{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d4dc5dcf",
   "metadata": {},
   "source": [
    "# Anscombe's Quartet\n",
    "\n",
    "Set of four scatter plots that are identical in terms of simple descriptive statistics, but clearly very different. Here is the [Wikipedia article](https://en.wikipedia.org/wiki/Anscombe%27s_quartet).\n",
    "\n",
    "It's even mentioned in the [Matplotlib documentation](https://matplotlib.org/stable/gallery/specialty_plots/anscombe.html)!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c24a85a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "acc5e213",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>I_x</th>\n",
       "      <th>I_y</th>\n",
       "      <th>II_x</th>\n",
       "      <th>II_y</th>\n",
       "      <th>III_x</th>\n",
       "      <th>III_y</th>\n",
       "      <th>IV_x</th>\n",
       "      <th>IV_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>8.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.14</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.46</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>6.95</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.77</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.0</td>\n",
       "      <td>7.58</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.74</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.74</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9.0</td>\n",
       "      <td>8.81</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.77</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.11</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11.0</td>\n",
       "      <td>8.33</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.26</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.81</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>14.0</td>\n",
       "      <td>9.96</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.10</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.84</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>7.24</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.08</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.39</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12.0</td>\n",
       "      <td>10.84</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.13</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.15</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.0</td>\n",
       "      <td>4.82</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.26</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.42</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.68</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.74</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.73</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     I_x    I_y  II_x  II_y  III_x  III_y  IV_x   IV_y\n",
       "0   10.0   8.04  10.0  9.14   10.0   7.46   8.0   6.58\n",
       "1    8.0   6.95   8.0  8.14    8.0   6.77   8.0   5.76\n",
       "2   13.0   7.58  13.0  8.74   13.0  12.74   8.0   7.71\n",
       "3    9.0   8.81   9.0  8.77    9.0   7.11   8.0   8.84\n",
       "4   11.0   8.33  11.0  9.26   11.0   7.81   8.0   8.47\n",
       "5   14.0   9.96  14.0  8.10   14.0   8.84   8.0   7.04\n",
       "6    6.0   7.24   6.0  6.13    6.0   6.08   8.0   5.25\n",
       "7    4.0   4.26   4.0  3.10    4.0   5.39  19.0  12.50\n",
       "8   12.0  10.84  12.0  9.13   12.0   8.15   8.0   5.56\n",
       "9    7.0   4.82   7.0  7.26    7.0   6.42   8.0   7.91\n",
       "10   5.0   5.68   5.0  4.74    5.0   5.73   8.0   6.89"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {\n",
    "    'I_x': [10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0],\n",
    "    'I_y': [8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68],\n",
    "    'II_x': [10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0],\n",
    "    'II_y': [9.14, 8.14, 8.74, 8.77, 9.26, 8.10, 6.13, 3.10, 9.13, 7.26, 4.74],\n",
    "    'III_x': [10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0],\n",
    "    'III_y': [7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73],\n",
    "    'IV_x': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 19.0, 8.0, 8.0, 8.0],\n",
    "    'IV_y': [6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.50, 5.56, 7.91, 6.89]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "479d750a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figures = ['I', 'II', 'III', 'IV']\n",
    "\n",
    "fig, axs = plt.subplots(2, 2, figsize=(8, 8))\n",
    "axs = axs.flatten()\n",
    "\n",
    "fig.suptitle(\"Anscombe's Quartet\", fontsize=16)\n",
    "\n",
    "for ax, figure in zip(axs, figures):\n",
    "    x = df[f'{figure}_x']\n",
    "    y = df[f'{figure}_y']\n",
    "    \n",
    "    # Calculate statistics\n",
    "    mean_x = x.mean()\n",
    "    mean_y = y.mean()\n",
    "    var_x = x.var(ddof=1)  # Sample variance\n",
    "    var_y = y.var(ddof=1)  # Sample variance\n",
    "    corr = x.corr(y)\n",
    "    \n",
    "    # Calculate linear regression\n",
    "    coeffs = np.polyfit(x, y, 1)\n",
    "    poly = np.poly1d(coeffs)\n",
    "    x_line = np.linspace(x.min(), x.max(), 100)\n",
    "    y_line = poly(x_line)\n",
    "    \n",
    "    # Plot\n",
    "    ax.set_title(f'Figure {figure}', fontsize=12)\n",
    "    ax.scatter(x, y, color='black')\n",
    "    ax.plot(x_line, y_line, 'r-', linewidth=2, label='Linear Regression')\n",
    "    ax.set_xlabel('x')\n",
    "    ax.set_ylabel('y')\n",
    "    \n",
    "    # Add statistics text\n",
    "    stats_text = f'Mean x: {mean_x:.2f}\\n'\n",
    "    stats_text += f'Mean y: {mean_y:.2f}\\n'\n",
    "    stats_text += f'Var x: {var_x:.2f}\\n'\n",
    "    stats_text += f'Var y: {var_y:.2f}\\n'\n",
    "    stats_text += f'Corr: {corr:.3f}'\n",
    "    \n",
    "    ax.text(0.05, 0.95, stats_text, transform=ax.transAxes,\n",
    "            fontsize=9, verticalalignment='top',\n",
    "            bbox=dict(facecolor='lightgrey'))\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
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