{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Task 0 — Datasaurus Warm‑Up (Starter)\n",
"\n",
"**Goal:** Show why we must *always* visualize by comparing groups with nearly identical summary statistics but very different shapes when plotted.\n",
"\n",
"This starter uses `datasaurus_task0.csv` (long format) with four groups: `dino`, `star`, `circle`, `bullseye`.\n",
"\n",
"**What to do:**\n",
"1. Load the CSV (as strings first).\n",
"2. Compute basic stats per group (mean, std, correlation).\n",
"3. Generate a SweetViz report (optional but recommended).\n",
"4. Plot x vs y for each group (facet grid).\n",
"5. Write *2–4 sentences* reflecting on why summary stats were misleading.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 0) (Optional) Install packages in this environment\n",
"Uncomment if needed."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": [
"setup"
]
},
"outputs": [],
"source": [
"!pip install -q numpy pandas seaborn matplotlib sweetviz dtale\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1) Load the dataset\n",
"Load as strings first (safer), then coerce numeric columns."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
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"
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" \n",
" \n",
" | \n",
" dataset | \n",
" x | \n",
" y | \n",
"
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" \n",
" \n",
" \n",
" | 0 | \n",
" dino | \n",
" 61.05620938387066 | \n",
" 50.000786041836115 | \n",
"
\n",
" \n",
" | 1 | \n",
" dino | \n",
" 57.91495193642296 | \n",
" 59.204465996007286 | \n",
"
\n",
" \n",
" | 2 | \n",
" dino | \n",
" 61.47023196059987 | \n",
" 43.113610600617946 | \n",
"
\n",
" \n",
" | 3 | \n",
" dino | \n",
" 57.80035367010236 | \n",
" 47.24321395851151 | \n",
"
\n",
" \n",
" | 4 | \n",
" dino | \n",
" 53.58712459282577 | \n",
" 50.05299250969186 | \n",
"
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" \n",
"
\n",
"