mining_car_crash.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mining The Bar Graph Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import missingno as msno\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "stats2015 = pd.read_csv(\"the-counted-revised-2015.csv\")\n",
    "stats2016 = pd.read_csv(\"the-counted-revised-2016.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5JSUlKSAgQLVr15Yk+fn5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\nLC/sN96KFAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114577208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(stats2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IPvvss1q/fr0SExN1/vx5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\niIiIiIiIiPxh/x+X4VRyNaa2qQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cb416a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(stats2016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'streetaddress' seems to be the only column that is missing data. That is good news as we can count any of the other columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Unnamed: 0</th>\n",
       "      <th>index</th>\n",
       "      <th>uid</th>\n",
       "      <th>name</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>raceethnicity</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>streetaddress</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>classification</th>\n",
       "      <th>lawenforcementagency</th>\n",
       "      <th>armed</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Matthew Ajibade</td>\n",
       "      <td>22</td>\n",
       "      <td>Male</td>\n",
       "      <td>Black</td>\n",
       "      <td>January</td>\n",
       "      <td>1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1050 Carl Griffin Dr</td>\n",
       "      <td>Savannah</td>\n",
       "      <td>GA</td>\n",
       "      <td>Death in custody</td>\n",
       "      <td>Chatham County Sheriff's Office</td>\n",
       "      <td>No</td>\n",
       "      <td>32.083541</td>\n",
       "      <td>-81.099834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Lewis Lembke</td>\n",
       "      <td>47</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>2</td>\n",
       "      <td>2015</td>\n",
       "      <td>4505 SW Masters Loop</td>\n",
       "      <td>Aloha</td>\n",
       "      <td>OR</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Washington County Sheriff's Office</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>45.494284</td>\n",
       "      <td>-122.867045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>Michael Kocher Jr</td>\n",
       "      <td>19</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>3</td>\n",
       "      <td>2015</td>\n",
       "      <td>2600 Kaumualii Hwy</td>\n",
       "      <td>Kaumakani</td>\n",
       "      <td>HI</td>\n",
       "      <td>Struck by vehicle</td>\n",
       "      <td>Kauai Police Department</td>\n",
       "      <td>No</td>\n",
       "      <td>21.918204</td>\n",
       "      <td>-159.618301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>John Quintero</td>\n",
       "      <td>23</td>\n",
       "      <td>Male</td>\n",
       "      <td>Hispanic/Latino</td>\n",
       "      <td>January</td>\n",
       "      <td>3</td>\n",
       "      <td>2015</td>\n",
       "      <td>500 North Oliver Ave</td>\n",
       "      <td>Wichita</td>\n",
       "      <td>KS</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Wichita Police Department</td>\n",
       "      <td>No</td>\n",
       "      <td>37.692236</td>\n",
       "      <td>-97.337545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Tim Elliott</td>\n",
       "      <td>53</td>\n",
       "      <td>Male</td>\n",
       "      <td>Asian/Pacific Islander</td>\n",
       "      <td>January</td>\n",
       "      <td>2</td>\n",
       "      <td>2015</td>\n",
       "      <td>600 E Island Lake Dr</td>\n",
       "      <td>Shelton</td>\n",
       "      <td>WA</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Mason County Sheriff's Office</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>47.215094</td>\n",
       "      <td>-123.100707</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  index  uid               name age gender  \\\n",
       "0           0      0    2    Matthew Ajibade  22   Male   \n",
       "1           1      1    4       Lewis Lembke  47   Male   \n",
       "2           2      2    5  Michael Kocher Jr  19   Male   \n",
       "3           3      3    6      John Quintero  23   Male   \n",
       "4           4      4    7        Tim Elliott  53   Male   \n",
       "\n",
       "            raceethnicity    month  day  year         streetaddress  \\\n",
       "0                   Black  January    1  2015  1050 Carl Griffin Dr   \n",
       "1                   White  January    2  2015  4505 SW Masters Loop   \n",
       "2                   White  January    3  2015    2600 Kaumualii Hwy   \n",
       "3         Hispanic/Latino  January    3  2015  500 North Oliver Ave   \n",
       "4  Asian/Pacific Islander  January    2  2015  600 E Island Lake Dr   \n",
       "\n",
       "        city state     classification                lawenforcementagency  \\\n",
       "0   Savannah    GA   Death in custody     Chatham County Sheriff's Office   \n",
       "1      Aloha    OR            Gunshot  Washington County Sheriff's Office   \n",
       "2  Kaumakani    HI  Struck by vehicle             Kauai Police Department   \n",
       "3    Wichita    KS            Gunshot           Wichita Police Department   \n",
       "4    Shelton    WA            Gunshot       Mason County Sheriff's Office   \n",
       "\n",
       "     armed        lat         lon  \n",
       "0       No  32.083541  -81.099834  \n",
       "1  Firearm  45.494284 -122.867045  \n",
       "2       No  21.918204 -159.618301  \n",
       "3       No  37.692236  -97.337545  \n",
       "4  Firearm  47.215094 -123.100707  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Unnamed: 0</th>\n",
       "      <th>index</th>\n",
       "      <th>uid</th>\n",
       "      <th>name</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>raceethnicity</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>streetaddress</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>classification</th>\n",
       "      <th>lawenforcementagency</th>\n",
       "      <th>armed</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2016406</td>\n",
       "      <td>Terry Frost</td>\n",
       "      <td>20</td>\n",
       "      <td>Male</td>\n",
       "      <td>Black</td>\n",
       "      <td>May</td>\n",
       "      <td>25</td>\n",
       "      <td>2016</td>\n",
       "      <td>2692 Madison Rd</td>\n",
       "      <td>Cincinnati</td>\n",
       "      <td>OH</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Cincinnati Police Department</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>39.101454</td>\n",
       "      <td>-84.512460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>201681</td>\n",
       "      <td>Jeffry Graves</td>\n",
       "      <td>62</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>31</td>\n",
       "      <td>2016</td>\n",
       "      <td>36500 Bridgepointe Dr</td>\n",
       "      <td>Newark</td>\n",
       "      <td>CA</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Newark Police Department</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>37.529659</td>\n",
       "      <td>-122.040240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>20161</td>\n",
       "      <td>Joshua Sisson</td>\n",
       "      <td>30</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>4200 6th Ave</td>\n",
       "      <td>San Diego</td>\n",
       "      <td>CA</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>San Diego Police Department</td>\n",
       "      <td>Knife</td>\n",
       "      <td>32.717421</td>\n",
       "      <td>-117.162771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>20163</td>\n",
       "      <td>Sean O'Brien</td>\n",
       "      <td>37</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>2</td>\n",
       "      <td>2016</td>\n",
       "      <td>100 Washington St</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>MT</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Livingston Police Department</td>\n",
       "      <td>Knife</td>\n",
       "      <td>45.662436</td>\n",
       "      <td>-110.561040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>201653</td>\n",
       "      <td>Lance Light</td>\n",
       "      <td>54</td>\n",
       "      <td>Male</td>\n",
       "      <td>White</td>\n",
       "      <td>January</td>\n",
       "      <td>2</td>\n",
       "      <td>2016</td>\n",
       "      <td>I-20 and Texas Hwy 70</td>\n",
       "      <td>Sweetwater</td>\n",
       "      <td>TX</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Sweetwater Police Department</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>32.470952</td>\n",
       "      <td>-100.405938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  index      uid           name age gender raceethnicity  \\\n",
       "0           0      0  2016406    Terry Frost  20   Male         Black   \n",
       "1           1      1   201681  Jeffry Graves  62   Male         White   \n",
       "2           2      2    20161  Joshua Sisson  30   Male         White   \n",
       "3           3      3    20163   Sean O'Brien  37   Male         White   \n",
       "4           4      4   201653    Lance Light  54   Male         White   \n",
       "\n",
       "     month  day  year          streetaddress        city state classification  \\\n",
       "0      May   25  2016        2692 Madison Rd  Cincinnati    OH        Gunshot   \n",
       "1  January   31  2016  36500 Bridgepointe Dr      Newark    CA        Gunshot   \n",
       "2  January    1  2016           4200 6th Ave   San Diego    CA        Gunshot   \n",
       "3  January    2  2016      100 Washington St  Livingston    MT        Gunshot   \n",
       "4  January    2  2016  I-20 and Texas Hwy 70  Sweetwater    TX        Gunshot   \n",
       "\n",
       "           lawenforcementagency    armed        lat         lon  \n",
       "0  Cincinnati Police Department  Firearm  39.101454  -84.512460  \n",
       "1      Newark Police Department  Firearm  37.529659 -122.040240  \n",
       "2   San Diego Police Department    Knife  32.717421 -117.162771  \n",
       "3  Livingston Police Department    Knife  45.662436 -110.561040  \n",
       "4  Sweetwater Police Department  Firearm  32.470952 -100.405938  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats2016.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Dropping the extra axis\n",
    "stats2015 = stats2015.drop(['Unnamed: 0'],axis=1)\n",
    "stats2016 = stats2016.drop(['Unnamed: 0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Using the count methods to obtain the frequency of data\n",
    "armed2015 = stats2015.groupby('armed')['index'].count()\n",
    "armed2016 = stats2016.groupby('armed')['index'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2015 armed\n",
      "Disputed                5\n",
      "Firearm               554\n",
      "Knife                 152\n",
      "No                    235\n",
      "Non-lethal firearm     47\n",
      "Other                  64\n",
      "Unknown                45\n",
      "Vehicle                44\n",
      "Name: index, dtype: int64 \n",
      "\n",
      "2016 armed\n",
      "Disputed               11\n",
      "Firearm               506\n",
      "Knife                 159\n",
      "No                    170\n",
      "Non-lethal firearm     46\n",
      "Other                  84\n",
      "Unknown                82\n",
      "Vehicle                35\n",
      "Name: index, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print('2015',armed2015,'\\n')\n",
    "print('2016',armed2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "race2015 = stats2015.groupby('raceethnicity')['index'].count()\n",
    "race2016 = stats2016.groupby('raceethnicity')['index'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2015 raceethnicity\n",
      "Arab-American               4\n",
      "Asian/Pacific Islander     24\n",
      "Black                     307\n",
      "Hispanic/Latino           195\n",
      "Native American            13\n",
      "Other                       1\n",
      "Unknown                    18\n",
      "White                     584\n",
      "Name: index, dtype: int64 \n",
      "\n",
      "2016 raceethnicity\n",
      "Arab-American               3\n",
      "Asian/Pacific Islander     21\n",
      "Black                     266\n",
      "Hispanic/Latino           183\n",
      "Native American            24\n",
      "Unknown                    22\n",
      "White                     574\n",
      "Name: index, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print('2015',race2015,'\\n')\n",
    "print('2016',race2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "how2015 = stats2015.groupby('classification')['index'].count()\n",
    "how2016 = stats2016.groupby('classification')['index'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2015 classification\n",
      "Death in custody       47\n",
      "Gunshot              1017\n",
      "Other                   1\n",
      "Struck by vehicle      31\n",
      "Taser                  50\n",
      "Name: index, dtype: int64 \n",
      "\n",
      "2016 classification\n",
      "Death in custody       37\n",
      "Gunshot              1011\n",
      "Other                   2\n",
      "Struck by vehicle      21\n",
      "Taser                  22\n",
      "Name: index, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print('2015',how2015,'\\n')\n",
    "print('2016',how2016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I noticed that there was only one \"other\" column for raceethnicity so I decided to explore."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>uid</th>\n",
       "      <th>name</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>raceethnicity</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>streetaddress</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>classification</th>\n",
       "      <th>lawenforcementagency</th>\n",
       "      <th>armed</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>782</td>\n",
       "      <td>804</td>\n",
       "      <td>Mohamed Ibrahim</td>\n",
       "      <td>28</td>\n",
       "      <td>Male</td>\n",
       "      <td>Other</td>\n",
       "      <td>September</td>\n",
       "      <td>6</td>\n",
       "      <td>2015</td>\n",
       "      <td>2800 Holly St</td>\n",
       "      <td>Shreveport</td>\n",
       "      <td>LA</td>\n",
       "      <td>Gunshot</td>\n",
       "      <td>Shreveport Police Department</td>\n",
       "      <td>Firearm</td>\n",
       "      <td>32.522183</td>\n",
       "      <td>-93.765194</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  uid             name age gender raceethnicity      month  day  \\\n",
       "782    782  804  Mohamed Ibrahim  28   Male         Other  September    6   \n",
       "\n",
       "     year  streetaddress        city state classification  \\\n",
       "782  2015  2800 Holly St  Shreveport    LA        Gunshot   \n",
       "\n",
       "             lawenforcementagency    armed        lat        lon  \n",
       "782  Shreveport Police Department  Firearm  32.522183 -93.765194  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats2015[stats2015['raceethnicity'] == 'Other']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking through the database's sources, there seems to be no evidence that Mohamed Ibrahim is qualified for the race\n",
    "section of 'Other'. Therefore, I plan to change this statistic to 'Unknown'.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "stats2015.ix[782,'raceethnicity'] = 'Unknown'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "armed2015.to_json('armed2015.json')\n",
    "race2015.to_json('race2015.json')\n",
    "how2015.to_json('how2015.json')\n",
    "armed2016.to_json('armed2016.json')\n",
    "race2016.to_json('race2016.json')\n",
    "how2016.to_json('how2016.json')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
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