Creating_the_dataframes_cleaning_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the dataframes and cleaning the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np  # useful for many scientific computing in Python\n",
    "import pandas as pd # primary data structure library\n",
    "\n",
    "import geopy # geopy is a Python 2 and 3 client for several popular geocoding web services\n",
    "from geopy.geocoders import Nominatim\n",
    "from geopy.extra.rate_limiter import RateLimiter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Paths to my Github were I uploaded the data from the official sources in https://www.seguridadbc.gob.mx/contenidos/estadisticas3.php "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "path19 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2019'\n",
    "path18 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2018'\n",
    "path17 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2017'\n",
    "path16 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2016'\n",
    "path15 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2015'\n",
    "path14 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_Tijuana_2014'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data read into a pandas dataframe!\n"
     ]
    }
   ],
   "source": [
    "df_can19 = pd.read_excel(path19, index_col=False)\n",
    "df_can18 = pd.read_excel(path18, index_col=False)\n",
    "df_can17 = pd.read_excel(path17, index_col=False)\n",
    "df_can16 = pd.read_excel(path16, index_col=False)\n",
    "df_can15 = pd.read_excel(path15, index_col=False)\n",
    "df_can14 = pd.read_excel(path14, index_col=False)\n",
    "\n",
    "print ('Data read into a pandas dataframe!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking the first rows of each dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                   31/12/18                     19:00   TIJUANA  \n",
       "1                   01/01/19                     02:00   TIJUANA  \n",
       "2                   01/01/19                     02:39   TIJUANA  \n",
       "3                   01/01/19                     02:00   TIJUANA  \n",
       "4                   31/12/18                     23:21   TIJUANA  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can19.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>LOS VALLES</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>31/12/17</td>\n",
       "      <td>18:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>EJIDO LAZARO CARDENAS</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>31/12/17</td>\n",
       "      <td>20:10</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>TOMAS AQUINO</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>01:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ALBA ROJA</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>31/12/17</td>\n",
       "      <td>23:34</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>EL LAUREL</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>01/01/18</td>\n",
       "      <td>01:10</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          DELITO       CLASIFICACION DEL DELITO  \\\n",
       "0  ROBO CON VIOLENCIA A COMERCIO  ROBO CON VIOLENCIA A COMERCIO   \n",
       "1         LESIONES INTENCIONALES               LESIONES DOLOSAS   \n",
       "2         LESIONES INTENCIONALES               LESIONES DOLOSAS   \n",
       "3  ROBO CON VIOLENCIA A COMERCIO  ROBO CON VIOLENCIA A COMERCIO   \n",
       "4         LESIONES INTENCIONALES               LESIONES DOLOSAS   \n",
       "\n",
       "       COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0             LOS VALLES                     01/01/18   \n",
       "1  EJIDO LAZARO CARDENAS                     01/01/18   \n",
       "2           TOMAS AQUINO                     01/01/18   \n",
       "3              ALBA ROJA                     01/01/18   \n",
       "4              EL LAUREL                     01/01/18   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                   31/12/17                     18:30   TIJUANA  \n",
       "1                   31/12/17                     20:10   TIJUANA  \n",
       "2                   01/01/18                     01:30   TIJUANA  \n",
       "3                   31/12/17                     23:34   TIJUANA  \n",
       "4                   01/01/18                     01:10   TIJUANA  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can18.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>INFONAVIT LOMAS VERDES</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>31/12/16</td>\n",
       "      <td>19:02</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>LOMAS DE LA PRESA</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>31/12/16</td>\n",
       "      <td>19:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>RES  SANTA FE V</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>31/12/16</td>\n",
       "      <td>21:10</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>ROBO CON VIOLENCIA A COMERCIO</td>\n",
       "      <td>SAN LUIS</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>31/12/16</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>BENTON</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>00:45</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO       CLASIFICACION DEL DELITO  \\\n",
       "0      ROBO CON VIOLENCIA A COMERCIO  ROBO CON VIOLENCIA A COMERCIO   \n",
       "1      ROBO CON VIOLENCIA A COMERCIO  ROBO CON VIOLENCIA A COMERCIO   \n",
       "2  ROBO CALIFICADO A CASA HABITACIÓN        ROBO EN CASA HABITACION   \n",
       "3      ROBO CON VIOLENCIA A COMERCIO  ROBO CON VIOLENCIA A COMERCIO   \n",
       "4             LESIONES INTENCIONALES               LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0  INFONAVIT LOMAS VERDES                     01/01/17   \n",
       "1       LOMAS DE LA PRESA                     01/01/17   \n",
       "2         RES  SANTA FE V                     01/01/17   \n",
       "3                SAN LUIS                     01/01/17   \n",
       "4                  BENTON                     01/01/17   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                   31/12/16                     19:02   TIJUANA  \n",
       "1                   31/12/16                     19:30   TIJUANA  \n",
       "2                   31/12/16                     21:10   TIJUANA  \n",
       "3                   31/12/16                     19:00   TIJUANA  \n",
       "4                   01/01/17                     00:45   TIJUANA  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can17.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>JALISCO</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>14:40</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>BUENOS AIRES SUR</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>00:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LESIONES CULPOSAS</td>\n",
       "      <td>LESIONES CULPOSAS</td>\n",
       "      <td>LAS HUERTAS CUARTA SECCION</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>00:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>SALVATIERRA</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>08:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>SONOITA</td>\n",
       "      <td>2016-01-08 00:00:00</td>\n",
       "      <td>2016-01-08 00:00:00</td>\n",
       "      <td>19:20:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            DELITO         CLASIFICACION DEL DELITO  \\\n",
       "0  HOMICIDIO CALIFICADO (VIOLENTO)  HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "1                 ROBO DE VEHICULO                 ROBO DE VEHICULO   \n",
       "2                LESIONES CULPOSAS                LESIONES CULPOSAS   \n",
       "3          ROBO EN CASA HABITACION          ROBO EN CASA HABITACION   \n",
       "4  HOMICIDIO CALIFICADO (VIOLENTO)  HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "\n",
       "            COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0                     JALISCO          2016-01-01 00:00:00   \n",
       "1            BUENOS AIRES SUR          2016-01-01 00:00:00   \n",
       "2  LAS HUERTAS CUARTA SECCION          2016-01-01 00:00:00   \n",
       "3                 SALVATIERRA          2016-01-01 00:00:00   \n",
       "4                     SONOITA          2016-01-08 00:00:00   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0        2016-01-01 00:00:00                     14:40   TIJUANA  \n",
       "1        2016-01-01 00:00:00                     00:30   TIJUANA  \n",
       "2        2016-01-01 00:00:00                     00:00   TIJUANA  \n",
       "3        2016-01-01 00:00:00                     08:30   TIJUANA  \n",
       "4        2016-01-08 00:00:00                  19:20:00   TIJUANA  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can16.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL DELITO</th>\n",
       "      <th>FECHA DEL REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>AEROPUERTO</td>\n",
       "      <td>2015-01-01 00:00:00</td>\n",
       "      <td>01/01/2015</td>\n",
       "      <td>02:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>VASO DE LA PRESA</td>\n",
       "      <td>2015-01-01 00:00:00</td>\n",
       "      <td>01/01/2015</td>\n",
       "      <td>14:20</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>MIRAMAR</td>\n",
       "      <td>2015-01-01 00:00:00</td>\n",
       "      <td>31/12/2014</td>\n",
       "      <td>22:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO SIMPLE</td>\n",
       "      <td>ROBO SIMPLE (EN VIA PUBLICA)</td>\n",
       "      <td>ZONA CENTRO</td>\n",
       "      <td>2015-01-01 00:00:00</td>\n",
       "      <td>01/01/2015</td>\n",
       "      <td>02:40</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>SAN ANTONIO</td>\n",
       "      <td>2015-01-01 00:00:00</td>\n",
       "      <td>01/01/2015</td>\n",
       "      <td>01:49</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            DELITO         CLASIFICACION DEL DELITO  \\\n",
       "0  HOMICIDIO CALIFICADO (VIOLENTO)  HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "1  HOMICIDIO CALIFICADO (VIOLENTO)  HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "2          ROBO EN CASA HABITACION          ROBO EN CASA HABITACION   \n",
       "3                      ROBO SIMPLE     ROBO SIMPLE (EN VIA PUBLICA)   \n",
       "4           LESIONES INTENCIONALES                 LESIONES DOLOSAS   \n",
       "\n",
       "  COLONIA DEL DELITO FECHA DEL REGISTRO DEL DELITO FECHA DEL HECHO DEL DELITO  \\\n",
       "0         AEROPUERTO           2015-01-01 00:00:00                 01/01/2015   \n",
       "1   VASO DE LA PRESA           2015-01-01 00:00:00                 01/01/2015   \n",
       "2            MIRAMAR           2015-01-01 00:00:00                 31/12/2014   \n",
       "3        ZONA CENTRO           2015-01-01 00:00:00                 01/01/2015   \n",
       "4        SAN ANTONIO           2015-01-01 00:00:00                 01/01/2015   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                     02:30   TIJUANA  \n",
       "1                     14:20   TIJUANA  \n",
       "2                     22:30   TIJUANA  \n",
       "3                     02:40   TIJUANA  \n",
       "4                     01:49   TIJUANA  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can15.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>CERRO COLORADO</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>01:40</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>HOMICIDIO CALIFICADO (VIOLENTO)</td>\n",
       "      <td>VALLE IMPERIAL</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>07:55</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO EN GRADO DE TENTATIVA</td>\n",
       "      <td>OTROS ROBOS SIN VIOLENCIA</td>\n",
       "      <td>ZONA CENTRO</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>00:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>NUEVO MILENIO</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>11:45</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>ZONA NORTE</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>2014-01-01 00:00:00</td>\n",
       "      <td>00:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0  HOMICIDIO CALIFICADO (VIOLENTO)      HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "1  HOMICIDIO CALIFICADO (VIOLENTO)      HOMICIDIO CALIFICADO (VIOLENTO)   \n",
       "2       ROBO EN GRADO DE TENTATIVA            OTROS ROBOS SIN VIOLENCIA   \n",
       "3           LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "4               ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "\n",
       "  COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO FECHA DEL HECHO DEL DELITO  \\\n",
       "0    CERRO COLORADO          2014-01-01 00:00:00        2014-01-01 00:00:00   \n",
       "1    VALLE IMPERIAL          2014-01-01 00:00:00        2014-01-01 00:00:00   \n",
       "2       ZONA CENTRO          2014-01-01 00:00:00        2014-01-01 00:00:00   \n",
       "3     NUEVO MILENIO          2014-01-01 00:00:00        2014-01-01 00:00:00   \n",
       "4        ZONA NORTE          2014-01-01 00:00:00        2014-01-01 00:00:00   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                     01:40   TIJUANA  \n",
       "1                     07:55   TIJUANA  \n",
       "2                     00:00   TIJUANA  \n",
       "3                     11:45   TIJUANA  \n",
       "4                     00:00   TIJUANA  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can14.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21691 entries, 0 to 21690\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   DELITO                        21691 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      21691 non-null  object\n",
      " 2   COLONIA DEL HECHO             21690 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  21691 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    21691 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     21690 non-null  object\n",
      " 6   MUNICIPIO                     21687 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can19.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 22729 entries, 0 to 22728\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   DELITO                        22729 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      22729 non-null  object\n",
      " 2   COLONIA DEL HECHO             22729 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  22729 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    22729 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     22728 non-null  object\n",
      " 6   MUNICIPIO                     22729 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can18.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 28217 entries, 0 to 28216\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   DELITO                        28217 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      28217 non-null  object\n",
      " 2   COLONIA DEL HECHO             28217 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  28217 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    28217 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     28210 non-null  object\n",
      " 6   MUNICIPIO                     28216 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can17.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 24386 entries, 0 to 24385\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   DELITO                        24386 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      24386 non-null  object\n",
      " 2   COLONIA DEL HECHO             24376 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  24386 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    24386 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     24385 non-null  object\n",
      " 6   MUNICIPIO                     24385 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can16.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 23703 entries, 0 to 23702\n",
      "Data columns (total 7 columns):\n",
      " #   Column                         Non-Null Count  Dtype \n",
      "---  ------                         --------------  ----- \n",
      " 0   DELITO                         23703 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO       23703 non-null  object\n",
      " 2   COLONIA DEL DELITO             23670 non-null  object\n",
      " 3   FECHA DEL REGISTRO DEL DELITO  23703 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO     23703 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO      23703 non-null  object\n",
      " 6   MUNICIPIO                      23703 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can15.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 28376 entries, 0 to 28375\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count  Dtype \n",
      "---  ------                        --------------  ----- \n",
      " 0   DELITO                        28376 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      28376 non-null  object\n",
      " 2   COLONIA DEL HECHO             28376 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  28376 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    28376 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     28255 non-null  object\n",
      " 6   MUNICIPIO                     28376 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df_can14.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Putting together all the dataframes of each year in only one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_dfs = [df_can19, df_can18, df_can17, df_can16, df_can15 , df_can14]\n",
    "\n",
    "# Give all df's common column names\n",
    "for df in all_dfs:\n",
    "    df.columns = ['DELITO','CLASIFICACION DEL DELITO', 'COLONIA DEL HECHO', 'FECHA DE REGISTRO DEL DELITO', 'FECHA DEL HECHO DEL DELITO', 'HORA DEL HECHO DEL DELITO', 'MUNICIPIO']\n",
    "\n",
    "df = pd.concat(all_dfs).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                   31/12/18                     19:00   TIJUANA  \n",
       "1                   01/01/19                     02:00   TIJUANA  \n",
       "2                   01/01/19                     02:39   TIJUANA  \n",
       "3                   01/01/19                     02:00   TIJUANA  \n",
       "4                   31/12/18                     23:21   TIJUANA  "
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 149102 entries, 0 to 149101\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count   Dtype \n",
      "---  ------                        --------------   ----- \n",
      " 0   DELITO                        149102 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      149102 non-null  object\n",
      " 2   COLONIA DEL HECHO             149058 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  149102 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    149102 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     148971 non-null  object\n",
      " 6   MUNICIPIO                     149096 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 8.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving the Dataframe of all year in a CSV file, which I uploaded to my Github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"crime_tijuana_from_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/crime_tijuana_from_2014_to_2019.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \n",
       "0                   31/12/18                     19:00   TIJUANA  \n",
       "1                   01/01/19                     02:00   TIJUANA  \n",
       "2                   01/01/19                     02:39   TIJUANA  \n",
       "3                   01/01/19                     02:00   TIJUANA  \n",
       "4                   31/12/18                     23:21   TIJUANA  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 149102 entries, 0 to 149101\n",
      "Data columns (total 7 columns):\n",
      " #   Column                        Non-Null Count   Dtype \n",
      "---  ------                        --------------   ----- \n",
      " 0   DELITO                        149102 non-null  object\n",
      " 1   CLASIFICACION DEL DELITO      149102 non-null  object\n",
      " 2   COLONIA DEL HECHO             149058 non-null  object\n",
      " 3   FECHA DE REGISTRO DEL DELITO  149102 non-null  object\n",
      " 4   FECHA DEL HECHO DEL DELITO    149102 non-null  object\n",
      " 5   HORA DEL HECHO DEL DELITO     148971 non-null  object\n",
      " 6   MUNICIPIO                     149096 non-null  object\n",
      "dtypes: object(7)\n",
      "memory usage: 8.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transforming the dates rows to datetime format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>FECHA DEL HECHO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>31/12/18</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  FECHA DEL HECHO DEL DELITO HORA DEL HECHO DEL DELITO MUNICIPIO  \\\n",
       "0                   31/12/18                     19:00   TIJUANA   \n",
       "1                   01/01/19                     02:00   TIJUANA   \n",
       "2                   01/01/19                     02:39   TIJUANA   \n",
       "3                   01/01/19                     02:00   TIJUANA   \n",
       "4                   31/12/18                     23:21   TIJUANA   \n",
       "\n",
       "  FECHA DEL DELITO  \n",
       "0       2018-12-31  \n",
       "1       2019-01-01  \n",
       "2       2019-01-01  \n",
       "3       2019-01-01  \n",
       "4       2018-12-31  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['FECHA DEL DELITO'] = pd.to_datetime(df2['FECHA DEL HECHO DEL DELITO'])\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deleting the columns that repeat "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO  \n",
       "0                     19:00   TIJUANA       2018-12-31  \n",
       "1                     02:00   TIJUANA       2019-01-01  \n",
       "2                     02:39   TIJUANA       2019-01-01  \n",
       "3                     02:00   TIJUANA       2019-01-01  \n",
       "4                     23:21   TIJUANA       2018-12-31  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = df2.drop(df.columns[[4]], axis=1) \n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "      <th>day_of_week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO day_of_week  \n",
       "0                     19:00   TIJUANA       2018-12-31      Monday  \n",
       "1                     02:00   TIJUANA       2019-01-01     Tuesday  \n",
       "2                     02:39   TIJUANA       2019-01-01     Tuesday  \n",
       "3                     02:00   TIJUANA       2019-01-01     Tuesday  \n",
       "4                     23:21   TIJUANA       2018-12-31      Monday  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3['day_of_week'] = df3['FECHA DEL DELITO'].dt.day_name()\n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO day_of_week  year  \\\n",
       "0                     19:00   TIJUANA       2018-12-31      Monday  2018   \n",
       "1                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "2                     02:39   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "3                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "4                     23:21   TIJUANA       2018-12-31      Monday  2018   \n",
       "\n",
       "   month  day  \n",
       "0     12   31  \n",
       "1      1    1  \n",
       "2      1    1  \n",
       "3      1    1  \n",
       "4     12   31  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3['year']= df3['FECHA DEL DELITO'].dt.year\n",
    "df3['month']= df3['FECHA DEL DELITO'].dt.month\n",
    "df3['day']= df3['FECHA DEL DELITO'].dt.day\n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['HORA'] = pd.to_datetime(df3['HORA DEL HECHO DEL DELITO'], format='%H:%M', errors='coerce').dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>HORA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>TRES DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>ROBO DE VEHÍCULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHÍCULO                     ROBO DE VEHÍCULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2         TRES DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO day_of_week  year  \\\n",
       "0                     19:00   TIJUANA       2018-12-31      Monday  2018   \n",
       "1                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "2                     02:39   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "3                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "4                     23:21   TIJUANA       2018-12-31      Monday  2018   \n",
       "\n",
       "   month  day  HORA  \n",
       "0     12   31  19.0  \n",
       "1      1    1   2.0  \n",
       "2      1    1   2.0  \n",
       "3      1    1   2.0  \n",
       "4     12   31  23.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking for missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DELITO\n",
      "False    149102\n",
      "Name: DELITO, dtype: int64\n",
      "\n",
      "CLASIFICACION DEL DELITO\n",
      "False    149102\n",
      "Name: CLASIFICACION DEL DELITO, dtype: int64\n",
      "\n",
      "COLONIA DEL HECHO\n",
      "False    149058\n",
      "True         44\n",
      "Name: COLONIA DEL HECHO, dtype: int64\n",
      "\n",
      "FECHA DE REGISTRO DEL DELITO\n",
      "False    149102\n",
      "Name: FECHA DE REGISTRO DEL DELITO, dtype: int64\n",
      "\n",
      "HORA DEL HECHO DEL DELITO\n",
      "False    148971\n",
      "True        131\n",
      "Name: HORA DEL HECHO DEL DELITO, dtype: int64\n",
      "\n",
      "MUNICIPIO\n",
      "False    149096\n",
      "True          6\n",
      "Name: MUNICIPIO, dtype: int64\n",
      "\n",
      "FECHA DEL DELITO\n",
      "False    149102\n",
      "Name: FECHA DEL DELITO, dtype: int64\n",
      "\n",
      "day_of_week\n",
      "False    149102\n",
      "Name: day_of_week, dtype: int64\n",
      "\n",
      "year\n",
      "False    149102\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "False    149102\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "False    149102\n",
      "Name: day, dtype: int64\n",
      "\n",
      "HORA\n",
      "False    136120\n",
      "True      12982\n",
      "Name: HORA, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "missing_data = df3.isnull()\n",
    "for column in missing_data.columns.values.tolist():\n",
    "    print(column)\n",
    "    print (missing_data[column].value_counts())\n",
    "    print(\"\")   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Deleting the rows with missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3.dropna(subset=[\"HORA DEL HECHO DEL DELITO\"], axis=0, inplace=True)\n",
    "df3.dropna(subset=[\"MUNICIPIO\"], axis=0, inplace=True)\n",
    "df3.dropna(subset=[\"COLONIA DEL HECHO\"], axis=0, inplace=True)\n",
    "df3.dropna(subset=[\"HORA\"], axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DELITO\n",
      "False    136085\n",
      "Name: DELITO, dtype: int64\n",
      "\n",
      "CLASIFICACION DEL DELITO\n",
      "False    136085\n",
      "Name: CLASIFICACION DEL DELITO, dtype: int64\n",
      "\n",
      "COLONIA DEL HECHO\n",
      "False    136085\n",
      "Name: COLONIA DEL HECHO, dtype: int64\n",
      "\n",
      "FECHA DE REGISTRO DEL DELITO\n",
      "False    136085\n",
      "Name: FECHA DE REGISTRO DEL DELITO, dtype: int64\n",
      "\n",
      "HORA DEL HECHO DEL DELITO\n",
      "False    136085\n",
      "Name: HORA DEL HECHO DEL DELITO, dtype: int64\n",
      "\n",
      "MUNICIPIO\n",
      "False    136085\n",
      "Name: MUNICIPIO, dtype: int64\n",
      "\n",
      "FECHA DEL DELITO\n",
      "False    136085\n",
      "Name: FECHA DEL DELITO, dtype: int64\n",
      "\n",
      "day_of_week\n",
      "False    136085\n",
      "Name: day_of_week, dtype: int64\n",
      "\n",
      "year\n",
      "False    136085\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "False    136085\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "False    136085\n",
      "Name: day, dtype: int64\n",
      "\n",
      "HORA\n",
      "False    136085\n",
      "Name: HORA, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "missing_data = df3.isnull()\n",
    "for column in missing_data.columns.values.tolist():\n",
    "    print(column)\n",
    "    print (missing_data[column].value_counts())\n",
    "    print(\"\")  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cheking format of neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Mariano Matamoros Centro neighborhood has not coordinates available in google or other  online, so I renamed  it as the closest neighborhood, in this case Mariano Matamoros. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I couldn't find the coordinates of the Tres de octubre neighborhood, the problem was the \"Tres\", so I changed it to the number 3."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Obrera seccion 1 and Fraccionamiento Natura neighborhoods had the same problem as Mariano Matamoros Centro, the same process was done, in this case the closest neighborhood is Obrera and Fraccionamiento Hacienda las Delicias."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The division between Sanchez Taboada Produsta and Sanchez Taboada neighborhoods is non-existent this 2 are always taken as one, so I did the same. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'MARIANO MATAMOROS CENTRO':'MARIANO MATAMOROS'})\n",
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'TRES DE OCTUBRE':'3 DE OCTUBRE'})\n",
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'OBRERA SECC I':'OBRERA'})\n",
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'OBRERA II SECCION':'OBRERA'})\n",
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'FRACC NATURA':'FRACC HCDA LAS DELICIAS'})\n",
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].replace({'SANCHEZ TABOADA PRODUTSA':'SANCHEZ TABOADA'})\n",
    "df3['CLASIFICACION DEL DELITO'] = df3['CLASIFICACION DEL DELITO'].replace({'ROBO DE VEHÍCULO':'ROBO DE VEHICULO'})\n",
    "df3['CLASIFICACION DEL DELITO'] = df3['CLASIFICACION DEL DELITO'].replace({'ROBO DE VEHÍCULO CON VIOLENCIA':'ROBO DE VEHICULO CON VIOLENCIA'})\n",
    "df3['DELITO'] = df3['DELITO'].replace({'ROBO DE VEHÍCULO':'ROBO DE VEHICULO'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Erasing the white space in the cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['CLASIFICACION DEL DELITO'] = df3['CLASIFICACION DEL DELITO'].map(lambda x: x.strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['COLONIA DEL HECHO'] = df3['COLONIA DEL HECHO'].map(lambda x: x.strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['DELITO'] = df3['DELITO'].map(lambda x: x.strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>HORA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2            3 DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO day_of_week  year  \\\n",
       "0                     19:00   TIJUANA       2018-12-31      Monday  2018   \n",
       "1                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "2                     02:39   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "3                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "4                     23:21   TIJUANA       2018-12-31      Monday  2018   \n",
       "\n",
       "   month  day  HORA  \n",
       "0     12   31  19.0  \n",
       "1      1    1   2.0  \n",
       "2      1    1   2.0  \n",
       "3      1    1   2.0  \n",
       "4     12   31  23.0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving the Dataframe of all year in a CSV file, which I uploaded to my Github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3.to_csv(\"Clean_crime_tijuana_from_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "path2 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/Clean_crime_tijuana_from_2014_to_2019.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = pd.read_csv(path2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>DELITO</th>\n",
       "      <th>CLASIFICACION DEL DELITO</th>\n",
       "      <th>COLONIA DEL HECHO</th>\n",
       "      <th>FECHA DE REGISTRO DEL DELITO</th>\n",
       "      <th>HORA DEL HECHO DEL DELITO</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>FECHA DEL DELITO</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>HORA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DELITO             CLASIFICACION DEL DELITO  \\\n",
       "0                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "        COLONIA DEL HECHO FECHA DE REGISTRO DEL DELITO  \\\n",
       "0      VILLA DEL REAL III                     01/01/19   \n",
       "1     LOMAS DE LA AMISTAD                     01/01/19   \n",
       "2            3 DE OCTUBRE                     01/01/19   \n",
       "3             EMPERADORES                     01/01/19   \n",
       "4  RESIDENCIAL DEL BOSQUE                     01/01/19   \n",
       "\n",
       "  HORA DEL HECHO DEL DELITO MUNICIPIO FECHA DEL DELITO day_of_week  year  \\\n",
       "0                     19:00   TIJUANA       2018-12-31      Monday  2018   \n",
       "1                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "2                     02:39   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "3                     02:00   TIJUANA       2019-01-01     Tuesday  2019   \n",
       "4                     23:21   TIJUANA       2018-12-31      Monday  2018   \n",
       "\n",
       "   month  day  HORA  \n",
       "0     12   31  19.0  \n",
       "1      1    1   2.0  \n",
       "2      1    1   2.0  \n",
       "3      1    1   2.0  \n",
       "4     12   31  23.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Translating to english"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.rename(columns={'DELITO':'CRIME'}, inplace=True)\n",
    "test.rename(columns={'CLASIFICACION DEL DELITO':'CRIME CLASSIFICATION'}, inplace=True)\n",
    "test.rename(columns={'COLONIA DEL HECHO':'NEIGHBORHOOD OF THE CRIME'}, inplace=True)\n",
    "test.rename(columns={'FECHA DE REGISTRO DEL DELITO':'DATE OF RECORD OF THE CRIME'}, inplace=True)\n",
    "test.rename(columns={'HORA DEL HECHO DEL DELITO':'TIME OF THE CRIME'}, inplace=True)\n",
    "test.rename(columns={'FECHA DEL DELITO':'DATE OF THE CRIME'}, inplace=True)\n",
    "test.rename(columns={'HORA':'Hour'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>CRIME</th>\n",
       "      <th>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>ROBO EN CASA HABITACION</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>ROBO CON VIOLENCIA (EN VIA PUBLICA)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>LESIONES DOLOSAS</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               CRIME                 CRIME CLASSIFICATION  \\\n",
       "0                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN              ROBO EN CASA HABITACION   \n",
       "2                 ROBO CON VIOLENCIA  ROBO CON VIOLENCIA (EN VIA PUBLICA)   \n",
       "3                   ROBO DE VEHICULO                     ROBO DE VEHICULO   \n",
       "4             LESIONES INTENCIONALES                     LESIONES DOLOSAS   \n",
       "\n",
       "  NEIGHBORHOOD OF THE CRIME DATE OF RECORD OF THE CRIME TIME OF THE CRIME  \\\n",
       "0        VILLA DEL REAL III                    01/01/19             19:00   \n",
       "1       LOMAS DE LA AMISTAD                    01/01/19             02:00   \n",
       "2              3 DE OCTUBRE                    01/01/19             02:39   \n",
       "3               EMPERADORES                    01/01/19             02:00   \n",
       "4    RESIDENCIAL DEL BOSQUE                    01/01/19             23:21   \n",
       "\n",
       "  MUNICIPIO DATE OF THE CRIME day_of_week  year  month  day  Hour  \n",
       "0   TIJUANA        2018-12-31      Monday  2018     12   31  19.0  \n",
       "1   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "2   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "3   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "4   TIJUANA        2018-12-31      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO DE VEHICULO':'VEHICLE THEFT'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO EN CASA HABITACION':'RESIDENTIAL BURGLARY'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'LESIONES DOLOSAS':'UNLAWFUL WOUNDING'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'OTROS ROBOS SIN VIOLENCIA':'OTHERS THEFTS WITHOUT VIOLENCE'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO CON VIOLENCIA A COMERCIO':'THEFT WITH VIOLENCE TO A BUSINESS'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO CON VIOLENCIA (EN VIA PUBLICA)':'THEFT WITH VIOLENCE(IN PUBLIC AREAS)'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'LESIONES CULPOSAS':'MALICIOUS WOUNDING'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'HOMICIDIO CALIFICADO (VIOLENTO)':'HOMICIDE(VIOLENT)'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO SIMPLE (EN VIA PUBLICA)':'SIMPLE THEFT(IN PUBLIC AREAS)'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO DE VEHICULO CON VIOLENCIA':'THEFT OF VEHICLE WITH VIOLENCE'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO A COMERCIO':'THEFT TO A BUSINESS'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'OTROS ROBOS CON VIOLENCIA':'OTHERS THEFTS WITH VIOLENCE'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO CON VIOLENCIA A CASA':'RESIDENTIAL BURGLARY WITH VIOLENCE'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'SECUESTRO':'KIDNAPPING'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO A BANCO':'BANK THEFT'})\n",
    "test['CRIME CLASSIFICATION'] =test['CRIME CLASSIFICATION'].replace({'ROBO A BANCO SIN VIOLENCIA':'BANK THEFT WITHOUT VIOLENCE'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>CRIME</th>\n",
       "      <th>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ROBO CALIFICADO A CASA HABITACIÓN</td>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ROBO CON VIOLENCIA</td>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ROBO DE VEHICULO</td>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LESIONES INTENCIONALES</td>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               CRIME                  CRIME CLASSIFICATION  \\\n",
       "0                   ROBO DE VEHICULO                         VEHICLE THEFT   \n",
       "1  ROBO CALIFICADO A CASA HABITACIÓN                  RESIDENTIAL BURGLARY   \n",
       "2                 ROBO CON VIOLENCIA  THEFT WITH VIOLENCE(IN PUBLIC AREAS)   \n",
       "3                   ROBO DE VEHICULO                         VEHICLE THEFT   \n",
       "4             LESIONES INTENCIONALES                     UNLAWFUL WOUNDING   \n",
       "\n",
       "  NEIGHBORHOOD OF THE CRIME DATE OF RECORD OF THE CRIME TIME OF THE CRIME  \\\n",
       "0        VILLA DEL REAL III                    01/01/19             19:00   \n",
       "1       LOMAS DE LA AMISTAD                    01/01/19             02:00   \n",
       "2              3 DE OCTUBRE                    01/01/19             02:39   \n",
       "3               EMPERADORES                    01/01/19             02:00   \n",
       "4    RESIDENCIAL DEL BOSQUE                    01/01/19             23:21   \n",
       "\n",
       "  MUNICIPIO DATE OF THE CRIME day_of_week  year  month  day  Hour  \n",
       "0   TIJUANA        2018-12-31      Monday  2018     12   31  19.0  \n",
       "1   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "2   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "3   TIJUANA        2019-01-01     Tuesday  2019      1    1   2.0  \n",
       "4   TIJUANA        2018-12-31      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME CLASSIFICATION NEIGHBORHOOD OF THE CRIME  \\\n",
       "0                         VEHICLE THEFT        VILLA DEL REAL III   \n",
       "1                  RESIDENTIAL BURGLARY       LOMAS DE LA AMISTAD   \n",
       "2  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "3                         VEHICLE THEFT               EMPERADORES   \n",
       "4                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             19:00   TIJUANA        2018-12-31   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "4                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  \n",
       "0      Monday  2018     12   31  19.0  \n",
       "1     Tuesday  2019      1    1   2.0  \n",
       "2     Tuesday  2019      1    1   2.0  \n",
       "3     Tuesday  2019      1    1   2.0  \n",
       "4      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = test.drop(test.columns[[0]], axis=1) \n",
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cheking for years that not make sense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "year= test['year'].value_counts()\n",
    "year_count = year.to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>index</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>28411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>28115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>22588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>22257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>21167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015</td>\n",
       "      <td>13545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2006</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index   year\n",
       "0   2014  28411\n",
       "1   2017  28115\n",
       "2   2018  22588\n",
       "3   2016  22257\n",
       "4   2019  21167\n",
       "5   2015  13545\n",
       "6   2022      1\n",
       "7   2006      1"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_count = year_count.reset_index()\n",
    "year_count.head(17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50234</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>CAMINO VERDE</td>\n",
       "      <td>22/03/17</td>\n",
       "      <td>23:46</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2022-03-17</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIME CLASSIFICATION NEIGHBORHOOD OF THE CRIME  \\\n",
       "50234    HOMICIDE(VIOLENT)              CAMINO VERDE   \n",
       "\n",
       "      DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO  \\\n",
       "50234                    22/03/17             23:46   TIJUANA   \n",
       "\n",
       "      DATE OF THE CRIME day_of_week  year  month  day  Hour  \n",
       "50234        2022-03-17    Thursday  2022      3   17  23.0  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['year'] == 2022]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>48941</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>06/03/17</td>\n",
       "      <td>22:30</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2006-06-17</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>2006</td>\n",
       "      <td>6</td>\n",
       "      <td>17</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIME CLASSIFICATION NEIGHBORHOOD OF THE CRIME  \\\n",
       "48941    HOMICIDE(VIOLENT)           SANCHEZ TABOADA   \n",
       "\n",
       "      DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO  \\\n",
       "48941                    06/03/17             22:30   TIJUANA   \n",
       "\n",
       "      DATE OF THE CRIME day_of_week  year  month  day  Hour  \n",
       "48941        2006-06-17    Saturday  2006      6   17  22.0  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['year'] == 2006]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.drop(50234)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [CRIME CLASSIFICATION, NEIGHBORHOOD OF THE CRIME, DATE OF RECORD OF THE CRIME, TIME OF THE CRIME, MUNICIPIO, DATE OF THE CRIME, day_of_week, year, month, day, Hour]\n",
       "Index: []"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['year'] == 2022]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.drop(48941)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [CRIME CLASSIFICATION, NEIGHBORHOOD OF THE CRIME, DATE OF RECORD OF THE CRIME, TIME OF THE CRIME, MUNICIPIO, DATE OF THE CRIME, day_of_week, year, month, day, Hour]\n",
       "Index: []"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[test['year'] == 2006]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test.reset_index()\n",
    "del test['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CRIME CLASSIFICATION\n",
      "False    136083\n",
      "Name: CRIME CLASSIFICATION, dtype: int64\n",
      "\n",
      "NEIGHBORHOOD OF THE CRIME\n",
      "False    136082\n",
      "True          1\n",
      "Name: NEIGHBORHOOD OF THE CRIME, dtype: int64\n",
      "\n",
      "DATE OF RECORD OF THE CRIME\n",
      "False    136083\n",
      "Name: DATE OF RECORD OF THE CRIME, dtype: int64\n",
      "\n",
      "TIME OF THE CRIME\n",
      "False    136083\n",
      "Name: TIME OF THE CRIME, dtype: int64\n",
      "\n",
      "MUNICIPIO\n",
      "False    136083\n",
      "Name: MUNICIPIO, dtype: int64\n",
      "\n",
      "DATE OF THE CRIME\n",
      "False    136083\n",
      "Name: DATE OF THE CRIME, dtype: int64\n",
      "\n",
      "day_of_week\n",
      "False    136083\n",
      "Name: day_of_week, dtype: int64\n",
      "\n",
      "year\n",
      "False    136083\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "False    136083\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "False    136083\n",
      "Name: day, dtype: int64\n",
      "\n",
      "Hour\n",
      "False    136083\n",
      "Name: Hour, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "missing_data = test.isnull()\n",
    "for column in missing_data.columns.values.tolist():\n",
    "    print(column)\n",
    "    print (missing_data[column].value_counts())\n",
    "    print(\"\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.dropna(subset=[\"NEIGHBORHOOD OF THE CRIME\"], axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CRIME CLASSIFICATION\n",
      "False    136082\n",
      "Name: CRIME CLASSIFICATION, dtype: int64\n",
      "\n",
      "NEIGHBORHOOD OF THE CRIME\n",
      "False    136082\n",
      "Name: NEIGHBORHOOD OF THE CRIME, dtype: int64\n",
      "\n",
      "DATE OF RECORD OF THE CRIME\n",
      "False    136082\n",
      "Name: DATE OF RECORD OF THE CRIME, dtype: int64\n",
      "\n",
      "TIME OF THE CRIME\n",
      "False    136082\n",
      "Name: TIME OF THE CRIME, dtype: int64\n",
      "\n",
      "MUNICIPIO\n",
      "False    136082\n",
      "Name: MUNICIPIO, dtype: int64\n",
      "\n",
      "DATE OF THE CRIME\n",
      "False    136082\n",
      "Name: DATE OF THE CRIME, dtype: int64\n",
      "\n",
      "day_of_week\n",
      "False    136082\n",
      "Name: day_of_week, dtype: int64\n",
      "\n",
      "year\n",
      "False    136082\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "False    136082\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "False    136082\n",
      "Name: day, dtype: int64\n",
      "\n",
      "Hour\n",
      "False    136082\n",
      "Name: Hour, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "missing_data = test.isnull()\n",
    "for column in missing_data.columns.values.tolist():\n",
    "    print(column)\n",
    "    print (missing_data[column].value_counts())\n",
    "    print(\"\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 136082 entries, 0 to 136082\n",
      "Data columns (total 11 columns):\n",
      " #   Column                       Non-Null Count   Dtype  \n",
      "---  ------                       --------------   -----  \n",
      " 0   CRIME CLASSIFICATION         136082 non-null  object \n",
      " 1   NEIGHBORHOOD OF THE CRIME    136082 non-null  object \n",
      " 2   DATE OF RECORD OF THE CRIME  136082 non-null  object \n",
      " 3   TIME OF THE CRIME            136082 non-null  object \n",
      " 4   MUNICIPIO                    136082 non-null  object \n",
      " 5   DATE OF THE CRIME            136082 non-null  object \n",
      " 6   day_of_week                  136082 non-null  object \n",
      " 7   year                         136082 non-null  int64  \n",
      " 8   month                        136082 non-null  int64  \n",
      " 9   day                          136082 non-null  int64  \n",
      " 10  Hour                         136082 non-null  float64\n",
      "dtypes: float64(1), int64(3), object(7)\n",
      "memory usage: 12.5+ MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME CLASSIFICATION NEIGHBORHOOD OF THE CRIME  \\\n",
       "0                         VEHICLE THEFT        VILLA DEL REAL III   \n",
       "1                  RESIDENTIAL BURGLARY       LOMAS DE LA AMISTAD   \n",
       "2  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "3                         VEHICLE THEFT               EMPERADORES   \n",
       "4                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             19:00   TIJUANA        2018-12-31   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "4                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  \n",
       "0      Monday  2018     12   31  19.0  \n",
       "1     Tuesday  2019      1    1   2.0  \n",
       "2     Tuesday  2019      1    1   2.0  \n",
       "3     Tuesday  2019      1    1   2.0  \n",
       "4      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving the Dataframe of all year in a CSV file, which I uploaded to my Github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.to_csv(\"ENGLISH_Clean_crime_tijuana_from_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "path4 = 'https://raw.githubusercontent.com/victor-onofre/Capstone-Project/master/Crime%20data/ENGLISH_Clean_crime_tijuana_from_2014_to_2019.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "test4 = pd.read_csv(path4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>CRIME CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD OF THE CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME CLASSIFICATION NEIGHBORHOOD OF THE CRIME  \\\n",
       "0                         VEHICLE THEFT        VILLA DEL REAL III   \n",
       "1                  RESIDENTIAL BURGLARY       LOMAS DE LA AMISTAD   \n",
       "2  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "3                         VEHICLE THEFT               EMPERADORES   \n",
       "4                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             19:00   TIJUANA        2018-12-31   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "4                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  \n",
       "0      Monday  2018     12   31  19.0  \n",
       "1     Tuesday  2019      1    1   2.0  \n",
       "2     Tuesday  2019      1    1   2.0  \n",
       "3     Tuesday  2019      1    1   2.0  \n",
       "4      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "test4.rename(columns={'CRIME CLASSIFICATION':'CRIME_CLASSIFICATION'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "test4.rename(columns={'NEIGHBORHOOD OF THE CRIME':'NEIGHBORHOOD_OF_THE_CRIME'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0                         VEHICLE THEFT        VILLA DEL REAL III   \n",
       "1                  RESIDENTIAL BURGLARY       LOMAS DE LA AMISTAD   \n",
       "2  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "3                         VEHICLE THEFT               EMPERADORES   \n",
       "4                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             19:00   TIJUANA        2018-12-31   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "4                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  \n",
       "0      Monday  2018     12   31  19.0  \n",
       "1     Tuesday  2019      1    1   2.0  \n",
       "2     Tuesday  2019      1    1   2.0  \n",
       "3     Tuesday  2019      1    1   2.0  \n",
       "4      Monday  2018     12   31  23.0  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test4.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making dataframe of the most violent neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Making a new dataframe with only the crime classification with the words \"WITH VIOLENCE\", \"VIOLENT\" and \"MALICIOUS WOUNDING\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>06/01/19</td>\n",
       "      <td>20:41</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>02/01/19</td>\n",
       "      <td>21:05</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>THEFT WITH VIOLENCE TO A BUSINESS</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>05/01/19</td>\n",
       "      <td>17:55</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    CRIME_CLASSIFICATION  NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "2   THEFT WITH VIOLENCE(IN PUBLIC AREAS)               3 DE OCTUBRE   \n",
       "5                      HOMICIDE(VIOLENT)            SANCHEZ TABOADA   \n",
       "9                      HOMICIDE(VIOLENT)               3 DE OCTUBRE   \n",
       "10  THEFT WITH VIOLENCE(IN PUBLIC AREAS)  RIO TIJUANA TERCERA ETAPA   \n",
       "11     THEFT WITH VIOLENCE TO A BUSINESS  RIO TIJUANA TERCERA ETAPA   \n",
       "\n",
       "   DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "2                     01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "5                     01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "9                     06/01/19             20:41   TIJUANA        2019-05-01   \n",
       "10                    02/01/19             21:05   TIJUANA        2019-02-01   \n",
       "11                    05/01/19             17:55   TIJUANA        2019-05-01   \n",
       "\n",
       "   day_of_week  year  month  day  Hour  \n",
       "2      Tuesday  2019      1    1   2.0  \n",
       "5      Tuesday  2019      1    1   1.0  \n",
       "9    Wednesday  2019      5    1  20.0  \n",
       "10      Friday  2019      2    1  21.0  \n",
       "11   Wednesday  2019      5    1  17.0  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence = test4[(test4.CRIME_CLASSIFICATION.str.contains('WITH VIOLENCE'))| (test4.CRIME_CLASSIFICATION.str.contains('VIOLENT')) | (test4.CRIME_CLASSIFICATION.str.contains('MALICIOUS WOUNDING'))]\n",
    "df_Violence.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(42862, 11)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfViolence = df_Violence.dropna()\n",
    "dfViolence.isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Violence = df_Violence.reset_index()\n",
    "del df_Violence['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>06/01/19</td>\n",
       "      <td>20:41</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>02/01/19</td>\n",
       "      <td>21:05</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THEFT WITH VIOLENCE TO A BUSINESS</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>05/01/19</td>\n",
       "      <td>17:55</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION  NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0  THEFT WITH VIOLENCE(IN PUBLIC AREAS)               3 DE OCTUBRE   \n",
       "1                     HOMICIDE(VIOLENT)            SANCHEZ TABOADA   \n",
       "2                     HOMICIDE(VIOLENT)               3 DE OCTUBRE   \n",
       "3  THEFT WITH VIOLENCE(IN PUBLIC AREAS)  RIO TIJUANA TERCERA ETAPA   \n",
       "4     THEFT WITH VIOLENCE TO A BUSINESS  RIO TIJUANA TERCERA ETAPA   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "1                    01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "2                    06/01/19             20:41   TIJUANA        2019-05-01   \n",
       "3                    02/01/19             21:05   TIJUANA        2019-02-01   \n",
       "4                    05/01/19             17:55   TIJUANA        2019-05-01   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  \n",
       "0     Tuesday  2019      1    1   2.0  \n",
       "1     Tuesday  2019      1    1   1.0  \n",
       "2   Wednesday  2019      5    1  20.0  \n",
       "3      Friday  2019      2    1  21.0  \n",
       "4   Wednesday  2019      5    1  17.0  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Violence.to_csv(\"Violent_CRIME_CLASSIFICATION_tijuana_from_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE  = df_Violence['NEIGHBORHOOD_OF_THE_CRIME'].value_counts().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "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>index</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZONA CENTRO</td>\n",
       "      <td>1502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MARIANO MATAMOROS</td>\n",
       "      <td>1033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZONA URBANA RIO TIJUANA</td>\n",
       "      <td>863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CAMINO VERDE</td>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MARIANO MATAMOROS NORTE</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EL FLORIDO PRIMERA Y SEGUNDA SECCION</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NUEVA TIJUANA</td>\n",
       "      <td>491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>EL PIPILA</td>\n",
       "      <td>476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LA MESA</td>\n",
       "      <td>436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>EJIDO FRANCISCO VILLA</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ZONA NORTE</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>LAS TORRES</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>EL RUBI</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   index  NEIGHBORHOOD_OF_THE_CRIME\n",
       "0                            ZONA CENTRO                       1502\n",
       "1                      MARIANO MATAMOROS                       1033\n",
       "2                ZONA URBANA RIO TIJUANA                        863\n",
       "3                           CAMINO VERDE                        544\n",
       "4                MARIANO MATAMOROS NORTE                        500\n",
       "5   EL FLORIDO PRIMERA Y SEGUNDA SECCION                        496\n",
       "6                          NUEVA TIJUANA                        491\n",
       "7                              EL PIPILA                        476\n",
       "8              RIO TIJUANA TERCERA ETAPA                        471\n",
       "9                                LA MESA                        436\n",
       "10                 EJIDO FRANCISCO VILLA                        392\n",
       "11                            ZONA NORTE                        377\n",
       "12                       SANCHEZ TABOADA                        376\n",
       "13                            LAS TORRES                        367\n",
       "14                               EL RUBI                        357"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "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>index</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2080</th>\n",
       "      <td>LEY DEL REGISTRO CIVIL</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2081</th>\n",
       "      <td>KILOMETRO 151+600 DE LA CARRETERA 1630 MEXICAL...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2082</th>\n",
       "      <td>TERRAZAS LA MORITA</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2083</th>\n",
       "      <td>CENTAURO</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2084</th>\n",
       "      <td>NATURA SECC.  ARBOLEDAS</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  index  \\\n",
       "2080                             LEY DEL REGISTRO CIVIL   \n",
       "2081  KILOMETRO 151+600 DE LA CARRETERA 1630 MEXICAL...   \n",
       "2082                                 TERRAZAS LA MORITA   \n",
       "2083                                           CENTAURO   \n",
       "2084                            NATURA SECC.  ARBOLEDAS   \n",
       "\n",
       "      NEIGHBORHOOD_OF_THE_CRIME  \n",
       "2080                          1  \n",
       "2081                          1  \n",
       "2082                          1  \n",
       "2083                          1  \n",
       "2084                          1  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "to_drop3= np.arange(102, 2085)\n",
    "for ii in to_drop3:\n",
    "        NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop([ii], axis=0) "
   ]
  },
  {
   "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>index</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>CIUDAD JARDIN</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ALTAMIRA</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>GUADALUPE VICTORIA</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>CAMPOS</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  index  NEIGHBORHOOD_OF_THE_CRIME\n",
       "97        CIUDAD JARDIN                        101\n",
       "98             ALTAMIRA                        100\n",
       "99   GUADALUPE VICTORIA                         97\n",
       "100              ALEMAN                         96\n",
       "101              CAMPOS                         94"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.rename(columns={'NEIGHBORHOOD_OF_THE_CRIME':'counts'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.rename(columns={'index':'NEIGHBORHOOD_OF_THE_CRIME'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "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>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>CIUDAD JARDIN</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ALTAMIRA</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>GUADALUPE VICTORIA</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>CAMPOS</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    NEIGHBORHOOD_OF_THE_CRIME  counts\n",
       "97              CIUDAD JARDIN     101\n",
       "98                   ALTAMIRA     100\n",
       "99         GUADALUPE VICTORIA      97\n",
       "100                    ALEMAN      96\n",
       "101                    CAMPOS      94"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Coordinates of neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE['ADDRESS'] = NEIGHBORHOOD_MORE_VIOLENCE['NEIGHBORHOOD_OF_THE_CRIME'].astype(str) + ',' + \\\n",
    "                 'Tijuana' + ',' + \\\n",
    "                 'Mexico' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "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>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>CIUDAD JARDIN</td>\n",
       "      <td>101</td>\n",
       "      <td>CIUDAD JARDIN,Tijuana,Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ALTAMIRA</td>\n",
       "      <td>100</td>\n",
       "      <td>ALTAMIRA,Tijuana,Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>GUADALUPE VICTORIA</td>\n",
       "      <td>97</td>\n",
       "      <td>GUADALUPE VICTORIA,Tijuana,Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>96</td>\n",
       "      <td>ALEMAN,Tijuana,Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>CAMPOS</td>\n",
       "      <td>94</td>\n",
       "      <td>CAMPOS,Tijuana,Mexico</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    NEIGHBORHOOD_OF_THE_CRIME  counts                            ADDRESS\n",
       "97              CIUDAD JARDIN     101       CIUDAD JARDIN,Tijuana,Mexico\n",
       "98                   ALTAMIRA     100            ALTAMIRA,Tijuana,Mexico\n",
       "99         GUADALUPE VICTORIA      97  GUADALUPE VICTORIA,Tijuana,Mexico\n",
       "100                    ALEMAN      96              ALEMAN,Tijuana,Mexico\n",
       "101                    CAMPOS      94              CAMPOS,Tijuana,Mexico"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "locator = Nominatim(user_agent=\"vonofre68@gmail.com\")\n",
    "location = locator.geocode(\"S/D,Tijuana,Mexico\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mexico, Calle Francisco J Mujica, Otay Constituyentes, Misiones de Pedregal Fraccionamiento, Tijuana, Municipio de Tijuana, Baja California, 22457, México\n",
      "Latitude = 32.5294237, Longitude = -116.9462364\n"
     ]
    }
   ],
   "source": [
    "print(location.address)\n",
    "print(\"Latitude = {}, Longitude = {}\".format(location.latitude, location.longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking for the coordinates of each neigborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RateLimiter caught an error, retrying (0/2 tries). Called with (*('BUENOS AIRES NORTE,Tijuana,Mexico',), **{}).\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 1319, in do_open\n",
      "    encode_chunked=req.has_header('Transfer-encoding'))\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 1252, in request\n",
      "    self._send_request(method, url, body, headers, encode_chunked)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 1298, in _send_request\n",
      "    self.endheaders(body, encode_chunked=encode_chunked)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 1247, in endheaders\n",
      "    self._send_output(message_body, encode_chunked=encode_chunked)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 1026, in _send_output\n",
      "    self.send(msg)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 966, in send\n",
      "    self.connect()\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 1414, in connect\n",
      "    super().connect()\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/http/client.py\", line 938, in connect\n",
      "    (self.host,self.port), self.timeout, self.source_address)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/socket.py\", line 728, in create_connection\n",
      "    raise err\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/socket.py\", line 716, in create_connection\n",
      "    sock.connect(sa)\n",
      "OSError: [Errno 101] Network is unreachable\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/site-packages/geopy/geocoders/base.py\", line 355, in _call_geocoder\n",
      "    page = requester(req, timeout=timeout, **kwargs)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 525, in open\n",
      "    response = self._open(req, data)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 543, in _open\n",
      "    '_open', req)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 503, in _call_chain\n",
      "    result = func(*args)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 1362, in https_open\n",
      "    context=self._context, check_hostname=self._check_hostname)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/urllib/request.py\", line 1321, in do_open\n",
      "    raise URLError(err)\n",
      "urllib.error.URLError: <urlopen error [Errno 101] Network is unreachable>\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/site-packages/geopy/extra/rate_limiter.py\", line 126, in __call__\n",
      "    return self.func(*args, **kwargs)\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/site-packages/geopy/geocoders/osm.py\", line 406, in geocode\n",
      "    self._call_geocoder(url, timeout=timeout), exactly_one\n",
      "  File \"/home/onofre/anaconda3/lib/python3.7/site-packages/geopy/geocoders/base.py\", line 380, in _call_geocoder\n",
      "    raise GeocoderUnavailable('Service not available')\n",
      "geopy.exc.GeocoderUnavailable: Service not available\n"
     ]
    }
   ],
   "source": [
    "# 1 - conveneint function to delay between geocoding calls\n",
    "geocode = RateLimiter(locator.geocode, min_delay_seconds=1)\n",
    "# 2- - create location column\n",
    "NEIGHBORHOOD_MORE_VIOLENCE['location'] =  NEIGHBORHOOD_MORE_VIOLENCE['ADDRESS'].apply(geocode)\n",
    "# 3 - create longitude, laatitude and altitude from location column (returns tuple)\n",
    "NEIGHBORHOOD_MORE_VIOLENCE['point'] =  NEIGHBORHOOD_MORE_VIOLENCE['location'].apply(lambda loc: tuple(loc.point) if loc else None)\n",
    "# 4 - split point column into latitude, longitude and altitude columns\n",
    "NEIGHBORHOOD_MORE_VIOLENCE[['latitude', 'longitude', 'altitude']] = pd.DataFrame(NEIGHBORHOOD_MORE_VIOLENCE['point'].tolist(), index= NEIGHBORHOOD_MORE_VIOLENCE.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "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>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>point</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>altitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>ZONA RIO</td>\n",
       "      <td>163</td>\n",
       "      <td>ZONA RIO,Tijuana,Mexico</td>\n",
       "      <td>(Zona Urbana Río Tijuana, Tijuana, Municipio d...</td>\n",
       "      <td>(32.52963695, -117.01986845015388, 0.0)</td>\n",
       "      <td>32.529637</td>\n",
       "      <td>-117.019868</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>LOS SANTOS</td>\n",
       "      <td>162</td>\n",
       "      <td>LOS SANTOS,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>URBIVILLA DEL PRADO</td>\n",
       "      <td>160</td>\n",
       "      <td>URBIVILLA DEL PRADO,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>EL DORADO RESIDENCIAL</td>\n",
       "      <td>158</td>\n",
       "      <td>EL DORADO RESIDENCIAL,Tijuana,Mexico</td>\n",
       "      <td>(Autopista Tijuana-Ensenada, Costa Coronado Re...</td>\n",
       "      <td>(32.5140884, -117.1096189, 0.0)</td>\n",
       "      <td>32.514088</td>\n",
       "      <td>-117.109619</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>EJIDO CHILPANCINGO</td>\n",
       "      <td>158</td>\n",
       "      <td>EJIDO CHILPANCINGO,Tijuana,Mexico</td>\n",
       "      <td>(Calle Ejido Chilpancingo, Valencia, Jardín Do...</td>\n",
       "      <td>(32.5150341, -116.9028488, 0.0)</td>\n",
       "      <td>32.515034</td>\n",
       "      <td>-116.902849</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>VILLA DEL ALAMO</td>\n",
       "      <td>155</td>\n",
       "      <td>VILLA DEL ALAMO,Tijuana,Mexico</td>\n",
       "      <td>(Villa del Alamo, El Porvenir, San Luis, Munic...</td>\n",
       "      <td>(32.4337319, -116.94340113729231, 0.0)</td>\n",
       "      <td>32.433732</td>\n",
       "      <td>-116.943401</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>GARITA DE OTAY</td>\n",
       "      <td>154</td>\n",
       "      <td>GARITA DE OTAY,Tijuana,Mexico</td>\n",
       "      <td>(Boulevard Garita de Otay, Otay Vista, Misione...</td>\n",
       "      <td>(32.5255214, -116.9339484, 0.0)</td>\n",
       "      <td>32.525521</td>\n",
       "      <td>-116.933948</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>EJIDO OJO DE AGUA</td>\n",
       "      <td>153</td>\n",
       "      <td>EJIDO OJO DE AGUA,Tijuana,Mexico</td>\n",
       "      <td>(Ejido Ojo de Agua, El Florido, Ejido Maclovio...</td>\n",
       "      <td>(32.4753187, -116.788711, 0.0)</td>\n",
       "      <td>32.475319</td>\n",
       "      <td>-116.788711</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>URBIVILLA DEL PRADO 2</td>\n",
       "      <td>152</td>\n",
       "      <td>URBIVILLA DEL PRADO 2,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>EL TECOLOTE</td>\n",
       "      <td>152</td>\n",
       "      <td>EL TECOLOTE,Tijuana,Mexico</td>\n",
       "      <td>(Calle Tecolote, El Escondido, Planicie, Tijua...</td>\n",
       "      <td>(32.5530058, -116.8816674, 0.0)</td>\n",
       "      <td>32.553006</td>\n",
       "      <td>-116.881667</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>SECCION JARDINES PLAYAS DE TIJUANA</td>\n",
       "      <td>148</td>\n",
       "      <td>SECCION JARDINES PLAYAS DE TIJUANA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>LAZARO CARDENAS</td>\n",
       "      <td>144</td>\n",
       "      <td>LAZARO CARDENAS,Tijuana,Mexico</td>\n",
       "      <td>(Lázaro Cárdenas, Tijuana, Municipio de Tijuan...</td>\n",
       "      <td>(32.5266021, -117.0986317, 0.0)</td>\n",
       "      <td>32.526602</td>\n",
       "      <td>-117.098632</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>OTAY UNIVERSIDAD</td>\n",
       "      <td>142</td>\n",
       "      <td>OTAY UNIVERSIDAD,Tijuana,Mexico</td>\n",
       "      <td>(Otay Universidad, Tijuana, Municipio de Tijua...</td>\n",
       "      <td>(32.52722345, -116.97483435569566, 0.0)</td>\n",
       "      <td>32.527223</td>\n",
       "      <td>-116.974834</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>VILLA DEL REAL I</td>\n",
       "      <td>141</td>\n",
       "      <td>VILLA DEL REAL I,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>INDEPENDENCIA</td>\n",
       "      <td>140</td>\n",
       "      <td>INDEPENDENCIA,Tijuana,Mexico</td>\n",
       "      <td>(Independencia, 18 de Marzo, El Porvenir, Tiju...</td>\n",
       "      <td>(32.4779492, -116.937688, 0.0)</td>\n",
       "      <td>32.477949</td>\n",
       "      <td>-116.937688</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>PORTICOS DE SAN ANTONIO</td>\n",
       "      <td>139</td>\n",
       "      <td>PORTICOS DE SAN ANTONIO,Tijuana,Mexico</td>\n",
       "      <td>(Pórticos de San Antonio, Municipio de Tijuana...</td>\n",
       "      <td>(32.4406334, -117.0322012, 0.0)</td>\n",
       "      <td>32.440633</td>\n",
       "      <td>-117.032201</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>PRESIDENTES</td>\n",
       "      <td>139</td>\n",
       "      <td>PRESIDENTES,Tijuana,Mexico</td>\n",
       "      <td>(INFONAVIT Presidentes, El Porvenir, Tijuana, ...</td>\n",
       "      <td>(32.49070405, -116.90635142395871, 0.0)</td>\n",
       "      <td>32.490704</td>\n",
       "      <td>-116.906351</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>137</td>\n",
       "      <td>EMPERADORES,Tijuana,Mexico</td>\n",
       "      <td>(Emperadores, Misiones de Pedregal Fraccionami...</td>\n",
       "      <td>(32.4864045, -116.9663788, 0.0)</td>\n",
       "      <td>32.486404</td>\n",
       "      <td>-116.966379</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>LOS REYES</td>\n",
       "      <td>136</td>\n",
       "      <td>LOS REYES,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>CAÑADAS DEL FLORIDO</td>\n",
       "      <td>136</td>\n",
       "      <td>CAÑADAS DEL FLORIDO,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>EJIDO LAZARO CARDENAS</td>\n",
       "      <td>134</td>\n",
       "      <td>EJIDO LAZARO CARDENAS,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>AVIACION</td>\n",
       "      <td>130</td>\n",
       "      <td>AVIACION,Tijuana,Mexico</td>\n",
       "      <td>(Aviación, Misiones de Pedregal Fraccionamient...</td>\n",
       "      <td>(32.5134672, -117.0083679, 0.0)</td>\n",
       "      <td>32.513467</td>\n",
       "      <td>-117.008368</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>SALVATIERRA</td>\n",
       "      <td>129</td>\n",
       "      <td>SALVATIERRA,Tijuana,Mexico</td>\n",
       "      <td>(Salvatierra, Tijuana, Municipio de Tijuana, B...</td>\n",
       "      <td>(32.4829489, -117.0720732, 0.0)</td>\n",
       "      <td>32.482949</td>\n",
       "      <td>-117.072073</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>LOMAS DEL MATAMOROS</td>\n",
       "      <td>123</td>\n",
       "      <td>LOMAS DEL MATAMOROS,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>EL MIRADOR</td>\n",
       "      <td>120</td>\n",
       "      <td>EL MIRADOR,Tijuana,Mexico</td>\n",
       "      <td>(El Mirador, Altiplano 5ta, Villa del Sol Cuar...</td>\n",
       "      <td>(32.5157821, -116.8356843, 0.0)</td>\n",
       "      <td>32.515782</td>\n",
       "      <td>-116.835684</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>120</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>LA JOYA</td>\n",
       "      <td>119</td>\n",
       "      <td>LA JOYA,Tijuana,Mexico</td>\n",
       "      <td>(La Joya, Municipio de Tijuana, Baja Californi...</td>\n",
       "      <td>(32.4448306, -117.0033708, 0.0)</td>\n",
       "      <td>32.444831</td>\n",
       "      <td>-117.003371</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>SANTA FE</td>\n",
       "      <td>118</td>\n",
       "      <td>SANTA FE,Tijuana,Mexico</td>\n",
       "      <td>(Santa Fe, Villa Residencial Santa Fe 1ra Secc...</td>\n",
       "      <td>(32.4472379, -117.0420699, 0.0)</td>\n",
       "      <td>32.447238</td>\n",
       "      <td>-117.042070</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>ANEXA 20 DE NOVIEMBRE</td>\n",
       "      <td>118</td>\n",
       "      <td>ANEXA 20 DE NOVIEMBRE,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>OTAY CONSTITUYENTES</td>\n",
       "      <td>118</td>\n",
       "      <td>OTAY CONSTITUYENTES,Tijuana,Mexico</td>\n",
       "      <td>(Otay Constituyentes, Misiones de Pedregal Fra...</td>\n",
       "      <td>(32.5293228, -116.9466581, 0.0)</td>\n",
       "      <td>32.529323</td>\n",
       "      <td>-116.946658</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>VILLA FONTANA</td>\n",
       "      <td>116</td>\n",
       "      <td>VILLA FONTANA,Tijuana,Mexico</td>\n",
       "      <td>(Villa Fontana, El Dorado, Valle Verde, Tijuan...</td>\n",
       "      <td>(32.5065109, -116.8719097, 0.0)</td>\n",
       "      <td>32.506511</td>\n",
       "      <td>-116.871910</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>TOMAS AQUINO</td>\n",
       "      <td>114</td>\n",
       "      <td>TOMAS AQUINO,Tijuana,Mexico</td>\n",
       "      <td>(Tomas Aquino, Tijuana, Municipio de Tijuana, ...</td>\n",
       "      <td>(32.52836235, -116.98609895776369, 0.0)</td>\n",
       "      <td>32.528362</td>\n",
       "      <td>-116.986099</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>LAS DELICIAS III</td>\n",
       "      <td>110</td>\n",
       "      <td>LAS DELICIAS III,Tijuana,Mexico</td>\n",
       "      <td>(Las Delicias, Municipio de Tijuana, Baja Cali...</td>\n",
       "      <td>(32.4059884, -116.9413012, 0.0)</td>\n",
       "      <td>32.405988</td>\n",
       "      <td>-116.941301</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>AGUAJE DE LA TUNA PRIMERA SECCION</td>\n",
       "      <td>109</td>\n",
       "      <td>AGUAJE DE LA TUNA PRIMERA SECCION,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>SAN LUIS</td>\n",
       "      <td>109</td>\n",
       "      <td>SAN LUIS,Tijuana,Mexico</td>\n",
       "      <td>(San Luis, Municipio de Tijuana, Baja Californ...</td>\n",
       "      <td>(32.4285403, -116.9543611, 0.0)</td>\n",
       "      <td>32.428540</td>\n",
       "      <td>-116.954361</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>VILLA DEL CAMPO</td>\n",
       "      <td>108</td>\n",
       "      <td>VILLA DEL CAMPO,Tijuana,Mexico</td>\n",
       "      <td>(Villa del Campo, Municipio de Tijuana, Baja C...</td>\n",
       "      <td>(32.5081727, -116.7365324, 0.0)</td>\n",
       "      <td>32.508173</td>\n",
       "      <td>-116.736532</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>PLAYAS DE TIJUANA</td>\n",
       "      <td>108</td>\n",
       "      <td>PLAYAS DE TIJUANA,Tijuana,Mexico</td>\n",
       "      <td>(Playas de Tijuana, Calle Colima, Playas de Ti...</td>\n",
       "      <td>(32.531755, -117.116418, 0.0)</td>\n",
       "      <td>32.531755</td>\n",
       "      <td>-117.116418</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>LA CIENEGA</td>\n",
       "      <td>108</td>\n",
       "      <td>LA CIENEGA,Tijuana,Mexico</td>\n",
       "      <td>(La Ciénega, El Porvenir, Tijuana, Municipio d...</td>\n",
       "      <td>(32.4882194, -116.9391823, 0.0)</td>\n",
       "      <td>32.488219</td>\n",
       "      <td>-116.939182</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>LOMAS DE LA PRESA</td>\n",
       "      <td>106</td>\n",
       "      <td>LOMAS DE LA PRESA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>JARDINES DE LA MESA</td>\n",
       "      <td>106</td>\n",
       "      <td>JARDINES DE LA MESA,Tijuana,Mexico</td>\n",
       "      <td>(Jardines, Calle Mar De Cortés, Constitución d...</td>\n",
       "      <td>(32.49016, -116.922158, 0.0)</td>\n",
       "      <td>32.490160</td>\n",
       "      <td>-116.922158</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>LIBERTAD PARTE BAJA</td>\n",
       "      <td>105</td>\n",
       "      <td>LIBERTAD PARTE BAJA,Tijuana,Mexico</td>\n",
       "      <td>(Cañón Johnson Sur Parte Baja, Cima, Tijuana, ...</td>\n",
       "      <td>(32.5042674, -117.0437694, 0.0)</td>\n",
       "      <td>32.504267</td>\n",
       "      <td>-117.043769</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>POBLADO EJIDO MATAMOROS</td>\n",
       "      <td>105</td>\n",
       "      <td>POBLADO EJIDO MATAMOROS,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>HACIENDA LAS FUENTES</td>\n",
       "      <td>104</td>\n",
       "      <td>HACIENDA LAS FUENTES,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>LOS LOBOS</td>\n",
       "      <td>102</td>\n",
       "      <td>LOS LOBOS,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>VILLAS DE BAJA CALIFORNIA</td>\n",
       "      <td>101</td>\n",
       "      <td>VILLAS DE BAJA CALIFORNIA,Tijuana,Mexico</td>\n",
       "      <td>(Hyspan de México, Privada Villas de San Anton...</td>\n",
       "      <td>(32.476142, -117.03845768130552, 0.0)</td>\n",
       "      <td>32.476142</td>\n",
       "      <td>-117.038458</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>CIUDAD JARDIN</td>\n",
       "      <td>101</td>\n",
       "      <td>CIUDAD JARDIN,Tijuana,Mexico</td>\n",
       "      <td>(Ciudad Jardín, Tijuana, Municipio de Tijuana,...</td>\n",
       "      <td>(32.5117637, -117.063674, 0.0)</td>\n",
       "      <td>32.511764</td>\n",
       "      <td>-117.063674</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ALTAMIRA</td>\n",
       "      <td>100</td>\n",
       "      <td>ALTAMIRA,Tijuana,Mexico</td>\n",
       "      <td>(Lima, Francisco Villa, Tijuana, Municipio de ...</td>\n",
       "      <td>(32.5246529, -117.0541656, 0.0)</td>\n",
       "      <td>32.524653</td>\n",
       "      <td>-117.054166</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>GUADALUPE VICTORIA</td>\n",
       "      <td>97</td>\n",
       "      <td>GUADALUPE VICTORIA,Tijuana,Mexico</td>\n",
       "      <td>(Guadalupe Victoria, El Porvenir, Tijuana, Mun...</td>\n",
       "      <td>(32.4504293, -116.9448468, 0.0)</td>\n",
       "      <td>32.450429</td>\n",
       "      <td>-116.944847</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>96</td>\n",
       "      <td>ALEMAN,Tijuana,Mexico</td>\n",
       "      <td>(Xicotencatl Leyva Alemán, Tijuana, Municipio ...</td>\n",
       "      <td>(32.5197707, -117.0996153, 0.0)</td>\n",
       "      <td>32.519771</td>\n",
       "      <td>-117.099615</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>CAMPOS</td>\n",
       "      <td>94</td>\n",
       "      <td>CAMPOS,Tijuana,Mexico</td>\n",
       "      <td>(Campos de Baseball Otay, Misiones de Pedregal...</td>\n",
       "      <td>(32.536840549999994, -116.9461553311748, 0.0)</td>\n",
       "      <td>32.536841</td>\n",
       "      <td>-116.946155</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              NEIGHBORHOOD_OF_THE_CRIME  counts  \\\n",
       "52                             ZONA RIO     163   \n",
       "53                           LOS SANTOS     162   \n",
       "54                  URBIVILLA DEL PRADO     160   \n",
       "55                EL DORADO RESIDENCIAL     158   \n",
       "56                   EJIDO CHILPANCINGO     158   \n",
       "57                      VILLA DEL ALAMO     155   \n",
       "58                       GARITA DE OTAY     154   \n",
       "59                    EJIDO OJO DE AGUA     153   \n",
       "60                URBIVILLA DEL PRADO 2     152   \n",
       "61                          EL TECOLOTE     152   \n",
       "62   SECCION JARDINES PLAYAS DE TIJUANA     148   \n",
       "63                      LAZARO CARDENAS     144   \n",
       "64                     OTAY UNIVERSIDAD     142   \n",
       "65                     VILLA DEL REAL I     141   \n",
       "66                        INDEPENDENCIA     140   \n",
       "67              PORTICOS DE SAN ANTONIO     139   \n",
       "68                          PRESIDENTES     139   \n",
       "69                          EMPERADORES     137   \n",
       "70                            LOS REYES     136   \n",
       "71                  CAÑADAS DEL FLORIDO     136   \n",
       "72                EJIDO LAZARO CARDENAS     134   \n",
       "73                             AVIACION     130   \n",
       "74                          SALVATIERRA     129   \n",
       "75                  LOMAS DEL MATAMOROS     123   \n",
       "76                           EL MIRADOR     120   \n",
       "77               RESIDENCIAL DEL BOSQUE     120   \n",
       "78                              LA JOYA     119   \n",
       "79                             SANTA FE     118   \n",
       "80                ANEXA 20 DE NOVIEMBRE     118   \n",
       "81                  OTAY CONSTITUYENTES     118   \n",
       "82                        VILLA FONTANA     116   \n",
       "83                         TOMAS AQUINO     114   \n",
       "84                     LAS DELICIAS III     110   \n",
       "85    AGUAJE DE LA TUNA PRIMERA SECCION     109   \n",
       "86                             SAN LUIS     109   \n",
       "87                      VILLA DEL CAMPO     108   \n",
       "88                    PLAYAS DE TIJUANA     108   \n",
       "89                           LA CIENEGA     108   \n",
       "90                    LOMAS DE LA PRESA     106   \n",
       "91                  JARDINES DE LA MESA     106   \n",
       "92                  LIBERTAD PARTE BAJA     105   \n",
       "93              POBLADO EJIDO MATAMOROS     105   \n",
       "94                 HACIENDA LAS FUENTES     104   \n",
       "95                            LOS LOBOS     102   \n",
       "96            VILLAS DE BAJA CALIFORNIA     101   \n",
       "97                        CIUDAD JARDIN     101   \n",
       "98                             ALTAMIRA     100   \n",
       "99                   GUADALUPE VICTORIA      97   \n",
       "100                              ALEMAN      96   \n",
       "101                              CAMPOS      94   \n",
       "\n",
       "                                               ADDRESS  \\\n",
       "52                             ZONA RIO,Tijuana,Mexico   \n",
       "53                           LOS SANTOS,Tijuana,Mexico   \n",
       "54                  URBIVILLA DEL PRADO,Tijuana,Mexico   \n",
       "55                EL DORADO RESIDENCIAL,Tijuana,Mexico   \n",
       "56                   EJIDO CHILPANCINGO,Tijuana,Mexico   \n",
       "57                      VILLA DEL ALAMO,Tijuana,Mexico   \n",
       "58                       GARITA DE OTAY,Tijuana,Mexico   \n",
       "59                    EJIDO OJO DE AGUA,Tijuana,Mexico   \n",
       "60                URBIVILLA DEL PRADO 2,Tijuana,Mexico   \n",
       "61                          EL TECOLOTE,Tijuana,Mexico   \n",
       "62   SECCION JARDINES PLAYAS DE TIJUANA,Tijuana,Mexico   \n",
       "63                      LAZARO CARDENAS,Tijuana,Mexico   \n",
       "64                     OTAY UNIVERSIDAD,Tijuana,Mexico   \n",
       "65                     VILLA DEL REAL I,Tijuana,Mexico   \n",
       "66                        INDEPENDENCIA,Tijuana,Mexico   \n",
       "67              PORTICOS DE SAN ANTONIO,Tijuana,Mexico   \n",
       "68                          PRESIDENTES,Tijuana,Mexico   \n",
       "69                          EMPERADORES,Tijuana,Mexico   \n",
       "70                            LOS REYES,Tijuana,Mexico   \n",
       "71                  CAÑADAS DEL FLORIDO,Tijuana,Mexico   \n",
       "72                EJIDO LAZARO CARDENAS,Tijuana,Mexico   \n",
       "73                             AVIACION,Tijuana,Mexico   \n",
       "74                          SALVATIERRA,Tijuana,Mexico   \n",
       "75                  LOMAS DEL MATAMOROS,Tijuana,Mexico   \n",
       "76                           EL MIRADOR,Tijuana,Mexico   \n",
       "77               RESIDENCIAL DEL BOSQUE,Tijuana,Mexico   \n",
       "78                              LA JOYA,Tijuana,Mexico   \n",
       "79                             SANTA FE,Tijuana,Mexico   \n",
       "80                ANEXA 20 DE NOVIEMBRE,Tijuana,Mexico   \n",
       "81                  OTAY CONSTITUYENTES,Tijuana,Mexico   \n",
       "82                        VILLA FONTANA,Tijuana,Mexico   \n",
       "83                         TOMAS AQUINO,Tijuana,Mexico   \n",
       "84                     LAS DELICIAS III,Tijuana,Mexico   \n",
       "85    AGUAJE DE LA TUNA PRIMERA SECCION,Tijuana,Mexico   \n",
       "86                             SAN LUIS,Tijuana,Mexico   \n",
       "87                      VILLA DEL CAMPO,Tijuana,Mexico   \n",
       "88                    PLAYAS DE TIJUANA,Tijuana,Mexico   \n",
       "89                           LA CIENEGA,Tijuana,Mexico   \n",
       "90                    LOMAS DE LA PRESA,Tijuana,Mexico   \n",
       "91                  JARDINES DE LA MESA,Tijuana,Mexico   \n",
       "92                  LIBERTAD PARTE BAJA,Tijuana,Mexico   \n",
       "93              POBLADO EJIDO MATAMOROS,Tijuana,Mexico   \n",
       "94                 HACIENDA LAS FUENTES,Tijuana,Mexico   \n",
       "95                            LOS LOBOS,Tijuana,Mexico   \n",
       "96            VILLAS DE BAJA CALIFORNIA,Tijuana,Mexico   \n",
       "97                        CIUDAD JARDIN,Tijuana,Mexico   \n",
       "98                             ALTAMIRA,Tijuana,Mexico   \n",
       "99                   GUADALUPE VICTORIA,Tijuana,Mexico   \n",
       "100                              ALEMAN,Tijuana,Mexico   \n",
       "101                              CAMPOS,Tijuana,Mexico   \n",
       "\n",
       "                                              location  \\\n",
       "52   (Zona Urbana Río Tijuana, Tijuana, Municipio d...   \n",
       "53                                                None   \n",
       "54                                                None   \n",
       "55   (Autopista Tijuana-Ensenada, Costa Coronado Re...   \n",
       "56   (Calle Ejido Chilpancingo, Valencia, Jardín Do...   \n",
       "57   (Villa del Alamo, El Porvenir, San Luis, Munic...   \n",
       "58   (Boulevard Garita de Otay, Otay Vista, Misione...   \n",
       "59   (Ejido Ojo de Agua, El Florido, Ejido Maclovio...   \n",
       "60                                                None   \n",
       "61   (Calle Tecolote, El Escondido, Planicie, Tijua...   \n",
       "62                                                None   \n",
       "63   (Lázaro Cárdenas, Tijuana, Municipio de Tijuan...   \n",
       "64   (Otay Universidad, Tijuana, Municipio de Tijua...   \n",
       "65                                                None   \n",
       "66   (Independencia, 18 de Marzo, El Porvenir, Tiju...   \n",
       "67   (Pórticos de San Antonio, Municipio de Tijuana...   \n",
       "68   (INFONAVIT Presidentes, El Porvenir, Tijuana, ...   \n",
       "69   (Emperadores, Misiones de Pedregal Fraccionami...   \n",
       "70                                                None   \n",
       "71                                                None   \n",
       "72                                                None   \n",
       "73   (Aviación, Misiones de Pedregal Fraccionamient...   \n",
       "74   (Salvatierra, Tijuana, Municipio de Tijuana, B...   \n",
       "75                                                None   \n",
       "76   (El Mirador, Altiplano 5ta, Villa del Sol Cuar...   \n",
       "77                                                None   \n",
       "78   (La Joya, Municipio de Tijuana, Baja Californi...   \n",
       "79   (Santa Fe, Villa Residencial Santa Fe 1ra Secc...   \n",
       "80                                                None   \n",
       "81   (Otay Constituyentes, Misiones de Pedregal Fra...   \n",
       "82   (Villa Fontana, El Dorado, Valle Verde, Tijuan...   \n",
       "83   (Tomas Aquino, Tijuana, Municipio de Tijuana, ...   \n",
       "84   (Las Delicias, Municipio de Tijuana, Baja Cali...   \n",
       "85                                                None   \n",
       "86   (San Luis, Municipio de Tijuana, Baja Californ...   \n",
       "87   (Villa del Campo, Municipio de Tijuana, Baja C...   \n",
       "88   (Playas de Tijuana, Calle Colima, Playas de Ti...   \n",
       "89   (La Ciénega, El Porvenir, Tijuana, Municipio d...   \n",
       "90                                                None   \n",
       "91   (Jardines, Calle Mar De Cortés, Constitución d...   \n",
       "92   (Cañón Johnson Sur Parte Baja, Cima, Tijuana, ...   \n",
       "93                                                None   \n",
       "94                                                None   \n",
       "95                                                None   \n",
       "96   (Hyspan de México, Privada Villas de San Anton...   \n",
       "97   (Ciudad Jardín, Tijuana, Municipio de Tijuana,...   \n",
       "98   (Lima, Francisco Villa, Tijuana, Municipio de ...   \n",
       "99   (Guadalupe Victoria, El Porvenir, Tijuana, Mun...   \n",
       "100  (Xicotencatl Leyva Alemán, Tijuana, Municipio ...   \n",
       "101  (Campos de Baseball Otay, Misiones de Pedregal...   \n",
       "\n",
       "                                             point   latitude   longitude  \\\n",
       "52         (32.52963695, -117.01986845015388, 0.0)  32.529637 -117.019868   \n",
       "53                                            None        NaN         NaN   \n",
       "54                                            None        NaN         NaN   \n",
       "55                 (32.5140884, -117.1096189, 0.0)  32.514088 -117.109619   \n",
       "56                 (32.5150341, -116.9028488, 0.0)  32.515034 -116.902849   \n",
       "57          (32.4337319, -116.94340113729231, 0.0)  32.433732 -116.943401   \n",
       "58                 (32.5255214, -116.9339484, 0.0)  32.525521 -116.933948   \n",
       "59                  (32.4753187, -116.788711, 0.0)  32.475319 -116.788711   \n",
       "60                                            None        NaN         NaN   \n",
       "61                 (32.5530058, -116.8816674, 0.0)  32.553006 -116.881667   \n",
       "62                                            None        NaN         NaN   \n",
       "63                 (32.5266021, -117.0986317, 0.0)  32.526602 -117.098632   \n",
       "64         (32.52722345, -116.97483435569566, 0.0)  32.527223 -116.974834   \n",
       "65                                            None        NaN         NaN   \n",
       "66                  (32.4779492, -116.937688, 0.0)  32.477949 -116.937688   \n",
       "67                 (32.4406334, -117.0322012, 0.0)  32.440633 -117.032201   \n",
       "68         (32.49070405, -116.90635142395871, 0.0)  32.490704 -116.906351   \n",
       "69                 (32.4864045, -116.9663788, 0.0)  32.486404 -116.966379   \n",
       "70                                            None        NaN         NaN   \n",
       "71                                            None        NaN         NaN   \n",
       "72                                            None        NaN         NaN   \n",
       "73                 (32.5134672, -117.0083679, 0.0)  32.513467 -117.008368   \n",
       "74                 (32.4829489, -117.0720732, 0.0)  32.482949 -117.072073   \n",
       "75                                            None        NaN         NaN   \n",
       "76                 (32.5157821, -116.8356843, 0.0)  32.515782 -116.835684   \n",
       "77                                            None        NaN         NaN   \n",
       "78                 (32.4448306, -117.0033708, 0.0)  32.444831 -117.003371   \n",
       "79                 (32.4472379, -117.0420699, 0.0)  32.447238 -117.042070   \n",
       "80                                            None        NaN         NaN   \n",
       "81                 (32.5293228, -116.9466581, 0.0)  32.529323 -116.946658   \n",
       "82                 (32.5065109, -116.8719097, 0.0)  32.506511 -116.871910   \n",
       "83         (32.52836235, -116.98609895776369, 0.0)  32.528362 -116.986099   \n",
       "84                 (32.4059884, -116.9413012, 0.0)  32.405988 -116.941301   \n",
       "85                                            None        NaN         NaN   \n",
       "86                 (32.4285403, -116.9543611, 0.0)  32.428540 -116.954361   \n",
       "87                 (32.5081727, -116.7365324, 0.0)  32.508173 -116.736532   \n",
       "88                   (32.531755, -117.116418, 0.0)  32.531755 -117.116418   \n",
       "89                 (32.4882194, -116.9391823, 0.0)  32.488219 -116.939182   \n",
       "90                                            None        NaN         NaN   \n",
       "91                    (32.49016, -116.922158, 0.0)  32.490160 -116.922158   \n",
       "92                 (32.5042674, -117.0437694, 0.0)  32.504267 -117.043769   \n",
       "93                                            None        NaN         NaN   \n",
       "94                                            None        NaN         NaN   \n",
       "95                                            None        NaN         NaN   \n",
       "96           (32.476142, -117.03845768130552, 0.0)  32.476142 -117.038458   \n",
       "97                  (32.5117637, -117.063674, 0.0)  32.511764 -117.063674   \n",
       "98                 (32.5246529, -117.0541656, 0.0)  32.524653 -117.054166   \n",
       "99                 (32.4504293, -116.9448468, 0.0)  32.450429 -116.944847   \n",
       "100                (32.5197707, -117.0996153, 0.0)  32.519771 -117.099615   \n",
       "101  (32.536840549999994, -116.9461553311748, 0.0)  32.536841 -116.946155   \n",
       "\n",
       "     altitude  \n",
       "52        0.0  \n",
       "53        NaN  \n",
       "54        NaN  \n",
       "55        0.0  \n",
       "56        0.0  \n",
       "57        0.0  \n",
       "58        0.0  \n",
       "59        0.0  \n",
       "60        NaN  \n",
       "61        0.0  \n",
       "62        NaN  \n",
       "63        0.0  \n",
       "64        0.0  \n",
       "65        NaN  \n",
       "66        0.0  \n",
       "67        0.0  \n",
       "68        0.0  \n",
       "69        0.0  \n",
       "70        NaN  \n",
       "71        NaN  \n",
       "72        NaN  \n",
       "73        0.0  \n",
       "74        0.0  \n",
       "75        NaN  \n",
       "76        0.0  \n",
       "77        NaN  \n",
       "78        0.0  \n",
       "79        0.0  \n",
       "80        NaN  \n",
       "81        0.0  \n",
       "82        0.0  \n",
       "83        0.0  \n",
       "84        0.0  \n",
       "85        NaN  \n",
       "86        0.0  \n",
       "87        0.0  \n",
       "88        0.0  \n",
       "89        0.0  \n",
       "90        NaN  \n",
       "91        0.0  \n",
       "92        0.0  \n",
       "93        NaN  \n",
       "94        NaN  \n",
       "95        NaN  \n",
       "96        0.0  \n",
       "97        0.0  \n",
       "98        0.0  \n",
       "99        0.0  \n",
       "100       0.0  \n",
       "101       0.0  "
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail(50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Putting manually the coordinates that geopy couldn't find"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.at[5, 'latitude'] = 32.4655 #El Florido 1ra y 2da Secc \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[5, 'longitude'] = -116.8748\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[8, 'latitude'] = 32.5067 #RIO TIJUANA TERCERA ETAPA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[8, 'longitude'] = -116.9411\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[10, 'latitude'] = 32.516285 #EJIDO FRANCISCO VILLA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[10, 'longitude'] = -116.895486\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[24, 'latitude'] = 32.5070 #BUENOS AIRES SUR \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[24, 'longitude'] = -116.8940\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[26, 'latitude'] = 32.4070 #FRACC HCDA LAS DELICIAS\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[26, 'longitude'] = -116.9411\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[30, 'latitude'] = 32.5171 #BUENOS AIRES NORTE\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[30, 'longitude'] = -116.9013\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[32, 'latitude'] = 32.4651 #Anexa loma dorada\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[32, 'longitude'] = -116.9466\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[33, 'latitude'] = 32.4936 #PEDREGAL DE SANTA JULIA \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[33, 'longitude'] = -117.0603\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[36, 'latitude'] = 32.5235 #CAMPESTRE MURUA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[36, 'longitude'] = -116.9308\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[41, 'latitude'] = 32.5415 #10 de mayo\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[41, 'longitude'] = -116.8866\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[42, 'latitude'] = 32.4955 #BAJA MAQ. EL AGUILA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[42, 'longitude'] = -116.9043\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[53, 'latitude'] = 32.5106 #LOS SANTOS\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[53, 'longitude'] = -116.9668\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[54, 'latitude'] = 32.4078 #URBIVILLA DEL PRADO  \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[54, 'longitude'] = -116.9661\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[60, 'latitude'] = 32.4229#URBIVILLA DEL PRADO 2  \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[60, 'longitude'] = -116.9691\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[62, 'latitude'] = 31.7272 #SECCION JARDINES PLAYAS DE TIJUANA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[62, 'longitude'] = -116.0175\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[65, 'latitude'] = 32.5130 #Villa del real I\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[65, 'longitude'] = -116.8594\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[70, 'latitude'] = 32.4567 #LOS REYES\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[70, 'longitude'] = -116.9249\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[71, 'latitude'] = 32.4643 #CAÑADAS DEL FLORIDO \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[71, 'longitude'] = -116.8572\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[72, 'latitude'] = 32.4350 #EJIDO LAZARO CARDENAS \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[72, 'longitude'] = -117.0073\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[75, 'latitude'] = 32.5147 #LOMAS DEL MATAMOROS\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[75, 'longitude'] = -116.8778\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[77, 'latitude'] = 32.5124#Residencial del bosque\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[77, 'longitude'] = -116.8307\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[80, 'latitude'] = 32.5134 #Anexa 20 de Noviembre\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[80, 'longitude'] = -116.9830\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[85, 'latitude'] = 32.4762 #Aguaje de la Tuna\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[85, 'longitude'] = -117.0081\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[90, 'latitude'] = 32.4488 #LOMAS DE LA PRESA\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[90, 'longitude'] = -116.9249\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[93, 'latitude'] = 32.5180 #POBLADO EJIDO MATAMOROS  \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[93, 'longitude'] = -116.8550\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[95, 'latitude'] = 32.5026 #LOS LOBOS \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.at[95, 'longitude'] = -116.8991\n",
    "\n",
    "#colonias_mas_violentas3.at[62, 'latitude'] = 32.4827 #JARDINES DEL RUBI \n",
    "#colonias_mas_violentas3.at[62, 'longitude'] = -117.0279\n",
    "\n",
    "#colonias_mas_violentas3.at[77, 'latitude'] = 32.5203 #INFONAVIT LOMAS DEL PORVENIR \n",
    "#colonias_mas_violentas3.at[77, 'longitude'] = -117.0691\n",
    "\n",
    "#colonias_mas_violentas3.at[86, 'latitude'] = 32.5120 #SECCION COSTA HERMOSA \n",
    "#colonias_mas_violentas3.at[86, 'longitude'] = -117.1162\n",
    "\n",
    "#colonias_mas_violentas3.at[90, 'latitude'] = 32.4856 #RESIDENCIAL AGUA CALIENTE\n",
    "#colonias_mas_violentas3.at[90, 'longitude'] = -116.9926"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop([20], axis=0) #Foranea\n",
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop([94], axis=0) #HACIENDA LAS FUENTES "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE  = NEIGHBORHOOD_MORE_VIOLENCE.reset_index()\n",
    "del NEIGHBORHOOD_MORE_VIOLENCE['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "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>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>point</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>altitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>CIUDAD JARDIN</td>\n",
       "      <td>101</td>\n",
       "      <td>CIUDAD JARDIN,Tijuana,Mexico</td>\n",
       "      <td>(Ciudad Jardín, Tijuana, Municipio de Tijuana,...</td>\n",
       "      <td>(32.5117637, -117.063674, 0.0)</td>\n",
       "      <td>32.511764</td>\n",
       "      <td>-117.063674</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>ALTAMIRA</td>\n",
       "      <td>100</td>\n",
       "      <td>ALTAMIRA,Tijuana,Mexico</td>\n",
       "      <td>(Lima, Francisco Villa, Tijuana, Municipio de ...</td>\n",
       "      <td>(32.5246529, -117.0541656, 0.0)</td>\n",
       "      <td>32.524653</td>\n",
       "      <td>-117.054166</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>GUADALUPE VICTORIA</td>\n",
       "      <td>97</td>\n",
       "      <td>GUADALUPE VICTORIA,Tijuana,Mexico</td>\n",
       "      <td>(Guadalupe Victoria, El Porvenir, Tijuana, Mun...</td>\n",
       "      <td>(32.4504293, -116.9448468, 0.0)</td>\n",
       "      <td>32.450429</td>\n",
       "      <td>-116.944847</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ALEMAN</td>\n",
       "      <td>96</td>\n",
       "      <td>ALEMAN,Tijuana,Mexico</td>\n",
       "      <td>(Xicotencatl Leyva Alemán, Tijuana, Municipio ...</td>\n",
       "      <td>(32.5197707, -117.0996153, 0.0)</td>\n",
       "      <td>32.519771</td>\n",
       "      <td>-117.099615</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>CAMPOS</td>\n",
       "      <td>94</td>\n",
       "      <td>CAMPOS,Tijuana,Mexico</td>\n",
       "      <td>(Campos de Baseball Otay, Misiones de Pedregal...</td>\n",
       "      <td>(32.536840549999994, -116.9461553311748, 0.0)</td>\n",
       "      <td>32.536841</td>\n",
       "      <td>-116.946155</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   NEIGHBORHOOD_OF_THE_CRIME  counts                            ADDRESS  \\\n",
       "95             CIUDAD JARDIN     101       CIUDAD JARDIN,Tijuana,Mexico   \n",
       "96                  ALTAMIRA     100            ALTAMIRA,Tijuana,Mexico   \n",
       "97        GUADALUPE VICTORIA      97  GUADALUPE VICTORIA,Tijuana,Mexico   \n",
       "98                    ALEMAN      96              ALEMAN,Tijuana,Mexico   \n",
       "99                    CAMPOS      94              CAMPOS,Tijuana,Mexico   \n",
       "\n",
       "                                             location  \\\n",
       "95  (Ciudad Jardín, Tijuana, Municipio de Tijuana,...   \n",
       "96  (Lima, Francisco Villa, Tijuana, Municipio de ...   \n",
       "97  (Guadalupe Victoria, El Porvenir, Tijuana, Mun...   \n",
       "98  (Xicotencatl Leyva Alemán, Tijuana, Municipio ...   \n",
       "99  (Campos de Baseball Otay, Misiones de Pedregal...   \n",
       "\n",
       "                                            point   latitude   longitude  \\\n",
       "95                 (32.5117637, -117.063674, 0.0)  32.511764 -117.063674   \n",
       "96                (32.5246529, -117.0541656, 0.0)  32.524653 -117.054166   \n",
       "97                (32.4504293, -116.9448468, 0.0)  32.450429 -116.944847   \n",
       "98                (32.5197707, -117.0996153, 0.0)  32.519771 -117.099615   \n",
       "99  (32.536840549999994, -116.9461553311748, 0.0)  32.536841 -116.946155   \n",
       "\n",
       "    altitude  \n",
       "95       0.0  \n",
       "96       0.0  \n",
       "97       0.0  \n",
       "98       0.0  \n",
       "99       0.0  "
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop(NEIGHBORHOOD_MORE_VIOLENCE.columns[[7]], axis=1) \n",
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop(NEIGHBORHOOD_MORE_VIOLENCE.columns[[4]], axis=1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "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>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZONA CENTRO</td>\n",
       "      <td>1502</td>\n",
       "      <td>ZONA CENTRO,Tijuana,Mexico</td>\n",
       "      <td>(Zona Centro, Tijuana, Municipio de Tijuana, B...</td>\n",
       "      <td>32.532928</td>\n",
       "      <td>-117.036843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MARIANO MATAMOROS</td>\n",
       "      <td>1033</td>\n",
       "      <td>MARIANO MATAMOROS,Tijuana,Mexico</td>\n",
       "      <td>(Mariano Matamoros, SN, Calle Alicante, Otay C...</td>\n",
       "      <td>32.513355</td>\n",
       "      <td>-116.945469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZONA URBANA RIO TIJUANA</td>\n",
       "      <td>863</td>\n",
       "      <td>ZONA URBANA RIO TIJUANA,Tijuana,Mexico</td>\n",
       "      <td>(Zona Urbana Río Tijuana, Tijuana, Municipio d...</td>\n",
       "      <td>32.529637</td>\n",
       "      <td>-117.019868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CAMINO VERDE</td>\n",
       "      <td>544</td>\n",
       "      <td>CAMINO VERDE,Tijuana,Mexico</td>\n",
       "      <td>(Mexico, SN, Avenida Melchor Ocampo, Ejido Mat...</td>\n",
       "      <td>32.516067</td>\n",
       "      <td>-116.858502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MARIANO MATAMOROS NORTE</td>\n",
       "      <td>500</td>\n",
       "      <td>MARIANO MATAMOROS NORTE,Tijuana,Mexico</td>\n",
       "      <td>(Mariano Matamoros, SN, Calle Alicante, Otay C...</td>\n",
       "      <td>32.513355</td>\n",
       "      <td>-116.945469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  NEIGHBORHOOD_OF_THE_CRIME  counts                                 ADDRESS  \\\n",
       "0               ZONA CENTRO    1502              ZONA CENTRO,Tijuana,Mexico   \n",
       "1         MARIANO MATAMOROS    1033        MARIANO MATAMOROS,Tijuana,Mexico   \n",
       "2   ZONA URBANA RIO TIJUANA     863  ZONA URBANA RIO TIJUANA,Tijuana,Mexico   \n",
       "3              CAMINO VERDE     544             CAMINO VERDE,Tijuana,Mexico   \n",
       "4   MARIANO MATAMOROS NORTE     500  MARIANO MATAMOROS NORTE,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \n",
       "0  (Zona Centro, Tijuana, Municipio de Tijuana, B...  32.532928 -117.036843  \n",
       "1  (Mariano Matamoros, SN, Calle Alicante, Otay C...  32.513355 -116.945469  \n",
       "2  (Zona Urbana Río Tijuana, Tijuana, Municipio d...  32.529637 -117.019868  \n",
       "3  (Mexico, SN, Avenida Melchor Ocampo, Ejido Mat...  32.516067 -116.858502  \n",
       "4  (Mariano Matamoros, SN, Calle Alicante, Otay C...  32.513355 -116.945469  "
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.to_csv(\"100_NEIGHBORHOOD_MORE_VIOLENT_Counts_Crimes_with_coordinates_tijuana_from_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CRIME CLASSIFICATION NEIGHBORHOODS WITH MORE VIOLENCE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE =test4.merge(NEIGHBORHOOD_MORE_VIOLENCE,indicator=True,how='left')\n",
    "\n",
    "NEIGHBORHOOD_MORE_VIOLENCE._merge=NEIGHBORHOOD_MORE_VIOLENCE._merge.eq('both')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>VILLA DEL REAL III</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>19:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RESIDENTIAL BURGLARY</td>\n",
       "      <td>LOMAS DE LA AMISTAD</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>EMPERADORES,Tijuana,Mexico</td>\n",
       "      <td>(Emperadores, Misiones de Pedregal Fraccionami...</td>\n",
       "      <td>32.486404</td>\n",
       "      <td>-116.966379</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.512400</td>\n",
       "      <td>-116.830700</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0                         VEHICLE THEFT        VILLA DEL REAL III   \n",
       "1                  RESIDENTIAL BURGLARY       LOMAS DE LA AMISTAD   \n",
       "2  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "3                         VEHICLE THEFT               EMPERADORES   \n",
       "4                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             19:00   TIJUANA        2018-12-31   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "4                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  counts  \\\n",
       "0      Monday  2018     12   31  19.0     NaN   \n",
       "1     Tuesday  2019      1    1   2.0     NaN   \n",
       "2     Tuesday  2019      1    1   2.0   195.0   \n",
       "3     Tuesday  2019      1    1   2.0   137.0   \n",
       "4      Monday  2018     12   31  23.0   120.0   \n",
       "\n",
       "                                 ADDRESS  \\\n",
       "0                                    NaN   \n",
       "1                                    NaN   \n",
       "2            3 DE OCTUBRE,Tijuana,Mexico   \n",
       "3             EMPERADORES,Tijuana,Mexico   \n",
       "4  RESIDENCIAL DEL BOSQUE,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \\\n",
       "0                                                NaN        NaN         NaN   \n",
       "1                                                NaN        NaN         NaN   \n",
       "2  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183   \n",
       "3  (Emperadores, Misiones de Pedregal Fraccionami...  32.486404 -116.966379   \n",
       "4                                               None  32.512400 -116.830700   \n",
       "\n",
       "   _merge  \n",
       "0   False  \n",
       "1   False  \n",
       "2    True  \n",
       "3    True  \n",
       "4    True  "
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(136082, 17)"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.dropna(subset=[\"counts\"], axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(70296, 17)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.reset_index()\n",
    "del NEIGHBORHOOD_MORE_VIOLENCE['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>EMPERADORES,Tijuana,Mexico</td>\n",
       "      <td>(Emperadores, Misiones de Pedregal Fraccionami...</td>\n",
       "      <td>32.486404</td>\n",
       "      <td>-116.966379</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.512400</td>\n",
       "      <td>-116.830700</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>SANCHEZ TABOADA,Tijuana,Mexico</td>\n",
       "      <td>(Del. Sanchez Taboada, La Joya, Municipio de T...</td>\n",
       "      <td>32.458767</td>\n",
       "      <td>-117.003325</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EL LAGO</td>\n",
       "      <td>17/01/19</td>\n",
       "      <td>07:33</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-17</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>7.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>EL LAGO,Tijuana,Mexico</td>\n",
       "      <td>(Canalización, Calle Vía Rápida Poniente, Cons...</td>\n",
       "      <td>32.513839</td>\n",
       "      <td>-116.968790</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "1                         VEHICLE THEFT               EMPERADORES   \n",
       "2                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "3                     HOMICIDE(VIOLENT)           SANCHEZ TABOADA   \n",
       "4                         VEHICLE THEFT                   EL LAGO   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "3                    01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "4                    17/01/19             07:33   TIJUANA        2019-01-17   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  counts  \\\n",
       "0     Tuesday  2019      1    1   2.0   195.0   \n",
       "1     Tuesday  2019      1    1   2.0   137.0   \n",
       "2      Monday  2018     12   31  23.0   120.0   \n",
       "3     Tuesday  2019      1    1   1.0   376.0   \n",
       "4    Thursday  2019      1   17   7.0   270.0   \n",
       "\n",
       "                                 ADDRESS  \\\n",
       "0            3 DE OCTUBRE,Tijuana,Mexico   \n",
       "1             EMPERADORES,Tijuana,Mexico   \n",
       "2  RESIDENCIAL DEL BOSQUE,Tijuana,Mexico   \n",
       "3         SANCHEZ TABOADA,Tijuana,Mexico   \n",
       "4                 EL LAGO,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \\\n",
       "0  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183   \n",
       "1  (Emperadores, Misiones de Pedregal Fraccionami...  32.486404 -116.966379   \n",
       "2                                               None  32.512400 -116.830700   \n",
       "3  (Del. Sanchez Taboada, La Joya, Municipio de T...  32.458767 -117.003325   \n",
       "4  (Canalización, Calle Vía Rápida Poniente, Cons...  32.513839 -116.968790   \n",
       "\n",
       "   _merge  \n",
       "0    True  \n",
       "1    True  \n",
       "2    True  \n",
       "3    True  \n",
       "4    True  "
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EMPERADORES</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:00</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>EMPERADORES,Tijuana,Mexico</td>\n",
       "      <td>(Emperadores, Misiones de Pedregal Fraccionami...</td>\n",
       "      <td>32.486404</td>\n",
       "      <td>-116.966379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNLAWFUL WOUNDING</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>23:21</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2018-12-31</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2018</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>RESIDENCIAL DEL BOSQUE,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.512400</td>\n",
       "      <td>-116.830700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>SANCHEZ TABOADA,Tijuana,Mexico</td>\n",
       "      <td>(Del. Sanchez Taboada, La Joya, Municipio de T...</td>\n",
       "      <td>32.458767</td>\n",
       "      <td>-117.003325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VEHICLE THEFT</td>\n",
       "      <td>EL LAGO</td>\n",
       "      <td>17/01/19</td>\n",
       "      <td>07:33</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-17</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>7.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>EL LAGO,Tijuana,Mexico</td>\n",
       "      <td>(Canalización, Calle Vía Rápida Poniente, Cons...</td>\n",
       "      <td>32.513839</td>\n",
       "      <td>-116.968790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0  THEFT WITH VIOLENCE(IN PUBLIC AREAS)              3 DE OCTUBRE   \n",
       "1                         VEHICLE THEFT               EMPERADORES   \n",
       "2                     UNLAWFUL WOUNDING    RESIDENCIAL DEL BOSQUE   \n",
       "3                     HOMICIDE(VIOLENT)           SANCHEZ TABOADA   \n",
       "4                         VEHICLE THEFT                   EL LAGO   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "1                    01/01/19             02:00   TIJUANA        2019-01-01   \n",
       "2                    01/01/19             23:21   TIJUANA        2018-12-31   \n",
       "3                    01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "4                    17/01/19             07:33   TIJUANA        2019-01-17   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  counts  \\\n",
       "0     Tuesday  2019      1    1   2.0   195.0   \n",
       "1     Tuesday  2019      1    1   2.0   137.0   \n",
       "2      Monday  2018     12   31  23.0   120.0   \n",
       "3     Tuesday  2019      1    1   1.0   376.0   \n",
       "4    Thursday  2019      1   17   7.0   270.0   \n",
       "\n",
       "                                 ADDRESS  \\\n",
       "0            3 DE OCTUBRE,Tijuana,Mexico   \n",
       "1             EMPERADORES,Tijuana,Mexico   \n",
       "2  RESIDENCIAL DEL BOSQUE,Tijuana,Mexico   \n",
       "3         SANCHEZ TABOADA,Tijuana,Mexico   \n",
       "4                 EL LAGO,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \n",
       "0  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183  \n",
       "1  (Emperadores, Misiones de Pedregal Fraccionami...  32.486404 -116.966379  \n",
       "2                                               None  32.512400 -116.830700  \n",
       "3  (Del. Sanchez Taboada, La Joya, Municipio de T...  32.458767 -117.003325  \n",
       "4  (Canalización, Calle Vía Rápida Poniente, Cons...  32.513839 -116.968790  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE = NEIGHBORHOOD_MORE_VIOLENCE.drop(NEIGHBORHOOD_MORE_VIOLENCE.columns[[16]], axis=1) \n",
    "NEIGHBORHOOD_MORE_VIOLENCE.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CRIME_CLASSIFICATION\n",
      "False    70296\n",
      "Name: CRIME_CLASSIFICATION, dtype: int64\n",
      "\n",
      "NEIGHBORHOOD_OF_THE_CRIME\n",
      "False    70296\n",
      "Name: NEIGHBORHOOD_OF_THE_CRIME, dtype: int64\n",
      "\n",
      "DATE OF RECORD OF THE CRIME\n",
      "False    70296\n",
      "Name: DATE OF RECORD OF THE CRIME, dtype: int64\n",
      "\n",
      "TIME OF THE CRIME\n",
      "False    70296\n",
      "Name: TIME OF THE CRIME, dtype: int64\n",
      "\n",
      "MUNICIPIO\n",
      "False    70296\n",
      "Name: MUNICIPIO, dtype: int64\n",
      "\n",
      "DATE OF THE CRIME\n",
      "False    70296\n",
      "Name: DATE OF THE CRIME, dtype: int64\n",
      "\n",
      "day_of_week\n",
      "False    70296\n",
      "Name: day_of_week, dtype: int64\n",
      "\n",
      "year\n",
      "False    70296\n",
      "Name: year, dtype: int64\n",
      "\n",
      "month\n",
      "False    70296\n",
      "Name: month, dtype: int64\n",
      "\n",
      "day\n",
      "False    70296\n",
      "Name: day, dtype: int64\n",
      "\n",
      "Hour\n",
      "False    70296\n",
      "Name: Hour, dtype: int64\n",
      "\n",
      "counts\n",
      "False    70296\n",
      "Name: counts, dtype: int64\n",
      "\n",
      "ADDRESS\n",
      "False    70296\n",
      "Name: ADDRESS, dtype: int64\n",
      "\n",
      "location\n",
      "False    56029\n",
      "True     14267\n",
      "Name: location, dtype: int64\n",
      "\n",
      "latitude\n",
      "False    70296\n",
      "Name: latitude, dtype: int64\n",
      "\n",
      "longitude\n",
      "False    70296\n",
      "Name: longitude, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "missing_data = NEIGHBORHOOD_MORE_VIOLENCE.isnull()\n",
    "for column in missing_data.columns.values.tolist():\n",
    "    print(column)\n",
    "    print (missing_data[column].value_counts())\n",
    "    print(\"\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 70296 entries, 0 to 70295\n",
      "Data columns (total 16 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   CRIME_CLASSIFICATION         70296 non-null  object \n",
      " 1   NEIGHBORHOOD_OF_THE_CRIME    70296 non-null  object \n",
      " 2   DATE OF RECORD OF THE CRIME  70296 non-null  object \n",
      " 3   TIME OF THE CRIME            70296 non-null  object \n",
      " 4   MUNICIPIO                    70296 non-null  object \n",
      " 5   DATE OF THE CRIME            70296 non-null  object \n",
      " 6   day_of_week                  70296 non-null  object \n",
      " 7   year                         70296 non-null  int64  \n",
      " 8   month                        70296 non-null  int64  \n",
      " 9   day                          70296 non-null  int64  \n",
      " 10  Hour                         70296 non-null  float64\n",
      " 11  counts                       70296 non-null  float64\n",
      " 12  ADDRESS                      70296 non-null  object \n",
      " 13  location                     56029 non-null  object \n",
      " 14  latitude                     70296 non-null  float64\n",
      " 15  longitude                    70296 non-null  float64\n",
      "dtypes: float64(4), int64(3), object(9)\n",
      "memory usage: 8.6+ MB\n"
     ]
    }
   ],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "NEIGHBORHOOD_MORE_VIOLENCE.to_csv(\"CRIME_CLASSIFICATION_NEIGHBORHOOD_MORE_VIOLENCE_coordinates_Tijuana_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>SANCHEZ TABOADA,Tijuana,Mexico</td>\n",
       "      <td>(Del. Sanchez Taboada, La Joya, Municipio de T...</td>\n",
       "      <td>32.458767</td>\n",
       "      <td>-117.003325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>06/01/19</td>\n",
       "      <td>20:41</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>02/01/19</td>\n",
       "      <td>21:05</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>21.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.506700</td>\n",
       "      <td>-116.941100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>THEFT WITH VIOLENCE TO A BUSINESS</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>05/01/19</td>\n",
       "      <td>17:55</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.506700</td>\n",
       "      <td>-116.941100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION  NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0  THEFT WITH VIOLENCE(IN PUBLIC AREAS)               3 DE OCTUBRE   \n",
       "3                     HOMICIDE(VIOLENT)            SANCHEZ TABOADA   \n",
       "7                     HOMICIDE(VIOLENT)               3 DE OCTUBRE   \n",
       "8  THEFT WITH VIOLENCE(IN PUBLIC AREAS)  RIO TIJUANA TERCERA ETAPA   \n",
       "9     THEFT WITH VIOLENCE TO A BUSINESS  RIO TIJUANA TERCERA ETAPA   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "3                    01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "7                    06/01/19             20:41   TIJUANA        2019-05-01   \n",
       "8                    02/01/19             21:05   TIJUANA        2019-02-01   \n",
       "9                    05/01/19             17:55   TIJUANA        2019-05-01   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  counts  \\\n",
       "0     Tuesday  2019      1    1   2.0   195.0   \n",
       "3     Tuesday  2019      1    1   1.0   376.0   \n",
       "7   Wednesday  2019      5    1  20.0   195.0   \n",
       "8      Friday  2019      2    1  21.0   471.0   \n",
       "9   Wednesday  2019      5    1  17.0   471.0   \n",
       "\n",
       "                                    ADDRESS  \\\n",
       "0               3 DE OCTUBRE,Tijuana,Mexico   \n",
       "3            SANCHEZ TABOADA,Tijuana,Mexico   \n",
       "7               3 DE OCTUBRE,Tijuana,Mexico   \n",
       "8  RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico   \n",
       "9  RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \n",
       "0  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183  \n",
       "3  (Del. Sanchez Taboada, La Joya, Municipio de T...  32.458767 -117.003325  \n",
       "7  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183  \n",
       "8                                               None  32.506700 -116.941100  \n",
       "9                                               None  32.506700 -116.941100  "
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence2 = NEIGHBORHOOD_MORE_VIOLENCE[(NEIGHBORHOOD_MORE_VIOLENCE.CRIME_CLASSIFICATION.str.contains('WITH VIOLENCE'))| (NEIGHBORHOOD_MORE_VIOLENCE.CRIME_CLASSIFICATION.str.contains('VIOLENT')) | (NEIGHBORHOOD_MORE_VIOLENCE.CRIME_CLASSIFICATION.str.contains('MALICIOUS WOUNDING'))]\n",
    "df_Violence2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23339, 16)"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfViolence2 = df_Violence.dropna()\n",
    "dfViolence2.isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Violence2 = df_Violence2.reset_index()\n",
    "del df_Violence2['index']"
   ]
  },
  {
   "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>CRIME_CLASSIFICATION</th>\n",
       "      <th>NEIGHBORHOOD_OF_THE_CRIME</th>\n",
       "      <th>DATE OF RECORD OF THE CRIME</th>\n",
       "      <th>TIME OF THE CRIME</th>\n",
       "      <th>MUNICIPIO</th>\n",
       "      <th>DATE OF THE CRIME</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>counts</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>02:39</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>SANCHEZ TABOADA</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>01:25</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>SANCHEZ TABOADA,Tijuana,Mexico</td>\n",
       "      <td>(Del. Sanchez Taboada, La Joya, Municipio de T...</td>\n",
       "      <td>32.458767</td>\n",
       "      <td>-117.003325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HOMICIDE(VIOLENT)</td>\n",
       "      <td>3 DE OCTUBRE</td>\n",
       "      <td>06/01/19</td>\n",
       "      <td>20:41</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3 DE OCTUBRE,Tijuana,Mexico</td>\n",
       "      <td>(3 de Octubre, El Porvenir, Tijuana, Municipio...</td>\n",
       "      <td>32.460409</td>\n",
       "      <td>-116.947183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>THEFT WITH VIOLENCE(IN PUBLIC AREAS)</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>02/01/19</td>\n",
       "      <td>21:05</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>21.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.506700</td>\n",
       "      <td>-116.941100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THEFT WITH VIOLENCE TO A BUSINESS</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA</td>\n",
       "      <td>05/01/19</td>\n",
       "      <td>17:55</td>\n",
       "      <td>TIJUANA</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>17.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico</td>\n",
       "      <td>None</td>\n",
       "      <td>32.506700</td>\n",
       "      <td>-116.941100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   CRIME_CLASSIFICATION  NEIGHBORHOOD_OF_THE_CRIME  \\\n",
       "0  THEFT WITH VIOLENCE(IN PUBLIC AREAS)               3 DE OCTUBRE   \n",
       "1                     HOMICIDE(VIOLENT)            SANCHEZ TABOADA   \n",
       "2                     HOMICIDE(VIOLENT)               3 DE OCTUBRE   \n",
       "3  THEFT WITH VIOLENCE(IN PUBLIC AREAS)  RIO TIJUANA TERCERA ETAPA   \n",
       "4     THEFT WITH VIOLENCE TO A BUSINESS  RIO TIJUANA TERCERA ETAPA   \n",
       "\n",
       "  DATE OF RECORD OF THE CRIME TIME OF THE CRIME MUNICIPIO DATE OF THE CRIME  \\\n",
       "0                    01/01/19             02:39   TIJUANA        2019-01-01   \n",
       "1                    01/01/19             01:25   TIJUANA        2019-01-01   \n",
       "2                    06/01/19             20:41   TIJUANA        2019-05-01   \n",
       "3                    02/01/19             21:05   TIJUANA        2019-02-01   \n",
       "4                    05/01/19             17:55   TIJUANA        2019-05-01   \n",
       "\n",
       "  day_of_week  year  month  day  Hour  counts  \\\n",
       "0     Tuesday  2019      1    1   2.0   195.0   \n",
       "1     Tuesday  2019      1    1   1.0   376.0   \n",
       "2   Wednesday  2019      5    1  20.0   195.0   \n",
       "3      Friday  2019      2    1  21.0   471.0   \n",
       "4   Wednesday  2019      5    1  17.0   471.0   \n",
       "\n",
       "                                    ADDRESS  \\\n",
       "0               3 DE OCTUBRE,Tijuana,Mexico   \n",
       "1            SANCHEZ TABOADA,Tijuana,Mexico   \n",
       "2               3 DE OCTUBRE,Tijuana,Mexico   \n",
       "3  RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico   \n",
       "4  RIO TIJUANA TERCERA ETAPA,Tijuana,Mexico   \n",
       "\n",
       "                                            location   latitude   longitude  \n",
       "0  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183  \n",
       "1  (Del. Sanchez Taboada, La Joya, Municipio de T...  32.458767 -117.003325  \n",
       "2  (3 de Octubre, El Porvenir, Tijuana, Municipio...  32.460409 -116.947183  \n",
       "3                                               None  32.506700 -116.941100  \n",
       "4                                               None  32.506700 -116.941100  "
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Violence2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Violence2.to_csv(\"NEIGHBORHOOD_Violente_Crimes_coordinates_Tijuana_2014_to_2019.csv\", index=False)"
   ]
  },
  {
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}