43679_InteractiveVisualization/VI_Lab_01_EDA
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
ed360f9967471ed37c11888bcc501141da58ea24
VI_Lab_01_EDA/claude/sweetviz_raw_report.html
sssilva1980 ed360f9967 a lot
2026-02-23 08:21:32 +00:00

11968 lines
1.4 MiB
Raw Blame History

<!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,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);}
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,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAACXBIWXMAAAsTAAALEwEAmpwYAAAKT2lDQ1BQaG90b3Nob3AgSUNDIHByb2ZpbGUAAHjanVNnVFPpFj333vRCS4iAlEtvUhUIIFJCi4AUkSYqIQkQSoghodkVUcERRUUEG8igiAOOjoCMFVEsDIoK2AfkIaKOg6OIisr74Xuja9a89+bN/rXXPues852zzwfACAyWSDNRNYAMqUIeEeCDx8TG4eQuQIEKJHAAEAizZCFz/SMBAPh+PDwrIsAHvgABeNMLCADATZvAMByH/w/qQplcAYCEAcB0kThLCIAUAEB6jkKmAEBGAYCdmCZTAKAEAGDLY2LjAFAtAGAnf+bTAICd+Jl7AQBblCEVAaCRACATZYhEAGg7AKzPVopFAFgwABRmS8Q5ANgtADBJV2ZIALC3AMDOEAuyAAgMADBRiIUpAAR7AGDIIyN4AISZABRG8lc88SuuEOcqAAB4mbI8uSQ5RYFbCC1xB1dXLh4ozkkXKxQ2YQJhmkAuwnmZGTKBNA/g88wAAKCRFRHgg/P9eM4Ors7ONo62Dl8t6r8G/yJiYuP+5c+rcEAAAOF0ftH+LC+zGoA7BoBt/qIl7gRoXgugdfeLZrIPQLUAoOnaV/Nw+H48PEWhkLnZ2eXk5NhKxEJbYcpXff5nwl/AV/1s+X48/Pf14L7iJIEyXYFHBPjgwsz0TKUcz5IJhGLc5o9H/LcL//wd0yLESWK5WCoU41EScY5EmozzMqUiiUKSKcUl0v9k4t8s+wM+3zUAsGo+AXuRLahdYwP2SycQWHTA4vcAAPK7b8HUKAgDgGiD4c93/+8//UegJQCAZkmScQAAXkQkLlTKsz/HCAAARKCBKrBBG/TBGCzABhzBBdzBC/xgNoRCJMTCQhBCCmSAHHJgKayCQiiGzbAdKmAv1EAdNMBRaIaTcA4uwlW4Dj1wD/phCJ7BKLyBCQRByAgTYSHaiAFiilgjjggXmYX4IcFIBBKLJCDJiBRRIkuRNUgxUopUIFVIHfI9cgI5h1xGupE7yAAygvyGvEcxlIGyUT3UDLVDuag3GoRGogvQZHQxmo8WoJvQcrQaPYw2oefQq2gP2o8+Q8cwwOgYBzPEbDAuxsNCsTgsCZNjy7EirAyrxhqwVqwDu4n1Y8+xdwQSgUXACTYEd0IgYR5BSFhMWE7YSKggHCQ0EdoJNwkDhFHCJyKTqEu0JroR+cQYYjIxh1hILCPWEo8TLxB7iEPENyQSiUMyJ7mQAkmxpFTSEtJG0m5SI+ksqZs0SBojk8naZGuyBzmULCAryIXkneTD5DPkG+Qh8lsKnWJAcaT4U+IoUspqShnlEOU05QZlmDJBVaOaUt2ooVQRNY9aQq2htlKvUYeoEzR1mjnNgxZJS6WtopXTGmgXaPdpr+h0uhHdlR5Ol9BX0svpR+iX6AP0dwwNhhWDx4hnKBmbGAcYZxl3GK+YTKYZ04sZx1QwNzHrmOeZD5lvVVgqtip8FZHKCpVKlSaVGyovVKmqpqreqgtV81XLVI+pXlN9rkZVM1PjqQnUlqtVqp1Q61MbU2epO6iHqmeob1Q/pH5Z/YkGWcNMw09DpFGgsV/jvMYgC2MZs3gsIWsNq4Z1gTXEJrHN2Xx2KruY/R27iz2qqaE5QzNKM1ezUvOUZj8H45hx+Jx0TgnnKKeX836K3hTvKeIpG6Y0TLkxZVxrqpaXllirSKtRq0frvTau7aedpr1Fu1n7gQ5Bx0onXCdHZ4/OBZ3nU9lT3acKpxZNPTr1ri6qa6UbobtEd79up+6Ynr5egJ5Mb6feeb3n+hx9L/1U/W36p/VHDFgGswwkBtsMzhg8xTVxbzwdL8fb8VFDXcNAQ6VhlWGX4YSRudE8o9VGjUYPjGnGXOMk423GbcajJgYmISZLTepN7ppSTbmmKaY7TDtMx83MzaLN1pk1mz0x1zLnm+eb15vft2BaeFostqi2uGVJsuRaplnutrxuhVo5WaVYVVpds0atna0l1rutu6cRp7lOk06rntZnw7Dxtsm2qbcZsOXYBtuutm22fWFnYhdnt8Wuw+6TvZN9un2N/T0HDYfZDqsdWh1+c7RyFDpWOt6azpzuP33F9JbpL2dYzxDP2DPjthPLKcRpnVOb00dnF2e5c4PziIuJS4LLLpc+Lpsbxt3IveRKdPVxXeF60vWdm7Obwu2o26/uNu5p7ofcn8w0nymeWTNz0MPIQ+BR5dE/C5+VMGvfrH5PQ0+BZ7XnIy9jL5FXrdewt6V3qvdh7xc+9j5yn+M+4zw33jLeWV/MN8C3yLfLT8Nvnl+F30N/I/9k/3r/0QCngCUBZwOJgUGBWwL7+Hp8Ib+OPzrbZfay2e1BjKC5QRVBj4KtguXBrSFoyOyQrSH355jOkc5pDoVQfujW0Adh5mGLw34MJ4WHhVeGP45wiFga0TGXNXfR3ENz30T6RJZE3ptnMU85ry1KNSo+qi5qPNo3ujS6P8YuZlnM1VidWElsSxw5LiquNm5svt/87fOH4p3iC+N7F5gvyF1weaHOwvSFpxapLhIsOpZATIhOOJTwQRAqqBaMJfITdyWOCnnCHcJnIi/RNtGI2ENcKh5O8kgqTXqS7JG8NXkkxTOlLOW5hCepkLxMDUzdmzqeFpp2IG0yPTq9MYOSkZBxQqohTZO2Z+pn5mZ2y6xlhbL+xW6Lty8elQfJa7OQrAVZLQq2QqboVFoo1yoHsmdlV2a/zYnKOZarnivN7cyzytuQN5zvn//tEsIS4ZK2pYZLVy0dWOa9rGo5sjxxedsK4xUFK4ZWBqw8uIq2Km3VT6vtV5eufr0mek1rgV7ByoLBtQFr6wtVCuWFfevc1+1dT1gvWd+1YfqGnRs+FYmKrhTbF5cVf9go3HjlG4dvyr+Z3JS0qavEuWTPZtJm6ebeLZ5bDpaql+aXDm4N2dq0Dd9WtO319kXbL5fNKNu7g7ZDuaO/PLi8ZafJzs07P1SkVPRU+lQ27tLdtWHX+G7R7ht7vPY07NXbW7z3/T7JvttVAVVN1WbVZftJ+7P3P66Jqun4lvttXa1ObXHtxwPSA/0HIw6217nU1R3SPVRSj9Yr60cOxx++/p3vdy0NNg1VjZzG4iNwRHnk6fcJ3/ceDTradox7rOEH0x92HWcdL2pCmvKaRptTmvtbYlu6T8w+0dbq3nr8R9sfD5w0PFl5SvNUyWna6YLTk2fyz4ydlZ19fi753GDborZ752PO32oPb++6EHTh0kX/i+c7vDvOXPK4dPKy2+UTV7hXmq86X23qdOo8/pPTT8e7nLuarrlca7nuer21e2b36RueN87d9L158Rb/1tWeOT3dvfN6b/fF9/XfFt1+cif9zsu72Xcn7q28T7xf9EDtQdlD3YfVP1v+3Njv3H9qwHeg89HcR/cGhYPP/pH1jw9DBY+Zj8uGDYbrnjg+OTniP3L96fynQ89kzyaeF/6i/suuFxYvfvjV69fO0ZjRoZfyl5O/bXyl/erA6xmv28bCxh6+yXgzMV70VvvtwXfcdx3vo98PT+R8IH8o/2j5sfVT0Kf7kxmTk/8EA5jz/GMzLdsAAAAgY0hSTQAAeiUAAICDAAD5/wAAgOkAAHUwAADqYAAAOpgAABdvkl/FRgAAAQ9JREFUeNrslrGRwjAQRR/MFeASoANTwd11oESBIuMSXAF3leCLFChAHUAJ7gDowB34EjGjYbBsbOFhGDZxotmn/bt/5VnTNEwZcyaO1wd+dB1QUiyARY9clTa2HgVUUghg1/PyFbAaW2HmviVwDpzbAKmSYquNzUMJZyFbKCn2wBfwrY09BM75ScoQNNbQ+L1bKym2g4fGqyIB0muQNrYCCk/+FFgD+SggcASSGxdZaWNL12e/DYwFFi32OEX14SVcFY83/o2JbYuTNnYZDeikO/Sc1CiS5lNL+gN8dkiax5Q061jidZv3hkq6jCHp072HF1PvlRRDd+tdwF+3zpI7C/kb9Dy9f6LewKcA/g8A6wNOq1py0yoAAAAASUVORK5CYII=);}
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-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-::before { content: url(data:image/png;base64,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);}
span.minigraph-f6::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk4AAAB4CAYAAAAE5X1sAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAEQtJREFUeJzt3QuUXVV5wPF/SiGWNgQjFam0tVqlAipRqFFRcamID3SrbOr2gWgFsZGKaI2pVOhSC7GoVIkKVuVReyIntVse8hZFUBQVRRFRVB6BQgUhYMUAdrq2a4/rMk3CGTOTe27u/7fWXTP3PO797snMnC/f/s7ZcyYmJpAkSdL9+90O20jSWEkx7AMsAx4EnAa8HngXcCBwRtmkafOs/68zxfCHwMuBVwOvatp8RYphe+AE4InA1cABTZu/nmJ4GrAC+AWwd9PmK2chnrcBhwDzgPOB/YE/GEY8KYbNgfcDrwTm1H+nA4BthnV8BmI7BYhNm+ekGHYGPg7sCHyrHLOmzT9KMewLfBS4FtirafPNsxTL2cCeA4veV4/P0GIadb8z7AAkqU9SDCVZOhE4EvhL4CnAweVEWJ8/AtilnIhTDAfOYhwlObkOeBmwsCYHkye+u4GdgIuBk+rytwIlsfkEcFCK4QEpho+lGObMUDzPBt5dk6VdgcfV9xtKPDWhfAXwTGAR8Kya2A4rnl9LMbwQeMnAopKgfKfGcwtwbF1+WN3ukvJZUgzbpBiOYeZtBywGHlgfh/UgppFm4iRJ97UbsFk5uTRt/gHwWaBUK35Z/yd+Z61EHQ3kWTx4dwF/Ws7FU5Y/HTi5aXNJqj4GPLpWpsrf8xuA/6rxH1UShxmsjJVkZEnT5nOaNl8FfBPYdljxNG0+sWnzgqbNJY6banz3DPH4lKRpK2D5ZCJSkrOabH+8xnNC/VmixlN+nv67jv4cD5zK7CROP2nafHt51GXDjmmkmThJ0n09GPj5wAl1NVBOvBfV78vJ+a/L0F3T5nKCmRVNm+9dx+s/uCZvk7FR4/twTeTKEOP1wPZNm0+YwXi+2LT5A+X7FMMOZSgH+NSw4pmUYri8Vk1+WIeZhhnPsjqEeV59XmJhSjxbphi2BMqxvALYrw59luTm8zMZTIphi5rk/3OK4YYUw8qa7A4tpk2BiZMk3b+Jps2vLScY4JMlsQJenGK4PsXwhp7E9zlgQR1+KcOKZ6UYrkkxnJ5imDtTb5RiKBWM8l7Hr+ekutHiAZ5Xe3jK0OFrhxVPimF3IACHdti8xFOGy7aqsZdh0FUphutSDGUocaaU5P+NwJvqENxjgSOGHNPIM3GSpPsq1YutUgyTfx/LiWSy8vMQ4C21b+YxdRjtnUOIb+uB2JiMr2nzr2pl5bDal/WGgeRig6UYSuJxLvCVehyGFk+K4bGl76pp86qawF1Qh+mGdXwOq9WdH9cmdGpzOlPiKdXMMgw76V/rxQdL6s9T+Vylp20mlCHJ3LT5/KbNX60Vt52HHNPIM3GSpPv6GnBvbSB+JFCafb9Q172znnDvqj01tw40bW8sXyxX2aUY/gR4HfDdps231mSiJA43N20+q540b69XkZXvN0iKoVw9d2btETqkJpdbDyueWmH6TIrhiSmGUkV6Uu27GlY8pWn+UeXCAeBv67Ly/Ovlyr4Uwx/XqyMnf5aoze2nNW2+vFaHbqu9dDMRT/Hnpa8rxfCiFMPDgefUxu9hxjTyTJwkaUDT5lvqSbBchXUp8GXgI3X1gU2bL6kn6JtrkvXBjXwA31L/dn8PeGqNdTL2L9bEjtr8XBKdcvuCkihsqJfWpuJy9dpP6wn1tiHGU/qrjgNOBy6styNYPqx4mjbf1LT5mvIYqHBdU/vhymX/V9ZeqzcN7HNivQqwKFevlarQz+rP1wZr2vzdmsQtr7cduLom/0OLaVMwxxtgSpIkdWPFSZIkqSPvHC5JHdQrr5aWG2M2bV4z7IPWt3j6GJPxjN4xGgVWnCSpm3KCObx+7YO+xdPHmIxn9I5R79njJEnd7wq9ujYTT948cJjKDQpX9SiePsZkPP0/RvOAGzfG3I8zxaE6Seqm3MOIepLpk77F08eYjKffx2j7Oh3OSDBxkqRuyiXZ9KiaIo26eTVhG6nfJxMnSZqeO5s23+FBkzZMimWGmtFjc7gkSVJHVpwkaRpWLly+esWyyVG70TGxZMHGnhpG2iRZcZIkSerIxEmSJKkjh+okbdJSDHsAF9SnE/Wy5+OaNr87xfBo4FhgEXBrXf6eIYcsqcesOEkaF+U2Ag8C3lBmiE8xvAI4p14OvROwH/C2FMMBww5UUn9ZcZI0LlY3bf45cHqK4VvAYcB2wMH19gLXpBiOAOYPO1BJ/WXiJGmspBgeCewAvB84cPCeTE2bP7CW7cscXnPrzfokjTmH6iSNi1UphjLX3JXAadPYr8wcv7qH03ZIGgITJ0nj4snAY4Atmza/ErgaeHCK4TeVpBTDG1MMb5qy35F1+K70SEkacw7VSRoX19Uep0mn1yvp3pdieBfwcKBcUbdkcKemzWuANaM6PYSkmWXFSdJYatpcht+eA+wI/AA4GTi63JJg2LFJ6i8rTpI2aU2bvwCsdbqRps3fBnbf+FFJGlVWnCRJkjoycZIkSerIoTpJmoZ9Lls8f/DeT5LGixUnSZKkjkycJEmSOjJxkiRJ6sgeJ0mahpULl69esexnI3fMJpYsWOstGSRNjxUnSZKkjkycJEmSOjJxkiRJ6sjESZIkqSObwyWNhRTD/sBRwBXAbsC5wH7AHnVy3+2B84D96wTAkvT/mDhJGicPBI4EbgXOBt4K/B3wlppIZeDtwNLJHVIMc4HymDfc0CX1gYmTpHFyZ9Pm82pCVJKkI4C7mjYfV5c9F9h8yj4liTp8KNFK6h17nCSNq7X9/bsZuGHKslKhml+H8iSNOStOksbJvBTDs4GfAnvXStKSFMNBwFnAKcBFwKGTOzRtXgOsSTEMN3JJvWDFSdI4ubv2NH2pPkpTeAIOAa4ErnVYTtL6WHGSNE7WNG3ec8qyU+tDku6XFSdJkqSOrDhJGgtNm08AykOSfmsmTpI0Dftctnh+0+Y7PGjSeHKoTpIkqSMTJ0mSpI4cqpOkaVi5cPnqFct+NrRjNrFkwZyhvbkkK06SJEldOVQnSZLUkUN1knopxXBAmQ6lzhF3VZkGpWnz+fezTyyT8jZtfnyKYRdgz6bN713P9vuXu4c3bd5mVj6EpE2OFSdJvZNieALwUeDNwMOATwOfTTEsWN9+TZtbYLf6tCROb9s4EUsaF1acJPVRqTL9Cri8afNNKYb3Ab8ok/OmGBY1bb40xXAD8I9Nm49PMXyuzjX3E+CtKYa3A58sL5Ri+GXT5gekGJ5f56Yrr30eUKpNxeYphpKYPQ/4dpn8t2nzbcP9+JL6yoqTpD46E/g88L0Uw0nAU5s2HwN8A9g9xbAQ2A54QYqhXGX2JODcgf3/A1gMlMvftk0xbFurVuU1Hgc8AijJVfF7QHmPXYEdgX0HA0kxzE0xbAXM27iHQFIfmThJ6p2mzXc3bd4LeHFddGqKYUWtFD0FKNWjk4Fn1IRnS+DCgf3vqRWqiabNq4FF5e9d0+bjmjb/GHgucFzd/I6mzWc0bS59VGXdQ6aEsxQor7Fq4x0BSX1l4iSpd1IMz0oxvKRp8zlNm/crFSfgr4CbBxKnT5ShPOBw4MtNm0ui1FV5nTLUtzZT75N0JDC/DvFJGnP2OEnqo5KkHJNiKHPCfQd4Qu15yjWReRRwcWkYB5YB71jLa6wBfj/FULb9aqk+pRgOAs4CTgEuqonXejVtLq+zJsUwO59U0kix4iSpd5o2nwC8CzgeuK5eXffKps3X1oTn7KbN99bEiTqEN1XpkSrbX1oazEshCzikNpFfWytVkjQtcyYmJqa3hySNodogvnrlwuXcu1npJx8Op1zRpvY7Bcxv2lyqyyPBipMkSVJHJk6SJEkd2RwuSdOwz2WLR2pYQdLMsuIkSZLUkYmTJElSRw7VSdI0rFy4fPWKZWUml+HwqjppuKw4SZIkdWTiJEmS1JFDdZJ6J8WwB3BBvUP4XgPLywS815d55po2P2wd++4PHN20eZspy/8E+FqdFPhZa9tGku6PFSdJffbMFMNDB56/Atjst3mhps1l6paHNm1eNXPhSRo3Vpwk9dlXgFcBR9XnrwYuBB6WYijznhwL7AvcDry3afOH6nZzUwxlMt8nA+cC+wF/ViYMTjGUr7+RYngAUPZ7GVC6vt/RtPnfNv5HlTQKrDhJ6rMTa7JUEpzHA9sDp9V17wR2B3YDDgX+JcXwtLpuMhl6ErAIOHg973EYsBPwGOD1wMfrkOCvpRjm1jm15s3qJ5U0EkycJPXZZ4HtUgyLagJ1CrCmrns+cHLT5u83bW6By4Fn1HWrmzaf0bT5ippolf3XZW9gIfAtYAWwBbDzwPqldSJSh/gkmThJ6rVfAp8GDgBeDpw0sO4e4H8Hns9Zx2tMrGfd5Pp/B3apjzKUd/HA+iPL7O212iVpzFlxkjQKw3WvKX1MTZu/PLD87NL/lGLYIcUQapXonLpufoph7xTDjsALaq/UupxTq07bAVsD7xlMtJo2r6lz0905ex9R0qgwcZLUazVZuroMy01Z9Z6aEF0CfBg4pGnzZIJ0I/A3dd2ltd9pXY6oQ4KnA+cB1wJ3zeJHkjTC5kxMlCq1JGl9aoP46pULl3PvZuWCvuFwyhVtar9TwPxa1R0JVpwkSZI6MnGSJEnqyBtgStI07HPZ4pEaVpA0s6w4SZIkdWTiJEmS1JGJkyRJUkf2OEnSNKxcuHz1imVlLmBJ43jbDCtOkiRJHZk4SeqVFMMLUwwv28jvubROzyJJ6+VQnaTeSDEsAo4Bdq/P9wKOAnYAfggsbdp8Rl1X5qfbomnzKSmG/YGjmzZv81u+9ZeAM1MMC5s2Ow4naZ2sOEnqkw8C/9S0+cYUw07AqcCna+L0EeA/UwyPrduWxGnfDX3DFMOcps0XARcDh2/4R5C0KbPiJKkXaqL0+NJ/XRcdAHy/afOR9flHUgwlUXpdimEL4NV1v7OAFcDmKYaSZD0P+Dawd9Pm21IMzwSOBbYHvgC8BtgZuAA4H9ga2LXMJwyclGI4tGnzr4Z3JCT1mRUnSX1Rhumub9p8e33+F8AVU7Ypzx8FvLkmOqUi9dK6rsy8e1JNgkq/0r4phgXAZ0oVq1atNgf+YeD1PgXsWb//Rk2iyuv/Rophbp2MdN7sfXRJo8LESVJfbAsM9heVy5nXeklz0+a7gLuBe5o2/09dfEfpf2rafBXwY+AhwNOBkvR8CPgesAfwhIGXagd6mn5av07tk1paZ3BfNXMfVdKoMnGS1BclEdpy4PlVdUht0M51eRcl6Zqo3z8N2KVWseI6tp9bv5akbFAZKpxfh/okjTl7nCT1xY9Klag2a5eE53jgoBTDO4CTa+/Sk4GD6/ZrgEemGEqlal2+AvwcOBB4b20mv2kd1aM/ql9/MriwaXN5nzUpll50SePOipOkvriwVpx2qgnLd4EX1WTnB8Bi4MVNm79Tt5+82u5j63rBps03Ay+pFaerarVpcv+pyjbfbNp866x8OkmbBCtOknqhJCwphtLcfRDwxrrszHJ/pXVs//kp/UgnDKzbdeD7c4HJWxgMmto/Vd73/TPwUSRtwqw4SeqTJcAzUgyTV7ptFCmGvweuadpcrrKTpHUycZLUG/UKt6cP4Qq2Ur1KG/k9JY0gh+ok9UrT5luAWzbye17Sddt9Lls8v2nzHbMbkaS+suIkSZLUkYmTJElSRw7VSdL0zPOeTtKMGMlpjEycJGl6f+SdekWa+d+tkekbNHGSpG5urNOu3OkBk2Y0aSq/WyNjzsTE5FROkiRJWh+bwyVJkjoycZIkSTJxkiRJmllWnCRJkjoycZIkSerIxEmSJKkjEydJkqSOTJwkSZI6MnGSJEnqyMRJkiSpIxMnSZIkuvk/3Rp/O2jRo0oAAAAASUVORK5CYII=);}
span.detail_graph-f6-::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-f8-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-15::before { content: url(data:image/png;base64,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);}
span.detail_graph-f8-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f9::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-0::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-5::before { content: url(data:image/png;base64,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);}
span.detail_graph-f9-15::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAGClJREFUeJzt3Q2wbWdd3/HfNbGx1LwYAWsnoh1bHBIHyUwhpUpoy0uBAWeNuNou0CYKCaQaZQyTlGlq7egYMhbsNCZFXjoJwVmpy7HLkiapCBJbRG0aGQRSO6AhEwqJEEhCiUHxdJ47z2XOXHNvMJ77svf/85nZ95yzz9n77mfvfc757mc9a519Ozs7AQCo7KuO9Q0AADjWBBEAUJ4gAgDKO/FY3gPTOOxL8jeSPFj+kQCA7XFykv87L+vGLFQ+pkHUY+juY3wbAIC9d0aST2RDHOsgenDXnWaWCAC2Y3bo7k37vX6sg+iAB+dlfeBY3wgA4C9nGodsIouqAYDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIACjvxPL3QDH7rrxvZ6+vc+ey0/ft9XUCwNFkhggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8k78Su6BaRx+Mck4L+u+aRy+PcnbkpyZ5ANJzp+X9WPTOPzjJG9K8vEkL5iX9Z7y9y4AsB0zRNM4fHeS79l1Vouh30tyVpJPJ/m5fv7l/et+K8nLpnF4/DQO/+7I3XQAgKMQRNM4nJLk6gPRM43D1yR5RouieVnvSnJtknN3XVebHbo32T/z9OYk/2WPbicAwDHbZHZlkncn+bUkP5rkif38B/vb+5M8bhqHxyX52SQfTtI2lV2f5A/nZX3PI13pNA4nJWmnk/d2OAAAezhDNI3DdyUZkvzYV3A9O/Oytk1pbUbp+Umel+TuaRzumsbhPz7C17+ux9Tdj+E2AwActU1mbU3Q1yf5gyQ39PM+2t+e1t+2APr8vKwP7brcW5O8KsllrauSPHUah7MPuu4rkpya5Iw9HAsAwJ4H0flJnpzkaUl+pJ/XPr4tyQXTOHxTkvOSvHfXZV6e5J3zsn6wzRol+WySP05ywu4rnpf14XlZH9i16Q0A4PgLonlZPzUv653t1BdKp7//ir7L/R1JntDXFh24zHVJ3tA/bHuY/XaS+5LcfjQGAwDwWOzb2WkTOcdG34utrSU6tc8YcYTtu/K+PX/Ady47fd9eXycAm2na0N/tjlQNAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKO/R/pYZR4nd4QHg2DFDBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOWdeKh7YBqHr07yxiTfl2RfkncmuSDJ45Ncm+ScJB9t583Lets0DucmuSHJF5K8ZF7WO8rfuwDAZgdRkpcleXmS5/TI+fUkFyb5ziRfTHJWkkuTvD3JmUle2z9+UpJXT+NwWZKr2mXmZd05imMCANibTWbzsl43L+vp87LenuRTPYL+JMmzk1w/L+tdSd6S5CnTODyhX9cnknwyyQlJXp/kfWIIANjkGaL9pnH4YJ8Bem+SNyW5OsmD/dP397ctiK5JsiZ5OMkbkjx9XtbXHOI6T0rSTifv6WgAAI7QouoXJXl+ku9I8oOH+JqdeVlvSnJ635Q2JrllGoc7p3G4sQfQbq/rMXX3Y7nRAABHJYimcXjqNA7Pm5f17nlZ39PXELXNZZ9Oclr/slP623vbP/OyfqnPFF2e5OIkF+2Kqt2uSHJqkjP2dDQAAHs8Q9RmhH55GodzpnFosz7PTNLWE92a5LxpHNri6Vcm+dC8rJ9pF5jGoQXTPfOy3tLXEX2uL8hu73/ZvKwPz8v6wK5NbwAAx2UQ/UKSn09yY5Lf6Lvdt/VDl/TLfSTJs5Kcf+AC87Le2meG0hdV39xngVogAQBs1qLqeVn/rO9K30673dV3xT/U5fbvYj8v6zuStBMAwHHNkaoBgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlnXi4e2Aah0uTvCbJyUneneT8JF+b5Nok5yT5aJIL5mW9bRqHc5PckOQLSV4yL+sd5e9dAGCzg2gah+cl+akkL07y8SS3JGmB9K1JvpjkrP7x25OcmeS1/eMnJXn1NA6XJbkqyYXzsu4c3WEBAOzNJrMWPZfNy/qr87L+fpLbk3xDkmcnuX5e1ruSvCXJU6ZxeEK/rk8k+WSSE5K8Psn7xBAAsLEzRPOy3prk1j5b9G1JXtA2hSX5gSQP9i+7v79tQXRNkjXJw0nekOTp87K2zW1/zjQOJyU5qW+KAwA4vhdVT+PwjUluSvLmeVnfc4gv25mXtX3N6X1T2tg2sU3jcOc0Djf2ANrtdT2m7t6bYQAAHKEgmsahBc67krw/ySX97E8nOa2/f0p/e2/7Z17WL/WZosuTXJzkov75Fx101VckOTXJGX+J2w4AcGSDaBqHtjfZzX1NUNv0dco0Dqf1zWjnTePQFk+/MsmH5mX9TL9MW190z7yst/R1RJ/re521979sXtaH52V9YNemNwCA43KG6KVJnpHkuUn+KMln++mSfrmPJHlW3xV/97qjNjOUvqj65j4L1AIJAGDjFlVfl6SdHslzDnO5/bvYz8v6jiTtBABwXHOkagCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJR3Yvl7gCNi35X37ez1de5cdvq+vb5OAGjMEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUd+Kj3QPTODwhycuSnJfk++dl/fA0DmckuTbJOUk+muSCeVlvm8bh3CQ3JPlCkpfMy3pH+XsYANjsIJrG4eQkdyX5QJKzk+zrn3pDki8mOSvJpUnenuTMJK/tHz8pyauncbgsyVVJLpyXdefoDAkAYG83mT2U5JtbGx10/rOTXD8va4ultyR5Sp9Jatf3iSSfTHJCktcneZ8YAgA2doZoXtY/TXLvNA7fctCnnpjkwf7+/f1tC6JrkqxJHu6zSE+fl/U1B1/vNA4nJWmnNgMFALA1i6p35mW9KcnpfVPamOSWaRzunMbhxh5BB7yuh9Tde/j/AwAc1SD6dJLT+vun9Lf3tn/mZf1Snym6PMnFSS7qn3/RrstfkeTUJG1xNgDARgbRrW2vs2kc2uLpVyb50Lysn2mfmMahrS+6Z17WW/o6os/1vc7a+/vNy/rwvKwP7NrsBgCwcUF0Sb/sR5I8K8n5Bz4xL+utfWYofVH1zX0mqAUSAMDmHYeomZf1zl273KfvXfacw3z9/l3s52V9R5J2AgA4bjlSNQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKO/E8vcAG23flfft7PV17lx2+r69vk4Ajm9miACA8h7zDNE0Dt+b5MokX5/knUleleQnk1yY5L+2L5mXdc9fvQMAHBczRNM4tAi6LskVSZ6R5DuTXJxk7B9/a5KnTeNw7jQOLZAAALZuhujpSU5I8rY2CzSNw68kOTfJHyf5eJIH+8zRTyd58R7fZoASa9eO5ho56/Go7rEG0ROTfH7XJrH7kzwhyf/o778nySvaJrR5We89+MLTOJyUpJ1O7medPI1DKjvx7Kv3/DqncTjF/7M399vR9EtnX92+h/bU9/7uD526Tf/P0fy/Hun/2bbv16P5fx2tx4hj6uRNvP/37ez8xV+ATOPwz5K8cV7Wx/ePfyLJC+dlPWcah69O8tIkz+mzSM9rM0Xzsv6HXZdvX/+v93gsAMDx42/Oy3pntnyG6NNJTpnG4avmZf2z9n6SAzNBfz3JJUl+rEVT658kS5IvB1Ffe/TGXpF3Jzmjb2arxNg97p7zNfhe971e9Xv9vmyQxxpEv5PkT5O8ehqHdyX57l3B8+N9gXX7/BeTfKbNRO2+8LysDyd5eNdmsgfnZX0ghRj7fh73Qqo+56uOuzH2VH/ct38vs3lZ2wzR+Ulem+R/JvnNXUF04bysv5Xk9iT39Hj694e4qhZG/6a/rcbYPe7VVH3OVx13Y+we9+1eQwQAsE0cqRoAKO+o/C2zaRz+TpLzkvzteVlfcLijXc/L+oVpHNoi62uTnJPko0kumJf1tm15tA417myRaRzaYRhe1h/375+X9cOHe1yncfjpfqiGLyW5al7WtvB+I03jcGmS1/SFhe/um5e/dpvH3vcubTtKfF9fM9ie1xckefw2j/tg0zj8YjtA7bys+6Zx+PZ2rLYkZyb5QHsezMv6sX7Ykava3uJJ2tqSn5iXtd1HG2kah/+W5Pm7znpDf8wrjL1NKvyLJD+Y5H/Py/riCj/npnG4tv9s3+1jSf7+Jo/9iM8QTeNwUZJbkjy3/3B8tKNdH/iGaguyz0ryviRvz5Z4lHFvhWkcWgjcleSfJjl716L6R3xcp3F4Yb8PXtJ/of7kNA7tG2rjTOPQDjPxUz2C2guB70hyaYGxt/h9eT/cxt/t3+8XFhj3l03j0HYu+Z5dZ7Ug+L0+9rbu8uf6+e2X5wv79/6/SvLmaRy+KZvrG5P8UJKv66fLC439jX3sbc/qdjiaFHnO//Ndj3c7vTfJL2/62I/GJrNf6rvi/6fDHO36/yQ5cLTr5tlJrp+Xtf1SfUuSp/QZh21wuHFvi4eSfHM/5MJuh3pc2/m/OS/r78zL+p7+g3RT75P2w+CyeVl/dV7W3+87F3zDto99Xtbr5mU9fV7WNt5P9fvhT7Z93AcdgPDqA7/4p3H4mv6C52197Nce9PPtpnlZ75iX9fok/69H5CYH0R/Oy/q5durnbf3Yp3F4Yo+hi+Zl/ZV5WQ/sYr71z/l5Wb+w6/FuQftd/bm/0WM/4pvM5mX9o0Pshneoo10f+NyB4zYcOKpp+9z+69pwhxv3VpiXtR1y4d5pHL7loE8d6nHdff5G3yfzst6a5Nb+nP+2JC/or4p+YNvH3kzj8MG+maS9YnxTj4StH3ffBN42j/5akh/t48tBY3/cNA6P659rx2jZ+LFP4/BX+qb/n5nG4a1J3t9nS7Z+7H2zUHtx+0+mcWjP8w/1zcRb/3PuIG1v8//cIqhH4saO/YgE0TQO1/Qp9ObF87K2P+nxlTjcLm/bvDvcNo/tsY59o++TaRzaq+ab2iaB9oroEMfl2MaxvyjJk/uMcNs8svXjnsahvToe+maCv/coX75VY++3+4eTtNnQz7fZgbYu6DBf+xc5/3j3df22t01D/7ZvJvyZImPfr6+XalsC/kEObWPGfqQ2mbWDMz6tn257tKNd9493H+26fe60Xec3f+5vom2ow4172x3qcd19/sbfJ9M4nJ7kXQe9Wt7qsU/j8NS2fmpe1rv7lPiv92nyrR53d3mfJfmDJDf089qC0hw09jYz/NCWjb3NkKzzsr57Xtbfbu8naYvJK4y93e6H5mW9Zl7W3+2P/VOLPOcPaLOhH5iXtUVhNn3sR2SGqB+4sZ0e69Gu2yaH86Zx+I0kr2xTkfOytiNeb4PDjXvbPeLjOo1DO/+Hp3F4Zv+jv0/tU88bZxqHtjfZzUk+2fc0a/FbYext8fg10zg8t88UPLMvsPyrWz7u9AX0bc1Q8w/7TMGT+58sumAah4/3PXLaZsSmjf1f9r3Q2rj/Wj+47Sb6W209yDQOQ18X8o+StMc6Bcb+/v4XFy7ue1W2++D2/lzY9ud8+rq5C/sC6wM2+ufcMTsO0aMc7fqSfts+kuRZ/eu2wqOMe9sd6nG9qR/NvC0wn9sPzHlZ/1c200v7gtLn9jVvn+2nbR/7LyT5+SQ39l+I7RfE1QXG3b6nP9X+gGX/I5b7X/X291/R11Pd0ddLtFfTzVv7+P97+8PXfdfkFtAbZ17Wtm7mR/pj/YE+M/bjRcZ+f9+r8FU9Bj/Tn+9b/5zvXtUXxbdDTRyw0WN3pGoAINX9f0dvBoyIrPz1AAAAAElFTkSuQmCC);}
span.detail_graph-f9-30::before { content: url(data:image/png;base64,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);}
span.minigraph-f10::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk4AAAB4CAYAAAAE5X1sAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAEW5JREFUeJzt3QmUJVV5wPH/ZCIjKIsEUXNITDQuLEFG3GUJIXEBhCtwlUtOEBQQHAkuKIwieNxg3HAbCCDKcmKN1qgFouCCUUEhSkBF1siiAoKsIyKMgp1zOV97HiNDqkMz/d7r/++cPv2WelVdd6q7vvnuV/XNmZiYQJIkSf+3P++xjCTNKiWnXYFFwF8AXwJeC7wb2Bf4cl2kabux/V9nyemtwBuANYGzgD2BRwMnAs8Ffgrs07Td+SWnrYAlwG+BlzVtdyljpuT0OSA3bTen5LQJcAKwEfDDOjZN211ZcnoF8O/Az4CXNG13I2Ok5PRnwCHAq4HLmrbboeS0wWw8JupASJJCyakGSycBRwDPAV4IHFBPnPH8ycBm9eRQcqqB1FgpOf0z8J4Ilp4FPAOogdSHgN8BGwPfBU6OjxwU738K2K/k9MiS0/ElpzmMgZLTjsDOAy/VoOmiGIebgU/E64fGcucBu5ec1is5fYTx8WFgAfBmYI94bVYeEwZOknR/zwbm1hNk03ZXAKcC9X/Qd0c24Y7IRH0Q6MZw8OqJ8OCm7b7WtN3lwAXA44CtgVOatvs5cDywYcnpsXEeuQ74ZYzbkfUkOg4ZuZLTWsDiyeCoBgARPJ8Q43BiHBvEONTj41cxm3MccBpjoOS0fgRN+zdtd2rTdrfGW7PumKicqpOk+6snid8M/JFfBtSTwTnx+JvAa+rUXdN29SQ5Vpq2+zbw7ThhPq1OO9XpFmCvCBqJcSDG5egIIJdHBuLZTdvVab5xsCimKr8BHBjHBiuMwxolpzWAo4CLgTpFdwpwddN29VgZB8+NAOiVJacaSP6kTsvFeMy2Y8KMkyT1MNG0Xa3tqCfIT9fACnh5yekXJaf9x3EES05PAL5SMycPEgDUcanLrBvTNXU688yS0zUlp9NLTvMYUSWnLYAEvKnH4nUc6hRezVC9CKjTndeWnH5ecqrTVaPuMXUfYzpux8hAfmC2HROTnKqTpPurdStrRTEscTKczCw9Pmo8ai3H39fzK3DYuA1gyame9L4OnBv7Ozku6wyMCZPj0rTdvZFlODTqwSaDye0YXYfGlOxVUehMFECzwjjU7ORdA5/7ZFxMcHAcH5uWnOYz2uq/811N2x3dtN2FMR6bzsJj4j4GTpJ0f98H7omi1qfE/7C/Fe8dFieBu6IW6BZgLApeJ5Wc6tVzZ0R9yhsiiFwnpu9eVXL6a2DvOl3TtN0t8Zla63Jj03ZnxpTO7XFFVX08qmpx/FPrhQDAv8Vr9fn5dZqq5PRXdTwGjo3qX+pVmE3b/TgyNLdFbdwojwMRQC8vOR1QcvqbyMRdMAuPifsYOEnSgKbtbo6TZr0y6AfA94Bj4u19m7Y7L04aN0aQ9bExG8BdogD6n4Cb4uR/W2Se6jnjEmDLGKPBuqgaUBKFwDXwqpeq15PmSGra7oam7a6pXwNZlGuivq3eiuDSqOc5cOAzJ0VNT1WvqPsv4NY4XkZW03bL4orB18YVhbfE8TCrjolJc7wBpiRJUj9mnCRJknrydgSS1ENcDbSw3hizabt6mfWs5Vg4DrP5mDDjJEn91BPD4fF9tnMsHIdZe0xY4yRJ/e8ivSwKXCdv+jdb1R521zoWjsM0HBP1c9eP0l3FnaqTpH7qvY2Ik4Mci0EeEw9tLDaIFi0jwcBJkvqZ7M9lxkma3izVSGVwDZwkaWruaNru1w6a9NCUXO+jOXosDpckSerJjJMkTcHS+YuXLVk0OWs3MyYOXnes2rxIo8SMkyRJUk8GTpIkST0ZOEmSJPVk4CRJktSTxeGShl7J6c3AQcBqtT4bOBDYFvhg3FfpG8CeTdstKzmV2i8LWAc4DdgXuBc4sq4KWB04tmm7Q0pOewLvA74F7ABcDGzftN3MVn9LGloGTpKGWsnpxRHcbA/cAnyltmgA3gLUgOrrQAfUQOgk4ARgJ+AK4FRg/wiM1gNeEoHTeSWnz8UmHgssAd4JnAvsBhw9sP3ae2te3KxP0ixn4CRp2NWA6eym7b4RgcxnI8i5q2m7Y+O1lwKPAF4eQU4bn10D2Bz4KHAD8PkIoKonxPdlTdudFuu5OgKpQQujeakkGThJGnq/B/4w8PyB7mF0Y7w+Ee0bNht4705gd+B1QAYuB65ayXoeaP112u/DA+0hJM1iZpwkDbuvAgtKTv8I3AzsGlmgd5Sc9gPOBOq02znAp6PuqdYyfSaCpfr+2hFAXQO8YCobb9puObB8VNtDSJpeXlUnaag1bfc14FDg5AiOTo8MUA2O3gBcCvysTqc1bXcRsAfwauAy4JmRXaqf/SFwPvDKaNg7OVUnSb3NmZiomW1J0oMpOa1V66GWzl/MPXNrffnMseWKxul3Clh7lBpnm3GSJEnqycBJkiSpJ4vDJWkKdr1wwUhNK0iaXmacJEmSejJwkiRJ6snASZIkqSdrnCRpCpbOX7xsyaKZ6wHsrQikmWXGSZIkqScDJ0mSpJ6cqpM0EkpOtV3K6U3bvfNhWPc60b7l6KbtfjXd65c0Psw4SZrVSk5zgBo4HQ6sP9M/j6ThZsZJ0lAqOdX/2H0U+Ffg8smgpuT0DOAEYMNo2rtX03ZXlZz2j2bAawKnAa9p2m55yak2Az4igqP6+r7AbtEo+ErgDmCb2OxFJafnN2133szuvaRhZeAkaVjtDOwNvAhYDpwBzAVOBY4FPg28Dziq5FSDq8URFH0faIBdSk4XRJC1E3BFfLYGWLdFgHUY8D3gicCPgBcAPxj8IUpO84B5sbykWc6pOknDagvgnKbtzm7argZDVwObRpBzCHBZZI42jxYo36nZJ2ArYLum7T4DvDSCnjYCo43q8rH+ZU3bndG0Xe3OPtlC5Y6m7e5d4edYGB3cr13F+y9pCJlxkjSsJoA/PMBrRMB0aTyeDHS2BbauQRNwcclpx1i+TsVtNrCOO4Htp/BzHBHTejXjZPAkzXJmnCQNq5pB2rLk9MKS03OBJ0WwVIOXfSIoqoHS7iWnZwJ3A48GPg7UK+PqZ86K10osX6fpNnmAbdWpwGrDktMjB9+odVKR0aoBmKRZzsBJ0rDqgOOBL0f90nUR4NR6pSdEEPWWWpPUtN0FUa/0SeCS+Dq2abuLgD2AV8fUXg2wrlpxQ03b/TIKx08C5s/M7koaBXMmJiYz35KklSk5rVVrnZbOX8w9c1efsYGy5YrG7XcKWDuyuiPBjJMkSVJPBk6SJEk9eVWdJE3BrhcuGKlpBUnTy4yTJElSTwZOkiRJPTlVJ0lTsHT+4mVLFt06I2PmFXXSzDPjJEmS1JOBkyRJUk8GTpIkST0ZOEmSJPVkcbikkVZyejuwAJgHHAd8FDgG2CbaOdR+dl8EbgQOatruUyWnfYH3Rs+7jYETaoNf4Hxgr6bt/qSfnSRVZpwkjayS0w7AQmAXoD4+EHgx8FNgM+AjEUzdE8FTXYb4/vl6oRpwajx+MnAlcNQK25gXPbXWnJm9lDRMzDhJGmXbAmc3bXdufVJymg/cDmwHfAdYF3gUsAbw2RoglZzWic/V4GlT4InAIcDBwGrAivcaqIHZ4TOze5KGjRknSePkauBI4KnAzsDe8foc4CzgLuBdQG2Z8u3IOFW7RYZqI+D5K6zziNq9HdhgFe+LpCFk4CRplH0T2LLk9PyS0+bATUCKeqZbBoOgpu3ujSm51wFt03Z/AC4FrgX2iSBqa2D3wQ00bbc8etPdMSN7KGmoGDhJGllN230JWAR8ITJKtT5pq8gOXQg8LhatReDEdN3c+H5fUATsFO9fGoXkP5i5PZI07OZMTExmqiVJKxMF4suWzl/MPXNXn5GBsuWKxvF3Clg7srojwYyTJElSTwZOkiRJPXk7Akmagl0vXDBS0wqSppcZJ0mSpJ4MnCRJknpyqk6SpmDp/MXLlixa8ebiq4ZX1Ukzz4yTJElSTwZOkiRJPTlVJ2nGlJw2BD4BPC9apBzbtN17S07XAB8E1ltJg93aZ+464NnA02v7lLiZ3s+AxU3bHTqwjdrg9xLge03b3ddOpeR0XNwx/GlAB5zftN1Bq3TnJY0kM06SZkTJ6VHA16JX3MbAHsBbS061b9yk2rD3MfE12Yy3Pt4BOAz4W+CV8d7ro9/cBwa307Tdb4E31k2WnLYoOc0HXgMc3LTd7atujyWNAzNOkmbK9tEj7oC4L9I1Jad31vYLkws0bXc3cHcEWvXbnQPBzm9KTp8C3lZy+lIER+9v2q62cLifpu2+WHI6E/h4NOs9FzhpFe6rpDFh4CRppvwdcOPgzSSbtjsqgqSaPerjXcBPo8nvPcDHHmTZA4CfxN+9zZu269Wos+Q0D6hfa/b8mSSNMQMnSTNlzkNdQdN215WcFgNvrlN1MS1Xg53TgS1isU2btvt5BD9zo0ThkVPYzMKV1FlJmoWscZI0U2oB+Polpz9mcmqmqeR04BTXU4Ok6ssDr+0NbBZf18drRwPfB75aH5ec+v79OyKmDzeY4s8laQyZcZI0U06PK+k+VHJ6N/Ak4L21aPuhrrhpuxsGn5ecXgVsCTyn1kYBPwb2r1fgxSJrlJweP/CRm5q2uzfWtRxYHjVWkmY5M06SZkQUcb8Y2Ai4AjglbkFw7HRup+S0Ti0aB05s2q7eduCyuAXCe0pO68diNYj65cBXvVpPkv7EnImJXvWRkjSrxX2ili2dv5h75q4+Iz+DLVc0jr9TwNqDF4kMOzNOkiRJPRk4SZIk9WRxuCRNwa4XLhipaQVJ08uMkyRJUk8GTpIkST0ZOEmSJPVkjZMkTcHS+YuXLVl0q2MmzdJbZ5hxkiRJ6snASdJQKTntWHLabRVvc2HJqd7BXJIelFN1koZGyel5wEeALeL5S4AjgacB/wMsbNruvma+JafaPG61pu0+V3Las7Zradpuvf/nps8Gzig5zW/aznk4SStlxknSMPkY8L6m7a4vOW0MnAZ8NgKnY4Avlpw2jWVr4PSKh7rBktOcpu3OAb4LHP7Qd0HSODPjJGkoRKD0zFp/HS/tA1zWtN0R8fyYklMNlPYuOa0GvCo+dyawBHhEyakGWdsBPwJe1rTdbSWnbaOp7wbAt4C9gE2A/wTOAmoT4GfVvsPAySWnNzVtd+/MjYSkYWbGSdKwqNN0v2ja7vZ4/nTg4hWWqc+fCrwxAp2akdol3qudd0+OIKjWK72i5LQu8IWaxYqs1SOAdwys7z+AF8Xj/44gqq7/j0pO86IZ6ZoP365LGhUGTpKGxeOAwfqiejnzA17S3LTdXcDvgN83bXdnvPzrWv/UtN3lwFXA44GtgRr0fBy4BPgHYPOBVbUDNU03xfcV66QWRgf3a6dvVyWNKgMnScOiBkJrDDy/PKbUBm0Sr/dRg66JeLwVsFlksfJKlp8X32tQNqhOFa4dU32SZjlrnCQNiytrliiKtWvAcxywX8np7cApUbv0AuCAWH458JSSU81Urcy5wG+AfYH3RzH5DSvJHv1lfL968MWm7ep2lpdca9ElzXZmnCQNi+9ExmnjCFh+AuwUwc4VwALg5U3bXRTLT15td/zKVti03Y3AzpFxujyyTZOfX1Fd5oKm7W55WPZO0lgw4yRpKNSApeRUi7v3A14fr51R76+0kuW/uUI90okD7z1r4PHXgclbGAxasX6qbvfD07ArksaYGSdJw+RgYJuS0+SVbqtEyeltwDVN29Wr7CRppQycJA2NuMJt6xm4gq1mr8oq3qakEeRUnaSh0rTdzcDNq3ib5/VddtcLF6zdtN2vH96fSNKwMuMkSZLUk4GTJElST07VSdLUrOk9naRpMZJtjAycJGlqf+RtvSJN/+/WyNQNGjhJUj/XR9uVOxwwaVqDpvq7NTLmTExMtnKSJEnSg7E4XJIkqScDJ0mSJAMnSZKk6WXGSZIkqScDJ0mSpJ4MnCRJknoycJIkSerJwEmSJKknAydJkqSeDJwkSZJ6MnCSJEmin/8FfUEKbOphH00AAAAASUVORK5CYII=);}
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-f13::before { content: url(data:image/png;base64,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);}
span.detail_graph-f13-::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-::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-::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,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);}
span.detail_graph-f17-5::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAGg5JREFUeJzt3Q2wbWdd3/HfNdFgakIIBKSN2KrFITAgMw0pg4S2CAIjzBrsol2gJhXCS+WthiFmmqF0tELGBmx5KYI4gcAsxtXahVBAkUCYImgpk4EApQ0CMQiJARJCgSB4O098LrPnNjdAOLn37v3/fGZ2zjn77L2zn733ued7nvWstfft378/AACVfc+RvgMAAEeaIAIAyhNEAEB5xx7JR2Aah31J/naSG8s/EwCwO05I8hfzsm7NQuUjGkQ9hq4+wvcBANh7pyb5dLbEkQ6iGzceNLNEALAbs0NXb9vv9SMdRAfcOC/rF4/0nQAAvjvTOGQbWVQNAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHnHln8EOCL2Xfj5/R76ZP95J+/zOAAceWaIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo71b3MpvG4Q+SPHzjrIuSXJzk1UlOS3J5krPnZf34NA6PS/KKJJ9K8oh5Wa8p/+gCADsxQ3T3JL+U5E79dEGPoQ8luXeS65K8tF+2fe+xSd6X5PHTONxlGoffPAxjAAC43YPoE/OyXt9O/bwHtCial/WqPlt05sZttdmha5ObZ55emeT3v7u7BwBwBDeZTePwfUnunOQ3pnH47STvTXJu//aN/eMNSY6fxuH4JC9O8uEkbVPZJT2kLj3EbR+XpJ1OuF1GBQCwRzNE7UjCT0/yrL4p7L5Jnn+oy87L2jalndjXHD0sydXTOFw1jcPv3MLlz+8xdfV3cmcBAA53EB2TZJ2X9R3zsv5J+zzJffr3TuofWwB9aV7Wr2xcr80mPSXJeW0yqIXUNA73P+i2X5DkjklO3ePxAADs6V5mP9YWT0/jMPRF1D+d5N39e+dM49DWC52V5F0b13lCkjfNy/rBaRzaDNMXkny1x9U3zct6U5KbprHdNADAUTpDNC/rFUmemeRlfff6K5M8L8kT+y73H01ySt+kduA6r+m75jdtD7M2s/T5JB84LKMBANjr4xDNy/qSJO20qc36nH4r17n5XcznZb0wSTsBABzVHKkaAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8o4t/wjAFtt34ef3H+n7cDTYf97J+470fQC2mxkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5R377TwC0zj8bpJxXtZ90zjcJ8mrk5yW5PIkZ8/L+vFpHB6X5BVJPpXkEfOyXlP+0QUAdmOGaBqHxyR57MZZLYY+lOTeSa5L8tJ+/gX9cu9L8vhpHO4yjcNv3n53HQDgMATRNA4nJnnZgeiZxuEOSR7Qomhe1quSXJzkzI3barND1yY3zzy9Msnv79H9BAA4YpvMLkzyjiR/lORZSe7az7+xf7whyfHTOByf5MVJPpykbSq7JMkn5mW99JZudBqH45K00wl7OxwAgD2cIZrG4SeTDEl++du4nf3zsrZNaW1G6eFJHpbk6mkcrprG4Xdu4fLn95i6+jbcZwCAw7bJrK0JunOSP0vyhn7elf3jSf1jC6Avzcv6lY3r/XaSpyQ5r3VVkvtO43D/g277BUnumOTUPRwLAMCeB9HZSe6Z5CeSPLOf175+f5JzpnH4oSRnJXnXxnWekORN87J+sM0aJflCkq8mOWbzhudlvWle1i9ubHoDADj6gmhe1s/Oy/rJduoLpdM/f2Lf5f6jSU7pa4sOXOc1SS7qX7Y9zP4kyeeTfOBwDAYA4HY7DtG8rG9Osq9/3mZ/Tr+Vy+7vH9uC7HYCADiqOVI1AFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKC8Yw/1CEzj8L1JXpTk55LsS/KmJOckuUuSi5OckeTKdt68rO+fxuHMJG9I8uUkj56X9aPlH10AYLuDKMnjkzwhyUN75LwzyZOTPCjJ15LcO8lzk7w2yWlJntO/vkeSp07jcF6Sl7TrzMu6/zCOCQBgbzaZzcv6mnlZT56X9QNJPtsj6K+SPCTJJfOyXpXkVUnuNY3DKf22Pp3kM0mOSfLCJO8RQwDANs8Q3Wwahw/2GaB3JXlFkpclubF/+4b+sQXRy5OsSW5KclGS0+dlffYhbvO4JO10wp6OBgDgdlpU/agkD09yvyS/eIjL7J+X9S1JTu6b0sYkb5vG4ZPTOLy5B9Cm83tMXX1b7jQAwGEJomkc7juNw8PmZb16XtZL+xqitrnsuiQn9Yud2D9e2/4zL+s3+kzRBUmekeRpG1G16QVJ7pjk1D0dDQDAHs8QtRmh35vG4YxpHNqszwOTtPVElyU5axqHtnj6SUmumJf1c+0K0zi0YLpmXta39XVE1/cF2e3zb5qX9aZ5Wb+4sekNAOCoDKLXJ/mtJG9O8u6+231bP3Ruv95Hkjw4ydkHrjAv62V9Zih9UfVb+yxQCyQAgO1aVD0v61/3XenbadNVfVf8Q13v5l3s52V9XZJ2AgA4qjlSNQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJR37K09AtM4PDfJs5OckOQdSc5O8gNJLk5yRpIrk5wzL+v7p3E4M8kbknw5yaPnZf1o+UcXANjuIJrG4WFJfi3JzyT5VJK3JWmB9KNJvpbk3v3r1yY5Lclz+tf3SPLUaRzOS/KSJE+el3X/4R0WAMDebDJr0XPevKx/OC/rx5J8IMndkjwkySXzsl6V5FVJ7jWNwyn9tj6d5DNJjknywiTvEUMAwNbOEM3LelmSy/ps0Y8neUTbFJbkXyS5sV/shv6xBdHLk6xJbkpyUZLT52Vtm9v+P9M4HJfkuL4pDgDg6F5UPY3D3ZO8Jckr52W99BAX2z8va7vMyX1T2tg2sU3j8MlpHN7cA2jT+T2mrt6bYQAA3E5BNI1DC5y3J3lvknP72dclOal/fmL/eG37z7ys3+gzRRckeUaSp/XvP+qgm35BkjsmOfW7uO8AALdvEE3j0PYme2tfE9Q2fZ04jcNJfTPaWdM4tMXTT0pyxbysn+vXaeuLrpmX9W19HdH1fa+z9vk3zct607ysX9zY9AYAcFTOEP1skgck+akkf5nkC/10br/eR5I8uO+Kv7nuqM0MpS+qfmufBWqBBACwdYuqX5OknW7JQ2/lejfvYj8v6+uStBMAwFHNkaoBgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUd+60egWkcTkny+CRnJfn5eVk/PI3DqUkuTnJGkiuTnDMv6/uncTgzyRuSfDnJo+dl/Wj5RxgA2O4gmsbhhCRXJbk8yf2T7OvfuijJ15LcO8lzk7w2yWlJntO/vkeSp07jcF6SlyR58rys+w/PkAAA9naT2VeS/HBro4POf0iSS+ZlbbH0qiT36jNJ7fY+neQzSY5J8sIk7xFDAMDWzhDNy/r1JNdO4/B3D/rWXZPc2D+/oX9sQfTyJGuSm/os0unzsj774NudxuG4JO3UZqAAAHZmUfX+eVnfkuTkviltTPK2aRw+OY3Dm3sEHXB+D6mr9/D/DwBwWIPouiQn9c9P7B+vbf+Zl/UbfabogiTPSPK0/v1HbVz/BUnumKQtzgYA2MoguqztdTaNQ1s8/aQkV8zL+rn2jWkc2vqia+ZlfVtfR3R93+usfX6zeVlvmpf1ixub3QAAti6Izu3X/UiSByc5+8A35mW9rM8MpS+qfmufCWqBBACwfcchauZl/eTGLvfpe5c99FYuf/Mu9vOyvi5JOwEAHLUcqRoAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAo79jyjwBAkn0Xfn5/9Qdi/3kn7zvS9wGOFDNEAEB5gggAKE8QAQDlCSIAoDyLqr8DFl3+DQsvAdg1ZogAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlOfAjADsGQew/RsOYLt9zBABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyrvNu91P4/BPk1yY5M5J3pTkKUl+NcmTk/y3dpF5WfeXf4QBgN2cIZrGoUXQa5K8IMkDkjwoyTOSjP3rH03yE9M4nDmNQwskAICd22R2epJjkrx6Xtb/neSNSc5M8tUkn0pyY585+vdJ1j2+zwAAR8Ums7sm+dLGJrEbkpyS5L/3zy9N8sS2CW1e1msPvvI0DsclaacT+lknTOOQo92x93/Zkb4LR4VpHE78bm/DY7k3j6XH0WtyL/nZProeyy12QrbQvv37v/NlPtM4/EKSF83Lepf+9fOTPHJe1jOmcfjeJD+b5KF9FulhSX59Xtb/tHH9dvl/s8djAQCOHn9vXtZPZsdniK5LcuI0Dt8zL+tft8+THJgJ+sEk5yb55RZNrX+SLEm+GUR97dGLekVeneTUvplt1xjfdvP8bS/P3Xbz/O3G8/f5bJHbGkR/muTrSZ46jcPbkzxmI3ie1xdYt+9/Lcnn2kzU5pXnZb0pyU0bm8lunJf1i9kxxrfdPH/by3O33Tx/223agiUwe7aoel7WNkN0dpLnJPkfSf54I4iePC/r+5J8IMk1PZ7+4yFuqoXRv+0fd5HxbTfP3/by3G03z992u2kbf7ffpjVEAAC7xJGqAYDybvORqm+LaRyem+TZfcHVO/pmtx9IcnGSM5JcmeSceVnfv23PTN+7ri0U/7m+ZqodvfucJHfZhfFtmsbhd9tBOOdl3TeNw33a8aiSnJbk8vaczsv68WyhaRz+IMnDN866qD93uzK+9gfQryT5xST/a17Wn5nG4dRtf31O49Du/1kHnd2eo3+07WPbNI3Dk/reuXfqhzb5hR369/NX+o4432jHr5uX9aJt/7dlGod2KJrH99fmz8/L+uFb+3mbxuHX++Fq2mPwknlZ285H2za+Y5M8op/3sXlZL9i4/FE/vsM2QzSNQ9v9/td6BP2DJPdL8tz+S6ctvr53kvckeW22U3thPKEfbuAfJvmp/jYmuzK+m03j0BbQP3bjrPYP1of6+Nraspdme909yS/1XzjtdMGOje9FfXzn9l+m2ZHX57/ceM7a6V1Jfm9Hxrb57gC/leTfJblvknv1NZxbP8ZpHP5xf9un9u9ne0uoX53G4UHb/LM3jUP7o/+qJP88yf03diy6xedrGodH9p2RHt3/qG6PQYumbRvf6/u/Mw9OcoeNy2/F+A7nJrP2IjhvXtY/nJf1Y33R9d2SPCTJJfOytgf3Ve0HvZfnVpmX9TXzsp48L2sb12f7eP9qV8a3caCxlx34h2kahzv0t2p5dR/fxf2I5dscRJ+Yl/X6durn7cT4pnG4a4+hp83L+sZ5WQ/sDrv1r895Wb+88Zz9UJKf7K/RrR/bhn39L+u2K/Onk/zfvifvLozxjD6b8PZ5WVskXNaPZbfNP3tfSfLD/bAzmw71fLXz/3he1j+dl/XSHoJnbuH4nj0v6z3bDPRB52/F+A5bEM3Letm8rC9un0/j8ON9Wq3V5F03jkHUjnLdbNsP9DdN4/DB/tfM/0nyih0b34V9U+cf9a/b2HLQ+I6fxuH4bJlpHL6vv93Mb0zj8OlpHP5zD/adGF//pdMOlPrPpnH482kc3tqn73fp9Zk+a/Jf+y+cnRlb37P3/L4pvh2ipL1eX7gjY/xEkh+ZxuHv93D/kSQnbfPP3rysX7+ld2m4ledr8/wD3ztl28Y3L+tnDnGVrRjfYV9UPY1D+yv8LUle2Uvxlmzzrm+P6utQ7tfXauzE+KZxaH91D307/7eydePr9/npSZ7VNwm2zRLPv5XLbps79fvd/gJ/TI+939ih8aUHXvuL9T/cysW2dWx/p68farN8bXNSW7P4r3ZkjP+lr4lqWw7+Zwufg49dt8Vj+3bsLzTWo3p8h3tR9clJ2oEc39vXMTTXbfw1cOC9X26prI9q0zi0X6B3a9O+bVp7God39mnCnRhfX0/TZlD+bON10xYF5qDxtfe4a9Op26bNnqzzsv5F+2Iah/amxG1tw66Mr73mvjIv68vbF9M4vKEvfNyV12d6zF7eN7tkx8bWIuiYjeevrZF65C6Msc02JGkL/Fu0f6XPGL2zrzfdhZ+9TYd6vtr599i43Oa7P+yC67ZhfIctiKZxaHtDvDXJZ/qeZu2tP9K3F581jcO7k7S9KK6Yl7Ud3XrbtBmhl0/j0BZTfynJA/sCuu/fkfGdvbFI7p/0BY/37G/Lcs40Dp/qv2DbgtZt9GNtu/Y0DkPfvv3TSdpzlh0Z33v70eGf0Te7tHF+oD+nW//67OvbntwXWB+wK/+2pK/J+P5pHB7XD4b7sH7Q22t2YYx9k/UP9s2C1/flFM/YkZ+9fKvX5DQO7fynT+PwwP7G5/fteynvisu2YXyHc5PZgUVyLRj+MskX+uncfj8+0lemt1+82+j1fS+QN/dfpG/qC5B3Ynzzsn62vUlff6O+m8u+f/7EvlvsR/s24fZX+taZl/WKJM/sz9nlffbreTs0vhv6psCn9OD7XH9t7sTrs4+rLTRuh4Q4YFfG1p6/D/ZNuu2PrPb5n/dZ210Z49ij/W/1Nwr/xq787B3kUM/XW/o7OryxPd1J/vW8rG3z4a54yzaMz5GqAYBU9/8ASF7n8e173LQAAAAASUVORK5CYII=);}
span.detail_graph-f17-15::before { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAISCAYAAAAtN9CwAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAGfFJREFUeJzt3QvQbWdd3/HfMUcilCRw5CKQgkWRAVpopgJlLNAKQaBi14CLuqAIlbuA0gY5Ms3QOKKQoQFtgHJ1uMnCLtsuBLmDjVNullLKtbS0QEzEBBJyUSAp9O08mecw75yeBEnObe//5zOzc95337Kfvd/L933Ws9bes7OzEwCAyr7vWD8AAIBjTRABAOUJIgCgvL3H8hmYxmFPktsmubL8KwEA2+OkJH82L+vGLFQ+pkHUY+iCY/wYAIDD79QkF2ZDHOsgunLXk2aWCAC2Y3bogk37vX6sg+iAK+dlveJYPwgA4IaZxiGbyKJqAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMrbW/4ZgOtpz9mX7hyJJ29n/749R+J+Abh2ZogAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMrbe13PwDQOz07yzCQnJXlfkscleUiSN+262iXzst5iGodHJnl5ki8lefC8rBeVf3YBgM2eIZrG4fQkz+sR9ONJ7pGkBdJtknwgyc376Y79JmcmeXiSDyd51DQOLZJ+6+gNBQDg8M8QXZ1k/7ys726fTOPwsSS3TvL9SS6cl/WyQ8RVmx26uN/vK5O85Ho+LgCAYx9E87Kel+S8HkN3bpvBkjwsyeOT3GcahwuSfCXJr8zL+t4kL07y6SRtU9kbknxhXtb3H+q+p3E4McmJfVMcAMDxvah6Goe2ieztbcanB86rkpyV5PS+eez3pnG40bysr0lycpIH9csumMbh/GkcfucQd/ucJJe36xyZYQEAHKYgmsZhX5L3JPlQkjP62Z9rE0jzsn42yblJ2nVut+tmr07y5La5rd1FkrtP43DaQXf9/CSnJDn1e3isAABHfVH1TZO8I8mX+55mJ0/jcLMkf5DkFdM43LYtnk5yaVtT1G/26CRvnZf1E0l2knwtyTeTnLD7vudlvWpe1iuSXHlkhgUAcHhmiB6R5F5JHtjXCn2tn56Q5E5JPp9kSDLOy3p1D53XJTmn377tYfaRHkxtQTYAwMYtqm5x006Hcp/ruN1O//fsJO0EAHBcc6RqAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5e0t/wzAhthz9qU7R+J+d/bv23Mk7hdgk5ghAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAytt7Xc/ANA7PTvLMJCcleV+SxyW5aZLXJrl3ks8neeK8rB+dxuF+Sd6c5OtJHjYv62fLP7sAwGYH0TQOpyd5XpKfTvKlJO9M0gLpR5JcneRu/fPXJ7lrkmf1z2+f5CnTOOxPcm6SJ83LunN0hwUAcHg2mbXo2T8v67vnZf1cko8luXWS+yd5w7ys5yd5VZK7TONwy35fFyb5cpITkrwgyQfEEACwsTNE87Kel+S8Plt05yQPbpvCkvzTJFf2q13e/21B9LIka5KrkpyT5J7zsrbNbf+faRxOTHJi3xQHAHB8L6qexuE2Sd6e5JXzsr7/Wq62My9ru86+viltbJvYpnH44jQOb+sBtNtzekxdcHiGAQBwhIJoGocWOO9J8qEkZ/Szv5rkZv3jk/u/F7f/zMv67T5TdGaSZyR5ar/8oQfd9fOTnJLk1Bvw2AEAjmwQTePQ9iZ7R18T1DZ9nTyNw836ZrTHTuPQFk8/Icmn5mW9pN+mrS+6aF7Wd/Z1RJf1vc7ax98xL+tV87JesWvTGwDAcTlD9Igk90rywCRfSfK1fjqj3+4zSe7bd8Xfve6ozQylL6p+R58FaoEEALBxi6pfl6SdDuUB13G7a3axn5f1jUnaCQDguOZI1QBAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMrbW/4ZYKvsOfvSnSNxvzv79+05EvcLwPHBDBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8vZ+t2dgGodbJnlUkscmecy8rJ+exmFK8qZdV7tkXtZbTOPwyCQvT/KlJA+el/Wi8s8wALDZM0TTOJyU5PwkP5fktCR7+kW3SfKBJDfvpzv2889M8vAkH24RNY1Di6TfOvLDAAA4cjNE30hyhyQ3SfKFXee3ILpwXtbLDhFYbXbo4n7fr0zyEi8QALCxQTQv67da3Ezj8MMHXXTbJPeZxuGCJF9J8ivzsr43yYuTfDpJ21T2hhZR87K+/+D7ncbhxCTt1GagAAA2clH1q5KcleT0vnns96ZxuNG8rK9JcnKSB/XLLpjG4fxpHH7noNs/J8nl7fLDMAYAgGMSRJ9rE0jzsn42yblJ9iW53a7LX53kyUn2twmhJHefxqGtQTrg+UlOSXLqDXv4AADHLoj+IMkrpnG4bd8D7dK2pqhf9ugkb52X9RNJdpJ8Lck3k5xw4Mbzsl41L+sVSa48DGMAADgmQfSEJHdK8vkkQ5JxXtar2wXzsr4uyTn9em0Ps4/0YPrYDXuoAADH6DhEzbysX9y1y337/L+1RdXXcf2d/u/ZSdoJAGCzgwioZc/Zl17zR83htrN/33f+sAI4nnjrDgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoLy93+0ZmMbhlkkeleSxSR4zL+unp3E4Nclrk9w7yeeTPHFe1o9O43C/JG9O8vUkD5uX9bPln2EAYLODaBqHk5Kcn+TjSU5LsqdfdE6Sq5PcLcmzk7w+yV2TPKt/fvskT5nGYX+Sc5M8aV7WnaMzJACAw7vJ7BtJ7tDa6KDz75/kDfOytlh6VZK79Jmkdn8XJvlykhOSvCDJB8QQALCxM0Tzsn4rycXTOPzwQRfdKsmV/ePL+78tiF6WZE1yVZ9Fuue8rM88+H6ncTgxSTu1GSgAgK1ZVL0zL+vbk+zrm9LGJO+cxuGL0zi8rUfQAc/pIXXBYfz/AwAc1SD6apKb9Y9P7v9e3P4zL+u3+0zRmUmekeSp/fKH7rr985OckqQtzgYA2MggOq/tdTaNQ1s8/YQkn5qX9ZJ2wTQObX3RRfOyvrOvI7qs73XWPr7GvKxXzct6xa7NbgAAGxdEZ/TbfibJfZM87sAF87Ke12eG0hdVv6PPBLVAAgDYvOMQNfOyfnHXLvfpe5c94Dquf80u9vOyvjFJOwEAHLccqRoAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFDe3vLPAEfUnrMv3TkS97uzf9+eI3G/ANRkhggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKC8vdf3GZjG4V1JHrTrrBcluV2Sf5jklfOynlH+2QUAtjuIktwmydOSvKl/ftckv53kXkneNY3DbyT5qSRXzMv6h4fp8QIAHHdB9IV5WS9rn0zjcHWSK5N8Kck3k9wxyS8l+cnD93ABAI6TIJrG4UZJfjDJC6dxeHWSDyV5cpJvtRmhJG9M8oIkT5+X9RuHuP2JSdrppMMyCgCAY7CoeqfFTpJfTvLwJHdPcta8rG1N0Y2TfC7JB9t50zh8cRqH4aDbPyfJ5UkuuCEPHgDgWAbRCUnWeVnfNy/rR9rHPYqav9UXW3+if/6LSX7toNs/P8kpSU69AY8dAOCYriH60SSf7DM/n+yLp/+4X3ZWkl9I8nf6WqJLekB9x7ysVyW5ahoPnjgCANiQIJqX9VPTOLQF0y9NcnKS9yR5br/4H83LujONw8V9k9q7++JqgEPac/albTP8Ybezf98eTzlwRPcym5f13CTnHuL8a36wzcv6l0nue33vHwDgaHGkagCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5e8s/AwXtOfvSnSNxvzv79+05EvcLAEeaGSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeXa7B0px2AngUMwQAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIACjPgRkBtoSDTsL1J4gA+J6JL7aNTWYAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8ux2D3AE2T0dNoMZIgCgPDNExwF/QQL4OcmxZYYIACjves8QTePws0nOTvKDSd6a5MlJfj3Jk5L8YbvKvKw75Z9hAGA7Z4imcWgR9Lokz09yryQ/keQZScb++Y8k+dvTONxvGocWSAAAW7fJ7J5JTkjymnlZ/0eStyS5X5JvJvlSkiv7zNG/SrIe5scMAHBcbDK7VZK/2LVJ7PIkt0zyn/rH70/y+LYJbV7Wiw++8TQOJyZpp5P6WSdN45Djye+f9tI2jsPuZ//r0045+Ly9p730SPyv2vN88qHOP5r/P2M7PM/j0X4uvW6H53k82s/ltv6/jvb/72j+/N9SJ2UD7dnZ+d6X+Uzj8PNJXjQv6y3652cleci8rPeexuH7kzwiyQP6LNLpSX5zXtZ/s+v27fr/8jCPBQA4fvyNeVm/mC2fIfpqkpOncfi+eVn/b/s4yYGZoB9KckaSf96iqfVPkiXJd4Korz16Ua/IC5Kc2jezbRvj22xev83ltdtsXr/teP0uzQa5vkH0J0m+leQp0zi8J8nP7Aqe5/YF1u3yq5Nc0maidt94Xtarkly1azPZlfOyXpEtY3ybzeu3ubx2m83rt9mm42wJzBFdVD0va5shelySZyX5z0k+uCuInjQv64eTfCzJRT2e/vW13FULo1/r/24j49tsXr/N5bXbbF6/zXbVJv5uv15riAAAtokjVQMA5R3V9zKbxuHZSZ7ZF1y9r292u2mS1ya5d5LPJ3nivKwf3bRXpu9d1xaK/5O+ZqodvfuJSW6xDePbbRqHf9sOwjkv655pHP5mOx5Vkrsm+Xh7Tedl/V/ZQNM4vCvJg3addU5/7bZlfO0PoF9N8gtJ/vu8rD89jcOpm/71OY1De/yPPejs9hr9/U0f227TODyh7517835ok5/fop+fv9p3xPl2O37dvKznbPrPlmkc2qFoHtW/Nh8zL+unr+v7bRqH3+yHq2nPwbnzsradjzZtfHuTPLif97l5Wc/cdf3jfnxHbYZoGoe2+/3zegT9eJJ7JHl2/6XTFl/fLckHkrw+m6l9YTy6H27g7yZ5YH8bk20Z3zWmcWgL6B++66z2A+uTfXxtbdlLsrluk+Rp/RdOO525ZeN7UR/fGf2Xabbk6/MXd71m7fQfk/z7LRnb7ncHeEWS30hy9yR36Ws4N36M0zj8g/62T+3nZ3tLqF+fxuEnNvl7bxqH9kf/+Ul+Lslpu3YsOuTrNY3DQ/rOSA/rf1S356BF06aN73f7z5n7JvmBXdffiPEdzU1m7Ytg/7ys756X9XN90fWtk9w/yRvmZW1P7qvaN3ovz40yL+vr5mXdNy9rG9ef9/H+n20Z364DmL30wA+maRx+oL9Vy2v6+F7bj1i+yUH0hXlZL2unft5WjG8ah1v1GHrqvKxvmZf1wO6wG//1OS/r13e9Zn89yd/rX6MbP7Zd9vS/rNuuzBcm+cu+J+82jPHefTbhPfOytkg4rx/LbpO/976R5A79sDO7Xdvr1c7/4LysfzIv6/t7CN5vA8f3zHlZf6zNQB90/kaM76gF0bys583L+uL28TQOd+7Taq0mb7XrGEQHjg66ad/Q3zGNwyf6XzP/M8nLt2x8Z/dNne/tn7ex5aDx3WQah5tkw0zjcKP+djMvnMbhwmkcfr8H+1aMr//SaQdK/cfTOPzpNA7v6NP32/T1mT5r8h/6L5ytGVvfs/c5fVN8O0RJ+3p9wZaM8QtJ7jiNw516uN8xyc02+XtvXtZvHepdGq7j9dp9/oHLbrlp45uX9cvXcpONGN9RX1Q9jUP7K/ztSV7ZS/FQNnnXt4f2dSj36Gs1tmJ80zi0v7qHvp3/u9m48fXH/PQkv9w3CbbNEmddx3U3zc37425/gf9Mj70XbtH40gOv/cX629dxtU0d2+36+qE2y9c2J7U1i/9sS8b47/qaqLbl4L+08Dn42HUbPLa/ip1CYz2ux3e0F1XvS9IO5Pihvo6h+equvwYOvKfMocr6uDaNQ/sFeus27dumtadx+KM+TbgV4+vradoMyv/e9XXTFgXmoPG197hr06mbps2erPOy/ln7ZBqH9qbEbW3Dtoyvfc19Y17Wl7VPpnF4c1/4uC1fn+kx+/G+2SVbNrYWQSfsev3aGqmHbMMY22xDkrbAv0X7N/qM0R/19abb8L2327W9Xu382++63u53f9gGX92E8R21IJrGoe0N8Y4kX+57mrW3/kjfXvzYaRz+OEnbi+JT87K2o1tvmjYj9LJpHNpi6r9Icp++gO7GWzK+x+1aJPeTfcHjj/W3ZXniNA5f6r9g24LWTfSjbbv2NA5D3779U0naa5YtGd+H+tHhn9E3u7Rxfqy/phv/9dnXtz2pL7A+YFt+tqSvybjxNA6P7AfDPb0f9PaibRhj32T9Q32z4GV9OcUztuR7L9/ta3Iah3b+06dxuE9/4/O7972Ut8V5mzC+o7nJ7MAiuRYMX0nytX46oz+Oz/SV6e0X7yb63b4XyNv6L9K39gXIWzG+eVn/vL1JX3+jvmvKvn/8+L5b7Gf7NuH2V/rGmZf1U0l+qb9mH++zX8/dovFd3jcFPrkH3yX9a3Mrvj77uNpC43ZIiAO2ZWzt9ftE36Tb/shqH/9pn7XdljGOPdr/Wn+j8G9vy/feQa7t9Xp7f0eHt7SXO8m/mJe1bT7cFm/fhPE5UjUAkOr+H4ix7/vqUEGXAAAAAElFTkSuQmCC);}
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,iVBORw0KGgoAAAANSUhEUgAAAkQAAAHgCAYAAABEhXI/AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAGyBJREFUeJzt3Q2QZWdd5/Ffk5GIMhkYQUwZF8IKvgGbQfEN37ZKAQX0rOYoB0uIr0EjvgAas0RARWMWRGQdfIEognpGT7QOC2oMiPiCi8CarIiCi8hLFEEZmBkgRiK9dbJPU51xCBlr031v/z+fqlvT9/btrnOe+/a9z3luz8bm5mYAACrbt9sbwGoa+u78JJcn+bgkL0pyYZIfSfJtSX5ruco4zStd00PffX+S70myP8nvJbkgyQ+u0z5sGfru15P0SW6XZEzy0CQ/P07z47MGhr5btvsHknxTkteP0/ywoe9+Yp1ui6HvviXJk5PcOcnLkjxqHe5PQ9/dNckjkzw6yTeM0/y6oe/OSfK8JJ+T5I1JvnWc5tcMffdFSY4keX+Sh4/T/FdZ3X34rCQ/k+S+Sf4myXeN0/x767QP2773Fe0+9I3jND9v6LuvTfKzSd6S5CHjNL8jK7wPw/8b86cmWW6Te47T/A+rejvckuVJCm5m6Lslgn4pyWVJPjvJA5M8tr0gL+f/Y5Lzljv80HfLi8HKGfruy9oD9IL2IP1PSX5snfZhy9B3X5nkq9vZQ23bl33oh747OPTdMPTdEkir7BlJLkqyBNyjlu1ep9uiPSZ+LsmPJrlfkk9bh/vT0HfLm4G3JnlEu+9stG8tMfovST4jySuSPL9d/oQkyxuJX0jymKHvPnrou+cMfbexSvvQAvs3k7yqjf0fJnnBOu3Dtu/dsYXdB7f9yKXtMf/KJUCGvrvL0HfPzC4aPsw+DH233P9fmuQPktwnyTtW9Xb4SAQRp/KAJGckuWKc5r9O8sIkS+3/c3vHcqLNHD09ybyiQ7g82V88TvPV4zS/IcmfJTlzzfZhebI5K8nhJD+97TF7ou3Dsi/3XN4ZtxmLlTT03ce3GPr2cZpfOE7z0bYf63RbLE/i/5rkuiR/l+R97QVs1ffh+iR3X26Gky7/4iUgxmleXuCeswRee/d/u7Z/b2/PAT++BNMuz3ydah8+JsmvLm/axmletve3l/Ef+u6MNdqHLcsbzz9K8u5tl92u3a/e2Y7k/HyS/5Hddf2H2Ycl3l48TvMPjtP8pm3jvIq3wy1yyIxTWV7A3rvtjnssyfJk+cft6+XF95uXQ2jjNC8P2JUzTvPybuUP2gvypyzTzsu0bXthW4t9aC5vh/uWd2DfneSaJDcmOZ7kl9uTzHeO07w8Wa2qz2lPiF839N0Sd3+xHKJZs/vTPw19d0k7fPwv7RDN8g742au8D+M0L/eVdw59d49TPMaXiEvb/rTH+LNb0N3QZpEeME7zcth5pfZhnOb3tkOwW4djlxnsI+M0/+vQd2uxD4uh7z43yde2mbrXb/vWTyZ5XZttWWa+/nac5pet6H3pgUlePfTdG9qbhiWMfmMV70sfiRkibq3NcZq/qb0z+8UlmJL8l6Hv3jb03bev6jAOfXd2e/e4rLd52Trtw9B3X5CkS/K4rcuWJ/xxmh+U5A5JliegP0nylKHv3jz03XLdVbSsudlsh2aWw393S/K0NbstPrGtH7qovQB8VJLvXad9uJWP8eWxcrC9QC+HA69q960XD323zLCuosNtpvSmx8m67MPQd7dP8tzlMPIS3Nu/N07zFUmW2eHlsb4c/r9u6Lu3Dn23HH5axcf39e1Q2hJAzx/67s7rcjtsJ4g4leXBeVZ755X2wNx61/sJbR3I89tixmX69EmrOIxtncpLkvzPts1Zs324tB2GeVNbnLjs03va9+7bniz/vJ3/jiQ/lNW03HeuH6f52eM0X9P2ZVmHs063xRJBZ7R9eE1bv/Lla7YPJz/G77Tt8Z2tx/gS3e3d/aVt5mUr7paFvytl6LvLWmQ/aJzmd21dvib78NUtFn66Pa6X56tnD323LFre8tz2gZaL2/3qfkPfLet3Vsk7l8OX7bH9zPYG4ZPX6Hb4EEHEqSwLFW9sC+Hu1Z5wXt6+96R2x76+HTpYnoRWbpFcW6j4O+349fe0wLvTOu1DWxB+72WxblsnlPb14intE1tp61je1Q5LraIlSG8Y+u6xbbq9a2u61um2WA5n3GH59M/Qd+e2d+1/uWb7sN1yOPnRQ9/9hyTLp+f+Yisohr5b1he9Y5zmq9p96j3tk0JnrOCnSJcX2K9JcnR5fLdZl3XZhxcnObc9ps9r2/ikbWuFvn45RDtO85+3GdZ3t8f6Ku3D1n5cOPTd3dtz0jJT+n/W6Hb4EEHEv9Gmby9oayRe3Q7LLJ+CWHzbOM2vbC9o72jx9KwVHMblSXL59MOXJvnH9mTy7nXah+Wjq+M0v3k5bXv3vny9+Kpxmv+2Rd8yQ3H1chgqK2ic5mPt3fDyTve1LRgev2a3xfKi9J1tLcTy9dvau9612YeTPL49/y9R94Xt8b59/d0SeGlr1Jb72PIx/eVFbdXW1x1owb31+H7kuuzDsg5q6/HdHtfLIv1/auujlu//Uru/pc28/OkSftveTKyK72tj/9p2P/racZrfsy63w3Yb/jAjAFCdGSIAoDwfu+dWa58MuKT97Y/lo5Rrxz6sBrfDanA7rA63xe4zQ8TpOLN99HglPzJ5K9mH1eB2WA1uh9Xhtthl1hBxun81+VhbFLf1R93Wzf7214btg9vBfcnjYZXsteemxd+v8l+mPplDZpyO5e9kpN3h1519WA1uh9Xgdlgde+m2OKf99x1rQRBxOpaPfGbN38EAsDMzRSfWaaAFEf8eJ8ZpXv4vLQC4maFf1f9F6JZZVA0AlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUt6/8CHDarjx0+NiRy48aOYA9ZPPigxspzAwRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHn7yo/AHjP03a8keUCSTx2n+YND352V5C1JDo/TfOlubx8ArCIzRHvPk5Kcm+Tr2vnvTLKZ5Gm7vF0AsLLMEO0x4zT/zdB3v5Dkvw5996Ik35vkv43TfGzou+9J8gPtdn9Bkscl+dgkz0vykCRHkzxxnOblewBQhiDam344yRuT/GaSG5M8a+i7L22zRw9OcjzJy5L8YZJPTPL5Se6f5EHLzw59d+U4zddv/bKh785Mspz27+5uAcBtwyGzPWic5r9b1gwl+bIkTx2n+f1JHt6C5iVJ/jTJ3ZJ8ZpJXJLl9kickeXuST9seQ80lSY4luW6XdgkAblOCaO96cfv3t9q/yzqiv05yXjt9cpKfGKf5miSfkuSPk1yY5H8PfXfGSb/rsiQHkpyzw/sAADtCENVxdZJPT/JF7XZf1hKdPfTdTyW5qs0aPTfJvZN8/PYfHKf5hnGal8NsJ3Zv8wHgtiOIihin+bfbIuqnJnltkru0Q2TL+XcmuTbJEkffP07zcjkAlGFR9R41TvPLk2ycdNlPJllOJ3vozm0ZAKweM0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChvX/kR4LSdf81FB8ZpPm7oANgrzBABAOUJIgCgPEEEAJQniACA8iyq5rRdeejwsSOXHzVyAGtk8+KDG7u9DavMDBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAefvKj8CaG/ru5Um++BTf+qFxmp+yC5sEAGvHDNH6e1iSOyd5eDt/Tjv/41tXGPpuY/c2DwBWnxmiNTdO83uXf4e+u+nfJMeWy4a+e97Qd5/Z4ujpQ991SV4zTvMThr67T5LXJjk3yVuS/FiSxyT55yTPGKf5abu7VwCwswTR3vaxSR6U5M1JliA6lW9O0if5vCR3TPKHQ9/93jjNf7Z1haHvzkyynPbv3KYDwM5xyGxv+7Nxmv9ynOb338J1lkNtn5TklUlemuSjk9z/pOtcssw8JbnuNt5eANgVgqiOzVu4fFmYfV473TPJr510ncuSHGjrkwBgzxFEdbw9yQOGvrtHkq/ZdvnV7VNqn9YOi/1wO9T2IeM03zBO8/EkJ3Z+swHgtieI6lgWSp+d5NoWP1t+Nskzk/xikle3hdXv3sXtBIAdt7G5+eGOpMDNDX131rKW6MpDh3PjGXcwPABrZPPigxs7+VqR5EA7urAWzBABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKC8feVHgNN2/jUXHRin+bihA2CvMEMEAJQniACA8gQRAFCeIAIAyrOomtN25aHDx45cftTIAayJzYsPbuz2Nqw6M0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChvX/kR4CZD3901ySOTPDrJN4zT/DpDA0AVgoglhvYneWuSa5McSrJhWACoRBCxuD7J3ZN8TJK/NSQAVCOIyDjNNyZ559B39zjVcAx9d2aS5bTMJAHAnmNRNbfGJUmOJbnOcAGwFwkibo3LkhxIco7hAmAvcsiMj2ic5huS3DD0ndECYE8yQwQAlGeGiA8Zp/nNPnIPQEVmiACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDK21d+BDht519z0YFxmo8bOgD2CjNEAEB5gggAKE8QAQDlCSIAoDyLqjltVx46fOzI5UeNHMCK2bz44MZub8O6MkMEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBNEeM/TdU4a+u/dubwcArBNBtPc8OcnNgmjou43d2xwAWH37dnsD+P9n6Lt/bl++aOi7NyQ5keSeSb556LtnJnn6OM0/PfTdw5brjNO8MfTdRyf570kekeRokieO0/zLbhcAKjFDtLfcrf27xM27knwwyQOS/M4t/MylST4jyX2TXJjkiqHvPmH7FYa+O3Pou7OS7L9tNx8Adocg2kPGaT7Wvnxfkg8k+aNxmt80TvMNt/BjD09yKMm1SY4kuX2S+5x0nUuSLL/7uttw8wFg1wiiOjZv4fJfTXJeO52b5BUnXeeyJAeSnLMD2wkAO04Q7T3/kuReST72pMvfnuSBQ9+d22aFtlzdzp+d5E5JfjTJzRZhLzNM4zQfb2uSAGDPEUR7z3Na1JwcRE9J8oVJXp3kLidd/sIkL07y0iRvSXL9Dm8zAOyqjc3ND3ckBW6uLaw+duWhw7nxjDsYHoAVs3nxwY1Vea1IcqAdXVgLZogAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFDevvIjwGk7/5qLDozTfNzQAbBXmCECAMoTRABAeYIIAChPEAEA5QkiAKA8nzLjtF156PCxI5cfNXKwh21efHBjt7cBdpIZIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlLev/AisoaHvviTJ75908W+N0/ywW7ju/nGa37tzWwkA60MQrbdzkryvff2BXd4WAFhbgmi9Hdua9Rn67qOGvvuJ5cskd0jyc+M0/8D2Kw99d3aSFyT5vCTXJfnucZqvGvruYJLnJnlwkrcl+a5xmq/etb0CgB0miNbbdUPfbX395UnukuQhLYheOfTdr590/ccnWeLnfkkuSPLUJFcleVaSjST3TvIVSX51iadxmm+adRr67swky2n/ju8hAOwAQbTePj/J+9vXb0/yD0l+o4XR4uxth9QWL03yjUkem+R3k/xQu/zh7b7wuuSmhfZL+Nw9yRvb9y9J8uQd3C8A2FE+Zbbe3jpO85uXU5I+yXe02Ll/+/4y6/Mhy+GxNjv0Vy2GlvOLzSRPT3Je+/65Sd6y7UcvS3KgrVkCgD1HEO0dB9ps0JvbzNG/MfTdvKwtSrKsD/q1JA8c+u527fwjktwxyScleVKSG7d+bpzmG8ZpPp7kxI7uEQDsEEG0dzw/ybVJXpPk65IcbYfMtntCkjsleX2bSbpwnOYPJrkoyZ8neUWSI8vvGad5mTUCgBKsIVpD4zS//BSHw060BdWnsnXdZU3QF5zi9/1jO+QGACWZIQIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHn7yo8Ap+38ay46ME7zcUMHwF5hhggAKE8QAQDlCSIAoDxBBACUZ1E1p+3KQ4ePHbn8qJGDPWLz4oMbu70NsNvMEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUt6/8CKyxoe++PsnTkrxvnOZ7neL7FyR5+jjNd9mdLQSA9WCGaL1dmmRO8rm7vSEAsM7MEK2poe/+OMmnttPdhr47nuThSf41yY+O0/ysk67/6Ul+Icn9krwhybeO0/yaoe/unuR5ST4nyevb5f9r9/YMAHaeGaL19ZAkb0vy/Umen+SGJJ+X5KIkzxz67uTDZD+c5F1J7pPk1Ume2C7/lSR/meSeSV7coulmhr47c+i7s5Ls35ldA4CdJYjW1DjN703ywSTXJ3lJkjOSXJ3kiiQby6zRST/yO0k+M8m3tAj66qHv7pzkgUke1WaHHpfkvkPf3f6kn70kybEk1+3gLgLAjhFEe8Pj2ozRNyR5aLtsiaIPGaf5ihY/70jyc0mek2Rz28+f12aPlpmiD5z0+y9LciDJOTuzOwCwswTR3rDEytEkb2/R828MfXdtm+n5zSRXJfnCcZrf0w6fXdDWky1B9NhxmrdC6SbjNN8wTvOyRunEju0RAOwgQbQ3PDPJ+5Nc2xZNL0Fz9knX+bYkn5XkjUkenOS72+WPWD623352WYj9ql3YfgDYVT5ltsbGab7HtrPLguoty98n2vK8dt1XtcNiJ/+ONyV50G26oQCw4swQAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgvH3lR4DTdv41Fx0Yp/m4oQNgrzBDBACUJ4gAgPIEEQBQniACAMqzqJrTduWhw8eOXH7UyMGa27z44MZubwOsCjNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAob1/5EeAmQ9+dn+TyJB+X5EVJLhyn+f2GB4AKzBCxxNASQb+U5LIkn53kgUkea2gAqEIQsXhAkjOSXDFO818neWGSLzI0AFThkBmLj0/y3nGaN9twHEty162hGfruzCTLab/hAmAvMkPEh7MVR4tLWiRdZ7gA2IsEEYt/SnLW0Hdb94ezkrxz29Asa4sOJDnHcAGwFwkiFq9KcmOSxwx9d68kX5nk5VtDM07zDeM0H09ywnABsBcJIpbgWWaILkjyhCSvTvInSX7G0ABQhUXV3GSc5l9PspwAoBwzRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDl7Ss/Apy286+56MA4zccNHQB7hRkiAKA8QQQAlCeIAIDyBBEAUJ5F1Zy2Kw8dPnbk8qNGDtbQ5sUHN3Z7G2AVmSECAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDyBBEAUJ4gAgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5+8qPQAFD331Jkt9P8uhxmp/fLntYkheN07yx29sHALvNDFEtzxj67q67vREAsGrMENXy7iQ/leSRWxcMfbdE8Y8n+ZYkH0hyRZInjtO8ububCgA7RxDVcmGSlwx998vbLvvWJN+Y5EFJ7pjkt5O8PslNh9YWQ9+dmWQ57d+dzQaA25ZDZrW8KsmzkvxMi5/FQ5O8cJzm14zT/PIkVyf5zyf93CVJjiW5bhe2GQBuc4KonkuTfDDJk9v5D7TzW061yPqyJAeSnLND2wgAO0oQFTNO8/uSPCbJp7aLfjfJVw19d/+h774gyZe2y7b/zA3jNB9PcmJ3thoAbluCqKBxmpfgeUE7e0VbL3TVcugsyU+O03xklzcRAHaURdUFtLVBNzsUNk7zo5Isp8X3tRMAlGSGCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKC8feVHgNN2/jUXHRin+bihA2CvMEMEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAoDxBBACUJ4gAgPIEEQBQniACAMoTRABAeYIIAChPEAEA5QkiAKA8QQQAlCeIAIDy9pUfAf499g99Z+QAOJX9WUOCiH/Pnfw6wwbArXjNOJ41IYg4HX+f5JwkJwwbAB8hhpbXjLWxsbm5udvbAACwqyyqBgDKE0QAQHmCCAAoTxABAOUJIgCgPEEEAJQniACA8gQRAFCeIAIAyhNEAEB5gggAKE8QAQDlCSIAINX9X4Q0Vc5UVqWsAAAAAElFTkSuQmCC);}
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 = 3560;
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">DataFrame</div>
<div class="pos-dataframe-summary-title-compare-none text-dataframe-title-small color-title-disabled">NO COMPARISON TARGET</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"></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"></div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">9.9 MB</div>
<div class="pos-df-summary-center">RAM</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row row">
<div class="pos-df-summary-source color-source">
20
</div>
<div class="pos-df-summary-center">FEATURES</div>
<div class="pos-df-summary-compare color-compare">
</div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">11</div>
<div class="pos-df-summary-center">CATEGORICAL</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row ">
<div class="pos-df-summary-source color-source">4</div>
<div class="pos-df-summary-center">NUMERICAL</div>
<div class="pos-df-summary-compare color-compare"></div>
</div>
<div class="dataframe-summary-row row-colored">
<div class="pos-df-summary-source color-source">5</div>
<div class="pos-df-summary-center">TEXT</div>
<div class="pos-df-summary-compare color-compare"></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 >
</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">session_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>
<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>
<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>
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_c2fba8e7f37a
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_524fb92e1585
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_5ae63c380360
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_51696202d025
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_6177bc767b1d
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_848d0c5835de
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
sess_70c3e1e3e8cc
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(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>
<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>
<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">
2,449
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(24%)
</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">14</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_1340
</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">13</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_1973
</div>
</div>
<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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_225
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_1700
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_63
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_1743
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
user_1889
</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">9,916</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(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">start_time</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>
<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>
<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">
9,966
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(>99%)
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
23/10/2025 14:50
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
03/30/2025 10:21
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
03/28/2025 08:28
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
23/03/2025 21:52
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
21/03/2025 22:12
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
05/08/2025 09:15
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
10/24/2025 23:07
</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">9,986</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(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-text"></div>
<span class="text-title-tab color-normal">end_time</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">
9,911
</div>
<div class="text-value color-source pos-base-stats__source-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">
89
</div>
<div class="text-value color-source pos-base-stats__source-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">
9,879
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(99%)
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
28/10/2025 03:53
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
01/01/2025 14:58
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
10/28/2025 21:11
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
28/10/2025 10:21
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
26/10/2025 05:33
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
03/25/2025 10:33
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
21/03/2025 21:11
</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">9,897</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(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-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">session_length_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">
9,902
</div>
<div class="text-value color-source pos-base-stats__source-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">
98
</div>
<div class="text-value color-source pos-base-stats__source-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">
5,428
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(54%)
</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>
</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">704k</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">7k</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">5k</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">6k</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">4k</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">2k</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">0k</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">-16k</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">720k</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">3,753</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">33,635</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">1.1B</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">288</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">16.6</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">55.6M</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-cat"></div>
<span class="text-title-tab color-normal ">region</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>
<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>
<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">
32
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f5 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-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-cat"></div>
<span class="text-title-tab color-normal ">platform</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>
<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>
<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">
32
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f6 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-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 ">gpu_model</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">
3,327
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(33%)
</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">
6,673
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-orange"></div>
(67%)
</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>
</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-numeric"></div>
<span class="text-title-tab color-normal">avg_fps</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>
<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>
<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">
5,848
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(58%)
</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>
</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">10,000</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">105</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">82</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">93</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">65</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">51</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">32</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">5</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">9,995</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">31.2</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">516</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">266k</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">364</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">19.1</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">930k</div>
</div>
</div>
<span class="minigraph-f8 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-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-numeric"></div>
<span class="text-title-tab color-normal">ping_ms</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">
9,811
</div>
<div class="text-value color-source pos-base-stats__source-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">
189
</div>
<div class="text-value color-source pos-base-stats__source-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">
6,411
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(64%)
</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>
</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">627</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">103</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">71</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">55</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">50</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">30</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>
<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>
</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">627</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">40.7</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">46.7</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">2,181</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">45.6</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">5.40</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">538k</div>
</div>
</div>
<span class="minigraph-f9 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-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 ">map_name</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>
<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>
<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>
</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 ">crash_flag</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>
<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>
<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>
</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-text"></div>
<span class="text-title-tab color-normal">purchase_amount</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">
9,895
</div>
<div class="text-value color-source pos-base-stats__source-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">
105
</div>
<div class="text-value color-source pos-base-stats__source-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">
1,725
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(17%)
</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">6,211</div>
<div class="pair-pos__perc">63%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
0.0
</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">851</div>
<div class="pair-pos__perc">9%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
0,00
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
2.42
</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">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
6.06
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
7.41
</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">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
7.29
</div>
</div>
<div class="breakdown-row text-value " style="width: 618px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
0.44
</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">2,796</div>
<div class="pair-pos__perc">28%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 519px;">
(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-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-cat"></div>
<span class="text-title-tab color-normal ">party_size</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>
<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>
<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">
7
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f13 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-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-cat"></div>
<span class="text-title-tab color-normal ">input_method</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>
<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>
<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">
30
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f14 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-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-cat"></div>
<span class="text-title-tab color-normal ">build_version</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">
8,346
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(83%)
</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">
1,654
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-yellow"></div>
(17%)
</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">
5
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(<1%)
</div>
</div>
</div>
<span class="minigraph-f15 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-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_featured_event</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>
<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>
<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>
</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">device_temp_c</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">
9,508
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(95%)
</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">
492
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-green"></div>
(5%)
</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">
549
</div>
<div class="text-value color-source pos-base-stats__source-perc">
(5%)
</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>
</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">100.0</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">68.6</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">60.3</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">55.8</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">55.2</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">50.5</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">43.7</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">26.3</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">73.7</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">9.80</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">8.35</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">69.7</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">2.82</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">0.967</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">530k</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 ">session_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>
<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>
<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">
12
</div>
<div class="text-value color-source pos-base-stats__source-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 ">is_long_session</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>
<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>
<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>
</div>
<span class="minigraph-f19 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 "DataFrame"]</span><br>
&#9632; <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>&#8226; <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 "None"]</span><br>
&#9632; <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>&#8226; <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">session_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>
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_c2fba8e7f37a
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_524fb92e1585
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_5ae63c380360
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_51696202d025
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_6177bc767b1d
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_848d0c5835de
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_70c3e1e3e8cc
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_83fbcbd4e9fc
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_240138d1f663
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_109247ddb04e
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_8fa33011acd5
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_1dbaf4e0db40
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_70af6227382f
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_0762a5e67dc0
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_fcddc136c807
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_ddf4f76e8dc4
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_88599b83a60a
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_98f3ed1431aa
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_75e20a501bcc
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_23e99c00beb4
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_2bc6e0f6a945
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_5f84aa4f2904
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_99a606c9d4f0
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_562c2fc73e2d
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_bfd0eded2c2d
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_184a11710a84
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_64f855687625
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_3f698b322748
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_d56b7083197d
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_09f4380434a7
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_9d8c6f3bec6c
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_0397ea44995e
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_0c473995c5a7
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_48bb4f6aeb21
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_a95f169e87eb
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_e30a55b67437
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_81ed7af37e62
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_088ad7a7363e
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_7d2b5eabc337
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_2d90691c4dff
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_e5ceb0ea73ba
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_639e76e512de
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_a5b70769121b
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_2f3b1d1fbc26
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_f3c8af0867c1
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_b1bd144223d8
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_e33c4cf33361
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_f9b78084424b
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_c8bb0fa7ae1c
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_adb049068156
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_617f39c87367
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_320a7b81da83
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_ceb3e6251e93
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_f85a057ea485
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_6c125d361d7a
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_0b22a268f076
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_434946e26c93
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_ae48b2a82b41
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_5b588ac7b229
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
sess_8cd31f3ec6d5
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(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>
</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">14</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1340
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1973
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_225
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1700
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_63
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1743
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1889
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1319
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1614
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_384
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1703
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2072
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1194
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2406
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_889
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_451
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2438
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2261
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1647
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1730
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1203
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_544
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2162
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1069
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1297
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1171
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_874
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1684
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1828
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_628
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1556
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1478
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1773
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1279
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_65
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_548
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2447
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1618
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_757
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1258
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_894
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2118
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_190
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2092
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2282
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1873
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1571
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_149
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1474
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1308
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_486
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1265
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_429
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_974
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_615
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1709
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2129
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_2462
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1004
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
user_1070
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">9,443</div>
<div class="pair-pos__perc">94%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(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">start_time</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>
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
23/10/2025 14:50
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/30/2025 10:21
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/28/2025 08:28
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
23/03/2025 21:52
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
21/03/2025 22:12
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
05/08/2025 09:15
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/24/2025 23:07
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
04/29/2025 00:06
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
30/10/2025 02:18
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-22T19:26:19Z
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/03/2025 02:37
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/24/2025 00:52
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-27T14:17:20Z
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
22/10/2025 15:57
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
22/10/2025 16:54
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
06/07/2025 15:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/26/2025 16:25
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/28/2025 04:27
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-20T15:15:56Z
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/27/2025 00:51
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/30/2025 07:27
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/27/2025 21:06
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/23/2025 09:52
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/24/2025 18:44
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
21/03/2025 17:34
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
26/03/2025 13:08
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/27/2025 09:23
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
27/10/2025 04:55
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/27/2025 04:03
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/25/2025 05:55
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/25/2025 02:43
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/20/2025 04:07
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/24/2025 17:37
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/26/2025 01:57
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-04T06:08:32Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-05-29 12:59:52-05:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
21/03/2025 20:22
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
05/16/2025 20:42
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/22/2025 04:39
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/03/2025 05:38
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
02/11/2025 15:47
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-06-17T20:51:16Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
22/03/2025 16:12
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/29/2025 19:45
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
06/05/2025 16:39
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/17/2025 11:52
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-04-11T18:15:35Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-08 03:05:52+00:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-12-10 01:15:30-05:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
29/03/2025 03:29
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-25 21:24:38-05:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-27 11:30:10+00:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
27/07/2025 08:20
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/02/2025 16:55
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-06-23T04:18:45Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-29T13:48:40Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-11-08T12:17:09Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-01-30 18:15:33+00:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/02/2025 10:54
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-04 15:58:55-05:00
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">9,906</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(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-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">end_time</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">
89
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-green"></div>
(<1%)
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/10/2025 03:53
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
01/01/2025 14:58
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/28/2025 21:11
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/10/2025 10:21
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
26/10/2025 05:33
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/25/2025 10:33
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
21/03/2025 21:11
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
07/04/2025 20:07
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/27/2025 05:07
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
05/04/2025 13:28
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
06/09/2025 19:06
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
25/10/2025 11:18
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
30/03/2025 10:33
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
05/10/2025 04:15
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/29/2025 06:32
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/21/2025 22:34
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/10/2025 03:43
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/21/2025 21:44
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/29/2025 17:12
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
26/10/2025 03:34
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/29/2025 20:22
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
22/03/2025 15:16
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
04/03/2025 17:37
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/24/2025 06:44
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/24/2025 19:52
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/30/2025 06:36
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
24/10/2025 11:15
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/23/2025 11:56
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
12/06/2025 13:20
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/21/2025 06:18
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/22/2025 15:59
</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">2</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/20/2025 02:41
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
27/10/2025 13:22
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-22 06:37:31+00:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
08/11/2025 13:22
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-04 07:10:19+01:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/29/2025 13:47
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-29 22:38:48+00:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
06/23/2025 04:45
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/02/2025 11:57
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-25T21:50:57Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-30T17:51:22Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
05/29/2025 14:38
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/21/2025 20:46
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
06/17/2025 20:57
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
29/03/2025 04:43
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
11/02/2025 16:19
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-06-05T17:05:51Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
28/02/2025 17:17
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
11/04/2025 19:43
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-10-28 11:04:37-05:00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-29T20:20:12Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
27/07/2025 10:09
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
17/03/2025 13:32
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/10/2025 07:10
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
12/10/2025 03:01
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-03-22T17:31:31Z
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10/30/2025 12:39
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
03/01/2025 15:20
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2025-08-21T07:09:11Z
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">9,819</div>
<div class="pair-pos__perc">>99%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(Other)
</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">session_length_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">
98
</div>
<div class="text-value color-source pos-base-stats__source-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">session_length_s</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">ping_ms</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">device_temp_c</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">avg_fps</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">is_long_session</div>
<div class="pos-assoc-row__source text-label color-source">0.11</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">platform</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">input_method</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">region</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">map_name</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">session_type</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_featured_event</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">crash_flag</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_version</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">gpu_model</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">party_size</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">92.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">94.0</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"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</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"><0.1%</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">8</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">114.0</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"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">118.0</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"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">100.0</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"><0.1%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">70.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">73.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">27.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">84.0</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>
<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">7</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">2783.0</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>
</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">-16000.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-7145.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6803.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6777.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6743.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6572.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6518.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6304.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6155.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-6073.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5837.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5723.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5698.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5618.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">-5427.0</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>
</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">704200.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">696500.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">691100.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">677700.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">676900.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">672700.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">667700.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">664900.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">650200.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">623400.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">622200.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">614300.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">593500.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">575800.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">566800.0</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>
</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-cat"></div>
<span class="text-title-tab">region</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>
</div>
<span class="detail_graph-f5-
pos-detail-cat-graph" id="detail_graph-f5"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f5"
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: px">
<!--None-->
</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;">EU</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,207</div>
<div class="pair-pos__perc">12%</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;">sa-east-1</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,193</div>
<div class="pair-pos__perc">12%</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;">APAC</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,161</div>
<div class="pair-pos__perc">12%</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;">us-east</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,160</div>
<div class="pair-pos__perc">12%</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;">Us-West</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">803</div>
<div class="pair-pos__perc">8%</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;">us-west</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">404</div>
<div class="pair-pos__perc">4%</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;">apac</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>
<!-- 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;">eu</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">373</div>
<div class="pair-pos__perc">4%</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;">US-EAST</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">336</div>
<div class="pair-pos__perc">3%</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;">SA-EAST-1</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">335</div>
<div class="pair-pos__perc">3%</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;">US-WEST</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">321</div>
<div class="pair-pos__perc">3%</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;">Us-east</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">279</div>
<div class="pair-pos__perc">3%</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;">Sa-east-1</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">273</div>
<div class="pair-pos__perc">3%</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;">Us-west</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">271</div>
<div class="pair-pos__perc">3%</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;">Apac</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">269</div>
<div class="pair-pos__perc">3%</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;">Eu</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">268</div>
<div class="pair-pos__perc">3%</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;"> EU </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">138</div>
<div class="pair-pos__perc">1%</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">834</div>
<div class="pair-pos__perc">8%</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>
<!-- Targets -->
</div>
<div id="detail_cat_end-5"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f5">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f5">
<!-- 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%;">region<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name<!----></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">platform<!----></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">input_method<!----></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">session_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">crash_flag<!----></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">party_size<!----></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">gpu_model<!----></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_featured_event<!----></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_long_session<!----></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_version<!----></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 region:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name</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">platform</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">input_method</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">session_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">crash_flag</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_long_session</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">party_size</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_featured_event</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">gpu_model</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_version</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%;">region<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">ping_ms</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">session_length_s</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">device_temp_c</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">avg_fps</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-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-cat"></div>
<span class="text-title-tab">platform</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>
</div>
<span class="detail_graph-f6-
pos-detail-cat-graph" id="detail_graph-f6"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f6"
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: px">
<!--None-->
</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;">PC</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,294</div>
<div class="pair-pos__perc">13%</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;">pc</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,293</div>
<div class="pair-pos__perc">13%</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;">Switch</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">922</div>
<div class="pair-pos__perc">9%</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;">Mobile</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">905</div>
<div class="pair-pos__perc">9%</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;">Xbox</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">880</div>
<div class="pair-pos__perc">9%</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;">PlayStation</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">730</div>
<div class="pair-pos__perc">7%</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;">Pc</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">426</div>
<div class="pair-pos__perc">4%</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;">PLAYSTATION</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>
<!-- 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;">xbox</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>
<!-- 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;">SWITCH</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">303</div>
<div class="pair-pos__perc">3%</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;">MOBILE</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">298</div>
<div class="pair-pos__perc">3%</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;">switch</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">294</div>
<div class="pair-pos__perc">3%</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;">XBOX</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>
<!-- 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;">playstation</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>
<!-- 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;">mobile</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">274</div>
<div class="pair-pos__perc">3%</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;">Playstation</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">228</div>
<div class="pair-pos__perc">2%</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;"> pc </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">139</div>
<div class="pair-pos__perc">1%</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">824</div>
<div class="pair-pos__perc">8%</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>
<!-- Targets -->
</div>
<div id="detail_cat_end-6"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f6">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f6">
<!-- 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%;">platform<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">gpu_model<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">map_name<!----></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">region<!----></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">input_method<!----></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">session_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">is_featured_event<!----></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">crash_flag<!----></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">party_size<!----></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_long_session<!----></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_version<!----></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 platform:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">gpu_model</div>
<div class="pos-assoc-row__source text-label color-source">0.22</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">map_name</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">region</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">input_method</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">session_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">is_long_session</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">crash_flag</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_featured_event</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">party_size</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_version</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%;">platform<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">session_length_s</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">ping_ms</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">device_temp_c</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">avg_fps</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-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">gpu_model</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">
6,673
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-orange"></div>
(67%)
</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: 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: 126px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">GeForce RTX-3060</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">581</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">GTX1080</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">568</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RTX-4090</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">558</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RTX 3060</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">556</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Intel Iris</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">541</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RX 6600</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">523</div>
<div class="pair-pos__perc">16%</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: 126px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 126px">
<div class="pair-pos__num dim">3,327</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%;">gpu_model<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">platform<!----></div>
<div class="pos-assoc-row__source text-label color-source">0.22</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">map_name<!----></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">region<!----></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">input_method<!----></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">session_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">party_size<!----></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">crash_flag<!----></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_long_session<!----></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_version<!----></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_featured_event<!----></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 gpu_model:</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">platform</div>
<div class="pos-assoc-row__source text-label color-source">0.52</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">map_name</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">region</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">input_method</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">session_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">is_long_session</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">party_size</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">crash_flag</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_version</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_featured_event</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%;">gpu_model<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">ping_ms</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">avg_fps</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">session_length_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">device_temp_c</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-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-numeric"></div>
<span class="text-title-tab">avg_fps</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>
</div>
<!-- BUTTONS -->
<div class="pos-detail-num-buttons">
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-5">5 </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-15">15 </button>
<button class="button-bin" data-target="detail_graph-f8"
data-new_class="detail_graph-f8-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f8-0
pos-detail-num-graph" id="detail_graph-f8"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f8">
<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">avg_fps</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">ping_ms</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">session_length_s</div>
<div class="pos-assoc-row__source text-label color-red">-0.00</div>
</div>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">device_temp_c</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">input_method</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">map_name</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">platform</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">region</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_featured_event</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">session_type</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_long_session</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_version</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">gpu_model</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">party_size</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">crash_flag</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">10000.0</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>
<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">8</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">81.99</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">54.78</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">61.53</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">49.58</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">46.95</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">68.28</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.33</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">43.31</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">60.62</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">75.05</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">66.46</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">58.86</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">66.73</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>
</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">5.0</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"><0.1%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.03</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">6.57</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.4</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.49</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.53</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">7.91</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.02</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.42</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.5</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">8.69</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.7</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.93</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">9.95</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">10.04</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>
</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">10000.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">136.16</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">133.36</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">133.06</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">132.98</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">131.96</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">130.76</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">130.62</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">130.43</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">129.94</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">129.01</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128.62</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128.59</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128.18</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">128.12</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>
</div>
</div>
</div>
</div>
<div class="isHidden container-feature-detail"
id="detail-f9" >
<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">ping_ms</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">
189
</div>
<div class="text-value color-source pos-base-stats__source-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-f9"
data-new_class="detail_graph-f9-0">Auto </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-5">5 </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-15">15 </button>
<button class="button-bin" data-target="detail_graph-f9"
data-new_class="detail_graph-f9-30">30 </button>
</div>
<!-- GRAPH -->
<span class="detail_graph-f9-0
pos-detail-num-graph" id="detail_graph-f9"></span>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f9">
<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">ping_ms</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">session_length_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">avg_fps</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">device_temp_c</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">map_name</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">region</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">platform</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">input_method</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">is_featured_event</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_long_session</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">gpu_model</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">crash_flag</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">session_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">party_size</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_version</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">29.95</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">34.99</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.39</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.86</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">36.8</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">23.68</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">29.98</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">54.69</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">48.44</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">58.79</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">62.19</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.52</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">27.79</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">55.07</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">45.7</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>
</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>
<div class="assoc-row row-colored">
<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">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">0.03</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>
<div class="assoc-row row-colored">
<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">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">0.07</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>
<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">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">0.13</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.15</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.16</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.17</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.18</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2</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>
<div class="assoc-row ">
<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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.22</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">0.23</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>
</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">627.05</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">592.66</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">589.67</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">588.81</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">556.28</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">549.14</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">543.74</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">542.89</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">542.05</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">540.23</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">539.1</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">538.81</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">521.51</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">514.84</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">504.75</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>
</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">map_name</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>
</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: px">
<!--None-->
</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;">ocean</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,019</div>
<div class="pair-pos__perc">10%</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;">desert</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">984</div>
<div class="pair-pos__perc">10%</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;">cave</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">951</div>
<div class="pair-pos__perc">10%</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;">CITY-XL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">951</div>
<div class="pair-pos__perc">10%</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;">Forest</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">907</div>
<div class="pair-pos__perc">9%</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;">Arena-1</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">871</div>
<div class="pair-pos__perc">9%</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;">FOREST</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>
<!-- 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;">OCEAN</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">312</div>
<div class="pair-pos__perc">3%</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;">arena-1</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>
<!-- 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;">forest</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">303</div>
<div class="pair-pos__perc">3%</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;">DESERT</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">301</div>
<div class="pair-pos__perc">3%</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;">CAVE</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">292</div>
<div class="pair-pos__perc">3%</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;">ARENA-1</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>
<!-- 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;">city-xl</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">282</div>
<div class="pair-pos__perc">3%</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;">Desert</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">243</div>
<div class="pair-pos__perc">2%</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;">Ocean</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">236</div>
<div class="pair-pos__perc">2%</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;">Cave</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">236</div>
<div class="pair-pos__perc">2%</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">1,198</div>
<div class="pair-pos__perc">12%</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>
<!-- 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%;">map_name<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region<!----></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">platform<!----></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">input_method<!----></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">session_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">is_featured_event<!----></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">gpu_model<!----></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">crash_flag<!----></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">party_size<!----></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_long_session<!----></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_version<!----></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 map_name:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region</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">platform</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">input_method</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">session_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">is_featured_event</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">crash_flag</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_long_session</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">party_size</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">gpu_model</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_version</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%;">map_name<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">device_temp_c</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">ping_ms</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">avg_fps</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">session_length_s</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">crash_flag</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>
</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: 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: px">
<!--None-->
</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">2,398</div>
<div class="pair-pos__perc">24%</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">2,309</div>
<div class="pair-pos__perc">23%</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;">0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 60px">
<div class="pair-pos__num dim">2,297</div>
<div class="pair-pos__perc">23%</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">2,178</div>
<div class="pair-pos__perc">22%</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">224</div>
<div class="pair-pos__perc">2%</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">205</div>
<div class="pair-pos__perc">2%</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">197</div>
<div class="pair-pos__perc">2%</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">192</div>
<div class="pair-pos__perc">2%</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>
<!-- 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%;">crash_flag<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region<!----></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">map_name<!----></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">platform<!----></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">input_method<!----></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_featured_event<!----></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_long_session<!----></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">gpu_model<!----></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">session_type<!----></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">party_size<!----></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_version<!----></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 crash_flag:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region</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">map_name</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">platform</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">input_method</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_featured_event</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_long_session</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">session_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">party_size</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">gpu_model</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_version</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%;">crash_flag<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">session_length_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">ping_ms</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">avg_fps</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">device_temp_c</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-f12">
<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">purchase_amount</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">
105
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-green"></div>
(1%)
</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">6,211</div>
<div class="pair-pos__perc">63%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.0
</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">851</div>
<div class="pair-pos__perc">9%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0,00
</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: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.42
</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">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
6.06
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
7.41
</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">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
7.29
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">7</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.44
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
4.09
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.83
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.46
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.34
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.57
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.27
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.3
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.06
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.45
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.1
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.87
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
10.78
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.76
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
3.92
</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">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.29
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">6</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.96
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.11
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.69
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.09
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
4.34
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.58
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.13
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
3.26
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.73
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.02
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.63
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.92
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.18
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.18
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.25
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.97
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.59
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.22
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
6.59
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.14
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.34
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.06
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.08
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.37
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.79
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
4.51
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.74
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.19
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.99
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.94
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.82
</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">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
0.66
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">5</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
2.35
</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">4</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
3.69
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">4</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
5.17
</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">4</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
1.58
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">4</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
8.86
</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">4</div>
<div class="pair-pos__perc"><1%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
8.22
</div>
</div>
<div class="breakdown-row text-value " style="width: 800px;">
<div class="pair__col color-source">
<div class="pair-pos__num dim">2,520</div>
<div class="pair-pos__perc">25%</div>
</div>
<div class="pair__col color-compare" style="position: absolute; left: px">
<div class="pair-pos__num dim">-</div>
<div class="pair-pos__perc">-</div>
</div>
<div class="summary-text color-normal" style="left: 99px; width: 701px;">
(Other)
</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-cat"></div>
<span class="text-title-tab">party_size</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>
</div>
<span class="detail_graph-f13-
pos-detail-cat-graph" id="detail_graph-f13"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f13"
style="top: 504.0px;"> <!-- height: 406.0px;"> 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: 48px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">3,949</div>
<div class="pair-pos__perc">39%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">2,448</div>
<div class="pair-pos__perc">24%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">1,609</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">1,023</div>
<div class="pair-pos__perc">10%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">5</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">569</div>
<div class="pair-pos__perc">6%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">213</div>
<div class="pair-pos__perc">2%</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">9</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">189</div>
<div class="pair-pos__perc">2%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</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: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 48px">
<div class="pair-pos__num dim">10,000</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-13"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f13">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f13">
<!-- 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%;">party_size<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region<!----></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">map_name<!----></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">input_method<!----></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">platform<!----></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">gpu_model<!----></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">session_type<!----></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_long_session<!----></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">crash_flag<!----></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_featured_event<!----></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_version<!----></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 party_size:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region</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">map_name</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">platform</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">input_method</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">session_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">is_long_session</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">gpu_model</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">crash_flag</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_featured_event</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_version</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%;">party_size<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">avg_fps</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">device_temp_c</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">session_length_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">ping_ms</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-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-cat"></div>
<span class="text-title-tab">input_method</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>
</div>
<span class="detail_graph-f14-
pos-detail-cat-graph" id="detail_graph-f14"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f14"
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: px">
<!--None-->
</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;">controllr</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,196</div>
<div class="pair-pos__perc">12%</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;">kbm</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,187</div>
<div class="pair-pos__perc">12%</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;">KB/M</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,165</div>
<div class="pair-pos__perc">12%</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;">touch</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,159</div>
<div class="pair-pos__perc">12%</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;">controller</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">1,125</div>
<div class="pair-pos__perc">11%</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;">KBM</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>
<!-- 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;">TOUCH</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">380</div>
<div class="pair-pos__perc">4%</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;">kb/m</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">351</div>
<div class="pair-pos__perc">4%</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;">CONTROLLER</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">348</div>
<div class="pair-pos__perc">3%</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;">CONTROLLR</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">340</div>
<div class="pair-pos__perc">3%</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;">Controller</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">302</div>
<div class="pair-pos__perc">3%</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;">Kb/m</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>
<!-- 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;">Kbm</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>
<!-- 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;">Touch</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">270</div>
<div class="pair-pos__perc">3%</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;">Controllr</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">254</div>
<div class="pair-pos__perc">3%</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;"> controllr </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">151</div>
<div class="pair-pos__perc">2%</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;"> touch </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 102px">
<div class="pair-pos__num dim">142</div>
<div class="pair-pos__perc">1%</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">679</div>
<div class="pair-pos__perc">7%</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>
<!-- Targets -->
</div>
<div id="detail_cat_end-14"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f14">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f14">
<!-- 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%;">input_method<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name<!----></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">platform<!----></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">region<!----></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">session_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">is_featured_event<!----></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">gpu_model<!----></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">party_size<!----></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_long_session<!----></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">crash_flag<!----></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_version<!----></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 input_method:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name</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">platform</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">region</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">session_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">is_long_session</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_featured_event</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">party_size</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">crash_flag</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">gpu_model</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_version</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%;">input_method<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">device_temp_c</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">avg_fps</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">ping_ms</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">session_length_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-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-cat"></div>
<span class="text-title-tab">build_version</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">
1,654
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-yellow"></div>
(17%)
</div>
</div>
</div>
<span class="detail_graph-f15-
pos-detail-cat-graph" id="detail_graph-f15"
style="top: 75px;"></span>
<div class="pos-detail-cat-breakdown " id="detail_breakdown-f15"
style="top: 384.0px;"> <!-- height: 526.0px;"> 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: 90px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.3.2</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">1,705</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">latest</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">1,695</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.4</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">1,667</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">v1.3.2</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">1,648</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.4.0-beta</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">1,631</div>
<div class="pair-pos__perc">20%</div>
</div>
<!-- Targets -->
</div>
<div class="breakdown-row text-value" style="width:553px">
</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: 90px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 90px">
<div class="pair-pos__num dim">8,346</div>
<div class="pair-pos__perc">100%</div>
</div>
<!-- Targets -->
</div>
<div id="detail_cat_end-15"></div>
</div>
<!-- ASSOCIATIONS -->
<div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f15">
<!-- no background for target in vertical mode -->
<span class="bg-extra-column"></span>
<div class="container-detail-assoc " id="cat-assoc-window-f15">
<!-- 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%;">build_version<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region<!----></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">map_name<!----></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">input_method<!----></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">platform<!----></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_featured_event<!----></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">gpu_model<!----></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">session_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">is_long_session<!----></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">crash_flag<!----></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">party_size<!----></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 build_version:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">region</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">map_name</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">platform</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">input_method</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_featured_event</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_long_session</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">session_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">crash_flag</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">gpu_model</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">party_size</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%;">build_version<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">avg_fps</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">session_length_s</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">device_temp_c</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">ping_ms</div>
<div class="pos-assoc-row__source text-label color-source">0.01</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_featured_event</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>
</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: px">
<!--None-->
</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">2,430</div>
<div class="pair-pos__perc">24%</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">2,369</div>
<div class="pair-pos__perc">24%</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">2,337</div>
<div class="pair-pos__perc">23%</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">2,331</div>
<div class="pair-pos__perc">23%</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">144</div>
<div class="pair-pos__perc">1%</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">133</div>
<div class="pair-pos__perc">1%</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">131</div>
<div class="pair-pos__perc">1%</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">125</div>
<div class="pair-pos__perc">1%</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>
<!-- 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_featured_event<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name<!----></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">input_method<!----></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">region<!----></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">platform<!----></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">session_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">crash_flag<!----></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_version<!----></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">party_size<!----></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_long_session<!----></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">gpu_model<!----></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_featured_event:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name</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">region</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">input_method</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">platform</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">session_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">crash_flag</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_version</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_long_session</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">party_size</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">gpu_model</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_featured_event<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">avg_fps</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">ping_ms</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">session_length_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">device_temp_c</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">device_temp_c</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">
492
</div>
<div class="text-value color-source pos-base-stats__source-perc" style="color:#202020">
<div class="ic-missing-green"></div>
(5%)
</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">device_temp_c</div>
<div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">session_length_s</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">avg_fps</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">ping_ms</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">map_name</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">input_method</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">platform</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">region</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">session_type</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_long_session</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">party_size</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_featured_event</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">gpu_model</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">build_version</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">crash_flag</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">55.1</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">70</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">54.4</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">66</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">54.2</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">66</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">54.8</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">65</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">51.9</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">65</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">53.4</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">65</div>
<div class="pos-detail-num-pair-pos__perc">0.7%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">53.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">63</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">53.0</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">61</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.1</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">61</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.9</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">61</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.5</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">60</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">56.8</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">60</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">53.9</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">59</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">52.1</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">59</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</div>
</div>
</div>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">52.9</div>
<div class="pos-detail-num-source-pair color-source text-value">
<div class="pos-detail-num-pair-pos__num dim">58</div>
<div class="pos-detail-num-pair-pos__perc">0.6%</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">26.3</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">27.4</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.4</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">30.5</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">31.7</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.6</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">32.7</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.1</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.3</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.5</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.7</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">33.8</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">34.0</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>
</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">100.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98.7</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">98.0</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">96.8</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">95.4</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">94.5</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">94.2</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93.4</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93.2</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">93.0</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92.9</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92.8</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92.6</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>
<div class="assoc-row row-colored">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92.5</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>
<div class="assoc-row ">
<div class="pos-num-detail-row__label text-label pos-detail-num-label">92.4</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>
</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">session_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>
</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: 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: 78px"></div>
<!-- Targets -->
<div class="pair__header color-compare" style="position: absolute; left: px">
<!--None-->
</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ranked</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">2,807</div>
<div class="pair-pos__perc">28%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">casual</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">2,670</div>
<div class="pair-pos__perc">27%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Casual</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">919</div>
<div class="pair-pos__perc">9%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RANKED</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">906</div>
<div class="pair-pos__perc">9%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CASUAL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">860</div>
<div class="pair-pos__perc">9%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Ranked</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">847</div>
<div class="pair-pos__perc">8%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> casual </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">306</div>
<div class="pair-pos__perc">3%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> ranked </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">295</div>
<div class="pair-pos__perc">3%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> Ranked </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">107</div>
<div class="pair-pos__perc">1%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> CASUAL </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">103</div>
<div class="pair-pos__perc">1%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> RANKED </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">96</div>
<div class="pair-pos__perc"><1%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> Casual </div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<div class="pair-pos__num dim">84</div>
<div class="pair-pos__perc"><1%</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: 78px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 78px">
<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%;">session_type<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">input_method<!----></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">map_name<!----></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">platform<!----></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">region<!----></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_featured_event<!----></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">gpu_model<!----></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_long_session<!----></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">party_size<!----></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">crash_flag<!----></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_version<!----></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 session_type:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name</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">input_method</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">platform</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">region</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_featured_event</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_long_session</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">party_size</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">gpu_model</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">crash_flag</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_version</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%;">session_type<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">session_length_s</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">avg_fps</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">device_temp_c</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">ping_ms</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">is_long_session</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>
</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: px">
<!--None-->
</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;">Yes</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 60px">
<div class="pair-pos__num dim">1,533</div>
<div class="pair-pos__perc">15%</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">1,500</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: 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">1,494</div>
<div class="pair-pos__perc">15%</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">1,472</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: 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">1,022</div>
<div class="pair-pos__perc">10%</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">1,001</div>
<div class="pair-pos__perc">10%</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;">0</div>
<!-- Freq -->
<div class="pair__col color-source" style="left: 60px">
<div class="pair-pos__num dim">994</div>
<div class="pair-pos__perc">10%</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">984</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: 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>
<!-- 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%;">is_long_session<br>
PROVIDES INFORMATION ON...</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">input_method<!----></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">map_name<!----></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">region<!----></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">platform<!----></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">session_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">crash_flag<!----></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">gpu_model<!----></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">party_size<!----></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_featured_event<!----></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_version<!----></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_long_session:</div>
<hr>
<div class="assoc-row " >
<div class="pos-assoc-row__label text-label">map_name</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">region</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">platform</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">input_method</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">session_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">crash_flag</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">party_size</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_version</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_featured_event</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">gpu_model</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_long_session<br>
CORRELATION RATIO WITH...</div>
<hr>
<div class="assoc-row " style="font-weight: bold;">
<div class="pos-assoc-row__label text-label">session_length_s</div>
<div class="pos-assoc-row__source text-label color-source">0.11</div>
</div>
<div class="assoc-row row-colored" >
<div class="pos-assoc-row__label text-label">avg_fps</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">ping_ms</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">device_temp_c</div>
<div class="pos-assoc-row__source text-label color-source">0.02</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>
Reference in New Issue View Git Blame Copy Permalink