importData_CM.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 382,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas; import numpy;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "complaints = pandas.read_csv('data/toy.complaint_data.csv'); \n",
    "officers = pandas.read_csv('data/toy.officer_data.csv'); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pandas.DataFrame.head(complaints)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first.name</th>\n",
       "      <th>last.name</th>\n",
       "      <th>appointed.date</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>rank</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KARINA</td>\n",
       "      <td>AARON</td>\n",
       "      <td>2005-09-26</td>\n",
       "      <td>HISPANIC</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1980</td>\n",
       "      <td>35.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZIZ</td>\n",
       "      <td>ABDELMAJEID</td>\n",
       "      <td>2008-04-28</td>\n",
       "      <td>A_OTHER</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1984</td>\n",
       "      <td>31.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1979</td>\n",
       "      <td>37.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROSEMARY</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>1986-08-11</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1952</td>\n",
       "      <td>63.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THOMAS</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2001-04-30</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1967</td>\n",
       "      <td>49.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  first.name    last.name appointed.date      race  gender  birth.year   age  \\\n",
       "0     KARINA        AARON     2005-09-26  HISPANIC  FEMALE        1980  35.0   \n",
       "1       AZIZ  ABDELMAJEID     2008-04-28   A_OTHER    MALE        1984  31.0   \n",
       "2   JENNIFER      ACCARDO     2004-11-29     WHITE  FEMALE        1979  37.0   \n",
       "3   ROSEMARY      ACCARDO     1986-08-11     WHITE  FEMALE        1952  63.0   \n",
       "4     THOMAS      ACCARDO     2001-04-30     WHITE    MALE        1967  49.0   \n",
       "\n",
       "             rank  primary  secondary  tertiary  officer_id  \n",
       "0  POLICE OFFICER        0          1         0        1139  \n",
       "1  POLICE OFFICER        0          0         1         434  \n",
       "2  POLICE OFFICER        0          0         1        2515  \n",
       "3  POLICE OFFICER        0          0         1        1149  \n",
       "4  POLICE OFFICER        0          1         0        2134  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pandas.DataFrame.head(officers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\cm953\\AppData\\Local\\Continuum\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3884.000000</td>\n",
       "      <td>3883.000000</td>\n",
       "      <td>3884.000000</td>\n",
       "      <td>3884.000000</td>\n",
       "      <td>3884.000000</td>\n",
       "      <td>3884.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1972.872039</td>\n",
       "      <td>42.552408</td>\n",
       "      <td>0.021112</td>\n",
       "      <td>0.245623</td>\n",
       "      <td>0.733265</td>\n",
       "      <td>1942.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.156141</td>\n",
       "      <td>8.162790</td>\n",
       "      <td>0.143777</td>\n",
       "      <td>0.430511</td>\n",
       "      <td>0.442310</td>\n",
       "      <td>1121.358551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1927.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1968.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>971.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1974.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1942.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1979.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2913.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1993.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3884.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        birth.year          age      primary    secondary     tertiary  \\\n",
       "count  3884.000000  3883.000000  3884.000000  3884.000000  3884.000000   \n",
       "mean   1972.872039    42.552408     0.021112     0.245623     0.733265   \n",
       "std       8.156141     8.162790     0.143777     0.430511     0.442310   \n",
       "min    1927.000000    23.000000     0.000000     0.000000     0.000000   \n",
       "25%    1968.000000          NaN     0.000000     0.000000     0.000000   \n",
       "50%    1974.000000          NaN     0.000000     0.000000     1.000000   \n",
       "75%    1979.000000          NaN     0.000000     0.000000     1.000000   \n",
       "max    1993.000000    88.000000     1.000000     1.000000     1.000000   \n",
       "\n",
       "        officer_id  \n",
       "count  3884.000000  \n",
       "mean   1942.500000  \n",
       "std    1121.358551  \n",
       "min       1.000000  \n",
       "25%     971.750000  \n",
       "50%    1942.500000  \n",
       "75%    2913.250000  \n",
       "max    3884.000000  "
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pandas.DataFrame.describe(officers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pandas.DataFrame.head(officers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000D020048>]], dtype=object)"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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U0Nq1a8suoUKUBWibyFMWgXLIKIu41FjU0KZNm8ouoUKUBWibyFMWgXLIKIu41FjUkE6d\nylMWoG0iT1kEyiGjLOJSYyEiIiLRqLEQERGRaNRY1ND69evLLqFClAVom8hTFoFyyCiLuNRY1NDw\n8HDZJVSIsgBtE3nKIlAOGWURly7pLVNKl/QWEameUi/pbWavN7Nrzew+M9tnZo0x5nzCzO43s2Ez\n+6qZHVNYfriZbTazITPbY2ZXm9mLC3NeaGZXmNmjZvawmV1mZkdMfBVFRERkqhzMRyFHAN8FzgZG\n7e4ws3OBlcB7gROAx4DtZnZYbtrFwFuA04GTgaOALxZe6kpgLnBKMvdk4NKDqFdERESmyIQbC3f/\nirt/3N2vAWyMKecA57v7de7+A+DdhMbhrQBmNgtYDqx295vc/Q5gGfBaMzshmTMXOBU4y92/4+63\nAKuAM8ysbeKr2VqGhobKLqFClAVom8hTFoFyyCiLuKIevGlmRwNtwNfSMXffDdwGzE+GjgcOLczZ\nCQzm5pwEPJw0HakbCHtIToxZcx0tX7687BIqRFmAtok8ZREoh4yyiCv2WSFthDf/XYXxXckygDnA\nk0nDMd6cNuCX+YXu/jTwUG6OjKOzs7PsEiqks+wCKkHbREZZBMohoyziqt3ppgsXLqTRaIx4zJ8/\nn23bto2Yt2PHDhqNUcedsmLFCrq6ukaM9fX10Wg0Ru0uW7du3ajznwcHB2k0GqPulrdx40bWrFkz\nYmx4eJhGo0FPT8+I8e7ubpYtWzaqtsWLFx/QenR0dFR6PYIbC893AKN/HrAC6CqM9SVzi7sv1zH6\nuhWzk7nFuxduBNYUxoaTuT0UjfWH50B/HlD+dtXR0THp7aoK6wH1//2Yqp9HR0dHLdYD9PuRdyDr\n0d3d/cx7Y1tbG41Gg9WrV4/6moM1qdNNzWwf8FZ3vzZ5fjTwU+DV7v793LxvAHe4+2ozeyPhY40X\n5vdamNndwEXu/k9mtgz4R3f/rdzy5wB7gT9Lju8o1qLTTacBnW4qIlI9pZ5u+mzc/S7gAcKZHMAz\nB2ueCNySDPUCvy7MOZZwt6hbk6FbgSPN7Ljcy59COFj0tpg1i4iISDwHcx2LI8zsVWb26mToZcnz\n302eXwx81MwWmdkfAJ8D7gWugWcO5uwCLjSzN5jZPOBfgZvd/fZkzgCwHfiMmb3GzF5L2Hfd7e4P\nHPzqtobirrjWpixA20SesgiUQ0ZZxHUweyyOB+4g7Hlw4FOE/cXnAbj7BkITcClh78JzgTe7+5O5\n11gNXAdcDXwDuJ9wTYu8dxA+GL8hmftN4H0HUW/L6eub1F6smlEWoG0iT1kEyiGjLOLSJb1lSukY\nCxGR6qnsMRYiIiLS2tRYiIiISDSHll2AyHTQ399fdgkHZPbs2bS3t5ddhoi0MDUWNdRoNLj22mvL\nLqMiGsBksvgFcAhLly6NVE9zzZgxk507+0c1F9omMsoiUA4ZZRGXGosaWrlyZdklVMhks3gE2Adc\nTrjZbpX1s3fvUoaGhkY1FtomMsoiUA4ZZRGXGosaWrBgQdklVEisLOYyPc5iGZu2iYyyCJRDRlnE\npYM3RUREJBo1FiIiIhKNGosaKt6Jr7UpC9A2kacsAuWQURZxqbGooe7u7rJLqBBlAdom8pRFoBwy\nyiIuNRY1tHXr1rJLqBBlAdom8pRFoBwyyiIuNRYiIiISjRoLERERiUaNhYiIiESjxqKGli1bVnYJ\nFaIsQNtEnrIIlENGWcSlxqKGdBW5PGUB2ibylEWgHDLKIi41FjW0ZMmSskuoEGUB2ibylEWgHDLK\nIi41FiIiIhKNGgsRERGJRo1FDfX09JRdQoUoC9A2kacsAuWQURZxqbGooQ0bNpRdQoUoC9A2kacs\nAuWQURZxqbGooS1btpRdQoUoC9A2kacsAuWQURZxqbGooZkzZ5ZdQoUoC9A2kacsAuWQURZxqbEQ\nERGRaNRYiIiISDRqLGpozZo1ZZdQIcoCtE3kKYtAOWSURVxqLGqovb297BIqRFmAtok8ZREoh4yy\niEuNRQ2tWrWq7BIqRFmAtok8ZREoh4yyiEuNhYiIiESjxkJERESiUWNRQwMDA2WXUCHKArRN5CmL\nQDlklEVcaixqaO3atWWXUCHKArRN5CmLQDlklEVcaixqaNOmTWWXUCHKArRN5CmLQDlklEVc0RsL\nMzvEzM43s5+Z2bCZ3WlmHx1j3ifM7P5kzlfN7JjC8sPNbLOZDZnZHjO72sxeHLveOtKpU3nKArRN\n5CmLQDlklEVczdhj8SHgfcDZwCsI+6LXmtnKdIKZnQusBN4LnAA8Bmw3s8Nyr3Mx8BbgdOBk4Cjg\ni02oV0RERCI5tAmvOR+4xt2/kjwfNLN3EBqI1DnA+e5+HYCZvRvYBbwVuMrMZgHLgTPc/aZkzjKg\n38xOcPfbm1C3iIiITFIz9ljcApxiZi8HMLNXAa8Frk+eHw20AV9Lv8DddwO3EZoSgOMJTU9+zk5g\nMDdHxrF+/fqyS6gQZQHaJvKURaAcMsoirmbssbgAmAUMmNnThOblI+6e3vC+DXDCHoq8XckygDnA\nk0nDMd4cGcfw8HDZJVSIsgBtE3nKIlAOGWURmbtHfQBnAPcAbwP+G/BOYAh4V7J8PvA0MKfwdVuB\n7uT/lwCPj/HatwH/MM737QB8zpw5vmjRohGPk046yb/0pS953vbt233RokVedPbZZ/tll102Yqy3\nt9cXLVrkDz744Ijxj3/8437BBReMGLvnnnt80aJF3t/fP2L8kksu8Q9+8IMjxh577DFftGiRf+tb\n3xoxfuWVV/qZZ545qra3v/3t0349ent7HXD4RwfPPbY7LCqMucPZDpcVxnqTuQ8Wxj/ucEFh7J5k\nbn9h/BKHDxbGHkvmfis3dnlS71i1vd3hSxVaj5BtT09Py21XWg+th9bjwNfjyiuvfOa9MX3PPPnk\nk5O/dXT4JPsA8/CmHI2ZDSZv/v+cG/sI8E53f2XyUchPgVe7+/dzc74B3OHuq83sjcANwAs9t9fC\nzO4GLnL3fxrj+3YAvb29vXR0dERdJ4mnr6+PefPmAb2EXrDqrgCWMj3q7QPmod8BEZmo7G8z89y9\nbzKv1YxjLGYS9kjk7Uu/l7vfBTwAnJIuTA7WPJFwfAaEv+K/Lsw5lnDu4K1NqFlEREQiaEZj8WXg\no2a20MxeamanAauB/5Obc3EyZ5GZ/QHwOeBe4Bp45mDOLuBCM3uDmc0D/hW42XVGyH4NDQ2VXUKF\nKAvQNpGnLALlkFEWcTWjsVgJXA1sBn4EbAD+Gfh4OsHdNwAbgUsJx008F3izuz+Ze53VwHXJa30D\nuJ9wTQvZj+XLl5ddQoUoC9A2kacsAuWQURZxRT8rxN0fA/4qeTzbvE6g81mWPwGsSh4yAZ2dnWWX\nUCGdZRdQCdomMsoiUA4ZZRGX7hVSQzpwL09ZgLaJPGURKIeMsoirGdexkBIMDg5Oi88J+/v7yy5B\nRESaSI1FDQwODnLssXPZu1cXeRERkXKpsaiBoaGhpKm4HJgLbCPcdqWKrgc+NoXfrws4awq/XzV1\ndXVx1lnKAZRFSjlklEVcaixqZS7hmIIuqntswVR/FNKHGotw8Rv94QyURaAcMsoiLh28WUubyy6g\nQpQFwObNyiGlLALlkFEWcamxEBERkWjUWIiIiEg0aixEREQkGjUWtdQou4AKURYAjYZySCmLQDlk\nlEVcaixqaWXZBVSIsgBYuVI5pJRFoBwyyiIuNRa1tKDsAipEWQAsWKAcUsoiUA4ZZRGXGgsRERGJ\nRo2FiIiIRKPGopa2lV1AhSgLgG3blENKWQTKIaMs4lJjUUvdZRdQIcoCoLtbOaSURaAcMsoiLjUW\ntbS17AIqRFkAbN2qHFLKIlAOGWURlxoLERERiUaNhYiIiESjxkJERESiUWNRS8vKLqBClAXAsmXK\nIaUsAuWQURZxqbGoJV1FLqMsQFcWzFMWgXLIKIu41FjU0pKyC6gQZQGwZIlySCmLQDlklEVcaixE\nREQkGjUWIiIiEo0ai1rqKbuAClEWAD09yiGlLALlkFEWcamxqKUNZRdQIcoCYMMG5ZBSFoFyyCiL\nuNRY1NKWsguoEGUBsGWLckgpi0A5ZJRFXGosamlm2QVUiLIAmDlTOaSURaAcMsoiLjUWIiIiEo0a\nCxEREYlGjUUtrSm7gApRFgBr1iiHlLIIlENGWcSlxqKW2ssuoEKUBUB7u3JIKYtAOWSURVxNaSzM\n7Cgz+7yZDZnZsJl9z8w6CnM+YWb3J8u/ambHFJYfbmabk9fYY2ZXm9mLm1Fv/awqu4AKURYAq1Yp\nh5SyCJRDRlnEFb2xMLMjgZuBJ4BTgbnAXwMP5+acC6wE3gucADwGbDezw3IvdTHwFuB04GTgKOCL\nsesVERGReA5twmt+CBh09/fkxu4pzDkHON/drwMws3cDu4C3AleZ2SxgOXCGu9+UzFkG9JvZCe5+\nexPqFhERkUlqxkchi4DvmNlVZrbLzPrM7Jkmw8yOBtqAr6Vj7r4buA2YnwwdT2h68nN2AoO5OTKu\ngbILqBBlATAwoBxSyiJQDhllEVczGouXAR8AdgILgH8GLjGzdyXL2wAn7KHI25UsA5gDPJk0HOPN\nkXGtLbuAClEWAGvXKoeUsgiUQ0ZZxNWMj0IOAW53948lz79nZr8PvB/4fBO+n4yyqewCKkRZAGza\npBxSyiJQDhllEVcz9lj8AugvjPWTnff3AGCEvRJ5c5Jl6ZzDkmMtxpszpoULF9JoNEY85s+fz7Zt\n20bM27FjB41GY9TXr1ixgq6urhFjfX19NBoNhoaGRoyvW7eO9evXjxgbHByk0WiM2rW2cePGUedK\nDw8P02g0Rt1Zr7u7m2XLlo2qbfHixWOux+rVqwsz24EVQFdhvA9oAEOF8XXA+sLYYDK3uItwI6Ov\nDTGczC3eIbAbGL0ewY2F5zuS1yia7HrA5NcDoHOMscXAtsJYs9bjwH8ejz/++Kjtqr29fcLbVV1+\nP4rr0d7eXov1gMn9PNrb22uxHjD5n0er/X50d3c/897Y1tZGo9EY433k4Jm7R3sxADO7AniJu/9R\nbuwi4DXu/rrk+f3AJ939ouT5LMLHHO929y8kzx8kHLz5pWTOsYQG5aSxDt5MTmft7e3tpaOjo7i4\n1vr6+pg3bx7QC1R93a8AljI9aoXpVW8fMI9W/B0QkcnJ3keY5+59k3mtZnwUchFws5l9GLgKOBF4\nD/DnuTkXAx81szuBu4HzgXuBayAczGlmXcCFZvYwsAe4BLhZZ4SIiIhUV/TGwt2/Y2anARcAHwPu\nAs5x9y25ORvMbCZwKXAk8C3gze7+ZO6lVgNPA1cDhwNfIexPlv1aD5xbdhEV0XpZ9PcXP4mEz372\ns5x55plTX8yzmD17dilXPFy/fj3nntta28RYlENGWcTVjD0WuPv1wPX7mdPJ2B9cp8ufIFw2UZdE\nm7DhsguokFbK4hfAISxdunTMpRs3bpzacvZjxoyZ7NzZP+XNxfBwK20T41MOGWURV1MaCynbeWUX\nUCGtlMUjwD7gcsIFb6usn717lzI0NDTljcV557XSNjE+5ZBRFnGpsRCpnblU/0BTEakr3d1URERE\nolFjUUvF6yK0MmURKIdU8XoCrUo5ZJRFXGosaml52QVUiLIIlENq+XJlAcohT1nEpcailjrLLqBC\nOssuoCI6yy6gMjo7O8suoRKUQ0ZZxKXGopZ04F5GWQTKIaWrkgbKIaMs4lJjISIiItGosRAREZFo\n1FjUUvEumq1MWQTKIVW8+2SrUg4ZZRGXGotamtSN6WpGWQTKIdXXpyxAOeQpi7jUWNTS5rILqBBl\nESiH1ObNygKUQ56yiEuNhYiIiESjxkJERESiUWMhIiIi0aixqKVG2QVUiLIIlEOq0VAWoBzylEVc\naixqaWXZBVSIsgiUQ2rlSmUByiFPWcSlxqKWFpRdQIUoi0A5pBYsUBagHPKURVxqLERERCQaNRYi\nIiISjRqLWtpWdgEVoiwC5ZDatk1ZgHLIUxZxqbGope6yC6gQZREoh1R3t7IA5ZCnLOJSY1FLW8su\noEKURaAcUlu3KgtQDnnKIi41FiIiIhKNGgsRERGJRo2FiIiIRKPGopaWlV1AhSiLQDmkli1TFqAc\n8pRFXGpzPZkWAAATsklEQVQsaklXkcsoi0A5pHSVxUA5ZJRFXGosamlJ2QVUiLIIlENqyRJlAcoh\nT1nEpcZCREREolFjISIiItGosailnrILqBBlESiHVE+PsgDlkKcs4lJjUUsbyi6gQpRFoBxSGzYo\nC1AOecoirqY3Fmb2ITPbZ2YXFsY/YWb3m9mwmX3VzI4pLD/czDab2ZCZ7TGzq83sxc2utx62lF1A\nhSiLQDmktmxRFqAc8pRFXE1tLMzsNcB7ge8Vxs8FVibLTgAeA7ab2WG5aRcDbwFOB04GjgK+2Mx6\n62Nm2QVUiLIIlENq5kxlAcohT1nE1bTGwsyeB1wOvAd4pLD4HOB8d7/O3X8AvJvQOLw1+dpZwHJg\ntbvf5O53EK7w81ozO6FZNYuIiMjkNHOPxWbgy+7+9fygmR0NtAFfS8fcfTdwGzA/GToeOLQwZycw\nmJsjIiIiFdOUxsLMzgBeDXx4jMVtgAO7CuO7kmUAc4Ank4ZjvDkyrjVlF1AhyiJQDqk1a5QFKIc8\nZRHXobFf0MxeQjg+4k3u/lTs15cD0V52ARWiLALlkGpvVxagHPKURVzN2GMxD3gR0GdmT5nZU8Af\nAeeY2ZOEvQ5G2CuRNwd4IPn/B4DDkmMtxpszpoULF9JoNEY85s+fz7Zt20bM27FjB41GY9TXr1ix\ngq6urhFjfX19NBoNhoaGRoyvW7eO9evXjxgbHByk0WgwMDAwYnzjxo2juuLh4WEajcaoc6i7u7vH\nvCnO4sWLx1yP1atXF2auAlYAXYXxPqABDBXG1wHrC2ODydyBwvhGRv/rdziZWzwXvJvxb351Y+H5\njuQ1iia7Hn/K5NcDoHOMscXAtsJYs9ZjIj+Pxxm9HqsY/+dRxnrcNWK0mb8fxd/zVatWTcvf89h/\nr1atWlWL9YDJ/zxWrVpVi/WAA/t5dHd3P/Pe2NbWRqPRGON9ZBLcPeoDOAJ4ZeFxO/DvwNxkzv2E\nAzPTr5lF+Gv4ttzzJ4DTcnOOBfYBJ4zzfTsA7+3t9VbT29vrgEOvg1f8cfk0qnW61Tudag3bbCv+\nvopUUfY+Qof75PqA6B+FuPtjwI/yY2b2GPCf7t6fDF0MfNTM7gTuBs4H7gWuSV5jt5l1ARea2cPA\nHuAS4GZ3vz12zSIiIhLHVF1500c8cd9A2Id7KeFskOcCb3b3J3PTVgPXAVcD3yDs5Th9Koqd/oq7\ny1uZsgiUQ6q4m7lVKYeMsohrShoLd/9jd/+rwlinux/l7jPd/VR3v7Ow/Al3X+Xus939+e7+Nnf/\n5VTUO/2tLbuAClEWgXJIrV2rLEA55CmLuHSvkFraVHYBFaIsAuWQ2rRJWYByyFMWcamxqCWdOpVR\nFoFySOnUwkA5ZJRFXGosREREJBo1FiIiIhKNGotaKl6UqJUpi0A5pIoXJWpVyiGjLOJSY1FLw2UX\nUCHKIlAOqeFhZQHKIU9ZxKXGopbOK7uAClEWgXJInXeesgDlkKcs4lJjISIiItGosRAREZFo1FjU\nUvEuk61MWQTKIVW8y2SrUg4ZZRGXGotaWl52ARWiLALlkFq+XFmAcshTFnGpsailzrILqJDOsguo\niM6yC6iMzs7OskuoBOWQURZxqbGopY6yC6gQZREoh1RHh7IA5ZCnLOJSYyEiIiLRqLEQERGRaNRY\n1FJX2QVUiLIIlEOqq0tZgHLIUxZxqbGopb6yC6gQZREoh1Rfn7IA5ZCnLOJSY1FLm8suoEKURaAc\nUps3KwtQDnnKIi41FiIiIhKNGgsRERGJRo2FiIiIRKPGopYaZRdQIcoiUA6pRkNZgHLIUxZxqbGo\npZVlF1AhyiJQDqmVK5UFKIc8ZRGXGotaWlB2ARWiLALlkFqwQFmAcshTFnGpsRAREZFo1FiIiIhI\nNGosamlb2QVUiLIIlENq2zZlAcohT1nEpcailrrLLqBClEWgHFLd3coClEOesohLjUUtbS27gApR\nFoFySG3dqixAOeQpi7jUWIiIiEg0aixEREQkGjUWIiIiEo0ai1paVnYBFaIsAuWQWrZMWYByyFMW\ncR1adgHSDLqKXEZZBNXMob+/f8q/58tf/nL6+vom9DWzZ8+mvb29SRWVQ1ebzCiLuKI3Fmb2YeA0\n4BXA48AtwLnu/uPCvE8A7wGOBG4GPuDud+aWHw5cCCwGDge2A2e7+y9j11w/S8ouoEKURVC1HH4B\nHMLSpUtL+e4f+chHJjR/xoyZ7NzZX6vmYsmSqm0T5VEWcTVjj8XrgY3Ad5LX/wdgh5nNdffHAczs\nXMJdkd4N3A38LbA9mfNk8joXA28GTgd2A5uBLyavLyLT2iPAPuByYG7JtexPP3v3LmVoaKhWjYVI\ns0RvLNx9Yf65mZ0J/BKYB/Qkw+cA57v7dcmcdwO7gLcCV5nZLGA5cIa735TMWQb0m9kJ7n577LpF\npAxzgY6yixCRiKbi4M0jAQceAjCzo4E24GvpBHffDdwGzE+Gjic0Pfk5O4HB3BwZV8/+p7QMZREo\nh4yyAOjpUQ4pZRFXUxsLMzPCRxo97v6jZLiN0GjsKkzflSwDmAM8mTQc482RcW0ou4AKURaBcsgo\nC4ANG5RDSlnE1ew9Fp8GXgmc0eTv84yFCxfSaDRGPObPnz/qJjM7duyg0WiM+voVK1bQ1dU1Yqyv\nr49Go8HQ0NCI8XXr1rF+/foRY4ODgzQaDQYGBkaMb9y4kTVr1owYGx4eptFojOqWu7u7xzz9afHi\nxWOux+rVqwsztwArgK7CeB/QAIYK4+uA9YWxwWTuQGF8I7CmMDaczC12/d2Mf5rjjYXnO5LXKJrs\nenySya8HQOcYY4sZfXOvZq3HRH4ejzN6PbYw/s+jjPW4vzAeY7s60PWY6O/Hv4z6TmX8nsf+e7Vl\ny5ZarAdM/uexZcuWWqwHHNjPo7u7+5n3xra2NhqNxhjvI5Pg7k15AJuAe4D2wvjRhKO2/rAw/g3g\nouT/3wg8DcwqzLkbOGec79cBeG9vr7ea3t5eBxx6Hbzij8unUa3TrV7V2pxH+P1qxb8t0jqy9xE6\n3Cf3/t+UPRZmtgn4U+CN7j5YaGTuAh4ATsnNnwWcSDg1FaAX+HVhzrFAO3BrM2oWERGRyWvGdSw+\nTThpvgE8ZmZzkkWPuvve5P8vBj5qZncS9kKcD9wLXAPg7rvNrAu40MweBvYAlwA3u84IERERqaxm\n7LF4PzCL8NHG/bnH29MJ7r6B8KHqpYSzQZ4LvNmza1gArAauA67OvdbpTai3hoqfVbcyZREoh4yy\nAEZ9Zt/KlEVczbiOxQE1K+7eydhHxKXLnwBWJQ+ZEF3EJ6MsAuWQURaALvaVoyzi0k3Iakm9WEZZ\nBMohoywAVq1SDillEZcaCxEREYlGjYWIiIhEo8ailooXUWplyiJQDhllAYy6CFMrUxZxqbGopbVl\nF1AhyiJQDhllAbB2rXJIKYu41FjU0qayC6gQZREoh4yyANi0STmklEVcaixqSadOZZRFoBwyygJ0\nimWesohLjYWIiIhEo8ZCREREolFjUUvFW1W3MmURKIeMsgBG3bK7lSmLuNRY1NJw2QVUiLIIlENG\nWQAMDyuHlLKIS41FLZ1XdgEVoiwC5ZBRFgDnnaccUsoiLjUWIiIiEo0aCxEREYlGjUUtDZVdQIUo\ni0A5ZJQFwNCQckgpi7jUWNTS8rILqBBlESiHjLIAWL5cOaSURVxqLGqps+wCKqSz7AIqorPsAiqk\ns+wCKqGzs7PsEipDWcSlxqKWOsouoEKURaAcMsoCoKNDOaSURVxqLERERCQaNRYiIiISzaFlF1BV\n119/PevX/2PZZRyQPXv2FEa6gLPKKKWClEWgHDLKAqCrq4uzzlIOoCxiU2Mxjo0bN/HNb/4EOLns\nUg7AXYXnfegPZ0pZBMohoywA+vr69GaaUBZxqbF4Vq8Brii7iANwJnB37vnmcsqoJGURKIfMwWXR\n398fuY7mmD17Nu3t7fudt3mztomUsohLjYWIyLP6BXAIS5cuLbuQAzJjxkx27uw/oOZCpBnUWIiI\nPKtHgH3A5cDckmvZn3727l3K0NCQGgspjRoLEZEDMhddA0Nk/3S6aS01yi6gQpRFoBwyygKg0VAO\nKWURlxqLWlpZdgEVoiwC5ZBRFgArVyqHlLKIS41FLS0ou4AKURaBcsgoC4AFC5RDSlnEpcZCRERE\nolFjISIiItGosailbWUXUCHKIlAOGWUBsG2bckgpi7jUWNTS+rILqBBlESiHjLIAWL9eOaSURVyV\nbyzMbIWZ3WVmj5vZt83sNWXXVH0vKruAClEWgXLIKAuAF71IOaSURVyVbizMbDHwKWAdcBzwPWC7\nmc0utTAREREZU6UbC2A1cKm7f87dB4D3A8PA8nLLEhERkbFUtrEws98A5gFfS8fc3YEbgPll1SUi\nIiLjq/K9QmYDzwF2FcZ3AceOMX8GxLu18aOPPkq4q+H/jvJ6zfXj5L/XA/3AzVT3du83J/9Na52K\n7zeZLKa63sl4tlqrtk2UmetEs5hO28BdAFx//fX7/Vt48803c8UV5W4ThxxyCPv27Su1BjjwLKpS\n74GYPXv2hI4dyW0vMyb7vS3sBKgeM/tt4D5gvrvflhtfD5zs7vML899Btf5yioiITDfvdPcrJ/MC\nVd5jMQQ8DcwpjM8BHhhj/nbgncDdwN6mViYiIlIvM4DfI7yXTkpl91gAmNm3gdvc/ZzkuQGDwCXu\n/slSixMREZFRqrzHAuBC4LNm1gvcTjhLZCbw2TKLEhERkbFVurFw96uSa1Z8gvARyHeBU939wXIr\nExERkbFU+qMQERERmV4qex0LERERmX7UWIiIiEg006qxMLMPm9ntZrbbzHaZ2ZfM7L+OMe8TZna/\nmQ2b2VfN7Jgy6m0mM3u/mX3PzB5NHreY2Z8U5tQ+hyIz+5CZ7TOzCwvjtc/CzNYl655//Kgwp/Y5\nAJjZUWb2eTMbStb1e2bWUZhT6yySmzcWt4d9ZrYxN6fWGaTM7BAzO9/Mfpas651m9tEx5tU+DzN7\nnpldbGZ3J+vZY2bHF+ZMKodp1VgArwc2AicCbwJ+A9hhZs9NJ5jZucBK4L3ACcBjhBuXHTb15TbV\nz4FzgQ7Cpc+/DlxjZnOhpXJ4RnLn2/cSblaXH2+lLH5AONC5LXm8Ll3QKjmY2ZGEy2U+AZwKzAX+\nGng4N6cVsjiebDtoA/4H4MBV0DIZpD4EvA84G3gFsBZYa2Yr0wktlEcXcArhuk+/D3wVuCG5KGWc\nHNx92j4Il/3eB7wuN3Y/sDr3fBbwOPD2suudgjz+E1jWijkAzwN2An8M3Ahc2GrbBOEuwH3PsrxV\ncrgAuGk/c1oii8I6Xwz8uBUzAL4MfKYwdjXwuVbKg3ARrKeAPymMfwf4RKwcptsei6IjCR34QwBm\ndjShM8/fuGw3cBs1vnFZspvvDMI1Pm5p0Rw2A19296/nB1swi5eb2X1m9lMzu9zMfhdaLodFwHfM\n7KrkI9M+M3tPurDFsgCeuanjOwn/Wm3FDG4BTjGzlwOY2auA1xJuANNKeRxKuAfXE4Xxx4HXxcqh\n0texeDZmZoQOvMfd08+R2wiNxlg3LmubwvKmhJn9PnAroQvdA5zm7jvNbD6tlcMZwKsJu36LWmmb\n+DZwJmHPzW8DncA3k+2klXJ4GfAB4FPA3xF2515iZk+4++dprSxSpwEvAP49ed5qGVxA+Jf3gJk9\nTTgM4CPuviVZ3hJ5uPuvzOxW4GNmNkBYv3cQmoafECmHadtYAJ8GXknoOlvVAPAqwh+MPwM+Z2Yn\nl1vS1DKzlxAazDe5+1Nl11Mmd89f4/8HZnY7cA/wdsK20ioOAW53948lz7+XNFfvBz5fXlmlWg78\nX3cf6z5LrWAx4Q30DOBHhH+I/JOZ3Z80m61kKfCvhJt8/hroA64kHKsXxbT8KMTMNgELgTe4+y9y\nix4AjAO/cdm05u6/dvefufsd7v4RwkGL59BaOcwDXgT0mdlTZvYU8EfAOWb2JKHTbpUsRnD3R4Ef\nA8fQWtvELxh9f/N+oD35/1bKAjNrJxzs/pnccEtlAGwALnD3L7j7D939CuAi4MPJ8pbJw93vcvc3\nAkcAv+vuJwGHAT8jUg7TrrFImoo/Bd7o7oP5Ze5+F2HlT8nNn0U4i+SWqayzJIcAh7dYDjcAf0D4\nF8irksd3gMuBV7l7+svSClmMYGbPIzQV97fYNnEzcGxh7FjC3ptW/DuxnNBgX58OtGAGMwl3y87b\nR/Ie2IJ54O6Pu/suM3sh4eypbdFyKPso1Qke0fppwiljryd0UOljRm7OWsLZEYsIbzjbCJ8dHVZ2\n/ZGz+Pskh5cSThn6B8JurT9upRzGyaZ4VkhLZAF8Ejg52Sb+O+E0sl3Ab7VYDscTDk77MPBfCLvA\n9wBntOA2YcDdwN+NsawlMkjW9d8Id8ZemPx+nAb8Evj7VssDWEBoJH6PcAryHYRm/Dmxcih9JScY\nyD5C11l8vLswr5Nwysww4d7yx5RdexOyuIyw6+pxQoe5I20qWimHcbL5er6xaJUsgG7g3mSbGCR8\nbnp0q+WQrOdC4PvJev4QWD7GnNpnkbxxPD3eurVCBsl6HkG4W/ZdhOsy/AQ4Dzi01fIA3gbcmfyd\nuA/4J+D5MXPQTchEREQkmml3jIWIiIhUlxoLERERiUaNhYiIiESjxkJERESiUWMhIiIi0aixEBER\nkWjUWIiIiEg0aixEREQkGjUWIiIiEo0aCxEREYlGjYWIiIhE8/8B53QWrKD5JwMAAAAASUVORK5C\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbe813c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pandas.DataFrame.hist(officers, 'age')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000D0F2D30>]], dtype=object)"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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U0Nq1a8suoUKUBWibyFMWgXLIKIu41FjU0KZNm8ouoUKUBWibyFMWgXLIKIu41FjUkE6d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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xad2ce10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "officers.hist(\"age\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first.name</th>\n",
       "      <th>last.name</th>\n",
       "      <th>appointed.date</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>rank</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KARINA</td>\n",
       "      <td>AARON</td>\n",
       "      <td>2005-09-26</td>\n",
       "      <td>HISPANIC</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1980</td>\n",
       "      <td>35.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZIZ</td>\n",
       "      <td>ABDELMAJEID</td>\n",
       "      <td>2008-04-28</td>\n",
       "      <td>A_OTHER</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1984</td>\n",
       "      <td>31.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1979</td>\n",
       "      <td>37.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROSEMARY</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>1986-08-11</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1952</td>\n",
       "      <td>63.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THOMAS</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2001-04-30</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1967</td>\n",
       "      <td>49.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  first.name    last.name appointed.date      race  gender  birth.year   age  \\\n",
       "0     KARINA        AARON     2005-09-26  HISPANIC  FEMALE        1980  35.0   \n",
       "1       AZIZ  ABDELMAJEID     2008-04-28   A_OTHER    MALE        1984  31.0   \n",
       "2   JENNIFER      ACCARDO     2004-11-29     WHITE  FEMALE        1979  37.0   \n",
       "3   ROSEMARY      ACCARDO     1986-08-11     WHITE  FEMALE        1952  63.0   \n",
       "4     THOMAS      ACCARDO     2001-04-30     WHITE    MALE        1967  49.0   \n",
       "\n",
       "             rank  primary  secondary  tertiary  officer_id  \n",
       "0  POLICE OFFICER        0          1         0        1139  \n",
       "1  POLICE OFFICER        0          0         1         434  \n",
       "2  POLICE OFFICER        0          0         1        2515  \n",
       "3  POLICE OFFICER        0          0         1        1149  \n",
       "4  POLICE OFFICER        0          1         0        2134  "
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "officers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crid</th>\n",
       "      <th>incident_date</th>\n",
       "      <th>beat_2012_geocoded</th>\n",
       "      <th>complaintcategory</th>\n",
       "      <th>finalfinding</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <th>2</th>\n",
       "      <td>1022797</td>\n",
       "      <td>01-Jan-2009  0:08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>03G-MISCELLANEOUS</td>\n",
       "      <td>EX</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1022797</td>\n",
       "      <td>01-Jan-2009  0:08</td>\n",
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       "      <td>EX</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1022797</td>\n",
       "      <td>01-Jan-2009  0:08</td>\n",
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       "      <td>EX</td>\n",
       "      <td>5</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "      crid      incident_date  beat_2012_geocoded  complaintcategory  \\\n",
       "0  1022797  01-Jan-2009  0:08                 NaN  03G-MISCELLANEOUS   \n",
       "1  1022797  01-Jan-2009  0:08                 NaN  03G-MISCELLANEOUS   \n",
       "2  1022797  01-Jan-2009  0:08                 NaN  03G-MISCELLANEOUS   \n",
       "3  1022797  01-Jan-2009  0:08                 NaN  03G-MISCELLANEOUS   \n",
       "4  1022797  01-Jan-2009  0:08                 NaN  03G-MISCELLANEOUS   \n",
       "\n",
       "  finalfinding  officer_id  \n",
       "0           EX           1  \n",
       "1           EX           2  \n",
       "2           EX           3  \n",
       "3           EX           4  \n",
       "4           EX           5  "
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <th>officer_id</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>11</td>\n",
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       "      <th>5</th>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
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       "      <td>3</td>\n",
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       "      <td>3</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
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       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
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       "      <th>10</th>\n",
       "      <td>6</td>\n",
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       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>3855</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3856</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3857</th>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3858</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3861</th>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3862</th>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3863</th>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <th>3865</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3866</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3868</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3869</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3870</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3871</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3872</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3873</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3874</th>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3875</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3876</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3877</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3878</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3879</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3880</th>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3881</th>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3882</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3883</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3884</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3884 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            crid  incident_date  beat_2012_geocoded  complaintcategory  \\\n",
       "officer_id                                                               \n",
       "1              1              1                   0                  1   \n",
       "2              3              3                   1                  3   \n",
       "3             11             11                   4                 11   \n",
       "4              4              4                   1                  4   \n",
       "5              2              2                   1                  2   \n",
       "6             15             15                   9                 14   \n",
       "7             10             10                   8                  8   \n",
       "8              3              3                   2                  3   \n",
       "9             20             20                  14                 20   \n",
       "10             6              6                   4                  6   \n",
       "11             4              4                   4                  4   \n",
       "12             1              1                   1                  1   \n",
       "13             1              1                   1                  1   \n",
       "14             1              1                   1                  1   \n",
       "15             9              9                   6                  9   \n",
       "16             3              3                   3                  3   \n",
       "17             4              4                   4                  4   \n",
       "18             7              7                   5                  7   \n",
       "19             5              5                   5                  5   \n",
       "20             1              1                   1                  1   \n",
       "21             8              8                   5                  8   \n",
       "22             2              2                   1                  2   \n",
       "23             1              1                   0                  1   \n",
       "24             3              3                   1                  3   \n",
       "25             6              6                   1                  6   \n",
       "26             1              1                   0                  1   \n",
       "27             7              7                   1                  7   \n",
       "28             1              1                   0                  1   \n",
       "29             1              1                   0                  1   \n",
       "30             2              2                   0                  1   \n",
       "...          ...            ...                 ...                ...   \n",
       "3855           1              1                   1                  1   \n",
       "3856           1              1                   1                  1   \n",
       "3857           1              1                   1                  1   \n",
       "3858           1              1                   1                  0   \n",
       "3859           1              1                   1                  0   \n",
       "3860           1              1                   1                  0   \n",
       "3861           1              1                   1                  1   \n",
       "3862           1              1                   0                  1   \n",
       "3863           1              1                   0                  1   \n",
       "3864           1              1                   0                  1   \n",
       "3865           1              1                   1                  0   \n",
       "3866           1              1                   1                  0   \n",
       "3867           1              1                   1                  0   \n",
       "3868           1              1                   1                  1   \n",
       "3869           1              1                   1                  1   \n",
       "3870           1              1                   1                  0   \n",
       "3871           1              1                   1                  0   \n",
       "3872           1              1                   1                  1   \n",
       "3873           1              1                   1                  0   \n",
       "3874           1              1                   1                  0   \n",
       "3875           1              1                   1                  0   \n",
       "3876           1              1                   1                  0   \n",
       "3877           1              1                   1                  0   \n",
       "3878           1              1                   0                  1   \n",
       "3879           1              1                   1                  0   \n",
       "3880           1              1                   1                  0   \n",
       "3881           1              1                   1                  0   \n",
       "3882           1              1                   1                  0   \n",
       "3883           1              1                   1                  0   \n",
       "3884           1              1                   1                  0   \n",
       "\n",
       "            finalfinding  \n",
       "officer_id                \n",
       "1                      1  \n",
       "2                      3  \n",
       "3                     11  \n",
       "4                      3  \n",
       "5                      2  \n",
       "6                     13  \n",
       "7                      7  \n",
       "8                      3  \n",
       "9                     19  \n",
       "10                     6  \n",
       "11                     4  \n",
       "12                     1  \n",
       "13                     1  \n",
       "14                     1  \n",
       "15                     7  \n",
       "16                     3  \n",
       "17                     4  \n",
       "18                     7  \n",
       "19                     5  \n",
       "20                     1  \n",
       "21                     8  \n",
       "22                     2  \n",
       "23                     1  \n",
       "24                     2  \n",
       "25                     5  \n",
       "26                     1  \n",
       "27                     4  \n",
       "28                     1  \n",
       "29                     1  \n",
       "30                     1  \n",
       "...                  ...  \n",
       "3855                   1  \n",
       "3856                   1  \n",
       "3857                   1  \n",
       "3858                   0  \n",
       "3859                   0  \n",
       "3860                   0  \n",
       "3861                   1  \n",
       "3862                   0  \n",
       "3863                   0  \n",
       "3864                   0  \n",
       "3865                   0  \n",
       "3866                   0  \n",
       "3867                   0  \n",
       "3868                   1  \n",
       "3869                   1  \n",
       "3870                   0  \n",
       "3871                   0  \n",
       "3872                   1  \n",
       "3873                   0  \n",
       "3874                   0  \n",
       "3875                   0  \n",
       "3876                   0  \n",
       "3877                   0  \n",
       "3878                   0  \n",
       "3879                   0  \n",
       "3880                   0  \n",
       "3881                   0  \n",
       "3882                   0  \n",
       "3883                   0  \n",
       "3884                   0  \n",
       "\n",
       "[3884 rows x 5 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints.groupby('officer_id').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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69Pb2vvDe2NbWRq1Wo7Ozc8zXHKpJnW5qZvuAM939luT5ccC/AW909x9m5n0LuNfdO83s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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xbe6c2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = officers['age'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x.title = \"age dist\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xbcd0550>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.set_xlabel(\"Ages\")\n",
    "x.set_ylabel(\"Number\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first.name</th>\n",
       "      <th>last.name</th>\n",
       "      <th>appointed.date</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>rank</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KARINA</td>\n",
       "      <td>AARON</td>\n",
       "      <td>2005-09-26</td>\n",
       "      <td>HISPANIC</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1980</td>\n",
       "      <td>35.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZIZ</td>\n",
       "      <td>ABDELMAJEID</td>\n",
       "      <td>2008-04-28</td>\n",
       "      <td>A_OTHER</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1984</td>\n",
       "      <td>31.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1979</td>\n",
       "      <td>37.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROSEMARY</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>1986-08-11</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1952</td>\n",
       "      <td>63.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THOMAS</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2001-04-30</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1967</td>\n",
       "      <td>49.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  first.name    last.name appointed.date      race  gender  birth.year   age  \\\n",
       "0     KARINA        AARON     2005-09-26  HISPANIC  FEMALE        1980  35.0   \n",
       "1       AZIZ  ABDELMAJEID     2008-04-28   A_OTHER    MALE        1984  31.0   \n",
       "2   JENNIFER      ACCARDO     2004-11-29     WHITE  FEMALE        1979  37.0   \n",
       "3   ROSEMARY      ACCARDO     1986-08-11     WHITE  FEMALE        1952  63.0   \n",
       "4     THOMAS      ACCARDO     2001-04-30     WHITE    MALE        1967  49.0   \n",
       "\n",
       "             rank  primary  secondary  tertiary  officer_id  \n",
       "0  POLICE OFFICER        0          1         0        1139  \n",
       "1  POLICE OFFICER        0          0         1         434  \n",
       "2  POLICE OFFICER        0          0         1        2515  \n",
       "3  POLICE OFFICER        0          0         1        1149  \n",
       "4  POLICE OFFICER        0          1         0        2134  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "officers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = complaints.groupby('officer_id').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb539ba8>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Gi8Ay3dUtUwuoJ7JMLaCeyDK1lKSrQuZMV4WIiEhOuipEREREQtJgISIiIsVosAhs9+7d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\nIiIiUowGCxERESlGg4WIiIgU8/8BoNi//tH/4EQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xba002e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y['crid'].hist(bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    " x = officers.merge(y, left_on='officer_id', right_index = 1, how = 'outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first.name</th>\n",
       "      <th>last.name</th>\n",
       "      <th>appointed.date</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>rank</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "      <th>crid</th>\n",
       "      <th>incident_date</th>\n",
       "      <th>beat_2012_geocoded</th>\n",
       "      <th>complaintcategory</th>\n",
       "      <th>finalfinding</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KARINA</td>\n",
       "      <td>AARON</td>\n",
       "      <td>2005-09-26</td>\n",
       "      <td>HISPANIC</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1980</td>\n",
       "      <td>35.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1139</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZIZ</td>\n",
       "      <td>ABDELMAJEID</td>\n",
       "      <td>2008-04-28</td>\n",
       "      <td>A_OTHER</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1984</td>\n",
       "      <td>31.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1979</td>\n",
       "      <td>37.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2515</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROSEMARY</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>1986-08-11</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1952</td>\n",
       "      <td>63.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1149</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THOMAS</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2001-04-30</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1967</td>\n",
       "      <td>49.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2134</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  first.name    last.name appointed.date      race  gender  birth.year   age  \\\n",
       "0     KARINA        AARON     2005-09-26  HISPANIC  FEMALE        1980  35.0   \n",
       "1       AZIZ  ABDELMAJEID     2008-04-28   A_OTHER    MALE        1984  31.0   \n",
       "2   JENNIFER      ACCARDO     2004-11-29     WHITE  FEMALE        1979  37.0   \n",
       "3   ROSEMARY      ACCARDO     1986-08-11     WHITE  FEMALE        1952  63.0   \n",
       "4     THOMAS      ACCARDO     2001-04-30     WHITE    MALE        1967  49.0   \n",
       "\n",
       "             rank  primary  secondary  tertiary  officer_id  crid  \\\n",
       "0  POLICE OFFICER        0          1         0        1139     7   \n",
       "1  POLICE OFFICER        0          0         1         434     9   \n",
       "2  POLICE OFFICER        0          0         1        2515     1   \n",
       "3  POLICE OFFICER        0          0         1        1149     1   \n",
       "4  POLICE OFFICER        0          1         0        2134     5   \n",
       "\n",
       "   incident_date  beat_2012_geocoded  complaintcategory  finalfinding  \n",
       "0              7                   6                  7             7  \n",
       "1              9                   6                  8             8  \n",
       "2              1                   0                  1             1  \n",
       "3              1                   0                  1             1  \n",
       "4              5                   4                  5             5  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crid</th>\n",
       "      <th>incident_date</th>\n",
       "      <th>beat_2012_geocoded</th>\n",
       "      <th>finalfinding</th>\n",
       "      <th>officer_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>complaintcategory</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>01A-USE OF PROFANITY</th>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>49</td>\n",
       "      <td>58</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01B-RACIAL/ETHNIC, ETC.</th>\n",
       "      <td>114</td>\n",
       "      <td>114</td>\n",
       "      <td>97</td>\n",
       "      <td>107</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01C-MISCELLANEOUS</th>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>30</td>\n",
       "      <td>39</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02B-INTOXICATED OFF DUTY</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02D-D.U.I. - OFF DUTY</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>02G-MISCELLANEOUS</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03A-FIRST AMENDMENT</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03B-SEARCH OF PERSON WITHOUT WARRANT</th>\n",
       "      <td>598</td>\n",
       "      <td>598</td>\n",
       "      <td>506</td>\n",
       "      <td>557</td>\n",
       "      <td>598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT</th>\n",
       "      <td>1492</td>\n",
       "      <td>1492</td>\n",
       "      <td>236</td>\n",
       "      <td>1441</td>\n",
       "      <td>1492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03D-ILLEGAL ARREST</th>\n",
       "      <td>1632</td>\n",
       "      <td>1632</td>\n",
       "      <td>1179</td>\n",
       "      <td>1478</td>\n",
       "      <td>1632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>03G-MISCELLANEOUS</th>\n",
       "      <td>1715</td>\n",
       "      <td>1715</td>\n",
       "      <td>820</td>\n",
       "      <td>1604</td>\n",
       "      <td>1715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04A-BONDING/BOOKING/PROCESSING</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04B-ARREST/IMPROPER</th>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>39</td>\n",
       "      <td>79</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04C-EXCESSIVE DETENTION</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04D-SEARCH, PERSON/PROPERTY</th>\n",
       "      <td>130</td>\n",
       "      <td>130</td>\n",
       "      <td>87</td>\n",
       "      <td>99</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04E-PRISONER'S PROPERTY - INVENTORY/RECEIPT</th>\n",
       "      <td>535</td>\n",
       "      <td>535</td>\n",
       "      <td>458</td>\n",
       "      <td>490</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04F-ESCAPE</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>42</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04G-TELEPHONE - ATTORNEY/RELATIVE PRIVILEGES</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04H-PROPER CARE, INJURY/DEATH</th>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>51</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04J-MISCELLANEOUS</th>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>25</td>\n",
       "      <td>55</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05A-ARRESTEE - DURING ARREST</th>\n",
       "      <td>1531</td>\n",
       "      <td>1531</td>\n",
       "      <td>1308</td>\n",
       "      <td>1470</td>\n",
       "      <td>1531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP</th>\n",
       "      <td>515</td>\n",
       "      <td>515</td>\n",
       "      <td>430</td>\n",
       "      <td>500</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05C-ARRESTEE - LOCKUP/DETENTION</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05D-NO ARREST</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05E-TRAFFIC</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05F-DOMESTIC</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05G-WEAPON, USE/DISPLAY OF</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05H-MISCELLANEOUS</th>\n",
       "      <td>137</td>\n",
       "      <td>137</td>\n",
       "      <td>108</td>\n",
       "      <td>123</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05J-\"\"\"\"U\"\"\"\" CONVERTED TO C.R. (RECORDS KEEPING ONLY, INITIAL)</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05K-DOMESTIC ALTERCATION/INCIDENT - OFF DUTY</th>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09K-INDEBTEDNESS TO CITY</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10A-ABSENT WITHOUT PERMISSION</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10B-MEDICAL ROLL</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10D-COMMUNICATION OPERATIONS PROCEDURES</th>\n",
       "      <td>182</td>\n",
       "      <td>182</td>\n",
       "      <td>56</td>\n",
       "      <td>158</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10E-SECONDARY/SPECIAL EMPLOYMENT</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10F-COURT IRREGULARITIES</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10H-LEAVING ASSIGNMENT (DISTRICT, BEAT, SECTOR, COURT)</th>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>3</td>\n",
       "      <td>37</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10J-NEGLECT OF DUTY/CONDUCT UNBECOMING - ON DUTY</th>\n",
       "      <td>334</td>\n",
       "      <td>334</td>\n",
       "      <td>263</td>\n",
       "      <td>300</td>\n",
       "      <td>334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10L-WEAPON/AMMUNITION/UNIFORM DEVIATION</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10M-INSUBORDINATION</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10P-MISUSE OF DEPARTMENT EQUIPMENT/SUPPLIES</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>48</td>\n",
       "      <td>43</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10Q-MISUSE DEPARTMENT RECORDS</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10R-RESIDENCY</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10S-SEXUAL HARRASSMENT</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10T-REPORTS - FAILED TO SUBMIT/IMPROPER</th>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>75</td>\n",
       "      <td>100</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10U-INADEQUATE/FAILURE TO PROVIDE SERVICE</th>\n",
       "      <td>1473</td>\n",
       "      <td>1473</td>\n",
       "      <td>902</td>\n",
       "      <td>1347</td>\n",
       "      <td>1473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10V-INVENTORY PROCEDURES</th>\n",
       "      <td>255</td>\n",
       "      <td>255</td>\n",
       "      <td>127</td>\n",
       "      <td>242</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10W-VEHICLE LICENSING - CITY</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10Y-ACT TO CIRCUMVENT PROPER ADMINISTRATIVE ACTION</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10Z-MISCELLANEOUS</th>\n",
       "      <td>429</td>\n",
       "      <td>429</td>\n",
       "      <td>290</td>\n",
       "      <td>399</td>\n",
       "      <td>429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12A-PROPER ACTION, INITIATE</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12B-PROPER DIRECTION - SUBORDINATE</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER</th>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>36</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12E-IMPROPER/INADEQUATE INVESTIGATION</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12F-MISCELLANEOUS</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15A-USE/ABUSE DRUGS/CONTR. SUBSTANCE - ON DUTY</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15B-USE/ABUSE DRUGS/CONTR. SUBSTANCE - OFF DUTY</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15E-POSITIVE DRUG SCREEN - ORIGINATED FROM COMPLAINT</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15H-POSITIVE DRUG SCREEN - OTHER PHYSICAL EXAM</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15K-MISCELLANEOUS</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>89 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    crid  incident_date  \\\n",
       "complaintcategory                                                         \n",
       "01A-USE OF PROFANITY                                  60             60   \n",
       "01B-RACIAL/ETHNIC, ETC.                              114            114   \n",
       "01C-MISCELLANEOUS                                     41             41   \n",
       "02B-INTOXICATED OFF DUTY                               5              5   \n",
       "02D-D.U.I. - OFF DUTY                                  3              3   \n",
       "02G-MISCELLANEOUS                                      1              1   \n",
       "03A-FIRST AMENDMENT                                    4              4   \n",
       "03B-SEARCH OF PERSON WITHOUT WARRANT                 598            598   \n",
       "03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT       1492           1492   \n",
       "03D-ILLEGAL ARREST                                  1632           1632   \n",
       "03G-MISCELLANEOUS                                   1715           1715   \n",
       "04A-BONDING/BOOKING/PROCESSING                        12             12   \n",
       "04B-ARREST/IMPROPER                                   84             84   \n",
       "04C-EXCESSIVE DETENTION                                5              5   \n",
       "04D-SEARCH, PERSON/PROPERTY                          130            130   \n",
       "04E-PRISONER'S PROPERTY - INVENTORY/RECEIPT          535            535   \n",
       "04F-ESCAPE                                            44             44   \n",
       "04G-TELEPHONE - ATTORNEY/RELATIVE PRIVILEGES          14             14   \n",
       "04H-PROPER CARE, INJURY/DEATH                         53             53   \n",
       "04J-MISCELLANEOUS                                     75             75   \n",
       "05A-ARRESTEE - DURING ARREST                        1531           1531   \n",
       "05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP         515            515   \n",
       "05C-ARRESTEE - LOCKUP/DETENTION                       10             10   \n",
       "05D-NO ARREST                                         14             14   \n",
       "05E-TRAFFIC                                           11             11   \n",
       "05F-DOMESTIC                                          10             10   \n",
       "05G-WEAPON, USE/DISPLAY OF                             9              9   \n",
       "05H-MISCELLANEOUS                                    137            137   \n",
       "05J-\"\"\"\"U\"\"\"\" CONVERTED TO C.R. (RECORDS KEEPIN...     9              9   \n",
       "05K-DOMESTIC ALTERCATION/INCIDENT - OFF DUTY          49             49   \n",
       "...                                                  ...            ...   \n",
       "09K-INDEBTEDNESS TO CITY                               8              8   \n",
       "10A-ABSENT WITHOUT PERMISSION                          4              4   \n",
       "10B-MEDICAL ROLL                                      12             12   \n",
       "10D-COMMUNICATION OPERATIONS PROCEDURES              182            182   \n",
       "10E-SECONDARY/SPECIAL EMPLOYMENT                      11             11   \n",
       "10F-COURT IRREGULARITIES                               3              3   \n",
       "10H-LEAVING ASSIGNMENT (DISTRICT, BEAT, SECTOR,...    53             53   \n",
       "10J-NEGLECT OF DUTY/CONDUCT UNBECOMING - ON DUTY     334            334   \n",
       "10L-WEAPON/AMMUNITION/UNIFORM DEVIATION                8              8   \n",
       "10M-INSUBORDINATION                                   23             23   \n",
       "10P-MISUSE OF DEPARTMENT EQUIPMENT/SUPPLIES           50             50   \n",
       "10Q-MISUSE DEPARTMENT RECORDS                         11             11   \n",
       "10R-RESIDENCY                                          4              4   \n",
       "10S-SEXUAL HARRASSMENT                                16             16   \n",
       "10T-REPORTS - FAILED TO SUBMIT/IMPROPER              110            110   \n",
       "10U-INADEQUATE/FAILURE TO PROVIDE SERVICE           1473           1473   \n",
       "10V-INVENTORY PROCEDURES                             255            255   \n",
       "10W-VEHICLE LICENSING - CITY                           1              1   \n",
       "10Y-ACT TO CIRCUMVENT PROPER ADMINISTRATIVE ACTION     1              1   \n",
       "10Z-MISCELLANEOUS                                    429            429   \n",
       "12A-PROPER ACTION, INITIATE                            5              5   \n",
       "12B-PROPER DIRECTION - SUBORDINATE                     2              2   \n",
       "12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER        51             51   \n",
       "12E-IMPROPER/INADEQUATE INVESTIGATION                  1              1   \n",
       "12F-MISCELLANEOUS                                     14             14   \n",
       "15A-USE/ABUSE DRUGS/CONTR. SUBSTANCE - ON DUTY         1              1   \n",
       "15B-USE/ABUSE DRUGS/CONTR. SUBSTANCE - OFF DUTY        2              2   \n",
       "15E-POSITIVE DRUG SCREEN - ORIGINATED FROM COMP...     2              2   \n",
       "15H-POSITIVE DRUG SCREEN - OTHER PHYSICAL EXAM         1              1   \n",
       "15K-MISCELLANEOUS                                      3              3   \n",
       "\n",
       "                                                    beat_2012_geocoded  \\\n",
       "complaintcategory                                                        \n",
       "01A-USE OF PROFANITY                                                49   \n",
       "01B-RACIAL/ETHNIC, ETC.                                             97   \n",
       "01C-MISCELLANEOUS                                                   30   \n",
       "02B-INTOXICATED OFF DUTY                                             3   \n",
       "02D-D.U.I. - OFF DUTY                                                1   \n",
       "02G-MISCELLANEOUS                                                    1   \n",
       "03A-FIRST AMENDMENT                                                  3   \n",
       "03B-SEARCH OF PERSON WITHOUT WARRANT                               506   \n",
       "03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT                      236   \n",
       "03D-ILLEGAL ARREST                                                1179   \n",
       "03G-MISCELLANEOUS                                                  820   \n",
       "04A-BONDING/BOOKING/PROCESSING                                      12   \n",
       "04B-ARREST/IMPROPER                                                 39   \n",
       "04C-EXCESSIVE DETENTION                                              3   \n",
       "04D-SEARCH, PERSON/PROPERTY                                         87   \n",
       "04E-PRISONER'S PROPERTY - INVENTORY/RECEIPT                        458   \n",
       "04F-ESCAPE                                                          44   \n",
       "04G-TELEPHONE - ATTORNEY/RELATIVE PRIVILEGES                        11   \n",
       "04H-PROPER CARE, INJURY/DEATH                                       51   \n",
       "04J-MISCELLANEOUS                                                   25   \n",
       "05A-ARRESTEE - DURING ARREST                                      1308   \n",
       "05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP                       430   \n",
       "05C-ARRESTEE - LOCKUP/DETENTION                                      8   \n",
       "05D-NO ARREST                                                        9   \n",
       "05E-TRAFFIC                                                         11   \n",
       "05F-DOMESTIC                                                         1   \n",
       "05G-WEAPON, USE/DISPLAY OF                                           8   \n",
       "05H-MISCELLANEOUS                                                  108   \n",
       "05J-\"\"\"\"U\"\"\"\" CONVERTED TO C.R. (RECORDS KEEPIN...                   5   \n",
       "05K-DOMESTIC ALTERCATION/INCIDENT - OFF DUTY                        26   \n",
       "...                                                                ...   \n",
       "09K-INDEBTEDNESS TO CITY                                             8   \n",
       "10A-ABSENT WITHOUT PERMISSION                                        2   \n",
       "10B-MEDICAL ROLL                                                     8   \n",
       "10D-COMMUNICATION OPERATIONS PROCEDURES                             56   \n",
       "10E-SECONDARY/SPECIAL EMPLOYMENT                                    11   \n",
       "10F-COURT IRREGULARITIES                                             3   \n",
       "10H-LEAVING ASSIGNMENT (DISTRICT, BEAT, SECTOR,...                   3   \n",
       "10J-NEGLECT OF DUTY/CONDUCT UNBECOMING - ON DUTY                   263   \n",
       "10L-WEAPON/AMMUNITION/UNIFORM DEVIATION                              4   \n",
       "10M-INSUBORDINATION                                                 23   \n",
       "10P-MISUSE OF DEPARTMENT EQUIPMENT/SUPPLIES                         48   \n",
       "10Q-MISUSE DEPARTMENT RECORDS                                        8   \n",
       "10R-RESIDENCY                                                        1   \n",
       "10S-SEXUAL HARRASSMENT                                              16   \n",
       "10T-REPORTS - FAILED TO SUBMIT/IMPROPER                             75   \n",
       "10U-INADEQUATE/FAILURE TO PROVIDE SERVICE                          902   \n",
       "10V-INVENTORY PROCEDURES                                           127   \n",
       "10W-VEHICLE LICENSING - CITY                                         1   \n",
       "10Y-ACT TO CIRCUMVENT PROPER ADMINISTRATIVE ACTION                   1   \n",
       "10Z-MISCELLANEOUS                                                  290   \n",
       "12A-PROPER ACTION, INITIATE                                          4   \n",
       "12B-PROPER DIRECTION - SUBORDINATE                                   2   \n",
       "12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER                      36   \n",
       "12E-IMPROPER/INADEQUATE INVESTIGATION                                1   \n",
       "12F-MISCELLANEOUS                                                   14   \n",
       "15A-USE/ABUSE DRUGS/CONTR. SUBSTANCE - ON DUTY                       0   \n",
       "15B-USE/ABUSE DRUGS/CONTR. SUBSTANCE - OFF DUTY                      2   \n",
       "15E-POSITIVE DRUG SCREEN - ORIGINATED FROM COMP...                   1   \n",
       "15H-POSITIVE DRUG SCREEN - OTHER PHYSICAL EXAM                       1   \n",
       "15K-MISCELLANEOUS                                                    2   \n",
       "\n",
       "                                                    finalfinding  officer_id  \n",
       "complaintcategory                                                             \n",
       "01A-USE OF PROFANITY                                          58          60  \n",
       "01B-RACIAL/ETHNIC, ETC.                                      107         114  \n",
       "01C-MISCELLANEOUS                                             39          41  \n",
       "02B-INTOXICATED OFF DUTY                                       5           5  \n",
       "02D-D.U.I. - OFF DUTY                                          3           3  \n",
       "02G-MISCELLANEOUS                                              1           1  \n",
       "03A-FIRST AMENDMENT                                            4           4  \n",
       "03B-SEARCH OF PERSON WITHOUT WARRANT                         557         598  \n",
       "03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT               1441        1492  \n",
       "03D-ILLEGAL ARREST                                          1478        1632  \n",
       "03G-MISCELLANEOUS                                           1604        1715  \n",
       "04A-BONDING/BOOKING/PROCESSING                                12          12  \n",
       "04B-ARREST/IMPROPER                                           79          84  \n",
       "04C-EXCESSIVE DETENTION                                        5           5  \n",
       "04D-SEARCH, PERSON/PROPERTY                                   99         130  \n",
       "04E-PRISONER'S PROPERTY - INVENTORY/RECEIPT                  490         535  \n",
       "04F-ESCAPE                                                    42          44  \n",
       "04G-TELEPHONE - ATTORNEY/RELATIVE PRIVILEGES                  13          14  \n",
       "04H-PROPER CARE, INJURY/DEATH                                 41          53  \n",
       "04J-MISCELLANEOUS                                             55          75  \n",
       "05A-ARRESTEE - DURING ARREST                                1470        1531  \n",
       "05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP                 500         515  \n",
       "05C-ARRESTEE - LOCKUP/DETENTION                               10          10  \n",
       "05D-NO ARREST                                                 14          14  \n",
       "05E-TRAFFIC                                                    0          11  \n",
       "05F-DOMESTIC                                                  10          10  \n",
       "05G-WEAPON, USE/DISPLAY OF                                     9           9  \n",
       "05H-MISCELLANEOUS                                            123         137  \n",
       "05J-\"\"\"\"U\"\"\"\" CONVERTED TO C.R. (RECORDS KEEPIN...             3           9  \n",
       "05K-DOMESTIC ALTERCATION/INCIDENT - OFF DUTY                  43          49  \n",
       "...                                                          ...         ...  \n",
       "09K-INDEBTEDNESS TO CITY                                       8           8  \n",
       "10A-ABSENT WITHOUT PERMISSION                                  4           4  \n",
       "10B-MEDICAL ROLL                                              11          12  \n",
       "10D-COMMUNICATION OPERATIONS PROCEDURES                      158         182  \n",
       "10E-SECONDARY/SPECIAL EMPLOYMENT                              11          11  \n",
       "10F-COURT IRREGULARITIES                                       3           3  \n",
       "10H-LEAVING ASSIGNMENT (DISTRICT, BEAT, SECTOR,...            37          53  \n",
       "10J-NEGLECT OF DUTY/CONDUCT UNBECOMING - ON DUTY             300         334  \n",
       "10L-WEAPON/AMMUNITION/UNIFORM DEVIATION                        6           8  \n",
       "10M-INSUBORDINATION                                           15          23  \n",
       "10P-MISUSE OF DEPARTMENT EQUIPMENT/SUPPLIES                   43          50  \n",
       "10Q-MISUSE DEPARTMENT RECORDS                                  9          11  \n",
       "10R-RESIDENCY                                                  4           4  \n",
       "10S-SEXUAL HARRASSMENT                                        13          16  \n",
       "10T-REPORTS - FAILED TO SUBMIT/IMPROPER                      100         110  \n",
       "10U-INADEQUATE/FAILURE TO PROVIDE SERVICE                   1347        1473  \n",
       "10V-INVENTORY PROCEDURES                                     242         255  \n",
       "10W-VEHICLE LICENSING - CITY                                   1           1  \n",
       "10Y-ACT TO CIRCUMVENT PROPER ADMINISTRATIVE ACTION             1           1  \n",
       "10Z-MISCELLANEOUS                                            399         429  \n",
       "12A-PROPER ACTION, INITIATE                                    3           5  \n",
       "12B-PROPER DIRECTION - SUBORDINATE                             1           2  \n",
       "12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER                51          51  \n",
       "12E-IMPROPER/INADEQUATE INVESTIGATION                          1           1  \n",
       "12F-MISCELLANEOUS                                             14          14  \n",
       "15A-USE/ABUSE DRUGS/CONTR. SUBSTANCE - ON DUTY                 1           1  \n",
       "15B-USE/ABUSE DRUGS/CONTR. SUBSTANCE - OFF DUTY                2           2  \n",
       "15E-POSITIVE DRUG SCREEN - ORIGINATED FROM COMP...             2           2  \n",
       "15H-POSITIVE DRUG SCREEN - OTHER PHYSICAL EXAM                 1           1  \n",
       "15K-MISCELLANEOUS                                              3           3  \n",
       "\n",
       "[89 rows x 5 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints.groupby('complaintcategory').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['crid',\n",
       " 'incident_date',\n",
       " 'beat_2012_geocoded',\n",
       " 'complaintcategory',\n",
       " 'finalfinding',\n",
       " 'officer_id']"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(complaints)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "complaints['cr_year'] = pandas.DatetimeIndex(complaints['incident_date']).year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'cr_year'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-293-35fe5b637575>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcomplaints\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcr_year\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32mC:\\Users\\cm953\\AppData\\Local\\Continuum\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   2670\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2671\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2672\u001b[0;31m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2673\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2674\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'cr_year'"
     ]
    }
   ],
   "source": [
    "complaints.cr_year.hist()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-294-c2a87ffcb226>, line 5)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-294-c2a87ffcb226>\"\u001b[0;36m, line \u001b[0;32m5\u001b[0m\n\u001b[0;31m    q = count_complaints_in_year(, complaints).to_frame()\u001b[0m\n\u001b[0m                                 ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "x = complaints; y = officers; nlags = 4; base_year = 2015; \n",
    "Y = officers;\n",
    "for year in range(base_year,base_year-nlags):\n",
    "    print(year)\n",
    "    q = count_complaints_in_year(, complaints).to_frame()\n",
    "    j = year-base_year\n",
    "    q.columns = 'Lag%d' % j\n",
    "    Y = Y.merge(year, left_on = 'officer_id', right_index = 1, how = 'outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lag-5\n"
     ]
    }
   ],
   "source": [
    "year=205; base_year = 210; j=year-base_year\n",
    "print('Lag%d' % j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def count_complaints_in_year(year, x):\n",
    "    x['year'] = pandas.DatetimeIndex(x['incident_date']).year \n",
    "    x1 = x[(x.year == year)]\n",
    "    x2 = x1.groupby(['officer_id']).size()\n",
    "    return x2\n",
    "\n",
    "def add_complaints_by_year(base_year, nlags, df_complaints, df_officers):\n",
    "    Y = df_officers\n",
    "    for year in range(base_year,base_year-nlags,-1):\n",
    "        q = count_complaints_in_year(year, df_complaints).to_frame()\n",
    "        j = year-base_year\n",
    "        jstr = 'Lag%d' % j\n",
    "        q.columns.values[0] = j\n",
    "        Y = Y.merge(q, left_on = 'officer_id', right_index = 1, how = 'outer')\n",
    "    return Y\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-387-dedfcb50ce7d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madd_complaints_by_year\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m2015\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomplaints\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mofficers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-386-6f5bc3723b5a>\u001b[0m in \u001b[0;36madd_complaints_by_year\u001b[0;34m(base_year, nlags, df_complaints, df_officers)\u001b[0m\n\u001b[1;32m     15\u001b[0m         \u001b[0mY\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mY\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmerge\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mq\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mleft_on\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'officer_id'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mright_index\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhow\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'outer'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m---> 17\u001b[0;31m     \u001b[0mY\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miat\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwhere\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misnan\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwhere\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misnan\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mY\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     18\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mY\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''"
     ]
    }
   ],
   "source": [
    "r = add_complaints_by_year(2015, 3, complaints, officers)\n",
    "r.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>first.name</th>\n",
       "      <th>last.name</th>\n",
       "      <th>appointed.date</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth.year</th>\n",
       "      <th>age</th>\n",
       "      <th>rank</th>\n",
       "      <th>primary</th>\n",
       "      <th>secondary</th>\n",
       "      <th>tertiary</th>\n",
       "      <th>officer_id</th>\n",
       "      <th>0</th>\n",
       "      <th>-1</th>\n",
       "      <th>-2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KARINA</td>\n",
       "      <td>AARON</td>\n",
       "      <td>2005-09-26</td>\n",
       "      <td>HISPANIC</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1980</td>\n",
       "      <td>35.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AZIZ</td>\n",
       "      <td>ABDELMAJEID</td>\n",
       "      <td>2008-04-28</td>\n",
       "      <td>A_OTHER</td>\n",
       "      <td>MALE</td>\n",
       "      <td>1984</td>\n",
       "      <td>31.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>ACCARDO</td>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>WHITE</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>1979</td>\n",
       "      <td>37.0</td>\n",
       "      <td>POLICE OFFICER</td>\n",
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       "      <td>0</td>\n",
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       "      <td>2515</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  first.name    last.name appointed.date      race  gender  birth.year   age  \\\n",
       "0     KARINA        AARON     2005-09-26  HISPANIC  FEMALE        1980  35.0   \n",
       "1       AZIZ  ABDELMAJEID     2008-04-28   A_OTHER    MALE        1984  31.0   \n",
       "2   JENNIFER      ACCARDO     2004-11-29     WHITE  FEMALE        1979  37.0   \n",
       "\n",
       "             rank  primary  secondary  tertiary  officer_id   0  -1  -2  \n",
       "0  POLICE OFFICER        0          1         0        1139 NaN NaN NaN  \n",
       "1  POLICE OFFICER        0          0         1         434 NaN NaN NaN  \n",
       "2  POLICE OFFICER        0          0         1        2515 NaN NaN NaN  "
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "</div>"
      ],
      "text/plain": [
       "            0\n",
       "officer_id   \n",
       "6           1\n",
       "9           3\n",
       "10          2\n",
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       "100         1\n",
       "102         2\n",
       "...        ..\n",
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       "3747        1\n",
       "3750        1\n",
       "3751        2\n",
       "3752        1\n",
       "3753        1\n",
       "3754        1\n",
       "3755        1\n",
       "3756        1\n",
       "3757        1\n",
       "3758        1\n",
       "3759        1\n",
       "3764        1\n",
       "3765        1\n",
       "3766        1\n",
       "3767        1\n",
       "3769        1\n",
       "3771        1\n",
       "3772        1\n",
       "3775        1\n",
       "3776        1\n",
       "3804        1\n",
       "3805        1\n",
       "3808        1\n",
       "3809        1\n",
       "3871        1\n",
       "3877        1\n",
       "\n",
       "[824 rows x 1 columns]"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def add_complaints_by_year(base_year, nlags, x, y)\n",
    "    y1 = y\n",
    "    for year in range(base_year,base_year-nlags)\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x['year'] = pandas.DatetimeIndex(x['incident_date']).year \n",
    "x1 = x[(x.year == year)]\n",
    "tmp = x1.groupby(['officer_id']).size()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of           crid       incident_date  beat_2012_geocoded  \\\n",
       "11835  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11836  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11837  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11838  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11839  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11840  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11841  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11842  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11843  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11844  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11845  1073179   01-Jan-2015  0:15                 NaN   \n",
       "11846  1073180   01-Jan-2015  2:00              1831.0   \n",
       "11847  1073180   01-Jan-2015  2:00              1831.0   \n",
       "11848  1073180   01-Jan-2015  2:00              1831.0   \n",
       "11854  1073215  03-Jan-2015  20:00                 NaN   \n",
       "11855  1073215  03-Jan-2015  20:00                 NaN   \n",
       "11857  1073237  03-Jan-2015  22:44              1112.0   \n",
       "11858  1073237  03-Jan-2015  22:44              1112.0   \n",
       "11859  1073239   05-Jan-2015  0:00              1112.0   \n",
       "11860  1073242  05-Jan-2015  19:00              2232.0   \n",
       "11861  1073242  05-Jan-2015  19:00              2232.0   \n",
       "11862  1073242  05-Jan-2015  19:00              2232.0   \n",
       "11863  1073243   05-Jan-2015  3:55               733.0   \n",
       "11864  1073243   05-Jan-2015  3:55               733.0   \n",
       "11870  1073260  07-Jan-2015  14:20                 NaN   \n",
       "11871  1073260  07-Jan-2015  14:20                 NaN   \n",
       "11881  1073322  10-Jan-2015  23:10              2533.0   \n",
       "11882  1073322  10-Jan-2015  23:10              2533.0   \n",
       "11883  1073322  10-Jan-2015  23:10              2533.0   \n",
       "11884  1073326   01-Jan-2015  1:35               621.0   \n",
       "...        ...                 ...                 ...   \n",
       "13445  1079306   24-Jan-2015  8:00              1923.0   \n",
       "13446  1079306   24-Jan-2015  8:00              1923.0   \n",
       "13470  1079396   01-Jan-2015  0:06               734.0   \n",
       "13471  1079396   01-Jan-2015  0:06               734.0   \n",
       "13551  1079889  15-Apr-2015  20:00              1624.0   \n",
       "13557  1079956  19-Oct-2015  20:05                 NaN   \n",
       "13558  1079956  19-Oct-2015  20:05                 NaN   \n",
       "13559  1079973   11-Sep-2015  0:01                 NaN   \n",
       "13560  1079973   11-Sep-2015  0:01                 NaN   \n",
       "13561  1079973   11-Sep-2015  0:01                 NaN   \n",
       "13567  1080057  03-Jan-2015  11:36               925.0   \n",
       "13568  1080057  03-Jan-2015  11:36               925.0   \n",
       "13575  1080137   25-Sep-2015  7:45               411.0   \n",
       "13661  1080517   05-Aug-2015  0:01              1033.0   \n",
       "13663  1080553  06-Feb-2015  20:30               934.0   \n",
       "13664  1080553  06-Feb-2015  20:30               934.0   \n",
       "13665  1080553  06-Feb-2015  20:30               934.0   \n",
       "13666  1080553  06-Feb-2015  20:30               934.0   \n",
       "13732  1080981  26-Nov-2015  21:03              1135.0   \n",
       "13733  1080981  26-Nov-2015  21:03              1135.0   \n",
       "13776  1081474  19-May-2015  19:55              1131.0   \n",
       "13777  1081474  19-May-2015  19:55              1131.0   \n",
       "13785  1081603  01-Oct-2015  18:31               712.0   \n",
       "13807  1082100  02-Apr-2015  10:30              1033.0   \n",
       "13808  1082100  02-Apr-2015  10:30              1033.0   \n",
       "13829  1082467  23-Apr-2015  19:11              2533.0   \n",
       "13830  1082467  23-Apr-2015  19:11              2533.0   \n",
       "13831  1082467  23-Apr-2015  19:11              2533.0   \n",
       "13838  1082661  26-Aug-2015  23:52                 NaN   \n",
       "13839  1082661  26-Aug-2015  23:52                 NaN   \n",
       "\n",
       "                                    complaintcategory finalfinding  \\\n",
       "11835   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11836   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11837   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11838   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11839   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11840   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11841   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11842   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11843   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11844   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11845   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT          NAF   \n",
       "11846       10U-INADEQUATE/FAILURE TO PROVIDE SERVICE          NAF   \n",
       "11847       10U-INADEQUATE/FAILURE TO PROVIDE SERVICE          NAF   \n",
       "11848       10U-INADEQUATE/FAILURE TO PROVIDE SERVICE          NAF   \n",
       "11854                               10Z-MISCELLANEOUS          NAF   \n",
       "11855                               10Z-MISCELLANEOUS          NAF   \n",
       "11857    05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP           UN   \n",
       "11858    05B-ARRESTEE - AFTER ARREST, PRIOR TO LOCKUP           UN   \n",
       "11859            03B-SEARCH OF PERSON WITHOUT WARRANT          NAF   \n",
       "11860                               03G-MISCELLANEOUS          NAF   \n",
       "11861                               03G-MISCELLANEOUS          NAF   \n",
       "11862                               03G-MISCELLANEOUS          NAF   \n",
       "11863   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT           NS   \n",
       "11864   03C-SEARCH OF PREMISE/VEHICLE WITHOUT WARRANT           NS   \n",
       "11870  12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER           SU   \n",
       "11871  12D-FAIL TO OBTAIN A COMPLAINT REGISTER NUMBER           SU   \n",
       "11881                               03G-MISCELLANEOUS          NAF   \n",
       "11882                               03G-MISCELLANEOUS          NAF   \n",
       "11883                               03G-MISCELLANEOUS          NAF   \n",
       "11884                    05Q-CIVIL SUIT - THIRD PARTY          NAF   \n",
       "...                                               ...          ...   \n",
       "13445                                             NaN          NaN   \n",
       "13446                                             NaN          NaN   \n",
       "13470                              03D-ILLEGAL ARREST          NAF   \n",
       "13471                              03D-ILLEGAL ARREST          NAF   \n",
       "13551                                             NaN          NaN   \n",
       "13557                                             NaN          NaN   \n",
       "13558                                             NaN          NaN   \n",
       "13559                    05Q-CIVIL SUIT - THIRD PARTY          NAF   \n",
       "13560                    05Q-CIVIL SUIT - THIRD PARTY          NAF   \n",
       "13561                    05Q-CIVIL SUIT - THIRD PARTY          NAF   \n",
       "13567                              03D-ILLEGAL ARREST          NAF   \n",
       "13568                              03D-ILLEGAL ARREST          NAF   \n",
       "13575                                             NaN          NaN   \n",
       "13661                               03G-MISCELLANEOUS          NAF   \n",
       "13663                                             NaN          NaN   \n",
       "13664                                             NaN          NaN   \n",
       "13665                                             NaN          NaN   \n",
       "13666                                             NaN          NaN   \n",
       "13732       10U-INADEQUATE/FAILURE TO PROVIDE SERVICE          NAF   \n",
       "13733       10U-INADEQUATE/FAILURE TO PROVIDE SERVICE          NAF   \n",
       "13776                                             NaN          NaN   \n",
       "13777                                             NaN          NaN   \n",
       "13785                                             NaN          NaN   \n",
       "13807                                             NaN          NaN   \n",
       "13808                                             NaN          NaN   \n",
       "13829                                             NaN          NaN   \n",
       "13830                                             NaN          NaN   \n",
       "13831                                             NaN          NaN   \n",
       "13838                                             NaN          NaN   \n",
       "13839                                             NaN          NaN   \n",
       "\n",
       "       officer_id  cr_year  year  \n",
       "11835        3272     2015  2015  \n",
       "11836        2128     2015  2015  \n",
       "11837        2521     2015  2015  \n",
       "11838        2578     2015  2015  \n",
       "11839         294     2015  2015  \n",
       "11840         667     2015  2015  \n",
       "11841        2591     2015  2015  \n",
       "11842        2827     2015  2015  \n",
       "11843         815     2015  2015  \n",
       "11844        2233     2015  2015  \n",
       "11845         322     2015  2015  \n",
       "11846         721     2015  2015  \n",
       "11847        1805     2015  2015  \n",
       "11848        1066     2015  2015  \n",
       "11854        3330     2015  2015  \n",
       "11855        3514     2015  2015  \n",
       "11857        1727     2015  2015  \n",
       "11858         161     2015  2015  \n",
       "11859         161     2015  2015  \n",
       "11860        1490     2015  2015  \n",
       "11861        1832     2015  2015  \n",
       "11862        1304     2015  2015  \n",
       "11863        2232     2015  2015  \n",
       "11864        1278     2015  2015  \n",
       "11870        3515     2015  2015  \n",
       "11871        1128     2015  2015  \n",
       "11881        3516     2015  2015  \n",
       "11882        3061     2015  2015  \n",
       "11883        3517     2015  2015  \n",
       "11884        1105     2015  2015  \n",
       "...           ...      ...   ...  \n",
       "13445        3808     2015  2015  \n",
       "13446        3809     2015  2015  \n",
       "13470        3104     2015  2015  \n",
       "13471         875     2015  2015  \n",
       "13551         366     2015  2015  \n",
       "13557         368     2015  2015  \n",
       "13558         374     2015  2015  \n",
       "13559         879     2015  2015  \n",
       "13560        2621     2015  2015  \n",
       "13561        1411     2015  2015  \n",
       "13567         174     2015  2015  \n",
       "13568         423     2015  2015  \n",
       "13575         912     2015  2015  \n",
       "13661        2785     2015  2015  \n",
       "13663        1063     2015  2015  \n",
       "13664         652     2015  2015  \n",
       "13665        1146     2015  2015  \n",
       "13666         617     2015  2015  \n",
       "13732        3339     2015  2015  \n",
       "13733        3340     2015  2015  \n",
       "13776        3871     2015  2015  \n",
       "13777        1132     2015  2015  \n",
       "13785        3095     2015  2015  \n",
       "13807         967     2015  2015  \n",
       "13808        3877     2015  2015  \n",
       "13829         488     2015  2015  \n",
       "13830         489     2015  2015  \n",
       "13831         455     2015  2015  \n",
       "13838        1687     2015  2015  \n",
       "13839        1961     2015  2015  \n",
       "\n",
       "[1208 rows x 8 columns]>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x['year'] = pandas.DatetimeIndex(x['incident_date']).year \n",
    "x1 = x.groupby(['officer_id','year']).size()\n",
    "\n",
    "\n",
    "\n",
    "#x1 = x1[(x1.year<=year & x1.year > year - nlags)]\n",
    "#\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'function' object has no attribute 'head'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-138-6070416ba594>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mx1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'function' object has no attribute 'head'"
     ]
    }
   ],
   "source": [
    "x1.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2015"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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