DenverEDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(\"crime.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "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_ID</th>\n",
       "      <th>OFFENSE_ID</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <th>OFFENSE_TYPE_ID</th>\n",
       "      <th>OFFENSE_CATEGORY_ID</th>\n",
       "      <th>FIRST_OCCURRENCE_DATE</th>\n",
       "      <th>LAST_OCCURRENCE_DATE</th>\n",
       "      <th>REPORTED_DATE</th>\n",
       "      <th>INCIDENT_ADDRESS</th>\n",
       "      <th>GEO_X</th>\n",
       "      <th>GEO_Y</th>\n",
       "      <th>GEO_LON</th>\n",
       "      <th>GEO_LAT</th>\n",
       "      <th>DISTRICT_ID</th>\n",
       "      <th>PRECINCT_ID</th>\n",
       "      <th>NEIGHBORHOOD_ID</th>\n",
       "      <th>IS_CRIME</th>\n",
       "      <th>IS_TRAFFIC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016376978</td>\n",
       "      <td>2016376978521300</td>\n",
       "      <td>5213</td>\n",
       "      <td>0</td>\n",
       "      <td>weapon-unlawful-discharge-of</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>6/15/2016 11:31:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6/15/2016 11:31:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3193983.0</td>\n",
       "      <td>1707251.0</td>\n",
       "      <td>-104.809881</td>\n",
       "      <td>39.773188</td>\n",
       "      <td>5</td>\n",
       "      <td>521</td>\n",
       "      <td>montbello</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20186000994</td>\n",
       "      <td>20186000994239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>10/11/2017 12:30:00 PM</td>\n",
       "      <td>10/11/2017 4:55:00 PM</td>\n",
       "      <td>1/29/2018 5:53:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3201943.0</td>\n",
       "      <td>1711852.0</td>\n",
       "      <td>-104.781434</td>\n",
       "      <td>39.785649</td>\n",
       "      <td>5</td>\n",
       "      <td>522</td>\n",
       "      <td>gateway-green-valley-ranch</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20166003953</td>\n",
       "      <td>20166003953230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>3/4/2016 8:00:00 PM</td>\n",
       "      <td>4/25/2016 8:00:00 AM</td>\n",
       "      <td>4/26/2016 9:02:00 PM</td>\n",
       "      <td>2932 S JOSEPHINE ST</td>\n",
       "      <td>3152762.0</td>\n",
       "      <td>1667011.0</td>\n",
       "      <td>-104.957381</td>\n",
       "      <td>39.663490</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>wellshire</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201872333</td>\n",
       "      <td>201872333239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>1/30/2018 7:20:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/30/2018 10:29:00 PM</td>\n",
       "      <td>705 S COLORADO BLVD</td>\n",
       "      <td>3157162.0</td>\n",
       "      <td>1681320.0</td>\n",
       "      <td>-104.941440</td>\n",
       "      <td>39.702698</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>belcaro</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017411405</td>\n",
       "      <td>2017411405230300</td>\n",
       "      <td>2303</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-shoplift</td>\n",
       "      <td>larceny</td>\n",
       "      <td>6/22/2017 8:53:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6/23/2017 4:09:00 PM</td>\n",
       "      <td>2810 E 1ST AVE</td>\n",
       "      <td>3153211.0</td>\n",
       "      <td>1686545.0</td>\n",
       "      <td>-104.955370</td>\n",
       "      <td>39.717107</td>\n",
       "      <td>3</td>\n",
       "      <td>311</td>\n",
       "      <td>cherry-creek</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   INCIDENT_ID         OFFENSE_ID  OFFENSE_CODE  OFFENSE_CODE_EXTENSION  \\\n",
       "0   2016376978   2016376978521300          5213                       0   \n",
       "1  20186000994  20186000994239900          2399                       0   \n",
       "2  20166003953  20166003953230500          2305                       0   \n",
       "3    201872333    201872333239900          2399                       0   \n",
       "4   2017411405   2017411405230300          2303                       0   \n",
       "\n",
       "                OFFENSE_TYPE_ID       OFFENSE_CATEGORY_ID  \\\n",
       "0  weapon-unlawful-discharge-of          all-other-crimes   \n",
       "1                   theft-other                   larceny   \n",
       "2      theft-items-from-vehicle  theft-from-motor-vehicle   \n",
       "3                   theft-other                   larceny   \n",
       "4                theft-shoplift                   larceny   \n",
       "\n",
       "    FIRST_OCCURRENCE_DATE   LAST_OCCURRENCE_DATE          REPORTED_DATE  \\\n",
       "0   6/15/2016 11:31:00 PM                    NaN  6/15/2016 11:31:00 PM   \n",
       "1  10/11/2017 12:30:00 PM  10/11/2017 4:55:00 PM   1/29/2018 5:53:00 PM   \n",
       "2     3/4/2016 8:00:00 PM   4/25/2016 8:00:00 AM   4/26/2016 9:02:00 PM   \n",
       "3    1/30/2018 7:20:00 PM                    NaN  1/30/2018 10:29:00 PM   \n",
       "4    6/22/2017 8:53:00 PM                    NaN   6/23/2017 4:09:00 PM   \n",
       "\n",
       "      INCIDENT_ADDRESS      GEO_X      GEO_Y     GEO_LON    GEO_LAT  \\\n",
       "0                  NaN  3193983.0  1707251.0 -104.809881  39.773188   \n",
       "1                  NaN  3201943.0  1711852.0 -104.781434  39.785649   \n",
       "2  2932 S JOSEPHINE ST  3152762.0  1667011.0 -104.957381  39.663490   \n",
       "3  705 S COLORADO BLVD  3157162.0  1681320.0 -104.941440  39.702698   \n",
       "4       2810 E 1ST AVE  3153211.0  1686545.0 -104.955370  39.717107   \n",
       "\n",
       "   DISTRICT_ID  PRECINCT_ID             NEIGHBORHOOD_ID  IS_CRIME  IS_TRAFFIC  \n",
       "0            5          521                   montbello         1           0  \n",
       "1            5          522  gateway-green-valley-ranch         1           0  \n",
       "2            3          314                   wellshire         1           0  \n",
       "3            3          312                     belcaro         1           0  \n",
       "4            3          311                cherry-creek         1           0  "
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of         INCIDENT_ID         OFFENSE_ID  OFFENSE_CODE  OFFENSE_CODE_EXTENSION  \\\n",
       "0        2016376978   2016376978521300          5213                       0   \n",
       "1       20186000994  20186000994239900          2399                       0   \n",
       "2       20166003953  20166003953230500          2305                       0   \n",
       "3         201872333    201872333239900          2399                       0   \n",
       "4        2017411405   2017411405230300          2303                       0   \n",
       "5         201872837    201872837549900          5499                       0   \n",
       "6       20186001015  20186001015230400          2304                       0   \n",
       "7         201870628    201870628570700          5707                       0   \n",
       "8         201870833    201870833540100          5401                       0   \n",
       "9       20186001048  20186001048230500          2305                       0   \n",
       "10        201872390    201872390357200          3572                       0   \n",
       "11      20186001033  20186001033230400          2304                       0   \n",
       "12       2016340553   2016340553230300          2303                       0   \n",
       "13       2017383968   2017383968240400          2404                       0   \n",
       "14       2016236602   2016236602230300          2303                       0   \n",
       "15      20176004695  20176004695230500          2305                       0   \n",
       "16       2017395809   2017395809240400          2404                       0   \n",
       "17        201869174    201869174570700          5707                       0   \n",
       "18        201869047    201869047260900          2609                       0   \n",
       "19        201871381    201871381544100          5441                       0   \n",
       "20        201871171    201871171549900          5499                       0   \n",
       "21        201869050    201869050544100          5441                       0   \n",
       "22        201872028    201872028540100          5401                       0   \n",
       "23        201871362    201871362549900          5499                       0   \n",
       "24        201870800    201870800220300          2203                       0   \n",
       "25        201871768    201871768279900          2799                       0   \n",
       "26      20188004580  20188004580131600          1316                       0   \n",
       "27        201871234    201871234549900          5499                       0   \n",
       "28       2017294559   2017294559240400          2404                       0   \n",
       "29       2016398281   2016398281570700          5707                       0   \n",
       "...             ...                ...           ...                     ...   \n",
       "507413   2018857700   2018857700357200          3572                       0   \n",
       "507414   2018853002   2018853002549900          5499                       0   \n",
       "507415   2018831464   2018831464131502          1315                       2   \n",
       "507416  20186012306  20186012306230500          2305                       0   \n",
       "507417   2018848949   2018848949131300          1313                       0   \n",
       "507418   2018833780   2018833780540100          5401                       0   \n",
       "507419   2018828431   2018828431299902          2999                       2   \n",
       "507420   2018831730   2018831730544100          5441                       0   \n",
       "507421   2018850308   2018850308230500          2305                       0   \n",
       "507422   2018840372   2018840372299900          2999                       0   \n",
       "507423  20186011951  20186011951230500          2305                       0   \n",
       "507424   2018830009   2018830009544100          5441                       0   \n",
       "507425  20186012075  20186012075230500          2305                       0   \n",
       "507426   2018852153   2018852153544100          5441                       0   \n",
       "507427   2018839386   2018839386299901          2999                       1   \n",
       "507428   2018849302   2018849302549900          5499                       0   \n",
       "507429   2018844859   2018844859240400          2404                       0   \n",
       "507430  20186012154  20186012154230500          2305                       0   \n",
       "507431   2018835201   2018835201549900          5499                       0   \n",
       "507432   2018841426   2018841426544100          5441                       0   \n",
       "507433   2018852133   2018852133544400          5444                       0   \n",
       "507434   2018851005   2018851005480300          4803                       0   \n",
       "507435   2018833650   2018833650239900          2399                       0   \n",
       "507436   2018833372   2018833372220200          2202                       0   \n",
       "507437   2018831574   2018831574540100          5401                       0   \n",
       "507438   2018836985   2018836985549900          5499                       0   \n",
       "507439  20188058998  20188058998260201          2602                       1   \n",
       "507440   2018848306   2018848306544100          5441                       0   \n",
       "507441   2018831000   2018831000549900          5499                       0   \n",
       "507442  20186012081  20186012081230400          2304                       0   \n",
       "\n",
       "                     OFFENSE_TYPE_ID           OFFENSE_CATEGORY_ID  \\\n",
       "0       weapon-unlawful-discharge-of              all-other-crimes   \n",
       "1                        theft-other                       larceny   \n",
       "2           theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "3                        theft-other                       larceny   \n",
       "4                     theft-shoplift                       larceny   \n",
       "5                         traf-other              all-other-crimes   \n",
       "6           theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "7               criminal-trespassing              all-other-crimes   \n",
       "8       traffic-accident-hit-and-run              traffic-accident   \n",
       "9           theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "10       drug-methampetamine-possess                  drug-alcohol   \n",
       "11          theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "12                    theft-shoplift                       larceny   \n",
       "13            theft-of-motor-vehicle                    auto-theft   \n",
       "14                    theft-shoplift                       larceny   \n",
       "15          theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "16            theft-of-motor-vehicle                    auto-theft   \n",
       "17              criminal-trespassing              all-other-crimes   \n",
       "18          fraud-by-use-of-computer            white-collar-crime   \n",
       "19                  traffic-accident              traffic-accident   \n",
       "20                        traf-other              all-other-crimes   \n",
       "21                  traffic-accident              traffic-accident   \n",
       "22      traffic-accident-hit-and-run              traffic-accident   \n",
       "23                        traf-other              all-other-crimes   \n",
       "24        burglary-business-by-force                      burglary   \n",
       "25                    theft-embezzle            white-collar-crime   \n",
       "26                 threats-to-injure               public-disorder   \n",
       "27                        traf-other              all-other-crimes   \n",
       "28            theft-of-motor-vehicle                    auto-theft   \n",
       "29              criminal-trespassing              all-other-crimes   \n",
       "...                              ...                           ...   \n",
       "507413   drug-methampetamine-possess                  drug-alcohol   \n",
       "507414                    traf-other              all-other-crimes   \n",
       "507415        menacing-felony-w-weap            aggravated-assault   \n",
       "507416      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507417                assault-simple  other-crimes-against-persons   \n",
       "507418  traffic-accident-hit-and-run              traffic-accident   \n",
       "507419    criminal-mischief-graffiti               public-disorder   \n",
       "507420              traffic-accident              traffic-accident   \n",
       "507421      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507422       criminal-mischief-other               public-disorder   \n",
       "507423      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507424              traffic-accident              traffic-accident   \n",
       "507425      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507426              traffic-accident              traffic-accident   \n",
       "507427     criminal-mischief-mtr-veh               public-disorder   \n",
       "507428                    traf-other              all-other-crimes   \n",
       "507429        theft-of-motor-vehicle                    auto-theft   \n",
       "507430      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507431                    traf-other              all-other-crimes   \n",
       "507432              traffic-accident              traffic-accident   \n",
       "507433        traf-habitual-offender              all-other-crimes   \n",
       "507434      police-false-information              all-other-crimes   \n",
       "507435                   theft-other                       larceny   \n",
       "507436   burglary-residence-by-force                      burglary   \n",
       "507437  traffic-accident-hit-and-run              traffic-accident   \n",
       "507438                    traf-other              all-other-crimes   \n",
       "507439    theft-fail-return-rent-veh            white-collar-crime   \n",
       "507440              traffic-accident              traffic-accident   \n",
       "507441                    traf-other              all-other-crimes   \n",
       "507442      theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "\n",
       "         FIRST_OCCURRENCE_DATE    LAST_OCCURRENCE_DATE  \\\n",
       "0        6/15/2016 11:31:00 PM                     NaN   \n",
       "1       10/11/2017 12:30:00 PM   10/11/2017 4:55:00 PM   \n",
       "2          3/4/2016 8:00:00 PM    4/25/2016 8:00:00 AM   \n",
       "3         1/30/2018 7:20:00 PM                     NaN   \n",
       "4         6/22/2017 8:53:00 PM                     NaN   \n",
       "5        1/31/2018 12:44:00 AM                     NaN   \n",
       "6         6/1/2017 12:15:00 PM   1/26/2018 12:15:00 PM   \n",
       "7         1/30/2018 7:40:00 AM                     NaN   \n",
       "8         1/30/2018 9:10:00 AM                     NaN   \n",
       "9        1/31/2018 12:55:00 AM    1/31/2018 6:55:00 AM   \n",
       "10        1/30/2018 8:04:00 PM                     NaN   \n",
       "11        1/28/2018 5:25:00 AM    1/30/2018 5:25:00 PM   \n",
       "12        5/31/2016 4:54:00 PM                     NaN   \n",
       "13        2/24/2017 4:55:00 PM    5/24/2017 8:01:00 AM   \n",
       "14        4/16/2016 3:25:00 PM                     NaN   \n",
       "15        5/28/2017 2:00:00 AM    5/28/2017 7:00:00 AM   \n",
       "16        6/16/2017 9:30:00 PM    6/17/2017 7:12:00 AM   \n",
       "17        1/29/2018 2:50:00 PM                     NaN   \n",
       "18        1/4/2018 12:00:00 PM    1/28/2018 6:00:00 PM   \n",
       "19       1/30/2018 12:38:00 PM                     NaN   \n",
       "20       1/30/2018 11:27:00 AM                     NaN   \n",
       "21        1/29/2018 2:16:00 PM                     NaN   \n",
       "22        1/30/2018 3:45:00 PM                     NaN   \n",
       "23       1/30/2018 12:30:00 PM                     NaN   \n",
       "24        1/29/2018 9:30:00 PM    1/30/2018 8:30:00 AM   \n",
       "25      10/30/2017 12:00:00 PM  12/21/2017 12:00:00 PM   \n",
       "26        1/30/2018 2:30:00 PM                     NaN   \n",
       "27       1/30/2018 11:50:00 AM                     NaN   \n",
       "28        5/6/2017 12:00:00 AM     5/6/2017 8:30:00 AM   \n",
       "29        6/12/2016 8:00:00 PM    6/14/2016 8:00:00 PM   \n",
       "...                        ...                     ...   \n",
       "507413  12/20/2018 10:24:00 PM                     NaN   \n",
       "507414   12/18/2018 7:36:00 PM                     NaN   \n",
       "507415   12/9/2018 11:40:00 AM                     NaN   \n",
       "507416   12/19/2018 6:45:00 AM   12/19/2018 7:15:00 AM   \n",
       "507417   12/17/2018 2:15:00 AM                     NaN   \n",
       "507418  12/10/2018 12:50:00 PM                     NaN   \n",
       "507419   12/8/2018 12:00:00 AM   12/8/2018 12:29:00 AM   \n",
       "507420    12/9/2018 2:20:00 PM                     NaN   \n",
       "507421    12/7/2018 4:30:00 PM    12/8/2018 8:15:00 AM   \n",
       "507422   12/13/2018 6:15:00 AM                     NaN   \n",
       "507423    12/7/2018 9:20:00 PM    12/7/2018 9:25:00 PM   \n",
       "507424    12/8/2018 6:19:00 PM                     NaN   \n",
       "507425    12/9/2018 8:00:00 PM   12/10/2018 8:00:00 AM   \n",
       "507426  12/18/2018 12:55:00 PM                     NaN   \n",
       "507427   12/12/2018 5:00:00 PM                     NaN   \n",
       "507428   12/17/2018 8:19:00 AM                     NaN   \n",
       "507429  12/14/2018 11:32:00 PM                     NaN   \n",
       "507430   12/13/2018 8:25:00 PM   12/14/2018 8:00:00 AM   \n",
       "507431   12/11/2018 3:20:00 AM                     NaN   \n",
       "507432   12/13/2018 3:17:00 PM                     NaN   \n",
       "507433   12/18/2018 1:00:00 PM                     NaN   \n",
       "507434  12/17/2018 10:45:00 PM                     NaN   \n",
       "507435    12/8/2018 4:05:00 PM    12/8/2018 5:43:00 PM   \n",
       "507436    12/8/2018 8:00:00 AM  12/10/2018 10:00:00 AM   \n",
       "507437   12/9/2018 12:32:00 PM                     NaN   \n",
       "507438   12/11/2018 6:06:00 PM                     NaN   \n",
       "507439   11/19/2018 4:00:00 PM                     NaN   \n",
       "507440   12/16/2018 5:37:00 PM                     NaN   \n",
       "507441    12/9/2018 5:21:00 AM                     NaN   \n",
       "507442   12/12/2018 4:35:00 PM   12/12/2018 4:35:00 PM   \n",
       "\n",
       "                 REPORTED_DATE                  INCIDENT_ADDRESS      GEO_X  \\\n",
       "0        6/15/2016 11:31:00 PM                               NaN  3193983.0   \n",
       "1         1/29/2018 5:53:00 PM                               NaN  3201943.0   \n",
       "2         4/26/2016 9:02:00 PM               2932 S JOSEPHINE ST  3152762.0   \n",
       "3        1/30/2018 10:29:00 PM               705 S COLORADO BLVD  3157162.0   \n",
       "4         6/23/2017 4:09:00 PM                    2810 E 1ST AVE  3153211.0   \n",
       "5         1/31/2018 1:29:00 AM             2100 BLOCK E 17TH AVE  3151310.0   \n",
       "6        1/26/2018 12:24:00 PM                995 N FEDERAL BLVD  3133441.0   \n",
       "7        1/30/2018 10:33:00 AM         E SPEER BLVD / N GRANT ST  3145202.0   \n",
       "8         1/30/2018 9:17:00 AM        W 13TH AVE / N CHEROKEE ST  3142965.0   \n",
       "9         1/31/2018 7:07:00 AM                    2828 N ZUNI ST  3136231.0   \n",
       "10       1/30/2018 10:12:00 PM          E EVANS AVE / S GRAPE ST  3161788.0   \n",
       "11        1/30/2018 5:42:00 PM                    1220 S INCA ST  3141343.0   \n",
       "12        5/31/2016 6:30:00 PM              1505 S COLORADO BLVD  3156992.0   \n",
       "13        6/12/2017 3:24:00 PM                   2850 W 26TH AVE  3134022.0   \n",
       "14        4/16/2016 4:06:00 PM                   950 S QUEBEC ST  3168039.0   \n",
       "15        5/28/2017 7:58:00 PM             3400 BLK N WYANDOT ST  3136548.0   \n",
       "16        6/17/2017 7:12:00 AM                  6825 E ILIFF AVE  3165912.0   \n",
       "17        1/29/2018 2:50:00 PM                     10TH / COLFAX  3140932.0   \n",
       "18        1/29/2018 2:15:00 PM                    803 S PEARL ST  3146104.0   \n",
       "19       1/30/2018 12:38:00 PM           N HAVANA ST / I70 HWYWB  3178274.0   \n",
       "20       1/30/2018 12:00:00 PM             3900 BLK N PEORIA WAY  3183349.0   \n",
       "21        1/29/2018 3:00:00 PM     E LOWRY BLVD / N YOSEMITE WAY  3173298.0   \n",
       "22        1/30/2018 5:13:00 PM               29TH ST / WELTON ST  3147424.0   \n",
       "23        1/30/2018 1:09:00 PM             3200 BLOCK E 48TH AVE  3154698.0   \n",
       "24        1/30/2018 8:57:00 AM                 5770 E WARREN AVE  3163262.0   \n",
       "25        1/30/2018 3:19:00 PM                7400 E HAMPDEN AVE  3168440.0   \n",
       "26        1/30/2018 3:50:00 PM                    8900 PENA BLVD  3231979.0   \n",
       "27       1/30/2018 12:51:00 PM          1600 BLOCK S BROADWAY ST  3144275.0   \n",
       "28         5/6/2017 9:48:00 AM                               NaN  3131341.0   \n",
       "29        6/24/2016 8:08:00 PM                   5046 N AKRON ST  3173322.0   \n",
       "...                        ...                               ...        ...   \n",
       "507413  12/20/2018 11:48:00 PM      S FEDERAL BLVD / W CEDAR AVE  3133607.0   \n",
       "507414   12/18/2018 7:36:00 PM       E ANDREWS DR / N FRASER WAY  3193289.0   \n",
       "507415   12/9/2018 11:58:00 AM                 3692 N FAIRFAX ST  3160809.0   \n",
       "507416   12/19/2018 1:37:00 PM                 2570 S DAYTON WAY  3176284.0   \n",
       "507417   12/17/2018 3:18:00 AM                       401 16TH ST  3143533.0   \n",
       "507418  12/10/2018 12:54:00 PM          1400 BLK LITTLE RAVEN ST  3138745.0   \n",
       "507419   12/8/2018 12:29:00 AM              4000 BLOCK E 9TH AVE  3157844.0   \n",
       "507420    12/9/2018 3:16:00 PM            I25 HWYSB / W 23RD AVE  3135866.0   \n",
       "507421   12/17/2018 4:01:00 PM                4900 BLK E 6TH AVE  3160374.0   \n",
       "507422   12/13/2018 8:15:00 AM                    757 E 20TH AVE  3146910.0   \n",
       "507423   12/7/2018 11:16:00 PM                 3739 N DOWNING ST  3147959.0   \n",
       "507424    12/8/2018 6:41:00 PM           N BROADWAY ST / 24TH ST  3144123.0   \n",
       "507425   12/12/2018 8:54:00 AM                  3500 ROCKMONT DR  3140355.0   \n",
       "507426   12/19/2018 9:13:00 AM  N CENTRAL PARK BLVD / E 46TH AVE  3173486.0   \n",
       "507427   12/12/2018 6:44:00 PM                2940 CALIFORNIA ST  3147287.0   \n",
       "507428   12/17/2018 8:49:00 AM                               NaN  3125725.0   \n",
       "507429  12/15/2018 12:10:00 AM                   1377 S JASON ST  3140690.0   \n",
       "507430   12/14/2018 8:39:00 PM                 5083 N OSCEOLA ST  3129716.0   \n",
       "507431   12/11/2018 4:01:00 AM              I25 HWY NB / 20TH ST  3141363.0   \n",
       "507432   12/13/2018 4:45:00 PM            I25 HWYNB / W 23RD AVE  3135940.0   \n",
       "507433   12/18/2018 1:51:00 PM          E 51ST AVE / N UVALDA ST  3186710.0   \n",
       "507434  12/18/2018 12:23:00 AM              800 BLOCK E 52ND AVE  3147021.0   \n",
       "507435  12/10/2018 12:01:00 PM                   1510 S HOLLY ST  3162685.0   \n",
       "507436  12/10/2018 12:37:00 PM                   1477 N UTICA ST  3127809.0   \n",
       "507437   12/9/2018 12:32:00 PM           3300 BLOCK W COLFAX AVE  3132123.0   \n",
       "507438   12/11/2018 6:22:00 PM           3300 BLOCK E COLFAX AVE  3155222.0   \n",
       "507439   12/14/2018 3:56:00 PM                  24890 E 78TH AVE  3225444.0   \n",
       "507440   12/16/2018 6:43:00 PM      E IOWA AVE / S COLORADO BLVD  3157417.0   \n",
       "507441    12/9/2018 6:15:00 AM            1400 BLOCK N IRVING ST  3132244.0   \n",
       "507442   12/12/2018 4:42:00 PM                  4300 E EVANS AVE  3158445.0   \n",
       "\n",
       "            GEO_Y     GEO_LON    GEO_LAT  DISTRICT_ID  PRECINCT_ID  \\\n",
       "0       1707251.0 -104.809881  39.773188            5          521   \n",
       "1       1711852.0 -104.781434  39.785649            5          522   \n",
       "2       1667011.0 -104.957381  39.663490            3          314   \n",
       "3       1681320.0 -104.941440  39.702698            3          312   \n",
       "4       1686545.0 -104.955370  39.717107            3          311   \n",
       "5       1696020.0 -104.961928  39.743149            6          622   \n",
       "6       1692147.0 -105.025543  39.732790            1          122   \n",
       "7       1688799.0 -104.983794  39.723424            3          311   \n",
       "8       1693682.0 -104.991650  39.736863            6          611   \n",
       "9       1701209.0 -105.015451  39.757627            1          113   \n",
       "10      1672521.0 -104.925197  39.678463            3          323   \n",
       "11      1678270.0 -104.997720  39.694578            4          422   \n",
       "12      1676337.0 -104.942153  39.689021            3          312   \n",
       "13      1700050.0 -105.023330  39.754477            1          121   \n",
       "14      1680120.0 -104.902812  39.699214            3          321   \n",
       "15      1703738.0 -105.014275  39.764565            1          113   \n",
       "16      1671324.0 -104.910573  39.675105            3          323   \n",
       "17      1694856.0 -104.998855  39.740117            1          123   \n",
       "18      1680940.0 -104.980747  39.701835            3          312   \n",
       "19      1708100.0 -104.865745  39.775833            5          511   \n",
       "20      1706918.0 -104.847720  39.772489            5          512   \n",
       "21      1689004.0 -104.883909  39.723506            3          321   \n",
       "22      1700922.0 -104.975646  39.756668            2          211   \n",
       "23      1710827.0 -104.949562  39.783741            2          212   \n",
       "24      1671541.0 -104.919983  39.675747            3          323   \n",
       "25      1663019.0 -104.901787  39.652260            3          324   \n",
       "26      1738721.0 -104.673694  39.858704            7          759   \n",
       "27      1675694.0 -104.987353  39.687462            3          313   \n",
       "28      1693841.0 -105.032978  39.737471            1          122   \n",
       "29      1712972.0 -104.883245  39.789301            5          511   \n",
       "...           ...         ...        ...          ...          ...   \n",
       "507413  1685080.0 -105.025084  39.713388            4          411   \n",
       "507414  1707829.0 -104.812335  39.774789            5          521   \n",
       "507415  1705490.0 -104.927938  39.768986            2          221   \n",
       "507416  1669524.0 -104.873771  39.669973            3          323   \n",
       "507417  1696058.0 -104.989583  39.743377            6          611   \n",
       "507418  1699884.0 -105.006535  39.753952            6          612   \n",
       "507419  1691621.0 -104.938790  39.730965            2          222   \n",
       "507420  1698897.0 -105.016793  39.751285            1          123   \n",
       "507421  1689800.0 -104.929835  39.725922            2          222   \n",
       "507422  1697792.0 -104.977538  39.748084            6          621   \n",
       "507423  1705255.0 -104.973654  39.768555            2          211   \n",
       "507424  1700801.0 -104.987389  39.756388            6          612   \n",
       "507425  1703205.0 -105.000744  39.763045            1          113   \n",
       "507426  1709593.0 -104.882743  39.780022            5          511   \n",
       "507427  1701227.0 -104.976127  39.757508            2          211   \n",
       "507428  1678337.0 -105.053218  39.694986            4          421   \n",
       "507429  1677180.0 -105.000062  39.691596            4          422   \n",
       "507430  1712586.0 -105.038418  39.788952            1          111   \n",
       "507431  1700888.0 -104.997204  39.756669            6          612   \n",
       "507432  1698910.0 -105.016530  39.751320            1          123   \n",
       "507433  1713706.0 -104.835587  39.791057            5          521   \n",
       "507434  1713417.0 -104.976824  39.790975            1          112   \n",
       "507435  1676391.0 -104.921923  39.689072            3          322   \n",
       "507436  1694752.0 -105.045521  39.740021            1          122   \n",
       "507437  1694860.0 -105.030179  39.740257            1          122   \n",
       "507438  1694846.0 -104.948043  39.739862            2          213   \n",
       "507439  1730468.0 -104.697230  39.836210            7          759   \n",
       "507440  1675782.0 -104.940655  39.687491            3          312   \n",
       "507441  1694350.0 -105.029758  39.738855            1          122   \n",
       "507442  1672408.0 -104.937077  39.678211            3          314   \n",
       "\n",
       "                   NEIGHBORHOOD_ID  IS_CRIME  IS_TRAFFIC  \n",
       "0                        montbello         1           0  \n",
       "1       gateway-green-valley-ranch         1           0  \n",
       "2                        wellshire         1           0  \n",
       "3                          belcaro         1           0  \n",
       "4                     cherry-creek         1           0  \n",
       "5                   city-park-west         1           0  \n",
       "6                       villa-park         1           0  \n",
       "7                            speer         1           0  \n",
       "8                     civic-center         0           1  \n",
       "9                         highland         1           0  \n",
       "10                       goldsmith         1           0  \n",
       "11                       ruby-hill         1           0  \n",
       "12                    cory-merrill         1           0  \n",
       "13                  jefferson-park         1           0  \n",
       "14                         windsor         1           0  \n",
       "15                        highland         1           0  \n",
       "16                       goldsmith         1           0  \n",
       "17                    lincoln-park         1           0  \n",
       "18            washington-park-west         1           0  \n",
       "19                       stapleton         0           1  \n",
       "20                       stapleton         1           0  \n",
       "21                     lowry-field         0           1  \n",
       "22                     five-points         0           1  \n",
       "23                  elyria-swansea         1           0  \n",
       "24                       goldsmith         1           0  \n",
       "25                   hampden-south         1           0  \n",
       "26                             dia         1           0  \n",
       "27                      platt-park         1           0  \n",
       "28                     west-colfax         1           0  \n",
       "29                       stapleton         1           0  \n",
       "...                            ...       ...         ...  \n",
       "507413                      barnum         1           0  \n",
       "507414                   montbello         1           0  \n",
       "507415         northeast-park-hill         1           0  \n",
       "507416                     hampden         1           0  \n",
       "507417                         cbd         1           0  \n",
       "507418               union-station         0           1  \n",
       "507419                        hale         1           0  \n",
       "507420              jefferson-park         0           1  \n",
       "507421                        hale         1           0  \n",
       "507422                 five-points         1           0  \n",
       "507423                 five-points         1           0  \n",
       "507424                 five-points         0           1  \n",
       "507425                    highland         1           0  \n",
       "507426                   stapleton         0           1  \n",
       "507427                 five-points         1           0  \n",
       "507428                     mar-lee         1           0  \n",
       "507429                   ruby-hill         1           0  \n",
       "507430                       regis         1           0  \n",
       "507431                 five-points         1           0  \n",
       "507432              jefferson-park         0           1  \n",
       "507433                   montbello         1           0  \n",
       "507434                  globeville         1           0  \n",
       "507435            virginia-village         1           0  \n",
       "507436                 west-colfax         1           0  \n",
       "507437                 west-colfax         0           1  \n",
       "507438               congress-park         1           0  \n",
       "507439                         dia         1           0  \n",
       "507440                cory-merrill         0           1  \n",
       "507441                 west-colfax         1           0  \n",
       "507442            university-hills         1           0  \n",
       "\n",
       "[507443 rows x 19 columns]>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    375260\n",
       "1    132183\n",
       "Name: IS_TRAFFIC, dtype: int64"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['IS_TRAFFIC'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    375532\n",
       "0    131911\n",
       "Name: IS_CRIME, dtype: int64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['IS_CRIME'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns={'GEO_X','GEO_Y'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        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_ID</th>\n",
       "      <th>OFFENSE_ID</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <th>OFFENSE_TYPE_ID</th>\n",
       "      <th>OFFENSE_CATEGORY_ID</th>\n",
       "      <th>FIRST_OCCURRENCE_DATE</th>\n",
       "      <th>LAST_OCCURRENCE_DATE</th>\n",
       "      <th>REPORTED_DATE</th>\n",
       "      <th>INCIDENT_ADDRESS</th>\n",
       "      <th>GEO_LON</th>\n",
       "      <th>GEO_LAT</th>\n",
       "      <th>DISTRICT_ID</th>\n",
       "      <th>PRECINCT_ID</th>\n",
       "      <th>NEIGHBORHOOD_ID</th>\n",
       "      <th>IS_CRIME</th>\n",
       "      <th>IS_TRAFFIC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016376978</td>\n",
       "      <td>2016376978521300</td>\n",
       "      <td>5213</td>\n",
       "      <td>0</td>\n",
       "      <td>weapon-unlawful-discharge-of</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>6/15/2016 11:31:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6/15/2016 11:31:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-104.809881</td>\n",
       "      <td>39.773188</td>\n",
       "      <td>5</td>\n",
       "      <td>521</td>\n",
       "      <td>montbello</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20186000994</td>\n",
       "      <td>20186000994239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>10/11/2017 12:30:00 PM</td>\n",
       "      <td>10/11/2017 4:55:00 PM</td>\n",
       "      <td>1/29/2018 5:53:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-104.781434</td>\n",
       "      <td>39.785649</td>\n",
       "      <td>5</td>\n",
       "      <td>522</td>\n",
       "      <td>gateway-green-valley-ranch</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20166003953</td>\n",
       "      <td>20166003953230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>3/4/2016 8:00:00 PM</td>\n",
       "      <td>4/25/2016 8:00:00 AM</td>\n",
       "      <td>4/26/2016 9:02:00 PM</td>\n",
       "      <td>2932 S JOSEPHINE ST</td>\n",
       "      <td>-104.957381</td>\n",
       "      <td>39.663490</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>wellshire</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201872333</td>\n",
       "      <td>201872333239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>1/30/2018 7:20:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/30/2018 10:29:00 PM</td>\n",
       "      <td>705 S COLORADO BLVD</td>\n",
       "      <td>-104.941440</td>\n",
       "      <td>39.702698</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>belcaro</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017411405</td>\n",
       "      <td>2017411405230300</td>\n",
       "      <td>2303</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-shoplift</td>\n",
       "      <td>larceny</td>\n",
       "      <td>6/22/2017 8:53:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6/23/2017 4:09:00 PM</td>\n",
       "      <td>2810 E 1ST AVE</td>\n",
       "      <td>-104.955370</td>\n",
       "      <td>39.717107</td>\n",
       "      <td>3</td>\n",
       "      <td>311</td>\n",
       "      <td>cherry-creek</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   INCIDENT_ID         OFFENSE_ID  OFFENSE_CODE  OFFENSE_CODE_EXTENSION  \\\n",
       "0   2016376978   2016376978521300          5213                       0   \n",
       "1  20186000994  20186000994239900          2399                       0   \n",
       "2  20166003953  20166003953230500          2305                       0   \n",
       "3    201872333    201872333239900          2399                       0   \n",
       "4   2017411405   2017411405230300          2303                       0   \n",
       "\n",
       "                OFFENSE_TYPE_ID       OFFENSE_CATEGORY_ID  \\\n",
       "0  weapon-unlawful-discharge-of          all-other-crimes   \n",
       "1                   theft-other                   larceny   \n",
       "2      theft-items-from-vehicle  theft-from-motor-vehicle   \n",
       "3                   theft-other                   larceny   \n",
       "4                theft-shoplift                   larceny   \n",
       "\n",
       "    FIRST_OCCURRENCE_DATE   LAST_OCCURRENCE_DATE          REPORTED_DATE  \\\n",
       "0   6/15/2016 11:31:00 PM                    NaN  6/15/2016 11:31:00 PM   \n",
       "1  10/11/2017 12:30:00 PM  10/11/2017 4:55:00 PM   1/29/2018 5:53:00 PM   \n",
       "2     3/4/2016 8:00:00 PM   4/25/2016 8:00:00 AM   4/26/2016 9:02:00 PM   \n",
       "3    1/30/2018 7:20:00 PM                    NaN  1/30/2018 10:29:00 PM   \n",
       "4    6/22/2017 8:53:00 PM                    NaN   6/23/2017 4:09:00 PM   \n",
       "\n",
       "      INCIDENT_ADDRESS     GEO_LON    GEO_LAT  DISTRICT_ID  PRECINCT_ID  \\\n",
       "0                  NaN -104.809881  39.773188            5          521   \n",
       "1                  NaN -104.781434  39.785649            5          522   \n",
       "2  2932 S JOSEPHINE ST -104.957381  39.663490            3          314   \n",
       "3  705 S COLORADO BLVD -104.941440  39.702698            3          312   \n",
       "4       2810 E 1ST AVE -104.955370  39.717107            3          311   \n",
       "\n",
       "              NEIGHBORHOOD_ID  IS_CRIME  IS_TRAFFIC  \n",
       "0                   montbello         1           0  \n",
       "1  gateway-green-valley-ranch         1           0  \n",
       "2                   wellshire         1           0  \n",
       "3                     belcaro         1           0  \n",
       "4                cherry-creek         1           0  "
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1=data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "cormat=data1.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>INCIDENT_ID</th>\n",
       "      <th>OFFENSE_ID</th>\n",
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       "      <th>OFFENSE_CODE</th>\n",
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       "      <td>-0.130788</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.075584</td>\n",
       "      <td>0.010430</td>\n",
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       "      <td>-0.042400</td>\n",
       "      <td>-0.042824</td>\n",
       "      <td>-0.572404</td>\n",
       "      <td>0.573220</td>\n",
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       "    <tr>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <td>0.030582</td>\n",
       "      <td>0.030582</td>\n",
       "      <td>-0.075584</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.003817</td>\n",
       "      <td>0.003922</td>\n",
       "      <td>0.017527</td>\n",
       "      <td>0.017752</td>\n",
       "      <td>0.210293</td>\n",
       "      <td>-0.210586</td>\n",
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       "    <tr>\n",
       "      <th>GEO_LON</th>\n",
       "      <td>0.000173</td>\n",
       "      <td>0.000173</td>\n",
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       "      <td>-0.003817</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.997053</td>\n",
       "      <td>0.045063</td>\n",
       "      <td>0.049765</td>\n",
       "      <td>-0.020847</td>\n",
       "      <td>0.021047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEO_LAT</th>\n",
       "      <td>0.004627</td>\n",
       "      <td>0.004627</td>\n",
       "      <td>-0.009174</td>\n",
       "      <td>0.003922</td>\n",
       "      <td>-0.997053</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032667</td>\n",
       "      <td>-0.036838</td>\n",
       "      <td>0.020851</td>\n",
       "      <td>-0.021060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DISTRICT_ID</th>\n",
       "      <td>0.045774</td>\n",
       "      <td>0.045774</td>\n",
       "      <td>-0.042400</td>\n",
       "      <td>0.017527</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>0.999149</td>\n",
       "      <td>0.075429</td>\n",
       "      <td>-0.075707</td>\n",
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       "    <tr>\n",
       "      <th>PRECINCT_ID</th>\n",
       "      <td>0.049675</td>\n",
       "      <td>0.049675</td>\n",
       "      <td>-0.042824</td>\n",
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       "      <td>0.075432</td>\n",
       "      <td>-0.075712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_CRIME</th>\n",
       "      <td>0.096598</td>\n",
       "      <td>0.096598</td>\n",
       "      <td>-0.572404</td>\n",
       "      <td>0.210293</td>\n",
       "      <td>-0.020847</td>\n",
       "      <td>0.020851</td>\n",
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       "      <td>1.000000</td>\n",
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      "text/plain": [
       "                        INCIDENT_ID  OFFENSE_ID  OFFENSE_CODE  \\\n",
       "INCIDENT_ID                1.000000    1.000000     -0.130788   \n",
       "OFFENSE_ID                 1.000000    1.000000     -0.130788   \n",
       "OFFENSE_CODE              -0.130788   -0.130788      1.000000   \n",
       "OFFENSE_CODE_EXTENSION     0.030582    0.030582     -0.075584   \n",
       "GEO_LON                    0.000173    0.000173      0.010430   \n",
       "GEO_LAT                    0.004627    0.004627     -0.009174   \n",
       "DISTRICT_ID                0.045774    0.045774     -0.042400   \n",
       "PRECINCT_ID                0.049675    0.049675     -0.042824   \n",
       "IS_CRIME                   0.096598    0.096598     -0.572404   \n",
       "IS_TRAFFIC                -0.096775   -0.096775      0.573220   \n",
       "\n",
       "                        OFFENSE_CODE_EXTENSION   GEO_LON   GEO_LAT  \\\n",
       "INCIDENT_ID                           0.030582  0.000173  0.004627   \n",
       "OFFENSE_ID                            0.030582  0.000173  0.004627   \n",
       "OFFENSE_CODE                         -0.075584  0.010430 -0.009174   \n",
       "OFFENSE_CODE_EXTENSION                1.000000 -0.003817  0.003922   \n",
       "GEO_LON                              -0.003817  1.000000 -0.997053   \n",
       "GEO_LAT                               0.003922 -0.997053  1.000000   \n",
       "DISTRICT_ID                           0.017527  0.045063 -0.032667   \n",
       "PRECINCT_ID                           0.017752  0.049765 -0.036838   \n",
       "IS_CRIME                              0.210293 -0.020847  0.020851   \n",
       "IS_TRAFFIC                           -0.210586  0.021047 -0.021060   \n",
       "\n",
       "                        DISTRICT_ID  PRECINCT_ID  IS_CRIME  IS_TRAFFIC  \n",
       "INCIDENT_ID                0.045774     0.049675  0.096598   -0.096775  \n",
       "OFFENSE_ID                 0.045774     0.049675  0.096598   -0.096775  \n",
       "OFFENSE_CODE              -0.042400    -0.042824 -0.572404    0.573220  \n",
       "OFFENSE_CODE_EXTENSION     0.017527     0.017752  0.210293   -0.210586  \n",
       "GEO_LON                    0.045063     0.049765 -0.020847    0.021047  \n",
       "GEO_LAT                   -0.032667    -0.036838  0.020851   -0.021060  \n",
       "DISTRICT_ID                1.000000     0.999149  0.075429   -0.075707  \n",
       "PRECINCT_ID                0.999149     1.000000  0.075432   -0.075712  \n",
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       "IS_TRAFFIC                -0.075707    -0.075712 -0.998609    1.000000  "
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cormat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21e4e1e8c50>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 648x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax = plt.subplots(figsize=(9,8))\n",
    "sns.heatmap(cormat, ax=ax, cmap=\"Blues\",linewidths=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.drop(columns={\"IS_TRAFFIC\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=data1[\"DISTRICT_ID\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds=data1[\"PRECINCT_ID\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "dn=data1[\"NEIGHBORHOOD_ID\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "78"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dn.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind=pd.isnull(data1[\"INCIDENT_ADDRESS\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "Name: INCIDENT_ADDRESS, dtype: bool"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49573"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.drop(columns={\"INCIDENT_ADDRESS\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['REPORTED_DATE']=pd.to_datetime(data1['REPORTED_DATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['YEAR'] = data1['REPORTED_DATE'].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['MONTH'] = data1['REPORTED_DATE'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['DAY'] = data1['REPORTED_DATE'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1['HOUR'] = data1['REPORTED_DATE'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>INCIDENT_ID</th>\n",
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       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY</th>\n",
       "      <th>HOUR</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2016376978</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2016-06-15 23:31:00</td>\n",
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       "      <td>521</td>\n",
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       "      <td>0</td>\n",
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       "      <td>10/11/2017 4:55:00 PM</td>\n",
       "      <td>2018-01-29 17:53:00</td>\n",
       "      <td>-104.781434</td>\n",
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       "      <td>522</td>\n",
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       "      <td>1</td>\n",
       "      <td>29</td>\n",
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       "      <td>20166003953</td>\n",
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       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
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       "      <td>3/4/2016 8:00:00 PM</td>\n",
       "      <td>4/25/2016 8:00:00 AM</td>\n",
       "      <td>2016-04-26 21:02:00</td>\n",
       "      <td>-104.957381</td>\n",
       "      <td>39.663490</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>wellshire</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201872333</td>\n",
       "      <td>201872333239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>1/30/2018 7:20:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 22:29:00</td>\n",
       "      <td>-104.941440</td>\n",
       "      <td>39.702698</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>belcaro</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017411405</td>\n",
       "      <td>2017411405230300</td>\n",
       "      <td>2303</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-shoplift</td>\n",
       "      <td>larceny</td>\n",
       "      <td>6/22/2017 8:53:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-06-23 16:09:00</td>\n",
       "      <td>-104.955370</td>\n",
       "      <td>39.717107</td>\n",
       "      <td>3</td>\n",
       "      <td>311</td>\n",
       "      <td>cherry-creek</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>201872837</td>\n",
       "      <td>201872837549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/31/2018 12:44:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-31 01:29:00</td>\n",
       "      <td>-104.961928</td>\n",
       "      <td>39.743149</td>\n",
       "      <td>6</td>\n",
       "      <td>622</td>\n",
       "      <td>city-park-west</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20186001015</td>\n",
       "      <td>20186001015230400</td>\n",
       "      <td>2304</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-parts-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>6/1/2017 12:15:00 PM</td>\n",
       "      <td>1/26/2018 12:15:00 PM</td>\n",
       "      <td>2018-01-26 12:24:00</td>\n",
       "      <td>-105.025543</td>\n",
       "      <td>39.732790</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>villa-park</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>201870628</td>\n",
       "      <td>201870628570700</td>\n",
       "      <td>5707</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-trespassing</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/30/2018 7:40:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 10:33:00</td>\n",
       "      <td>-104.983794</td>\n",
       "      <td>39.723424</td>\n",
       "      <td>3</td>\n",
       "      <td>311</td>\n",
       "      <td>speer</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>201870833</td>\n",
       "      <td>201870833540100</td>\n",
       "      <td>5401</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident-hit-and-run</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>1/30/2018 9:10:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 09:17:00</td>\n",
       "      <td>-104.991650</td>\n",
       "      <td>39.736863</td>\n",
       "      <td>6</td>\n",
       "      <td>611</td>\n",
       "      <td>civic-center</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20186001048</td>\n",
       "      <td>20186001048230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>1/31/2018 12:55:00 AM</td>\n",
       "      <td>1/31/2018 6:55:00 AM</td>\n",
       "      <td>2018-01-31 07:07:00</td>\n",
       "      <td>-105.015451</td>\n",
       "      <td>39.757627</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>highland</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>201872390</td>\n",
       "      <td>201872390357200</td>\n",
       "      <td>3572</td>\n",
       "      <td>0</td>\n",
       "      <td>drug-methampetamine-possess</td>\n",
       "      <td>drug-alcohol</td>\n",
       "      <td>1/30/2018 8:04:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 22:12:00</td>\n",
       "      <td>-104.925197</td>\n",
       "      <td>39.678463</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>goldsmith</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20186001033</td>\n",
       "      <td>20186001033230400</td>\n",
       "      <td>2304</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-parts-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>1/28/2018 5:25:00 AM</td>\n",
       "      <td>1/30/2018 5:25:00 PM</td>\n",
       "      <td>2018-01-30 17:42:00</td>\n",
       "      <td>-104.997720</td>\n",
       "      <td>39.694578</td>\n",
       "      <td>4</td>\n",
       "      <td>422</td>\n",
       "      <td>ruby-hill</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016340553</td>\n",
       "      <td>2016340553230300</td>\n",
       "      <td>2303</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-shoplift</td>\n",
       "      <td>larceny</td>\n",
       "      <td>5/31/2016 4:54:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 18:30:00</td>\n",
       "      <td>-104.942153</td>\n",
       "      <td>39.689021</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>cory-merrill</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>31</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2017383968</td>\n",
       "      <td>2017383968240400</td>\n",
       "      <td>2404</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-of-motor-vehicle</td>\n",
       "      <td>auto-theft</td>\n",
       "      <td>2/24/2017 4:55:00 PM</td>\n",
       "      <td>5/24/2017 8:01:00 AM</td>\n",
       "      <td>2017-06-12 15:24:00</td>\n",
       "      <td>-105.023330</td>\n",
       "      <td>39.754477</td>\n",
       "      <td>1</td>\n",
       "      <td>121</td>\n",
       "      <td>jefferson-park</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2016236602</td>\n",
       "      <td>2016236602230300</td>\n",
       "      <td>2303</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-shoplift</td>\n",
       "      <td>larceny</td>\n",
       "      <td>4/16/2016 3:25:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-04-16 16:06:00</td>\n",
       "      <td>-104.902812</td>\n",
       "      <td>39.699214</td>\n",
       "      <td>3</td>\n",
       "      <td>321</td>\n",
       "      <td>windsor</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20176004695</td>\n",
       "      <td>20176004695230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>5/28/2017 2:00:00 AM</td>\n",
       "      <td>5/28/2017 7:00:00 AM</td>\n",
       "      <td>2017-05-28 19:58:00</td>\n",
       "      <td>-105.014275</td>\n",
       "      <td>39.764565</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>highland</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2017395809</td>\n",
       "      <td>2017395809240400</td>\n",
       "      <td>2404</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-of-motor-vehicle</td>\n",
       "      <td>auto-theft</td>\n",
       "      <td>6/16/2017 9:30:00 PM</td>\n",
       "      <td>6/17/2017 7:12:00 AM</td>\n",
       "      <td>2017-06-17 07:12:00</td>\n",
       "      <td>-104.910573</td>\n",
       "      <td>39.675105</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>goldsmith</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>201869174</td>\n",
       "      <td>201869174570700</td>\n",
       "      <td>5707</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-trespassing</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/29/2018 2:50:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-29 14:50:00</td>\n",
       "      <td>-104.998855</td>\n",
       "      <td>39.740117</td>\n",
       "      <td>1</td>\n",
       "      <td>123</td>\n",
       "      <td>lincoln-park</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>201869047</td>\n",
       "      <td>201869047260900</td>\n",
       "      <td>2609</td>\n",
       "      <td>0</td>\n",
       "      <td>fraud-by-use-of-computer</td>\n",
       "      <td>white-collar-crime</td>\n",
       "      <td>1/4/2018 12:00:00 PM</td>\n",
       "      <td>1/28/2018 6:00:00 PM</td>\n",
       "      <td>2018-01-29 14:15:00</td>\n",
       "      <td>-104.980747</td>\n",
       "      <td>39.701835</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>washington-park-west</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>201871381</td>\n",
       "      <td>201871381544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>1/30/2018 12:38:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 12:38:00</td>\n",
       "      <td>-104.865745</td>\n",
       "      <td>39.775833</td>\n",
       "      <td>5</td>\n",
       "      <td>511</td>\n",
       "      <td>stapleton</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>201871171</td>\n",
       "      <td>201871171549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/30/2018 11:27:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 12:00:00</td>\n",
       "      <td>-104.847720</td>\n",
       "      <td>39.772489</td>\n",
       "      <td>5</td>\n",
       "      <td>512</td>\n",
       "      <td>stapleton</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>201869050</td>\n",
       "      <td>201869050544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>1/29/2018 2:16:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-29 15:00:00</td>\n",
       "      <td>-104.883909</td>\n",
       "      <td>39.723506</td>\n",
       "      <td>3</td>\n",
       "      <td>321</td>\n",
       "      <td>lowry-field</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>201872028</td>\n",
       "      <td>201872028540100</td>\n",
       "      <td>5401</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident-hit-and-run</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>1/30/2018 3:45:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 17:13:00</td>\n",
       "      <td>-104.975646</td>\n",
       "      <td>39.756668</td>\n",
       "      <td>2</td>\n",
       "      <td>211</td>\n",
       "      <td>five-points</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>201871362</td>\n",
       "      <td>201871362549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/30/2018 12:30:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 13:09:00</td>\n",
       "      <td>-104.949562</td>\n",
       "      <td>39.783741</td>\n",
       "      <td>2</td>\n",
       "      <td>212</td>\n",
       "      <td>elyria-swansea</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>201870800</td>\n",
       "      <td>201870800220300</td>\n",
       "      <td>2203</td>\n",
       "      <td>0</td>\n",
       "      <td>burglary-business-by-force</td>\n",
       "      <td>burglary</td>\n",
       "      <td>1/29/2018 9:30:00 PM</td>\n",
       "      <td>1/30/2018 8:30:00 AM</td>\n",
       "      <td>2018-01-30 08:57:00</td>\n",
       "      <td>-104.919983</td>\n",
       "      <td>39.675747</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>goldsmith</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>201871768</td>\n",
       "      <td>201871768279900</td>\n",
       "      <td>2799</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-embezzle</td>\n",
       "      <td>white-collar-crime</td>\n",
       "      <td>10/30/2017 12:00:00 PM</td>\n",
       "      <td>12/21/2017 12:00:00 PM</td>\n",
       "      <td>2018-01-30 15:19:00</td>\n",
       "      <td>-104.901787</td>\n",
       "      <td>39.652260</td>\n",
       "      <td>3</td>\n",
       "      <td>324</td>\n",
       "      <td>hampden-south</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20188004580</td>\n",
       "      <td>20188004580131600</td>\n",
       "      <td>1316</td>\n",
       "      <td>0</td>\n",
       "      <td>threats-to-injure</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>1/30/2018 2:30:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 15:50:00</td>\n",
       "      <td>-104.673694</td>\n",
       "      <td>39.858704</td>\n",
       "      <td>7</td>\n",
       "      <td>759</td>\n",
       "      <td>dia</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>201871234</td>\n",
       "      <td>201871234549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>1/30/2018 11:50:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-30 12:51:00</td>\n",
       "      <td>-104.987353</td>\n",
       "      <td>39.687462</td>\n",
       "      <td>3</td>\n",
       "      <td>313</td>\n",
       "      <td>platt-park</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2017294559</td>\n",
       "      <td>2017294559240400</td>\n",
       "      <td>2404</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-of-motor-vehicle</td>\n",
       "      <td>auto-theft</td>\n",
       "      <td>5/6/2017 12:00:00 AM</td>\n",
       "      <td>5/6/2017 8:30:00 AM</td>\n",
       "      <td>2017-05-06 09:48:00</td>\n",
       "      <td>-105.032978</td>\n",
       "      <td>39.737471</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>west-colfax</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2016398281</td>\n",
       "      <td>2016398281570700</td>\n",
       "      <td>5707</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-trespassing</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>6/12/2016 8:00:00 PM</td>\n",
       "      <td>6/14/2016 8:00:00 PM</td>\n",
       "      <td>2016-06-24 20:08:00</td>\n",
       "      <td>-104.883245</td>\n",
       "      <td>39.789301</td>\n",
       "      <td>5</td>\n",
       "      <td>511</td>\n",
       "      <td>stapleton</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>20</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507413</th>\n",
       "      <td>2018857700</td>\n",
       "      <td>2018857700357200</td>\n",
       "      <td>3572</td>\n",
       "      <td>0</td>\n",
       "      <td>drug-methampetamine-possess</td>\n",
       "      <td>drug-alcohol</td>\n",
       "      <td>12/20/2018 10:24:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-20 23:48:00</td>\n",
       "      <td>-105.025084</td>\n",
       "      <td>39.713388</td>\n",
       "      <td>4</td>\n",
       "      <td>411</td>\n",
       "      <td>barnum</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507414</th>\n",
       "      <td>2018853002</td>\n",
       "      <td>2018853002549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/18/2018 7:36:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-18 19:36:00</td>\n",
       "      <td>-104.812335</td>\n",
       "      <td>39.774789</td>\n",
       "      <td>5</td>\n",
       "      <td>521</td>\n",
       "      <td>montbello</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507415</th>\n",
       "      <td>2018831464</td>\n",
       "      <td>2018831464131502</td>\n",
       "      <td>1315</td>\n",
       "      <td>2</td>\n",
       "      <td>menacing-felony-w-weap</td>\n",
       "      <td>aggravated-assault</td>\n",
       "      <td>12/9/2018 11:40:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-09 11:58:00</td>\n",
       "      <td>-104.927938</td>\n",
       "      <td>39.768986</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>northeast-park-hill</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507416</th>\n",
       "      <td>20186012306</td>\n",
       "      <td>20186012306230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/19/2018 6:45:00 AM</td>\n",
       "      <td>12/19/2018 7:15:00 AM</td>\n",
       "      <td>2018-12-19 13:37:00</td>\n",
       "      <td>-104.873771</td>\n",
       "      <td>39.669973</td>\n",
       "      <td>3</td>\n",
       "      <td>323</td>\n",
       "      <td>hampden</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507417</th>\n",
       "      <td>2018848949</td>\n",
       "      <td>2018848949131300</td>\n",
       "      <td>1313</td>\n",
       "      <td>0</td>\n",
       "      <td>assault-simple</td>\n",
       "      <td>other-crimes-against-persons</td>\n",
       "      <td>12/17/2018 2:15:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-17 03:18:00</td>\n",
       "      <td>-104.989583</td>\n",
       "      <td>39.743377</td>\n",
       "      <td>6</td>\n",
       "      <td>611</td>\n",
       "      <td>cbd</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507418</th>\n",
       "      <td>2018833780</td>\n",
       "      <td>2018833780540100</td>\n",
       "      <td>5401</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident-hit-and-run</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/10/2018 12:50:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-10 12:54:00</td>\n",
       "      <td>-105.006535</td>\n",
       "      <td>39.753952</td>\n",
       "      <td>6</td>\n",
       "      <td>612</td>\n",
       "      <td>union-station</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507419</th>\n",
       "      <td>2018828431</td>\n",
       "      <td>2018828431299902</td>\n",
       "      <td>2999</td>\n",
       "      <td>2</td>\n",
       "      <td>criminal-mischief-graffiti</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>12/8/2018 12:00:00 AM</td>\n",
       "      <td>12/8/2018 12:29:00 AM</td>\n",
       "      <td>2018-12-08 00:29:00</td>\n",
       "      <td>-104.938790</td>\n",
       "      <td>39.730965</td>\n",
       "      <td>2</td>\n",
       "      <td>222</td>\n",
       "      <td>hale</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507420</th>\n",
       "      <td>2018831730</td>\n",
       "      <td>2018831730544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/9/2018 2:20:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-09 15:16:00</td>\n",
       "      <td>-105.016793</td>\n",
       "      <td>39.751285</td>\n",
       "      <td>1</td>\n",
       "      <td>123</td>\n",
       "      <td>jefferson-park</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507421</th>\n",
       "      <td>2018850308</td>\n",
       "      <td>2018850308230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/7/2018 4:30:00 PM</td>\n",
       "      <td>12/8/2018 8:15:00 AM</td>\n",
       "      <td>2018-12-17 16:01:00</td>\n",
       "      <td>-104.929835</td>\n",
       "      <td>39.725922</td>\n",
       "      <td>2</td>\n",
       "      <td>222</td>\n",
       "      <td>hale</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507422</th>\n",
       "      <td>2018840372</td>\n",
       "      <td>2018840372299900</td>\n",
       "      <td>2999</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-mischief-other</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>12/13/2018 6:15:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-13 08:15:00</td>\n",
       "      <td>-104.977538</td>\n",
       "      <td>39.748084</td>\n",
       "      <td>6</td>\n",
       "      <td>621</td>\n",
       "      <td>five-points</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507423</th>\n",
       "      <td>20186011951</td>\n",
       "      <td>20186011951230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/7/2018 9:20:00 PM</td>\n",
       "      <td>12/7/2018 9:25:00 PM</td>\n",
       "      <td>2018-12-07 23:16:00</td>\n",
       "      <td>-104.973654</td>\n",
       "      <td>39.768555</td>\n",
       "      <td>2</td>\n",
       "      <td>211</td>\n",
       "      <td>five-points</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507424</th>\n",
       "      <td>2018830009</td>\n",
       "      <td>2018830009544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/8/2018 6:19:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-08 18:41:00</td>\n",
       "      <td>-104.987389</td>\n",
       "      <td>39.756388</td>\n",
       "      <td>6</td>\n",
       "      <td>612</td>\n",
       "      <td>five-points</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507425</th>\n",
       "      <td>20186012075</td>\n",
       "      <td>20186012075230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/9/2018 8:00:00 PM</td>\n",
       "      <td>12/10/2018 8:00:00 AM</td>\n",
       "      <td>2018-12-12 08:54:00</td>\n",
       "      <td>-105.000744</td>\n",
       "      <td>39.763045</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>highland</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507426</th>\n",
       "      <td>2018852153</td>\n",
       "      <td>2018852153544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/18/2018 12:55:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-19 09:13:00</td>\n",
       "      <td>-104.882743</td>\n",
       "      <td>39.780022</td>\n",
       "      <td>5</td>\n",
       "      <td>511</td>\n",
       "      <td>stapleton</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507427</th>\n",
       "      <td>2018839386</td>\n",
       "      <td>2018839386299901</td>\n",
       "      <td>2999</td>\n",
       "      <td>1</td>\n",
       "      <td>criminal-mischief-mtr-veh</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>12/12/2018 5:00:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-12 18:44:00</td>\n",
       "      <td>-104.976127</td>\n",
       "      <td>39.757508</td>\n",
       "      <td>2</td>\n",
       "      <td>211</td>\n",
       "      <td>five-points</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507428</th>\n",
       "      <td>2018849302</td>\n",
       "      <td>2018849302549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/17/2018 8:19:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-17 08:49:00</td>\n",
       "      <td>-105.053218</td>\n",
       "      <td>39.694986</td>\n",
       "      <td>4</td>\n",
       "      <td>421</td>\n",
       "      <td>mar-lee</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507429</th>\n",
       "      <td>2018844859</td>\n",
       "      <td>2018844859240400</td>\n",
       "      <td>2404</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-of-motor-vehicle</td>\n",
       "      <td>auto-theft</td>\n",
       "      <td>12/14/2018 11:32:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-15 00:10:00</td>\n",
       "      <td>-105.000062</td>\n",
       "      <td>39.691596</td>\n",
       "      <td>4</td>\n",
       "      <td>422</td>\n",
       "      <td>ruby-hill</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507430</th>\n",
       "      <td>20186012154</td>\n",
       "      <td>20186012154230500</td>\n",
       "      <td>2305</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-items-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/13/2018 8:25:00 PM</td>\n",
       "      <td>12/14/2018 8:00:00 AM</td>\n",
       "      <td>2018-12-14 20:39:00</td>\n",
       "      <td>-105.038418</td>\n",
       "      <td>39.788952</td>\n",
       "      <td>1</td>\n",
       "      <td>111</td>\n",
       "      <td>regis</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507431</th>\n",
       "      <td>2018835201</td>\n",
       "      <td>2018835201549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/11/2018 3:20:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-11 04:01:00</td>\n",
       "      <td>-104.997204</td>\n",
       "      <td>39.756669</td>\n",
       "      <td>6</td>\n",
       "      <td>612</td>\n",
       "      <td>five-points</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507432</th>\n",
       "      <td>2018841426</td>\n",
       "      <td>2018841426544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/13/2018 3:17:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-13 16:45:00</td>\n",
       "      <td>-105.016530</td>\n",
       "      <td>39.751320</td>\n",
       "      <td>1</td>\n",
       "      <td>123</td>\n",
       "      <td>jefferson-park</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507433</th>\n",
       "      <td>2018852133</td>\n",
       "      <td>2018852133544400</td>\n",
       "      <td>5444</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-habitual-offender</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/18/2018 1:00:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-18 13:51:00</td>\n",
       "      <td>-104.835587</td>\n",
       "      <td>39.791057</td>\n",
       "      <td>5</td>\n",
       "      <td>521</td>\n",
       "      <td>montbello</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507434</th>\n",
       "      <td>2018851005</td>\n",
       "      <td>2018851005480300</td>\n",
       "      <td>4803</td>\n",
       "      <td>0</td>\n",
       "      <td>police-false-information</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/17/2018 10:45:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-18 00:23:00</td>\n",
       "      <td>-104.976824</td>\n",
       "      <td>39.790975</td>\n",
       "      <td>1</td>\n",
       "      <td>112</td>\n",
       "      <td>globeville</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507435</th>\n",
       "      <td>2018833650</td>\n",
       "      <td>2018833650239900</td>\n",
       "      <td>2399</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-other</td>\n",
       "      <td>larceny</td>\n",
       "      <td>12/8/2018 4:05:00 PM</td>\n",
       "      <td>12/8/2018 5:43:00 PM</td>\n",
       "      <td>2018-12-10 12:01:00</td>\n",
       "      <td>-104.921923</td>\n",
       "      <td>39.689072</td>\n",
       "      <td>3</td>\n",
       "      <td>322</td>\n",
       "      <td>virginia-village</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507436</th>\n",
       "      <td>2018833372</td>\n",
       "      <td>2018833372220200</td>\n",
       "      <td>2202</td>\n",
       "      <td>0</td>\n",
       "      <td>burglary-residence-by-force</td>\n",
       "      <td>burglary</td>\n",
       "      <td>12/8/2018 8:00:00 AM</td>\n",
       "      <td>12/10/2018 10:00:00 AM</td>\n",
       "      <td>2018-12-10 12:37:00</td>\n",
       "      <td>-105.045521</td>\n",
       "      <td>39.740021</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>west-colfax</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507437</th>\n",
       "      <td>2018831574</td>\n",
       "      <td>2018831574540100</td>\n",
       "      <td>5401</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident-hit-and-run</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/9/2018 12:32:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-09 12:32:00</td>\n",
       "      <td>-105.030179</td>\n",
       "      <td>39.740257</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>west-colfax</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507438</th>\n",
       "      <td>2018836985</td>\n",
       "      <td>2018836985549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/11/2018 6:06:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-11 18:22:00</td>\n",
       "      <td>-104.948043</td>\n",
       "      <td>39.739862</td>\n",
       "      <td>2</td>\n",
       "      <td>213</td>\n",
       "      <td>congress-park</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507439</th>\n",
       "      <td>20188058998</td>\n",
       "      <td>20188058998260201</td>\n",
       "      <td>2602</td>\n",
       "      <td>1</td>\n",
       "      <td>theft-fail-return-rent-veh</td>\n",
       "      <td>white-collar-crime</td>\n",
       "      <td>11/19/2018 4:00:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-14 15:56:00</td>\n",
       "      <td>-104.697230</td>\n",
       "      <td>39.836210</td>\n",
       "      <td>7</td>\n",
       "      <td>759</td>\n",
       "      <td>dia</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507440</th>\n",
       "      <td>2018848306</td>\n",
       "      <td>2018848306544100</td>\n",
       "      <td>5441</td>\n",
       "      <td>0</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>traffic-accident</td>\n",
       "      <td>12/16/2018 5:37:00 PM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-16 18:43:00</td>\n",
       "      <td>-104.940655</td>\n",
       "      <td>39.687491</td>\n",
       "      <td>3</td>\n",
       "      <td>312</td>\n",
       "      <td>cory-merrill</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507441</th>\n",
       "      <td>2018831000</td>\n",
       "      <td>2018831000549900</td>\n",
       "      <td>5499</td>\n",
       "      <td>0</td>\n",
       "      <td>traf-other</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>12/9/2018 5:21:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-12-09 06:15:00</td>\n",
       "      <td>-105.029758</td>\n",
       "      <td>39.738855</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>west-colfax</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507442</th>\n",
       "      <td>20186012081</td>\n",
       "      <td>20186012081230400</td>\n",
       "      <td>2304</td>\n",
       "      <td>0</td>\n",
       "      <td>theft-parts-from-vehicle</td>\n",
       "      <td>theft-from-motor-vehicle</td>\n",
       "      <td>12/12/2018 4:35:00 PM</td>\n",
       "      <td>12/12/2018 4:35:00 PM</td>\n",
       "      <td>2018-12-12 16:42:00</td>\n",
       "      <td>-104.937077</td>\n",
       "      <td>39.678211</td>\n",
       "      <td>3</td>\n",
       "      <td>314</td>\n",
       "      <td>university-hills</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>507443 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        INCIDENT_ID         OFFENSE_ID  OFFENSE_CODE  OFFENSE_CODE_EXTENSION  \\\n",
       "0        2016376978   2016376978521300          5213                       0   \n",
       "1       20186000994  20186000994239900          2399                       0   \n",
       "2       20166003953  20166003953230500          2305                       0   \n",
       "3         201872333    201872333239900          2399                       0   \n",
       "4        2017411405   2017411405230300          2303                       0   \n",
       "5         201872837    201872837549900          5499                       0   \n",
       "6       20186001015  20186001015230400          2304                       0   \n",
       "7         201870628    201870628570700          5707                       0   \n",
       "8         201870833    201870833540100          5401                       0   \n",
       "9       20186001048  20186001048230500          2305                       0   \n",
       "10        201872390    201872390357200          3572                       0   \n",
       "11      20186001033  20186001033230400          2304                       0   \n",
       "12       2016340553   2016340553230300          2303                       0   \n",
       "13       2017383968   2017383968240400          2404                       0   \n",
       "14       2016236602   2016236602230300          2303                       0   \n",
       "15      20176004695  20176004695230500          2305                       0   \n",
       "16       2017395809   2017395809240400          2404                       0   \n",
       "17        201869174    201869174570700          5707                       0   \n",
       "18        201869047    201869047260900          2609                       0   \n",
       "19        201871381    201871381544100          5441                       0   \n",
       "20        201871171    201871171549900          5499                       0   \n",
       "21        201869050    201869050544100          5441                       0   \n",
       "22        201872028    201872028540100          5401                       0   \n",
       "23        201871362    201871362549900          5499                       0   \n",
       "24        201870800    201870800220300          2203                       0   \n",
       "25        201871768    201871768279900          2799                       0   \n",
       "26      20188004580  20188004580131600          1316                       0   \n",
       "27        201871234    201871234549900          5499                       0   \n",
       "28       2017294559   2017294559240400          2404                       0   \n",
       "29       2016398281   2016398281570700          5707                       0   \n",
       "...             ...                ...           ...                     ...   \n",
       "507413   2018857700   2018857700357200          3572                       0   \n",
       "507414   2018853002   2018853002549900          5499                       0   \n",
       "507415   2018831464   2018831464131502          1315                       2   \n",
       "507416  20186012306  20186012306230500          2305                       0   \n",
       "507417   2018848949   2018848949131300          1313                       0   \n",
       "507418   2018833780   2018833780540100          5401                       0   \n",
       "507419   2018828431   2018828431299902          2999                       2   \n",
       "507420   2018831730   2018831730544100          5441                       0   \n",
       "507421   2018850308   2018850308230500          2305                       0   \n",
       "507422   2018840372   2018840372299900          2999                       0   \n",
       "507423  20186011951  20186011951230500          2305                       0   \n",
       "507424   2018830009   2018830009544100          5441                       0   \n",
       "507425  20186012075  20186012075230500          2305                       0   \n",
       "507426   2018852153   2018852153544100          5441                       0   \n",
       "507427   2018839386   2018839386299901          2999                       1   \n",
       "507428   2018849302   2018849302549900          5499                       0   \n",
       "507429   2018844859   2018844859240400          2404                       0   \n",
       "507430  20186012154  20186012154230500          2305                       0   \n",
       "507431   2018835201   2018835201549900          5499                       0   \n",
       "507432   2018841426   2018841426544100          5441                       0   \n",
       "507433   2018852133   2018852133544400          5444                       0   \n",
       "507434   2018851005   2018851005480300          4803                       0   \n",
       "507435   2018833650   2018833650239900          2399                       0   \n",
       "507436   2018833372   2018833372220200          2202                       0   \n",
       "507437   2018831574   2018831574540100          5401                       0   \n",
       "507438   2018836985   2018836985549900          5499                       0   \n",
       "507439  20188058998  20188058998260201          2602                       1   \n",
       "507440   2018848306   2018848306544100          5441                       0   \n",
       "507441   2018831000   2018831000549900          5499                       0   \n",
       "507442  20186012081  20186012081230400          2304                       0   \n",
       "\n",
       "                     OFFENSE_TYPE_ID           OFFENSE_CATEGORY_ID  \\\n",
       "0       weapon-unlawful-discharge-of              all-other-crimes   \n",
       "1                        theft-other                       larceny   \n",
       "2           theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "3                        theft-other                       larceny   \n",
       "4                     theft-shoplift                       larceny   \n",
       "5                         traf-other              all-other-crimes   \n",
       "6           theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "7               criminal-trespassing              all-other-crimes   \n",
       "8       traffic-accident-hit-and-run              traffic-accident   \n",
       "9           theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "10       drug-methampetamine-possess                  drug-alcohol   \n",
       "11          theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "12                    theft-shoplift                       larceny   \n",
       "13            theft-of-motor-vehicle                    auto-theft   \n",
       "14                    theft-shoplift                       larceny   \n",
       "15          theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "16            theft-of-motor-vehicle                    auto-theft   \n",
       "17              criminal-trespassing              all-other-crimes   \n",
       "18          fraud-by-use-of-computer            white-collar-crime   \n",
       "19                  traffic-accident              traffic-accident   \n",
       "20                        traf-other              all-other-crimes   \n",
       "21                  traffic-accident              traffic-accident   \n",
       "22      traffic-accident-hit-and-run              traffic-accident   \n",
       "23                        traf-other              all-other-crimes   \n",
       "24        burglary-business-by-force                      burglary   \n",
       "25                    theft-embezzle            white-collar-crime   \n",
       "26                 threats-to-injure               public-disorder   \n",
       "27                        traf-other              all-other-crimes   \n",
       "28            theft-of-motor-vehicle                    auto-theft   \n",
       "29              criminal-trespassing              all-other-crimes   \n",
       "...                              ...                           ...   \n",
       "507413   drug-methampetamine-possess                  drug-alcohol   \n",
       "507414                    traf-other              all-other-crimes   \n",
       "507415        menacing-felony-w-weap            aggravated-assault   \n",
       "507416      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507417                assault-simple  other-crimes-against-persons   \n",
       "507418  traffic-accident-hit-and-run              traffic-accident   \n",
       "507419    criminal-mischief-graffiti               public-disorder   \n",
       "507420              traffic-accident              traffic-accident   \n",
       "507421      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507422       criminal-mischief-other               public-disorder   \n",
       "507423      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507424              traffic-accident              traffic-accident   \n",
       "507425      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507426              traffic-accident              traffic-accident   \n",
       "507427     criminal-mischief-mtr-veh               public-disorder   \n",
       "507428                    traf-other              all-other-crimes   \n",
       "507429        theft-of-motor-vehicle                    auto-theft   \n",
       "507430      theft-items-from-vehicle      theft-from-motor-vehicle   \n",
       "507431                    traf-other              all-other-crimes   \n",
       "507432              traffic-accident              traffic-accident   \n",
       "507433        traf-habitual-offender              all-other-crimes   \n",
       "507434      police-false-information              all-other-crimes   \n",
       "507435                   theft-other                       larceny   \n",
       "507436   burglary-residence-by-force                      burglary   \n",
       "507437  traffic-accident-hit-and-run              traffic-accident   \n",
       "507438                    traf-other              all-other-crimes   \n",
       "507439    theft-fail-return-rent-veh            white-collar-crime   \n",
       "507440              traffic-accident              traffic-accident   \n",
       "507441                    traf-other              all-other-crimes   \n",
       "507442      theft-parts-from-vehicle      theft-from-motor-vehicle   \n",
       "\n",
       "         FIRST_OCCURRENCE_DATE    LAST_OCCURRENCE_DATE       REPORTED_DATE  \\\n",
       "0        6/15/2016 11:31:00 PM                     NaN 2016-06-15 23:31:00   \n",
       "1       10/11/2017 12:30:00 PM   10/11/2017 4:55:00 PM 2018-01-29 17:53:00   \n",
       "2          3/4/2016 8:00:00 PM    4/25/2016 8:00:00 AM 2016-04-26 21:02:00   \n",
       "3         1/30/2018 7:20:00 PM                     NaN 2018-01-30 22:29:00   \n",
       "4         6/22/2017 8:53:00 PM                     NaN 2017-06-23 16:09:00   \n",
       "5        1/31/2018 12:44:00 AM                     NaN 2018-01-31 01:29:00   \n",
       "6         6/1/2017 12:15:00 PM   1/26/2018 12:15:00 PM 2018-01-26 12:24:00   \n",
       "7         1/30/2018 7:40:00 AM                     NaN 2018-01-30 10:33:00   \n",
       "8         1/30/2018 9:10:00 AM                     NaN 2018-01-30 09:17:00   \n",
       "9        1/31/2018 12:55:00 AM    1/31/2018 6:55:00 AM 2018-01-31 07:07:00   \n",
       "10        1/30/2018 8:04:00 PM                     NaN 2018-01-30 22:12:00   \n",
       "11        1/28/2018 5:25:00 AM    1/30/2018 5:25:00 PM 2018-01-30 17:42:00   \n",
       "12        5/31/2016 4:54:00 PM                     NaN 2016-05-31 18:30:00   \n",
       "13        2/24/2017 4:55:00 PM    5/24/2017 8:01:00 AM 2017-06-12 15:24:00   \n",
       "14        4/16/2016 3:25:00 PM                     NaN 2016-04-16 16:06:00   \n",
       "15        5/28/2017 2:00:00 AM    5/28/2017 7:00:00 AM 2017-05-28 19:58:00   \n",
       "16        6/16/2017 9:30:00 PM    6/17/2017 7:12:00 AM 2017-06-17 07:12:00   \n",
       "17        1/29/2018 2:50:00 PM                     NaN 2018-01-29 14:50:00   \n",
       "18        1/4/2018 12:00:00 PM    1/28/2018 6:00:00 PM 2018-01-29 14:15:00   \n",
       "19       1/30/2018 12:38:00 PM                     NaN 2018-01-30 12:38:00   \n",
       "20       1/30/2018 11:27:00 AM                     NaN 2018-01-30 12:00:00   \n",
       "21        1/29/2018 2:16:00 PM                     NaN 2018-01-29 15:00:00   \n",
       "22        1/30/2018 3:45:00 PM                     NaN 2018-01-30 17:13:00   \n",
       "23       1/30/2018 12:30:00 PM                     NaN 2018-01-30 13:09:00   \n",
       "24        1/29/2018 9:30:00 PM    1/30/2018 8:30:00 AM 2018-01-30 08:57:00   \n",
       "25      10/30/2017 12:00:00 PM  12/21/2017 12:00:00 PM 2018-01-30 15:19:00   \n",
       "26        1/30/2018 2:30:00 PM                     NaN 2018-01-30 15:50:00   \n",
       "27       1/30/2018 11:50:00 AM                     NaN 2018-01-30 12:51:00   \n",
       "28        5/6/2017 12:00:00 AM     5/6/2017 8:30:00 AM 2017-05-06 09:48:00   \n",
       "29        6/12/2016 8:00:00 PM    6/14/2016 8:00:00 PM 2016-06-24 20:08:00   \n",
       "...                        ...                     ...                 ...   \n",
       "507413  12/20/2018 10:24:00 PM                     NaN 2018-12-20 23:48:00   \n",
       "507414   12/18/2018 7:36:00 PM                     NaN 2018-12-18 19:36:00   \n",
       "507415   12/9/2018 11:40:00 AM                     NaN 2018-12-09 11:58:00   \n",
       "507416   12/19/2018 6:45:00 AM   12/19/2018 7:15:00 AM 2018-12-19 13:37:00   \n",
       "507417   12/17/2018 2:15:00 AM                     NaN 2018-12-17 03:18:00   \n",
       "507418  12/10/2018 12:50:00 PM                     NaN 2018-12-10 12:54:00   \n",
       "507419   12/8/2018 12:00:00 AM   12/8/2018 12:29:00 AM 2018-12-08 00:29:00   \n",
       "507420    12/9/2018 2:20:00 PM                     NaN 2018-12-09 15:16:00   \n",
       "507421    12/7/2018 4:30:00 PM    12/8/2018 8:15:00 AM 2018-12-17 16:01:00   \n",
       "507422   12/13/2018 6:15:00 AM                     NaN 2018-12-13 08:15:00   \n",
       "507423    12/7/2018 9:20:00 PM    12/7/2018 9:25:00 PM 2018-12-07 23:16:00   \n",
       "507424    12/8/2018 6:19:00 PM                     NaN 2018-12-08 18:41:00   \n",
       "507425    12/9/2018 8:00:00 PM   12/10/2018 8:00:00 AM 2018-12-12 08:54:00   \n",
       "507426  12/18/2018 12:55:00 PM                     NaN 2018-12-19 09:13:00   \n",
       "507427   12/12/2018 5:00:00 PM                     NaN 2018-12-12 18:44:00   \n",
       "507428   12/17/2018 8:19:00 AM                     NaN 2018-12-17 08:49:00   \n",
       "507429  12/14/2018 11:32:00 PM                     NaN 2018-12-15 00:10:00   \n",
       "507430   12/13/2018 8:25:00 PM   12/14/2018 8:00:00 AM 2018-12-14 20:39:00   \n",
       "507431   12/11/2018 3:20:00 AM                     NaN 2018-12-11 04:01:00   \n",
       "507432   12/13/2018 3:17:00 PM                     NaN 2018-12-13 16:45:00   \n",
       "507433   12/18/2018 1:00:00 PM                     NaN 2018-12-18 13:51:00   \n",
       "507434  12/17/2018 10:45:00 PM                     NaN 2018-12-18 00:23:00   \n",
       "507435    12/8/2018 4:05:00 PM    12/8/2018 5:43:00 PM 2018-12-10 12:01:00   \n",
       "507436    12/8/2018 8:00:00 AM  12/10/2018 10:00:00 AM 2018-12-10 12:37:00   \n",
       "507437   12/9/2018 12:32:00 PM                     NaN 2018-12-09 12:32:00   \n",
       "507438   12/11/2018 6:06:00 PM                     NaN 2018-12-11 18:22:00   \n",
       "507439   11/19/2018 4:00:00 PM                     NaN 2018-12-14 15:56:00   \n",
       "507440   12/16/2018 5:37:00 PM                     NaN 2018-12-16 18:43:00   \n",
       "507441    12/9/2018 5:21:00 AM                     NaN 2018-12-09 06:15:00   \n",
       "507442   12/12/2018 4:35:00 PM   12/12/2018 4:35:00 PM 2018-12-12 16:42:00   \n",
       "\n",
       "           GEO_LON    GEO_LAT  DISTRICT_ID  PRECINCT_ID  \\\n",
       "0      -104.809881  39.773188            5          521   \n",
       "1      -104.781434  39.785649            5          522   \n",
       "2      -104.957381  39.663490            3          314   \n",
       "3      -104.941440  39.702698            3          312   \n",
       "4      -104.955370  39.717107            3          311   \n",
       "5      -104.961928  39.743149            6          622   \n",
       "6      -105.025543  39.732790            1          122   \n",
       "7      -104.983794  39.723424            3          311   \n",
       "8      -104.991650  39.736863            6          611   \n",
       "9      -105.015451  39.757627            1          113   \n",
       "10     -104.925197  39.678463            3          323   \n",
       "11     -104.997720  39.694578            4          422   \n",
       "12     -104.942153  39.689021            3          312   \n",
       "13     -105.023330  39.754477            1          121   \n",
       "14     -104.902812  39.699214            3          321   \n",
       "15     -105.014275  39.764565            1          113   \n",
       "16     -104.910573  39.675105            3          323   \n",
       "17     -104.998855  39.740117            1          123   \n",
       "18     -104.980747  39.701835            3          312   \n",
       "19     -104.865745  39.775833            5          511   \n",
       "20     -104.847720  39.772489            5          512   \n",
       "21     -104.883909  39.723506            3          321   \n",
       "22     -104.975646  39.756668            2          211   \n",
       "23     -104.949562  39.783741            2          212   \n",
       "24     -104.919983  39.675747            3          323   \n",
       "25     -104.901787  39.652260            3          324   \n",
       "26     -104.673694  39.858704            7          759   \n",
       "27     -104.987353  39.687462            3          313   \n",
       "28     -105.032978  39.737471            1          122   \n",
       "29     -104.883245  39.789301            5          511   \n",
       "...            ...        ...          ...          ...   \n",
       "507413 -105.025084  39.713388            4          411   \n",
       "507414 -104.812335  39.774789            5          521   \n",
       "507415 -104.927938  39.768986            2          221   \n",
       "507416 -104.873771  39.669973            3          323   \n",
       "507417 -104.989583  39.743377            6          611   \n",
       "507418 -105.006535  39.753952            6          612   \n",
       "507419 -104.938790  39.730965            2          222   \n",
       "507420 -105.016793  39.751285            1          123   \n",
       "507421 -104.929835  39.725922            2          222   \n",
       "507422 -104.977538  39.748084            6          621   \n",
       "507423 -104.973654  39.768555            2          211   \n",
       "507424 -104.987389  39.756388            6          612   \n",
       "507425 -105.000744  39.763045            1          113   \n",
       "507426 -104.882743  39.780022            5          511   \n",
       "507427 -104.976127  39.757508            2          211   \n",
       "507428 -105.053218  39.694986            4          421   \n",
       "507429 -105.000062  39.691596            4          422   \n",
       "507430 -105.038418  39.788952            1          111   \n",
       "507431 -104.997204  39.756669            6          612   \n",
       "507432 -105.016530  39.751320            1          123   \n",
       "507433 -104.835587  39.791057            5          521   \n",
       "507434 -104.976824  39.790975            1          112   \n",
       "507435 -104.921923  39.689072            3          322   \n",
       "507436 -105.045521  39.740021            1          122   \n",
       "507437 -105.030179  39.740257            1          122   \n",
       "507438 -104.948043  39.739862            2          213   \n",
       "507439 -104.697230  39.836210            7          759   \n",
       "507440 -104.940655  39.687491            3          312   \n",
       "507441 -105.029758  39.738855            1          122   \n",
       "507442 -104.937077  39.678211            3          314   \n",
       "\n",
       "                   NEIGHBORHOOD_ID  IS_CRIME  YEAR  MONTH  DAY  HOUR  \n",
       "0                        montbello         1  2016      6   15    23  \n",
       "1       gateway-green-valley-ranch         1  2018      1   29    17  \n",
       "2                        wellshire         1  2016      4   26    21  \n",
       "3                          belcaro         1  2018      1   30    22  \n",
       "4                     cherry-creek         1  2017      6   23    16  \n",
       "5                   city-park-west         1  2018      1   31     1  \n",
       "6                       villa-park         1  2018      1   26    12  \n",
       "7                            speer         1  2018      1   30    10  \n",
       "8                     civic-center         0  2018      1   30     9  \n",
       "9                         highland         1  2018      1   31     7  \n",
       "10                       goldsmith         1  2018      1   30    22  \n",
       "11                       ruby-hill         1  2018      1   30    17  \n",
       "12                    cory-merrill         1  2016      5   31    18  \n",
       "13                  jefferson-park         1  2017      6   12    15  \n",
       "14                         windsor         1  2016      4   16    16  \n",
       "15                        highland         1  2017      5   28    19  \n",
       "16                       goldsmith         1  2017      6   17     7  \n",
       "17                    lincoln-park         1  2018      1   29    14  \n",
       "18            washington-park-west         1  2018      1   29    14  \n",
       "19                       stapleton         0  2018      1   30    12  \n",
       "20                       stapleton         1  2018      1   30    12  \n",
       "21                     lowry-field         0  2018      1   29    15  \n",
       "22                     five-points         0  2018      1   30    17  \n",
       "23                  elyria-swansea         1  2018      1   30    13  \n",
       "24                       goldsmith         1  2018      1   30     8  \n",
       "25                   hampden-south         1  2018      1   30    15  \n",
       "26                             dia         1  2018      1   30    15  \n",
       "27                      platt-park         1  2018      1   30    12  \n",
       "28                     west-colfax         1  2017      5    6     9  \n",
       "29                       stapleton         1  2016      6   24    20  \n",
       "...                            ...       ...   ...    ...  ...   ...  \n",
       "507413                      barnum         1  2018     12   20    23  \n",
       "507414                   montbello         1  2018     12   18    19  \n",
       "507415         northeast-park-hill         1  2018     12    9    11  \n",
       "507416                     hampden         1  2018     12   19    13  \n",
       "507417                         cbd         1  2018     12   17     3  \n",
       "507418               union-station         0  2018     12   10    12  \n",
       "507419                        hale         1  2018     12    8     0  \n",
       "507420              jefferson-park         0  2018     12    9    15  \n",
       "507421                        hale         1  2018     12   17    16  \n",
       "507422                 five-points         1  2018     12   13     8  \n",
       "507423                 five-points         1  2018     12    7    23  \n",
       "507424                 five-points         0  2018     12    8    18  \n",
       "507425                    highland         1  2018     12   12     8  \n",
       "507426                   stapleton         0  2018     12   19     9  \n",
       "507427                 five-points         1  2018     12   12    18  \n",
       "507428                     mar-lee         1  2018     12   17     8  \n",
       "507429                   ruby-hill         1  2018     12   15     0  \n",
       "507430                       regis         1  2018     12   14    20  \n",
       "507431                 five-points         1  2018     12   11     4  \n",
       "507432              jefferson-park         0  2018     12   13    16  \n",
       "507433                   montbello         1  2018     12   18    13  \n",
       "507434                  globeville         1  2018     12   18     0  \n",
       "507435            virginia-village         1  2018     12   10    12  \n",
       "507436                 west-colfax         1  2018     12   10    12  \n",
       "507437                 west-colfax         0  2018     12    9    12  \n",
       "507438               congress-park         1  2018     12   11    18  \n",
       "507439                         dia         1  2018     12   14    15  \n",
       "507440                cory-merrill         0  2018     12   16    18  \n",
       "507441                 west-colfax         1  2018     12    9     6  \n",
       "507442            university-hills         1  2018     12   12    16  \n",
       "\n",
       "[507443 rows x 19 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crime')"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1[\"YEAR\"].value_counts().plot(kind='bar',color='purple')\n",
    "plt.title(\"Crimes each year\")\n",
    "plt.xlabel(\"year\")\n",
    "plt.ylabel(\"crime\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crimes')"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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59Zck6TFTDZXN6MJk35EyLymWJD3OVD9R/9ahOyJJmv1WGSpJ/qKqPpLkE7SbSY6qqncM1jNJ0qyzupHKNe116dAdkSTNfqsMlao6K8kc4AVVdfg09UmSNEut9hP1VfUI8NJp6IskaZab6tVflyY5E/gicO9YoZcUS5JGTTVUngrcAbxipMxLiiVJjzPVUNmI7sFcdwEk2Qb42GC9kiTNSlO9S/ELxwIFoKruBF48TJckSbPVVENlozY6ASDJU5n6KEeStIGYajB8DPhOktPp5lJeD3xosF5Jkmalqd6m5eQkS+km6gO8tqquHrRnkqRZZ6qnv6iqq6vq76rqE1MJlCQ7JvmXJNckuSrJO1v5U5MsSXJ9e92mlSfJsUmWJbk8yUtG9rW41b8+yeKR8pcmuaJtc2ySPLHDlyT1acqhsgYeBv6sqp4P7Akc1h5JfARwflUtAM5v7wH2Axa0r0OB4+Cx+ZsjgT2A3YEjR+Z3jmt1x7ZbNODxSJJWY7BQqapbquoHbfmndPcRmw/sT/d4YtrrAW15f+Dk6nwXmJvkGcCrgCVVtbJddbYEWNTWbVVVF1VVASeP7EuSNAOGHKk8JsnOdJcgfw/YrqpugS54gKe3avOBm0Y2W97KVlW+fILyido/NMnSJEtXrFixtocjSZrE4KGSZAvgn4F3VdU9q6o6QVmtQfkvFlYdX1ULq2rhvHnzVtdlSdIaGjRUkmxCFyinjNwn7NZ26or2elsrXw7sOLL5DsDNqynfYYJySdIMGSxU2pVYJwDXVNXHR1adCYxdwbUYOGOk/OB2FdiewN3t9Ni5wL5JtmkT9PsC57Z1P02yZ2vr4JF9SZJmwJCfit8LeDNwRZLLWtl7gKOA05IcAtwIHNjWnQ28GlgG3Ae8FaCqVib5AHBJq/f+qlrZlv8E+EdgM+Cc9iVJmiGDhUpVfYuJ5z0A9pmgfgGHTbKvE4ETJyhfCrxgLbopSerRtFz9JUnaMBgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3hgqkqTeGCqSpN4YKpKk3gwWKklOTHJbkitHyp6aZEmS69vrNq08SY5NsizJ5UleMrLN4lb/+iSLR8pfmuSKts2xSTLUsUiSpmbIkco/AovGlR0BnF9VC4Dz23uA/YAF7etQ4DjoQgg4EtgD2B04ciyIWp1DR7Yb35YkaZoNFipV9a/AynHF+wMnteWTgANGyk+uzneBuUmeAbwKWFJVK6vqTmAJsKit26qqLqqqAk4e2ZckaYZM95zKdlV1C0B7fXornw/cNFJveStbVfnyCcolSTNoXZmon2g+pNagfOKdJ4cmWZpk6YoVK9awi5Kk1ZnuULm1nbqivd7WypcDO47U2wG4eTXlO0xQPqGqOr6qFlbVwnnz5q31QUiSJjbdoXImMHYF12LgjJHyg9tVYHsCd7fTY+cC+ybZpk3Q7wuc29b9NMme7aqvg0f2JUmaIRsPteMkXwD2BrZNspzuKq6jgNOSHALcCBzYqp8NvBpYBtwHvBWgqlYm+QBwSav3/qoam/z/E7orzDYDzmlfkqQZNFioVNUbJ1m1zwR1Czhskv2cCJw4QflS4AVr00dJUr/WlYl6SdJ6wFCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPXGUJEk9cZQkST1xlCRJPVm1odKkkVJrkuyLMkRM90fSdqQzepQSTIH+CSwH7AL8MYku8xsryRpwzWrQwXYHVhWVTdU1YPAqcD+M9wnSdpgpapmug9rLMnrgEVV9Yft/ZuBParq7ePqHQoc2t7+V+C6NWhuW+D2tejuutqW7dme7W047a1pW8+sqnlTqbjxGux8XZIJyn4hJavqeOD4tWooWVpVC9dmH+tiW7Zne7a34bQ3HW3N9tNfy4EdR97vANw8Q32RpA3ebA+VS4AFSZ6VZFPgIODMGe6TJG2wZvXpr6p6OMnbgXOBOcCJVXXVQM2t1emzdbgt27M929tw2hu8rVk9US9JWrfM9tNfkqR1iKEiSeqNoSJJ6o2hMk6SdyTZcfU1e2tv0yQHJ3lle/+mJH+X5LAkm0xD+y9L8qdJ9h1o/3sk2aotb5bkfUnOSnJ0kq2HaHOCPpw8He1MlyS7J/nltrxL+/m9eqb71Yckz07y50n+NsnHkvzxkL8nSZ6XZJ8kW4wrXzRUm+s7J+rHSXI3cC/w78AXgC9W1YoB2zuF7iq8zYG7gC2ALwH70P18Fvfc3sVVtXtb/u/AYcCXgX2Bs6rqqJ7buwp4UbtS73jgPuB0uuN7UVW9tuf2xl9SHuDXgQsAquo1fba3mr68tao+0/M+j6S7193GwBJgD+BC4JXAuVX1oT7bm05J3gH8NvBN4NXAZcCdwO8Ab6uqCwdo7zDgGmA34J1VdUZb94Oqekmf7W0wqsqvkS/gUroR3L7ACcAK4OvAYmDLAdq7vL1uDNwKzGnvM7au7+MbWb4EmNeWnwJcMUB714ws/2DcussGaO8HwOeAvYGXt9db2vLLp/l36cYB9nkF3eXzmwP3AFu18s0G+n3ZGjgKuBa4o31d08rmDnFsbXlz4MK2vNPo723P7W3RlncGltIFC0O0N4X+nDPAPrcCPgx8FnjTuHWfGuI4ZvXnVAZSVfUocB5wXjsFtR/wRuCjwJTuf/MEbNQ+uPkUun9IWwMrgScBQ5z+2ijJNnTBmWqjsKq6N8nDA7R35chf7P+WZGFVLU3yXOChAdpbCLwT+Evg8Kq6LMnPq+qbA7RFkssnWwVsN0CTD1fVI8B9Sf69qu4BqKqfJ3l0gPZOoxvl7V1VPwFI8kt0f2R9EfiNntvbGHiE7vd/S4CqunGgU8FzqupnrY3/SLI3cHqSZzLxLaDWWpLJRj+hGy317TPA9cA/A3+Q5HfpwuUBYM8B2jNUJvC4X6aqeojuU/pnJtlsgPZOoPsrcA7df4RfTHID3Q/81AHa2xr4Pt1xVpJfqqqftHPKQ/xD+kPgb5P8Fd2N7C5KchNwU1vXq/YHwTFJvtheb2XY3/PtgFfRnaYZFeA7A7T3YJLNq+o+4KWPNdbNOwwRKjtX1dGjBS1cjk7yBz239WngkiTfBX4NOBogyTy6P7T69pMku1XVZQBV9bMkvwWcCPy3AdqD7uzAN5n439rcAdp7dlX9blv+SpK/BC5IMthpYOdUxkny3Kr6f9Pc5vYAVXVzkrl058dvrKqLp7EPmwPbVdUPB9r/lsB/ofsPfnlV3TpEOxO0+5vAXlX1noH2fwLwmar61gTrPl9Vb+q5vSe1vzLHl28LPKOqrui5vfOAbwAnjf3MkmwHvAX4jap6Zc/t7Qo8H7iyqq7tc98TtLUD3cjvJxOs26uqvj1Am1cCv1NV10+w7qaq6vUioSTXALu2P7bGyhYDf0F36u+ZfbYHhoqkVWinSo+ge07R01vxrXSj96OqavwITavQHtdxRVX9wuM3khxQVV/pub2PAOdV1TfGlS8CPlFVC/psDwwVSWtoiKvbNmTT/f0cqj1DRdIaSXJjVe000/1YX0z393Oo9pyolzSpGbi6bb023d/Pmfj5GSqSVmW6r25b303393Paf36GiqRV+SrdVUKXjV+R5MLp786sN93fz2n/+TmnIknqjTeUlCT1xlCRJPXGUJHWQUnmJnnbyPu9k3x1JvskTYWhIq2b5gJvW20taR1jqEhrKcnOSa5N8ukkVyY5Jckrk3w7yfXtoVpPTfKVJJcn+W6SF7Zt35vkxCQXJrmhPeMDulvLPzvJZUn+dyvbIsnpra1TkqTt46gkV7d9f3QGvgXSY7ykWOrHc4ADgUPp7kT7JuBlwGuA99DdlfnSqjogySuAk/nPW50/j+5BYlsC1yU5ju5+Wy+oqt2gO/0FvBjYFbgZ+DawV5Kr6R5i9byqqnZDUmnGOFKR+vHDqrqi3Q32KuD86q7Xv4LuAVAvo3tQElV1AfC0kcfkfq2qHqiq24HbmPyTzhdX1fLWxmVtv/cA9wOfTvJauidrSjPGUJH6MXo7+kdH3j9Kd0ZgoudnjH1IbHTbR5j8DMIv1Kuqh4Hd6R7CdADdU0qlGWOoSNPjX4Hfg8dOZd0+9tTGSfyU9uTDVWkPV9u6qs4G3sUwTw+Upsw5FWl6vBf4TLvB3310j+OdVFXd0Sb6rwTOAb42SdUtgTOSPJluNPQ/+uuy9MR5mxZJUm88/SVJ6o2hIknqjaEiSeqNoSJJ6o2hIknqjaEiSeqNoSJJ6o2hIknqzf8H7EGensBXYcYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1[\"MONTH\"].value_counts().plot(kind='bar',color='purple')\n",
    "plt.title(\"Crimes each month\")\n",
    "plt.xlabel(\"months\")\n",
    "plt.ylabel(\"crimes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crimes')"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1[\"DAY\"].value_counts().plot(kind='bar',color='purple')\n",
    "plt.title(\"Crimes each day\")\n",
    "plt.xlabel(\"days\")\n",
    "plt.ylabel(\"crimes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crimes')"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1[\"HOUR\"].value_counts().plot(kind='bar',color='purple')\n",
    "plt.title(\"Crimes each hour\")\n",
    "plt.xlabel(\"hour\")\n",
    "plt.ylabel(\"crimes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crime')"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data1['DISTRICT_ID'].value_counts().plot(kind='bar',color='red')\n",
    "plt.title(\"Crimes in seperate districts\")\n",
    "plt.xlabel('district')\n",
    "plt.ylabel('crime')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'crime')"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['PRECINCT_ID'].value_counts().plot(kind='bar',color='green')\n",
    "plt.title(\"Crime in different precinct\")\n",
    "plt.xlabel(\"precinct\")\n",
    "plt.ylabel(\"crime\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "dv=data1.groupby('DISTRICT_ID')['PRECINCT_ID'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DISTRICT_ID\n",
       "1     89328\n",
       "2     74393\n",
       "3    112346\n",
       "4     71807\n",
       "5     51714\n",
       "Name: PRECINCT_ID, dtype: int64"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21e385c9710>"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DHiU5Bzijqt7U1t8AnFRVvz1l3BpgTVv9GeBLc9jWkcA/zOH8c20h97+Qewf7Hzf737ufrKolMw2a7++emgSOGVpfBjw0dVBVXQFc8Ww0lGSiqlY+G581FxZy/wu5d7D/cbP//WO+n566FViR5NgkBwPnAhvH3JMkHbDm9ZFGVe1K8hZgM7AIWF9VW8fcliQdsOZ1aABU1SZg07j7GPKsnAabQwu5/4XcO9j/uNn/fjCvL4RLkuaX+X5NQ5I0jxgakqRuhobmrSQnJfmFtnxckt9J8tpx9zVbSa4edw/SqOb9hXDNXpKXMniC/paq+uZQfVVVfWJ8nc0syToG7xxbnGQLcDLwaWBtkldW1cXj7G8mSabeGh7gl5IcDlBVv/LsdzV7Sf4Vg9f6fLGqPjnufmaS5GRgW1V9PckhwFrgBOBu4L9U1RNjbXAGSd4K/FVVPTjj4GeZF8JnKckbq+qD4+5jT9ofuguBbcArgIuq6vq27faqOmGc/c0kyV0M+n4+8AiwbOgXwC1V9XNjbXAGSW5n8AvqA0AxCI2PMHjWiKr62/F1N7Mkn6uqk9rybzL4s/RXwOnA/6qqS8bZ30ySbAV+vt22fwXwJHAdcFqr/5uxNjiDJE8A3wK+wuDPzceqasd4uxrw9NTs/dG4G5jBbwInVtXZwGuA/5zkorYtY+uq366qerqqngS+UlVfB6iqbwPfG29rXVYCtwHvAJ6oqk8D366qv53vgdE8b2h5DfDLVfVHDELj18fT0j45qKp2teWVVfW2qvpM+xlePM7GOt3H4A0Y7wJOBO5O8okkq5P8s3E25umpvUjyhT1tAo5+NnuZhUW7T0lV1VeTvAa4LslPsjBC46kkh7bQOHF3MclhLIDQqKrvAZcm+Vj7/igL6/+3g5IcweAvltn9t9yq+laSXXvfdV744tDZgM8nWVlVE0l+GvjuuJvrUO3P0CeBTyZ5HoPTtecB7wFmfEfUXFlIf4jH4WjgDODxKfUAf//st7NPHknyiqq6E6Cqvpnk9cB64OXjba3Lq6vqO/D9X8C7PQ9YPZ6W9l1VTQLnJHkd8PVx97MPDmNwpBSgkvzzqnokyY+xMP7S8SbgvUn+gMFL/m5O8iCDt2a/aayd9fmh/8ZV9V0Gr1Da2E7Rjo3XNPYiyZXAB6vqM9Ns+3BV/bsxtNUlyTIGp3gemWbbq6rq78bQlha4JIcCR1fV/ePupUc7lfNiBn9BnqyqR8fcUpckP11VXx53H9MxNCRJ3bwQLknqZmhIkroZGjogJXk6yZ1Jtib5fHva/KC27TVJbmjLRye5oY25O8mmJC9v+96ZZGeS+9vy3yRZnuTbbf3uJFe3O19+aN62fmaSiSTbktyT5D1J3jE099NDy2/dw8/xh0n+Q1u+qvXy+SRfbp/tP4+s/cq7p3Sg+nZVvQIgyVHAhxncMbRuyrh3Aluq6r1t7M9V1e4HD0lyFXBDVV3X1pczeK7kFUkWAVuAXwM+NDxpkuOBPwVeV1X3JFkMrKmq9wMXtzHf3N3jPviPVXVdkgBvA25KcnxVPbWP80jT8khDB7yqeozBA2xvab9sh72IwT87vHvsnp7dmW7ep4HPMXiVy1S/B1xcVfe0sbtaYOwXNXApg6fpz9xf80qGhgRU1X0M/n84asqmy4Ark9zUTh39RO+cSX6EwTuzpnvP1/EMnoOYa7cDL30WPkcHCEND+oFnPLRWVZsZ3Of/5wx++d6RZKancX8qyZ3APwIP7MvRyRxYCA/iaQExNCQgyYuBp4HHpm6rqp1V9eGqegNwK/DqGab7SrsW8RLglCTTvdF2K0OvR5lDr2Tw0kppvzA0dMBrRw5/BvxpTXnaNcmp7Sno3U8X/xTwQM+8VfUwg1dyv32azX8C/H57FxJJDkryO7P/KX5YBt7K4JrMvH4NvhYWQ0MHqkN233IL/A2DF8NN9+biE4GJ9vLKm4EPVNWt+/A5/xM4NMkvDhfbKau3AR9Jsg34IoNf8KP6kySfB74M/ALwS945pf3J14hIkrp5pCFJ6ubDfdICkOQdwDlTyh+b7//srZ57PD0lSerm6SlJUjdDQ5LUzdCQJHUzNCRJ3QwNSVK3/w98ehSCvFk4QgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dv.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "offense=pd.read_csv('offense_codes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "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>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <th>OFFENSE_TYPE_ID</th>\n",
       "      <th>OFFENSE_TYPE_NAME</th>\n",
       "      <th>OFFENSE_CATEGORY_ID</th>\n",
       "      <th>OFFENSE_CATEGORY_NAME</th>\n",
       "      <th>IS_CRIME</th>\n",
       "      <th>IS_TRAFFIC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2804</td>\n",
       "      <td>1</td>\n",
       "      <td>stolen-property-possession</td>\n",
       "      <td>Possession of stolen property</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>All Other Crimes</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2804</td>\n",
       "      <td>2</td>\n",
       "      <td>fraud-possess-financial-device</td>\n",
       "      <td>Possession of a financial device</td>\n",
       "      <td>all-other-crimes</td>\n",
       "      <td>All Other Crimes</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2901</td>\n",
       "      <td>0</td>\n",
       "      <td>damaged-prop-bus</td>\n",
       "      <td>Damaged business property</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>Public Disorder</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2902</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-mischief-private</td>\n",
       "      <td>Criminal mischief to private property</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>Public Disorder</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2903</td>\n",
       "      <td>0</td>\n",
       "      <td>criminal-mischief-public</td>\n",
       "      <td>Criminal mischief to public property</td>\n",
       "      <td>public-disorder</td>\n",
       "      <td>Public Disorder</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OFFENSE_CODE  OFFENSE_CODE_EXTENSION                 OFFENSE_TYPE_ID  \\\n",
       "0          2804                       1      stolen-property-possession   \n",
       "1          2804                       2  fraud-possess-financial-device   \n",
       "2          2901                       0                damaged-prop-bus   \n",
       "3          2902                       0       criminal-mischief-private   \n",
       "4          2903                       0        criminal-mischief-public   \n",
       "\n",
       "                       OFFENSE_TYPE_NAME OFFENSE_CATEGORY_ID  \\\n",
       "0          Possession of stolen property    all-other-crimes   \n",
       "1       Possession of a financial device    all-other-crimes   \n",
       "2              Damaged business property     public-disorder   \n",
       "3  Criminal mischief to private property     public-disorder   \n",
       "4   Criminal mischief to public property     public-disorder   \n",
       "\n",
       "  OFFENSE_CATEGORY_NAME  IS_CRIME  IS_TRAFFIC  \n",
       "0      All Other Crimes         1           0  \n",
       "1      All Other Crimes         1           0  \n",
       "2       Public Disorder         1           0  \n",
       "3       Public Disorder         1           0  \n",
       "4       Public Disorder         1           0  "
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "offense.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "offense1=offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "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>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <th>IS_CRIME</th>\n",
       "      <th>IS_TRAFFIC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.092544</td>\n",
       "      <td>-0.165622</td>\n",
       "      <td>0.192404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OFFENSE_CODE_EXTENSION</th>\n",
       "      <td>0.092544</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.080470</td>\n",
       "      <td>0.050998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_CRIME</th>\n",
       "      <td>-0.165622</td>\n",
       "      <td>-0.080470</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.863065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IS_TRAFFIC</th>\n",
       "      <td>0.192404</td>\n",
       "      <td>0.050998</td>\n",
       "      <td>-0.863065</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        OFFENSE_CODE  OFFENSE_CODE_EXTENSION  IS_CRIME  \\\n",
       "OFFENSE_CODE                1.000000                0.092544 -0.165622   \n",
       "OFFENSE_CODE_EXTENSION      0.092544                1.000000 -0.080470   \n",
       "IS_CRIME                   -0.165622               -0.080470  1.000000   \n",
       "IS_TRAFFIC                  0.192404                0.050998 -0.863065   \n",
       "\n",
       "                        IS_TRAFFIC  \n",
       "OFFENSE_CODE              0.192404  \n",
       "OFFENSE_CODE_EXTENSION    0.050998  \n",
       "IS_CRIME                 -0.863065  \n",
       "IS_TRAFFIC                1.000000  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "offense1.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "offense1.drop(columns={'IS_TRAFFIC'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "all-other-crimes                107\n",
       "drug-alcohol                     30\n",
       "white-collar-crime               29\n",
       "public-disorder                  27\n",
       "larceny                          15\n",
       "other-crimes-against-persons     14\n",
       "aggravated-assault               13\n",
       "sexual-assault                   13\n",
       "robbery                          13\n",
       "burglary                         11\n",
       "murder                            9\n",
       "traffic-accident                  6\n",
       "arson                             5\n",
       "auto-theft                        4\n",
       "theft-from-motor-vehicle          3\n",
       "Name: OFFENSE_CATEGORY_ID, dtype: int64"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "offense1['OFFENSE_CATEGORY_ID'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'crime types')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "offense1['OFFENSE_CATEGORY_ID'].value_counts().plot(kind='bar',color='blue')\n",
    "plt.xlabel('offense type')\n",
    "plt.ylabel('crime')\n",
    "plt.title('crime types')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "offense1.drop(columns={\"OFFENSE_CATEGORY_NAME\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}