Allegheny_County_PA_Benfords_Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "\n",
    "# Data downloaded as XLS from https://results.enr.clarityelections.com/PA/Allegheny/106267/web.264614/#/detail/0004\n",
    "# worksheet 1 saved to csv to pa_allegheny_county.csv\n",
    "\n",
    "data = pd.read_csv('data/pa_allegheny_county.csv', skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Unnamed: 0</th>\n",
       "      <th>Unnamed: 1</th>\n",
       "      <th>DEM Joseph R. Biden/Kamala D. Harris</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <th>REP Donald J. Trump/Mike R. Pence</th>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <th>Unnamed: 7</th>\n",
       "      <th>LIB Jo Jorgensen/Jeremy Spike Cohen</th>\n",
       "      <th>Unnamed: 9</th>\n",
       "      <th>Unnamed: 10</th>\n",
       "      <th>Write-in</th>\n",
       "      <th>Unnamed: 12</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>County</td>\n",
       "      <td>Registered Voters</td>\n",
       "      <td>Election Day</td>\n",
       "      <td>Absentee</td>\n",
       "      <td>Total Votes</td>\n",
       "      <td>Election Day</td>\n",
       "      <td>Absentee</td>\n",
       "      <td>Total Votes</td>\n",
       "      <td>Election Day</td>\n",
       "      <td>Absentee</td>\n",
       "      <td>Total Votes</td>\n",
       "      <td>Election Day</td>\n",
       "      <td>Absentee</td>\n",
       "      <td>Total Votes</td>\n",
       "      <td>Total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALEPPO</td>\n",
       "      <td>1388</td>\n",
       "      <td>166</td>\n",
       "      <td>351</td>\n",
       "      <td>517</td>\n",
       "      <td>347</td>\n",
       "      <td>152</td>\n",
       "      <td>499</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ASPINWALL DIST 1</td>\n",
       "      <td>861</td>\n",
       "      <td>209</td>\n",
       "      <td>253</td>\n",
       "      <td>462</td>\n",
       "      <td>184</td>\n",
       "      <td>27</td>\n",
       "      <td>211</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0         Unnamed: 1 DEM Joseph R. Biden/Kamala D. Harris  \\\n",
       "0            County  Registered Voters                         Election Day   \n",
       "1            ALEPPO               1388                                  166   \n",
       "2  ASPINWALL DIST 1                861                                  209   \n",
       "\n",
       "  Unnamed: 3   Unnamed: 4 REP Donald J. Trump/Mike R. Pence Unnamed: 6  \\\n",
       "0   Absentee  Total Votes                      Election Day   Absentee   \n",
       "1        351          517                               347        152   \n",
       "2        253          462                               184         27   \n",
       "\n",
       "    Unnamed: 7 LIB Jo Jorgensen/Jeremy Spike Cohen Unnamed: 9  Unnamed: 10  \\\n",
       "0  Total Votes                        Election Day   Absentee  Total Votes   \n",
       "1          499                                   6          3            9   \n",
       "2          211                                   2          4            6   \n",
       "\n",
       "       Write-in Unnamed: 12  Unnamed: 13 Unnamed: 14  \n",
       "0  Election Day    Absentee  Total Votes       Total  \n",
       "1             2           2            4        1029  \n",
       "2             1           3            4         683  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('data/pa_allegheny_county.csv', skiprows=2)\n",
    "data = data[data.columns[[0, 4, 7, 10]]]\n",
    "\n",
    "# first column is mislabled (not County)\n",
    "data.columns = ['Precinct', 'Joe Biden','Donald Trump', 'Jo Jorgensen']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>Joe Biden</th>\n",
       "      <th>Donald Trump</th>\n",
       "      <th>Jo Jorgensen</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Precinct</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALEPPO</th>\n",
       "      <td>517</td>\n",
       "      <td>499</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASPINWALL DIST 1</th>\n",
       "      <td>462</td>\n",
       "      <td>211</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASPINWALL DIST 2</th>\n",
       "      <td>313</td>\n",
       "      <td>126</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Joe Biden  Donald Trump  Jo Jorgensen\n",
       "Precinct                                               \n",
       "ALEPPO                  517           499             9\n",
       "ASPINWALL DIST 1        462           211             6\n",
       "ASPINWALL DIST 2        313           126             3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.set_index('Precinct')\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>candidate</th>\n",
       "      <th>count</th>\n",
       "      <th>Precinct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Joe Biden</td>\n",
       "      <td>517</td>\n",
       "      <td>ALEPPO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Joe Biden</td>\n",
       "      <td>462</td>\n",
       "      <td>ASPINWALL DIST 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Joe Biden</td>\n",
       "      <td>313</td>\n",
       "      <td>ASPINWALL DIST 2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   candidate  count          Precinct\n",
       "0  Joe Biden    517            ALEPPO\n",
       "1  Joe Biden    462  ASPINWALL DIST 1\n",
       "2  Joe Biden    313  ASPINWALL DIST 2"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unstacked_data = data.unstack().reset_index().rename(\n",
    "    columns={0: 'count', 'level_0': 'candidate'})\n",
    "unstacked_data = unstacked_data[['candidate', 'count', 'Precinct']]\n",
    "unstacked_data['count'] = unstacked_data['count'].astype(int)\n",
    "unstacked_data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Allegheny')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 317,
       "width": 923
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, axs = plt.subplots(1, 3, figsize=(16, 4))\n",
    "fig.tight_layout(rect=[0.1, 0., 0.9, 0.9])\n",
    "\n",
    "axs = np.array(axs).flatten()\n",
    "candidates = unstacked_data.candidate.unique()\n",
    "\n",
    "digit = np.arange(1, 10)\n",
    "\n",
    "for i in range(len(candidates)):\n",
    "\n",
    "    ax = axs[i]\n",
    "    candidate = candidates[i]\n",
    "    \n",
    "    N = len(data[data[candidate] > 0])\n",
    "    \n",
    "    # expected distribution, from benford's law, normalize by non-zero counts\n",
    "    expected = np.log10(1 + 1/digit) * N\n",
    "    \n",
    "    cur_data = unstacked_data\n",
    "    cur_data = cur_data.groupby(['candidate', 'Precinct']).sum()\n",
    "    digits = cur_data.loc[candidate]['count'].astype(str).str[0].astype(int)\n",
    "    digits = digits[digits > 0]\n",
    "    \n",
    "    v = digits.value_counts()\n",
    "    ax.bar(v.index, v.values)\n",
    "    ax.set_xticks(range(1, 10))\n",
    "    \n",
    "    ax.set_title(\"%s\" % (candidate))\n",
    "    ax.plot(digit, expected, marker='D', color='red', label='Expected (Benford\\'s law)')\n",
    "    \n",
    "    ax.set_title(\"%s, N=%d\" % (candidate, N))\n",
    "    ax.set_xlabel(\"Leading Digit\")\n",
    "    ax.set_ylabel(\"Frequency\")\n",
    "\n",
    "plt.legend(loc=3, bbox_to_anchor=(0.0, -0.25))\n",
    "plt.suptitle(\"Allegheny\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}