cr_eda_plots .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e71361fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b5414b1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = r'/Users/polinarozhkova/Desktop/GitHub/cr_eda_chicago/'\n",
    "final_merge_df = pd.read_csv(os.path.join(path, 'clean_data/merge_all.csv'))\n",
    "cr_reports = pd.read_excel(os.path.join(path, 'inputs/CR_from_CPD_Annual_Reports_copy.xlsx'))\n",
    "foia_df = 'inputs/FOIA_2019_to_2021_Clearance_Rates_Shooting_Homicides.xlsx'\n",
    "foia_hom = pd.read_excel((os.path.join(path, foia_df)), sheet_name=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c1125d4a",
   "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>source</th>\n",
       "      <th>year</th>\n",
       "      <th>homicide_count</th>\n",
       "      <th>total_cleared</th>\n",
       "      <th>clearance_rate</th>\n",
       "      <th>firearm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CPD Annual Report for 2001</td>\n",
       "      <td>2000</td>\n",
       "      <td>631</td>\n",
       "      <td>335.0</td>\n",
       "      <td>0.530903</td>\n",
       "      <td>471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CPD Annual Report for 2001</td>\n",
       "      <td>2001</td>\n",
       "      <td>666</td>\n",
       "      <td>361.0</td>\n",
       "      <td>0.542042</td>\n",
       "      <td>514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CPD Annual Report for 2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>648</td>\n",
       "      <td>301.0</td>\n",
       "      <td>0.464506</td>\n",
       "      <td>513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CPD Annual Report for 2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>600</td>\n",
       "      <td>304.0</td>\n",
       "      <td>0.506667</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CPD Annual Report for 2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>448</td>\n",
       "      <td>234.0</td>\n",
       "      <td>0.522321</td>\n",
       "      <td>337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CPD Annual Report for 2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>448</td>\n",
       "      <td>195.0</td>\n",
       "      <td>0.435268</td>\n",
       "      <td>339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CPD Annual Report for 2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>467</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.387580</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CPD Annual Report for 2007</td>\n",
       "      <td>2007</td>\n",
       "      <td>442</td>\n",
       "      <td>175.0</td>\n",
       "      <td>0.395928</td>\n",
       "      <td>325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CPD Annual Report for 2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>510</td>\n",
       "      <td>181.0</td>\n",
       "      <td>0.354902</td>\n",
       "      <td>412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CPD Annual Report for 2009</td>\n",
       "      <td>2009</td>\n",
       "      <td>461</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.347072</td>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CPD Annual Report for 2010</td>\n",
       "      <td>2010</td>\n",
       "      <td>437</td>\n",
       "      <td>148.0</td>\n",
       "      <td>0.338673</td>\n",
       "      <td>354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CPD Murder Report for 2011</td>\n",
       "      <td>2011</td>\n",
       "      <td>433</td>\n",
       "      <td>214.0</td>\n",
       "      <td>0.494226</td>\n",
       "      <td>361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>UCR FBI Crime Data Explorer</td>\n",
       "      <td>2012</td>\n",
       "      <td>500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>UCR FBI Crime Data Explorer</td>\n",
       "      <td>2013</td>\n",
       "      <td>414</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019 Perf Report</td>\n",
       "      <td>2014</td>\n",
       "      <td>420</td>\n",
       "      <td>211.0</td>\n",
       "      <td>0.502381</td>\n",
       "      <td>353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2019 Perf Report</td>\n",
       "      <td>2015</td>\n",
       "      <td>491</td>\n",
       "      <td>227.0</td>\n",
       "      <td>0.462322</td>\n",
       "      <td>404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CPD Annual Report for 2017</td>\n",
       "      <td>2016</td>\n",
       "      <td>769</td>\n",
       "      <td>219.0</td>\n",
       "      <td>0.284785</td>\n",
       "      <td>691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CPD Annual Report for 2017</td>\n",
       "      <td>2017</td>\n",
       "      <td>653</td>\n",
       "      <td>227.0</td>\n",
       "      <td>0.347626</td>\n",
       "      <td>603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CPD Annual Report for 2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>565</td>\n",
       "      <td>251.0</td>\n",
       "      <td>0.444248</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>CPD Annual Report for 2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>492</td>\n",
       "      <td>265.0</td>\n",
       "      <td>0.538618</td>\n",
       "      <td>442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CPD Annual Report for 2020</td>\n",
       "      <td>2020</td>\n",
       "      <td>770</td>\n",
       "      <td>354.0</td>\n",
       "      <td>0.459740</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>CPD Annual Report for 2021</td>\n",
       "      <td>2021</td>\n",
       "      <td>800</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         source   year  homicide_count  total_cleared  \\\n",
       "0     CPD Annual Report for 2001  2000             631          335.0   \n",
       "1     CPD Annual Report for 2001  2001             666          361.0   \n",
       "2     CPD Annual Report for 2002  2002             648          301.0   \n",
       "3     CPD Annual Report for 2003  2003             600          304.0   \n",
       "4     CPD Annual Report for 2004  2004             448          234.0   \n",
       "5     CPD Annual Report for 2005  2005             448          195.0   \n",
       "6     CPD Annual Report for 2006  2006             467          181.0   \n",
       "7     CPD Annual Report for 2007  2007             442          175.0   \n",
       "8     CPD Annual Report for 2008  2008             510          181.0   \n",
       "9     CPD Annual Report for 2009  2009             461          160.0   \n",
       "10    CPD Annual Report for 2010  2010             437          148.0   \n",
       "11    CPD Murder Report for 2011  2011             433          214.0   \n",
       "12  UCR FBI Crime Data Explorer   2012             500            NaN   \n",
       "13  UCR FBI Crime Data Explorer   2013             414            NaN   \n",
       "14              2019 Perf Report  2014             420          211.0   \n",
       "15              2019 Perf Report  2015             491          227.0   \n",
       "16    CPD Annual Report for 2017  2016             769          219.0   \n",
       "17    CPD Annual Report for 2017  2017             653          227.0   \n",
       "18    CPD Annual Report for 2018  2018             565          251.0   \n",
       "19    CPD Annual Report for 2019  2019             492          265.0   \n",
       "20    CPD Annual Report for 2020  2020             770          354.0   \n",
       "21    CPD Annual Report for 2021  2021             800          400.0   \n",
       "\n",
       "    clearance_rate  firearm  \n",
       "0         0.530903      471  \n",
       "1         0.542042      514  \n",
       "2         0.464506      513  \n",
       "3         0.506667      485  \n",
       "4         0.522321      337  \n",
       "5         0.435268      339  \n",
       "6         0.387580      385  \n",
       "7         0.395928      325  \n",
       "8         0.354902      412  \n",
       "9         0.347072      376  \n",
       "10        0.338673      354  \n",
       "11        0.494226      361  \n",
       "12             NaN      405  \n",
       "13             NaN      337  \n",
       "14        0.502381      353  \n",
       "15        0.462322      404  \n",
       "16        0.284785      691  \n",
       "17        0.347626      603  \n",
       "18        0.444248      475  \n",
       "19        0.538618      442  \n",
       "20        0.459740      692  \n",
       "21        0.500000      745  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cr_reports"
   ]
  },
  {
   "cell_type": "raw",
   "id": "66e45728",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "final_merge_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f734bc7",
   "metadata": {},
   "source": [
    "### Plot 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e1e2965",
   "metadata": {},
   "source": [
    "The number of homicides in data and number of homicides in the CPD annual reports don't always match\n",
    "this may be because clearance rates are calculated using # of incidents rather than the number of victims."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3f8e99b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def line_subplots(df, col_1, col_2, col_3, t_1, t_2, t_3):\n",
    "    plt.rcParams.update({'font.size': 9})\n",
    "    fig, ax = plt.subplots(figsize=(10, 6))\n",
    "    sns.set_style(\"darkgrid\")\n",
    "    ax.plot(df.year, col_1, label=t_1, color='gold')\n",
    "    ax.plot(df.year, col_2, label=t_2, color='lightcoral')\n",
    "    ax.plot(df.year, col_3, label=t_3, color='cornflowerblue')\n",
    "    ax.legend(loc='best')\n",
    "    ax.set_xlabel('Year')\n",
    "    ax.set_ylabel('Count')\n",
    "    ax.set_xticks(range(2001, 2022))\n",
    "    ax.set_title('Trends in Homicide and Clearance Counts 2001-2021', fontsize=15)\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "452086c9",
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "line_subplots(cr_reports, cr_reports.homicide_count, cr_reports.total_cleared,\n",
    "              cr_reports.firearm, 'Homicide', 'Cleared', 'Firearm')\n",
    "plt.savefig(os.path.join(path, 'plots/static_plot_2.eps'), format='eps', dpi=1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83505cc6",
   "metadata": {},
   "source": [
    "### Exceptional Clearances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce651f4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_cleared_df = final_merge_df[final_merge_df['cleared'] == 'Y']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67b5e161",
   "metadata": {},
   "outputs": [],
   "source": [
    "foia_hom['year_clear'] = foia_hom['DATE CLEARED'].dt.year\n",
    "foia_hom['year'] = foia_hom['INJURY DATE'].dt.year\n",
    "\n",
    "hom_year_df = pd.DataFrame(\n",
    "    foia_hom.groupby(['year_clear', 'year', 'CLEARED'])['RD'].count()).reset_index()\n",
    "\n",
    "clear_year_df = pd.DataFrame(\n",
    "    foia_hom.groupby(['year_clear', 'CLEARED'])['RD'].count()).reset_index()\n",
    "\n",
    "except_clear_year = pd.DataFrame(\n",
    "    foia_hom.groupby(['year_clear', 'CLEARED', 'CLEARED EXCEPTIONALLY'])\n",
    "    ['RD'].count()).reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb5ee0d8",
   "metadata": {},
   "source": [
    "### Plot 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f2b3ad6",
   "metadata": {},
   "outputs": [],
   "source": [
    "yr_month_map = pd.DataFrame(final_merge_df.groupby(['year', 'month'])\n",
    "                            ['case_number'].count()).reset_index()\n",
    "yr_month_map = yr_month_map.rename(\n",
    "    columns={'case_number': 'homicides'}).pivot('year', 'month', 'homicides')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cb69c191",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "sns.heatmap(yr_month_map, cmap='RdYlGn_r',\n",
    "            cbar_kws={'label': 'Count'})\n",
    "ax.set_yticklabels(ax.get_yticklabels(), rotation=0, fontsize=10)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=0, fontsize=10)\n",
    "ax.set_xlabel('Month')\n",
    "ax.set_ylabel('Year')\n",
    "plt.title('Homicide Count in Chicago 2001 - 2021', fontdict={'fontsize': 12}, pad=14)\n",
    "plt.savefig(os.path.join(path, 'plots/static_plot_1.png'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11ea706b",
   "metadata": {},
   "source": [
    "### Time to Clearance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3a1cf5b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "all_cleared_df['time_to_clear'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c72682ee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "all_cleared_df['time_to_clear'].sort_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a0ed0c8",
   "metadata": {},
   "source": [
    "Dropping incidents that were cleared immediately and likely administrative error of -17 days: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bae60828",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_cleared_df = all_cleared_df[all_cleared_df['time_to_clear'] > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c58a9776",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.histplot(data=all_cleared_df, x='time_to_clear', stat='count', bins='auto', cumulative=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a3bb118",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "cleared_fem = all_cleared_df[all_cleared_df['sex'] == 'F']\n",
    "cleared_fem"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bea68a3",
   "metadata": {},
   "source": [
    "Sources:\n",
    "For heatmap: https://seaborn.pydata.org/generated/seaborn.heatmap.html;\n",
    "https://regenerativetoday.com/time-series-data-visualization-in-python/,\n",
    "For annotations:\n",
    "https://jessica-miles.medium.com/adding-annotations-to-visualizations-using-matplotlib-279e9c770baa\n",
    "https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.axvline.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5d273a9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3627b4ac",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}