkit","Moz","ms"],Je=C.createElement("div").style,Ke={};function Ze(e){var t=ce.cssProps[e]||Ke[e];return t||(e in Je?e:Ke[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Qe.length;while(n--)if((e=Qe[n]+t)in Je)return e}(e)||e)}var et=/^(none|table(?!-c[ea]).+)/,tt={position:"absolute",visibility:"hidden",display:"block"},nt={letterSpacing:"0",fontWeight:"400"};function rt(e,t,n){var r=Y.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function it(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0,l=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(l+=ce.css(e,n+Q[a],!0,i)),r?("content"===n&&(u-=ce.css(e,"padding"+Q[a],!0,i)),"margin"!==n&&(u-=ce.css(e,"border"+Q[a]+"Width",!0,i))):(u+=ce.css(e,"padding"+Q[a],!0,i),"padding"!==n?u+=ce.css(e,"border"+Q[a]+"Width",!0,i):s+=ce.css(e,"border"+Q[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u+l}function ot(e,t,n){var r=Xe(e),i=(!le.boxSizingReliable()||n)&&"border-box"===ce.css(e,"boxSizing",!1,r),o=i,a=Ge(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(_e.test(a)){if(!n)return a;a="auto"}return(!le.boxSizingReliable()&&i||!le.reliableTrDimensions()&&fe(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===ce.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===ce.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+it(e,t,n||(i?"border":"content"),o,r,a)+"px"}function at(e,t,n,r,i){return new at.prototype.init(e,t,n,r,i)}ce.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Ge(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,aspectRatio:!0,borderImageSlice:!0,columnCount:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,scale:!0,widows:!0,zIndex:!0,zoom:!0,fillOpacity:!0,floodOpacity:!0,stopOpacity:!0,strokeMiterlimit:!0,strokeOpacity:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=F(t),u=ze.test(t),l=e.style;if(u||(t=Ze(s)),a=ce.cssHooks[t]||ce.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=Y.exec(n))&&i[1]&&(n=te(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(ce.cssNumber[s]?"":"px")),le.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=F(t);return ze.test(t)||(t=Ze(s)),(a=ce.cssHooks[t]||ce.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Ge(e,t,r)),"normal"===i&&t in nt&&(i=nt[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),ce.each(["height","width"],function(e,u){ce.cssHooks[u]={get:function(e,t,n){if(t)return!et.test(ce.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?ot(e,u,n):Ue(e,tt,function(){return ot(e,u,n)})},set:function(e,t,n){var r,i=Xe(e),o=!le.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===ce.css(e,"boxSizing",!1,i),s=n?it(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-it(e,u,"border",!1,i)-.5)),s&&(r=Y.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=ce.css(e,u)),rt(0,t,s)}}}),ce.cssHooks.marginLeft=Ye(le.reliableMarginLeft,function(e,t){if(t)return(parseFloat(Ge(e,"marginLeft"))||e.getBoundingClientRect().left-Ue(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),ce.each({margin:"",padding:"",border:"Width"},function(i,o){ce.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+Q[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(ce.cssHooks[i+o].set=rt)}),ce.fn.extend({css:function(e,t){return M(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Xe(e),i=t.length;a<i;a++)o[t[a]]=ce.css(e,t[a],!1,r);return o}return void 0!==n?ce.style(e,t,n):ce.css(e,t)},e,t,1<arguments.length)}}),((ce.Tween=at).prototype={constructor:at,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||ce.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(ce.cssNumber[n]?"":"px")},cur:function(){var e=at.propHooks[this.prop];return e&&e.get?e.get(this):at.propHooks._default.get(this)},run:function(e){var t,n=at.propHooks[this.prop];return this.options.duration?this.pos=t=ce.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,(at.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=ce.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){ce.fx.step[e.prop]?ce.fx.step[e.prop](e):1!==e.elem.nodeType||!ce.cssHooks[e.prop]&&null==e.elem.style[Ze(e.prop)]?e.elem[e.prop]=e.now:ce.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=at.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},ce.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},ce.fx=at.prototype.init,ce.fx.step={};var st,ut,lt,ct,ft=/^(?:toggle|show|hide)$/,pt=/queueHooks$/;function dt(){ut&&(!1===C.hidden&&ie.requestAnimationFrame?ie.requestAnimationFrame(dt):ie.setTimeout(dt,ce.fx.interval),ce.fx.tick())}function ht(){return ie.setTimeout(function(){st=void 0}),st=Date.now()}function gt(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=Q[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function vt(e,t,n){for(var r,i=(yt.tweeners[t]||[]).concat(yt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function yt(o,e,t){var n,a,r=0,i=yt.prefilters.length,s=ce.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=st||ht(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:ce.extend({},e),opts:ce.extend(!0,{specialEasing:{},easing:ce.easing._default},t),originalProperties:e,originalOptions:t,startTime:st||ht(),duration:t.duration,tweens:[],createTween:function(e,t){var n=ce.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=F(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=ce.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=yt.prefilters[r].call(l,o,c,l.opts))return v(n.stop)&&(ce._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return ce.map(c,vt,l),v(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),ce.fx.timer(ce.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}ce.Animation=ce.extend(yt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return te(n.elem,e,Y.exec(t),n),n}]},tweener:function(e,t){v(e)?(t=e,e=["*"]):e=e.match(D);for(var n,r=0,i=e.length;r<i;r++)n=e[r],yt.tweeners[n]=yt.tweeners[n]||[],yt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ee(e),v=_.get(e,"fxshow");for(r in n.queue||(null==(a=ce._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,ce.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],ft.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||ce.style(e,r)}if((u=!ce.isEmptyObject(t))||!ce.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=_.get(e,"display")),"none"===(c=ce.css(e,"display"))&&(l?c=l:(re([e],!0),l=e.style.display||l,c=ce.css(e,"display"),re([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===ce.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=_.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&re([e],!0),p.done(function(){for(r in g||re([e]),_.remove(e,"fxshow"),d)ce.style(e,r,d[r])})),u=vt(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?yt.prefilters.unshift(e):yt.prefilters.push(e)}}),ce.speed=function(e,t,n){var r=e&&"object"==typeof e?ce.extend({},e):{complete:n||!n&&t||v(e)&&e,duration:e,easing:n&&t||t&&!v(t)&&t};return ce.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in ce.fx.speeds?r.duration=ce.fx.speeds[r.duration]:r.duration=ce.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){v(r.old)&&r.old.call(this),r.queue&&ce.dequeue(this,r.queue)},r},ce.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ee).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=ce.isEmptyObject(t),o=ce.speed(e,n,r),a=function(){var e=yt(this,ce.extend({},t),o);(i||_.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=ce.timers,r=_.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&pt.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||ce.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=_.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=ce.timers,o=n?n.length:0;for(t.finish=!0,ce.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),ce.each(["toggle","show","hide"],function(e,r){var i=ce.fn[r];ce.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(gt(r,!0),e,t,n)}}),ce.each({slideDown:gt("show"),slideUp:gt("hide"),slideToggle:gt("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){ce.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),ce.timers=[],ce.fx.tick=function(){var e,t=0,n=ce.timers;for(st=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||ce.fx.stop(),st=void 0},ce.fx.timer=function(e){ce.timers.push(e),ce.fx.start()},ce.fx.interval=13,ce.fx.start=function(){ut||(ut=!0,dt())},ce.fx.stop=function(){ut=null},ce.fx.speeds={slow:600,fast:200,_default:400},ce.fn.delay=function(r,e){return r=ce.fx&&ce.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=ie.setTimeout(e,r);t.stop=function(){ie.clearTimeout(n)}})},lt=C.createElement("input"),ct=C.createElement("select").appendChild(C.createElement("option")),lt.type="checkbox",le.checkOn=""!==lt.value,le.optSelected=ct.selected,(lt=C.createElement("input")).value="t",lt.type="radio",le.radioValue="t"===lt.value;var mt,xt=ce.expr.attrHandle;ce.fn.extend({attr:function(e,t){return M(this,ce.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){ce.removeAttr(this,e)})}}),ce.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?ce.prop(e,t,n):(1===o&&ce.isXMLDoc(e)||(i=ce.attrHooks[t.toLowerCase()]||(ce.expr.match.bool.test(t)?mt:void 0)),void 0!==n?null===n?void ce.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=ce.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!le.radioValue&&"radio"===t&&fe(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(D);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),mt={set:function(e,t,n){return!1===t?ce.removeAttr(e,n):e.setAttribute(n,n),n}},ce.each(ce.expr.match.bool.source.match(/\w+/g),function(e,t){var a=xt[t]||ce.find.attr;xt[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=xt[o],xt[o]=r,r=null!=a(e,t,n)?o:null,xt[o]=i),r}});var bt=/^(?:input|select|textarea|button)$/i,wt=/^(?:a|area)$/i;function Tt(e){return(e.match(D)||[]).join(" ")}function Ct(e){return e.getAttribute&&e.getAttribute("class")||""}function kt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(D)||[]}ce.fn.extend({prop:function(e,t){return M(this,ce.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[ce.propFix[e]||e]})}}),ce.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&ce.isXMLDoc(e)||(t=ce.propFix[t]||t,i=ce.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=ce.find.attr(e,"tabindex");return t?parseInt(t,10):bt.test(e.nodeName)||wt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),le.optSelected||(ce.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),ce.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){ce.propFix[this.toLowerCase()]=this}),ce.fn.extend({addClass:function(t){var e,n,r,i,o,a;return v(t)?this.each(function(e){ce(this).addClass(t.call(this,e,Ct(this)))}):(e=kt(t)).length?this.each(function(){if(r=Ct(this),n=1===this.nodeType&&" "+Tt(r)+" "){for(o=0;o<e.length;o++)i=e[o],n.indexOf(" "+i+" ")<0&&(n+=i+" ");a=Tt(n),r!==a&&this.setAttribute("class",a)}}):this},removeClass:function(t){var e,n,r,i,o,a;return v(t)?this.each(function(e){ce(this).removeClass(t.call(this,e,Ct(this)))}):arguments.length?(e=kt(t)).length?this.each(function(){if(r=Ct(this),n=1===this.nodeType&&" "+Tt(r)+" "){for(o=0;o<e.length;o++){i=e[o];while(-1<n.indexOf(" "+i+" "))n=n.replace(" "+i+" "," ")}a=Tt(n),r!==a&&this.setAttribute("class",a)}}):this:this.attr("class","")},toggleClass:function(t,n){var e,r,i,o,a=typeof t,s="string"===a||Array.isArray(t);return v(t)?this.each(function(e){ce(this).toggleClass(t.call(this,e,Ct(this),n),n)}):"boolean"==typeof n&&s?n?this.addClass(t):this.removeClass(t):(e=kt(t),this.each(function(){if(s)for(o=ce(this),i=0;i<e.length;i++)r=e[i],o.hasClass(r)?o.removeClass(r):o.addClass(r);else void 0!==t&&"boolean"!==a||((r=Ct(this))&&_.set(this,"__className__",r),this.setAttribute&&this.setAttribute("class",r||!1===t?"":_.get(this,"__className__")||""))}))},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+Tt(Ct(n))+" ").indexOf(t))return!0;return!1}});var St=/\r/g;ce.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=v(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,ce(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=ce.map(t,function(e){return null==e?"":e+""})),(r=ce.valHooks[this.type]||ce.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=ce.valHooks[t.type]||ce.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(St,""):null==e?"":e:void 0}}),ce.extend({valHooks:{option:{get:function(e){var t=ce.find.attr(e,"value");return null!=t?t:Tt(ce.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!fe(n.parentNode,"optgroup"))){if(t=ce(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=ce.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<ce.inArray(ce.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),ce.each(["radio","checkbox"],function(){ce.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<ce.inArray(ce(e).val(),t)}},le.checkOn||(ce.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})});var Et=ie.location,jt={guid:Date.now()},At=/\?/;ce.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new ie.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||ce.error("Invalid XML: "+(n?ce.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Dt=/^(?:focusinfocus|focusoutblur)$/,Nt=function(e){e.stopPropagation()};ce.extend(ce.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||C],d=ue.call(e,"type")?e.type:e,h=ue.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||C,3!==n.nodeType&&8!==n.nodeType&&!Dt.test(d+ce.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[ce.expando]?e:new ce.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:ce.makeArray(t,[e]),c=ce.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!y(n)){for(s=c.delegateType||d,Dt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||C)&&p.push(a.defaultView||a.parentWindow||ie)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(_.get(o,"events")||Object.create(null))[e.type]&&_.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&$(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!$(n)||u&&v(n[d])&&!y(n)&&((a=n[u])&&(n[u]=null),ce.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,Nt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,Nt),ce.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=ce.extend(new ce.Event,n,{type:e,isSimulated:!0});ce.event.trigger(r,null,t)}}),ce.fn.extend({trigger:function(e,t){return this.each(function(){ce.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return ce.event.trigger(e,t,n,!0)}});var qt=/\[\]$/,Lt=/\r?\n/g,Ht=/^(?:submit|button|image|reset|file)$/i,Ot=/^(?:input|select|textarea|keygen)/i;function Pt(n,e,r,i){var t;if(Array.isArray(e))ce.each(e,function(e,t){r||qt.test(n)?i(n,t):Pt(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==x(e))i(n,e);else for(t in e)Pt(n+"["+t+"]",e[t],r,i)}ce.param=function(e,t){var n,r=[],i=function(e,t){var n=v(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!ce.isPlainObject(e))ce.each(e,function(){i(this.name,this.value)});else for(n in e)Pt(n,e[n],t,i);return r.join("&")},ce.fn.extend({serialize:function(){return ce.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=ce.prop(this,"elements");return e?ce.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!ce(this).is(":disabled")&&Ot.test(this.nodeName)&&!Ht.test(e)&&(this.checked||!we.test(e))}).map(function(e,t){var n=ce(this).val();return null==n?null:Array.isArray(n)?ce.map(n,function(e){return{name:t.name,value:e.replace(Lt,"\r\n")}}):{name:t.name,value:n.replace(Lt,"\r\n")}}).get()}});var Mt=/%20/g,Rt=/#.*$/,It=/([?&])_=[^&]*/,Wt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Ft=/^(?:GET|HEAD)$/,$t=/^\/\//,Bt={},_t={},zt="*/".concat("*"),Xt=C.createElement("a");function Ut(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(D)||[];if(v(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Vt(t,i,o,a){var s={},u=t===_t;function l(e){var r;return s[e]=!0,ce.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Gt(e,t){var n,r,i=ce.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&ce.extend(!0,e,r),e}Xt.href=Et.href,ce.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Et.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Et.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":zt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":ce.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Gt(Gt(e,ce.ajaxSettings),t):Gt(ce.ajaxSettings,e)},ajaxPrefilter:Ut(Bt),ajaxTransport:Ut(_t),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=ce.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?ce(y):ce.event,x=ce.Deferred(),b=ce.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=Wt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||Et.href)+"").replace($t,Et.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(D)||[""],null==v.crossDomain){r=C.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Xt.protocol+"//"+Xt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=ce.param(v.data,v.traditional)),Vt(Bt,v,t,T),h)return T;for(i in(g=ce.event&&v.global)&&0==ce.active++&&ce.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Ft.test(v.type),f=v.url.replace(Rt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Mt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(At.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(It,"$1"),o=(At.test(f)?"&":"?")+"_="+jt.guid+++o),v.url=f+o),v.ifModified&&(ce.lastModified[f]&&T.setRequestHeader("If-Modified-Since",ce.lastModified[f]),ce.etag[f]&&T.setRequestHeader("If-None-Match",ce.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+zt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Vt(_t,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=ie.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&ie.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<ce.inArray("script",v.dataTypes)&&ce.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(ce.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(ce.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--ce.active||ce.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return ce.get(e,t,n,"json")},getScript:function(e,t){return ce.get(e,void 0,t,"script")}}),ce.each(["get","post"],function(e,i){ce[i]=function(e,t,n,r){return v(t)&&(r=r||n,n=t,t=void 0),ce.ajax(ce.extend({url:e,type:i,dataType:r,data:t,success:n},ce.isPlainObject(e)&&e))}}),ce.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),ce._evalUrl=function(e,t,n){return ce.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){ce.globalEval(e,t,n)}})},ce.fn.extend({wrapAll:function(e){var t;return this[0]&&(v(e)&&(e=e.call(this[0])),t=ce(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return v(n)?this.each(function(e){ce(this).wrapInner(n.call(this,e))}):this.each(function(){var e=ce(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=v(t);return this.each(function(e){ce(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){ce(this).replaceWith(this.childNodes)}),this}}),ce.expr.pseudos.hidden=function(e){return!ce.expr.pseudos.visible(e)},ce.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},ce.ajaxSettings.xhr=function(){try{return new ie.XMLHttpRequest}catch(e){}};var Yt={0:200,1223:204},Qt=ce.ajaxSettings.xhr();le.cors=!!Qt&&"withCredentials"in Qt,le.ajax=Qt=!!Qt,ce.ajaxTransport(function(i){var o,a;if(le.cors||Qt&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Yt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&ie.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),ce.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),ce.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return ce.globalEval(e),e}}}),ce.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),ce.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=ce("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),C.head.appendChild(r[0])},abort:function(){i&&i()}}});var Jt,Kt=[],Zt=/(=)\?(?=&|$)|\?\?/;ce.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=Kt.pop()||ce.expando+"_"+jt.guid++;return this[e]=!0,e}}),ce.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Zt.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Zt.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=v(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Zt,"$1"+r):!1!==e.jsonp&&(e.url+=(At.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||ce.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=ie[r],ie[r]=function(){o=arguments},n.always(function(){void 0===i?ce(ie).removeProp(r):ie[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,Kt.push(r)),o&&v(i)&&i(o[0]),o=i=void 0}),"script"}),le.createHTMLDocument=((Jt=C.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===Jt.childNodes.length),ce.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(le.createHTMLDocument?((r=(t=C.implementation.createHTMLDocument("")).createElement("base")).href=C.location.href,t.head.appendChild(r)):t=C),o=!n&&[],(i=w.exec(e))?[t.createElement(i[1])]:(i=Ae([e],t,o),o&&o.length&&ce(o).remove(),ce.merge([],i.childNodes)));var r,i,o},ce.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=Tt(e.slice(s)),e=e.slice(0,s)),v(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&ce.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?ce("<div>").append(ce.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},ce.expr.pseudos.animated=function(t){return ce.grep(ce.timers,function(e){return t===e.elem}).length},ce.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=ce.css(e,"position"),c=ce(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=ce.css(e,"top"),u=ce.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),v(t)&&(t=t.call(e,n,ce.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},ce.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){ce.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===ce.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===ce.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=ce(e).offset()).top+=ce.css(e,"borderTopWidth",!0),i.left+=ce.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-ce.css(r,"marginTop",!0),left:t.left-i.left-ce.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===ce.css(e,"position"))e=e.offsetParent;return e||J})}}),ce.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;ce.fn[t]=function(e){return M(this,function(e,t,n){var r;if(y(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),ce.each(["top","left"],function(e,n){ce.cssHooks[n]=Ye(le.pixelPosition,function(e,t){if(t)return t=Ge(e,n),_e.test(t)?ce(e).position()[n]+"px":t})}),ce.each({Height:"height",Width:"width"},function(a,s){ce.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){ce.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return M(this,function(e,t,n){var r;return y(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?ce.css(e,t,i):ce.style(e,t,n,i)},s,n?e:void 0,n)}})}),ce.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){ce.fn[t]=function(e){return this.on(t,e)}}),ce.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.on("mouseenter",e).on("mouseleave",t||e)}}),ce.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){ce.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var en=/^[\s\uFEFF\xA0]+|([^\s\uFEFF\xA0])[\s\uFEFF\xA0]+$/g;ce.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),v(e))return r=ae.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(ae.call(arguments)))}).guid=e.guid=e.guid||ce.guid++,i},ce.holdReady=function(e){e?ce.readyWait++:ce.ready(!0)},ce.isArray=Array.isArray,ce.parseJSON=JSON.parse,ce.nodeName=fe,ce.isFunction=v,ce.isWindow=y,ce.camelCase=F,ce.type=x,ce.now=Date.now,ce.isNumeric=function(e){var t=ce.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},ce.trim=function(e){return null==e?"":(e+"").replace(en,"$1")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return ce});var tn=ie.jQuery,nn=ie.$;return ce.noConflict=function(e){return ie.$===ce&&(ie.$=nn),e&&ie.jQuery===ce&&(ie.jQuery=tn),ce},"undefined"==typeof e&&(ie.jQuery=ie.$=ce),ce}); </script>
|
|
<script> let g_snapped = "";
|
|
// let g_lastHovered = "";
|
|
|
|
function hideAllDetails()
|
|
{
|
|
$(".container-feature-detail").hide();
|
|
$(".container-df-associations").hide();
|
|
$("span.bg-tab-summary-rollover").hide();
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
|
|
}
|
|
|
|
|
|
// GLOBAL EVENTS
|
|
// ---------------------------------------------------------------------------------------------------------------------------
|
|
// EVENT: [ANYWHERE] RIGHT-CLICK REMOVES SELECTION
|
|
// $(document).contextmenu(function() {
|
|
// if (g_snapped != "")
|
|
// {
|
|
// g_snapped = "";
|
|
// hideAllDetails();
|
|
// }
|
|
// if (g_lastHovered != "")
|
|
// {
|
|
// $(g_lastHovered).show();
|
|
// //alert("#"+g_lastHovered);
|
|
// }
|
|
// return false;
|
|
// });
|
|
|
|
$("span.bg-tab-summary-rollover").hide();
|
|
hideAllDetails();
|
|
|
|
$(document).ready(function() {
|
|
// INITIALIZATION
|
|
// --------------------------------------------------------
|
|
hideAllDetails();
|
|
$("span.bg-tab-summary-rollover").hide();
|
|
|
|
// Make the detail column the same height, so the floating element has room
|
|
//$("#col2").height($("#col1").height());
|
|
$("#col1").height(g_height);
|
|
$("#col2").height(g_height);
|
|
//alert($("#col1").height());
|
|
|
|
// SUMMARY AREA
|
|
// --------------------------------------------------------
|
|
// EVENT: SUMMARY ROLLOVER
|
|
// $(".selector, .container-feature-summary-target").hover(
|
|
$(".selector").hover(
|
|
// ENTER function
|
|
function(event) {
|
|
if(g_snapped=="")
|
|
{
|
|
// Rollover start!
|
|
$(".container-feature-detail").hide();
|
|
$("span.bg-tab-summary-rollover").hide();
|
|
$("#" + $(this).data("detail-div")).show();
|
|
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
|
|
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
|
|
$("#" + $(this).data("rollover-span")).show();
|
|
}
|
|
// g_lastHovered = "#" + $(this).data("detail-div");
|
|
},
|
|
// EXIT function
|
|
function(event) {
|
|
if(g_snapped=="")
|
|
{
|
|
// Rollover end!
|
|
hideAllDetails();
|
|
//FBFB $("#" + $(this).data("detail-div")).hide();
|
|
}
|
|
}
|
|
);
|
|
// EVENT: SUMMARY CLICK
|
|
// $(".container-feature-summary, .container-feature-summary-target").click(function(event) {
|
|
$(".selector").click(function(event) {
|
|
// No matter what, we should deselect the associations buttons
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
|
|
|
|
// alert($(this).parent().attr('id'));
|
|
let this_to_snap=$(this).parent().attr('id');
|
|
|
|
if(g_snapped == this_to_snap)
|
|
{
|
|
// "Unselect"
|
|
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
|
|
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
|
|
g_snapped = "";
|
|
}
|
|
else if (g_snapped == "")
|
|
{
|
|
// "Select"
|
|
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
|
|
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
|
|
g_snapped = $(this).parent().attr('id');
|
|
//$("#" + $(this).data("detail-div")).show();
|
|
//$(g_lastHovered).show();
|
|
// alert(this.parent().id);
|
|
}
|
|
else if (g_snapped !== this_to_snap) // implied
|
|
{
|
|
// "Select" while another was previously selected
|
|
$("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
|
|
$("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
|
|
|
|
$(".container-feature-detail").hide();
|
|
$("span.bg-tab-summary-rollover").hide();
|
|
$("#" + $(this).data("detail-div")).show();
|
|
|
|
$("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
|
|
$("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
|
|
$("#" + $(this).data("rollover-span")).css("display","inline");
|
|
g_snapped = $(this).parent().attr('id');
|
|
}
|
|
/*
|
|
if (g_snapped != "")
|
|
{
|
|
$('html,body').animate(
|
|
{scrollTop: $("#" + g_snapped).offset().top},
|
|
'fast');
|
|
|
|
}
|
|
|
|
*/
|
|
}
|
|
);
|
|
/*
|
|
$(window).scroll(function(e){
|
|
var $el = $('.container-feature-detail');
|
|
$el.css({'position': 'fixed', 'top': '0px'});
|
|
|
|
});
|
|
function fix_scroll() {
|
|
var s = parseFloat($(window).scrollTop()) / 0.6;
|
|
var fixedTitle = $('.container-feature-detail');
|
|
fixedTitle.css('position','absolute');
|
|
fixedTitle.css('top',s + 'px');
|
|
}fix_scroll();
|
|
|
|
$(window).on('scroll',fix_scroll);
|
|
*/
|
|
|
|
// ---------------------------------------------------------------------------------------------------------------------------
|
|
// SPECIFIC BUTTONS
|
|
// ---------------------------------------------------------------------------------------------------------------------------
|
|
// SUMMARY: ASSOCIATIONS -> HOVER
|
|
// --------------------------------------------------------
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").hover(
|
|
// ENTER function
|
|
function()
|
|
{
|
|
if(g_snapped=="")
|
|
{
|
|
hideAllDetails();
|
|
$("#" + $(this).data("detail-div")).show();
|
|
// $("#df-assoc").show();
|
|
//$("#df-assoc").show();
|
|
}
|
|
// g_lastHovered = "#df-assoc";
|
|
},
|
|
// EXIT function
|
|
function()
|
|
{
|
|
if(g_snapped=="")
|
|
{
|
|
hideAllDetails();
|
|
}
|
|
});
|
|
|
|
// SUMMARY: ASSOCIATIONS -> CLICK
|
|
// --------------------------------------------------------
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").click(function(event) {
|
|
// Quick hack: just remove the selected state to both buttons and restore if needed
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
|
|
$("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
|
|
let this_to_snap=this.id;
|
|
if(g_snapped == this_to_snap)
|
|
{
|
|
// DESELECT/HIDE ASSOC
|
|
// --------------------------------------------------------
|
|
g_snapped = "";
|
|
}
|
|
else if(g_snapped=="")
|
|
{
|
|
// SELECT/SHOW ASSOC (Hide other one if already shown)
|
|
// --------------------------------------------------------
|
|
//$(".container-feature-detail").hide();
|
|
//alert("#" + this.id+" GS:"+g_snapped);
|
|
//$("#df-assoc").show();
|
|
g_snapped = this.id;
|
|
$(this).addClass("button-assoc-selected");
|
|
}
|
|
else
|
|
{
|
|
// SWAP to OTHER ASSOC: DESELECT old, select new
|
|
// --------------------------------------------------------
|
|
$("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
|
|
$("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
|
|
hideAllDetails();
|
|
$(this).addClass("button-assoc-selected");
|
|
g_snapped = this.id;
|
|
$("#" + $(this).data("detail-div")).show();
|
|
}
|
|
// $(this).addClass("assoc_active");
|
|
});
|
|
|
|
|
|
// DETAIL GRAPH BUTTONS
|
|
$(".button-bin").click(function() {
|
|
which_id = $(this).attr('data-target');
|
|
$("#"+which_id).attr('class', $(this).attr('data-new_class') + " pos-detail-num-graph");
|
|
});
|
|
|
|
|
|
}); // $(document).ready(... </script>
|
|
<style> span.icon-expand { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAALRJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DNRAMqLfbjkRcYzYeDJh8ixxk6cMAizkgtCw9gsYwBbwan0EJHLD4+gEV8NNEMrlSKr0hjpLYPH0CLp/n4iikcRdp8JDMGvnpiJNBqc0DKc8SCDUB8AWdcjDYTRy0kFQAEGAAqdjq/C2RykQAAAABJRU5ErkJggg==);}
|
|
span.icon-categorical { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAOFJREFUeNpi/P//PwM9ARMDncGohVQHLHjkHKAYHTwA4gVQdgIQK2BRcwCKMQEolWLBCf/xgwYoxgcSsJmNy4cwVxcC8QUkcQMg7gdieyQxXGoUSA1SBqhBB6igZjSVwkE8WkqVJ1MNwVTqAMTv8aTA/VCMC7yHmoFhNiOewlsBms8YcORFBlwpEZpPHwwKH7LgKWUEoC59iBY/CVh8g02NA7bsQijRLETT5IDFQmLUjOZDlHIRH59YNQQthCXpfhzyB5Hiq5+AGURZCMtHhOrDB6TWh4yjrbZRCwe9hQABBgAyc1dqBJEdOQAAAABJRU5ErkJggg==);}
|
|
span.icon-collapse { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJxJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DPRCMwmg8HTT6E5x4i1TFSy8ID9Pah42iiGZIWfqCnhQ+gxdN8fMUUjiJtPpIZA189MRJotTlAMSlgAxBfwFkyjDYTRy0kFQAEGAD+JDS/pyABgwAAAABJRU5ErkJggg==);}
|
|
|
|
span.bg-tab-summary { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
|
|
span.bg-tab-summary-target { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
|
|
span.bg-tab-summary-target-full { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
|
|
span.bg-tab-summary-rollover { display: none; position: absolute; z-index:-9; content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABCAAAADTCAYAAABQpWLBAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAACCFJREFUeNrs3U9uW1UYxuGTqsAMsQEkdwOWO/MwrIB2B+4KmrIBkhUkrADvIGEFhJkHiFreQDNnwgyBAHMO90Z13PRPEr/Ibp5H+pRwVYnLsRSJX+/9srdcLgsAAABA0p4AAQAAAKQJEAAAAECcAAEAAADECRAAAABAnAABAAAAxAkQAAAAQJwAAQAAAMQJEAAAAECcAAEAAADECRAAAABAnAABAAAAxAkQAAAAQJwAAQAAAMQJEAAAAECcAAEAAADECRAAAABAnAABAAAAxO1MgFjMZwf1y/M6Ax8bcEO/1Tmv81Odaf/PO284GvtkAQDYGTsRIBbz2ff1y8THBWzItM5RnYtd/o8QIAAA2CUPtv0G+ycfJj4qYIPaz5RXdY7rfOE4AAAg7+EO3OPzle/bY9PP6pwPR+P/HqFezGc+ReA6e3Ue1/m8zqjO13X21/7MQX+t/VyZOzIAAMjZhQAxWPn+2XA0PvOxAR+gvV/2S//9eZ2T/ufJpHRh8/LJhxYnfqzztP9zAABAwIMdu1//cwDcxUWdw9I9GbH6xEOLES1CTBwRAABk7FSAuHztAuCOLkoXIaZr19vC22PHAwAAm/fAEQD3WNv98GLtWtsLcVospwQAgI0SIID7ru2GaPsfVp+welK6VzIGjgcAADZDgAAopS23/ap0r2ZcasspX/ZfAQCAOxIgADptKeV1yylbhJg4HgAAuBsBAuC19hpGexJiunbdckoAALgjAQLgqhYh2nLKo7XrbTllCxGWUwIAwC0IEADXOyxdiFhdTjkp3XJKEQIAAG5IgAB4u2npXslYjRBtKeWrYjklAADciAAB8G5tKeWj8uZyyvYkxMTxAADAhxEgAN7vcjnl2cq1FiHaTohDxwMAAO8nQAB8mBYhntY5Wbv+belCBAAA8A4CBMDNvCjdcspVkzovi+WUAADwVgIEwM1N6zwuby6nfFkspwQAgGsJEAC305ZSPi5Xl1MOSrec8onjAQCAqwQIgNu7KN1yyvOVa+01jNPShYiBIwIAgI4AAXA3l78hY7p2fb/Oq9KFiLYz4ktHBQDAffbQEQBsRIsMP5TuN2KsLqPc76f5s86nm/oXLuYzpw4AwKqLOt8NR+OTbbw5T0AAbM5ZnUd1jsrVBZX/9POJIwIAIGhQ53gxn23lr4kXIAA2q4WHw9KFiG/q/Fzn1zq/OxoAAP4nk8V8drBtN+UVDICMFiKO+/mszl91/nYsAADc1nA0vvb6Yj5rrwDvl6uvAz+vs1WvYggQAHl/OAIAAFKGo3H7y6+zfkfYaX95sG336RUMAAAA+Dicb/PNCRAAAADwEeifhNhaAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHECBAAAABAnQAAAAABxAgQAAAAQJ0AAAAAAcQIEAAAAECdAAAAAAHF7y+Vyq29wMZ8tfUwAAABwM8PReG+b7scTEAAAAECcAAEAAADE/SvAAIeUyuxDmspiAAAAAElFTkSuQmCC);}
|
|
span.bg-tab-summary-rollover-vertical { display: none; position: absolute; z-index:-9; content: url(data:image/png;base64,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);}
|
|
span.bg-tab-summary-rollover-locked { display: inline !important; position: absolute; z-index:-9; content: url(data:image/png;base64,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);}
|
|
span.bg-tab-detail-med { position: absolute; z-index:-10; width: 655px; content: url(data:image/png;base64,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);}
|
|
/* used in assoc */
|
|
span.bg-tab-detail-wide { position: absolute; z-index:-10; width: 879px; content: url(data:image/png;base64,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);}
|
|
|
|
span.bg-detail-column { position: relative; z-index:-10; content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASwAAAGQCAYAAAAUdV17AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAC8ZJREFUeNrs3cGOHEcZwPGa3rG9djDKAQFHAkIKCClGUe4cIy68RMSdF+DEFSnceQi4II7wBjnlgBQReIJIuTh2dppZZSa0e6u7q6prumd2fz9ptLN2srPySn99X29P96Zt2wBwCbZzv8Df//bX49ONf05gQHQy+vDXv1kmWPtQTQVKwECghnpQtNptclbCgUhthApIDFcbmbKSI5QUrEioNpE4bRKiJWbwQNa93p/Hnre54ZoMVi9Wm8jHzcjfTb6+nzXcm0CFkSh1Pw793WS0RoMViVU/VLFHygQG3N+IDUVq6JEcrcFgDcSq+2giz5uJ6Qu4/9HqhmjX+XzoeT9eg9FK+S1hLFRTj5SJC7h/oepPVLuBx6bzPHndjE5YnelqKFRXnY+x501kChMseBiT1a4Xq5vDI/a8G7E3Jq3YlHUnWImx2h4eV72P2160xqYt4P7Fqj9V3Ubp687H2PPkaOWshP1YPTo8+s+3A9OWYMHDmK6Oj687j9eHx9XhY+zrbKZWwu1EpGIH1a86kXrc+fi4F67uqmjKgoczXd30pqhXkQEmRP7fNvJ3wythZB3sHpu66sXpyeFx+/y693ls0upHC7gf0YrF6uYwSb06PL7aP14ePh4/Pz5/3fv/dkNr4TZhFTw+rjrT1TFSx1A9ff78u99778X7v3321nc+aJrmmZ8j8NXLl59+9tm//vzf//z70/Dmse3++nj8fDO2Go6thP1Jq+mtgk8OwXr6/R/88J0Xv/zgj0IFdD25vv75uz/7xR/2T39/iNaxLTeRqarpRevOWthkxKo7YT06Tla3j/039JFYATG3bfjxT3760f7ps0MzrsP/j3l3j3dHDxl1T2Lfxv4wshb2T2noHsd6+uzZW+/7sQBDrq+fvnuI1XGiOh7bGjsN6s5a2Iy8xmYgXFeRcAFMbojh7i/lhs7XjE9rE7HajExZjzqrIUBKsGZFq0l4kalombCA1GDFztVsQuIpT03Giw1Fa+vnACTohio7VqEgNt1VsXOgzJ13gElXYfpte/3PJ09rSJ20uuECSA1W8UUR5sbGW22A3F4Ud+PblfD2/Tqdc7FiO97QZU3dixVIDVaOrPOwwlCgIn8OMEf0+u45wWpHpqv+O7QBcuMUG3pGh6Am8YuHMH6dZoCcUCVHaipYU5PVLhItgNzJKvsQU+lKuOt9BCgNVrImcQ0cipYJC5gTrDDyPGvCGnqh2D3GAOZOWHkrYeQ+YCnHr278HIAEsVt5TR6I73apdMKyEgK1JqyqB92d1gDUDFb0pqm9/yY7WGPREiygxkp4ZwUsnbDG6uhMd2DuShhC4ltypoKV8rac4wF3wQJKgjV11nv2m5+HXshKCJSshMUH3KeCNXZAbGclBCpNWOUrYeRcrBCc1gDUCVb/wHvSKpizEjqtATj1ShhSpq2cY1hhJFwApSth0jqYEqzUKzYAlARrNFb9Q1RN4YuYsICSYO1OOWENxcsxLCDXLsy4tMyt7UScNiNTVidYruEHFK+EVSesqeNYJiygNFhZ13jPPegeglt9AXWDlSwarIEL+YXgEsnAvGCNHceaDFjJ1RpiZ7sDTIndvKbKTShSwuU8LKDGSjjrvoRTLxKCg+5AnWD1/y6MTV7NzBd0X0IgdyWMHbtKsq2xEraSBaS1IxatECq/l3Dq7TkAKcGKTVbJJ5DOOehuJQTmTFhDx62qXg8rmLCAmcNO1nsIJ4M1cOXRWKwEC0ixCzMuLZOzErYj66CVEJgzYSXLPdO9/8ImLKAkWCHUuAlF4bQFkDthDQ1E1YLltAag5kqYdV2suSuhCQtItQsLHMMauwyEY1jAnJUw69SGpuILA0x1YxcK35ZTEqyhKzYA5A46da44epR48qgJCygZeMb+u9kTlmu6A6eYsOa/NSehfFZCIMfs3xLOuR5W5xswZAFZE9bQEFRlwmonRjuAkpUwK1old82xEgI1ghVC5SuOpox1JiygajuGzlBoKn0DACUTVpamwosKFpA74JzmvoSJJ48C5K6EJ5+wZtUREKww47rucy7gl/wiAGGlY1hWQqDErJuo5garHVkNAUo2tXpXa0h8IcECciesk981JzZZmbCAnH5M3YCi+q3qY98AQE6wit4xkxSsyLlYJixgbrCyNZW+CYDcjWyx62G9UctWsoCyCevkd34OwW8IgfndOPlvCa2EQI2VMPvSMiXBGrr7M0DOSlg0+NRYCQULyA3WaS4vk7CHApRsadmSgzWwV5qwgDkT1mmCZdICKk1Xi13Ar+p4BzzICas4XtsZL9x5rltA1kpYNPC4gB+wRrCK3qIz9xLJACUrYYishid7a07IeRGAEL+e3qIrIcBi3WgqvKhwATkb2TLXwxq4kB9A7koYSsLlag3A0hNWcTca/4bACith6hZXLVjOwwJqroomLOAsJ6zFT2sAKAlW0XQ1J1hOawBKu7Habb7ECpgzYS0WLNfDAkqC1ZZuatnBmvq1I8CptjMH3YG1JqzscDnTHVhrqso+rOSgO7DGhGUlBC5uylo8WKYsIKcVq9w1R6iAkpUwlK6F2yrfhXQBCww7DroDa0xYd6Sc41kUrN4XFi2gdMBZ5EaqBi1gzpTl8jLAxU1YggWc/XQlWMD95sRRYOkJq98N7yUEzjpcVkLgYiasonAJFrDmlLXM9bBceRQonLCshMDFTFXFBAtYPVqpG5vTGoClY+WKo8D9J1jAkhPW6pdIBpizIgoWcLYTlmNYwP03K1hOHgUKJqx1ggWQGawQVr5VPUButExYwMVMWK7pDpx9sExYwMVNWN/K+eWdYAFrTFhFk9a2zjfh7AYgOViuhwVc1IRVNGUJFrCU3dwpq8qt6lsbIZA2Yb0xWeW+W8aEBay1EmYTLGCNYLlaA3ARwfJbQuAigjX2uWABJiyA0mAVTVeCBVwUwQKWnLCKpyvBAtaKlmABVkKA1acrwQJMWACCBQgWgGABCBbwEG3aCpcLff36lWuOAqMePXq8MWEBVkIAwQIotK3zZRzCAkxYAIIFCBaAYAEIFiBYAIIFPFhVzsNqnYYFmLAABAsQLADBAhAsQLAABAsQLADBAhAsQLAABAtAsADBAhAsgDLuSwiYsAAECxAsAMECECxAsAAEC0CwAMECECwAwQIEC0CwAAQLECyANVW5HlbrcliACQtAsADBAhAsAMECBAtAsADBAjh7bqQKmLAABAsQLADBAhAsQLAABAtAsADBAhAsAMECBAtAsAAECxAsAMECECxAsAAEC0CwAMECWE6Vu+a0bpoDmLAAKk9Y7ksImLAABAsQLADBAhAsQLAABAsQLADBAhAsQLAABAtAsADBAhAsAMECBAtAsAAECxAsAMECECxAsAAEC2CMG6kCJiwAwQKshLMWQhshYMICECxAsAAEC0CwAMECECxAsAAEC0CwAMECECwAwQIEC0CwAAQLECwAwQIQLECwAAQLIIUbqQImLADBAgQLQLAABAsQLADBApinynlYrdOwABMWgGABggUgWACCBQgWgGABggUgWACCBQgWgGABCBYgWACCBVDGfQkBExaAYAGCBSBYAIIFCBaAYAEIFiBYAIIFIFiAYAEIFoBgAYIFsKYq18NqXQ4LMGEBCBYgWACCBSBYgGABCBYgWABnz41UARMWgGABggUgWACCBQgWgGABCBYgWACCBSBYgGABCBaAYAGCBSBYAIIFCBaAYAEIFiBYAMupctec1k1zABMWQOUJy30JARMWgGABggUgWACCBQgWgGABggUgWACCBQgWgGABnEuwPvFPCYz4xzkF63M/D+DUQ02tYP3TzwM4dSNqBesvfh7AgC+eP3+7SiOqBGv/zdyuhL/zcwEi/lTrC1X7LeE+Wh/vP7yzf9x+/NzPCAjfHLv6uNYX27QV7iCx2Wzu/NmXX37xo/2HF4fHe/vH2352Z+VX/gk4xfp3iNTtMatPuqtglda0bnkDXAgnjgKCBSBYgGABCBaAYAGCBSBYAIIFCBaAYAEIFiBYAGfhfwIMAPaFe8v/qg8XAAAAAElFTkSuQmCC);}
|
|
span.bg-extra-column { position: absolute; z-index:-10; width: 295px; height: 275px; content: url(data:image/png;base64,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);}
|
|
|
|
div.ic-cat { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
|
|
div.ic-cat-light { z-index: 1; position: absolute; content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAP1JREFUeNpi/P//PwM9ARMDncGohVQHLLgkNqyc6wCkHLBIPQgIT14AVZMApBSwqDkAVHMAm7mM2FIp1KD5eBzaCKXr8ahJhDmMGB/CXF0IxBeQxA2AuB+I7ZHEcKlRIClIoeACctAAfU6umtFUCgfx0NQKA/JkqiFoIShO8oE4gQhHY1PzAWoGcdkCGvkKeCx8gJaa0cECYEJ6QEo+BAXReiAWwBMCDDgKBpgPA7FlflxB6gC1DJRxH6LFD7qvcalxwBashBLNQrQ85oDFQmLUjOZDRLmIVlQZkKmGoIWwJN2PQ/4gUuLqJ2AG0fmQfvXhaJtm1MJBZSFAgAEArrBnthzR+WkAAAAASUVORK5CYII=);}
|
|
div.ic-numeric { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
|
|
div.ic-numeric-light { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
|
|
div.ic-text { z-index: 1; position: absolute; content: url(data:image/png;base64,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);}
|
|
|
|
span.top-header { position: absolute; z-index:-1000; content: url(data:image/png;base64,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);}
|
|
|
|
div.tab-summary-rollover { content: url(data:image/png;base64,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);}
|
|
div.tab-summary-target { content: url(data:image/png;base64,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);}
|
|
|
|
div.im-logo { content: url(data:image/png;base64,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);}
|
|
|
|
div.ic-missing-green { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
|
|
div.ic-missing-yellow { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
|
|
div.ic-missing-orange { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);}
|
|
div.ic-missing-red { position: absolute; top: 2px; z-index: -1; content: url(data:image/png;base64,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);} </style>
|
|
<style> @font-face
|
|
{
|
|
font-family: RobotoBoldCond; font-style: normal; font-weight: normal;
|
|
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
|
|
}
|
|
@font-face
|
|
{
|
|
font-family: RobotoMed; font-style: normal; font-weight: normal;
|
|
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
|
|
}
|
|
@font-face
|
|
{
|
|
font-family: RobotoReg; font-style: normal; font-weight: normal;
|
|
src: url(data:font/truetype;charset=utf-8;base64,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) format('truetype');
|
|
}
|
|
|
|
body
|
|
{
|
|
/* Re-adding horizontal scrollbar
|
|
overflow-x: hidden;
|
|
background-color: #f7f7f7;
|
|
*/
|
|
background-color: #f3f3f0;
|
|
color: #58544f;
|
|
margin-top: 0px;
|
|
}
|
|
|
|
.isHidden { display: none; }
|
|
|
|
.page-root
|
|
{
|
|
/*width: 1880px;*/
|
|
/* Made this bigger to better match actual width and avoid flickering due to the horizontal Scrollbar showing up */
|
|
width: 1903px;
|
|
overflow: visible;
|
|
margin: 0 auto;
|
|
position: relative;
|
|
}
|
|
.page-root-vertical
|
|
{
|
|
width: 1056px;
|
|
overflow: visible;
|
|
margin: 0 auto;
|
|
position: relative;
|
|
}
|
|
.page-column-main { width: 930px; position: absolute;}
|
|
.page-column-detail { position: absolute; left: 1005.0px; }
|
|
.page-all-summaries { position: absolute; top:160px; left: -12px; width: 960px; }
|
|
|
|
.pos-feature-summary
|
|
{
|
|
width: 1056px;
|
|
height:162px;
|
|
position: relative;
|
|
}
|
|
|
|
.container-feature-summary
|
|
{
|
|
width: 1056px;
|
|
height:175px;
|
|
position: absolute;
|
|
}
|
|
.container-feature-summary-target
|
|
{
|
|
width: 1056px;
|
|
height:175px;
|
|
position: relative;
|
|
}
|
|
.container-feature-detail
|
|
{
|
|
height:900px;position:sticky;top:0;
|
|
transform: scale(1.0);transform-origin: 0 0;
|
|
}
|
|
.container-feature-detail-vertical
|
|
{
|
|
width: 900px;height:900px;position:absolute; top: 151px; left:93px
|
|
}
|
|
.container-feature-detail__offset
|
|
{
|
|
height:900px;position:absolute;top:0px;left:-17px
|
|
}
|
|
|
|
.color-source { color: #0088ed; }
|
|
.button-border-source { border:1px solid #0088ed; }
|
|
.color-source-target { color: #004bd1; }
|
|
.color-compare { color: #f77721; }
|
|
.button-border-compare { border:1px solid #f77721; }
|
|
.color-compare-target { color: #e54600; }
|
|
.color-normal { color: #58544f; }
|
|
.color-target-summary { color: #CFC8BC; }
|
|
.color-light { color: #837d76; }
|
|
.color-red { color: #ff0000; }
|
|
.dim { opacity: 0.5; }
|
|
.color-title-disabled { color: #e2e2e2; }
|
|
|
|
a { color: #58544f; }
|
|
.text-dataframe-title { font-family: RobotoBoldCond; font-size: 24px; }
|
|
.text-dataframe-title-small { font-family: RobotoBoldCond; font-size: 20px; }
|
|
.text-large-bold { font-family: RobotoBoldCond; font-size: 15.4px; }
|
|
.text-med-bold { font-family: RobotoBoldCond; font-size: 12px; }
|
|
.text-med { font-family: RobotoMed; font-size: 12px; }
|
|
.text-small-med { font-family: RobotoMed; font-size: 10px; }
|
|
.text-small-bold { font-family: RobotoBoldCond; font-size: 10px; }
|
|
.text-label { font-family: RobotoReg; font-size: 11px;}
|
|
.text-value { font-family: RobotoMed; font-size: 11px; }
|
|
.text-distinct { font-family: RobotoMed; font-size: 12px; font-weight: bold;}
|
|
.text-version { font-family: RobotoReg; font-size: 14px; font-weight: bold; }
|
|
.text-credits { font-family: RobotoReg; font-size: 9px;}
|
|
|
|
.pos-logo-group { position: absolute; top:0px; left:0px; width: 380px; height: 200px; text-align: center;}
|
|
.pos-logo { position: relative;
|
|
margin-left: auto;
|
|
margin-right: auto;
|
|
top: 32px; }
|
|
.pos-credits { position: relative; top:26px; text-align: center; }
|
|
|
|
.row-colored { background-color: #00000008; }
|
|
.row-missing { background-color: #00000008; text-indent: 4px; height: 16px; width: 250px; }
|
|
.assoc-row { height: 13px; line-height: 11px; text-indent: 4px; }
|
|
.assoc-row-target { height: 13px; line-height: 11px; text-indent: 4px; background-color: #221F1F; color: #c1b9af; }
|
|
.row-numeric-summary { height: 13px; line-height: 11px; width: 140px; }
|
|
.row-separator-bottom { border-bottom: 1px solid #00000018; }
|
|
.row-separator-top { border-top: 1px solid #00000018; }
|
|
.breakdown-row { height: 13px; line-height: 11px; text-indent: 4px; }
|
|
.breakdown-row-header { height: 26px; text-indent: 4px; }
|
|
.breakdown-row-header-2-lines { height: 30px; text-indent: 4px; }
|
|
.breakdown-hr { position:absolute; top: 13px; left: 10px; width: 592px; }
|
|
.breakdown-hr-2-lines { position:absolute; top: 20px; left: 10px; width: 592px; }
|
|
|
|
/* TAB ICON/NAME */
|
|
.text-title-tab { font-family: RobotoBoldCond; font-size: 15.4px; position: absolute; left: 74px; top: 24px; width:250px; }
|
|
.pos-tab-image { position: absolute; left: 45px; top: 21px; }
|
|
.pos-detail-tab-icon-text__offset { position: absolute; left: -4px; top: -4px; }
|
|
.pos-text-title-tab__no-icon { position: absolute; left: 37px; top: 17px; }
|
|
|
|
/*
|
|
DATAFRAME SUMMARY
|
|
------------------------------------*/
|
|
.pos-dataframe-summary-title-source { position: absolute; left: 0px; top: 12px; width: 250px; text-align: right; }
|
|
.pos-dataframe-summary-title-compare { position: absolute; left: 350px; top: 12px; width: 250px; text-align: left; }
|
|
.pos-dataframe-summary-title-compare-none { position: absolute; left: 350px; top: 16px; width: 250px; text-align: left; }
|
|
.pos-dataframe-summary { position: absolute; top: 9px; left: 380px; }
|
|
.pos-dataframe-summary-rows { position: absolute; top: 47px; left: 19px; }
|
|
.dataframe-summary-row { height: 13px; width: 563px; line-height: 12px; }
|
|
.pos-df-summary-source { position: absolute; left: 0px; width: 231px; text-align: right;}
|
|
.pos-df-summary-center { position: absolute; left: 231px; width: 100px; text-align: center;}
|
|
.pos-df-summary-compare { position: absolute; left: 331px; width: 200px; text-align: left;}
|
|
.size-df-summary-button { width: 156px; height: 35px; }
|
|
.pos-df-summary-button-assoc-source { position: absolute; top: 54px; left: 10px; }
|
|
.pos-df-summary-button-assoc-compare { position: absolute; top: 54px; left: 397px; }
|
|
|
|
/*
|
|
FEATURE SUMMARY
|
|
------------------------------------*/
|
|
.summary-number
|
|
{
|
|
position: absolute; top: 17px; left: 0px; width: 34px;
|
|
font-family: RobotoBoldCond; font-size: 26px;
|
|
color: #d9d9d9; text-align: right;
|
|
}
|
|
.summary-number-vertical
|
|
{
|
|
position: absolute; top: 25px; left: 6px; width: 34px;
|
|
font-family: RobotoBoldCond; font-size: 26px;
|
|
color: #d9d9d9; text-align: right;
|
|
text-orientation: mixed;
|
|
writing-mode: vertical-rl;
|
|
}
|
|
|
|
/* BASE STATS */
|
|
.pos-base-stats { position: absolute; top: 65px; left: 74px; }
|
|
.pos-base-stats-in-detail { position: absolute; top: 49px; left: 68px; }
|
|
.base-stats-row { height: 13px; width: 200px; }
|
|
.pos-base-stats__label { position: absolute; left: 0px; text-align: left;}
|
|
.pos-base-stats__source { position: absolute; left: 55px; width: 55px; text-align: right;}
|
|
.pos-base-stats__source-perc { position: absolute; left: 113px; width: 35px; text-align: right;}
|
|
.pos-base-stats__compare { position: absolute; left: 153px; width: 55px; text-align: right;}
|
|
.pos-base-stats__compare-perc { position: absolute; left: 211px; width: 35px; text-align: right;}
|
|
|
|
/* These are all NUMERICAL SUMMARY actually! */
|
|
.pos-summary-numeric-group1 { position: absolute; top: 67px; left: 372px; }
|
|
.pos-summary-numeric-group2 { position: absolute; top: 67px; left: 560px; }
|
|
.pos-summary-numeric-source { position: absolute; left: 40px; width: 50px; text-align: right;}
|
|
.pos-summary-numeric-compare { position: absolute; left: 90px; width: 50px; text-align: right;}
|
|
.pos-summary-numeric-source-wide { position: absolute; left: 40px; width: 64px; text-align: right;}
|
|
.pos-summary-numeric-compare-wide { position: absolute; left: 104px; width: 64px; text-align: right;}
|
|
.pos-detail-num__top { position: absolute; top: 63px; line-height: 13px; }
|
|
.pos-detail-num-col1__labels { left: 320px; text-align: left; }
|
|
.pos-detail-num-col1__source { right: 636px; text-align: right;}
|
|
.pos-detail-num-col1__compare { right: 581px; text-align: right; }
|
|
.pos-detail-num-col2__labels { left: 520px; text-align: left; }
|
|
.pos-detail-num-col2__source { right: 441px; text-align: right;}
|
|
.pos-detail-num-col2__compare { right: 386px; text-align: right; }
|
|
|
|
.pos-summary-text { position: absolute; left: 372px; top: 67px; }
|
|
.summary-text { overflow: hidden; text-overflow: ellipsis; position: absolute; height: 14px; white-space: nowrap; }
|
|
|
|
.pos-minigraph-cat { position: absolute; right: 40px; top: 62px; }
|
|
.pos-minigraph-numeric { position: absolute; right: 40px; top: 62px; }
|
|
|
|
.selector {}
|
|
.selector__body { z-index:10; position: absolute; left: 0px; top:40px; width: 1040px; height: 134px; }
|
|
.selector__bottom { z-index:10; position: absolute; left: 305px; top:174px; width: 735px; height: 22px; }
|
|
.selector__top { z-index:10; position: absolute; left: 0px; top:16px; width: 305px; height: 24px; }
|
|
|
|
/*
|
|
DETAILS
|
|
------------------------------------*/
|
|
.pos-detail-cat-graph { position: absolute; left: 45px; top: 120px; }
|
|
.pos-detail-cat-breakdown { position: absolute; left: 44px; overflow: hidden; }
|
|
.pos-detail-num-graph { position: absolute; left: 50px; top: 78px; }
|
|
.pos-detail-num-buttons { position: absolute; left: 400px; top: 46px; width: 212px; }
|
|
|
|
.pos-detail-assoc-graph { position: absolute; left: 28px; top: 84px; }
|
|
.pos-detail-assoc-desc-text { position: absolute; left: 37px; top: 41px; width: 800px; line-height: 11px;}
|
|
|
|
.pos-detail-text { position: absolute; left: 45px; top: 75px; }
|
|
|
|
/* DETAIL LISTS */
|
|
.container-detail-assoc { position: absolute; left: 40px; top: 27px; width: 215px;}
|
|
.pos-detail-num-most { position: absolute; left: 20px; top: 606px; }
|
|
.pos-detail-num-min { position: absolute; left: 313px; top: 606px; }
|
|
.pos-detail-num-max { position: absolute; left: 607px; top: 606px; }
|
|
.pos-detail-num-label { position: absolute; left: 0px; width: 56px; }
|
|
.pos-detail-num-source-pair { position: absolute; width: 84px; left: 53px;}
|
|
.pos-detail-num-compare-pair { position: absolute; width: 84px; left: 135px;}
|
|
.pos-detail-num-pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
|
|
.pos-detail-num-pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
|
|
|
|
/* Number, percentage pairs in CATEGORICAL breakdown */
|
|
.pair__col { position: absolute; width: 84px; }
|
|
.pair__header { position: absolute; width: 79px; text-align: center;}
|
|
.pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;}
|
|
.pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; }
|
|
|
|
/* DETAIL-ASSOC */
|
|
.pos-detail-cat-assoc-1 { position: absolute; left: 618px; top: 28px; width: 275px;}
|
|
.pos-detail-cat-assoc-CN { position: absolute; left: 618px; top: 565px; width: 275px;}
|
|
.pos-assoc-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 156px;}
|
|
.pos-assoc-row__source { position: absolute; left: 150px; text-align: right; width: 30px; }
|
|
.pos-assoc-row__compare { position: absolute; left: 120px; text-align: right; width: 30px; }
|
|
|
|
/* NUM-DETAIL COLS */
|
|
.pos-num-detail-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 62px;}
|
|
|
|
hr { background-color: #58544f; height: 1px; border-width: 0px; }
|
|
|
|
button
|
|
{
|
|
box-shadow:inset 0px 1px 0px 0px #ffffff;
|
|
background:linear-gradient(to bottom, #f9f9f9 5%, #e9e9e9 100%);
|
|
background-color:#f9f9f9;
|
|
border-radius:6px;
|
|
border:1px solid #dcdcdc;
|
|
display:inline-block;
|
|
cursor:pointer;
|
|
color:#666666;
|
|
font-family:Arial;
|
|
font-size:10px;
|
|
padding:3px 13px;
|
|
text-decoration:none;
|
|
text-shadow:0px 1px 0px #ffffff;
|
|
}
|
|
.button-assoc {
|
|
outline: none;
|
|
}
|
|
.button-assoc:hover {
|
|
border:2px solid #221f1f;
|
|
outline: none;
|
|
}
|
|
.button-assoc:focus {
|
|
outline: none;
|
|
}
|
|
.button-assoc-selected {
|
|
border:2px solid #ff0000;
|
|
}
|
|
.button-assoc-selected:hover {
|
|
border:2px solid #ff0000;
|
|
}
|
|
.button-assoc-selected:focus {
|
|
border:2px solid #ff0000;
|
|
outline: none;
|
|
}
|
|
</style>
|
|
|
|
<style>
|
|
|
|
span.minigraph-f3::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f3-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f4::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f4-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f4-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f4-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f4-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f5-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f5-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f5-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f5-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f6::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f6-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f6-5::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAF5hJREFUeJzt3Q+wZ2V93/HPBgyNI4goWg21SYzNCBkTZ1SapmJm/FN11JzRHttjmkCioNaYmEClTJmmnWQEJoPN1EoTSToopsf2zJiTSIH4r9KWmKSUZBAl6VBFulQh/BFIUWjIdh7yLHNn2V35c9m7d7+v18yP++/3+/G7D4d73/s8zzm7Y9euXQEAqOzbtvoFAABsNUEEAJQniACA8g7fyhGYxmFHkmclubv8fwkAOHQcmeT/zMu6bTYqb2kQ9RjaucWvAQDYfMcluSnbxFYH0d0bBs0sEQAcGrNDO7fb7/WtDqLd7p6X9a6tfhEAwGMzjUO2I5uqAYDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIACjv8AojsOO823dt5b9/1x0v3Mp/fXLul3Zs7QsAgIObGSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5R2+vxGYxuGtSX4hyVOSfCbJTyR5UpKLkpyY5Pokp87LetU0Dicl+WiSe5K8bl7W68qPLgCwvYNoGoenJvm1JO9M8okkv5vkjCTPTXJfkhOSvCfJh5Mc37/WPn52krdP43BmkvcnOW1e1l0H9tsCANicJbMdSe5PsjPJTUn+b5K/SPLSJBfPy3pjkguTPG8ah2P7c7X7fTXJYUnOTXKlGAIAtm0Qzct6a5Kzknw8yV1Jvr1HztOT3N3vdmd/24LogiRrkvOS/O8kx83L2pbWHmIahyOmcTgqyZGPy3cFALAZQTSNw3f2/UNtyeyHkzwhyc/t4+675mW9NMkxfSltTHL5NA43TONwSQugPe5/Vo+pNvsEAHDQLpm1CDpsXtYL2qbpJB9L8uokbebo6H6fNsvT3NL+MS/r/X2m6Owk70ryjv711+zx3OckeXKbRdr8bwkAYPOC6E+SfMc0Dm+axuG7k7wiyReTXJHk5Gkc2ubpdhbatfOy3tYeMI1D219087ysl/d9RF/vZ5219x80L+u987LetWHpDQDgoNxDdE2Sn05yfpJr+r6gNvNzen9ci6OXJDllw2Ou6DND6fuNLuuzQC2QAAC233WI2nJZXwLb08v285gHTrGfl/UjSdoNAOCg5krVAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMo7fH8jMI1DC6Z/muSnkvzJvKyvncbhuCQXJTkxyfVJTp2X9appHE5K8tEk9yR53bys15UfXQBg+wdRkvclGZP84yT/tX/u/CT3JTkhyXuSfDjJ8UnO6B8/O8nbp3E4M8n7k5w2L+uuA/C9AABs7pLZNA5PT/LOJO+Yl/W352W9vX/ppUkunpf1xiQXJnneNA7H9ue6KclXkxyW5NwkV4ohAGA7zxCd2MPmH0zj8IEk17blsSQtlO7u97mzv21BdEGSNcm9fRbpRfOyvntvTzyNwxFJ2u3Izf+WAAA2b1P1U5K0pa4rk7w+yTOS/PI+7rtrXtZLkxzTl9LaMtvl0zjcMI3DJT2ANjqrx9TOR/h6AQAOaBDdkuQb87JeMC/rH/UN089PcmuSo/t9jtpw38zLen+fKTo7ybvaclv/+mv2eO5zkjw5SdugDQBw0AbR59ry1zQO75rG4buSDEmuTnJFkpOncWibp9/altLmZb2tPWAah7a/6OZ5WS/vy21f72edtfcfNC/rvfOy3rVh6Q0A4OALonlZ25LWG5K8Lcnnk7ToOb3f2uO+mOQlSU7Z8Jgr+sxQ+qbqy/osUAskAIDtd9p9D5zv38uXXrafxzxwiv28rB9J0m4AAAc1V6oGAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyDn84IzCNw39MMs7LumMah+9P8htJjk/yx0lOmZf1f03j8KYkv5rkK0leNS/rzeVHFwA4NGaIpnF4fZI3bPhUi6HPJzkhya1J/k3//Nn9fr+f5M3TODxtGodfefxeOgDAAQiiaRyOSvKB3dEzjcNfS/LiFkXzst6Y5KIkJ214rjY7dEvywMzTB5P8zia9TgCALVsyOy/Jp5N8KsnPJnl6//zd/e2dSZ44jcMTk/yrJF9I0pbKLk7y5XlZP7O3J53G4Ygk7Xbk5n47AACbOEM0jcPfTTIk+fmH8Ty75mVtS2ltRumVSV6RZOc0DjdO4/Dv9nL/s3pM7XwUrxkA4IAtmbU9QU9N8qUkH+2fu76/Pbq/bQH05/OyfmPD4349yduSnNm6Ksnzp3F4wR7PfU6SJyc5bhO/FwCATQ+iU5L8rSQ/mORn+ufax1clOXUah7+R5OQkn93wmB9L8vF5Wa9ps0ZJ7kjyzSSHbXzieVnvnZf1rg1LbwAAB18Qzcv6tXlZb2i3vlE6/f239FPur0tybN9btPsxH0pyfv+wnWH2B0luT3L1gfhmAAAet+sQzct6SZId/f02+/Oi/dx3V3/bNmS3GwDAQc2VqgGA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLzD9zcC0zi8J8m7kxyZ5NNJTknypCQXJTkxyfVJTp2X9appHE5K8tEk9yR53bys15UfXQBgewfRNA6vSPJLSV6b5CtJLk/SAuk5Se5LckL/+MNJjk9yRv/42UnePo3DmUnen+S0eVl3HdhvCwBgc5bMWvScOS/rJ+Zl/dMkVyd5RpKXJrl4XtYbk1yY5HnTOBzbn+umJF9NcliSc5NcKYYAgG07QzQv6xVJruizRd+X5FVtKSzJTya5u9/tzv62BdEFSdYk9yY5P8mL5mVty20PMY3DEUmO6EtxAAAH96bqaRyemeTSJB+cl/Uz+7jbrnlZ232O6UtpY1tim8bhhmkcLukBtNFZPaZ2bs63AQDwOAXRNA4tcD6Z5HNJTu+fvjXJ0f39o/rbW9o/5mW9v88UnZ3kXUne0b/+mj2e+pwkT05y3GN47QAAj28QTePQzia7rO8JaktfR03jcHRfRjt5Goe2efqtSa6dl/W2/pi2v+jmeVkv7/uIvt7POmvvP2he1nvnZb1rw9IbAMBBOUP0xiQvTvLyJH+W5I5+O70/7otJXtJPxd+476jNDKVvqr6szwK1QAIA2Habqj+UpN325mX7edwDp9jPy/qRJO0GAHBQc6VqAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIACjv8PIjwLe047zbd23lMO2644XZcud+acdWvwQAHj9miACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvMPLjwAcADvOu33XVg70rjteuJX/+uTcL+3Y2hcAsH9miACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLxHfR2iaRz+fpLzkjw1yceTvC3JLyY5Lcl/aneZl3VLr70CAPC4zRBN49Ai6ENJzkny4iQ/nORdScb+8XOS/OA0DidN49ACCQDgkJshelGSw5L8RpsFmsbht5OclOSbSb6S5O4+c/TeJK/d5NcMFFP+St+Nq33DQRlET0/y5xuWxO5McmyS/9bf/0ySt7QltHlZb9nzwdM4HJGk3Y7snzpyGoc8Xg5/wQeyle75y63dqvWWcTjqsTy++vg1xtD4bfdjEA6gI7fjaO/YteuRb/OZxuEnkrxvXtan9Y//RZJXz8t64jQOT0jyxiQv67NIr2gzRfOy/tsNj2/3/4VN/l4AgIPHd8/LekMO8RmiW5McNY3Dt83L+pft/SS7Z4L+epLTk/x8i6bWP0mWJA8GUd979L5ekTuTHNeX2XhsjOfmMp7G82Dl2DSe2+H4vD3byKMNoj9M8hdJ3j6NwyeTvH5D8PzzvsG6ff2+JLe1maiND56X9d4k925YJrt7Xta7HtN3Qpt5M56byHhuLuNpLA9Wjs3HbTy3lUe1OWNe1jZDdEqSM5L89yS/tyGITpuX9feTXJ3k5h5P/3ofT9XC6F/2tzx2xnNzGU/jebBybBrPg9m92/F3+6PaQwQAcCjZ+tN3AAC265WqN+PK1vOy3rPh60cn+fV+VtrXkvzsvKyXH6jXt91M4/C7SV654VPnz8t6xoavt43qFyU5Mcn1SU6dl/WqrXm1B59pHNplIt6c5OQkPz4v6xce7phN49D2yL0nyXck+Ug7iWBe1vtT2D7Gs51Q8e833O223Wem7vHY9/bLdLQxfP+8rO2ki9KmcWjH17v75tRP9y0KT3J8bup4vtrx+YjH8Qn9hKh/1PcGt9/lpyZ52qHws/OAzBDt58rWG52V5HvaFa77wP7mNA5PPBCvb5t6ZpJ3JnlKv529x9fP75vaT0hyZZIPb9HrPOhM49B+KN6Y5B8mecGGTf/fcsymcTg+ya/0v6LmlT0AWuyXtZ/xfGYfx93H6Pfs5bGv7j8LXtd/yP7iNA7th2pZ0zi0PxT+Uv+l/cIkP9B/iTg+N3c8HZ+P3JuT/Fi/rM7fTvLy/rPwkDg2D9SS2cYrW//PJLuvbL3RS9vp+fOyfjnJBUmO6YPL3rX/mb88L+vX++2bexnPi+dlbb+oLkzyvP6neJJvJPmb/ZIQj3TM2nF7/bysl83L2k4c+OxejuVq9jWe7Ri9acMxurczSduY/968rH84L2u7oOvnjecDv1jOnJf1E/Oy/mk/QeUZjs9NH0/H5yM0L+uH5mU9pv/s+1of2/93qBybB2rJbF9Xtt7zPg9ci2he1jv7aXt+ge/FNA7f3pcef3kah7bM+Lm+BHnb3sazj/fu8fyzFDcva7skxC3TOHzXHl96OGO28T6771f6ON3PeD4ryQ9N47Czj+E/mZf1U3vcx3g+dDyvSHJF/3/9+5K8qs+g/aTjc1PHsy3TOj4fhWkcrklyfI+aX03ygUPhZ+dWbqp+OKe3OQVu3+Py022fVZI3JHl+knb1b+O5+Rynj96F/bhsSxbtUhz/ocf8Zoz5IW8ahzaDcWmSD/bZs71xfD768XR8Pnqv6ctebfnxpw6VY/NABdGDV7buH2+8svXG+xzdD9zdf2fPQ/4eNB7Qlh/XeVk/PS/rH7T3exTtdTz7eBvPh3ecfqsx23iffR3L/JW2PDHPy3pd2yzdl8G/03h+a9M4tLH6ZJ/9bVf+d3xu/ng6Ph/5OD6/7cmal3Vnj8r/3JfLDomfnQcqiDZe2fq5/crWn53Gof1i361Nab5pGofntPv1qbYvHKDXt918b9ubMY3Dj07j0Daq/r0k1+xlPE+exuHZSd6a5No9ltR4qH2O2Yax/S9tc/A0Dq+fxqGdAPAjfdqYh/qdJL82jcOz+mbMdhn/m/YYzzbmf2cah7Z08SM97EuP5zQO7Wyyy5J8tZ8Z1f4w2X6ROD43dzwdn4/cDyT5WDvxYRqHtsf3h/qerEPi2DwgQbSfK1v/1jQO7e88a97bT9f7o762++N72SjMX43ntUl+pq/b/nEft/ZXplzdL2+Q/qeg9t/3i0le0sef/dvrmE3jMCb5HxvG/uf68fupfvbkbxnYvWo/GJ/bj8+2KXCcl/W+aRzaOH+s3+fSfiX7dqLFnOSfzcv6wFgX9sZ+Nu7L+x8M7+g3x+fmjqfj85H7zfaHnCSX9MD5eP89dEgcm65UDQCkuv8PkTJlMLqiNlgAAAAASUVORK5CYII=);}
|
|
span.detail_graph-f6-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f6-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f7::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f7-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f8::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f8-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f10::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f10-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f11::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f11-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f12::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASIAAAB4CAYAAABW3P+TAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAC+dJREFUeJzt3XmMZUUVx/HvIIuyryKLG4IkrJIASjRoIusfaEUsYkEUIpthV1lCBERBkCCLsiibwaCUUERKjCD7IggoQRQQUZAlLLIvwyKotDnkNF56enpmevpNvTvz+yQv3X3fvf1O1+t3XlXdevdMGxkZQUSkpYWaPrqIiBKRiAyDhVs+eIphGrAqML1lHCLzmaWAx3KpvZl3aZqIPAk90jgGkfnR6sCj9ETrRDS902jqFYlMTW/okb69nlonolHTc6kvtg5CpO9SDPSRzpqJSHNKRCLS3LAMzXpj2nHPznAmYuS5jcff+bv/sLOCIjIL6hGJSHNKRCLSnBKRiDSnRCQizSkRiUhzSkQi0pwSkYg0p0QkIs0pEYlIc0pEItKcEpGINKdEJCLNKRGJSHNKRCLSnBKRiAzv9YhSDOcCO4/ZfD9wOHB+Z9szudQVUww7AD8CHgK2yaU+MbiwRWRB6RHtBSzXuV0H/AJYBbips30N3/8w4HPALcCOKQZLTifPo79DRObHHlEu9RXgFe8drQ98wntI+1qZklzq8+MkNesNPem/90zg1IH/BSKywFwq9kDg4lzqwykGq0W2WYrBSpY8BRyUS70KOAm4G7Ah2XnAA7nUa8b7ZSmGxYDFvPSJiCzgZjlZnWKwmmMJ+L5vOgs4EtjSh2EXpBgWzaWeAywNbOX3PZJisMT143F+7aHACyquKCKzlYiA/YE7cqk2L2TutZFbLvUe4BRgeWC1zv5nA3sCh3gC2yDFsNGY33kssIwXVhSRBdyEiSjFYD2cPTq9IXMJcIYP0XYEnu2Utt0J+FUu9c9W3AJ4DvgX8I7u782lvuYFFXtVjVJE2vSIrGfzMnBhZ9tuwFrAfYCVlYy51NftjlzqT4ATfD87Y3arJ6rbBxS/iMwHpo2MzFCma57xHpfNFS3Tl5LTqmsmwyz18DVltLJaRJpTIhKR5pSIRKQ5JSIRaU6JSESaUyISkeaUiESkOSUiEWlOiUhEmlMiEpHmlIhEpDklIhFpTolIRJpTIhKR5pSIRKQ5JSIRGe4qHimGy/1i+KPs6otWeNEulL+OXcsa2CWXer8KLIrIoHpEVkxx704xxcM8Cd0JrAs83aldpgKLIjKwRGT1yZ7vFFTc1JKR1Tjz3tHmExRYtAvti4hMbmhmtcqAFYDjUwxWIuhm4Ot+92j1Dbs27uIphsVVYFFEBtEjsqvq7+N1zaym/QZeWHHcfVVgUUQGkYisFlnNpV6dS7WyQBVYz+9b1r9axYCXcqmvdo5TgUURmbKzZmvapHSKIfjk9NbADX7f7ikGmw/aGbiuc8xbBRZTDBMWWAReS9F+tYgs6GbaI8ql3gXsB5zmp+mtoOIRwK5+6t5KTq/kQ7fRY1RgUUSmdh1RLtVq29uty3o5m0xwzJsVG3OpxwF2ExGZkFZWi0hzSkQi0pwSkYg0p0QkIs0pEYlIc0pEItKcEpGINKdEJCLNKRGJSHNKRCLSnBKRiDSnRCQizSkRiUhzSkQi0pwSkYg0p0QkIs0pEYnI0Fd6PRg4AFgKuNqqugLbAud3dnsml7qiKr2KyJT3iFIMWwJHe/LZGNgQONiLLt7Uqf66hh+iSq8iMuU9oteBQ3KpV9gPKYbbgZWBRYBHO5VfmaDS62g5ahGROU9EudTrges9Ca0NbANs51U8NksxPAI8BRyUS71KlV5FZGCT1SkGG4pdaj2cXOo1wFle8dWGbrcAF1h5alV6FZGBJKIUw/LAlWPq3t9rHaZc6j1easj2Wa1zmCq9isiUTVYvCVwGPO5nzpZOMVip6UuAM1IMqwI7As/anNHYSq/AhJVec6kvAtPnLFwRWdB6RNsDmwJb+FzQc37bDVjLK79azeiYS7WJbVV6FZEpn6y28tF2G89mExynSq8iMke0slpEmlMiEpHmlIhEpDklIhFpTolIRJpTIhKR5pSIRKQ5JSIRaU6JSESaUyISkeaUiESkOSUiEWlOiUhEmlMiEpHmlIhEpDklIhEZ7gKLE0kxfB44DljBLg8L7AkcBewB/Np2Gb1ImojIlPeIUgwr+NUbj/XLyX4c2NcuG+s/fwj4SIph8xSDJSYRkSkfmm3iF8Q/J5f6N+CXwOZ+ofyH/KL4lqy+B9RJPoaILCAmOzR7N/BSZ+j1ArAScKN/f40XYjwql2qVX98mxbAYYLelfNNSKdp1+IffwhudNsO2V94YP5/vGsPS9vWijU6zNpnBC89/csZjHlhvmdHvxztuvGO6xw36sWZ1zKAeS2bb6GuqV6aNjMz5NE6K4UvAibnUFf1nK7i4bS71oymGRbwCyKe912SFGI/Jpf6wc7zt/80p/ltE5P8+mEt9kPm8R/S01zlbKJf6hn3vNe/Ne7wY49csWVneAQrwViLyuaUTPXtb6erVe1DjrC+x9iXOPsXalzi7sVq9Qeb3RPR74D/AV1IMVgn2M51Ec4RPXNv9Vu/sGet5jS2wCLzWGY5N94KLQ6svsfYlzj7F2pc4TV+mOKZksjqXaj2iXYADgT8Av+skoj1yqbcAtwNPeNL6wUx+lSWkb/nXYdeXWPsSZ59i7UucfYt17uaIRESmklZWi0h/V1bPrhTDKsBjYzavn0u9K8Vgc0kHA+8CfmqT3LnU/6YY1rM1SsA6wB02DMyl3k8j460iz6W+0jCey4GtOptOAM4dr818qcQpgP0NNr9xZC713AHGZss4dgR2Br6YS717zP1z9JwPKv7ZiPNe4MOdTfvmUk9NMdg6A1vD8T7gtx7nUymGZYGz/SzxP4H9c6m/mds4TYrB2usAn4i+2h/z+WFr02HvEVkiesNfxMv57S8pBmuck/0jIVv5P4Q1DN54dwLr+hm6U2lkglXkLVmb7t1pz8MmaLMv29IKj/tw4MwUw3sHEVSKwV4oDwNfADYae5Jiks/5lMc/qzg7bbxdp43P9KUp9kK/CNjA/6e/7fsfCqxhnyjwN4WfpRgWn5s4TYrBEtvRPie7MbChJ52hatO+JKKnc6nPWhb32xu+Evu+XOpluVSb2L7OtqUY3ukveFu1/bA/qbZvKzNbRd6StekDo+3p22bWZvYOfmku9Z5c6nnAy8DHBhTXq8D7fcnGeCbznA8i/gnjTDEs4b2P+zv/s6/7R5fsFP4ZvkYnj4mz5FIfAE4HlvcEMLdeBw7JpV6RS7VemrXbykPYpsM9NANWtS5jiuGv/nin51JP9NXZ3TUZo6uzbTud+2z74vbu0mg4NLNV5E2kGBb1d+LjUww2FLjZ122N22Yev60rYdDx51JtycaTKYYPzGSXOX7OBxH/bMS56uiuKQZbtHu590DHi3OlsX9bLvUFP40+1+2cS70euN6f+7WBbbynNlRtOpSJKMVwuo+/8TVG1v27CtjMu4FvNuw4JjqFN0yn90YaP/Y+gL07vgTYO9qRE+w7J9tbmMxzPuj4n/Q5mVt93uVCm07wpSpzEsvIFM+1Xmqvn1yqfYSqb23aZGh2hI+V7XafzbHYZGAu9Wwfq27gX22Cb9To6mzbTue+pb1HYt3pFt5aRT4mzlZsmFhzqVfnUm/1DxXbpOTM2mxm7dzCZJ7zFvFbj+nnth4ul3otcG3nf3ZsnKOxvBVn8s8YTlWcKQYb5l05pvfbtzad9z0iX/D4ZkOkGI637mSK4bM+Zl7BJ9Dsk/p2FsJ6TDaG/RSwuw2/Ugy32fcphod88s3Gva1MtIq8hTWt/VIMwdtxa+AGv2+8NrPe5zf8DIq9mJbwBagt3DCJ57xF/BZXSTFs4cMWm9S16YS/+xngvVIMZ/hkdzfOHVIM2T9r+RTwtjNxk5FiWBK4DHjce2n2pkhnbrAvbdp8svo7Poz4k7+Av5pLvc1O39v3vu0qPzN1sR9jn9y3swH3+Nh1fxqZxSryFvFYu+3np5Dv8B7nERO02dnepbdTzcf4P6n9U88zKYYHUww7T/I5n2fxd+K0C/ud5L3NGz0RnJJL/TewE2Bvqnf557lsFTMemz0Xf/S/xZYE2Jvt3NreJ5238OT2nN360qazSyurZaBSDDaUtHfv7e3Mz7A2d1/ipGexzq7/AQ/24+LR3OxEAAAAAElFTkSuQmCC);}
|
|
span.detail_graph-f12-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f12-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f12-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f12-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f13::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f13-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f13-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f13-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f13-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f14::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f14-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f14-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f14-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f14-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f15-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAGe9JREFUeJzt3QuwbmV93/EfQkI0cvGC1oQYkzZJFWu1o1KbiplBjTpq10RXmmUukCheonjDiozWpGMqGgfjiFIjpoNiumxXp11Gg8QLlaRoYolaRTAdYpRArISLgEWx4uk85Dl05wSOetycs/f5fz4zm733e+N9n7P23t/9rGetfcCOHTsCAFDZnfb1EwAA2NcEEQBQniACAMo7aF+OwDQOByT5gSQ3lP+XAID9xyFJ/mpe1m2zUHmfBlGPocv38XMAADbfkUmuyDaxr4Pohg2DZpYIAPaP2aHLt9vP9X0dRDvdMC/r9fv6SQAA351pHLIdWVQNAJR3ywzRNA5HJHlakuOS/OK8rJ+ZxqHtxjorydFJLk1ywrysF/bbvzrJ05PcnOT0eVlPncbhzkl+P8lDk7xyXtY3lB9dAGBbuNM0Dm1f32VJfi7JQ5K0I7+a05J8PclRSS5I8o524TQOj09yYpInJfmFJK+axqFFU7v8K0kemeRl/bYvnsbhn+zTVwgA8G3sMvtqkh9u/bLLdY9Kcva8rC2Wzkxy/z6T1C7/yLysH5uX9bwkn05yTH+sa5J8IcmOaRweluSnk3ziWz0JAIB96aB5Wb+R5MppHO63y3X32rBC/Lr+/ohdLt95Xbv8LUle3h4ryW8leVOSp97WOQimcTg4SXtrs1MAANtqUfXtnWBpx7ys7Uixtsvt+5McnmRO8rvTOPyvaRwescvtT+kh5RxEAMCWDqKretg0h/b3V+5y+c7r2uU7Pa5f1tYiXZLkN3euKdrg1CSH9fMPAQBs2SA6vx11No3DfZM8I8lF87Je3S//Z23WZxqHn0ryoCQfbneYxqEdtfaiJL+a5MAkNya5tn98q3lZb+rnHdpWJ20CAOoF0Un9+ov7kWPH98vPSfLGJO/uu8VePi/rn7Yr+nqkY+dlvbZf9+i+tqjdHgBgSzpgx45993fXpnE4tK8lOsyZqgFg+5u26c92Z6oGAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAor/11evZ3L/vRPf+Dda/53AGb+lwAYAsyQwQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJTnTNXbyAGvvWaPzji956epBoAazBABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKO2h3IzCNwzOS/FqSuyU5L8kvJblrkrOSHJ3k0iQnzMt64TQOxyR5V5IbkzxpXtZLyo8uALC9g2gah3sk+e0kz03y/iR/kOQlSX4sydeTHJXkpUnekeQB/br2+X2TPHsah5OTnJ7kmfOy7ti7LwsAYHN2mR2Q5OYklye5Isn/SfKNJI9Kcva8rJclOTPJ/adxOKI/VrvdF5McmOQ1SS4QQwDAtg2ieVmvSnJKkvckuT7J9/bIuVeSG/rNruvvWxCdkWRN8tokf5nkyHlZ2661v2Mah4OncTg0ySF3yKsCANiMIJrG4Qf7+qG2y+wnk3xPkhfdzs13zMt6TpK7911pY5Jzp3H4/DQO720BtMvtT+kx1WafAAC27C6zFkEHzst6Rls0neS/JHl8kjZzdHi/TZvlaa5s/5mX9eY+U/SKJCcmeU6//gm7PPapSQ5rs0ib/5IAADYviD6b5M7TOPzsNA4/kuQxSS5Ocn6S46ZxaIun21FoF83LenW7wzQObX3Rl+ZlPbevI/pyP+qsfXyreVlvmpf1+g273gAAtuQaok8leV6S05J8qq8LajM/J/X7tTh6ZJLjN9zn/D4zlL7e6H19FqgFEgDA9jsPUdtd1neB7erY3dznlkPs52V9Z5L2BgCwpTlTNQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5B+1uBKZxaMH0siS/kuSz87I+cRqHI5OcleToJJcmOWFe1guncTgmybuS3JjkSfOyXlJ+dAGA7R9ESV6fZEzyq0n+qF92WpKvJzkqyUuTvCPJA5K8pH9+3yTPnsbh5CSnJ3nmvKw79sJrAQDY3F1m0zjcK8lzkzxnXtZ3z8t6Tb/qUUnOnpf1siRnJrn/NA5H9Me6IskXkxyY5DVJLhBDAMB2niE6uofNv5zG4c1JLmq7x5K0ULqh3+a6/r4F0RlJ1iQ39Vmkh83L+sLbeuBpHA5O0t4O2fyXBACweYuq75ak7eq6IMmTk9w7yetu57Y75mU9J8nd+660tpvt3GkcPj+Nw3t7AG10So+py7/D5wsAsFeD6MokX52X9Yx5WT/RF0w/KMlVSQ7vtzl0w20zL+vNfaboFUlObLvb+vVP2OWxT01yWJK2QBsAYMsG0Ufb7q9pHE6cxuF+SYYkH09yfpLjpnFoi6ef0Xalzct6dbvDNA5tfdGX5mU9t+9u+3I/6qx9fKt5WW+al/X6DbveAAC2XhDNy9p2af1Mkmcl+XSSFj0n9bd2v4uTPDLJ8Rvuc36fGUpfVP2+PgvUAgkAYPsddt8D54G3cdWxu7nPLYfYz8v6ziTtDQBgS3OmagCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyDvp2RmAah/+UZJyX9YBpHB6Y5HeSPCDJJ5McPy/rn0/j8LNJ3pLkC0keNy/rl8qPLgCwf8wQTePw5CQ/s+GiFkOfTnJUkquSvKlf/op+uz9O8rRpHO45jcMb7rinDgCwF4JoGodDk7x5Z/RM4/B9SR7eomhe1suSnJXkmA2P1WaHrkxumXl6a5Lf26TnCQCwz3aZvTbJh5J8MMkLktyrX35Df39dkrtM43CXJL+V5DNJ2q6ys5P8xbys593Wg07jcHCS9nbI5r4cAIBNnCGaxuGfJxmSvPjbeJwd87K2XWltRumxSR6T5PJpHC6bxuHf38btT+kxdfkePGcAgL22y6ytCbpHks8leVe/7NL+/vD+vgXQV+Zl/eqG+70tybOSnNy6KsmDpnF4yC6PfWqSw5IcuYmvBQBg04Po+CQ/nuTBSZ7fL2ufX5jkhGkcfijJcUk+vOE+P5/kPfOyfqrNGiW5NsnXkhy48YHnZb1pXtbrN+x6AwDYekE0L+v/npf18+2tL5RO//jp/ZD7S5Ic0dcW7bzP25Oc1j9tR5j9SZJrknx8b7wYAIA77DxE87K+N8kB/eM2+/Ow3dx2R3/fFmS3NwCALc2ZqgGA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHkH7W4EpnF4aZIXJjkkyYeSHJ/krknOSnJ0kkuTnDAv64XTOByT5F1JbkzypHlZLyk/ugDA9g6iaRwek+Q3kjwxyReSnJukBdLfT/L1JEf1z9+R5AFJXtI/v2+SZ0/jcHKS05M8c17WHXv3ZQEAbM4usxY9J8/L+v55Wf8syceT3DvJo5KcPS/rZUnOTHL/aRyO6I91RZIvJjkwyWuSXCCGAIBtO0M0L+v5Sc7vs0U/keRxbVdYkl9OckO/2XX9fQuiM5KsSW5KclqSh83L2na3/R3TOByc5OC+Kw4AYGsvqp7G4T5Jzkny1nlZz7udm+2Yl7Xd5u59V9rYdrFN4/D5aRze2wNoo1N6TF2+OS8DAOAOCqJpHFrgfCDJR5Oc1C++Ksnh/eND+/sr23/mZb25zxS9IsmJSZ7Tr3/CLg99apLDkhz5XTx3AIA7NoimcWhHk72vrwlqu74Oncbh8L4b7bhpHNri6WckuWhe1qv7fdr6oi/Ny3puX0f05X7UWfv4VvOy3jQv6/Ubdr0BAGzJGaKnJHl4kkcn+esk1/a3k/r9Lk7yyH4o/sZ1R21mKH1R9fv6LFALJACAbbeo+u1J2tttOXY397vlEPt5Wd+ZpL0BAGxpzlQNAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlHVR+BNhjB7z2mh17cr8d1z50z/6Hr/ncAXt2RwDYPTNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5e3x3zKbxuGpSV6b5B5J3pPkWUleleSZSX6/3WRe1j36W1cAAFs+iKZxaBH09iQvSPKHSc5NcmKSMcnDk7wjyYOncTgkyT+cl/Wtm//UgQp/DLjZcfLd/WFfYEvOED0syYFJfqfNAk3j8O4kxyT5WpIvJLmhzxy9OskTN/k5A3dwhFQIEGMDbEYQ3SvJVzbsErsuyRFJ/nv/+LwkT2+70OZlvXLXO0/jcHCS9tZmkJpDpnHYw6dSx0EPefMe3e/Gb+75UrGnj8OhW+X57O65bCX/+SFvbl8D37GnfuK5h232c9nTf6PpDhjrPX0uW+353BHPZSttM7AJdv5s31YO2LHjO/8FchqHX0ry+nlZ79k///Ukj5+X9ehpHL4nyVOSHNtnkR7TZormZf13G+7fbv9rm/xaAICt40fmZf189vMZoquSHDqNw53mZf1m+zjJzpmgv5fkpCQvbtHU+ifJkuTWIEpyar+uVeTlSY7su9n424zP7hkf47OnbDvG57th+/n2xueabCN7GkQfS/KNJM+exuEDSZ68IXhe2RdYt+u/nuTqNhO18c7zst6U5KYNu8lumJf1+u/qleyHjI/xsf342vK9Z+vxvXn3tusSmD1azDEva5shOj7JS5L8jyQf2RBEz5yX9Y+TfDzJl3o8vfF2HqqF0b/p7zE+3ynbj/HZU7Yd4/PdsP3sh+OzR2uIAAD2J85UDQCUt8dnqt4T0zjcJ8lf7XLxP5qX9aJpHNq6o5cmuXOSd7aF2fOy3lz1X+i2zgQ+L+uNKWwahz9I8tgNF52W5Kx2PqwkD0jyybYrd17WP08R0zi00108LclxSX5xXtbPTONwZB+Xo5NcmuSEeVkv7Ld/dT8lRvvaOn1e1naAQ7XxaQd6/IcNN7u6HTHbTwdyejuaPUlb0/jr87K2cdwvTePQvt++sC+A/VBfBnFX285ux+fxtp2kH03eDoz6hb5GuP2MOiHJPbfz9569PUPUguib/Yf83frbxdM4tB9mb+h/9uOx/ZtX+6ZU0oYzgZ/az/z9k32henVt+3nuhm3nFT2GPp3kqH7045tSRD8T/GVJfi7JQzYcvHBaP6ChjckF/czx7faP79vRk/o3sldN49C+cVUbn/v0cdm5Hf1ov/xX+g+89vX2r5O8dRqHH8p+aBqHdjqU3+g/5B+a5B/3X0htO7sfn/LbTtd+yfj5fnqdf5rk0f3n97befvbqDFHfmK6al/VvHYo3jUM7y/Wl87K+r3/+4X7m6/+Ymm7vTOBtxqiytv38xbysX26fTOPwfT0YXzgv62XTOJy1y2/++7uvJvnhJHdp47Lh8kcleVEfkzNbRPaZknb5R+Zl/Vgfv0/37epPUmt82nZ0xc7taIM2PufMy3pJkkumcXhj/2b/l9n/tB9aJ8/L+v72yTQO7SCYe9t2vuX4tJmR6ttO5mVtv7C/vY/N4X28/u923372dhD9QNslNo3DZ/v/+4x5WV/fz3y98TxEO898XdXtnQm8rGkcvrfPLL5uGoe3JfloP99VNmw7bZzuMo3DXSrsXpyXtZ3a4sppHO63y1Ubv552ngH5iGpfZ7sZn/Z96BHTOLTzpPx1kn81L+sH+/i0y/b78ZmX9fwk5/evrZ9I8rj+2/sv23Z2Oz5Pr77tbDSNw6f6coU2ifGWJG/ezt977vAgmsbhjD69ln6+ojYV3TagR/Qp6Vs2utvg8Dfjsev28Lwkf9ZiMcnZbY2HbefbdntfTxW/zs7sa0JaVD+/zUT39Y3lxqe/7nPa9+J5Wc+7nfPHlN12bmN82pIP287/94QkP9735rRdztt6+9kba4jaiRof3N/aIqu3t4WN87K+ra/5eFB/36bddtp45uuKbj0TeP+8+nik70Jc52X90LysbZp1TfLAft3hG8apzay1XSWVbfx62vl3t9r24+vsb7SonvvujbaI+u5JfrDa+Ezj0F73B3aZbbXt7H58bDu5ZWwe1NZZzct6eQvFJP+t7xbb1tvPHT5D1E/ieFUfxNe1qcdpHP5FX3TVdoG0fYlfa4thp3F4cl8E+VN9xXpVuzsTeFX/oG0r0zgMfZv56SR/2K87YRqHL/TF+G3qtro263rcNA5tfJ6R5KJ5Wa/us7HPm8ahzc4e3H8Zqfh19nt9ncfL+ux1W9N4RR+3l0/j8MA+Nt/fTzq735nGoR1N1tZsfrEfSdV+AWtX2XZ2Pz7lt52uLTI/YxqHR/cZ+0f0BdV33s7fe/b2UWb/thf2/+w/4NviqwvbYfft437ZB/tirf+aor7FmcBL6tvI8/s+6k/22cZX9n36bR/2JX2f9Av29XPdAk7qX9sXJ3lk35bSp/7bYs+2SH9uP/znZf3T1NO+Uf9Y34baT7lxXta2KPRtfYz+qP1B6n7IcPuBuD96Sj8g4dF9Lcy1/c22s/vxse38jd9N8ttJ3tt/MX1P/968rbcfZ6oGAFLd/wPDUAW/AMldNQAAAABJRU5ErkJggg==);}
|
|
span.detail_graph-f15-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f15-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f15-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f16::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f16-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f17::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f17-0::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAHhxJREFUeJzt3Q20LWdd3/HfNZFoSl4MgrxEoaGWAoXCKi+11rCWCAKKHcFBJxXDayCFYDSYl9WIuFRyUw1VI1ECyutiqLOWHRWSCJLVIAgipZS3SMWQhERMICEvSLhpwu2a2+eyjtebG5pzbs49+//5rLVzz9777JOZ2eflu595Zva2nTt3BgCgsm/a7AUAANhsgggAKE8QAQDlHbyZW2Dou21J7p/k5vLPBACsjsOS/O04zVtmovKmBlGLoas2eRkAgI13dJKrs0VsdhDdvGajGSUCgNUYHbpqq/1d3+wg2u3mcZpv2uyFAADWZ+i7bEUmVQMA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQ3sHltwAHrtOP2bmux2+/bNuGLQsAK80IEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8h92z32w7+/p1HTa/vmPuAeAbZ4QIAChvnyNEQ9+dmuTkJIcleU+S5yS5Z5I3Jnl8ks8keeE4zR8e+u7YJG9P8pUkTx+n+dLyWxcA2NpBNPTdk5L8cpIfTnJFkouSLIH04CS3Jnl4u/7mJA9L8vJ2/buSvHjou9OSnJvkhHGa7f0AALbkLrMlek4bp/ld4zR/OslHknxHkickecs4zVcmeV2Shw59d+/2ta5O8vkkBy1vnJDk/WIIANiyI0TjNF+S5JI2WvSQJE9ZdoUleW6Sm9un3dj+XYLovCRzkh1Jzkny2HGal91t/8jQd4ckOaTtigMAOLAnVQ99d78kFyQ5f5zmi+/g03aO07x8zlFtV1q/7GIb+u7yoe/e0QJorTNaTF21MasBALCfgmjouyVw3p3kA0lOaTd/McmR7ePD27/XLv8Zp/n2NlJ0ZpKTkpzY7n/aHl/6rCRHJDl6HcsOALB/g2jou+VosgvbnKBl19fhQ98d2XajHT/03TJ5+gVJPjFO83XtMcv8omvGab6ozSO6oR11tnz8deM07xin+aY1u94AAA7Iw+6fmeRx7eMvrLn9gUnekORTSf66HYr/9XlHQ9+9t13d3oJq+bwlkGC1nH7M+o+e3H7Ztg1ZFgD226TqNyVZLnvzxH08btcfiXGa35pkuQAAHNCcqRoAKE8QAQDlCSIAoDxBBACUJ4gAgPL2+W73sMq2nX39ug6b947FAKvDCBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHkHl98CsMpOP2bnuh6//bJtG7YsAAcwI0QAQHmCCAAoTxABAOUJIgCgPEEEAJTnKDM4gG07+/p1HSW2vkPMAOowQgQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8u70rTuGvrt3kuOSHJ/k2eM0f3Lou4ck+b0kj05yeZKXjdP8p0PfHZvk7Um+kuTp4zRfWn4LAwBbO4iGvjssyZVJPtriZ1u76+wWPd+d5OeSvDHJ0UlenuTUJN+V5MVD352W5NwkJ4zT7G2VAIAtOUJ0S5IHJjk0yWfX3P61JF9K8rdJ/i7JbWt2wV2d5JuT3D/J9iTvF0MAwJYNonGal9C5dui7B+1x188m+VgLpnskeWK7/bwkc5IdSc5J8thxmk/e8+sOfXdIkuWyjEABAGzJSdWvTvK+JI9J8jtJXjP03TeN03xBkqOSPDxJn+Sioe8uH/ruHS2CdjsjyY1Jrtqg9QAAuNuD6ClJ3jBO8yfaHKGHJtk1ijRO8+1tpOjMJCclObE95mlrHn9WkiPavCMAgC0ZRJ9K8mND3z1g2QOW5KY2d2jZHfaEJNeM03xRkoOS3NAmYC8f7zJO845xmpfH3LxhawIAcDcH0XOTfGeSv17CKMmzlshZ7hin+ZI2MpQ2qfrCNhK0BBIAwNY7D9FinObL1xxyv1z/eJJ/u4/P33WI/TjNb02yXAAADljOVA0AlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKO7j8Fqjq9GN2ruvx2y/btmHLAgCbzAgRAFCeIAIAyhNEAEB5gggAKM+k6i1q29nXr2tS9PpmVAPAajFCBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvIPvbAsMfXfvJMclOT7Js8dp/uTQd0OSt635tOvGaf72oe+eleR3klyR5CnjNF9TfgsDAFt7hGjou8OSXJnkJ5I8Osm2dtf9krw/ybe1yzHt9jOTPCPJB5eIGvpuiaRf3/+rAQCw/0aIbknywCSHJvnsmtuXILp6nOYb9hJYy+jQte1rn5/kt9axfAAAmxtE4zTftsTN0HcP2uOu+yf5nqHvrkryhSQ/N07znyb5L0k+mWTZVfaWJaLGab54z6879N0hSZbLMgIFALAlJ1W/Lskrkzyp7R77r0Pf3WOc5t9NcniSJ7f7rhr67sqh735vj8efkeTG5f4NWAcAgE0Jok8vA0jjNF+a5NwkRyV5wJr7X5/kRUlOWwaEkjxy6LtlDtJuZyU5IsnR61t8AIDNC6I/SvLaoe/u345Au36ZU9Tu+w9J/nic5o8l2ZnkS0m+muSg3Q8ep3nHOM03Jbl5A9YBAGBTgugFSb47yWeSdEn6cZpvXe4Yp/lNSc5pn7ccYfYXLZg+sr5FBQDYpPMQLcZpvnzNIffL9f+1TKrex+fvbP+enWS5AAAcsJypGgAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUdfGdbYOi7eyc5LsnxSZ49TvMnh757TJLfTvKIJH+T5GXjNL9n6Ltjk7w9yVeSPH2c5kvLb2EAYGuPEA19d1iSK5P8RJJHJ9k29N3ymD9I8qEkD07y3iRvaQ95eZJTk/xekhcPffctQ9+9bui7bXfP6gAAbPwus1uSPHBpozW3HZrkbUnOGqf56iQXJLnX0HcHta+33Pb5JMv17UneP07zzruwbAAAm7/LbJzm25JcO/Tdg9bc9uUkpy8ft9Gik5bdZOM03z703XlJ5iQ7kpyT5LHjNJ+859cd+u6QJMtlGYECANjSk6pfk+SYJD+7XBmneRktOirJw5P0SS4a+u7yoe/e0SJotzOS3JjkqnX+/wEANi+Ihr47K8mPJHnyOM3X7b59GSlKsowUndlGj05sdz1tzcOXxx6R5Oh1LT0AwGYF0dB3p7bQeWaS64e+O3Lou3u0+56Q5Jpxmi9q84huaEedLR/vMk7zjnGab0py80asBADAZowQnd1GeD6Q5EvtclyLnUvayFDapOoL20jQEkgAAFvvPESLcZovXw65X3N9n4fR7z6qbJzmtyZZLgAAByxnqgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPK+ofMQAewXpx+z65xl67L9sn2eFw3gG2GECAAoTxABAOXZZQbcZdvOvn5du7zWv78MYGMYIQIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUN7Bd7YFhr67d5Ljkhyf5NnjNH9y6Lujk7wxyeOTfCbJC8dp/vDQd8cmeXuSryR5+jjNl5bfwgDA1g6ioe8OS3Jlko8meXSSbe2uc5LcmuThSU5N8uYkD0vy8nb9u5K8eOi705Kcm+SEcZp33j2rBACwsbvMbknywKWN9rj9CUneMk7zEkuvS/LQNpK0fL2rk3w+yUFJtid5vxgCALbsCNE4zbcluXbouwftcdd9ktzcPr6x/bsE0XlJ5iQ72ijSY8dpPnnPrzv03SFJlssyAgUAsDKTqneO03xBkqParrQ+yUVD310+9N07WgTtdkYLqas28P8PAHC3BtEXkxzZPj68/Xvt8p9xmm9vI0VnJjkpyYnt/qetefxZSY5IskzOBgDYkkF0yXLU2dB3y+TpFyT5xDjN1y13DH23zC+6Zpzmi9o8ohvaUWfLx7uM07xjnOab1ux2AwDYckF0Snvsp5J8X5Ln7L5jnOZL2shQ2qTqC9tI0BJIAABb7zxEi3GaL19zyH3a0WVP3Mfn7zrEfpzmtyZZLgAAByxnqgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5B9/VLTD03QuS/EKSb0tycZKfSvLzSU5I8s7lU8Zp3ll+CwMAqzlCNPTdvZK8NsmvJHlkkocmeVWSPsnjkjw4yaOGvjt26LslkAAAVm6X2bYktye5KsnVSf4+ydeSfDXJFUluTrJE068lmTd4mQEANj+Ixmn+YpIzkvxxkpuS3CPJy5O8L8mNSf5Pkucn+aVxmq/d8/FD3x0y9N3hSQ7bkLUAANiEXWYPaPOHXpLke5N8c5KfGaf5eUkOTfKGJF9O8qND331u6LsT9/gSZ7RwWkaYAAC25C6zJYIOGqf5vHGaP5zkD5I8td133ySnJHlzkkcs/ZTkFXs8/qwkRyQ5ep3LDwCwaUeZ/VWSbx367llJ/jLJk5J8qN23xM9JSW5LcmuS69qco68bp3lHkh1D361/DQAANmkO0ceSvDTJOUmWjz+X5Mx29wnjNH8wyUeSXNNC6TfXu6AAAAfceYiW3WVJztvL7bvOPTRO83LU2TPWu4AAAPubM1UDAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIOLr8FAPbl9GN2rmsDbb9smw0MBz4jRABAeUaIgJW27ezr1zXCs77hIWCrMEIEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQ3l1+L7Oh7/4kyZPX3PTqJA9I8kNJzh+n+ZSq73202HnaUd7hGgAKvLnr/ZK8JMnb2vWHJfmNJI9L8idD3/1Kkh9MctM4ze/coOUFADjgguiz4zTfsFwZ+u7WJDcnuSLJV5Mck+RlSb5/4xYXAOAACaKh7+6R5F5JfnXou9cn+UCSFyW5bRkRSvLWJNuTvHSc5lv28vhDkiyXwzZkLQAANmFS9TLH5qVJfjrJM5I8Mskrx2le5hR9a5JPJ/nz5bah7y4f+q7b4/FnJLkxyVXrWXgAgM0MooOSzOM0v2ec5r9YPm5RtHhEm2z9sXb9Pyb5xT0ef1aSI5IcvY5lBwDY1DlE/yzJx9vIz8fb5On3tvtemeR5Sf51m0t0XQuorxuneUeSHUO/58ARAMAWGSEap/kTbcL0a5J8NMlnkryi3f3vx2n+bJILk9w3ybuWuUYbu9gAAAfAUWbjNJ+b5Ny93L7rHD7jNP99ku9b7wICAOxvzlQNAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo7+DyW2B/Of2Ynet6/PbLtm3YsgAA+2SECAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvIPvyhYY+u7UJCcnOSzJe5I8J8nPJzkhyTuXTxmneWf5rQtwdzj9mPX9vt1+2bYNWxaoEkRD3z0pyS8n+eEkVyS5KMmr2vXHJXlzkkcNfbfE0r8Yp/n8/bPoAFvftrOvX/eLR68+YXNGiG5Ncto4ze9argx995EkhyT5agukm5Pca00kAQCsVhCN03xJkktaDD0kyVOSPH15oZPkxiQXJ3l+kl8ap/navX2Noe+WgFouyygSAMDWnFQ99N39klyQ5Pxxmi8ep/l5SQ5N8oYkX07yo0PffW7ouxP38vAzWjxdtb7FBwDYpCAa+u6oJO9O8oEkp6y5677t+jKP6BHLpyZ5xV6+xFlJjkhy9F1fdACATQqioe/umeTCJJ9vR5odPvTdke3uJX5OSnJLm2t0XduV9g+M07xjnOab2nwjAIAtN0L0zHY02Q8k+UKSL7XL4oRxmj+YZJlofU2SDyX5zQ1eZgCATZ9U/aYkb7qD+3Yd/TlO89eSPGMjFhAAYH9zpmoAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJR3cPktAMA+bTv7+p3r2UQ7v/SY9W3h7ZdtW98XgDtnhAgAKE8QAQDlCSIAoDxBBACUZ1I1AKUnfS9M/MYIEQBQniACAMq7y7vMhr77sSRnJ7lXkj9O8qIkv5TkhCTvXD5lnOZ1D2MCAByQI0RD3y0R9KYkZyV5XJLvTXJSkr5df3CSRw19d+zQd0sgAQCs3C6zxyY5KMnvjtP8v5P8YZJjk3w1yRVJbm4jR7+WZN7gZQYAOCB2md0nyZfX7BK7Mcm9k7yvfXxxkucvu9DGab52zwcPfXdIkuVyWLvpsKHvcqA4+NGvWffX+MrX1jc96/l9d/j+XMb9vXxbYRk3e/m2wjIe6Mu3FZZxfy/fVljGA3357q7fiYUcli1o286d///TfIa++6kkrx6n+dvb9Vcmeeo4zY8f+u6bkzwzyRPbKNKTkrxqnObfXvP45fN/YYPXBQA4cPzTcZovz4qPEH0xyeFD333TOM1fWz5Osnsk6L5JTknys0s0Lf2TZEry9SBqc49e3SryqiRHt91slVh3z7vv+Rr8rPtZr/qzfn22kLsaRB9KcluSFw999+4kP7ImeF7RJlgv99+a5LplJGrtg8dp3pFkx5rdZDeP03xTCrHuu3jeC6n6PV91vRfWPdWf9y3lLu00Had5GSF6TpKXJ/nLJH++JohOGKf5g0k+kuSaFk+/eQdfagmjX2z/VmPdPe/VVP2er7reC+vueV/tOUQAAKvEmaoBgPLu1jd3HfpuOTT//CQ/mORLSf7zOM2/cUdnvh6n+Sur+AxVWtfF0HenJjm5TbR7T9vdes8kb0zy+CSfSfLCcZo/nBU19N3vLycuHad529B3/3I5h1eShyX56LI9xmn+m6yY5aCLJKcneV6Svxqn+YeHvju6wvM+9N0L2pG039ZOQ/JTq/w93363H5fk+CTPHqf5k/t6roe+e1U7NcvtSc4dp3k50GaV1v0xbRrJI5IsP9svG6f5Pau07sNe1nvNfU9r71jx3HGa39hOtXNukuVv3zKf6pXL7Sk+QvTr7Si0hyc5Y7k+9N1D9nHm65VTaV0XQ98tp1345RZByy+Jf5VkCaRz2qT75Xvh/UnenBU19N1y0MEz1ty0xNDH27ov8/F+K6tpOZL0Je2o0yUIUuF5bz/jr03yK0kemeShbb7lSq770HfLC50rk/xEkkevOYhmr+s79N1T2++8pyf5yeV8dUPfLdG0EuveXgj8QZs/u7xrw3uTvGWV1n244+d8ue+eLQaXI9B3W14UPbX9vfv5ZWBk6LvvTPEg+h9JThun+bNJ/tuakzze0ZmvV1GldU37hbg85+8ap/nTbbL9dyR5wvJLYpzm5YfqdcsfjfaKY6UM/+9kba/ZHT1D331LC+Hfbev+xlV8/oe+u0+LoRPHaf7DcZp3H35b4Xnf1l79L4cdX53k79tRt6u67rckeWA7xcpad7S+y+1/Pk7zh8Zpvri9ODh2hdb90CRvW170jtO8PP8XLHsDhr47aIXW/ZY7eM7TXuz/WdsLtNuy3heM03zpOM1vaT8T/yaVd5mN07y8Ytzt5DaU+IE27La3M1+vojs6y/dKGqf5kiSXtD+SD0nylPbq6Llrzj21bIO07fCFrJZl1+gyVP6nSX66Pf/ZY90PHfru0BXbbbq86l3+APz40HdLEH5i2WXS1n+ln/flKNyh785ou8Nvbb/ntrdTkqzcuo/TvMTetUPfPWiPu+7ouV57+5b+Hbi3dR+n+cttV/Hu3cbLiNDbx2m+vb1Q2PLrPt7Bcz703RI5z2qjgn+15q77tBcIB/R67/cRoqHvzhv67oZ2+XfttqF9w/xk27B7U+nwt5Vf16Hv7tdeKZ3fXhmt/HZo3+9dO0npnVmpdW9zZ3a2XSU/0kYFf7XCug9994A2f+glbRfBcvb+n6mw7t+AncW2w/Ji4Jg7+R2wEus+9N09krx+2UXeTs1zZ3ZW3GW2vCp6VLt8eOi7H2ob7cfb+Yr+wZmv2/W1Z75eNZXWdZeh745K8u42GrjMJ9m9HY5sH+9+D6BV2w5ntonzly2vENtty+TS7LHuy4jhMgS9Spbn8pZxms8bp/l/tvV/ZJHnfYmgg9q6f7jNJ3lqkXVf647Wd+3tu+9bue0w9N1Z7cXAk8dpXk5QnBVf92e0kaHfWgZAkiy/95cBkeO2ynrv911mrRR31eLQd8t+xN9vr5beN/TdkW1IeV9nvl41ldZ19wS7C5N8vu0mXWIwbTfa8UPfLRMOlyNyPrHml8aqWCaSL3OGFt/fJlP/8/ZWNi8c+u6KdoTGf8/q+UA7G/1JbddR1+aPfUuB533ZVfCtQ989q5249knt5/6aAuu+1l5/xoe+W25/6dB339Pe5PuRbXfqqh1Ze2KbInB9+1u37BJf5XV/x/LeZWuuLz/vyxF1f9RGjP9TO8J2Wed/0k7oXHpS9SvbhLPXtglXy+W8Oznz9UqptK7NM9sk4h9ocyV2P++ntO+/TyX5vrZNVso4zX+3vLFhe3PDXa+G2sfPb4fcX9r2oy9zi1bKOM03tleML2oTR69rz3mF5/1jyx+9dpTV8vHn2mjhyq/7Hu5ofS9o716wHFAyLn8ox2leDrhZtbmDR7QXBrt/5x23yus+TvOXd/++a7/nlqPMvtjmVL2+rfuftUhaTsGwvEg+oDhTNQCQ6v4vHl0fMTcUycIAAAAASUVORK5CYII=);}
|
|
span.detail_graph-f17-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f17-15::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAHFBJREFUeJzt3Q2wbWdd3/HfMZFoShIMgljTgmFGqwiGGQQ7apypgoJAl6ELXakIggQjRtEwkEwRcVByU4VahFjxjRfHxbhm7FJeq5I2AkKRooMg2NGYQCgmkkBeJIQGbue581x6vHNDDrn35tyz/5/PzEnO2fvsc/ez9nn57mc9a+2t/fv3BwCgsi/a7TsAALDbBBEAUJ4gAgDKO3E3t8A0DltJ/nmSm8s/EgCwOU5J8n/mZd0zC5V3NYh6DF2zy/cBADj6zkjykewRux1EN2/baGaJAGAzZoeu2Wt/13c7iA66eV7Wm3b7TgAAR2Yah+xFFlUDAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQ3p2+2v00DvdJcm6SJyd50rys79923WOSvCHJD83L+sppHJ6Y5L8kuTrJd8/Lem35LQwA7O0ZomkcTknyoSTfn+ShSba2XXfPJL+S5LPbbvK8JOckeWeLqGkcvnwah186piMAADjGu8xuTXL/1j+Hue6SJG9N8vFDvl6bHbouOTD79Iokf3CkdxIAYNd2mc3LenuLm2kcHrD98mkcvjlJ2z32oCQf3HbVf0rSdqm1XWWvSfJ387JefujXncbhpCTtrc1AAQDsrUXV0zjcI8mvJ7lwXtaPbb9uXtbfSHJqkkcleWSSa6Zx+NA0Dr95yJe5OMmN7fojHgEAwC4cZXZOnxl62TQOn0hyepLLpnFoC68PasH0jCTP7bvbHjKNQ1uDtH1322lJzjjSAQAA7EYQvT7JVyc5q7+1KHr+trVC/z7J6+ZlfW+S/X2N0aeSnHDwC8zLetu8rDclufmIRwAAcKwPuz/UvKy3JGlvB0zj0I4y+1i/vF3/qmkcDh6N1o4w+59J/nuS9xzpnQUAOBa29u9vkzi7YxqHU/taotP6jBHVXHTmzr8B9135udM+AHB8mvbo33ZnqgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACU9wWfhwjuzNalN+z4UPrdO+kDAPx/ZogAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5TnsHo6Fi87c+RkF9l255UEA2F2CCPY68QVwxOwyAwDKE0QAQHmCCAAoTxABAOVZVA075EVrATaXGSIAoDwzRHAcMhsFcPcyQwQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOU5DxF1XHTm/h1/7r4rt47pfQHguGKGCAAoTxABAOUJIgCgPEEEAJQniACA8hxlxp7mVeEBOBrMEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5Z14Z1tgGof7JDk3yZOTPGle1vdP4/CwJL+S5MFJ/jbJj8/L+pZpHM5O8tokn0zyuHlZP1B+CwMAe3uGaBqHU5J8KMn3J3lokq1pHNptfi/Ju5I8MMmfJHlNv8mzkzwnyW8m+ZFpHL5kGodfm8Zh6+4ZDgDA0d9ldmuS+7c22nbZyUl+J8kl87J+JMkbk9x7GocT+tdrl300Sft4X5K3z8u6/y7cNwCA3d9lNi/r7Umum8bhAdsuuyXJRe39Plt0QdtNNi/rZ6ZxuCzJmuS2JC9O8k3zsj7r0K87jcNJSdpbm4ECANjTi6pfnuTMJD/VPpiXtc0WnZ7kQUnGJG+exuGqaRxe3yPooIuT3JjkmiP89wEAdi+IpnG4JMnjkzxqXtbrD17eZoqStJmi5/XZo/P7VY/ZdvN229OSnHFE9x4AYLeCaBqH5/TQeUKSG6ZxuNc0Dvfo1317kmvnZX1zX0f0iX7UWXv/gHlZb5uX9aYkNx+NQQAA7MYM0aV9hucdST7e387tsXNFnxlKX1T9pj4T1AIJAGDvnYeomZf1qnbI/baPP+9h9AePKpuX9beTtDcAgOOWM1UDAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPJ29OKuFHPRmQdenHdH9l35eV/oFwD2AjNEAEB5gggAKE8QAQDlCSIAoDyLqovYuvSGHS+U3vmKagDYDGaIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMo78c62wDQO90lybpInJ3nSvKzvn8bhjCSvTPKIJH+T5Onzsr57Goezk7w2ySeTPG5e1g+U38IAwN4OomkcTknyoSR/keShSbb6VS9O8ukkD0rynCSvTvL1SZ7dP/6XSX5kGofnJvnlJOfNy7r/7hkSAMDR3WV2a5L7tzY65PJvT/KaeVlbLP1akq/rM0nt630kyUeTnJBkX5K3iyEAYM/OEM3LenuS66ZxeMAhV903yc39/Rv7/1sQXZZkTXJbn0X6pnlZn3Xo153G4aQk7a3NQAEAbMyi6v3zsr4xyel9V9qY5M3TOFw1jcPrewQddHEPqWuO4r8PAHC3BtHHktyrv39q//917T/zsn6mzxQ9L8kFSc7v1z9m2+0vSXJakrY4GwBgTwbRFe2os2kc2uLpH07yvnlZr29XTOPQ1hddOy/rm/s6ok/0o87a+wfMy3rbvKw3bdvtBgCw54Lown7bv0rybUmecvCKeVmv6DND6Yuq39RnglogAQDsvfMQNfOyXrXtkPv0o8u+4/N8/oFD7Odl/e0k7Q0A4LjlTNUAQHmCCAAoTxABAOUJIgCgvB0tqgY44KIzd/6ahPuu/NyBGADHOzNEAEB5gggAKE8QAQDlCSIAoDyLqqG4rUtv2PFC6Z2vqAbYW8wQAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo78TyW2CvuOjM/Tv+3H1Xbh3T+wIAG8YMEQBQniACAMoTRABAedYQ7aKtS2/Y8bqgnS8gAgC+UGaIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOXd5cPup3H44SQ/k+TLklye5AeT/HSS85K8oX3KvKyOFgcANnOGaBqHeyf51SQ/n+QhSb4uyYuSjEkenuSBSc6axuHsaRxaIAEAbNwus/bioZ9Jck2SjyT5xySfTfKpJFcnuTlJi6ZfTLIe5fsMALD7QTQv68eSXJzkdUluSnKPJM9O8rYkNyb5v0meluSF87Jed+jtp3E4aRqHU5OcclRGAQCwC7vMvqqvH3pmkm9J8sVJfnJe1qcmOTnJbyW5Jcn3TuPw4Wkczj/kS1zcw6nNMAEA7MldZi2CTpiX9bJ5Wd+d5PeSPLpfd78kFyZ5dZIHt35K8vxDbn9JktOSnHGE9x8AYNeOMvtgki+dxuGJSf4sySOTvKtf1+LngiS3J/l0kuv7mqPPmZf1tiS3TeNw5CMAANilNUTvTfJjSV6cpL3/4STP61efNy/rO5O8J8m1PZReeqR3FADguDsPUdtdluSyw1x+4NxD87K2o87OOdI7CABwrDlTNQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLwTy28B4Ph00Zn7d/y5+67cOqb3Bdh4ZogAgPIEEQBQniACAMqzhgi422xdesOO1wXtfAERwJEzQwQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8k68q1tgGocWUxcleWqSD87L+thpHF6c5Lwkb2ifMi/r/vJbGADY3CBK8pIkY5IfTfLWaRxO7x8/PMmrk5w1jcMpSf7VvKyvOIr3GQBg94NoGof7JnlmkifMy/oH/bIvT/KpJFcnuTnJvZO8KMljj+5dBgA4PmaIHpHkhCTfN43Dy5O8L8nTk7wtyY1JLk/ytCQvnJf1ukNvPI3DSUnaW5tBAgDYk4uqvyxJWx/09iSPT/IVSX5hXta2nujkJL+V5JYk3zuNw4encTj/kNtf3MPpmqMwBgCAXQmiNutz67ysl83L+udJXpvkIf26+yW5sK8jenCbEEry/ENuf0mS05KccWR3HwBg93aZvSPJbdM4XJDkdUmGJO/p17X4aZffnuTTSa5PsrX9xvOy3tZvf+QjAADYjRmieVnb7q5zkjwjyV/26GmzQs1587K+swfStUneleSlR3pHAQCOu8Pu52W9Isk3HObyA+cempf1sz2aAACOa85UDQCUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMo7sfwWALjozP073gj7rtyywWDzmCECAMozQwRspK1Lb9jxrM/Op4eATWWGCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFDeER12P43D7yYZ+9Fqc5LvSfKKeVkvLL9lAYDND6JpHB6f5Jz+4UOTPDDJw5P8t2kcfj7JdyW5aV7WNxy9uwsAcJzsMpvG4dQkL0/ysm1f5+YkVyf5VJIzk/x4ksuP7t0FADh+ZoguTfKWJH+c5CeS/HmS29uMUJLfbq/2k+TH5mW99XA3nsbhpCTt7ZQju/sAALswQzSNw7cmGZL81MHL5mX9zLysj0rypUn+OsmfJnnBNA5XTePQPvdQFye5Mck1RzwCAIBd2GX2vCT3TnJlkte2C6Zx+ES/7sFJWhi9t3/8o0l+9jBf45IkpyU5467fdQCA3QuipyT5miRn9XVC6e83L0jy1P5+W0t0fZITDv0C87LeNi/rTX3dEQDA3lpDNC/r3x98fxqH6/plV/WL/u28rPv75W1t0R9uiyYAgM07D9G8rK9PsrXt4/39//+Y5NuOxh0EADjWnKkaAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5J5bfAgB3p4vO3L/jz9135dYxvS/A5wgigCO0dekNO46cndcQcHeyywwAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvBPvyhaYxuE5SZ6V5JQkb0nylCQ/neS8JG9onzIv6/7yWxcA2MwZomkcHpnk53oEPSzJNyZ5UZIxycOTPDDJWdM4nD2NQwskAICNmyH6dJLnzsv6h+2DaRzek+SkJJ9KcnWSm5Pcu0fSY4/+XQYA2OUgmpf1iiRX9Bj62iTfneRxSbaS3Jjk8iRPS/LCeVmvO9zXmMahBdRJfZcbAMDeXFQ9jcNXJnljklfMy3r5vKxPTXJykt9KckuS753G4cPTOJx/mJtf3OPpmiO7+wAAuxRE0zicnuSPkrwjyYXbrrpf//jVSR7cPjXJ8w/zJS5JclqSM+76XQcA2L1F1fdM8qYkH+1Hmp06jcO9+tUtfi5Icmtfa3R935X2T8zLetu8rDf19UYAAHtuhugJ/Wiy70zyD0k+3t+a8+ZlfWeSttD62iTvSvLSo3yfAQB2fVH1q5K86g6uO3DuoXlZP5vknKNxBwEAjjVnqgYAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHknlt8Ch9i69Ib9O90m+597+pbtBwB7nyAC2NQnbR9/2M6/8L4rPcGjNLvMAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOWdWH4LAHBYW5fesH+nm2b/xx+2862478otm5zjjRkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOU5MSMAe+pEkEfjJJB357/F3mCGCAAo7y7PEE3j8O+SXJrk3klel+QZSV6Y5Lwkb2ifMi/rjk/7DgCwp2aIpnFoEfSqJJckeXiSb0lyQZKxf/zAJGdN43D2NA4tkAAANm6X2TclOSHJb8zL+r+T/H6Ss5N8KsnVSW7uM0e/mGQ9yvcZAOC42GV23yS3bNsldmOS+yR5W3//8iRPa7vQ5mW97tAbT+NwUpL2dkq/6JRpHHI8OPGhL9/x507jcOrd9W998rM7b9enHeZ++bdsQ98bfr6O598bX8i/t9f+rYJOyR60tX//F77MZxqHH0zyknlZv7x//IIkj56X9RHTOHxxkick+Y4+i/TIJC+al/VXtt2+ff7PHOWxAADHj6+el/WqbPgM0ceSnDqNwxfNy/rZ9n6SgzNB90tyYZKfatHU+ifJkuRzQdTXHr2kV+Q1Sc7ou9kqMXaPu+/5Gvys+1mv+rN+Q/aQuxpE70pye5Ifmcbhj5I8flvwPL8vsG7XfzrJ9W0mavuN52W9Lclt23aT3Twv600pxNgP8LgXUvV7vuq4G2NP9cd98xdVz8vaZoiekuTZSf4syZ9uC6Lz5mV9Z5L3JLm2x9NL7+BLtTD62f7/aozd415N1e/5quNujN3jvtlriAAANokzVQMA5d2tr2U2jUM7NP8VSb4ryceT/Md5Wf/zHZ35el7WT27iI1RprM00Ds9J8qy+0O4tfXfrPZO8MskjkvxNkqfPy/rubKhpHH63nbh0XtataRy+oZ3DK8nXJ/mLtj3mZf3bbJh20EWSi5I8NckH52V97DQOZ1R43Kdx+OF+JO2X9dOQ/OAmf8/33+3nJnlykifNy/r+z/dYT+Pwon5qls8k+eV5WduBNps09of1ZSQPTtJ+tn98Xta3bNLYp8OMe9t1j+mvWPFD87K+sp9q55eTtL99bT3VC9rlKT5D9Ev9KLQHJbm4fTyNw9d+njNfb5xKY22mcWinXfi5HkHtl8Q3JmmB9OK+6L59L7w9yauzoaZxaAcdnLPtohZDf9nH3tbjvSybqR1J+sx+1GkLglR43PvP+K8m+fkkD0nydX295UaOfRqH9kTnQ0m+P8lDtx1Ec9jxTuPw6P4773FJfqCdr24ahxZNGzH2/kTg9/r62faqDX+S5DWbNPbpjh/zdt09ewy2I9APak+KHt3/3v10mxiZxuFfpHgQ/a8kz52X9e+S/NdtJ3m8ozNfb6JKY03/hdge8z+cl/Wv+2L7r0jy7e2XxLys7Yfq19ofjf6MY6P0k3e+/GD0TOPwJT2Ef6OP/ZWb+PhP43DfHkPnz8v6+/OyHjz8tsLjvtWf/bfDjj+S5B/7UbebOvZbk9y/n2Jluzsab7v8T+dlfde8rJf3Jwdnb9DYT07yO+1J77ys7fF/Y9sbMI3DCRs09lvv4DFPf7L/1r4X6KA27jfOy/qBeVlf038mvjmVd5nNy9qeMR70rD6V+I4+7Xa4M19vojs6y/dGmpf1iiRX9D+SX5vku/uzox/adu6ptg3St8M/ZLO0XaNtqvyPk/xEf/xzyNhPnsbh5A3bbdqe9bY/AN83jUMLwve1XSZ9/Bv9uLejcKdxuLjvDv90/z23r5+SZOPGPi9ri73rpnF4wCFX3dFjvf3yPf078HBjn5f1lr6r+OBu4zYj9Np5WT/Tnyjs+bHPd/CYT+PQIueJfVbwg9uuum9/gnBcj/uYzxBN43DZNA6f6G/f2i+b+jfMD/QNeziVDn/b+LFO4/CV/ZnSK/ozo43fDv37fegnKb0zGzX2vnZmf99V8vg+K/gLFcY+jcNX9fVDz+y7CNrZ+3+ywth3YH+x7dCeDJx5J78DNmLs0zjcI8mvt13k/dQ8d2Z/xV1m7VnRWf3t3dM4fE/faN/Xz1f0T8583T/efubrTVNprAdM43B6kj/qs4FtPcnB7XCv/v7B1//ZtO3wvL5w/sr2DLFf1haX5pCxtxnDNgW9Sdpjeeu8rJfNy/rnffwPKfK4twg6oY/93X09yaOLjH27Oxrv9ssPXrdx22Eah0v6k4FHzcvaTlCcDR/7OX1m6GVtAiRJ+73fJkTO3SvjPua7zHopHqjFaRzafsTf7c+W3jaNw736lPLnO/P1pqk01oML7N6U5KN9N2mLwfTdaE+exqEtOGxH5Lxv2y+NTdEWkrc1Q82/6Yupv6a/lM3Tp3G4uh+h8T+yed7Rz0Z/Qd91NPT1Y19S4HFvuwq+dBqHJ/YT1z6y/9xfW2Ds2x32Z3wah3b5j03j8K/7i3w/pO9O3bQja8/vSwRu6H/r2i7xTR7769trl237uP28tyPq/qDPGP+HfoRtG/M/6yd0Lr2o+gV9wdmv9gVX7e2yOznz9UapNNbuCX0R8Xf2tRIHH/cL+/ffXyX5tr5NNsq8rH/fXtiwv7jhgWdD/f2n9UPuP9D3o7e1RRtlXtYb+zPGZ/SFo9f3x7zC4/7e9kevH2XV3v9wny3c+LEf4o7G+8b+6gXtgJK5/aGcl7UdcLNpawdP608MDv7OO3eTxz4v6y0Hf9/133PtKLOP9TVVv97H/tYeSe0UDO1J8nHFmaoBgFT3/wA9L6mN7kTiBwAAAABJRU5ErkJggg==);}
|
|
span.detail_graph-f17-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f18::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f18-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f19::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f19-::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f20::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f20-0::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f20-5::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f20-15::before { content: url(data:image/png;base64,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);}
|
|
span.detail_graph-f20-30::before { content: url(data:image/png;base64,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);}
|
|
span.minigraph-f21::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk4AAAB4CAYAAAAE5X1sAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAEPxJREFUeJzt3Qu0HVV5wPF/sBCgBDA+wIoKdYEvisSFaJWKVLGUAm6UDd1aJVQRNFAQqTGKoEUbUpEqGrAgloc6gcmCUQqkWnlYwCjIQ0GF8kgRURCQ8DS0eLs27ksPd+UxF3JP5pz7/6111j0zZ+acPXude+e73/5m9pSRkREkSZK0an/QYhtJmlRSDHsB84BnAecCBwBHA+8DzsubVHWzxv7rTDF8GDgUmAZ8B5gJbACcCrwGuAnYv6qbK1MMbwAWAA8Du1d189M11OazgFjVzZQUw9bAKcDLgWty+6u6uTnFsDfwJeC/gV2qurmzz21cC/gI8LfAz6q62S3FsFlX+zXF8F7gKOCZwIXAu7v+PRgG+UsiSSpSDDlYOg2YC2wPvB44OJ/0y/KLgW3ziSjFkAOpvkox7Ax8qgRL2wGvBHIg9VngUeAVwGXA6WWXw8vrXwEOTDGsm2I4OcUwpY9t3gN4W8+qHDT9uLT1buCLZf0RZbvFwDtSDM9OMXyuX+0EjgNmAR8qQQhd7dfyPf0X4NPANsDLSps62d5hYuAkSU/2auAZ+eRe1c2NwDeA/N/6b0sm5IGSiToWaNZA5+WT4uyqbr5V1c0NwFXAJsCOwBlV3dwGnJxPpCmG55S/878AflmO65h8Qu1XxizFsCEwfzQ4yifsEoCeUtp6aulfSltzH99VRkROAr7Zp3Y+twRN76/q5htV3dxbXupkvwI54HkMuL204yHgfzvc3qHhUJ0kPVk+gT7Yc0JZCuQTz6XleR4SeU8euqvqJp/g+6qqm0uAS8rJ/iV5SCsPvQD7laButM2Udp9QArxlJRvx6qpu8jBfv8wrw4n/ARxS+pcxbV0/xbA+8M/A9UAeojsDuLWqm9zf/fCaElDsk2LIgd51eZirtLdz/VrVzd0phjllKDkH0zeXYOjILrZ3mJhxkqRVG6nqJte95JP7v+bACtgzxfDzFMP710QHphieB5yfszIrCS5yu/M208vQTR5uXJRiWJJi+LcUw9QJbuMOQAAOa7F5bmsewssZqrcAeUjy9hTDbSmGPLw00XKd0EgZ3tqjZPE+08V+zVIMzy/1TbPKcPLawAe72t5hYuAkSU+Wa242LIXClBP5aGZp01L/kutG/iSfv8p/+H2VYsgnwG8D3yvtGW33xj1tZrTdVd08VjIOR5R6rdFgb9cJbuoRZVjzllKYTClYZkxbc4bvkZ79vlwK8meXPt4mxTBjgtua++qRqm5OqOrm6tLebTrar5Rg6RmlvVcCZwN/2eH2Dg0DJ0l6sh+UWpFcQLtlyT5cXF47spxwHinDI/eUWpO+STHkq6YuKLUqh5Ygb+MyfLdviuGFQL7a6rqqbu4p++S6lzurullUhqPuK1dX5ecTKRewb5WL6YG/K+vycj7R759ieEFuc0//Zu/Mw09V3fyoZIB+U+rLJrqtOQhdlmI4OMWwecmUXdXRfs1+BqyXr0RMMWxRMnQ/6XB7h4aBkySNqR0pJ/x8FdIVwOXAieXl91V1s7icUO8sQdbxfe7At5fi6jcDvy6BxW9K5mmtcvL8s3IMo8d0SQn4KHUwOfDKl9nnE+iEqermV1XdLMmPnqzHklIjlm9F8NNSf3NIzz6nlRqcLF9R933g3tLnE9nWpeWKvgPKFX/3lD7tXL+Wz86B5UGlr/Lzn5dMUifbO0ymeANMSZKkdsw4SZIkteTtCCSphXLlUb78e25VN/mS7s6yrfbrIH0HBo0ZJ0lqZ2q5/HsQLt22rfbrIH0HBoo1TpLU/g7YS0sx7egNBrtqWrmjtG21X7v+HZgG3DFIdzB3qE6S2sn3TqIEJIPCttqvg/Ad2KxMBzMQDJwkqZ3Rucu6/h+8NCimleB+oH6fDJwkaXweqOrmfjtNenpSzPcYHTwWh0uSJLVkxkmSxmHhjPlLF8wbHbXTyOzpfZ1yRlrTzDhJkiS1ZOAkSZLUkoGTpE5JMcxMMeSJdiWpcwycJEmSWrI4XFIXrZ1iOBPYFbgW+Cxwdr7vS1U3D6YYFgIPAp8AbgW+CvwV8Cvg6DJH1+bA/Kpu5qQY8v1ijgd2Bx4DPl3VzfEphrz/nsAvgR2A7wJvrermf9Z0B0jqJgMnSV20HnA6cCTwPeC5q9j+R8DHgG8AnwH+AtgeOCXFcBywLZAnOv1T4JXAWSmGr5d9XwjMAn4LLAZ2Bs4fM1lqfuTgS9IkZ+AkqYvur+rmvPwkxXALsOkqtr+gqpvbUgw5O7VBVTfXpxgeyvNxlqDrMmBv4Ftl6pS8fpOy781V3VxaPus+4Dlj3ntOmSz1cUvv25H11/rd6j7ewfURBmaOMfXRMbcM7W0qrHGSNAje+DT2zX/ADwN2Ad5VhvRG169o+15zgY3KVCuSJjkDJ0mDINcgZTunGGYArxrn/jnwube8z+vHs2NVN8vKFCsDNZ+WpIlh4CRpENyYC71L3VN+3DXO/T8HPAxcA2wDjw8vPW+C2ippiE0ZGXF4WpJWJcWwYS5xOmWL66xxklZDjdPo71TOCA/SxNlmnCRJkloycJIkSWrJ2xFI0ji859atB2pYQdLqZcZJkiSpJQMnSZKklgycJEmSWrLGSZLGYeGM+UsXzMv30pzcRmZPH9opNaSVMeMkSZLUkoGTJElSSw7VSeqEFEOeyPciYFpVNw+WdbsB51Z147CQpE4w4yRJktSSGSdJnZdi+ASwW1U325Xlu4HDy8vzgMXATsDlQAMcAawNHFjVzTkphq2AE4HtgV+U9RenGC4uc2X9MfAi4PNV3Xx8zR6tpC4zcJLUNbenGMbzN2rjHPAAOeD5PvA7YAfgo8DRwDnALsAlwL7AYcDxwDZl/+cDe5ZtPp9imDc6VJilGKYC+TFtQo5W0kAxcJLUNa8DHi7P/xw4ZRXbP1DVzYX5SYrhTuD8qm6WpBguLwFRtgg4DjgAeCbwUM/+F1d1c1PJPuXyhWcBTwROwBzgqNGFva6e5ZQr0iRmjZOkrrktBz75AdxV1o08xfcaLSo/AVinZJWO7Fm/sn1GzQU2AjZ7im2QNETMOEkaBL/MdUgphpcBWwIbjnP/HPhcVzJNuc6ptapulgHLeoYPJU1iZpwkDYIFwLXAFcAHgPHeuvvDQL7dwQ+AZ+RAKsWw3gS1VdIQmzIy8lQz4JI0eaQYNixX4FnjJE3i3ykzTpIkSS0ZOEmSJLVk4CRJktSSgZMkSVJLBk6SJEkteR8nSRqHhTPmL10wb7x3QxguI7Onr+wGotJQM+MkSZLUkoGTJElSSw7VSeqbFMMngN2qutmuZ92xwHZV3byxTLR7ZVU3h5fXtgZ+DGwBzCyT7c6p6uaYnv33AmrgtKpuZvas/xLwN8CmVd08PmlviiG//hVgp6puLinrDgIOr+pmc78KklbFjJOkQZKnOth3zLq8/KQpEFIM6wL7lH8Oc2DVK9fnnFS2kaRxMXCSNEiuBzZJMbw2L6QYNgHeDFw2Zrs8I++jwPElU9UrZ5/yVA9H9q/ZkoaFQ3WS+m3bFMN9Pcs587O45b7LgDNLMJT3eSdwEfDwmO1mluG7r+VhuBTDFlXd3NrzHgcDVYohTx68UimGqUB+TGt/iJKGlYGTpH77CbBHz/JHga3Gsf9pwAUphkPLMN3c3uG4FMPzgZ2BT1V1c22K4cayXa6velxVNwtTDDno+nIJrlZmTqmtetxeV88aqAlJJa1eDtVJ6rdHq7pZMvoA7h8zjLZez/L65ecDoyuqusmZpruATwK5oLsZ8/7vKn/bFqUY8vu9GHh3imHsvYdmlYDtwFW0NwdmGwGbPbXDlTRMDJwkdcmFuT4pxbB9iuEFwAeBa6q6uWc5Wae/z8NxVd38dsxrObuUr6jbtjzeVK7K27F3o6pu7gBmAy9dWYOqullWMkxPBG+SJi+H6iR1SS7m3rRkkTYoRd9jr4rLzgCOBk7vXVmKxnMg9K6qbm4qq29KMfyw1D3l2x30Ogl4B/CiiTskScNkysjIk67ilSQtR4ohX4m3NA/bWeMkTd7fKYfqJEmSWjJwkiRJasnASZIkqSUDJ0mSpJYMnCRJklrydgSSNA4LZ8xfumDevU8sj8yePvbGmpKGmBknSZKklgycJEmSWjJwkjSUUgwzUwx3j2P7PNXL3hPbKkmDzsBJkn4vAAZOklbK4nBJw2xqimER8Drg28C7gT3LPHfPAv4dOAD4xzI5cM48LarqZpc13XBJ3WTgJGmYrQt8AfgQ8C3gUOCTJYC6EjgHOBaYBeR5s/6wTPr7hBTD1ByAAdPW3GFI6goDJ0nDbGlVN+flJymGc4HZwJKqbr5e1p0MHFLVzSMphkeBdaq6eWjMe8wBjnriDe/bkfXX+t3/v/oRVj5T+jG3eLsCaYhY4yRpshgpGaWeqIc2Qc3cPHs7sNkEtk3SgDDjJGmYbZRi2B24GdgN+DjwDymGfYAfAvuVOqdsGbBlimGTqm7uHH2Dqm7y+mUp5tpxSZOdGSdJw+wO4APAYuAK4PPAzFIMfi1ww+ODbb93JvASIA/fSdJymXGSNJSqujkVyI+xvloeY7e/EHh2f1onaVCZcZIkSWrJwEmSJKklh+okaRzec+vWG1V1c7+dJk1OZpwkSZJaMnCSJElqycBJkiSpJWucJGkcFs6Yv3TBvHuX+9rI7OlOryINOTNOkiRJLRk4SeqUFMMeKYa/7vNnzkkxvLyfnylpMDlUJ6kzUgyvBT4H7FCWdwGOKVOh/Bcwp6qb88prefK4daq6OSvFkKdRObaqm6d65+//BC5IMcyo6mb543CSZMZJUsccn+eRq+rmjhTDK4Bv9swhdyJwTophm7JtDpz2frofmGKYUtXNpcBlwFFP/xAkDTMzTpI6oQRKr8r112XV/sDPqrqZW5ZPTDHkQOm9KYZ1gH3LfouABcDaKYYcZO1aJvDdvaqb36QY3gR8EdgMuBjYD9gauAj4DrAxsF2erg44PcVwWFU3j625npDUZdY4SeqKPEz386pu7ivLLwWuH7NNXt4K+GAJdHJG6u3ltfVy4FOCoFyvtHeKYTpwds5ilazV2sDHe97va8BbyvMfliAqv/8TUgxTUwwbAtMm7tAlDQozTpK6YhOgt74oX9q/3Mv7q7p5JMXwaKlxeijFPGrH/T31T7cAmwI7Ajno+ULZdV1ggzzkV5brqm4eLM9/XX6OrZOa0zuEt9fVs5xyRZrEzDhJ6oocCK3fs3xDGVLrtXVZ30YOukbK8zcA25YsVlzB9lPLz0fGrM9DhRuVoT5Jk5wZJ0ldcXPOEpVi7RzwnAQcmGL4GHBGqV16HXBw2X4ZsGWKIWeqVuR7QM4ovQ/4p1JM/ivg9uVs+0fl5629K6u6yZ+zrGS1JE1yZpwkdcV3S8bpFSVguQ54awl2bgRmAXtWdfPjsv3o1XYnr+gNq7q5E3hbyTjdULJNo/uPlbe5qqqbeybk6CQNBTNOkjohBywphlzcfSBwUFl3Qb6/0gq2v3BMPdKpPa9t1/P828DoLQx6ja2fyp973Go4FElDzIyTpC6ZDeyUYhi90q0vUgwfBZZUdZOvspOkFTJwktQZ5a7dO66gBmki5exV6vNnShpADtVJ6pSqbu4G7u7zZy7u5+dJGlxmnCRJkloycJIkSWrJoTpJGp9p3tNJWi0GchojAydJGt8f+X4XrkuT4XfrfgaEgZMktXNHmXblATtMWq1BU/7dGhhTRkZGp3KSJEnSylgcLkmS1JKBkyRJkoGTJEnS6mXGSZIkqSUDJ0mSpJYMnCRJkloycJIkSWrJwEmSJKklAydJkqSWDJwkSZJaMnCSJEminf8D4uoh/mmEcD4AAAAASUVORK5CYII=);}
|
|
span.detail_graph-f21-::before { content: url(data:image/png;base64,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);}
|
|
span.association-graph-source::before { content: url(data:image/png;base64,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);}
|
|
span.association-graph-compare::before { content: url(data:image/png;base64,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);}
|
|
span.graph-legend { content: url(data:image/png;base64,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);}
|
|
</style>
|
|
<script>
|
|
g_height = 3884;
|
|
g_scale = 1.0;
|
|
</script>
|
|
</head>
|
|
|
|
<body>
|
|
<div class="page-root">
|
|
<!-- TOP HEADER -->
|
|
<!-- ALL SUMMARY TABS -->
|
|
<div class="page-column-main" id="col1" style="transform: scale(1.0);transform-origin: 0 0;">
|
|
<!-- DF Summary -->
|
|
|
|
<!-- ASSOCIATIONS (VERTICAL ONLY) -->
|
|
|
|
<!-- ALL SUMMARIES -->
|
|
<div class="container-feature-summary" id="summary-df" data-detail-div="detail-df">
|
|
<div class="pos-dataframe-summary text-label">
|
|
<span class="top-header"></span>
|
|
<div class="pos-dataframe-summary-title-source text-dataframe-title color-source">Raw</div>
|
|
<div class="pos-dataframe-summary-title-compare text-dataframe-title color-compare">Cleaned</div>
|
|
<div class="pos-dataframe-summary-rows">
|
|
<div class="dataframe-summary-row row-colored">
|
|
<div class="pos-df-summary-source color-source">10000</div>
|
|
<div class="pos-df-summary-center">ROWS</div>
|
|
<div class="pos-df-summary-compare color-compare">10000</div>
|
|
</div>
|
|
<div class="dataframe-summary-row">
|
|
<div class="pos-df-summary-source color-source">0</div>
|
|
<div class="pos-df-summary-center">DUPLICATES</div>
|
|
<div class="pos-df-summary-compare color-compare">0</div>
|
|
</div>
|
|
<div class="dataframe-summary-row row-colored">
|
|
<div class="pos-df-summary-source color-source">9.0 MB</div>
|
|
<div class="pos-df-summary-center">RAM</div>
|
|
<div class="pos-df-summary-compare color-compare">6.6 MB</div>
|
|
</div>
|
|
<div class="dataframe-summary-row row">
|
|
<div class="pos-df-summary-source color-source">
|
|
22
|
|
</div>
|
|
<div class="pos-df-summary-center">FEATURES</div>
|
|
<div class="pos-df-summary-compare color-compare">
|
|
22
|
|
</div>
|
|
</div>
|
|
<div class="dataframe-summary-row row-colored">
|
|
<div class="pos-df-summary-source color-source">9</div>
|
|
<div class="pos-df-summary-center">CATEGORICAL</div>
|
|
<div class="pos-df-summary-compare color-compare">9</div>
|
|
</div>
|
|
<div class="dataframe-summary-row ">
|
|
<div class="pos-df-summary-source color-source">9</div>
|
|
<div class="pos-df-summary-center">NUMERICAL</div>
|
|
<div class="pos-df-summary-compare color-compare">9</div>
|
|
</div>
|
|
<div class="dataframe-summary-row row-colored">
|
|
<div class="pos-df-summary-source color-source">4</div>
|
|
<div class="pos-df-summary-center">TEXT</div>
|
|
<div class="pos-df-summary-compare color-compare">4</div>
|
|
</div>
|
|
<button class="button-assoc color-source button-border-source size-df-summary-button pos-df-summary-button-assoc-source" id="button-summary-associations-source"
|
|
data-detail-div="df-assoc-source">ASSOCIATIONS</button >
|
|
<button class="button-assoc color-compare button-border-compare size-df-summary-button pos-df-summary-button-assoc-compare" id="button-summary-associations-compare"
|
|
data-detail-div="df-assoc-compare">ASSOCIATIONS</button >
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
|
|
|
<div class="pos-logo-group">
|
|
<div class="pos-logo im-logo"></div>
|
|
<div class="pos-credits text-credits">
|
|
<span class="text-version">2.3.1<br>
|
|
<a href="https://github.com/fbdesignpro/sweetviz">Get updates, docs & report issues here</a></span><br>
|
|
Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br>
|
|
Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a>
|
|
</div>
|
|
</div>
|
|
<div class="page-all-summaries">
|
|
<span class="graph-legend" style="left: 391px;position: absolute;top: 5px;"></span>
|
|
<!-- TARGET Summary -->
|
|
<!-- FEATURE Summaries -->
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f0"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
|
|
<span class="bg-tab-summary" style="z-index: -20000"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -19999"></span>
|
|
<div class="summary-number"
|
|
>
|
|
1
|
|
</div>
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab color-normal">event_id</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-text">
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_d351e59b15fd
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_a2852f796426
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_bc0fe6238a59
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_d8d7fbd6ff01
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_41c7e06b10a0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_1c7281cf8bd1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
evt_ba8a2cb57c27
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,993</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,993</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f1"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19998"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -19997"></span>
|
|
<div class="summary-number"
|
|
>
|
|
2
|
|
</div>
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab color-normal">user_id</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
2,897
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(29%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2,897
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(29%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-text">
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_1381
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">12</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">12</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_2246
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_836
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_1677
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_2558
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_823
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
user_1486
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,923</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,923</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f2"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19996"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -19995"></span>
|
|
<div class="summary-number"
|
|
>
|
|
3
|
|
</div>
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab color-normal">repo_id</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
1,200
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(12%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
1,200
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(12%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-text">
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">20</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">20</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_1017
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_706
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_354
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_247
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_687
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_815
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
repo_376
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,877</div>
|
|
<div class="pair-pos__perc">99%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,877</div>
|
|
<div class="pair-pos__perc">99%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f3"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19994"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -19993"></span>
|
|
<div class="summary-number"
|
|
>
|
|
4
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">event_type</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
42
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
7
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f3 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f4"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19992"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -19991"></span>
|
|
<div class="summary-number"
|
|
>
|
|
5
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">lines_added</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,945
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(>99%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
55
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
138
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
137
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
516
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(5%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
516
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(5%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">5,000</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">196</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">62</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">60</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">27</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">27</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">47</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">20</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">13</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">13</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">5</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">5</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">5,000</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">196</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">22.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">22.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">369</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">20.5</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">136k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">420</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">176</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">7.08</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">13.3</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.15</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">470k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">195k</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f4 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f5"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19990"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f5" style="z-index: -19989"></span>
|
|
<div class="summary-number"
|
|
>
|
|
6
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">lines_deleted</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,936
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(>99%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
64
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
92
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
91
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
746
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(7%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
746
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(7%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">4,000</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">138</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">37</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">36</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">17</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">17</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">37</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">12</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">8</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">8</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">3</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">3</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">4,000</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">138</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">14.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">14.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">318</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">12.2</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">101k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">149</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">151</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">8.07</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">12.4</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.12</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">374k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">118k</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f5 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f6"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19988"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f6" style="z-index: -19987"></span>
|
|
<div class="summary-number"
|
|
>
|
|
7
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">files_changed</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
23
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
23
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">25.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">25.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">9.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">9.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">4.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">4.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2.8</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.8</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1.0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">24.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">24.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">3.00</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">3.00</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2.77</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.77</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">7.70</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">7.70</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">6.92</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">6.92</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2.32</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.32</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">28,230</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">28,230</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f6 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f7"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19986"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f7" style="z-index: -19985"></span>
|
|
<div class="summary-number"
|
|
>
|
|
8
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">dominant_language</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
36
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
6
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f7 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f8"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19984"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f8" style="z-index: -19983"></span>
|
|
<div class="summary-number"
|
|
>
|
|
9
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">ci_status</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
24
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
3
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f8 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f9"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19982"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f9" style="z-index: -19981"></span>
|
|
<div class="summary-number"
|
|
>
|
|
10
|
|
</div>
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab color-normal">coverage_percent</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,798
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(98%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
202
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
1,262
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(13%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
673
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(7%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-text">
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">472</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
100
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">34</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
74.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
74.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
79.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
76.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
77.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">32</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
75.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 618px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,330</div>
|
|
<div class="pair-pos__perc">93%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,798</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 435px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f10"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19980"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f10" style="z-index: -19979"></span>
|
|
<div class="summary-number"
|
|
>
|
|
11
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">editor</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
34
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
5
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f10 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f11"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19978"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f11" style="z-index: -19977"></span>
|
|
<div class="summary-number"
|
|
>
|
|
12
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">os</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
26
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
3
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f11 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f12"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19976"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f12" style="z-index: -19975"></span>
|
|
<div class="summary-number"
|
|
>
|
|
13
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">time_to_ci_minutes</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
9,798
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(98%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,798
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(98%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
202
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
202
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
2,799
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(28%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2,799
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(28%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
1
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
1
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1,578</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1,578</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">191</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">191</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">15</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">15</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">45</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">45</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">10</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">10</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">6</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">6</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1,578</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1,578</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">8.64</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">8.64</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">164</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">164</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">26,819</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">26,819</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">29.2</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">29.2</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">5.27</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">5.27</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">440k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">440k</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f12 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f13"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19974"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f13" style="z-index: -19973"></span>
|
|
<div class="summary-number"
|
|
>
|
|
14
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">build_duration_s</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
9,786
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(98%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,786
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(98%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
214
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
214
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
8,677
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(87%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
8,677
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(87%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">749</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">749</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">494</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">494</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">374</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">374</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">291</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">291</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">283</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">283</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">201</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">201</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">7</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">7</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">749</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">749</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">173</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">173</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">134</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">134</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">18,067</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">18,067</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">-0.172</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">-0.172</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">-0.185</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">-0.185</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">2.8M</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">2.8M</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f13 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f14"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19972"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f14" style="z-index: -19971"></span>
|
|
<div class="summary-number"
|
|
>
|
|
15
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">tests_run</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
249
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(2%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
249
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
15
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
15
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">273</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">273</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">185</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">185</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">146</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">146</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">119</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">119</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">119</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">119</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">92</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">92</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">53</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">53</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">273</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">273</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">54.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">54.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">40.1</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">40.1</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1,607</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1,607</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0.045</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0.045</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0.024</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0.024</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">1.2M</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">1.2M</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f14 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f15"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19970"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f15" style="z-index: -19969"></span>
|
|
<div class="summary-number"
|
|
>
|
|
16
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">tests_failed</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,769
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(98%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
231
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
153
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(2%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
41
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
1,248
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(12%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
1,248
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(12%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">245</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">48</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">25</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">23</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">15</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">15</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">12</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">10</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">10</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">10</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">4</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">4</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">245</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">48.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">11.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">11.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">19.4</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">7.20</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">376</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">51.8</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">48.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">-0.231</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">6.35</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0.459</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">125k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">98,024</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f15 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f16"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19968"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f16" style="z-index: -19967"></span>
|
|
<div class="summary-number"
|
|
>
|
|
17
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">is_weekend</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
8
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f16 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f17"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19966"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f17" style="z-index: -19965"></span>
|
|
<div class="summary-number"
|
|
>
|
|
18
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">pr_merge_time_hours</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
2,832
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(28%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
2,794
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(28%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
7,168
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-orange"></div>
|
|
(72%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
7,206
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-orange"></div>
|
|
(72%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
866
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(9%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
828
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(8%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
2
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
2
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">120</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">120</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">76</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">76</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">52</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">52</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">37</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">37</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">35</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">35</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">19</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">20</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">3</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">5</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">-9</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">129</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">120</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">32.3</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">31.9</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">22.4</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">22.1</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">504</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">486</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">-0.284</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">-0.275</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0.403</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0.446</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">104k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">104k</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f17 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f18"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19964"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f18" style="z-index: -19963"></span>
|
|
<div class="summary-number"
|
|
>
|
|
19
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">label_is_high_quality</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
8
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f18 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f19"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19962"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f19" style="z-index: -19961"></span>
|
|
<div class="summary-number"
|
|
>
|
|
20
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">exam_period</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
8
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f19 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f20"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19960"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f20" style="z-index: -19959"></span>
|
|
<div class="summary-number"
|
|
>
|
|
21
|
|
</div>
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab color-normal">commit_message_length</span>
|
|
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
9,304
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(93%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
9,304
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(93%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
696
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(7%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
696
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(7%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
115
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
115
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(1%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
77
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
77
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-summary-numeric-group1">
|
|
<div class="row-numeric-summary row-separator-bottom ">
|
|
<div class="text-label" style="position:absolute">MAX</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">126</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">126</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">95%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">81</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">81</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q3</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">61</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">61</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">MEDIAN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">48</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">48</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">AVG</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">48</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">48</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">Q1</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">34</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">34</div>
|
|
</div>
|
|
<div class="row-numeric-summary ">
|
|
<div class="text-label" style="position:absolute">5%</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">15</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">15</div>
|
|
</div>
|
|
<div class="row-numeric-summary row-separator-top ">
|
|
<div class="text-label" style="position:absolute">MIN</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0</div>
|
|
</div>
|
|
</div>
|
|
<div class="pos-summary-numeric-group2">
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">RANGE</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">126</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">126</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">IQR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">27.0</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">27.0</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">STD</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">19.8</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">19.8</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">VAR</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">390</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">390</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">KURT.</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">-0.117</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">-0.117</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SKEW</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">0.077</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">0.077</div>
|
|
</div>
|
|
<div class="row-numeric-summary">
|
|
<div class="text-label" style="position:absolute">SUM</div>
|
|
<div class="pos-summary-numeric-source text-value color-source">443k</div>
|
|
<div class="pos-summary-numeric-compare text-value color-compare">443k</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f20 pos-minigraph-numeric"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
<div class="pos-feature-summary" style="top: 0.0px">
|
|
<div class="container-feature-summary" id="summary-f21"
|
|
style="top: 0px">
|
|
<div class="selector selector__body" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
|
|
<div class="selector selector__bottom" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
|
|
<div class="selector selector__top" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div>
|
|
<span class="bg-tab-summary" style="z-index: -19958"></span>
|
|
<span class="bg-tab-summary-rollover" id="rollover-f21" style="z-index: -19957"></span>
|
|
<div class="summary-number"
|
|
>
|
|
22
|
|
</div>
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab color-normal ">is_bot_user</span>
|
|
<div class="pos-base-stats">
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">VALUES:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(100%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
10,000
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(100%)
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
<div class="base-stats-row">
|
|
</div>
|
|
<div class="base-stats-row">
|
|
<div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
|
|
<div class="text-distinct color-source pos-base-stats__source">
|
|
6
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc">
|
|
(<1%)
|
|
</div>
|
|
<div class="text-distinct color-compare pos-base-stats__compare">
|
|
2
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc">
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<span class="minigraph-f21 pos-minigraph-cat"></span>
|
|
</div>
|
|
<!-- This DETAIL WINDOW (VERTICAL ONLY) -->
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ALL DETAIL WINDOWS (WIDESCREEN ONLY) -->
|
|
<div class="page-column-detail" id="col2">
|
|
<div class="isHidden container-feature-detail" id="df-assoc-source"Yellow
|
|
>
|
|
<div class="container-feature-detail__offset"
|
|
>
|
|
<span class="bg-tab-detail-wide"></span>
|
|
<span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
|
|
<div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
|
|
<span class="color-source">[Only including dataset "Raw"]</span><br>
|
|
■ <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
|
|
(i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
|
|
<br><br>• <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
|
|
</div>
|
|
<span class="association-graph-source pos-detail-assoc-graph"></span>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="isHidden container-feature-detail" id="df-assoc-compare"Yellow
|
|
>
|
|
<div class="container-feature-detail__offset"
|
|
>
|
|
<span class="bg-tab-detail-wide"></span>
|
|
<span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
|
|
<div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;">
|
|
<span class="color-compare">[Only including dataset "Cleaned"]</span><br>
|
|
■ <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
|
|
(i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP).
|
|
<br><br>• <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
|
|
</div>
|
|
<span class="association-graph-compare pos-detail-assoc-graph"></span>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- TARGET Detail -->
|
|
<!-- FEATURE Details -->
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f0">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-wide" style="left: 12px"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab">event_id</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-detail-text" >
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_d351e59b15fd
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_a2852f796426
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_bc0fe6238a59
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_d8d7fbd6ff01
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_41c7e06b10a0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_1c7281cf8bd1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_ba8a2cb57c27
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_6484791b795b
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_28e55506aa72
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_72b9896148ef
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_0f7195e63939
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_6deeb2e40bba
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_a5de89991a0a
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_aff1eaca14a9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_5e72552c88a2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_6c2e54df7d84
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_e8bdf57970a1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_42cc1008c449
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_0a46caeb717d
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_0d3b5e4f0c21
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_e6a497e0b9dd
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_983aedce4015
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_58447e158b38
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_17ba452f30c0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_7fdab4a221ea
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_c7ac469edd8a
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_45226751d7be
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_329fc410eca9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_90b13dc2eee7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_9b3cf4efe794
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_dcb9ee6d8ebc
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_9d86a2c39f27
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_84905f75a3bc
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_daa3a8ffa889
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_6ed2b8a3ebdd
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_a268aa2249ac
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_28d8fe0a12b2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_ac1164eb412d
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_3d8097bc76f3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_8dfe2ba61492
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_cf567a9dbffa
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_b24e5da8975f
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_4b3186318128
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_9cfeff9beb62
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_db0530a09212
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_044f2ffbeaec
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_c29a860d30cb
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_7e79b61bf5c1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_14c799776bfb
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_9aed021eeefe
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_0ae3558fa748
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_5e9775955ca5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_d96857e5fa57
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_c3cdd8accc0f
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_f2d72b4698a3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_b61f23a70231
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_25b6a0f60907
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_7880e6fb9398
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_590f0992d056
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">1</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
evt_c4d1f718a190
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,940</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,940</div>
|
|
<div class="pair-pos__perc">>99%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f1">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-wide" style="left: 12px"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab">user_id</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-detail-text" >
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1381
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">12</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">12</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2246
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_836
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">11</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1677
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2558
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_823
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">10</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1486
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1916
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_351
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2232
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2828
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1448
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1900
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1691
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2368
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_732
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2160
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_219
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_439
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1304
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1779
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_389
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_112
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2538
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2427
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_662
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_80
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2897
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1997
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2027
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2419
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2430
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2917
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1766
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_814
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1036
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_463
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_594
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_89
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2329
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1540
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2482
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2785
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2766
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_908
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1511
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_343
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2354
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_324
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1955
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_905
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1396
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2595
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2653
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_2525
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1727
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_734
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1674
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_1473
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">8</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
user_393
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,482</div>
|
|
<div class="pair-pos__perc">95%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,482</div>
|
|
<div class="pair-pos__perc">95%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f2">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-wide" style="left: 12px"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab">repo_id</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-detail-text" >
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">20</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">20</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1017
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_706
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">18</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_354
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_247
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_687
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">17</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_815
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_376
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_383
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_919
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_140
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1019
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_127
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_926
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">16</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_636
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_375
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_367
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_562
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_794
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_980
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_596
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_434
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_945
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1006
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_260
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1171
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_89
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_928
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_26
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_513
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">15</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_329
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_999
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1121
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_217
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_338
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1097
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_536
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_360
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_680
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_258
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_233
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_835
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_848
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1165
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_623
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_630
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1015
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_791
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_921
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_943
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1022
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_138
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_99
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_470
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_121
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">14</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_297
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_608
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_946
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_1197
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_599
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">13</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
repo_691
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">9,110</div>
|
|
<div class="pair-pos__perc">91%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,110</div>
|
|
<div class="pair-pos__perc">91%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f3">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">event_type</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f3-
|
|
pos-detail-cat-graph" id="detail_graph-f3"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f3"
|
|
style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 114px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 195px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">test_run</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">868</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,430</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">push</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">860</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,466</div>
|
|
<div class="pair-pos__perc">15%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ci_run</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">852</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,423</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">commit</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">835</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,423</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">pr_merged</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">833</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,418</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">review_comment</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">824</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,426</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">pr_opened</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">810</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">1,414</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PUSH</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">276</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PR_OPENED</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">268</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">REVIEW_COMMENT</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">264</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">COMMIT</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">262</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CI_RUN</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">262</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PR_MERGED</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">249</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">TEST_RUN</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">248</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Push</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">201</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Review_comment</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">191</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Pr_opened</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">189</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">1,708</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 114px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 114px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 195px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-3"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f3">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f3">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">event_type<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON event_type:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">event_type<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " style="font-weight: bold;">
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.81</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f4" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">lines_added</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
55
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f4"
|
|
data-new_class="detail_graph-f4-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f4"
|
|
data-new_class="detail_graph-f4-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f4"
|
|
data-new_class="detail_graph-f4-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f4"
|
|
data-new_class="detail_graph-f4-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f4-0
|
|
pos-detail-num-graph" id="detail_graph-f4"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f4">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">lines_added</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">516</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">516</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">446</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">446</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">418</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">418</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">413</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">413</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">405</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">405</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">373</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">373</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">362</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">362</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">337</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">337</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">335</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">335</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">328</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">328</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">297</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">297</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">267</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">267</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">264</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">264</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">260</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">260</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">259</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">259</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">516</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">516</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">446</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">446</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">413</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">413</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">405</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">405</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">418</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">418</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">337</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">337</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">373</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">373</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">335</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">335</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">362</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">362</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">267</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">267</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">328</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">328</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">297</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">297</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">260</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">260</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">264</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">264</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">259</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">259</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.6%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5000</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">55</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">196</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">191</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">189</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">185</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">179</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">178</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">174</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">154</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">149</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">143</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">135</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">133</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">130</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">129</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f5" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">lines_deleted</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
64
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(<1%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f5"
|
|
data-new_class="detail_graph-f5-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f5"
|
|
data-new_class="detail_graph-f5-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f5"
|
|
data-new_class="detail_graph-f5-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f5"
|
|
data-new_class="detail_graph-f5-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f5-0
|
|
pos-detail-num-graph" id="detail_graph-f5"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f5">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">lines_deleted</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">746</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">746</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">719</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">719</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">653</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">653</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">630</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">630</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">555</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">555</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">495</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">495</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">451</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">451</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">450</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">450</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">441</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">441</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">370</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">370</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">325</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">325</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">304</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">304</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">303</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">303</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">275</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">275</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">251</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">251</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.5%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">746</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">746</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">719</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">719</div>
|
|
<div class="pos-detail-num-pair-pos__perc">7.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">653</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">653</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">630</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">630</div>
|
|
<div class="pos-detail-num-pair-pos__perc">6.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">555</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">555</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">495</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">495</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">441</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">441</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">451</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">451</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">450</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">450</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">370</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">370</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">325</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">325</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">303</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">303</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">304</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">304</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">275</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">275</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">251</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">251</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.5%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4000</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">64</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">138</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">124</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">101</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">99</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">90</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">89</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">87</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">86</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">83</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">81</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">79</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f6" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">files_changed</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f6"
|
|
data-new_class="detail_graph-f6-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f6"
|
|
data-new_class="detail_graph-f6-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f6"
|
|
data-new_class="detail_graph-f6-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f6"
|
|
data-new_class="detail_graph-f6-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f6-0
|
|
pos-detail-num-graph" id="detail_graph-f6"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f6">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">files_changed</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4,825</div>
|
|
<div class="pos-detail-num-pair-pos__perc">48.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4,825</div>
|
|
<div class="pos-detail-num-pair-pos__perc">48.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,457</div>
|
|
<div class="pos-detail-num-pair-pos__perc">14.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,457</div>
|
|
<div class="pos-detail-num-pair-pos__perc">14.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,048</div>
|
|
<div class="pos-detail-num-pair-pos__perc">10.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,048</div>
|
|
<div class="pos-detail-num-pair-pos__perc">10.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">808</div>
|
|
<div class="pos-detail-num-pair-pos__perc">8.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">808</div>
|
|
<div class="pos-detail-num-pair-pos__perc">8.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">523</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">523</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">376</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">376</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">268</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">268</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4,825</div>
|
|
<div class="pos-detail-num-pair-pos__perc">48.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4,825</div>
|
|
<div class="pos-detail-num-pair-pos__perc">48.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,457</div>
|
|
<div class="pos-detail-num-pair-pos__perc">14.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,457</div>
|
|
<div class="pos-detail-num-pair-pos__perc">14.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,048</div>
|
|
<div class="pos-detail-num-pair-pos__perc">10.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,048</div>
|
|
<div class="pos-detail-num-pair-pos__perc">10.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">808</div>
|
|
<div class="pos-detail-num-pair-pos__perc">8.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">808</div>
|
|
<div class="pos-detail-num-pair-pos__perc">8.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">523</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">523</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">376</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">376</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">268</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">268</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">25</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">22</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">21</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">20</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">19</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">7</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">7</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">18</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">11</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">11</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">6</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">6</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">32</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">37</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">50</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">71</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">99</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">146</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.5%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f7">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">dominant_language</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f7-
|
|
pos-detail-cat-graph" id="detail_graph-f7"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f7"
|
|
style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 102px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 183px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">C++</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,180</div>
|
|
<div class="pair-pos__perc">12%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Python</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">927</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Java</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">920</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Go</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">864</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Rust</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">846</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">JavaScript</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">680</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PYTHON</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">317</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">java</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">316</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,691</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">python</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">315</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,734</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">JAVASCRIPT</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">309</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">GO</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">305</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">javascript</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">304</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,720</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">go</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">299</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,636</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RUST</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">291</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">JAVA</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">289</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">rust</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">288</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,590</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">c++</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">287</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,629</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,263</div>
|
|
<div class="pair-pos__perc">13%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-7"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f7">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f7">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">dominant_language<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON dominant_language:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">dominant_language<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f8">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">ci_status</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f8-
|
|
pos-detail-cat-graph" id="detail_graph-f8"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f8"
|
|
style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 102px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 183px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SUCCESS</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,586</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">success</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,505</div>
|
|
<div class="pair-pos__perc">15%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">3,998</div>
|
|
<div class="pair-pos__perc">40%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">failure</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,189</div>
|
|
<div class="pair-pos__perc">12%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FAILED</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,168</div>
|
|
<div class="pair-pos__perc">12%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">cancelled</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,142</div>
|
|
<div class="pair-pos__perc">11%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,966</div>
|
|
<div class="pair-pos__perc">20%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Success</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">507</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CANCELLED</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">383</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FAILURE</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">367</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">failed</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">359</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">4,036</div>
|
|
<div class="pair-pos__perc">40%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Failed</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">281</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Failure</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">263</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Cancelled</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">238</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> SUCCESS </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">178</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> success </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">167</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> FAILED </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">141</div>
|
|
<div class="pair-pos__perc">1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> failure </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">133</div>
|
|
<div class="pair-pos__perc">1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> cancelled </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">129</div>
|
|
<div class="pair-pos__perc">1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">264</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-8"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f8">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f8">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">ci_status<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON ci_status:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">ci_status<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f9">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-wide" style="left: 12px"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-text"></div>
|
|
<span class="text-title-tab">coverage_percent</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
202
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="pos-detail-text" >
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">472</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
100
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">34</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
74.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
74.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
79.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
76.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">33</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
77.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">32</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">32</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.8
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">32</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
69.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
69.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
77.1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
77.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
74.6
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
74.8
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
77.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">31</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
78.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">30</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">30</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.6
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">30</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
85.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">29</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
68.8
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">29</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
81.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">29</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
82.1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">29</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
73.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
87.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
73.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
73.6
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
83.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
74.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
73.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
76.6
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
66.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
66.5
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
69.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
72.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
71.1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
78.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">28</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
82.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
82.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
72.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
77.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
70.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
71.3
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
59.9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
79.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
76.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
80.8
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">27</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
69.6
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
79.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
71.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
76.7
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
80.9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
75.1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
71.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
85.0
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
76.2
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
87.1
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
83.9
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">26</div>
|
|
<div class="pair-pos__perc"><1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">-</div>
|
|
<div class="pair-pos__perc">-</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
79.4
|
|
</div>
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width: 800px;">
|
|
<div class="pair__col color-source">
|
|
<div class="pair-pos__num dim">7,841</div>
|
|
<div class="pair-pos__perc">78%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 84px">
|
|
<div class="pair-pos__num dim">9,798</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="summary-text color-normal" style="left: 183px; width: 617px;">
|
|
(Other)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f10">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">editor</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f10-
|
|
pos-detail-cat-graph" id="detail_graph-f10"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f10"
|
|
style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 102px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 183px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">vim</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,252</div>
|
|
<div class="pair-pos__perc">13%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">3,315</div>
|
|
<div class="pair-pos__perc">33%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Vim</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,106</div>
|
|
<div class="pair-pos__perc">11%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Sublime</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">892</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Nano</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">882</div>
|
|
<div class="pair-pos__perc">9%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">IntelliJ</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">699</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">VSCode</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">691</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">VIM</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">600</div>
|
|
<div class="pair-pos__perc">6%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SUBLIME</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">313</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">vscode</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">313</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,704</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">intellij</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">308</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,712</div>
|
|
<div class="pair-pos__perc">17%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">VSCODE</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">307</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">INTELLIJ</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">304</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NANO</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">296</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">nano</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">296</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,628</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">sublime</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">263</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,641</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Vscode</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">242</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Intellij</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">227</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,009</div>
|
|
<div class="pair-pos__perc">10%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-10"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f10">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f10">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">editor<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON editor:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">editor<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f11">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">os</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f11-
|
|
pos-detail-cat-graph" id="detail_graph-f11"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f11"
|
|
style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 102px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 183px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">linux</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,555</div>
|
|
<div class="pair-pos__perc">16%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">4,007</div>
|
|
<div class="pair-pos__perc">40%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Linux</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,367</div>
|
|
<div class="pair-pos__perc">14%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WIN</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,139</div>
|
|
<div class="pair-pos__perc">11%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Windows</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">1,100</div>
|
|
<div class="pair-pos__perc">11%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">macOS</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">798</div>
|
|
<div class="pair-pos__perc">8%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">LINUX</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">707</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">MACOS</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">375</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">macos</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">368</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">1,992</div>
|
|
<div class="pair-pos__perc">20%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">windows</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">350</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">4,001</div>
|
|
<div class="pair-pos__perc">40%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WINDOWS</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">345</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">win</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">339</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Macos</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">287</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Win</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">284</div>
|
|
<div class="pair-pos__perc">3%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> linux </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">160</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> WIN </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">150</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> Linux </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">136</div>
|
|
<div class="pair-pos__perc">1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> Windows </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">131</div>
|
|
<div class="pair-pos__perc">1%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">409</div>
|
|
<div class="pair-pos__perc">4%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 102px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 183px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-11"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f11">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f11">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">os<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON os:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">os<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f12" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">time_to_ci_minutes</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
202
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
202
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f12"
|
|
data-new_class="detail_graph-f12-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f12"
|
|
data-new_class="detail_graph-f12-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f12"
|
|
data-new_class="detail_graph-f12-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f12"
|
|
data-new_class="detail_graph-f12-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f12-0
|
|
pos-detail-num-graph" id="detail_graph-f12"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f12">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">time_to_ci_minutes</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.34</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">17</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">17</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.51</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.05</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.62</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.98</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.33</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.03</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.94</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.61</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.44</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11.26</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.92</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5.32</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.01</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.02</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.03</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.04</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.05</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.06</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.07</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.08</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.09</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1578.3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1499.29</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1488.04</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1475.71</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1469.32</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1414.65</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1405.11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1394.74</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1389.66</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1384.39</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1381.99</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1379.65</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1372.18</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1368.85</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1361.8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f13" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">build_duration_s</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
214
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
214
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f13"
|
|
data-new_class="detail_graph-f13-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f13"
|
|
data-new_class="detail_graph-f13-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f13"
|
|
data-new_class="detail_graph-f13-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f13"
|
|
data-new_class="detail_graph-f13-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f13-0
|
|
pos-detail-num-graph" id="detail_graph-f13"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f13">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">build_duration_s</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">269.68</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.29</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">218.96</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.43</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.89</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5.04</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5.79</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">306.69</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">288.54</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.97</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.08</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.03</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">272.29</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">389.62</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">220.38</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.21</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.32</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.35</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.45</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.68</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.75</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.76</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.82</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.85</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.05</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.09</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">749.24</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">716.96</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">705.18</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">703.93</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">700.23</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">688.26</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">682.62</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">680.82</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">669.58</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">669.06</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">666.55</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">658.77</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">657.03</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">654.76</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">653.52</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f14" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">tests_run</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f14"
|
|
data-new_class="detail_graph-f14-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f14"
|
|
data-new_class="detail_graph-f14-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f14"
|
|
data-new_class="detail_graph-f14-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f14"
|
|
data-new_class="detail_graph-f14-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f14-0
|
|
pos-detail-num-graph" id="detail_graph-f14"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f14">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">tests_run</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.08</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">117</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">119</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">119</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">111</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">117</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">117</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">116</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">116</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">134</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">113</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">113</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">123</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">111</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">111</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">113</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">109</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">109</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">106</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">106</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">114</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">106</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">106</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">137</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">106</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">110</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">105</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">104</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">104</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">109</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">103</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">103</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">139</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">102</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">102</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">108</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">102</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">102</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.0%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">15</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">15</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">5</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">273</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">270</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">268</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">260</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">257</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">255</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">251</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">250</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">246</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">245</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">242</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">241</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">239</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">238</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">236</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f15" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">tests_failed</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
231
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(2%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f15"
|
|
data-new_class="detail_graph-f15-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f15"
|
|
data-new_class="detail_graph-f15-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f15"
|
|
data-new_class="detail_graph-f15-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f15"
|
|
data-new_class="detail_graph-f15-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f15-0
|
|
pos-detail-num-graph" id="detail_graph-f15"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f15">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">tests_failed</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " style="font-weight: bold;">
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.15</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,248</div>
|
|
<div class="pos-detail-num-pair-pos__perc">12.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,248</div>
|
|
<div class="pos-detail-num-pair-pos__perc">12.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">510</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">510</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">494</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">493</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">491</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">487</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">475</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">474</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">467</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">466</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">459</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">459</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">448</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">445</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">439</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">435</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">431</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">427</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">397</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">394</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">396</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">395</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">386</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">382</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">384</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">384</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">345</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">345</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,248</div>
|
|
<div class="pos-detail-num-pair-pos__perc">12.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1,248</div>
|
|
<div class="pos-detail-num-pair-pos__perc">12.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">286</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">286</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">294</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">293</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">345</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">345</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">384</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">384</div>
|
|
<div class="pos-detail-num-pair-pos__perc">3.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">396</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">395</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">431</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">427</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">475</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">474</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">494</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">493</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">491</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">487</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">459</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.6%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">459</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">510</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">510</div>
|
|
<div class="pos-detail-num-pair-pos__perc">5.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">467</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.7%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">466</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">448</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">445</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.6%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">397</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">394</div>
|
|
<div class="pos-detail-num-pair-pos__perc">4.0%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">245</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">240</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">237</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">220</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">209</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">208</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">207</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">203</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">201</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">196</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">195</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">193</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">192</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">188</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">187</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f16">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">is_weekend</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f16-
|
|
pos-detail-cat-graph" id="detail_graph-f16"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f16"
|
|
style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 60px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 141px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">1,814</div>
|
|
<div class="pair-pos__perc">18%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">No</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">1,794</div>
|
|
<div class="pair-pos__perc">18%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">false</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">1,750</div>
|
|
<div class="pair-pos__perc">18%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Yes</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">744</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">true</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">714</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">705</div>
|
|
<div class="pair-pos__perc">7%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-16"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f16">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f16">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">is_weekend<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON is_weekend:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">is_weekend<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f17" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">pr_merge_time_hours</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
7,168
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-orange"></div>
|
|
(72%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
7,206
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-orange"></div>
|
|
(72%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f17"
|
|
data-new_class="detail_graph-f17-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f17"
|
|
data-new_class="detail_graph-f17-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f17"
|
|
data-new_class="detail_graph-f17-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f17"
|
|
data-new_class="detail_graph-f17-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f17-0
|
|
pos-detail-num-graph" id="detail_graph-f17"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f17">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">pr_merge_time_hours</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " style="font-weight: bold;">
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.81</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">23.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">11</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">11</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">17.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">23.9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">10</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">49.3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">36.3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">22.5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">22.8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">57.9</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">35.4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">19.2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">27.3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">8</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9.36177898472251</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-9.027019744944743</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-8.308228581825766</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-7.1030690391439375</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-7.059727092622923</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-7.006124430437569</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6.838305726936926</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6.703728367814422</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6.50589909143207</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6.231654193443159</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5.87996876470333</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5.694184901925712</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5.556552991230175</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5.538880200143377</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5.3156573669204725</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair dim
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">0</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.0%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">119.6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">118.2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">115.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">114.2</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">113.8</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">108.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">107.6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">107.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">102.5</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">100.7</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">99.3</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98.6</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98.4</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98.1</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f18">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">label_is_high_quality</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f18-
|
|
pos-detail-cat-graph" id="detail_graph-f18"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f18"
|
|
style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 60px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 141px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">false</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,347</div>
|
|
<div class="pair-pos__perc">23%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">No</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,294</div>
|
|
<div class="pair-pos__perc">23%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,284</div>
|
|
<div class="pair-pos__perc">23%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">true</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">191</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">177</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Yes</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">173</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-18"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f18">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f18">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">label_is_high_quality<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON label_is_high_quality:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">label_is_high_quality<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " style="font-weight: bold;">
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.15</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.08</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f19">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">exam_period</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f19-
|
|
pos-detail-cat-graph" id="detail_graph-f19"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f19"
|
|
style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 60px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 141px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,068</div>
|
|
<div class="pair-pos__perc">21%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">No</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,015</div>
|
|
<div class="pair-pos__perc">20%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">false</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">2,013</div>
|
|
<div class="pair-pos__perc">20%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Yes</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">510</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">464</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">true</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">457</div>
|
|
<div class="pair-pos__perc">5%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 60px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 141px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-19"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f19">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f19">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">exam_period<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON exam_period:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">exam_period<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f20" >
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-numeric"></div>
|
|
<span class="text-title-tab">commit_message_length</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
696
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(7%)
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
696
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" style="color:#202020">
|
|
<div class="ic-missing-green"></div>
|
|
(7%)
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- BUTTONS -->
|
|
<div class="pos-detail-num-buttons">
|
|
<button class="button-bin" data-target="detail_graph-f20"
|
|
data-new_class="detail_graph-f20-0">Auto </button>
|
|
<button class="button-bin" data-target="detail_graph-f20"
|
|
data-new_class="detail_graph-f20-5">5 </button>
|
|
<button class="button-bin" data-target="detail_graph-f20"
|
|
data-new_class="detail_graph-f20-15">15 </button>
|
|
<button class="button-bin" data-target="detail_graph-f20"
|
|
data-new_class="detail_graph-f20-30">30 </button>
|
|
</div>
|
|
|
|
<!-- GRAPH -->
|
|
<span class="detail_graph-f20-0
|
|
pos-detail-num-graph" id="detail_graph-f20"></span>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f20">
|
|
<span class="bg-extra-column" <!-- expand if target in vertical layout -->
|
|
></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(PEARSON, -1 to 1)
|
|
</div>
|
|
<!-- <div class="text-med-bold">commit_message_length</div>
|
|
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
|
|
-->
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
|
|
<div class="text-small-bold color-light" style="line-height: 10px">
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.07</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.06</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.05</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.04</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_bot_user</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- FREQUENT -->
|
|
<div class="pos-detail-num-most">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">MOST FREQUENT VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">45.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">222</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">222</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">46.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">203</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">203</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">202</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">202</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">49.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">199</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">199</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">53.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">194</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">194</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">58.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">189</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">189</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">185</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">55.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">184</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">184</div>
|
|
<div class="pos-detail-num-pair-pos__perc">2.0%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">180</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">180</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">42.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">180</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">180</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">54.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">178</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">178</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">178</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">178</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">173</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">173</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.9%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">172</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">172</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">41.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">172</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">172</div>
|
|
<div class="pos-detail-num-pair-pos__perc">1.8%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MINIMUM -->
|
|
<div class="pos-detail-num-min">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold"> SMALLEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">77</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">77</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.8%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">14</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">19</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">19</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">12</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">13</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">5.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">18</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">18</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">27</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">24</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">24</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">19</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">19</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.2%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">24</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">24</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">36</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">36</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.4%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">11.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">25</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">25</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.3%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">12.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">49</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">49</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">13.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">46</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">46</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">51</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">51</div>
|
|
<div class="pos-detail-num-pair-pos__perc">0.5%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<!-- MAXIMUM -->
|
|
<div class="pos-detail-num-max">
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc">
|
|
<div class="text-large-bold">LARGEST VALUES</div>
|
|
<hr>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">117.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">115.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">111.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">1</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">110.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">108.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">107.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">106.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">2</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">105.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">103.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">3</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row row-colored">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">102.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">9</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
<div class="assoc-row ">
|
|
<div class="pos-num-detail-row__label text-label pos-detail-num-label">101.0</div>
|
|
<div class="pos-detail-num-source-pair color-source text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
<div class="pos-detail-num-compare-pair
|
|
color-compare text-value">
|
|
<div class="pos-detail-num-pair-pos__num dim">4</div>
|
|
<div class="pos-detail-num-pair-pos__perc"><0.1%</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<div class="isHidden container-feature-detail"
|
|
id="detail-f21">
|
|
<div class="container-feature-detail__offset">
|
|
<span class="bg-tab-detail-med"></span>
|
|
<div class="pos-detail-tab-icon-text__offset">
|
|
<div class="pos-tab-image ic-cat"></div>
|
|
<span class="text-title-tab">is_bot_user</span>
|
|
</div>
|
|
<div class="pos-base-stats-in-detail">
|
|
<div class="row-missing">
|
|
<div class="text-label color-normal pos-base-stats__label">MISSING:</div>
|
|
<div class="text-value color-source pos-base-stats__source">
|
|
---
|
|
</div>
|
|
<div class="text-value color-source pos-base-stats__source-perc" >
|
|
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare">
|
|
---
|
|
</div>
|
|
<div class="text-value color-compare pos-base-stats__compare-perc" >
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<span class="detail_graph-f21-
|
|
pos-detail-cat-graph" id="detail_graph-f21"
|
|
style="top: 75px;"></span>
|
|
|
|
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f21"
|
|
style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. -->
|
|
<!-- HEADER ROW -->
|
|
<div class="breakdown-row-header text-value" style="width:553px">
|
|
<div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
|
|
<div class="breakdown-hr"><hr></div>
|
|
<div class="pair__header color-source" style="left: 72px"></div>
|
|
<!-- Targets -->
|
|
<div class="pair__header color-compare" style="position: absolute; left: 153px">
|
|
<!--Cleaned-->
|
|
</div>
|
|
</div>
|
|
|
|
<!-- ROW CONTENT -->
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">human</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">3,209</div>
|
|
<div class="pair-pos__perc">32%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">9,416</div>
|
|
<div class="pair-pos__perc">94%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Human</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">3,132</div>
|
|
<div class="pair-pos__perc">31%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> HUMAN </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">3,075</div>
|
|
<div class="pair-pos__perc">31%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">bot</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">209</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">584</div>
|
|
<div class="pair-pos__perc">6%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BOT</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">200</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value row-colored" style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> Bot </div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">175</div>
|
|
<div class="pair-pos__perc">2%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">0</div>
|
|
<div class="pair-pos__perc">0%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div class="breakdown-row text-value" style="width:553px">
|
|
</div>
|
|
<div class="breakdown-row text-value " style="width:553px">
|
|
<!-- Name -->
|
|
<div class="text-label color-normal " style="position: absolute; left:10px;
|
|
width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
|
|
|
|
<!-- Freq -->
|
|
<div class="pair__col color-source" style="left: 72px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<div class="pair__col color-compare" style="position: absolute; left: 153px">
|
|
<div class="pair-pos__num dim">10,000</div>
|
|
<div class="pair-pos__perc">100%</div>
|
|
</div>
|
|
<!-- Targets -->
|
|
</div>
|
|
<div id="detail_cat_end-21"></div>
|
|
</div>
|
|
|
|
<!-- ASSOCIATIONS -->
|
|
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f21">
|
|
<!-- no background for target in vertical mode -->
|
|
<span class="bg-extra-column"></span>
|
|
<div class="container-detail-assoc " id="cat-assoc-window-f21">
|
|
<!-- CAT-CAT -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
CATEGORICAL ASSOCIATIONS<br>
|
|
(UNCERTAINTY COEFFICIENT, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">is_bot_user<br>
|
|
PROVIDES INFORMATION ON...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">is_weekend<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period<!----></div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
|
|
ON is_bot_user:</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">event_type</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">dominant_language</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">editor</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">os</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">ci_status</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">is_weekend</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">label_is_high_quality</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">exam_period</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.00</div>
|
|
</div>
|
|
<br>
|
|
<!-- CAT-NUM -->
|
|
<div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
|
|
NUMERICAL ASSOCIATIONS<br>
|
|
(CORRELATION RATIO, 0 to 1)
|
|
</div>
|
|
<div class="text-large-bold" style="line-height: 104%;">is_bot_user<br>
|
|
CORRELATION RATIO WITH...</div>
|
|
<hr>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">tests_failed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">tests_run</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.03</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">build_duration_s</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_deleted</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">commit_message_length</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">time_to_ci_minutes</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">pr_merge_time_hours</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row row-colored" >
|
|
<div class="pos-assoc-row__label text-label">lines_added</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.02</div>
|
|
</div>
|
|
<div class="assoc-row " >
|
|
<div class="pos-assoc-row__label text-label">files_changed</div>
|
|
<div class="pos-assoc-row__source text-label color-source">0.01</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</body>
|
|
</html> |