Boston Crime Report- Data Cleaning and Visualisation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "937c79af",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "153d08c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "crime = pd.read_csv(\"crime_boston.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fd6ec604",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
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       "      <th>STREET</th>\n",
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       "      <th>Location</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
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       "      <td>8</td>\n",
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       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
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       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
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       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
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       "      <td>-71.059709</td>\n",
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       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
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       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
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       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
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       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "      <td>(42.28545883, -71.11802667)</td>\n",
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       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "413671   I010370257-00          3125                  Warrant Arrests   \n",
       "\n",
       "                    OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0         SICK/INJURED/MEDICAL - PERSON      D14            794      NaN   \n",
       "1                   TOWED MOTOR VEHICLE       B3            435      NaN   \n",
       "2       CHILD ENDANGERMENT (NO ASSAULT)      C11            355      NaN   \n",
       "3              ASSAULT SIMPLE - BATTERY      E18            554      NaN   \n",
       "4                  INVESTIGATE PROPERTY      E18            502      NaN   \n",
       "...                                 ...      ...            ...      ...   \n",
       "413667                   WARRANT ARREST       A1             77      NaN   \n",
       "413668                   WARRANT ARREST       A1             77      NaN   \n",
       "413669                   WARRANT ARREST       A1             77      NaN   \n",
       "413670                   WARRANT ARREST       A1             77      NaN   \n",
       "413671                   WARRANT ARREST      E13            569      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2019-08-17 21:00:00  2019      8    Saturday    21  Part Three   \n",
       "1       2019-08-17 21:15:00  2019      8    Saturday    21  Part Three   \n",
       "2       2019-08-17 19:33:00  2019      8    Saturday    19    Part Two   \n",
       "3       2019-08-17 20:55:00  2019      8    Saturday    20    Part Two   \n",
       "4       2019-08-17 19:39:00  2019      8    Saturday    19  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "413667  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413668  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413669  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413670  2019-05-23 08:56:00  2019      5    Thursday     8  Part Three   \n",
       "413671  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long                     Location  \n",
       "0               QUINT AVE        NaN        NaN     (0.00000000, 0.00000000)  \n",
       "1            PEACEVALE RD  42.287167 -71.076335  (42.28716674, -71.07633479)  \n",
       "2               GIBSON ST  42.297555 -71.059709  (42.29755533, -71.05970910)  \n",
       "3        METROPOLITAN AVE  42.272509 -71.123190  (42.27250898, -71.12318965)  \n",
       "4            PHILBRICK ST  42.285459 -71.118027  (42.28545883, -71.11802667)  \n",
       "...                   ...        ...        ...                          ...  \n",
       "413667     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413668     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413669     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413670     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413671  NEW WASHINGTON ST  42.302333 -71.111565  (42.30233307, -71.11156487)  \n",
       "\n",
       "[413672 rows x 17 columns]"
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9278cffa",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>413672 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        INCIDENT_NUMBER  OFFENSE_CODE  OFFENSE_CODE_GROUP  \\\n",
       "0                 False         False               False   \n",
       "1                 False         False               False   \n",
       "2                 False         False               False   \n",
       "3                 False         False               False   \n",
       "4                 False         False               False   \n",
       "...                 ...           ...                 ...   \n",
       "413667            False         False               False   \n",
       "413668            False         False               False   \n",
       "413669            False         False               False   \n",
       "413670            False         False               False   \n",
       "413671            False         False               False   \n",
       "\n",
       "        OFFENSE_DESCRIPTION  DISTRICT  REPORTING_AREA  SHOOTING  \\\n",
       "0                     False     False           False      True   \n",
       "1                     False     False           False      True   \n",
       "2                     False     False           False      True   \n",
       "3                     False     False           False      True   \n",
       "4                     False     False           False      True   \n",
       "...                     ...       ...             ...       ...   \n",
       "413667                False     False           False      True   \n",
       "413668                False     False           False      True   \n",
       "413669                False     False           False      True   \n",
       "413670                False     False           False      True   \n",
       "413671                False     False           False      True   \n",
       "\n",
       "        OCCURRED_ON_DATE   YEAR  MONTH  DAY_OF_WEEK   HOUR  UCR_PART  STREET  \\\n",
       "0                  False  False  False        False  False     False   False   \n",
       "1                  False  False  False        False  False     False   False   \n",
       "2                  False  False  False        False  False     False   False   \n",
       "3                  False  False  False        False  False     False   False   \n",
       "4                  False  False  False        False  False     False   False   \n",
       "...                  ...    ...    ...          ...    ...       ...     ...   \n",
       "413667             False  False  False        False  False     False   False   \n",
       "413668             False  False  False        False  False     False   False   \n",
       "413669             False  False  False        False  False     False   False   \n",
       "413670             False  False  False        False  False     False   False   \n",
       "413671             False  False  False        False  False     False   False   \n",
       "\n",
       "          Lat   Long  Location  \n",
       "0        True   True     False  \n",
       "1       False  False     False  \n",
       "2       False  False     False  \n",
       "3       False  False     False  \n",
       "4       False  False     False  \n",
       "...       ...    ...       ...  \n",
       "413667  False  False     False  \n",
       "413668  False  False     False  \n",
       "413669  False  False     False  \n",
       "413670  False  False     False  \n",
       "413671  False  False     False  \n",
       "\n",
       "[413672 rows x 17 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "abdcedc2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         True\n",
       "1         True\n",
       "2         True\n",
       "3         True\n",
       "4         True\n",
       "          ... \n",
       "413667    True\n",
       "413668    True\n",
       "413669    True\n",
       "413670    True\n",
       "413671    True\n",
       "Length: 413672, dtype: bool"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime.isnull().any(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "53e2d0a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "rows_with_missing_values = crime.isnull().any(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82434426",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
       "      <th>SHOOTING</th>\n",
       "      <th>OCCURRED_ON_DATE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>QUINT AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0.00000000, 0.00000000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
       "      <td>TOWED MOTOR VEHICLE</td>\n",
       "      <td>B3</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:15:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
       "      <td>(42.28716674, -71.07633479)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:33:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>GIBSON ST</td>\n",
       "      <td>42.297555</td>\n",
       "      <td>-71.059709</td>\n",
       "      <td>(42.29755533, -71.05970910)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
       "      <td>(42.27250898, -71.12318965)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
       "      <td>3114</td>\n",
       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "      <td>(42.28545883, -71.11802667)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>I020674147-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "      <td>(42.30233307, -71.11156487)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>412042 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "413671   I010370257-00          3125                  Warrant Arrests   \n",
       "\n",
       "                    OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0         SICK/INJURED/MEDICAL - PERSON      D14            794      NaN   \n",
       "1                   TOWED MOTOR VEHICLE       B3            435      NaN   \n",
       "2       CHILD ENDANGERMENT (NO ASSAULT)      C11            355      NaN   \n",
       "3              ASSAULT SIMPLE - BATTERY      E18            554      NaN   \n",
       "4                  INVESTIGATE PROPERTY      E18            502      NaN   \n",
       "...                                 ...      ...            ...      ...   \n",
       "413667                   WARRANT ARREST       A1             77      NaN   \n",
       "413668                   WARRANT ARREST       A1             77      NaN   \n",
       "413669                   WARRANT ARREST       A1             77      NaN   \n",
       "413670                   WARRANT ARREST       A1             77      NaN   \n",
       "413671                   WARRANT ARREST      E13            569      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2019-08-17 21:00:00  2019      8    Saturday    21  Part Three   \n",
       "1       2019-08-17 21:15:00  2019      8    Saturday    21  Part Three   \n",
       "2       2019-08-17 19:33:00  2019      8    Saturday    19    Part Two   \n",
       "3       2019-08-17 20:55:00  2019      8    Saturday    20    Part Two   \n",
       "4       2019-08-17 19:39:00  2019      8    Saturday    19  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "413667  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413668  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413669  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413670  2019-05-23 08:56:00  2019      5    Thursday     8  Part Three   \n",
       "413671  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long                     Location  \n",
       "0               QUINT AVE        NaN        NaN     (0.00000000, 0.00000000)  \n",
       "1            PEACEVALE RD  42.287167 -71.076335  (42.28716674, -71.07633479)  \n",
       "2               GIBSON ST  42.297555 -71.059709  (42.29755533, -71.05970910)  \n",
       "3        METROPOLITAN AVE  42.272509 -71.123190  (42.27250898, -71.12318965)  \n",
       "4            PHILBRICK ST  42.285459 -71.118027  (42.28545883, -71.11802667)  \n",
       "...                   ...        ...        ...                          ...  \n",
       "413667     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413668     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413669     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413670     NEW SUDBURY ST  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413671  NEW WASHINGTON ST  42.302333 -71.111565  (42.30233307, -71.11156487)  \n",
       "\n",
       "[412042 rows x 17 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime[rows_with_missing_values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64f1a3a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_crime = crime.drop(columns=['YEAR', 'MONTH', 'HOUR'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7313931c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
       "      <th>SHOOTING</th>\n",
       "      <th>OCCURRED_ON_DATE</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:00:00</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>QUINT AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0.00000000, 0.00000000)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
       "      <td>TOWED MOTOR VEHICLE</td>\n",
       "      <td>B3</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:15:00</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
       "      <td>(42.28716674, -71.07633479)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:33:00</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>GIBSON ST</td>\n",
       "      <td>42.297555</td>\n",
       "      <td>-71.059709</td>\n",
       "      <td>(42.29755533, -71.05970910)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
       "      <td>(42.27250898, -71.12318965)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
       "      <td>3114</td>\n",
       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "      <td>(42.28545883, -71.11802667)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>I020674147-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "      <td>(42.36183857, -71.05976489)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "      <td>(42.30233307, -71.11156487)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>413672 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "413671   I010370257-00          3125                  Warrant Arrests   \n",
       "\n",
       "                    OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0         SICK/INJURED/MEDICAL - PERSON      D14            794      NaN   \n",
       "1                   TOWED MOTOR VEHICLE       B3            435      NaN   \n",
       "2       CHILD ENDANGERMENT (NO ASSAULT)      C11            355      NaN   \n",
       "3              ASSAULT SIMPLE - BATTERY      E18            554      NaN   \n",
       "4                  INVESTIGATE PROPERTY      E18            502      NaN   \n",
       "...                                 ...      ...            ...      ...   \n",
       "413667                   WARRANT ARREST       A1             77      NaN   \n",
       "413668                   WARRANT ARREST       A1             77      NaN   \n",
       "413669                   WARRANT ARREST       A1             77      NaN   \n",
       "413670                   WARRANT ARREST       A1             77      NaN   \n",
       "413671                   WARRANT ARREST      E13            569      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE DAY_OF_WEEK    UCR_PART             STREET  \\\n",
       "0       2019-08-17 21:00:00    Saturday  Part Three          QUINT AVE   \n",
       "1       2019-08-17 21:15:00    Saturday  Part Three       PEACEVALE RD   \n",
       "2       2019-08-17 19:33:00    Saturday    Part Two          GIBSON ST   \n",
       "3       2019-08-17 20:55:00    Saturday    Part Two   METROPOLITAN AVE   \n",
       "4       2019-08-17 19:39:00    Saturday  Part Three       PHILBRICK ST   \n",
       "...                     ...         ...         ...                ...   \n",
       "413667  2019-05-23 08:00:00    Thursday  Part Three     NEW SUDBURY ST   \n",
       "413668  2019-05-23 08:00:00    Thursday  Part Three     NEW SUDBURY ST   \n",
       "413669  2019-05-23 08:00:00    Thursday  Part Three     NEW SUDBURY ST   \n",
       "413670  2019-05-23 08:56:00    Thursday  Part Three     NEW SUDBURY ST   \n",
       "413671  2016-05-31 19:35:00     Tuesday  Part Three  NEW WASHINGTON ST   \n",
       "\n",
       "              Lat       Long                     Location  \n",
       "0             NaN        NaN     (0.00000000, 0.00000000)  \n",
       "1       42.287167 -71.076335  (42.28716674, -71.07633479)  \n",
       "2       42.297555 -71.059709  (42.29755533, -71.05970910)  \n",
       "3       42.272509 -71.123190  (42.27250898, -71.12318965)  \n",
       "4       42.285459 -71.118027  (42.28545883, -71.11802667)  \n",
       "...           ...        ...                          ...  \n",
       "413667  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413668  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413669  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413670  42.361839 -71.059765  (42.36183857, -71.05976489)  \n",
       "413671  42.302333 -71.111565  (42.30233307, -71.11156487)  \n",
       "\n",
       "[413672 rows x 14 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7a890a1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Medical Assistance', 'Towed', 'Offenses Against Child / Family',\n",
       "       'Simple Assault', 'Investigate Property', 'Verbal Disputes',\n",
       "       'Larceny', 'Fire Related Reports', 'Missing Person Reported',\n",
       "       'Robbery', 'Firearm Violations', 'Residential Burglary',\n",
       "       'Investigate Person', 'Drug Violation', 'Aggravated Assault',\n",
       "       'Violations', 'Motor Vehicle Accident Response', 'Property Found',\n",
       "       'Larceny From Motor Vehicle', 'Liquor Violation', 'Other',\n",
       "       'Harassment', 'Vandalism', 'Property Lost',\n",
       "       'Assembly or Gathering Violations', 'Warrant Arrests',\n",
       "       'Landlord/Tenant Disputes', 'Restraining Order Violations',\n",
       "       'Recovered Stolen Property', 'Auto Theft Recovery',\n",
       "       'Firearm Discovery', 'Other Burglary', 'Auto Theft',\n",
       "       'Commercial Burglary', 'Service', 'Police Service Incidents',\n",
       "       'Disorderly Conduct', 'Property Related Damage',\n",
       "       'Harbor Related Incidents', 'Fraud', 'Ballistics',\n",
       "       'Missing Person Located', 'Search Warrants', 'Confidence Games',\n",
       "       'Counterfeiting', 'License Violation', 'HOME INVASION',\n",
       "       'Operating Under the Influence', 'License Plate Related Incidents',\n",
       "       'Evading Fare', 'Embezzlement', 'Prisoner Related Incidents',\n",
       "       'Aircraft', 'Arson', 'Explosives', 'Homicide', 'Prostitution',\n",
       "       'Criminal Harassment', 'Bomb Hoax', 'Phone Call Complaints',\n",
       "       'HUMAN TRAFFICKING - INVOLUNTARY SERVITUDE', 'Manslaughter',\n",
       "       'HUMAN TRAFFICKING', 'Biological Threat', 'Gambling',\n",
       "       'INVESTIGATE PERSON', 'Burglary - No Property Taken'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime['OFFENSE_CODE_GROUP'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7736b0b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['SICK/INJURED/MEDICAL - PERSON', 'TOWED MOTOR VEHICLE',\n",
       "       'CHILD ENDANGERMENT (NO ASSAULT)', 'ASSAULT SIMPLE - BATTERY',\n",
       "       'INVESTIGATE PROPERTY', 'VERBAL DISPUTE', 'LARCENY SHOPLIFTING',\n",
       "       'FIRE REPORT/ALARM - FALSE', 'SUDDEN DEATH', 'MISSING PERSON',\n",
       "       'ROBBERY - STREET', 'WEAPON - OTHER - CARRYING / POSSESSING, ETC',\n",
       "       'FIRE REPORT - HOUSE, BUILDING, ETC.',\n",
       "       'BURGLARY - RESIDENTIAL - NO FORCE', 'INVESTIGATE PERSON',\n",
       "       'LARCENY PURSE SNATCH - NO FORCE ',\n",
       "       'DRUGS - POSS CLASS B - COCAINE, ETC.', 'DRUGS - POSS CLASS E',\n",
       "       'ASSAULT - AGGRAVATED - BATTERY',\n",
       "       'VAL - OPERATING W/O AUTHORIZATION LAWFUL',\n",
       "       'M/V - LEAVING SCENE - PROPERTY DAMAGE', 'PROPERTY - FOUND',\n",
       "       'LARCENY THEFT FROM MV - NON-ACCESSORY', 'M/V ACCIDENT - OTHER',\n",
       "       'LIQUOR - DRINKING IN PUBLIC', 'BURGLARY - RESIDENTIAL - FORCE',\n",
       "       'M/V ACCIDENT - INVOLVING \\xa0BICYCLE - INJURY',\n",
       "       'THREATS TO DO BODILY HARM', 'HARASSMENT',\n",
       "       'LARCENY THEFT OF BICYCLE', 'VANDALISM', 'ROBBERY - OTHER',\n",
       "       'GRAFFITI', 'PROPERTY - LOST', 'DEMONSTRATIONS/RIOT',\n",
       "       'TRESPASSING', 'WARRANT ARREST', 'LANDLORD - TENANT SERVICE',\n",
       "       'ASSAULT - AGGRAVATED', 'VIOL. OF RESTRAINING ORDER W NO ARREST',\n",
       "       'LARCENY THEFT FROM BUILDING',\n",
       "       'STOLEN PROPERTY - BUYING / RECEIVING / POSSESSING',\n",
       "       'M/V ACCIDENT - PERSONAL INJURY', 'LARCENY ALL OTHERS',\n",
       "       'BURGLARY - RESIDENTIAL - ATTEMPT',\n",
       "       'DRUGS - POSS CLASS A - INTENT TO MFR DIST DISP',\n",
       "       'LARCENY THEFT OF MV PARTS & ACCESSORIES',\n",
       "       'VAL - OPERATING UNREG/UNINS \\xa0CAR',\n",
       "       'VAL - OPERATING AFTER REV/SUSP.',\n",
       "       'RECOVERED - MV RECOVERED IN BOSTON (STOLEN OUTSIDE BOSTON)',\n",
       "       'FIREARM/WEAPON - FOUND OR CONFISCATED',\n",
       "       'M/V ACCIDENT - PROPERTY \\xa0DAMAGE',\n",
       "       'DRUGS - SICK ASSIST - HEROIN', 'BURGLARY - OTHER - FORCE',\n",
       "       'DRUGS - POSS CLASS A - HEROIN, ETC. ', 'AUTO THEFT',\n",
       "       'SICK/INJURED/MEDICAL - POLICE', 'ROBBERY - COMMERCIAL',\n",
       "       'VAL - VIOLATION OF AUTO LAW - OTHER',\n",
       "       'VAL - OPERATING WITHOUT LICENSE',\n",
       "       'DRUGS - SICK ASSIST - OTHER HARMFUL DRUG',\n",
       "       'BURGLARY - COMMERICAL - FORCE',\n",
       "       'M/V ACCIDENT INVOLVING PEDESTRIAN - INJURY', 'ANIMAL INCIDENTS',\n",
       "       'OTHER OFFENSE', 'SERVICE TO OTHER PD INSIDE OF MA.',\n",
       "       'DISTURBING THE PEACE', 'DISORDERLY CONDUCT',\n",
       "       'M/V ACCIDENT - POLICE VEHICLE', 'SUICIDE / SUICIDE ATTEMPT',\n",
       "       'M/V - LEAVING SCENE - PERSONAL INJURY',\n",
       "       'AUTO THEFT - MOTORCYCLE / SCOOTER',\n",
       "       'DRUGS - POSS CLASS E - INTENT TO MFR DIST DISP',\n",
       "       'PROPERTY - ACCIDENTAL DAMAGE', 'HARBOR INCIDENT / VIOLATION',\n",
       "       'FRAUD - FALSE PRETENSE / SCHEME', 'PROPERTY - MISSING',\n",
       "       'POSSESSION OF BURGLARIOUS TOOLS', 'BALLISTICS EVIDENCE/FOUND',\n",
       "       'MISSING PERSON - LOCATED', 'M/V ACCIDENT - OTHER CITY VEHICLE',\n",
       "       'INVESTIGATION FOR ANOTHER AGENCY',\n",
       "       'DRUGS - POSS CLASS B - INTENT TO MFR DIST DISP',\n",
       "       'VIOLATION - CITY ORDINANCE',\n",
       "       'M/V ACCIDENT - INVOLVING BICYCLE - NO INJURY',\n",
       "       'WEAPON - FIREARM - OTHER VIOLATION',\n",
       "       'DRUGS - SALE / MANUFACTURING', 'SEARCH WARRANT',\n",
       "       'FRAUD - CREDIT CARD / ATM FRAUD', 'DRUGS - OTHER',\n",
       "       'DRUGS - POSS CLASS D - INTENT TO MFR DIST DISP',\n",
       "       'DRUGS - POSS CLASS C', 'DEATH INVESTIGATION',\n",
       "       'FORGERY / COUNTERFEITING', 'AUTO THEFT - LEASED/RENTED VEHICLE',\n",
       "       'FRAUD - IMPERSONATION',\n",
       "       'M/V ACCIDENT - INVOLVING PEDESTRIAN - NO INJURY',\n",
       "       'ASSAULT - SIMPLE', 'SERVICE TO OTHER PD OUTSIDE OF MA.',\n",
       "       'LICENSE PREMISE VIOLATION', 'HOME INVASION',\n",
       "       'WEAPON - FIREARM - CARRYING / POSSESSING, ETC',\n",
       "       'OPERATING UNDER THE INFLUENCE DRUGS',\n",
       "       'MISSING PERSON - NOT REPORTED - LOCATED',\n",
       "       'PROPERTY - STOLEN THEN RECOVERED', 'ANNOYING AND ACCOSTING',\n",
       "       'VIOL. OF RESTRAINING ORDER W ARREST',\n",
       "       'WEAPON - OTHER - OTHER VIOLATION', 'M/V PLATES - LOST',\n",
       "       'DRUGS - CLASS A TRAFFICKING OVER 18 GRAMS',\n",
       "       'ANIMAL CONTROL - DOG BITES - ETC.', 'DRUGS - POSS CLASS D',\n",
       "       'FRAUD - WIRE', 'CHILD ABANDONMENT (NO ASSAULT)',\n",
       "       'NOISY PARTY/RADIO-NO ARREST', 'BURGLARY - OTHER - NO FORCE',\n",
       "       'ROBBERY - HOME INVASION', 'KIDNAPPING - ENTICING OR ATTEMPTED',\n",
       "       'PROPERTY - LOST THEN LOCATED', 'EVADING FARE',\n",
       "       'DRUGS - CLASS B TRAFFICKING OVER 18 GRAMS',\n",
       "       'DRUGS - CONSP TO VIOL CONTROLLED SUBSTANCE',\n",
       "       'OPERATING UNDER THE INFLUENCE ALCOHOL',\n",
       "       'DRUGS - POSS CLASS C - INTENT TO MFR DIST DISP',\n",
       "       'DRUGS - POSSESSION OF DRUG PARAPHANALIA',\n",
       "       'OBSCENE MATERIALS - PORNOGRAPHY', 'AFFRAY', 'EMBEZZLEMENT',\n",
       "       'FUGITIVE FROM JUSTICE', 'DANGEROUS OR HAZARDOUS CONDITION',\n",
       "       'BURGLARY - OTHER - ATTEMPT', 'LARCENY PICK-POCKET',\n",
       "       'AIRCRAFT INCIDENTS', 'ARSON', 'DRUGS - POSSESSION',\n",
       "       'EXPLOSIVES - TURNED IN OR FOUND', 'ROBBERY - BANK',\n",
       "       'BURGLARY - COMMERICAL - ATTEMPT',\n",
       "       'FIRE REPORT - CAR, BRUSH, ETC.', 'CHINS',\n",
       "       'PROTECTIVE CUSTODY / SAFEKEEPING', 'ROBBERY - CAR JACKING',\n",
       "       'RECOVERED STOLEN PLATE', 'LIQUOR LAW VIOLATION',\n",
       "       'EXTORTION OR BLACKMAIL', 'INTIMIDATING WITNESS',\n",
       "       'CHILD ENDANGERMENT', 'KIDNAPPING/CUSTODIAL KIDNAPPING',\n",
       "       'MURDER, NON-NEGLIGIENT MANSLAUGHTER',\n",
       "       'BURGLARY - COMMERICAL - NO FORCE',\n",
       "       'VIOLATION - HAWKER AND PEDDLER',\n",
       "       'DRUGS - SICK ASSIST - OTHER NARCOTIC', 'ANIMAL ABUSE',\n",
       "       'PROSTITUTION - SOLICITING', 'FIREARM/WEAPON - LOST',\n",
       "       'REPORT AFFECTING OTHER DEPTS.', 'CRIMINAL HARASSMENT',\n",
       "       'BOMB THREAT', 'EXPLOSIVES - POSSESSION OR USE', 'STALKING',\n",
       "       'NOISY PARTY/RADIO-ARREST',\n",
       "       'WEAPON - FIREARM - SALE / TRAFFICKING',\n",
       "       'CONTRIBUTING TO DELINQUENCY OF MINOR',\n",
       "       'INJURY BICYCLE NO M/V INVOLVED', 'CONSPIRACY EXCEPT DRUG LAW',\n",
       "       'OBSCENE PHONE CALLS', 'FRAUD - WELFARE',\n",
       "       'PRISONER - SUICIDE / SUICIDE ATTEMPT',\n",
       "       'VIOLATION - CITY ORDINANCE CONSTRUCTION PERMIT',\n",
       "       'DRUGS - CLASS D TRAFFICKING OVER 50 GRAMS',\n",
       "       'PROSTITUTION - COMMON NIGHTWALKER',\n",
       "       'HUMAN TRAFFICKING - INVOLUNTARY SERVITUDE',\n",
       "       'MANSLAUGHTER - VEHICLE - NEGLIGENCE', 'TRUANCY / RUNAWAY',\n",
       "       'PROPERTY - CONCEALING LEASED', 'ABDUCTION - INTICING',\n",
       "       'PROSTITUTION', 'FIREARM/WEAPON - ACCIDENTAL INJURY / DEATH',\n",
       "       'LARCENY THEFT FROM COIN-OP MACHINE',\n",
       "       'PROSTITUTION - ASSISTING OR PROMOTING',\n",
       "       'PRISONER ESCAPE / ESCAPE & RECAPTURE',\n",
       "       'HUMAN TRAFFICKING - COMMERCIAL SEX ACTS',\n",
       "       'GATHERING CAUSING ANNOYANCE', 'BIOLOGICAL THREATS',\n",
       "       'PRISONER ATTEMPT TO RESCUE', 'GAMBLING - BETTING / WAGERING',\n",
       "       'CUSTODIAL KIDNAPPING', 'MANSLAUGHTER - NON-VEHICLE - NEGLIGENCE',\n",
       "       'DRUGS - GLUE INHALATION', 'KILLING OF FELON BY POLICE',\n",
       "       'COUNTERFEITING', 'LARCENY NON-ACCESSORY FROM VEH. $50 TO $199',\n",
       "       'ANNOYING AND ACCOSTIN', 'LARCENY BICYCLE $200 & OVER',\n",
       "       'DRUGS - POSS CLASS A - HEROIN, ETC.',\n",
       "       'LARCENY SHOPLIFTING UNDER $50',\n",
       "       'A&B HANDS, FEET, ETC.  - MED. ATTENTION REQ.',\n",
       "       'ASSAULT & BATTERY D/W - OTHER',\n",
       "       'DRUGS - POSS CLASS D - MARIJUANA, ETC.',\n",
       "       'LARCENY OTHER $200 & OVER', 'LARCENY IN A BUILDING $200 & OVER',\n",
       "       'FIREARM/WEAPON - POSSESSION OF DANGEROUS',\n",
       "       'FIREARM/WEAPON - CARRY - SELL - RENT',\n",
       "       'ASSAULT & BATTERY D/W - OTHER ON POLICE OFFICER',\n",
       "       'A&B ON POLICE OFFICER', 'ASSAULT D/W - OTHER',\n",
       "       'ASSAULT & BATTERY', 'AUTO THEFT - RECOVERED IN BY POLICE',\n",
       "       'ROBBERY ATTEMPT - KNIFE - BANK',\n",
       "       'ASSAULT D/W - KNIFE ON POLICE OFFICER',\n",
       "       'ROBBERY - UNARMED - STREET', 'LARCENY SHOPLIFTING $200 & OVER',\n",
       "       'FORGERY OR UTTERING', 'FRAUD - FALSE PRETENSE',\n",
       "       'AUTO THEFT LEASE/RENT VEHICLE', 'VIOLATION - RESTRAINING ORDER',\n",
       "       'ROBBERY - UNARMED - CHAIN STORE',\n",
       "       'LARCENY IN A BUILDING $50 TO $199', 'LARCENY OTHER $50 TO $199',\n",
       "       'PROPERTY - RECEIVING STOLEN',\n",
       "       'AUTO THEFT - OUTSIDE - RECOVERED IN BOSTON',\n",
       "       'ROBBERY - KNIFE - STREET',\n",
       "       'LARCENY NON-ACCESSORY FROM VEH. $200 & OVER',\n",
       "       'LARCENY NON-ACCESSORY FROM VEH. UNDER $50',\n",
       "       'DRUGS - POSS CLASS E INTENT TO MF DIST DISP',\n",
       "       'ASSAULT & BATTERY D/W - KNIFE',\n",
       "       'B&E NON-RESIDENCE DAY - NO FORCE', 'LARCENY OTHER UNDER $50',\n",
       "       'LARCENY IN A BUILDING UNDER $50', 'DISORDERLY PERSON',\n",
       "       'B&E RESIDENCE NIGHT - ATTEMPT FORCE', 'CHILD ABUSE',\n",
       "       'ROBBERY - UNARMED - BUSINESS', 'AUTO THEFT OTHER',\n",
       "       'FRAUDS - ALL OTHER', 'B&E RESIDENCE DAY - NO PROP TAKEN',\n",
       "       'LARCENY SHOPLIFTING $50 TO $199', 'ROBBERY - UNARMED - RESIDENCE',\n",
       "       'B&E NON-RESIDENCE DAY - FORCIBLE',\n",
       "       'B&E NON-RESIDENCE DAY - NO PROP TAKEN',\n",
       "       'B&E RESIDENCE DAY - NO FORCE', 'B&E NON-RESIDENCE NIGHT - FORCE',\n",
       "       'PROSTITUTE - COMMON NIGHTWALKER',\n",
       "       'DRUGS - POSS CLASS D - INTENT MFR DIST DISP'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime['OFFENSE_DESCRIPTION'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3223039a",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_crime = crime.drop(columns='Location')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f8f49566",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
       "      <th>SHOOTING</th>\n",
       "      <th>OCCURRED_ON_DATE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>QUINT AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
       "      <td>TOWED MOTOR VEHICLE</td>\n",
       "      <td>B3</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:15:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:33:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>GIBSON ST</td>\n",
       "      <td>42.297555</td>\n",
       "      <td>-71.059709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
       "      <td>3114</td>\n",
       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>I020674147-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>413672 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "413671   I010370257-00          3125                  Warrant Arrests   \n",
       "\n",
       "                    OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0         SICK/INJURED/MEDICAL - PERSON      D14            794      NaN   \n",
       "1                   TOWED MOTOR VEHICLE       B3            435      NaN   \n",
       "2       CHILD ENDANGERMENT (NO ASSAULT)      C11            355      NaN   \n",
       "3              ASSAULT SIMPLE - BATTERY      E18            554      NaN   \n",
       "4                  INVESTIGATE PROPERTY      E18            502      NaN   \n",
       "...                                 ...      ...            ...      ...   \n",
       "413667                   WARRANT ARREST       A1             77      NaN   \n",
       "413668                   WARRANT ARREST       A1             77      NaN   \n",
       "413669                   WARRANT ARREST       A1             77      NaN   \n",
       "413670                   WARRANT ARREST       A1             77      NaN   \n",
       "413671                   WARRANT ARREST      E13            569      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2019-08-17 21:00:00  2019      8    Saturday    21  Part Three   \n",
       "1       2019-08-17 21:15:00  2019      8    Saturday    21  Part Three   \n",
       "2       2019-08-17 19:33:00  2019      8    Saturday    19    Part Two   \n",
       "3       2019-08-17 20:55:00  2019      8    Saturday    20    Part Two   \n",
       "4       2019-08-17 19:39:00  2019      8    Saturday    19  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "413667  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413668  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413669  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413670  2019-05-23 08:56:00  2019      5    Thursday     8  Part Three   \n",
       "413671  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long  \n",
       "0               QUINT AVE        NaN        NaN  \n",
       "1            PEACEVALE RD  42.287167 -71.076335  \n",
       "2               GIBSON ST  42.297555 -71.059709  \n",
       "3        METROPOLITAN AVE  42.272509 -71.123190  \n",
       "4            PHILBRICK ST  42.285459 -71.118027  \n",
       "...                   ...        ...        ...  \n",
       "413667     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413668     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413669     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413670     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413671  NEW WASHINGTON ST  42.302333 -71.111565  \n",
       "\n",
       "[413672 rows x 16 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f91ad4a2",
   "metadata": {},
   "outputs": [
    {
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       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>QUINT AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
       "      <td>TOWED MOTOR VEHICLE</td>\n",
       "      <td>B3</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:15:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:33:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>GIBSON ST</td>\n",
       "      <td>42.297555</td>\n",
       "      <td>-71.059709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
       "      <td>3114</td>\n",
       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>I020674147-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>413672 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "413671   I010370257-00          3125                  Warrant Arrests   \n",
       "\n",
       "                    OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0         SICK/INJURED/MEDICAL - PERSON      D14            794      NaN   \n",
       "1                   TOWED MOTOR VEHICLE       B3            435      NaN   \n",
       "2       CHILD ENDANGERMENT (NO ASSAULT)      C11            355      NaN   \n",
       "3              ASSAULT SIMPLE - BATTERY      E18            554      NaN   \n",
       "4                  INVESTIGATE PROPERTY      E18            502      NaN   \n",
       "...                                 ...      ...            ...      ...   \n",
       "413667                   WARRANT ARREST       A1             77      NaN   \n",
       "413668                   WARRANT ARREST       A1             77      NaN   \n",
       "413669                   WARRANT ARREST       A1             77      NaN   \n",
       "413670                   WARRANT ARREST       A1             77      NaN   \n",
       "413671                   WARRANT ARREST      E13            569      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2019-08-17 21:00:00  2019      8    Saturday    21  Part Three   \n",
       "1       2019-08-17 21:15:00  2019      8    Saturday    21  Part Three   \n",
       "2       2019-08-17 19:33:00  2019      8    Saturday    19    Part Two   \n",
       "3       2019-08-17 20:55:00  2019      8    Saturday    20    Part Two   \n",
       "4       2019-08-17 19:39:00  2019      8    Saturday    19  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "413667  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413668  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413669  2019-05-23 08:00:00  2019      5    Thursday     8  Part Three   \n",
       "413670  2019-05-23 08:56:00  2019      5    Thursday     8  Part Three   \n",
       "413671  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long  \n",
       "0               QUINT AVE        NaN        NaN  \n",
       "1            PEACEVALE RD  42.287167 -71.076335  \n",
       "2               GIBSON ST  42.297555 -71.059709  \n",
       "3        METROPOLITAN AVE  42.272509 -71.123190  \n",
       "4            PHILBRICK ST  42.285459 -71.118027  \n",
       "...                   ...        ...        ...  \n",
       "413667     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413668     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413669     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413670     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413671  NEW WASHINGTON ST  42.302333 -71.111565  \n",
       "\n",
       "[413672 rows x 16 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6221d6de",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6ebfbb2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d8b463fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='OFFENSE_CODE_GROUP', ylabel='count'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.countplot(x='OFFENSE_CODE_GROUP', y = '', data = cleaned_crime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c020d48f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         2019\n",
       "1         2019\n",
       "2         2019\n",
       "3         2019\n",
       "4         2019\n",
       "          ... \n",
       "413667    2019\n",
       "413668    2019\n",
       "413669    2019\n",
       "413670    2019\n",
       "413671    2016\n",
       "Name: YEAR, Length: 413672, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime['YEAR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a555d80d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          True\n",
       "1          True\n",
       "2          True\n",
       "3          True\n",
       "4          True\n",
       "          ...  \n",
       "413667     True\n",
       "413668     True\n",
       "413669     True\n",
       "413670     True\n",
       "413671    False\n",
       "Name: YEAR, Length: 413672, dtype: bool"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime['YEAR'] ==2019 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cbbf4994",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_crime1= cleaned_crime.loc[cleaned_crime['YEAR'] ==2019,: ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e244d420",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
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       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I192064813</td>\n",
       "      <td>3006</td>\n",
       "      <td>Medical Assistance</td>\n",
       "      <td>SICK/INJURED/MEDICAL - PERSON</td>\n",
       "      <td>D14</td>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>QUINT AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I192064810</td>\n",
       "      <td>3410</td>\n",
       "      <td>Towed</td>\n",
       "      <td>TOWED MOTOR VEHICLE</td>\n",
       "      <td>B3</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 21:15:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>21</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PEACEVALE RD</td>\n",
       "      <td>42.287167</td>\n",
       "      <td>-71.076335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I192064808</td>\n",
       "      <td>2003</td>\n",
       "      <td>Offenses Against Child / Family</td>\n",
       "      <td>CHILD ENDANGERMENT (NO ASSAULT)</td>\n",
       "      <td>C11</td>\n",
       "      <td>355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:33:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>GIBSON ST</td>\n",
       "      <td>42.297555</td>\n",
       "      <td>-71.059709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I192064803</td>\n",
       "      <td>802</td>\n",
       "      <td>Simple Assault</td>\n",
       "      <td>ASSAULT SIMPLE - BATTERY</td>\n",
       "      <td>E18</td>\n",
       "      <td>554</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 20:55:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>42.272509</td>\n",
       "      <td>-71.123190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I192064800</td>\n",
       "      <td>3114</td>\n",
       "      <td>Investigate Property</td>\n",
       "      <td>INVESTIGATE PROPERTY</td>\n",
       "      <td>E18</td>\n",
       "      <td>502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 19:39:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PHILBRICK ST</td>\n",
       "      <td>42.285459</td>\n",
       "      <td>-71.118027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413666</th>\n",
       "      <td>I020695210-00</td>\n",
       "      <td>1843</td>\n",
       "      <td>Drug Violation</td>\n",
       "      <td>DRUGS - POSS CLASS B - INTENT TO MFR DIST DISP</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 09:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>9</td>\n",
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       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
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       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
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       "      <td>I020674147-00</td>\n",
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       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
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       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60571 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE               OFFENSE_CODE_GROUP  \\\n",
       "0           I192064813          3006               Medical Assistance   \n",
       "1           I192064810          3410                            Towed   \n",
       "2           I192064808          2003  Offenses Against Child / Family   \n",
       "3           I192064803           802                   Simple Assault   \n",
       "4           I192064800          3114             Investigate Property   \n",
       "...                ...           ...                              ...   \n",
       "413666   I020695210-00          1843                   Drug Violation   \n",
       "413667   I020691165-00          3125                  Warrant Arrests   \n",
       "413668   I020674147-00          3125                  Warrant Arrests   \n",
       "413669   I020669075-00          3125                  Warrant Arrests   \n",
       "413670   I020662996-00          3125                  Warrant Arrests   \n",
       "\n",
       "                                   OFFENSE_DESCRIPTION DISTRICT  \\\n",
       "0                        SICK/INJURED/MEDICAL - PERSON      D14   \n",
       "1                                  TOWED MOTOR VEHICLE       B3   \n",
       "2                      CHILD ENDANGERMENT (NO ASSAULT)      C11   \n",
       "3                             ASSAULT SIMPLE - BATTERY      E18   \n",
       "4                                 INVESTIGATE PROPERTY      E18   \n",
       "...                                                ...      ...   \n",
       "413666  DRUGS - POSS CLASS B - INTENT TO MFR DIST DISP       A1   \n",
       "413667                                  WARRANT ARREST       A1   \n",
       "413668                                  WARRANT ARREST       A1   \n",
       "413669                                  WARRANT ARREST       A1   \n",
       "413670                                  WARRANT ARREST       A1   \n",
       "\n",
       "       REPORTING_AREA SHOOTING     OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  \\\n",
       "0                 794      NaN  2019-08-17 21:00:00  2019      8    Saturday   \n",
       "1                 435      NaN  2019-08-17 21:15:00  2019      8    Saturday   \n",
       "2                 355      NaN  2019-08-17 19:33:00  2019      8    Saturday   \n",
       "3                 554      NaN  2019-08-17 20:55:00  2019      8    Saturday   \n",
       "4                 502      NaN  2019-08-17 19:39:00  2019      8    Saturday   \n",
       "...               ...      ...                  ...   ...    ...         ...   \n",
       "413666             77      NaN  2019-05-23 09:00:00  2019      5    Thursday   \n",
       "413667             77      NaN  2019-05-23 08:00:00  2019      5    Thursday   \n",
       "413668             77      NaN  2019-05-23 08:00:00  2019      5    Thursday   \n",
       "413669             77      NaN  2019-05-23 08:00:00  2019      5    Thursday   \n",
       "413670             77      NaN  2019-05-23 08:56:00  2019      5    Thursday   \n",
       "\n",
       "        HOUR    UCR_PART            STREET        Lat       Long  \n",
       "0         21  Part Three         QUINT AVE        NaN        NaN  \n",
       "1         21  Part Three      PEACEVALE RD  42.287167 -71.076335  \n",
       "2         19    Part Two         GIBSON ST  42.297555 -71.059709  \n",
       "3         20    Part Two  METROPOLITAN AVE  42.272509 -71.123190  \n",
       "4         19  Part Three      PHILBRICK ST  42.285459 -71.118027  \n",
       "...      ...         ...               ...        ...        ...  \n",
       "413666     9    Part Two    NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413667     8  Part Three    NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413668     8  Part Three    NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413669     8  Part Three    NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413670     8  Part Three    NEW SUDBURY ST  42.361839 -71.059765  \n",
       "\n",
       "[60571 rows x 16 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3f40f92c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         False\n",
       "1         False\n",
       "2         False\n",
       "3         False\n",
       "4         False\n",
       "          ...  \n",
       "413667     True\n",
       "413668     True\n",
       "413669     True\n",
       "413670     True\n",
       "413671     True\n",
       "Name: OFFENSE_CODE_GROUP, Length: 413672, dtype: bool"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime['OFFENSE_CODE_GROUP'] ==\"Warrant Arrests\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3134d29e",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleaned_crime2= cleaned_crime.loc[cleaned_crime['OFFENSE_CODE_GROUP'] ==\"Warrant Arrests\",: ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2da2ee30",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>56</th>\n",
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       "      <td>ALBANY ST</td>\n",
       "      <td>42.335206</td>\n",
       "      <td>-71.071103</td>\n",
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       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>I192064700</td>\n",
       "      <td>3125</td>\n",
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       "      <td>WARRANT ARREST</td>\n",
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       "      <td>264</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 15:21:00</td>\n",
       "      <td>2019</td>\n",
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       "      <td>Saturday</td>\n",
       "      <td>15</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>BROOKFORD ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>I192064612</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-17 09:56:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>9</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>395</th>\n",
       "      <td>I192064303</td>\n",
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       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>119</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-16 10:38:26</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>10</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>TREMONT ST</td>\n",
       "      <td>42.355407</td>\n",
       "      <td>-71.063124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>I192064276</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>B3</td>\n",
       "      <td>426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-08-16 07:32:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>RIVER ST</td>\n",
       "      <td>42.268714</td>\n",
       "      <td>-71.092211</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413667</th>\n",
       "      <td>I020691165-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413668</th>\n",
       "      <td>I020674147-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413669</th>\n",
       "      <td>I020669075-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:00:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413670</th>\n",
       "      <td>I020662996-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>A1</td>\n",
       "      <td>77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-05-23 08:56:00</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>8</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW SUDBURY ST</td>\n",
       "      <td>42.361839</td>\n",
       "      <td>-71.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413671</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10805 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE OFFENSE_CODE_GROUP OFFENSE_DESCRIPTION  \\\n",
       "56          I192064714          3125    Warrant Arrests      WARRANT ARREST   \n",
       "67          I192064700          3125    Warrant Arrests      WARRANT ARREST   \n",
       "137         I192064612          3125    Warrant Arrests      WARRANT ARREST   \n",
       "395         I192064303          3125    Warrant Arrests      WARRANT ARREST   \n",
       "418         I192064276          3125    Warrant Arrests      WARRANT ARREST   \n",
       "...                ...           ...                ...                 ...   \n",
       "413667   I020691165-00          3125    Warrant Arrests      WARRANT ARREST   \n",
       "413668   I020674147-00          3125    Warrant Arrests      WARRANT ARREST   \n",
       "413669   I020669075-00          3125    Warrant Arrests      WARRANT ARREST   \n",
       "413670   I020662996-00          3125    Warrant Arrests      WARRANT ARREST   \n",
       "413671   I010370257-00          3125    Warrant Arrests      WARRANT ARREST   \n",
       "\n",
       "       DISTRICT REPORTING_AREA SHOOTING     OCCURRED_ON_DATE  YEAR  MONTH  \\\n",
       "56           D4            169      NaN  2019-08-17 13:20:00  2019      8   \n",
       "67           B2            264      NaN  2019-08-17 15:21:00  2019      8   \n",
       "137         NaN                     NaN  2019-08-17 09:56:00  2019      8   \n",
       "395          A1            119      NaN  2019-08-16 10:38:26  2019      8   \n",
       "418          B3            426      NaN  2019-08-16 07:32:00  2019      8   \n",
       "...         ...            ...      ...                  ...   ...    ...   \n",
       "413667       A1             77      NaN  2019-05-23 08:00:00  2019      5   \n",
       "413668       A1             77      NaN  2019-05-23 08:00:00  2019      5   \n",
       "413669       A1             77      NaN  2019-05-23 08:00:00  2019      5   \n",
       "413670       A1             77      NaN  2019-05-23 08:56:00  2019      5   \n",
       "413671      E13            569      NaN  2016-05-31 19:35:00  2016      5   \n",
       "\n",
       "       DAY_OF_WEEK  HOUR    UCR_PART             STREET        Lat       Long  \n",
       "56        Saturday    13  Part Three          ALBANY ST  42.335206 -71.071103  \n",
       "67        Saturday    15  Part Three       BROOKFORD ST        NaN        NaN  \n",
       "137       Saturday     9  Part Three                NaN        NaN        NaN  \n",
       "395         Friday    10  Part Three         TREMONT ST  42.355407 -71.063124  \n",
       "418         Friday     7  Part Three           RIVER ST  42.268714 -71.092211  \n",
       "...            ...   ...         ...                ...        ...        ...  \n",
       "413667    Thursday     8  Part Three     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413668    Thursday     8  Part Three     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413669    Thursday     8  Part Three     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413670    Thursday     8  Part Three     NEW SUDBURY ST  42.361839 -71.059765  \n",
       "413671     Tuesday    19  Part Three  NEW WASHINGTON ST  42.302333 -71.111565  \n",
       "\n",
       "[10805 rows x 16 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_crime2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "92a36ae7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Warrant Arrests')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.countplot(x=\"DAY_OF_WEEK\", data=cleaned_crime2); plt.ylabel(\"Count of Warrant Arrests\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "270d48d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Warrant Arrests')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.countplot(x=\"DISTRICT\", data=cleaned_crime2); plt.ylabel(\"Count of Warrant Arrests\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5d5c7a0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}