2A_ETL/ETL.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Banner](Banner_ETL.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ETL Extracción, transformación y carga\n",
    "\n",
    "⚠️ **Asegúrese de instalar las siguientes bibliotecas antes de ejecutar el código**\n",
    "\n",
    "- numpy\n",
    "- pandas\n",
    "- matplotlib\n",
    "- seaborn\n",
    "- geopandas\n",
    "- geojson\n",
    "- folium\n",
    "- re\n",
    "- sqlalchemy\n",
    "\n",
    "\n",
    "Puede instalar estas bibliotecas debe abrir una terminal o ventana de línea de comandos y ejecutar el siguiente comando:\n",
    "\n",
    "*`pip install pandas matplotlib`*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el doloroso escenario de la realidad argentina, donde anualmente se despiden cerca de 4.000 vidas en siniestros viales, nuestro viaje comienza con una misión fundamental: transformar datos en entendimiento, desvelar los mensajes implícitos y, sobre todo, contribuir a la reducción de tragedias en sus carreteras.\n",
    "\n",
    "En éste proceso de ETL nos embarcaremos en la tarea de explorar dos archivos en formato Excel, testigos silenciosos de eventos trágicos: **'homicidios.xlsx'** y **'lesiones.xlsx'**. Cada hoja de trabajo, ya sea en homicidios (HECHOS y VICTIMAS) o lesiones (HECHOS y VICTIMAS), guarda consigo relatos que claman por ser desentrañados.\n",
    "\n",
    "Este notebook no es meramente código; es una odisea de descubrimiento, un esfuerzo meticuloso para revelar los secretos que se ocultan en los datos crudos. Nos sumergiremos en cada fila, exploraremos cada columna, y extraeremos la esencia que yace en cada celda. La transformación de información cruda en conocimiento es la brújula que nos guía hacia la comprensión y, más importante aún, hacia la acción para mitigar las pérdidas humanas en las carreteras de la Ciudad de Buenos Aires.\n",
    "\n",
    "\n",
    "+ Fuente de datos:\n",
    "\n",
    "Buenos Aires Data: https://data.buenosaires.gob.ar/dataset/victimas-siniestros-viales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Importar Librerías"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlalchemy\n",
    "import re\n",
    "import sketch\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "#import pandas_alive\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import geopandas as gpd\n",
    "import geojson\n",
    "import folium\n",
    "from folium.plugins import HeatMap\n",
    "from summarytools import dfSummary\n",
    "from functions import analizar_valores_sd, cargar_datos_desde_excel, data_cleaning\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Cargar de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Acceder al DataFrame por nombre de hoja, Homicidios - Hechos\n",
    "homicidios_hechos = pd.read_excel(\"homicidios.xlsx\", sheet_name=\"HECHOS\")\n",
    "homicidios_victimas = pd.read_excel(\"homicidios.xlsx\", sheet_name=\"VICTIMAS\")\n",
    "comunas= pd.read_excel(\"comunas.xlsx\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Explorar y limpiar datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1. Dataset: Homicidios - Hechos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>ID</th>\n",
       "      <th>N_VICTIMAS</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>HORA</th>\n",
       "      <th>HH</th>\n",
       "      <th>LUGAR_DEL_HECHO</th>\n",
       "      <th>TIPO_DE_CALLE</th>\n",
       "      <th>...</th>\n",
       "      <th>Altura</th>\n",
       "      <th>Cruce</th>\n",
       "      <th>Dirección Normalizada</th>\n",
       "      <th>COMUNA</th>\n",
       "      <th>XY (CABA)</th>\n",
       "      <th>pos x</th>\n",
       "      <th>pos y</th>\n",
       "      <th>PARTICIPANTES</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>FERNANDEZ DE LA CRUZ, F., GRAL. AV.</td>\n",
       "      <td>PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.47533969</td>\n",
       "      <td>-34.68757022</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DE LOS CORRALES AV.</td>\n",
       "      <td>PAZ, GRAL. AV. y DE LOS CORRALES AV.</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.50877521</td>\n",
       "      <td>-34.66977709</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>2034.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENTRE RIOS AV. 2034</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.39040293</td>\n",
       "      <td>-34.63189362</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-0004</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-10</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>AV LARRAZABAL Y GRAL VILLEGAS CONRADO</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>VILLEGAS, CONRADO, GRAL.</td>\n",
       "      <td>LARRAZABAL AV. y VILLEGAS, CONRADO, GRAL.</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (99840.65224780 94269.16534422)</td>\n",
       "      <td>-58.46503904</td>\n",
       "      <td>-34.68092974</td>\n",
       "      <td>MOTO-SD</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-0005</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-21</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>05:20:00</td>\n",
       "      <td>5</td>\n",
       "      <td>AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SAENZ PE?A, LUIS, PRES.</td>\n",
       "      <td>SAN JUAN AV. y SAENZ PEÃ‘A, LUIS, PRES.</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (106980.32827929 100752.16915795)</td>\n",
       "      <td>-58.38718297</td>\n",
       "      <td>-34.62246630</td>\n",
       "      <td>MOTO-PASAJEROS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>2021-0093</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-13</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>17:10:00</td>\n",
       "      <td>17</td>\n",
       "      <td>AV. RIESTRA Y MOM</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MOM</td>\n",
       "      <td>RIESTRA AV. y MOM</td>\n",
       "      <td>7</td>\n",
       "      <td>Point (102728.60090138 98186.24929177)</td>\n",
       "      <td>-58.43353773</td>\n",
       "      <td>-34.64561636</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>2021-0094</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-20</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>01:10:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AU DELLEPIANE Y LACARRA</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LACARRA AV.</td>\n",
       "      <td>DELLEPIANE, LUIS, TTE. GRAL. y LACARRA AV.</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (99624.29795829 97569.69801131)</td>\n",
       "      <td>-58.46739825</td>\n",
       "      <td>-34.65117757</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>2021-0095</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>00:43:00</td>\n",
       "      <td>0</td>\n",
       "      <td>AV. GAONA Y TERRADA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TERRADA</td>\n",
       "      <td>GAONA AV. y TERRADA</td>\n",
       "      <td>11</td>\n",
       "      <td>Point (99116.45492358 101045.23284826)</td>\n",
       "      <td>-58.47293407</td>\n",
       "      <td>-34.61984745</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>2021-0096</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-15</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>10:30:00</td>\n",
       "      <td>10</td>\n",
       "      <td>AV. EVA PERON 4071</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>4071.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PERON, EVA AV. 4071</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (99324.54463985 97676.26932409)</td>\n",
       "      <td>-58.47066794</td>\n",
       "      <td>-34.65021673</td>\n",
       "      <td>AUTO-CARGAS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>2021-0097</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-11-18</td>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>06:10:00</td>\n",
       "      <td>6</td>\n",
       "      <td>PADRE CARLOS MUJICA 709</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>...</td>\n",
       "      <td>709.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PADRE CARLOS MUGICA 709</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (107664.16647795 104708.63962087)</td>\n",
       "      <td>-58.37976155</td>\n",
       "      <td>-34.58679619</td>\n",
       "      <td>BICICLETA-AUTO</td>\n",
       "      <td>BICICLETA</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>696 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "0    2016-0001           1 2016-01-01  2016   1   1  04:00:00   4   \n",
       "1    2016-0002           1 2016-01-02  2016   1   2  01:15:00   1   \n",
       "2    2016-0003           1 2016-01-03  2016   1   3  07:00:00   7   \n",
       "3    2016-0004           1 2016-01-10  2016   1  10  00:00:00   0   \n",
       "4    2016-0005           1 2016-01-21  2016   1  21  05:20:00   5   \n",
       "..         ...         ...        ...   ...  ..  ..       ...  ..   \n",
       "691  2021-0093           1 2021-12-13  2021  12  13  17:10:00  17   \n",
       "692  2021-0094           1 2021-12-20  2021  12  20  01:10:00   1   \n",
       "693  2021-0095           1 2021-12-30  2021  12  30  00:43:00   0   \n",
       "694  2021-0096           1 2021-12-15  2021  12  15  10:30:00  10   \n",
       "695  2021-0097           1 2021-11-18  2021  11  18  06:10:00   6   \n",
       "\n",
       "                               LUGAR_DEL_HECHO TIPO_DE_CALLE  ...  Altura  \\\n",
       "0    AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ       AVENIDA  ...     NaN   \n",
       "1            AV GRAL PAZ  Y AV DE LOS CORRALES      GRAL PAZ  ...     NaN   \n",
       "2                           AV ENTRE RIOS 2034       AVENIDA  ...  2034.0   \n",
       "3        AV LARRAZABAL Y GRAL VILLEGAS CONRADO       AVENIDA  ...     NaN   \n",
       "4    AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA        AVENIDA  ...     NaN   \n",
       "..                                         ...           ...  ...     ...   \n",
       "691                          AV. RIESTRA Y MOM       AVENIDA  ...     NaN   \n",
       "692                    AU DELLEPIANE Y LACARRA     AUTOPISTA  ...     NaN   \n",
       "693                        AV. GAONA Y TERRADA       AVENIDA  ...     NaN   \n",
       "694                         AV. EVA PERON 4071       AVENIDA  ...  4071.0   \n",
       "695                    PADRE CARLOS MUJICA 709         CALLE  ...   709.0   \n",
       "\n",
       "                                   Cruce  \\\n",
       "0    FERNANDEZ DE LA CRUZ, F., GRAL. AV.   \n",
       "1                    DE LOS CORRALES AV.   \n",
       "2                                    NaN   \n",
       "3               VILLEGAS, CONRADO, GRAL.   \n",
       "4                SAENZ PE?A, LUIS, PRES.   \n",
       "..                                   ...   \n",
       "691                                  MOM   \n",
       "692                          LACARRA AV.   \n",
       "693                              TERRADA   \n",
       "694                                  NaN   \n",
       "695                                  NaN   \n",
       "\n",
       "                                 Dirección Normalizada COMUNA  \\\n",
       "0    PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...      8   \n",
       "1                 PAZ, GRAL. AV. y DE LOS CORRALES AV.      9   \n",
       "2                                  ENTRE RIOS AV. 2034      1   \n",
       "3            LARRAZABAL AV. y VILLEGAS, CONRADO, GRAL.      8   \n",
       "4              SAN JUAN AV. y SAENZ PEÃ‘A, LUIS, PRES.      1   \n",
       "..                                                 ...    ...   \n",
       "691                                  RIESTRA AV. y MOM      7   \n",
       "692         DELLEPIANE, LUIS, TTE. GRAL. y LACARRA AV.      9   \n",
       "693                                GAONA AV. y TERRADA     11   \n",
       "694                                PERON, EVA AV. 4071      9   \n",
       "695                            PADRE CARLOS MUGICA 709      1   \n",
       "\n",
       "                                   XY (CABA)         pos x         pos y  \\\n",
       "0      Point (98896.78238426 93532.43437792)  -58.47533969  -34.68757022   \n",
       "1      Point (95832.05571093 95505.41641999)  -58.50877521  -34.66977709   \n",
       "2     Point (106684.29090040 99706.57687843)  -58.39040293  -34.63189362   \n",
       "3      Point (99840.65224780 94269.16534422)  -58.46503904  -34.68092974   \n",
       "4    Point (106980.32827929 100752.16915795)  -58.38718297  -34.62246630   \n",
       "..                                       ...           ...           ...   \n",
       "691   Point (102728.60090138 98186.24929177)  -58.43353773  -34.64561636   \n",
       "692    Point (99624.29795829 97569.69801131)  -58.46739825  -34.65117757   \n",
       "693   Point (99116.45492358 101045.23284826)  -58.47293407  -34.61984745   \n",
       "694    Point (99324.54463985 97676.26932409)  -58.47066794  -34.65021673   \n",
       "695  Point (107664.16647795 104708.63962087)  -58.37976155  -34.58679619   \n",
       "\n",
       "      PARTICIPANTES    VICTIMA    ACUSADO  \n",
       "0         MOTO-AUTO       MOTO       AUTO  \n",
       "1    AUTO-PASAJEROS       AUTO  PASAJEROS  \n",
       "2         MOTO-AUTO       MOTO       AUTO  \n",
       "3           MOTO-SD       MOTO         SD  \n",
       "4    MOTO-PASAJEROS       MOTO  PASAJEROS  \n",
       "..              ...        ...        ...  \n",
       "691       MOTO-AUTO       MOTO       AUTO  \n",
       "692       MOTO-AUTO       MOTO       AUTO  \n",
       "693     MOTO-CARGAS       MOTO     CARGAS  \n",
       "694     AUTO-CARGAS       AUTO     CARGAS  \n",
       "695  BICICLETA-AUTO  BICICLETA       AUTO  \n",
       "\n",
       "[696 rows x 21 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza las primeras filas del Dataframe\n",
    "homicidios_hechos\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 696 entries, 0 to 695\n",
      "Data columns (total 21 columns):\n",
      " #   Column                 Non-Null Count  Dtype         \n",
      "---  ------                 --------------  -----         \n",
      " 0   ID                     696 non-null    object        \n",
      " 1   N_VICTIMAS             696 non-null    int64         \n",
      " 2   FECHA                  696 non-null    datetime64[ns]\n",
      " 3   AAAA                   696 non-null    int64         \n",
      " 4   MM                     696 non-null    int64         \n",
      " 5   DD                     696 non-null    int64         \n",
      " 6   HORA                   696 non-null    object        \n",
      " 7   HH                     696 non-null    object        \n",
      " 8   LUGAR_DEL_HECHO        696 non-null    object        \n",
      " 9   TIPO_DE_CALLE          696 non-null    object        \n",
      " 10  Calle                  695 non-null    object        \n",
      " 11  Altura                 129 non-null    float64       \n",
      " 12  Cruce                  525 non-null    object        \n",
      " 13  Dirección Normalizada  688 non-null    object        \n",
      " 14  COMUNA                 696 non-null    int64         \n",
      " 15  XY (CABA)              696 non-null    object        \n",
      " 16  pos x                  696 non-null    object        \n",
      " 17  pos y                  696 non-null    object        \n",
      " 18  PARTICIPANTES          696 non-null    object        \n",
      " 19  VICTIMA                696 non-null    object        \n",
      " 20  ACUSADO                696 non-null    object        \n",
      "dtypes: datetime64[ns](1), float64(1), int64(5), object(14)\n",
      "memory usage: 114.3+ KB\n"
     ]
    }
   ],
   "source": [
    "# Obtener información general del DataFrame\n",
    "homicidios_hechos.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examen de nulos y duplicados"
   ]
  },
  {
   "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>Columna</th>\n",
       "      <th>Cantidad de SD</th>\n",
       "      <th>Porcentaje de SD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>HORA</td>\n",
       "      <td>1</td>\n",
       "      <td>0.143678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HH</td>\n",
       "      <td>1</td>\n",
       "      <td>0.143678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LUGAR_DEL_HECHO</td>\n",
       "      <td>1</td>\n",
       "      <td>0.143678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>VICTIMA</td>\n",
       "      <td>9</td>\n",
       "      <td>1.293103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ACUSADO</td>\n",
       "      <td>23</td>\n",
       "      <td>3.304598</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Columna  Cantidad de SD  Porcentaje de SD\n",
       "6              HORA               1          0.143678\n",
       "7                HH               1          0.143678\n",
       "8   LUGAR_DEL_HECHO               1          0.143678\n",
       "19          VICTIMA               9          1.293103\n",
       "20          ACUSADO              23          3.304598"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Invoca la función 'analizar_valores_sd'\n",
    "resultados_h_hechos = analizar_valores_sd(homicidios_hechos)\n",
    "resultados_h_hechos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                         0\n",
       "N_VICTIMAS                 0\n",
       "FECHA                      0\n",
       "AAAA                       0\n",
       "MM                         0\n",
       "DD                         0\n",
       "HORA                       1\n",
       "HH                         1\n",
       "LUGAR_DEL_HECHO            1\n",
       "TIPO_DE_CALLE              0\n",
       "Calle                      1\n",
       "Altura                   567\n",
       "Cruce                    171\n",
       "Dirección Normalizada      8\n",
       "COMUNA                     0\n",
       "XY (CABA)                  0\n",
       "pos x                      0\n",
       "pos y                      0\n",
       "PARTICIPANTES              0\n",
       "VICTIMA                    9\n",
       "ACUSADO                   23\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reemplazar 'SD' por NaN en todo el DataFrame\n",
    "\n",
    "homicidios_hechos.replace(['SD','sd'], np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se analizan las columnas con datos nulos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Altura</th>\n",
       "      <th>Calle</th>\n",
       "      <th>Dirección Normalizada</th>\n",
       "      <th>Cruce</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>PIEDRA BUENA AV.</td>\n",
       "      <td>PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...</td>\n",
       "      <td>FERNANDEZ DE LA CRUZ, F., GRAL. AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>PAZ, GRAL. AV.</td>\n",
       "      <td>PAZ, GRAL. AV. y DE LOS CORRALES AV.</td>\n",
       "      <td>DE LOS CORRALES AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2034.0</td>\n",
       "      <td>ENTRE RIOS AV.</td>\n",
       "      <td>ENTRE RIOS AV. 2034</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>LARRAZABAL AV.</td>\n",
       "      <td>LARRAZABAL AV. y VILLEGAS, CONRADO, GRAL.</td>\n",
       "      <td>VILLEGAS, CONRADO, GRAL.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>SAN JUAN AV.</td>\n",
       "      <td>SAN JUAN AV. y SAENZ PEÃ‘A, LUIS, PRES.</td>\n",
       "      <td>SAENZ PE?A, LUIS, PRES.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Altura             Calle  \\\n",
       "0     NaN  PIEDRA BUENA AV.   \n",
       "1     NaN    PAZ, GRAL. AV.   \n",
       "2  2034.0    ENTRE RIOS AV.   \n",
       "3     NaN    LARRAZABAL AV.   \n",
       "4     NaN      SAN JUAN AV.   \n",
       "\n",
       "                               Dirección Normalizada  \\\n",
       "0  PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...   \n",
       "1               PAZ, GRAL. AV. y DE LOS CORRALES AV.   \n",
       "2                                ENTRE RIOS AV. 2034   \n",
       "3          LARRAZABAL AV. y VILLEGAS, CONRADO, GRAL.   \n",
       "4            SAN JUAN AV. y SAENZ PEÃ‘A, LUIS, PRES.   \n",
       "\n",
       "                                 Cruce  \n",
       "0  FERNANDEZ DE LA CRUZ, F., GRAL. AV.  \n",
       "1                  DE LOS CORRALES AV.  \n",
       "2                                  NaN  \n",
       "3             VILLEGAS, CONRADO, GRAL.  \n",
       "4              SAENZ PE?A, LUIS, PRES.  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos[[\"Altura\", \"Calle\", \"Dirección Normalizada\", \"Cruce\"]][:5]"
   ]
  },
  {
   "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>Dirección Normalizada</th>\n",
       "      <th>Cruce</th>\n",
       "      <th>Altura</th>\n",
       "      <th>Calle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LUGONES, LEOPOLDO AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA BUENOS AIRES - LA PLATA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA PERITO MORENO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA DELLEPIANE LUIS TTE. GRAL.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LUGONES, LEOPOLDO AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LUGONES, LEOPOLDO AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA BUENOS AIRES - LA PLATA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Dirección Normalizada Cruce  Altura                                 Calle\n",
       "38                    NaN   NaN     NaN                 LUGONES, LEOPOLDO AV.\n",
       "106                   NaN   NaN     NaN     AUTOPISTA BUENOS AIRES - LA PLATA\n",
       "119                   NaN   NaN     NaN                                   NaN\n",
       "180                   NaN   NaN     NaN               AUTOPISTA PERITO MORENO\n",
       "181                   NaN   NaN     NaN  AUTOPISTA DELLEPIANE LUIS TTE. GRAL.\n",
       "313                   NaN   NaN     NaN                 LUGONES, LEOPOLDO AV.\n",
       "546                   NaN   NaN     NaN                 LUGONES, LEOPOLDO AV.\n",
       "621                   NaN   NaN     NaN     AUTOPISTA BUENOS AIRES - LA PLATA"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos[homicidios_hechos[\"Dirección Normalizada\"].isnull()][[\"Dirección Normalizada\", \"Cruce\",\"Altura\", \"Calle\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tras examinar datos nulos, que representan el 5,1% del dataset; distribuidos en tres columnas **`Altura`**, **`Dirección Normalizada`**, **`Cruce`** y **`Calle`**. \n",
    "- Para el caso de **`Calle`** tiene un solo dato nulo.\n",
    "- Para el caso de  **`Dirección Normalizada`** 8 nulos. \n",
    "- Para el caso de **`Cruce`** tiene 171 nulos, siendo el 24,56% del los datos de la columna.\n",
    "- Para el caso de **`Altura`** tiene 567 nulos que representan el 81,5% de datos de la columna\n",
    "\n",
    "Analizando los datos de la `Altura` se procede a eliminarla debido a la gran cantidad de faltantes y no existiendo manera de poder rellenar las colummas; ya que altura se refiere a la numeración de la calle donde se produce el siniestro y la mayoria de los casos se producen en cruces o esquinas.\n",
    "La columna `Cruce` solo va a tener dato cuando el hecho se porduce en un cruce de calles, por lo que se conserva de esta manera.\n",
    "La columna `Dirección Normalizada` no tiene posibilidad de completarse con las columnas del dataset; pero contiene solo 1,1% de nulos por lo se conserva de esta manera."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'N_VICTIMAS', 'FECHA', 'AAAA', 'MM', 'DD', 'HORA', 'HH',\n",
       "       'LUGAR_DEL_HECHO', 'TIPO_DE_CALLE', 'Calle', 'Cruce',\n",
       "       'Dirección Normalizada', 'COMUNA', 'XY (CABA)', 'pos x', 'pos y',\n",
       "       'PARTICIPANTES', 'VICTIMA', 'ACUSADO'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se elimina la columna \"Altura\"\n",
    "homicidios_hechos= homicidios_hechos.drop(\"Altura\", axis=1)\n",
    "homicidios_hechos.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para el caso no se encontraron datos duplicados "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Transformación de los datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se regularizan los tipos de datos de las columnas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ante la salida de la info del dataset, se observa que la primera columna con tipo de dato que necesita transformación es `HH`, debido a que se encuentra como objeto y deberia ser númerico.\n",
    "- Por ello se analizan los datos de la columna\n",
    "- Se transforman a tipo de dato numérico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 4.,  1.,  7.,  0.,  5., 18., 19., 15., 11., 22., 16.,  9., 23.,\n",
       "        6., 10., 17., 12.,  8., 20., 21., 14.,  3.,  2., 13., nan])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos[\"HH\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El campo que contiene SD, no se modifica debido a que en la columna HORA donde tambien debería existir dato, se encuentra SD. Por lo que no podemos calcular un reemplazo. Otra opción sería calcular la mediana de las horas y reemplazarlas pero podria no ser representativo en este caso. Por lo que se define mantenerlo en SD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cambio el dato horas  a tipo de dato numerico y luego a entero \n",
    "homicidios_hechos[\"HH\"] = pd.to_numeric(homicidios_hechos [\"HH\"], errors=\"coerce\")\n",
    "homicidios_hechos[\"HH\"] = homicidios_hechos[\"HH\"].astype(\"Int64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filtrar filas con posiciones no válidas\n",
    "valid_positions = ~(homicidios_hechos['pos x'].str.contains('[^0-9.,-]') | homicidios_hechos['pos y'].str.contains('[^0-9.,-]') | (homicidios_hechos['pos x'] == '.') | (homicidios_hechos['pos y'] == '.'))\n",
    "\n",
    "# Establecer posiciones no válidas en NaN\n",
    "homicidios_hechos.loc[~valid_positions, ['pos x', 'pos y']] = np.nan\n",
    "\n",
    "# Convertir las cadenas a tipo numérico (float)\n",
    "homicidios_hechos['pos x'] = homicidios_hechos['pos x'].str.replace(',', '.').astype(float)\n",
    "homicidios_hechos['pos y'] = homicidios_hechos['pos y'].str.replace(',', '.').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>ID</th>\n",
       "      <th>N_VICTIMAS</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>HORA</th>\n",
       "      <th>HH</th>\n",
       "      <th>LUGAR_DEL_HECHO</th>\n",
       "      <th>TIPO_DE_CALLE</th>\n",
       "      <th>Calle</th>\n",
       "      <th>Cruce</th>\n",
       "      <th>Dirección Normalizada</th>\n",
       "      <th>COMUNA</th>\n",
       "      <th>XY (CABA)</th>\n",
       "      <th>pos x</th>\n",
       "      <th>pos y</th>\n",
       "      <th>PARTICIPANTES</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>PIEDRA BUENA AV.</td>\n",
       "      <td>FERNANDEZ DE LA CRUZ, F., GRAL. AV.</td>\n",
       "      <td>PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>PAZ, GRAL. AV.</td>\n",
       "      <td>DE LOS CORRALES AV.</td>\n",
       "      <td>PAZ, GRAL. AV. y DE LOS CORRALES AV.</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>ENTRE RIOS AV.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENTRE RIOS AV. 2034</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "0  2016-0001           1 2016-01-01  2016   1   1  04:00:00   4   \n",
       "1  2016-0002           1 2016-01-02  2016   1   2  01:15:00   1   \n",
       "2  2016-0003           1 2016-01-03  2016   1   3  07:00:00   7   \n",
       "\n",
       "                             LUGAR_DEL_HECHO TIPO_DE_CALLE             Calle  \\\n",
       "0  AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ       AVENIDA  PIEDRA BUENA AV.   \n",
       "1          AV GRAL PAZ  Y AV DE LOS CORRALES      GRAL PAZ    PAZ, GRAL. AV.   \n",
       "2                         AV ENTRE RIOS 2034       AVENIDA    ENTRE RIOS AV.   \n",
       "\n",
       "                                 Cruce  \\\n",
       "0  FERNANDEZ DE LA CRUZ, F., GRAL. AV.   \n",
       "1                  DE LOS CORRALES AV.   \n",
       "2                                  NaN   \n",
       "\n",
       "                               Dirección Normalizada  COMUNA  \\\n",
       "0  PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...       8   \n",
       "1               PAZ, GRAL. AV. y DE LOS CORRALES AV.       9   \n",
       "2                                ENTRE RIOS AV. 2034       1   \n",
       "\n",
       "                                XY (CABA)      pos x      pos y  \\\n",
       "0   Point (98896.78238426 93532.43437792) -58.475340 -34.687570   \n",
       "1   Point (95832.05571093 95505.41641999) -58.508775 -34.669777   \n",
       "2  Point (106684.29090040 99706.57687843) -58.390403 -34.631894   \n",
       "\n",
       "    PARTICIPANTES VICTIMA    ACUSADO  \n",
       "0       MOTO-AUTO    MOTO       AUTO  \n",
       "1  AUTO-PASAJEROS    AUTO  PASAJEROS  \n",
       "2       MOTO-AUTO    MOTO       AUTO  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La columna `XY (CABA)` posee coordenadas para poder ubicar en un mapa , las extraemos para poder utilizar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La función extraer_coordenadas se utiliza para extraer estas coordenadas (latitud y longitud) de un texto determinado y luego se almacenan en las columnas 'coordenada_x' (longitud) y 'coordenada_y' (latitud) del DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Función para extraer las coordenadas CABA\n",
    "# Esta función toma un argumento texto, que es el texto de entrada del cual se intentarán extraer las coordenadas\n",
    "# Utiliza una expresión regular (re.findall) para buscar todas las coincidencias de números decimales (que tienen un punto como separador decimal) en el texto. Estas coincidencias se almacenan en la lista coordenadas.\n",
    "# return float(coordenadas[0]), float(coordenadas[1]): Si se encontraron dos coordenadas, se convierten en números de punto flotante (float) y se devuelven como una tupla de dos valores.\n",
    "# Luego, se aplica esta función a la columna 'XY (CABA)' de df_siniestros utilizando el método .map(). Esto se hace para cada fila de la columna, y los resultados se almacenan en dos nuevas columnas, 'coordenada_x' y 'coordenada_y', utilizando zip(*...).\n",
    "\n",
    "def extraer_coordenadas(texto):\n",
    "    # Utilizamos una expresión regular para extraer las coordenadas\n",
    "    coordenadas = re.findall(r'\\d+\\.\\d+', texto)\n",
    "    if len(coordenadas) == 2:\n",
    "        return float(coordenadas[0]), float(coordenadas[1])\n",
    "    else:\n",
    "        return None, None\n",
    "\n",
    "# Aplicar la función a la columna 'XY (CABA)'\n",
    "homicidios_hechos['coordenada_x'], homicidios_hechos['coordenada_y'] = zip(*homicidios_hechos['XY (CABA)'].map(extraer_coordenadas))\n",
    "\n",
    "# Filtrar los registros que no tienen coordenadas válidas\n",
    "homicidios_hechos = homicidios_hechos[(homicidios_hechos['coordenada_x'].notnull()) & (homicidios_hechos['coordenada_y'].notnull())]"
   ]
  },
  {
   "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>ID</th>\n",
       "      <th>N_VICTIMAS</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>HORA</th>\n",
       "      <th>HH</th>\n",
       "      <th>LUGAR_DEL_HECHO</th>\n",
       "      <th>TIPO_DE_CALLE</th>\n",
       "      <th>...</th>\n",
       "      <th>Dirección Normalizada</th>\n",
       "      <th>COMUNA</th>\n",
       "      <th>XY (CABA)</th>\n",
       "      <th>pos x</th>\n",
       "      <th>pos y</th>\n",
       "      <th>PARTICIPANTES</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "      <th>coordenada_x</th>\n",
       "      <th>coordenada_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>98896.782384</td>\n",
       "      <td>93532.434378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>PAZ, GRAL. AV. y DE LOS CORRALES AV.</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>95832.055711</td>\n",
       "      <td>95505.416420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>ENTRE RIOS AV. 2034</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>106684.290900</td>\n",
       "      <td>99706.576878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "0  2016-0001           1 2016-01-01  2016   1   1  04:00:00   4   \n",
       "1  2016-0002           1 2016-01-02  2016   1   2  01:15:00   1   \n",
       "2  2016-0003           1 2016-01-03  2016   1   3  07:00:00   7   \n",
       "\n",
       "                             LUGAR_DEL_HECHO TIPO_DE_CALLE  ...  \\\n",
       "0  AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ       AVENIDA  ...   \n",
       "1          AV GRAL PAZ  Y AV DE LOS CORRALES      GRAL PAZ  ...   \n",
       "2                         AV ENTRE RIOS 2034       AVENIDA  ...   \n",
       "\n",
       "                               Dirección Normalizada COMUNA  \\\n",
       "0  PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...      8   \n",
       "1               PAZ, GRAL. AV. y DE LOS CORRALES AV.      9   \n",
       "2                                ENTRE RIOS AV. 2034      1   \n",
       "\n",
       "                                XY (CABA)      pos x      pos y  \\\n",
       "0   Point (98896.78238426 93532.43437792) -58.475340 -34.687570   \n",
       "1   Point (95832.05571093 95505.41641999) -58.508775 -34.669777   \n",
       "2  Point (106684.29090040 99706.57687843) -58.390403 -34.631894   \n",
       "\n",
       "    PARTICIPANTES  VICTIMA    ACUSADO   coordenada_x  coordenada_y  \n",
       "0       MOTO-AUTO     MOTO       AUTO   98896.782384  93532.434378  \n",
       "1  AUTO-PASAJEROS     AUTO  PASAJEROS   95832.055711  95505.416420  \n",
       "2       MOTO-AUTO     MOTO       AUTO  106684.290900  99706.576878  \n",
       "\n",
       "[3 rows x 22 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'N_VICTIMAS', 'FECHA', 'AAAA', 'MM', 'DD', 'HORA', 'HH',\n",
       "       'LUGAR_DEL_HECHO', 'TIPO_DE_CALLE', 'Calle', 'Cruce',\n",
       "       'Dirección Normalizada', 'COMUNA', 'XY (CABA)', 'pos x', 'pos y',\n",
       "       'PARTICIPANTES', 'VICTIMA', 'ACUSADO', 'coordenada_x', 'coordenada_y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Se observan las columnas resultantes\n",
    "homicidios_hechos.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En la columna 'Comuna' tenemos una numeracion del 1 al 15. Esta numeración identifica a cada una de las divisiones comunales de la ciudad autónoma de Buenos Aires.\n",
    "\n",
    "Para agregar valor al dataset, agregaremos la descripción de cada una de las comunas, con los Barrios que la conforman.\n",
    "\n",
    "Para eso utilizaremos el dataset 'comunas' importado junto al dataset `homicidios`. Este dataset fue descargado del siguiente sitio web: https://buenosaires.gob.ar/comunas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Se realiza el merge a través de la columna en comun `Comuna` y nos va a quedar anexada la columna `Barrios`\n",
    "\n",
    "homicidios_hechos=homicidios_hechos.merge(comunas, on=\"COMUNA\", how=\"left\")\n",
    "\n",
    "#Modifico las mayúsculas por minúsculas\n",
    "homicidios_hechos=homicidios_hechos.rename(columns={\n",
    "    \"BARRIOS\": \"Barrios\"\n",
    "})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>ID</th>\n",
       "      <th>N_VICTIMAS</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>HORA</th>\n",
       "      <th>HH</th>\n",
       "      <th>LUGAR_DEL_HECHO</th>\n",
       "      <th>TIPO_DE_CALLE</th>\n",
       "      <th>...</th>\n",
       "      <th>COMUNA</th>\n",
       "      <th>XY (CABA)</th>\n",
       "      <th>pos x</th>\n",
       "      <th>pos y</th>\n",
       "      <th>PARTICIPANTES</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "      <th>coordenada_x</th>\n",
       "      <th>coordenada_y</th>\n",
       "      <th>Barrios</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>98896.782384</td>\n",
       "      <td>93532.434378</td>\n",
       "      <td>VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>95832.055711</td>\n",
       "      <td>95505.416420</td>\n",
       "      <td>LINIERS - MATADEROS - PARQUE AVELLANEDA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>106684.290900</td>\n",
       "      <td>99706.576878</td>\n",
       "      <td>CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "0  2016-0001           1 2016-01-01  2016   1   1  04:00:00   4   \n",
       "1  2016-0002           1 2016-01-02  2016   1   2  01:15:00   1   \n",
       "2  2016-0003           1 2016-01-03  2016   1   3  07:00:00   7   \n",
       "\n",
       "                             LUGAR_DEL_HECHO TIPO_DE_CALLE  ... COMUNA  \\\n",
       "0  AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ       AVENIDA  ...      8   \n",
       "1          AV GRAL PAZ  Y AV DE LOS CORRALES      GRAL PAZ  ...      9   \n",
       "2                         AV ENTRE RIOS 2034       AVENIDA  ...      1   \n",
       "\n",
       "                                XY (CABA)      pos x      pos y  \\\n",
       "0   Point (98896.78238426 93532.43437792) -58.475340 -34.687570   \n",
       "1   Point (95832.05571093 95505.41641999) -58.508775 -34.669777   \n",
       "2  Point (106684.29090040 99706.57687843) -58.390403 -34.631894   \n",
       "\n",
       "    PARTICIPANTES  VICTIMA    ACUSADO   coordenada_x  coordenada_y  \\\n",
       "0       MOTO-AUTO     MOTO       AUTO   98896.782384  93532.434378   \n",
       "1  AUTO-PASAJEROS     AUTO  PASAJEROS   95832.055711  95505.416420   \n",
       "2       MOTO-AUTO     MOTO       AUTO  106684.290900  99706.576878   \n",
       "\n",
       "                                             Barrios  \n",
       "0     VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI  \n",
       "1            LINIERS - MATADEROS - PARQUE AVELLANEDA  \n",
       "2  CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...  \n",
       "\n",
       "[3 rows x 23 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Las colummas tienen nombres en mayúsculas y también en minúsculas. Se estandarizan a modo de buena práctica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Num víctimas', 'Fecha', 'Año', 'Mes', 'Día', 'Hora completa',\n",
       "       'Hora', 'Lugar del hecho', 'Tipo de calle', 'Calle', 'Cruce',\n",
       "       'Dirección normalizada', 'Comuna', 'Xy (caba)', 'Pos x', 'Pos y',\n",
       "       'Participantes', 'Victima', 'Acusado', 'Coordenada x', 'Coordenada y',\n",
       "       'Barrios'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Cambio la primer letra a mayúscula\n",
    "homicidios_hechos.columns = [x.capitalize() for x in homicidios_hechos.columns]\n",
    "# Reemplazo guiones por espacios\n",
    "homicidios_hechos.columns = homicidios_hechos.columns.str.replace(\"_\", \" \")\n",
    "#Renombra columnas \n",
    "homicidios_hechos= homicidios_hechos.rename(columns={\"N victimas\": \"Num víctimas\",\n",
    "                                            \"Aaaa\": \"Año\",\n",
    "                                            \"Mm\":\"Mes\",\n",
    "                                            \"Dd\": \"Día\",\n",
    "                                            \"Hora\": \"Hora completa\",\n",
    "                                            \"Hh\": \"Hora\"}) \n",
    "\n",
    "homicidios_hechos.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al analizar los datos de la columna `Día` se muestra solo el numero del día y no el nombre correspondiente por lo que se crea la columna `Día semana` donde se corresponde cada fecha con un dia de la semana para poder analizar luego como se relacionan los siniestros con los dias de la semana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       2\n",
       "2       3\n",
       "3      10\n",
       "4      21\n",
       "       ..\n",
       "677    13\n",
       "678    20\n",
       "679    30\n",
       "680    15\n",
       "681    18\n",
       "Name: Día, Length: 682, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Consulto la columna Día\n",
    "homicidios_hechos.Día"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creo una columna nueva `Día semana` que contenga el nombre del día de la semana\n",
    "homicidios_hechos['Día semana'] = homicidios_hechos['Fecha'].dt.strftime('%A')\n",
    "\n",
    "#Creo un diccionario para modificar a español los nombres de los dás de la semana y lo aplico a la columna nueva\n",
    "dic={  'Friday':'Viernes',\n",
    "       'Saturday': 'Sabado',\n",
    "       'Sunday': 'Domingo',  \n",
    "       'Thursday': 'Jueves',\n",
    "        'Monday': 'Lunes',\n",
    "        'Wednesday': 'Miercoles',\n",
    "       'Tuesday': 'Martes'}\n",
    "homicidios_hechos['Día semana'] =homicidios_hechos['Día semana'].replace(dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>Id</th>\n",
       "      <th>Num víctimas</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Hora completa</th>\n",
       "      <th>Hora</th>\n",
       "      <th>Lugar del hecho</th>\n",
       "      <th>Tipo de calle</th>\n",
       "      <th>...</th>\n",
       "      <th>Xy (caba)</th>\n",
       "      <th>Pos x</th>\n",
       "      <th>Pos y</th>\n",
       "      <th>Participantes</th>\n",
       "      <th>Victima</th>\n",
       "      <th>Acusado</th>\n",
       "      <th>Coordenada x</th>\n",
       "      <th>Coordenada y</th>\n",
       "      <th>Barrios</th>\n",
       "      <th>Día semana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>98896.782384</td>\n",
       "      <td>93532.434378</td>\n",
       "      <td>VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI</td>\n",
       "      <td>Viernes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>95832.055711</td>\n",
       "      <td>95505.416420</td>\n",
       "      <td>LINIERS - MATADEROS - PARQUE AVELLANEDA</td>\n",
       "      <td>Sabado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>106684.290900</td>\n",
       "      <td>99706.576878</td>\n",
       "      <td>CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...</td>\n",
       "      <td>Domingo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Id  Num víctimas      Fecha   Año  Mes  Día Hora completa  Hora  \\\n",
       "0  2016-0001             1 2016-01-01  2016    1    1      04:00:00     4   \n",
       "1  2016-0002             1 2016-01-02  2016    1    2      01:15:00     1   \n",
       "2  2016-0003             1 2016-01-03  2016    1    3      07:00:00     7   \n",
       "\n",
       "                             Lugar del hecho Tipo de calle  ...  \\\n",
       "0  AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ       AVENIDA  ...   \n",
       "1          AV GRAL PAZ  Y AV DE LOS CORRALES      GRAL PAZ  ...   \n",
       "2                         AV ENTRE RIOS 2034       AVENIDA  ...   \n",
       "\n",
       "                                Xy (caba)      Pos x      Pos y  \\\n",
       "0   Point (98896.78238426 93532.43437792) -58.475340 -34.687570   \n",
       "1   Point (95832.05571093 95505.41641999) -58.508775 -34.669777   \n",
       "2  Point (106684.29090040 99706.57687843) -58.390403 -34.631894   \n",
       "\n",
       "    Participantes Victima    Acusado   Coordenada x  Coordenada y  \\\n",
       "0       MOTO-AUTO    MOTO       AUTO   98896.782384  93532.434378   \n",
       "1  AUTO-PASAJEROS    AUTO  PASAJEROS   95832.055711  95505.416420   \n",
       "2       MOTO-AUTO    MOTO       AUTO  106684.290900  99706.576878   \n",
       "\n",
       "                                             Barrios Día semana  \n",
       "0     VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI    Viernes  \n",
       "1            LINIERS - MATADEROS - PARQUE AVELLANEDA     Sabado  \n",
       "2  CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...    Domingo  \n",
       "\n",
       "[3 rows x 24 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La colmuna `Comuna` se modifica agregando el termino Comuna antes del número, a fin de lograr una variable categórica que me simplifique el análisis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 8,  9,  1, 11, 15,  4,  7, 12,  3, 13, 14, 10,  6,  2,  5],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos[\"Comuna\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Agrego la palabra Comuna delante del dato numérico\n",
    "#se aplica la función lambda a cada fila del dataframe \n",
    "homicidios_hechos[\"Comuna\"] = homicidios_hechos.apply(lambda x: \"Comuna \"+str(x[\"Comuna\"]), axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Comuna 8', 'Comuna 9', 'Comuna 1', 'Comuna 11', 'Comuna 15',\n",
       "       'Comuna 4', 'Comuna 7', 'Comuna 12', 'Comuna 3', 'Comuna 13',\n",
       "       'Comuna 14', 'Comuna 10', 'Comuna 6', 'Comuna 2', 'Comuna 5'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_hechos[\"Comuna\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se realiza un resumen descriptivo de los datos en `homicidios-hechos`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_e8273 thead>tr>th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_e8273_row0_col0, #T_e8273_row1_col0, #T_e8273_row2_col0, #T_e8273_row3_col0, #T_e8273_row4_col0, #T_e8273_row5_col0, #T_e8273_row6_col0, #T_e8273_row7_col0, #T_e8273_row8_col0, #T_e8273_row9_col0, #T_e8273_row10_col0, #T_e8273_row11_col0, #T_e8273_row12_col0, #T_e8273_row13_col0, #T_e8273_row14_col0, #T_e8273_row15_col0, #T_e8273_row16_col0, #T_e8273_row17_col0, #T_e8273_row18_col0, #T_e8273_row19_col0, #T_e8273_row20_col0, #T_e8273_row21_col0, #T_e8273_row22_col0, #T_e8273_row23_col0 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 5%;\n",
       "  max-width: 50px;\n",
       "  min-width: 20px;\n",
       "}\n",
       "#T_e8273_row0_col1, #T_e8273_row1_col1, #T_e8273_row2_col1, #T_e8273_row3_col1, #T_e8273_row4_col1, #T_e8273_row5_col1, #T_e8273_row6_col1, #T_e8273_row7_col1, #T_e8273_row8_col1, #T_e8273_row9_col1, #T_e8273_row10_col1, #T_e8273_row11_col1, #T_e8273_row12_col1, #T_e8273_row13_col1, #T_e8273_row14_col1, #T_e8273_row15_col1, #T_e8273_row16_col1, #T_e8273_row17_col1, #T_e8273_row18_col1, #T_e8273_row19_col1, #T_e8273_row20_col1, #T_e8273_row21_col1, #T_e8273_row22_col1, #T_e8273_row23_col1 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 15%;\n",
       "  max-width: 200px;\n",
       "  min-width: 100px;\n",
       "  word-break: break-word;\n",
       "}\n",
       "#T_e8273_row0_col2, #T_e8273_row1_col2, #T_e8273_row2_col2, #T_e8273_row3_col2, #T_e8273_row4_col2, #T_e8273_row5_col2, #T_e8273_row6_col2, #T_e8273_row7_col2, #T_e8273_row8_col2, #T_e8273_row9_col2, #T_e8273_row10_col2, #T_e8273_row11_col2, #T_e8273_row12_col2, #T_e8273_row13_col2, #T_e8273_row14_col2, #T_e8273_row15_col2, #T_e8273_row16_col2, #T_e8273_row17_col2, #T_e8273_row18_col2, #T_e8273_row19_col2, #T_e8273_row20_col2, #T_e8273_row21_col2, #T_e8273_row22_col2, #T_e8273_row23_col2 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 30%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_e8273_row0_col3, #T_e8273_row1_col3, #T_e8273_row2_col3, #T_e8273_row3_col3, #T_e8273_row4_col3, #T_e8273_row5_col3, #T_e8273_row6_col3, #T_e8273_row7_col3, #T_e8273_row8_col3, #T_e8273_row9_col3, #T_e8273_row10_col3, #T_e8273_row11_col3, #T_e8273_row12_col3, #T_e8273_row13_col3, #T_e8273_row14_col3, #T_e8273_row15_col3, #T_e8273_row16_col3, #T_e8273_row17_col3, #T_e8273_row18_col3, #T_e8273_row19_col3, #T_e8273_row20_col3, #T_e8273_row21_col3, #T_e8273_row22_col3, #T_e8273_row23_col3 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 25%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_e8273_row0_col4, #T_e8273_row1_col4, #T_e8273_row2_col4, #T_e8273_row3_col4, #T_e8273_row4_col4, #T_e8273_row5_col4, #T_e8273_row6_col4, #T_e8273_row7_col4, #T_e8273_row8_col4, #T_e8273_row9_col4, #T_e8273_row10_col4, #T_e8273_row11_col4, #T_e8273_row12_col4, #T_e8273_row13_col4, #T_e8273_row14_col4, #T_e8273_row15_col4, #T_e8273_row16_col4, #T_e8273_row17_col4, #T_e8273_row18_col4, #T_e8273_row19_col4, #T_e8273_row20_col4, #T_e8273_row21_col4, #T_e8273_row22_col4, #T_e8273_row23_col4 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 20%;\n",
       "  min-width: 150px;\n",
       "}\n",
       "#T_e8273_row0_col5, #T_e8273_row1_col5, #T_e8273_row2_col5, #T_e8273_row3_col5, #T_e8273_row4_col5, #T_e8273_row5_col5, #T_e8273_row6_col5, #T_e8273_row7_col5, #T_e8273_row8_col5, #T_e8273_row9_col5, #T_e8273_row10_col5, #T_e8273_row11_col5, #T_e8273_row12_col5, #T_e8273_row13_col5, #T_e8273_row14_col5, #T_e8273_row15_col5, #T_e8273_row16_col5, #T_e8273_row17_col5, #T_e8273_row18_col5, #T_e8273_row19_col5, #T_e8273_row20_col5, #T_e8273_row21_col5, #T_e8273_row22_col5, #T_e8273_row23_col5 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 10%;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_e8273\">\n",
       "  <caption><strong>Data Frame Summary</strong><br>homicidios_hechos<br>Dimensions: 682 x 24<br>Duplicates: 0</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_e8273_level0_col0\" class=\"col_heading level0 col0\" >No</th>\n",
       "      <th id=\"T_e8273_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
       "      <th id=\"T_e8273_level0_col2\" class=\"col_heading level0 col2\" >Stats / Values</th>\n",
       "      <th id=\"T_e8273_level0_col3\" class=\"col_heading level0 col3\" >Freqs / (% of Valid)</th>\n",
       "      <th id=\"T_e8273_level0_col4\" class=\"col_heading level0 col4\" >Graph</th>\n",
       "      <th id=\"T_e8273_level0_col5\" class=\"col_heading level0 col5\" >Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_e8273_row0_col1\" class=\"data row0 col1\" ><strong>Id</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row0_col2\" class=\"data row0 col2\" >1. 2016-0001<br>2. 2019-0051<br>3. 2019-0043<br>4. 2019-0044<br>5. 2019-0045<br>6. 2019-0046<br>7. 2019-0047<br>8. 2019-0048<br>9. 2019-0049<br>10. 2019-0050<br>11. other</td>\n",
       "      <td id=\"T_e8273_row0_col3\" class=\"data row0 col3\" >1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>1 (0.1%)<br>672 (98.5%)</td>\n",
       "      <td id=\"T_e8273_row0_col4\" class=\"data row0 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row0_col5\" class=\"data row0 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_e8273_row1_col1\" class=\"data row1 col1\" ><strong>Num víctimas</strong><br>[int64]</td>\n",
       "      <td id=\"T_e8273_row1_col2\" class=\"data row1 col2\" >Mean (sd) : 1.0 (0.2)<br>min < med < max:<br>1.0 < 1.0 < 3.0<br>IQR (CV) : 0.0 (5.8)</td>\n",
       "      <td id=\"T_e8273_row1_col3\" class=\"data row1 col3\" >3 distinct values</td>\n",
       "      <td id=\"T_e8273_row1_col4\" class=\"data row1 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row1_col5\" class=\"data row1 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_e8273_row2_col1\" class=\"data row2 col1\" ><strong>Fecha</strong><br>[datetime64[ns]]</td>\n",
       "      <td id=\"T_e8273_row2_col2\" class=\"data row2 col2\" >Min: 2016-01-01<br>Max: 2021-12-30<br>Duration: 2,190 days</td>\n",
       "      <td id=\"T_e8273_row2_col3\" class=\"data row2 col3\" >589 distinct values</td>\n",
       "      <td id=\"T_e8273_row2_col4\" class=\"data row2 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row2_col5\" class=\"data row2 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_e8273_row3_col1\" class=\"data row3 col1\" ><strong>Año</strong><br>[int64]</td>\n",
       "      <td id=\"T_e8273_row3_col2\" class=\"data row3 col2\" >Mean (sd) : 2018.2 (1.7)<br>min < med < max:<br>2016.0 < 2018.0 < 2021.0<br>IQR (CV) : 3.0 (1201.6)</td>\n",
       "      <td id=\"T_e8273_row3_col3\" class=\"data row3 col3\" >6 distinct values</td>\n",
       "      <td id=\"T_e8273_row3_col4\" class=\"data row3 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAKoAAABGCAYAAABc8A97AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAACH0lEQVR4nO3cT2rCQBiG8W9aK9FFggheojfwED1sj9CFJ/AG7gSREa2hGtOFtCjYqvlD5jXPbx8zwsPQmX7o8jw3IHRPTS8AuEWn6QWEyjnXM7Nuwce/8jzfVrmetiPUC5xzveFw+BbH8aDI86vVaumceyfW6lwNtaU7SzeO48F4PN4mSZLe86D3PppMJoPFYtE1M8XvHqR/Q237zpIkSToajT4LPNqrfDEtd21HZWdBEG76G5WdBU3jegoSgj71t/QghwuCDbXtBzmcCzZU4yCHEyGHamYc5HDEYQoSCBUSCBUSCBUSCBUSCBUSCBUSCBUSgr/wb5uS8w1mDzrjQKgBKTvfYPa4Mw6EGpbC8w1mjz3jQKgBKjHfYNbgjEOdY5mEikrUPZZJqKhKrWOZhIpK1TWWyT0qJBAqJBAqJBAqJBAqJHDqx6+SF/bx4XB4qXI9pwgVZlb+wn6320VZlr2mafphZkX/q/YnQsWPUnMGs9lsMJ1O+/v9/rmOxREqzhS9sF8ul7XOGHCYggRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChQRChYSbfsjXex/d+8He+yjLso6Zxc65uxdmx9+E77Ts3YXf2/S71+t1ZGa22Wyi+Xzev+fZW975DQlR7747qywwAAAAAElFTkSuQmCC\"></img></td>\n",
       "      <td id=\"T_e8273_row3_col5\" class=\"data row3 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_e8273_row4_col1\" class=\"data row4 col1\" ><strong>Mes</strong><br>[int64]</td>\n",
       "      <td id=\"T_e8273_row4_col2\" class=\"data row4 col2\" >Mean (sd) : 6.7 (3.6)<br>min < med < max:<br>1.0 < 7.0 < 12.0<br>IQR (CV) : 6.0 (1.9)</td>\n",
       "      <td id=\"T_e8273_row4_col3\" class=\"data row4 col3\" >12 distinct values</td>\n",
       "      <td id=\"T_e8273_row4_col4\" class=\"data row4 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row4_col5\" class=\"data row4 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "      <td id=\"T_e8273_row5_col1\" class=\"data row5 col1\" ><strong>Día</strong><br>[int64]</td>\n",
       "      <td id=\"T_e8273_row5_col2\" class=\"data row5 col2\" >Mean (sd) : 15.9 (8.6)<br>min < med < max:<br>1.0 < 16.0 < 31.0<br>IQR (CV) : 14.0 (1.8)</td>\n",
       "      <td id=\"T_e8273_row5_col3\" class=\"data row5 col3\" >31 distinct values</td>\n",
       "      <td id=\"T_e8273_row5_col4\" class=\"data row5 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row5_col5\" class=\"data row5 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row6_col0\" class=\"data row6 col0\" >7</td>\n",
       "      <td id=\"T_e8273_row6_col1\" class=\"data row6 col1\" ><strong>Hora completa</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row6_col2\" class=\"data row6 col2\" >1. 16:00:00<br>2. 14:00:00<br>3. 12:30:00<br>4. 21:00:00<br>5. 09:00:00<br>6. 08:00:00<br>7. 05:30:00<br>8. 05:00:00<br>9. 23:00:00<br>10. 03:30:00<br>11. other</td>\n",
       "      <td id=\"T_e8273_row6_col3\" class=\"data row6 col3\" >10 (1.5%)<br>10 (1.5%)<br>10 (1.5%)<br>10 (1.5%)<br>9 (1.3%)<br>9 (1.3%)<br>8 (1.2%)<br>8 (1.2%)<br>8 (1.2%)<br>8 (1.2%)<br>592 (86.8%)</td>\n",
       "      <td id=\"T_e8273_row6_col4\" class=\"data row6 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row6_col5\" class=\"data row6 col5\" >1<br>(0.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row7_col0\" class=\"data row7 col0\" >8</td>\n",
       "      <td id=\"T_e8273_row7_col1\" class=\"data row7 col1\" ><strong>Hora</strong><br>[Int64]</td>\n",
       "      <td id=\"T_e8273_row7_col2\" class=\"data row7 col2\" >Mean (sd) : 11.7 (6.7)<br>min < med < max:<br>0.0 < 11.0 < 23.0<br>IQR (CV) : 11.0 (1.8)</td>\n",
       "      <td id=\"T_e8273_row7_col3\" class=\"data row7 col3\" >24 distinct values</td>\n",
       "      <td id=\"T_e8273_row7_col4\" class=\"data row7 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row7_col5\" class=\"data row7 col5\" >1<br>(0.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row8_col0\" class=\"data row8 col0\" >9</td>\n",
       "      <td id=\"T_e8273_row8_col1\" class=\"data row8 col1\" ><strong>Lugar del hecho</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row8_col2\" class=\"data row8 col2\" >1. AV 27 DE FEBRERO Y AV ESCALADA<br>2. AV AMANCIO ALCORTA Y BONAVENA<br>3. AV LA PLATA Y CNEL GREGORIO PO<br>4. Rivadavia Av. y Pedernera<br>5. SAN PEDRITO AV. Y DIRECTORIO A<br>6. PAZ, GRAL. AV. Y DEL LIBERTADO<br>7. Nazca Av. y Rivadavia Av.<br>8. AV. INDEPENDENCIA Y VIRREY CEV<br>9. CASTILLO, RAMON S., PRES. AV. <br>10. CORDOBA AV. Y MADERO, EDUARDO <br>11. other</td>\n",
       "      <td id=\"T_e8273_row8_col3\" class=\"data row8 col3\" >4 (0.6%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>660 (96.8%)</td>\n",
       "      <td id=\"T_e8273_row8_col4\" class=\"data row8 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row8_col5\" class=\"data row8 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row9_col0\" class=\"data row9 col0\" >10</td>\n",
       "      <td id=\"T_e8273_row9_col1\" class=\"data row9 col1\" ><strong>Tipo de calle</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row9_col2\" class=\"data row9 col2\" >1. AVENIDA<br>2. CALLE<br>3. GRAL PAZ<br>4. AUTOPISTA</td>\n",
       "      <td id=\"T_e8273_row9_col3\" class=\"data row9 col3\" >429 (62.9%)<br>134 (19.6%)<br>64 (9.4%)<br>55 (8.1%)</td>\n",
       "      <td id=\"T_e8273_row9_col4\" class=\"data row9 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row9_col5\" class=\"data row9 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row10_col0\" class=\"data row10 col0\" >11</td>\n",
       "      <td id=\"T_e8273_row10_col1\" class=\"data row10 col1\" ><strong>Calle</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row10_col2\" class=\"data row10 col2\" >1. PAZ, GRAL. AV.<br>2. RIVADAVIA AV.<br>3. DEL LIBERTADOR AV.<br>4. ALBERDI, JUAN BAUTISTA AV.<br>5. AUTOPISTA 1 SUR PRESIDENTE ART<br>6. AUTOPISTA PERITO MORENO<br>7. CORRIENTES AV.<br>8. SAN MARTIN AV.<br>9. CORDOBA AV.<br>10. AUTOPISTA 25 DE MAYO<br>11. other</td>\n",
       "      <td id=\"T_e8273_row10_col3\" class=\"data row10 col3\" >57 (8.4%)<br>19 (2.8%)<br>18 (2.6%)<br>13 (1.9%)<br>12 (1.8%)<br>11 (1.6%)<br>11 (1.6%)<br>10 (1.5%)<br>10 (1.5%)<br>10 (1.5%)<br>511 (74.9%)</td>\n",
       "      <td id=\"T_e8273_row10_col4\" class=\"data row10 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row10_col5\" class=\"data row10 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row11_col0\" class=\"data row11 col0\" >12</td>\n",
       "      <td id=\"T_e8273_row11_col1\" class=\"data row11 col1\" ><strong>Cruce</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row11_col2\" class=\"data row11 col2\" >1. nan<br>2. PAZ, GRAL. AV.<br>3. ESCALADA AV.<br>4. RIVADAVIA AV.<br>5. INDEPENDENCIA AV.<br>6. PUEYRREDON AV.<br>7. BALBIN, RICARDO, DR. AV.<br>8. DEL LIBERTADOR AV.<br>9. ROCA, CNEL. AV.<br>10. RIVERA INDARTE AV.<br>11. other</td>\n",
       "      <td id=\"T_e8273_row11_col3\" class=\"data row11 col3\" >157 (23.0%)<br>14 (2.1%)<br>9 (1.3%)<br>8 (1.2%)<br>7 (1.0%)<br>6 (0.9%)<br>6 (0.9%)<br>6 (0.9%)<br>5 (0.7%)<br>5 (0.7%)<br>459 (67.3%)</td>\n",
       "      <td id=\"T_e8273_row11_col4\" class=\"data row11 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row11_col5\" class=\"data row11 col5\" >157<br>(23.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row12_col0\" class=\"data row12 col0\" >13</td>\n",
       "      <td id=\"T_e8273_row12_col1\" class=\"data row12 col1\" ><strong>Dirección normalizada</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row12_col2\" class=\"data row12 col2\" >1. 27 DE FEBRERO AV. y ESCALADA A<br>2. PAZ, GRAL. AV. y DEL LIBERTADO<br>3. PAZ, GRAL. AV. y BALBIN, RICAR<br>4. DEL LIBERTADOR AV. y RAMOS MEJ<br>5. ALCORTA, AMANCIO AV. y BONAVEN<br>6. CASTILLO, RAMON S., PRES. AV. <br>7. INDEPENDENCIA AV. y CEVALLOS, <br>8. PAZ, GRAL. AV. y DE LOS CORRAL<br>9. AUTOPISTA 1 SUR PRESIDENTE ART<br>10. ALBERDI, JUAN BAUTISTA AV. y G<br>11. other</td>\n",
       "      <td id=\"T_e8273_row12_col3\" class=\"data row12 col3\" >5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>650 (95.3%)</td>\n",
       "      <td id=\"T_e8273_row12_col4\" class=\"data row12 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row12_col5\" class=\"data row12 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row13_col0\" class=\"data row13 col0\" >14</td>\n",
       "      <td id=\"T_e8273_row13_col1\" class=\"data row13 col1\" ><strong>Comuna</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row13_col2\" class=\"data row13 col2\" >1. Comuna 1<br>2. Comuna 4<br>3. Comuna 9<br>4. Comuna 8<br>5. Comuna 7<br>6. Comuna 3<br>7. Comuna 15<br>8. Comuna 13<br>9. Comuna 12<br>10. Comuna 11<br>11. other</td>\n",
       "      <td id=\"T_e8273_row13_col3\" class=\"data row13 col3\" >90 (13.2%)<br>72 (10.6%)<br>71 (10.4%)<br>64 (9.4%)<br>59 (8.7%)<br>45 (6.6%)<br>44 (6.5%)<br>39 (5.7%)<br>37 (5.4%)<br>32 (4.7%)<br>129 (18.9%)</td>\n",
       "      <td id=\"T_e8273_row13_col4\" class=\"data row13 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row13_col5\" class=\"data row13 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row14_col0\" class=\"data row14 col0\" >15</td>\n",
       "      <td id=\"T_e8273_row14_col1\" class=\"data row14 col1\" ><strong>Xy (caba)</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row14_col2\" class=\"data row14 col2\" >1. Point (101721.59002217 93844.2<br>2. Point (96563.66494817 108815.7<br>3. Point (99620.34936816 110483.2<br>4. Point (95832.05571093 95505.41<br>5. Point (106817.01972475 101248.<br>6. Point (99327.01838497 92326.91<br>7. Point (94486.28631712 103468.5<br>8. Point (104283.01090451 97171.0<br>9. Point (97801.31825511 99194.93<br>10. Point (99418.67591727 99840.67<br>11. other</td>\n",
       "      <td id=\"T_e8273_row14_col3\" class=\"data row14 col3\" >5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>647 (94.9%)</td>\n",
       "      <td id=\"T_e8273_row14_col4\" class=\"data row14 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row14_col5\" class=\"data row14 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row15_col0\" class=\"data row15 col0\" >16</td>\n",
       "      <td id=\"T_e8273_row15_col1\" class=\"data row15 col1\" ><strong>Pos x</strong><br>[float64]</td>\n",
       "      <td id=\"T_e8273_row15_col2\" class=\"data row15 col2\" >Mean (sd) : -58.4 (0.0)<br>min < med < max:<br>-58.5 < -58.4 < -58.4<br>IQR (CV) : 0.1 (-1266.9)</td>\n",
       "      <td id=\"T_e8273_row15_col3\" class=\"data row15 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_e8273_row15_col4\" class=\"data row15 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAKoAAABGCAYAAABc8A97AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAACsUlEQVR4nO3cTY7aQBBA4eowjAxIthAR7LhApCxYcogcNkcIEifgBuyQLGSEMxbGOKtEE2kyg7vduMt5397QiydDtX9MXdcChO5T1wsA7vHU9QJ8McaMROTZ4SMudV2/tLUeuOllqMaY0Ww2+xbH8dT2M06n09EY851Yw9DLUEXkOY7j6Xq9fkmSpGh6cJZl0Xa7naZp+iwihBqAvoYqIiJJkhTz+fyn5eGjVhcDJwxTUIFQoQKhQoVe/0dFMyFv6REqRCT8LT1CxW9Bb+kR6j9UVTUUkdgYY3O42qtaoW7pEeob8jwflmX5dblcDgaDQeOzC1e12keob7hcLk9RFI1Xq1WxWCyOTY7lqpYfhPqOyWRi+zNo/RMY8uTdJUINSOiTd5cINSxBT95dItQAuUzeVVXFYrdbEd9ut6HNdz4CofaIy25FWZZRVVVfiqL4ISK221PeBB2qw2AR9NnBF5fdiv1+P93tduPr9TrwtT4XwYbqMliEfnbwzWa34ng8Bn3/bbChisNgEfrZAc2FHKqI2A0WoZ8d0Bz3o0IFQoUKhAoVCBUqECpUIFSoQKhQIfh9VI0cHmP5Ly/93oNQW9bnG0O6RKgt6/ONIV0iVE/6eGNIlz4M1fEZnl4+v4PHezdU12d4+vr8Dh7vozOq9a12WZZFm81mnqbpZ2PMyWJtTMD4467/qDa32rm+xIEJGK95G6Zcpl8RJmD8zfvUb/sSByZgvMYlVKjAPipa4/MNiISKVvh+AyKhohW+34BIqGiVrzcgMkxBBUKFCoQKFQgVKhAqVCBUqECoUIFQoQKhQgVChQqEChUIFSoQKlQgVKhAqFCBUKECoUIFQoUKhAoVCBUqECpUIFSoQKhQ4a7n+rMsi5p+8Pl8jkRE8jyPDofD+JHHa/1uret2Pf6evn4BxfS5vrMdq4UAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_e8273_row15_col5\" class=\"data row15 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row16_col0\" class=\"data row16 col0\" >17</td>\n",
       "      <td id=\"T_e8273_row16_col1\" class=\"data row16 col1\" ><strong>Pos y</strong><br>[float64]</td>\n",
       "      <td id=\"T_e8273_row16_col2\" class=\"data row16 col2\" >Mean (sd) : -34.6 (0.0)<br>min < med < max:<br>-34.7 < -34.6 < -34.5<br>IQR (CV) : 0.0 (-981.1)</td>\n",
       "      <td id=\"T_e8273_row16_col3\" class=\"data row16 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_e8273_row16_col4\" class=\"data row16 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row16_col5\" class=\"data row16 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row17_col0\" class=\"data row17 col0\" >18</td>\n",
       "      <td id=\"T_e8273_row17_col1\" class=\"data row17 col1\" ><strong>Participantes</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row17_col2\" class=\"data row17 col2\" >1. PEATON-PASAJEROS<br>2. MOTO-AUTO<br>3. PEATON-AUTO<br>4. MOTO-CARGAS<br>5. MOTO-PASAJEROS<br>6. MOTO-OBJETO FIJO<br>7. PEATON-CARGAS<br>8. PEATON-MOTO<br>9. AUTO-AUTO<br>10. MOTO-MOTO<br>11. other</td>\n",
       "      <td id=\"T_e8273_row17_col3\" class=\"data row17 col3\" >105 (15.4%)<br>83 (12.2%)<br>76 (11.1%)<br>73 (10.7%)<br>45 (6.6%)<br>39 (5.7%)<br>37 (5.4%)<br>30 (4.4%)<br>30 (4.4%)<br>25 (3.7%)<br>139 (20.4%)</td>\n",
       "      <td id=\"T_e8273_row17_col4\" class=\"data row17 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row17_col5\" class=\"data row17 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row18_col0\" class=\"data row18 col0\" >19</td>\n",
       "      <td id=\"T_e8273_row18_col1\" class=\"data row18 col1\" ><strong>Victima</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row18_col2\" class=\"data row18 col2\" >1. MOTO<br>2. PEATON<br>3. AUTO<br>4. BICICLETA<br>5. CARGAS<br>6. nan<br>7. PASAJEROS<br>8. MOVIL<br>9. OBJETO FIJO<br>10. PEATON_MOTO</td>\n",
       "      <td id=\"T_e8273_row18_col3\" class=\"data row18 col3\" >287 (42.1%)<br>261 (38.3%)<br>82 (12.0%)<br>29 (4.3%)<br>7 (1.0%)<br>7 (1.0%)<br>5 (0.7%)<br>2 (0.3%)<br>1 (0.1%)<br>1 (0.1%)</td>\n",
       "      <td id=\"T_e8273_row18_col4\" class=\"data row18 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row18_col5\" class=\"data row18 col5\" >7<br>(1.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row19_col0\" class=\"data row19 col0\" >20</td>\n",
       "      <td id=\"T_e8273_row19_col1\" class=\"data row19 col1\" ><strong>Acusado</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row19_col2\" class=\"data row19 col2\" >1. AUTO<br>2. PASAJEROS<br>3. CARGAS<br>4. OBJETO FIJO<br>5. MOTO<br>6. nan<br>7. MULTIPLE<br>8. BICICLETA<br>9. OTRO<br>10. TREN</td>\n",
       "      <td id=\"T_e8273_row19_col3\" class=\"data row19 col3\" >202 (29.6%)<br>172 (25.2%)<br>140 (20.5%)<br>61 (8.9%)<br>57 (8.4%)<br>19 (2.8%)<br>17 (2.5%)<br>7 (1.0%)<br>6 (0.9%)<br>1 (0.1%)</td>\n",
       "      <td id=\"T_e8273_row19_col4\" class=\"data row19 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row19_col5\" class=\"data row19 col5\" >19<br>(2.8%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row20_col0\" class=\"data row20 col0\" >21</td>\n",
       "      <td id=\"T_e8273_row20_col1\" class=\"data row20 col1\" ><strong>Coordenada x</strong><br>[float64]</td>\n",
       "      <td id=\"T_e8273_row20_col2\" class=\"data row20 col2\" >Mean (sd) : 101991.0 (4230.3)<br>min < med < max:<br>93889.9 < 101721.6 < 109831.1<br>IQR (CV) : 6823.1 (24.1)</td>\n",
       "      <td id=\"T_e8273_row20_col3\" class=\"data row20 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_e8273_row20_col4\" class=\"data row20 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row20_col5\" class=\"data row20 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row21_col0\" class=\"data row21 col0\" >22</td>\n",
       "      <td id=\"T_e8273_row21_col1\" class=\"data row21 col1\" ><strong>Coordenada y</strong><br>[float64]</td>\n",
       "      <td id=\"T_e8273_row21_col2\" class=\"data row21 col2\" >Mean (sd) : 101078.5 (3914.6)<br>min < med < max:<br>91571.2 < 100708.2 < 110496.1<br>IQR (CV) : 5227.1 (25.8)</td>\n",
       "      <td id=\"T_e8273_row21_col3\" class=\"data row21 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_e8273_row21_col4\" class=\"data row21 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row21_col5\" class=\"data row21 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row22_col0\" class=\"data row22 col0\" >23</td>\n",
       "      <td id=\"T_e8273_row22_col1\" class=\"data row22 col1\" ><strong>Barrios</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row22_col2\" class=\"data row22 col2\" >1. CONSTITUCION - MONTSERRAT - PU<br>2. BARRACAS - BOCA - NUEVA POMPEY<br>3. LINIERS - MATADEROS - PARQUE A<br>4. VILLA LUGANO - VILLA RIACHUELO<br>5. FLORES - PARQUE CHACABUCO<br>6. BALVANERA - SAN CRISTOBAL<br>7. AGRONOMIA - CHACARITA -  PARQU<br>8. BELGRANO - COLEGIALES - NUÃ‘EZ<br>9. COGHLAN - SAAVEDRA - VILLA PUE<br>10. VILLA DEL PARQUE - VILLA  DEVO<br>11. other</td>\n",
       "      <td id=\"T_e8273_row22_col3\" class=\"data row22 col3\" >90 (13.2%)<br>72 (10.6%)<br>71 (10.4%)<br>64 (9.4%)<br>59 (8.7%)<br>45 (6.6%)<br>44 (6.5%)<br>39 (5.7%)<br>37 (5.4%)<br>32 (4.7%)<br>129 (18.9%)</td>\n",
       "      <td id=\"T_e8273_row22_col4\" class=\"data row22 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row22_col5\" class=\"data row22 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e8273_row23_col0\" class=\"data row23 col0\" >24</td>\n",
       "      <td id=\"T_e8273_row23_col1\" class=\"data row23 col1\" ><strong>Día semana</strong><br>[object]</td>\n",
       "      <td id=\"T_e8273_row23_col2\" class=\"data row23 col2\" >1. Sabado<br>2. Lunes<br>3. Miercoles<br>4. Domingo<br>5. Martes<br>6. Viernes<br>7. Jueves</td>\n",
       "      <td id=\"T_e8273_row23_col3\" class=\"data row23 col3\" >102 (15.0%)<br>102 (15.0%)<br>97 (14.2%)<br>96 (14.1%)<br>96 (14.1%)<br>95 (13.9%)<br>94 (13.8%)</td>\n",
       "      <td id=\"T_e8273_row23_col4\" class=\"data row23 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_e8273_row23_col5\" class=\"data row23 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x27878484a40>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSummary(homicidios_hechos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tratamiento de los datos del dataset `homicidios- víctimas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 717 entries, 0 to 716\n",
      "Data columns (total 10 columns):\n",
      " #   Column               Non-Null Count  Dtype         \n",
      "---  ------               --------------  -----         \n",
      " 0   ID_hecho             717 non-null    object        \n",
      " 1   FECHA                717 non-null    datetime64[ns]\n",
      " 2   AAAA                 717 non-null    int64         \n",
      " 3   MM                   717 non-null    int64         \n",
      " 4   DD                   717 non-null    int64         \n",
      " 5   ROL                  717 non-null    object        \n",
      " 6   VICTIMA              717 non-null    object        \n",
      " 7   SEXO                 717 non-null    object        \n",
      " 8   EDAD                 717 non-null    object        \n",
      " 9   FECHA_FALLECIMIENTO  717 non-null    object        \n",
      "dtypes: datetime64[ns](1), int64(3), object(6)\n",
      "memory usage: 56.1+ KB\n"
     ]
    }
   ],
   "source": [
    "homicidios_victimas.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transformación de los datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conversión del tipo de dato"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cambio la columna a tipo datetime\n",
    "homicidios_victimas[\"FECHA_FALLECIMIENTO\"] = pd.to_datetime(homicidios_victimas[\"FECHA_FALLECIMIENTO\"], format='%Y-%m-%d', errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Una vez que se paso el tipo de dato a datetime que es una fecha y hora completa se utiliza este codigo para que solo se quede en formato fecha sin hora\n",
    "homicidios_victimas[\"FECHA_FALLECIMIENTO\"] = homicidios_victimas[\"FECHA_FALLECIMIENTO\"].dt.date\n",
    "\n",
    "#Luego se reemplazan las fechas en cero con espacios vacios a fin de su manipulación\n",
    "homicidios_victimas[\"FECHA_FALLECIMIENTO\"] = homicidios_victimas [\"FECHA_FALLECIMIENTO\"].replace(pd.NaT,\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cambio la columna edad a numerico y luego a tipo entero\n",
    "homicidios_victimas [\"EDAD\"] = pd.to_numeric(homicidios_victimas[\"EDAD\"], errors=\"coerce\")\n",
    "homicidios_victimas [\"EDAD\"] = homicidios_victimas[\"EDAD\"].astype(\"Int64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Utilizo Numpy para reemplazar por NaN los sin datos o vacios y luego paso a float para que cuando quiera aplicar estadisticas no tenga errores debido a esos datos\n",
    "homicidios_victimas[\"EDAD\"] = homicidios_victimas[\"EDAD\"].replace([\" \",\"SD\"], np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "homicidios_victimas[\"EDAD\"] = homicidios_victimas[\"EDAD\"].fillna(0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IntegerArray>\n",
       "[19, 70, 30, 18, 29, 22, 16, 59, 65, 34, 41, 50, 38, 21, 52, 36, 20, 54,  0,\n",
       " 56, 24, 78, 79, 26, 57, 37, 58, 23, 60, 42, 53, 51, 40, 87, 76, 75, 35, 80,\n",
       " 43, 45, 67, 27, 55, 49, 81, 25, 33, 46, 83, 39, 28,  7, 48,  4, 82, 32, 17,\n",
       " 47, 61, 10, 95, 73, 84, 66, 85,  1, 15, 13, 77, 44, 31, 62, 74, 71, 11, 86,\n",
       " 69, 72, 12, 63, 92, 68, 91, 64,  5, 88]\n",
       "Length: 86, dtype: Int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Controlo los datos de la columna\n",
    "homicidios_victimas [\"EDAD\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>ID_hecho</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>ROL</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>SEXO</th>\n",
       "      <th>EDAD</th>\n",
       "      <th>FECHA_FALLECIMIENTO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>19</td>\n",
       "      <td>2016-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</td>\n",
       "      <td>2016-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-01-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID_hecho      FECHA  AAAA  MM  DD        ROL VICTIMA       SEXO  EDAD  \\\n",
       "0  2016-0001 2016-01-01  2016   1   1  CONDUCTOR    MOTO  MASCULINO    19   \n",
       "1  2016-0002 2016-01-02  2016   1   2  CONDUCTOR    AUTO  MASCULINO    70   \n",
       "2  2016-0003 2016-01-03  2016   1   3  CONDUCTOR    MOTO  MASCULINO    30   \n",
       "\n",
       "  FECHA_FALLECIMIENTO  \n",
       "0          2016-01-01  \n",
       "1          2016-01-02  \n",
       "2          2016-01-03  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_victimas.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID_hecho               0\n",
       "FECHA                  0\n",
       "AAAA                   0\n",
       "MM                     0\n",
       "DD                     0\n",
       "ROL                    0\n",
       "VICTIMA                0\n",
       "SEXO                   0\n",
       "EDAD                   0\n",
       "FECHA_FALLECIMIENTO    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_victimas.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No se encuentran datos nulos, ni campos vacios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se crea la columna `Rango etario` basada en la columna `Edad`, para mejorar el análisis de los datos "
   ]
  },
  {
   "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>ID_hecho</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>AAAA</th>\n",
       "      <th>MM</th>\n",
       "      <th>DD</th>\n",
       "      <th>ROL</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>SEXO</th>\n",
       "      <th>EDAD</th>\n",
       "      <th>FECHA_FALLECIMIENTO</th>\n",
       "      <th>Rango_etario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>19</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Menos de 20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>Entre 61-80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>Entre 21- 40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID_hecho      FECHA  AAAA  MM  DD        ROL VICTIMA       SEXO  EDAD  \\\n",
       "0  2016-0001 2016-01-01  2016   1   1  CONDUCTOR    MOTO  MASCULINO    19   \n",
       "1  2016-0002 2016-01-02  2016   1   2  CONDUCTOR    AUTO  MASCULINO    70   \n",
       "2  2016-0003 2016-01-03  2016   1   3  CONDUCTOR    MOTO  MASCULINO    30   \n",
       "\n",
       "  FECHA_FALLECIMIENTO   Rango_etario  \n",
       "0          2016-01-01    Menos de 20  \n",
       "1          2016-01-02    Entre 61-80  \n",
       "2          2016-01-03   Entre 21- 40  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Se utiliza la función `pd.cut()`, que permite agrupar valores numéricos en intervalos o categorías\n",
    "\n",
    "\n",
    "# Definir los límites de los rangos etarios y las etiquetas\n",
    "bins = [0, 20, 40, 60, 80, 100]\n",
    "labels = ['Menos de 20', ' Entre 21- 40', 'Entre 41-60', 'Entre 61-80', 'Más de 80']\n",
    "\n",
    "# Utilizar pd.cut() para crear la columna de rango etario\n",
    "homicidios_victimas['Rango_etario'] = pd.cut(homicidios_victimas['EDAD'], bins=bins, labels=labels, right=False)\n",
    "\n",
    "homicidios_victimas.head(3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación se estandarizan las mayúsculas y minúsculas del dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Fecha', 'Año', 'Mes', 'Día', 'Rol', 'Víctima', 'Sexo', 'Edad',\n",
       "       'Fecha fallecimiento', 'Rango etario'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se coloca la primera en mayúscula\n",
    "homicidios_victimas.columns = [x.capitalize() for x in homicidios_victimas.columns]\n",
    "# Se reemplazan los guiones por espacios\n",
    "homicidios_victimas.columns = homicidios_victimas.columns.str.replace('_', ' ')\n",
    "# Se renombran algunas columnas\n",
    "homicidios_victimas = homicidios_victimas.rename(columns={'Id hecho': 'Id',\n",
    "                                                      'Aaaa':'Año',\n",
    "                                                      'Mm':'Mes',\n",
    "                                                      'Dd':'Día',\n",
    "                                                      'Victima':'Víctima'})\n",
    "homicidios_victimas.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de los datos, se analiza eliminar columnas que se repiten en ambos dataset para realizar luego la unión y trabajar con un conjunto de datos.\n",
    "Se proceden a eliminar del dataset `homicidios_victimas` las columnas `Fecha`, `Año`, `Mes`, `Día` y `Victima` que contienen la misma información que se encuentra en `homicidios_hechos`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>Id</th>\n",
       "      <th>Num víctimas</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Hora completa</th>\n",
       "      <th>Hora</th>\n",
       "      <th>Lugar del hecho</th>\n",
       "      <th>Tipo de calle</th>\n",
       "      <th>...</th>\n",
       "      <th>Xy (caba)</th>\n",
       "      <th>Pos x</th>\n",
       "      <th>Pos y</th>\n",
       "      <th>Participantes</th>\n",
       "      <th>Victima</th>\n",
       "      <th>Acusado</th>\n",
       "      <th>Coordenada x</th>\n",
       "      <th>Coordenada y</th>\n",
       "      <th>Barrios</th>\n",
       "      <th>Día semana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2019-0012</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-02-17</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>03:16:00</td>\n",
       "      <td>3</td>\n",
       "      <td>CASTAÑARES AV. Y GORDILLO, TIMOTEO</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (98072.98959434 94742.80804806)</td>\n",
       "      <td>-58.484327</td>\n",
       "      <td>-34.676658</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>98072.989594</td>\n",
       "      <td>94742.808048</td>\n",
       "      <td>VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI</td>\n",
       "      <td>Domingo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Id  Num víctimas      Fecha   Año  Mes  Día Hora completa  Hora  \\\n",
       "418  2019-0012             1 2019-02-17  2019    2   17      03:16:00     3   \n",
       "\n",
       "                        Lugar del hecho Tipo de calle  ...  \\\n",
       "418  CASTAÑARES AV. Y GORDILLO, TIMOTEO       AVENIDA  ...   \n",
       "\n",
       "                                 Xy (caba)      Pos x      Pos y  \\\n",
       "418  Point (98072.98959434 94742.80804806) -58.484327 -34.676658   \n",
       "\n",
       "    Participantes Victima  Acusado  Coordenada x  Coordenada y  \\\n",
       "418     MOTO-AUTO    MOTO     AUTO  98072.989594  94742.808048   \n",
       "\n",
       "                                            Barrios Día semana  \n",
       "418  VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI    Domingo  \n",
       "\n",
       "[1 rows x 24 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Se busca un registro para comparar con el mismo registro en el otro dataset\n",
    "homicidios_hechos[homicidios_hechos[\"Id\"]==\"2019-0012\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>Id</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Rol</th>\n",
       "      <th>Víctima</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Edad</th>\n",
       "      <th>Fecha fallecimiento</th>\n",
       "      <th>Rango etario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2019-0012</td>\n",
       "      <td>2019-02-17</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>31</td>\n",
       "      <td>2019-02-20</td>\n",
       "      <td>Entre 21- 40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Id      Fecha   Año  Mes  Día        Rol Víctima       Sexo  Edad  \\\n",
       "447  2019-0012 2019-02-17  2019    2   17  CONDUCTOR    MOTO  MASCULINO    31   \n",
       "\n",
       "    Fecha fallecimiento   Rango etario  \n",
       "447          2019-02-20   Entre 21- 40  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios_victimas[homicidios_victimas[\"Id\"]==\"2019-0012\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se realiza un resumen descriptivo de los datos en `homicidios-victimas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_a8acb thead>tr>th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_a8acb_row0_col0, #T_a8acb_row1_col0, #T_a8acb_row2_col0, #T_a8acb_row3_col0, #T_a8acb_row4_col0, #T_a8acb_row5_col0, #T_a8acb_row6_col0, #T_a8acb_row7_col0, #T_a8acb_row8_col0, #T_a8acb_row9_col0, #T_a8acb_row10_col0 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 5%;\n",
       "  max-width: 50px;\n",
       "  min-width: 20px;\n",
       "}\n",
       "#T_a8acb_row0_col1, #T_a8acb_row1_col1, #T_a8acb_row2_col1, #T_a8acb_row3_col1, #T_a8acb_row4_col1, #T_a8acb_row5_col1, #T_a8acb_row6_col1, #T_a8acb_row7_col1, #T_a8acb_row8_col1, #T_a8acb_row9_col1, #T_a8acb_row10_col1 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 15%;\n",
       "  max-width: 200px;\n",
       "  min-width: 100px;\n",
       "  word-break: break-word;\n",
       "}\n",
       "#T_a8acb_row0_col2, #T_a8acb_row1_col2, #T_a8acb_row2_col2, #T_a8acb_row3_col2, #T_a8acb_row4_col2, #T_a8acb_row5_col2, #T_a8acb_row6_col2, #T_a8acb_row7_col2, #T_a8acb_row8_col2, #T_a8acb_row9_col2, #T_a8acb_row10_col2 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 30%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_a8acb_row0_col3, #T_a8acb_row1_col3, #T_a8acb_row2_col3, #T_a8acb_row3_col3, #T_a8acb_row4_col3, #T_a8acb_row5_col3, #T_a8acb_row6_col3, #T_a8acb_row7_col3, #T_a8acb_row8_col3, #T_a8acb_row9_col3, #T_a8acb_row10_col3 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 25%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_a8acb_row0_col4, #T_a8acb_row1_col4, #T_a8acb_row2_col4, #T_a8acb_row3_col4, #T_a8acb_row4_col4, #T_a8acb_row5_col4, #T_a8acb_row6_col4, #T_a8acb_row7_col4, #T_a8acb_row8_col4, #T_a8acb_row9_col4, #T_a8acb_row10_col4 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 20%;\n",
       "  min-width: 150px;\n",
       "}\n",
       "#T_a8acb_row0_col5, #T_a8acb_row1_col5, #T_a8acb_row2_col5, #T_a8acb_row3_col5, #T_a8acb_row4_col5, #T_a8acb_row5_col5, #T_a8acb_row6_col5, #T_a8acb_row7_col5, #T_a8acb_row8_col5, #T_a8acb_row9_col5, #T_a8acb_row10_col5 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 10%;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_a8acb\">\n",
       "  <caption><strong>Data Frame Summary</strong><br>homicidios_victimas<br>Dimensions: 717 x 11<br>Duplicates: 0</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_a8acb_level0_col0\" class=\"col_heading level0 col0\" >No</th>\n",
       "      <th id=\"T_a8acb_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
       "      <th id=\"T_a8acb_level0_col2\" class=\"col_heading level0 col2\" >Stats / Values</th>\n",
       "      <th id=\"T_a8acb_level0_col3\" class=\"col_heading level0 col3\" >Freqs / (% of Valid)</th>\n",
       "      <th id=\"T_a8acb_level0_col4\" class=\"col_heading level0 col4\" >Graph</th>\n",
       "      <th id=\"T_a8acb_level0_col5\" class=\"col_heading level0 col5\" >Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_a8acb_row0_col1\" class=\"data row0 col1\" ><strong>Id</strong><br>[object]</td>\n",
       "      <td id=\"T_a8acb_row0_col2\" class=\"data row0 col2\" >1. 2017-0035<br>2. 2017-0050<br>3. 2016-0041<br>4. 2018-0015<br>5. 2020-0063<br>6. 2017-0126<br>7. 2019-0010<br>8. 2017-0026<br>9. 2017-0112<br>10. 2018-0098<br>11. other</td>\n",
       "      <td id=\"T_a8acb_row0_col3\" class=\"data row0 col3\" >3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>696 (97.1%)</td>\n",
       "      <td id=\"T_a8acb_row0_col4\" class=\"data row0 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row0_col5\" class=\"data row0 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_a8acb_row1_col1\" class=\"data row1 col1\" ><strong>Fecha</strong><br>[datetime64[ns]]</td>\n",
       "      <td id=\"T_a8acb_row1_col2\" class=\"data row1 col2\" >Min: 2016-01-01<br>Max: 2021-12-30<br>Duration: 2,190 days</td>\n",
       "      <td id=\"T_a8acb_row1_col3\" class=\"data row1 col3\" >598 distinct values</td>\n",
       "      <td id=\"T_a8acb_row1_col4\" class=\"data row1 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row1_col5\" class=\"data row1 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_a8acb_row2_col1\" class=\"data row2 col1\" ><strong>Año</strong><br>[int64]</td>\n",
       "      <td id=\"T_a8acb_row2_col2\" class=\"data row2 col2\" >Mean (sd) : 2018.2 (1.7)<br>min < med < max:<br>2016.0 < 2018.0 < 2021.0<br>IQR (CV) : 2.0 (1206.6)</td>\n",
       "      <td id=\"T_a8acb_row2_col3\" class=\"data row2 col3\" >6 distinct values</td>\n",
       "      <td id=\"T_a8acb_row2_col4\" class=\"data row2 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row2_col5\" class=\"data row2 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_a8acb_row3_col1\" class=\"data row3 col1\" ><strong>Mes</strong><br>[int64]</td>\n",
       "      <td id=\"T_a8acb_row3_col2\" class=\"data row3 col2\" >Mean (sd) : 6.7 (3.6)<br>min < med < max:<br>1.0 < 7.0 < 12.0<br>IQR (CV) : 6.0 (1.9)</td>\n",
       "      <td id=\"T_a8acb_row3_col3\" class=\"data row3 col3\" >12 distinct values</td>\n",
       "      <td id=\"T_a8acb_row3_col4\" class=\"data row3 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row3_col5\" class=\"data row3 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_a8acb_row4_col1\" class=\"data row4 col1\" ><strong>Día</strong><br>[int64]</td>\n",
       "      <td id=\"T_a8acb_row4_col2\" class=\"data row4 col2\" >Mean (sd) : 16.0 (8.7)<br>min < med < max:<br>1.0 < 16.0 < 31.0<br>IQR (CV) : 14.0 (1.8)</td>\n",
       "      <td id=\"T_a8acb_row4_col3\" class=\"data row4 col3\" >31 distinct values</td>\n",
       "      <td id=\"T_a8acb_row4_col4\" class=\"data row4 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAKoAAABGCAYAAABc8A97AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAACw0lEQVR4nO3bwU4aQRzH8f8U0VHMbhCDN1/ApAcTLzxAj33YPoIHDp59A28mhECkElagp6YxrbKz48j8tt/PFcfFyTc7/91Et91uDcjdl31/AaCOg31/AbSHc+7YzA4bLl9tt9vntz5sbaiRm2a2Y+PwmnPueDAYfC+Kot9k/Xw+nzrnfry1560MNXbTzHZvHP5yWBRFfzQaPZdluQxZOJvN/Hg87k8mk0Mz+39CtYhNM6u3cfi3siyXw+HwZ4Olx+992NZQzSxq08x2bBw+V6tDVbTP2Try2sVms+k2XLsToWZkn7N17LWrqvLr9fpquVzemlnTU+xNhJqXfc7WUdd+eHjo39/fn7y8vHRC19ZBqAlEHKHFZrPplmU53dds3XSun06nSWf6naGmfImbs/V63TWzwjkXutSfnZ19K8uyF7ow9fGp7N1QU7/EzdVisehWVfX18vKy0+l0go7Bqqq8mV3d3NzcnZ+fz0PWpj4+le26oyZ9iZur1Wp14L0/ub6+Xl5cXExD1v6OzXtfhR6hH3F8RpwESZ/aY9WaUVO9xM1dr9cL/rtTz2rviT0Jch47eJhqkY84CXIdO7IONfbp+aO/jwq1k6CObEONeZDL/RhDuKShRgz2ZmbF6enpcDQazUMf5HI/xhAuWagxg73Zn7vi0dHRbduOMYRLFmrMYG/GXRGvJZ9Rmwz2ZtwV8Rr/3AcJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJhAoJB3V+aDab+dBf/PT05M3MFouFf3x8PPnM9arXVv3esevr9PULgF+Sv5JQtrsAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_a8acb_row4_col5\" class=\"data row4 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "      <td id=\"T_a8acb_row5_col1\" class=\"data row5 col1\" ><strong>Rol</strong><br>[object]</td>\n",
       "      <td id=\"T_a8acb_row5_col2\" class=\"data row5 col2\" >1. CONDUCTOR<br>2. PEATON<br>3. PASAJERO_ACOMPAÑANTE<br>4. CICLISTA<br>5. SD</td>\n",
       "      <td id=\"T_a8acb_row5_col3\" class=\"data row5 col3\" >330 (46.0%)<br>267 (37.2%)<br>80 (11.2%)<br>29 (4.0%)<br>11 (1.5%)</td>\n",
       "      <td id=\"T_a8acb_row5_col4\" class=\"data row5 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row5_col5\" class=\"data row5 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row6_col0\" class=\"data row6 col0\" >7</td>\n",
       "      <td id=\"T_a8acb_row6_col1\" class=\"data row6 col1\" ><strong>Víctima</strong><br>[object]</td>\n",
       "      <td id=\"T_a8acb_row6_col2\" class=\"data row6 col2\" >1. MOTO<br>2. PEATON<br>3. AUTO<br>4. BICICLETA<br>5. SD<br>6. CARGAS<br>7. PASAJEROS<br>8. MOVIL</td>\n",
       "      <td id=\"T_a8acb_row6_col3\" class=\"data row6 col3\" >303 (42.3%)<br>267 (37.2%)<br>94 (13.1%)<br>29 (4.0%)<br>9 (1.3%)<br>7 (1.0%)<br>5 (0.7%)<br>3 (0.4%)</td>\n",
       "      <td id=\"T_a8acb_row6_col4\" class=\"data row6 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row6_col5\" class=\"data row6 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row7_col0\" class=\"data row7 col0\" >8</td>\n",
       "      <td id=\"T_a8acb_row7_col1\" class=\"data row7 col1\" ><strong>Sexo</strong><br>[object]</td>\n",
       "      <td id=\"T_a8acb_row7_col2\" class=\"data row7 col2\" >1. MASCULINO<br>2. FEMENINO<br>3. SD</td>\n",
       "      <td id=\"T_a8acb_row7_col3\" class=\"data row7 col3\" >545 (76.0%)<br>166 (23.2%)<br>6 (0.8%)</td>\n",
       "      <td id=\"T_a8acb_row7_col4\" class=\"data row7 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row7_col5\" class=\"data row7 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row8_col0\" class=\"data row8 col0\" >9</td>\n",
       "      <td id=\"T_a8acb_row8_col1\" class=\"data row8 col1\" ><strong>Edad</strong><br>[Int64]</td>\n",
       "      <td id=\"T_a8acb_row8_col2\" class=\"data row8 col2\" >Mean (sd) : 39.1 (22.0)<br>min < med < max:<br>0.0 < 35.0 < 95.0<br>IQR (CV) : 31.0 (1.8)</td>\n",
       "      <td id=\"T_a8acb_row8_col3\" class=\"data row8 col3\" >86 distinct values</td>\n",
       "      <td id=\"T_a8acb_row8_col4\" class=\"data row8 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row8_col5\" class=\"data row8 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row9_col0\" class=\"data row9 col0\" >10</td>\n",
       "      <td id=\"T_a8acb_row9_col1\" class=\"data row9 col1\" ><strong>Fecha fallecimiento</strong><br>[object]</td>\n",
       "      <td id=\"T_a8acb_row9_col2\" class=\"data row9 col2\" >1. <br>2. 2018-04-27<br>3. 2018-08-03<br>4. 2020-12-25<br>5. 2017-11-19<br>6. 2019-12-18<br>7. 2017-01-16<br>8. 2017-02-26<br>9. 2017-03-23<br>10. 2020-12-20<br>11. other</td>\n",
       "      <td id=\"T_a8acb_row9_col3\" class=\"data row9 col3\" >69 (9.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>621 (86.6%)</td>\n",
       "      <td id=\"T_a8acb_row9_col4\" class=\"data row9 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAD+CAYAAAAtWHdlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAD2klEQVR4nO3cQWrbaACG4d/FhGYjYQw+jA+Rw84hdBtjrEUTsvEsms5ioExrnLfT9Hn2Ml68yIr4v2yu1+uAwqdf/QX4c4iNjNjIiI2M2MiIjYzYyIiNjNjIbMYYj2OMhxuvf71er893/D58YNv9fv80TdPulovXdT1vNpu/BMeP2E7TtDsej8/zPL/8zIWXy+Xzsiy70+n0MMYQG/9pO8YY8zy/HA6HLzdc/3jn78MH5g8EMmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjsx3j69m0n73wlmv4s23XdT0vy7IbN5xNW9f1PMZ4vf/X4iOyQSCz8S+zqHy7sw13KN7bdr/fP40xhpUU7+3TNE27tynfrc9t8EO8ZyMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiI7N9G62MYbjCO3MsnIzBCxl3NjIGL2QMXsh49UFGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERsbghYxj4WQMXsh4ZiPjZ5SMdRUZ6yoyntnIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MhYV5FxLJyMdRUZdzYyBi9kDF7IePVBRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEbG4IWMY+FkDF7IuLORMXghY/BCxqsPMmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiNjXUXGBoGMdRUZdzYy1lVkrKvIePVBRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEbG4IWMY+FkDF7IuLORMXghY/BCxqsPMmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyBi9kHAsnY/BCxjMbGT+jZKyryFhXkfHMRkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGxrqKjGPhZKyryLizkTF4IWPwQsarDzJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MgYvZBwLJ2PwQubbnc2RcP7t9d6/dtv9fv/0tkGAf6zrer73CGo7TdPueDw+z/P8cq8P5fd2uVw+L8uyO51OD2OM+8U2xhjzPL8cDocv9/pQPoTHe3+g92xkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxktmN8PVLyq78I/x/v1cN2Xdfzsiy78Q5HSvh9vQ2h7jqCciyc77n7sXCDFzL+QCAjNjJiIyM2MmIjIzYyYiMjNjJiI/M39lYwBaK1HHgAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_a8acb_row9_col5\" class=\"data row9 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8acb_row10_col0\" class=\"data row10 col0\" >11</td>\n",
       "      <td id=\"T_a8acb_row10_col1\" class=\"data row10 col1\" ><strong>Rango etario</strong><br>[category]</td>\n",
       "      <td id=\"T_a8acb_row10_col2\" class=\"data row10 col2\" >1.  Entre 21- 40<br>2. Entre 41-60<br>3. Entre 61-80<br>4. Menos de 20<br>5. Más de 80</td>\n",
       "      <td id=\"T_a8acb_row10_col3\" class=\"data row10 col3\" >327 (45.6%)<br>158 (22.0%)<br>99 (13.8%)<br>93 (13.0%)<br>40 (5.6%)</td>\n",
       "      <td id=\"T_a8acb_row10_col4\" class=\"data row10 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_a8acb_row10_col5\" class=\"data row10 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2787c2975f0>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSummary(homicidios_victimas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Rol', 'Sexo', 'Edad', 'Fecha fallecimiento', 'Rango etario'], dtype='object')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se eliminan las columnas repetidas\n",
    "homicidios_victimas = homicidios_victimas.drop(['Fecha', 'Año', 'Mes', 'Día', 'Víctima'], axis=1)\n",
    "homicidios_victimas.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unificación de los dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por medio de la función merge se unifican los dataset transformados anteriormente"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Rol', 'Sexo', 'Edad', 'Fecha fallecimiento', 'Rango etario',\n",
       "       'Num víctimas', 'Fecha', 'Año', 'Mes', 'Día', 'Hora completa', 'Hora',\n",
       "       'Lugar del hecho', 'Tipo de calle', 'Calle', 'Cruce',\n",
       "       'Dirección normalizada', 'Comuna', 'Xy (caba)', 'Pos x', 'Pos y',\n",
       "       'Participantes', 'Victima', 'Acusado', 'Coordenada x', 'Coordenada y',\n",
       "       'Barrios', 'Día semana'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros= homicidios_victimas.merge(homicidios_hechos, on=\"Id\", how=\"left\")\n",
    "siniestros.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 717 entries, 0 to 716\n",
      "Data columns (total 29 columns):\n",
      " #   Column                 Non-Null Count  Dtype         \n",
      "---  ------                 --------------  -----         \n",
      " 0   Id                     717 non-null    object        \n",
      " 1   Rol                    717 non-null    object        \n",
      " 2   Sexo                   717 non-null    object        \n",
      " 3   Edad                   717 non-null    Int64         \n",
      " 4   Fecha fallecimiento    717 non-null    object        \n",
      " 5   Rango etario           717 non-null    category      \n",
      " 6   Num víctimas           702 non-null    float64       \n",
      " 7   Fecha                  702 non-null    datetime64[ns]\n",
      " 8   Año                    702 non-null    float64       \n",
      " 9   Mes                    702 non-null    float64       \n",
      " 10  Día                    702 non-null    float64       \n",
      " 11  Hora completa          701 non-null    object        \n",
      " 12  Hora                   701 non-null    Int64         \n",
      " 13  Lugar del hecho        702 non-null    object        \n",
      " 14  Tipo de calle          702 non-null    object        \n",
      " 15  Calle                  702 non-null    object        \n",
      " 16  Cruce                  540 non-null    object        \n",
      " 17  Dirección normalizada  702 non-null    object        \n",
      " 18  Comuna                 702 non-null    object        \n",
      " 19  Xy (caba)              702 non-null    object        \n",
      " 20  Pos x                  702 non-null    float64       \n",
      " 21  Pos y                  702 non-null    float64       \n",
      " 22  Participantes          702 non-null    object        \n",
      " 23  Victima                695 non-null    object        \n",
      " 24  Acusado                683 non-null    object        \n",
      " 25  Coordenada x           702 non-null    float64       \n",
      " 26  Coordenada y           702 non-null    float64       \n",
      " 27  Barrios                702 non-null    object        \n",
      " 28  Día semana             702 non-null    object        \n",
      "dtypes: Int64(2), category(1), datetime64[ns](1), float64(8), object(17)\n",
      "memory usage: 159.3+ KB\n"
     ]
    }
   ],
   "source": [
    "siniestros.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al unificar los dataset se encontraron datos cambiados a tipo float que son necesarios como enteros, por lo que se transforman"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.,  2., nan,  3.])"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros[\"Num víctimas\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "siniestros [\"Num víctimas\"] = siniestros [\"Num víctimas\"].fillna(0.0)\n",
    "siniestros [\"Num víctimas\"] = siniestros [\"Num víctimas\"].astype (\"Int64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IntegerArray>\n",
       "[1, 2, 0, 3]\n",
       "Length: 4, dtype: Int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros[\"Num víctimas\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2016.,   nan, 2017., 2018., 2019., 2020., 2021.])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros[\"Año\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IntegerArray>\n",
       "[2016, <NA>, 2017, 2018, 2019, 2020, 2021]\n",
       "Length: 7, dtype: Int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros [\"Año\"]= siniestros [\"Año\"].astype (\"Int64\")\n",
    "siniestros[\"Año\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IntegerArray>\n",
       "[1, 2, 3, 4, <NA>, 5, 6, 7, 8, 9, 10, 11, 12]\n",
       "Length: 13, dtype: Int64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros [\"Mes\"]= siniestros [\"Mes\"].astype (\"Int64\")\n",
    "siniestros[\"Mes\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IntegerArray>\n",
       "[   1,    2,    3,   10,   21,   24,   29,    8,   14,   15,   17,   28,    4,\n",
       "   12,   13,   19,   23,   30,   31,   11, <NA>,   20,   22,   25,   26,   16,\n",
       "   18,   27,    7,    9,    5,    6]\n",
       "Length: 32, dtype: Int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros [\"Día\"]= siniestros [\"Día\"].astype (\"Int64\")\n",
    "siniestros[\"Día\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>Id</th>\n",
       "      <th>Rol</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Edad</th>\n",
       "      <th>Fecha fallecimiento</th>\n",
       "      <th>Rango etario</th>\n",
       "      <th>Num víctimas</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>...</th>\n",
       "      <th>Xy (caba)</th>\n",
       "      <th>Pos x</th>\n",
       "      <th>Pos y</th>\n",
       "      <th>Participantes</th>\n",
       "      <th>Victima</th>\n",
       "      <th>Acusado</th>\n",
       "      <th>Coordenada x</th>\n",
       "      <th>Coordenada y</th>\n",
       "      <th>Barrios</th>\n",
       "      <th>Día semana</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>19</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>Menos de 20</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>98896.782384</td>\n",
       "      <td>93532.434378</td>\n",
       "      <td>VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI</td>\n",
       "      <td>Viernes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>Entre 61-80</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>95832.055711</td>\n",
       "      <td>95505.416420</td>\n",
       "      <td>LINIERS - MATADEROS - PARQUE AVELLANEDA</td>\n",
       "      <td>Sabado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>30</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>Entre 21- 40</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>106684.290900</td>\n",
       "      <td>99706.576878</td>\n",
       "      <td>CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...</td>\n",
       "      <td>Domingo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Id        Rol       Sexo  Edad Fecha fallecimiento   Rango etario  \\\n",
       "0  2016-0001  CONDUCTOR  MASCULINO    19          2016-01-01    Menos de 20   \n",
       "1  2016-0002  CONDUCTOR  MASCULINO    70          2016-01-02    Entre 61-80   \n",
       "2  2016-0003  CONDUCTOR  MASCULINO    30          2016-01-03   Entre 21- 40   \n",
       "\n",
       "   Num víctimas      Fecha   Año  Mes  ...  \\\n",
       "0             1 2016-01-01  2016    1  ...   \n",
       "1             1 2016-01-02  2016    1  ...   \n",
       "2             1 2016-01-03  2016    1  ...   \n",
       "\n",
       "                                Xy (caba)      Pos x      Pos y  \\\n",
       "0   Point (98896.78238426 93532.43437792) -58.475340 -34.687570   \n",
       "1   Point (95832.05571093 95505.41641999) -58.508775 -34.669777   \n",
       "2  Point (106684.29090040 99706.57687843) -58.390403 -34.631894   \n",
       "\n",
       "    Participantes Victima    Acusado   Coordenada x  Coordenada y  \\\n",
       "0       MOTO-AUTO    MOTO       AUTO   98896.782384  93532.434378   \n",
       "1  AUTO-PASAJEROS    AUTO  PASAJEROS   95832.055711  95505.416420   \n",
       "2       MOTO-AUTO    MOTO       AUTO  106684.290900  99706.576878   \n",
       "\n",
       "                                             Barrios Día semana  \n",
       "0     VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI    Viernes  \n",
       "1            LINIERS - MATADEROS - PARQUE AVELLANEDA     Sabado  \n",
       "2  CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...    Domingo  \n",
       "\n",
       "[3 rows x 29 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se realiza un resumen descriptivo de los datos de `siniestros` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "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>Edad</th>\n",
       "      <th>Num víctimas</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Hora</th>\n",
       "      <th>Pos x</th>\n",
       "      <th>Pos y</th>\n",
       "      <th>Coordenada x</th>\n",
       "      <th>Coordenada y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>717.0</td>\n",
       "      <td>717.0</td>\n",
       "      <td>702</td>\n",
       "      <td>702.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>702.000000</td>\n",
       "      <td>702.000000</td>\n",
       "      <td>702.000000</td>\n",
       "      <td>702.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>39.050209</td>\n",
       "      <td>1.037657</td>\n",
       "      <td>2018-09-15 17:48:43.076922880</td>\n",
       "      <td>2018.192308</td>\n",
       "      <td>6.693732</td>\n",
       "      <td>15.92735</td>\n",
       "      <td>11.573466</td>\n",
       "      <td>-58.441710</td>\n",
       "      <td>-34.619609</td>\n",
       "      <td>101980.113004</td>\n",
       "      <td>101070.596233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-01-01 00:00:00</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-58.529942</td>\n",
       "      <td>-34.705250</td>\n",
       "      <td>93889.867899</td>\n",
       "      <td>91571.233073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2017-04-05 18:00:00</td>\n",
       "      <td>2017.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-58.476995</td>\n",
       "      <td>-34.643801</td>\n",
       "      <td>98744.378735</td>\n",
       "      <td>98387.965943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2018-07-14 12:00:00</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-58.444513</td>\n",
       "      <td>-34.622835</td>\n",
       "      <td>101721.590022</td>\n",
       "      <td>100711.696729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019-12-20 06:00:00</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>-58.401892</td>\n",
       "      <td>-34.596969</td>\n",
       "      <td>105630.884244</td>\n",
       "      <td>103582.742374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>95.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2021-12-30 00:00:00</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-58.356082</td>\n",
       "      <td>-34.534654</td>\n",
       "      <td>109831.098614</td>\n",
       "      <td>110496.053085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>22.010669</td>\n",
       "      <td>0.294226</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.669154</td>\n",
       "      <td>3.584551</td>\n",
       "      <td>8.657478</td>\n",
       "      <td>6.667562</td>\n",
       "      <td>0.046383</td>\n",
       "      <td>0.035291</td>\n",
       "      <td>4253.717694</td>\n",
       "      <td>3914.938863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Edad  Num víctimas                          Fecha          Año  \\\n",
       "count      717.0         717.0                            702        702.0   \n",
       "mean   39.050209      1.037657  2018-09-15 17:48:43.076922880  2018.192308   \n",
       "min          0.0           0.0            2016-01-01 00:00:00       2016.0   \n",
       "25%         24.0           1.0            2017-04-05 18:00:00       2017.0   \n",
       "50%         35.0           1.0            2018-07-14 12:00:00       2018.0   \n",
       "75%         55.0           1.0            2019-12-20 06:00:00       2019.0   \n",
       "max         95.0           3.0            2021-12-30 00:00:00       2021.0   \n",
       "std    22.010669      0.294226                            NaN     1.669154   \n",
       "\n",
       "            Mes       Día       Hora       Pos x       Pos y   Coordenada x  \\\n",
       "count     702.0     702.0      701.0  702.000000  702.000000     702.000000   \n",
       "mean   6.693732  15.92735  11.573466  -58.441710  -34.619609  101980.113004   \n",
       "min         1.0       1.0        0.0  -58.529942  -34.705250   93889.867899   \n",
       "25%        3.25       9.0        6.0  -58.476995  -34.643801   98744.378735   \n",
       "50%         7.0      16.0       11.0  -58.444513  -34.622835  101721.590022   \n",
       "75%        10.0      23.0       17.0  -58.401892  -34.596969  105630.884244   \n",
       "max        12.0      31.0       23.0  -58.356082  -34.534654  109831.098614   \n",
       "std    3.584551  8.657478   6.667562    0.046383    0.035291    4253.717694   \n",
       "\n",
       "        Coordenada y  \n",
       "count     702.000000  \n",
       "mean   101070.596233  \n",
       "min     91571.233073  \n",
       "25%     98387.965943  \n",
       "50%    100711.696729  \n",
       "75%    103582.742374  \n",
       "max    110496.053085  \n",
       "std      3914.938863  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_25f4c thead>tr>th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_25f4c_row0_col0, #T_25f4c_row1_col0, #T_25f4c_row2_col0, #T_25f4c_row3_col0, #T_25f4c_row4_col0, #T_25f4c_row5_col0, #T_25f4c_row6_col0, #T_25f4c_row7_col0, #T_25f4c_row8_col0, #T_25f4c_row9_col0, #T_25f4c_row10_col0, #T_25f4c_row11_col0, #T_25f4c_row12_col0, #T_25f4c_row13_col0, #T_25f4c_row14_col0, #T_25f4c_row15_col0, #T_25f4c_row16_col0, #T_25f4c_row17_col0, #T_25f4c_row18_col0, #T_25f4c_row19_col0, #T_25f4c_row20_col0, #T_25f4c_row21_col0, #T_25f4c_row22_col0, #T_25f4c_row23_col0, #T_25f4c_row24_col0, #T_25f4c_row25_col0, #T_25f4c_row26_col0, #T_25f4c_row27_col0, #T_25f4c_row28_col0 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 5%;\n",
       "  max-width: 50px;\n",
       "  min-width: 20px;\n",
       "}\n",
       "#T_25f4c_row0_col1, #T_25f4c_row1_col1, #T_25f4c_row2_col1, #T_25f4c_row3_col1, #T_25f4c_row4_col1, #T_25f4c_row5_col1, #T_25f4c_row6_col1, #T_25f4c_row7_col1, #T_25f4c_row8_col1, #T_25f4c_row9_col1, #T_25f4c_row10_col1, #T_25f4c_row11_col1, #T_25f4c_row12_col1, #T_25f4c_row13_col1, #T_25f4c_row14_col1, #T_25f4c_row15_col1, #T_25f4c_row16_col1, #T_25f4c_row17_col1, #T_25f4c_row18_col1, #T_25f4c_row19_col1, #T_25f4c_row20_col1, #T_25f4c_row21_col1, #T_25f4c_row22_col1, #T_25f4c_row23_col1, #T_25f4c_row24_col1, #T_25f4c_row25_col1, #T_25f4c_row26_col1, #T_25f4c_row27_col1, #T_25f4c_row28_col1 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 15%;\n",
       "  max-width: 200px;\n",
       "  min-width: 100px;\n",
       "  word-break: break-word;\n",
       "}\n",
       "#T_25f4c_row0_col2, #T_25f4c_row1_col2, #T_25f4c_row2_col2, #T_25f4c_row3_col2, #T_25f4c_row4_col2, #T_25f4c_row5_col2, #T_25f4c_row6_col2, #T_25f4c_row7_col2, #T_25f4c_row8_col2, #T_25f4c_row9_col2, #T_25f4c_row10_col2, #T_25f4c_row11_col2, #T_25f4c_row12_col2, #T_25f4c_row13_col2, #T_25f4c_row14_col2, #T_25f4c_row15_col2, #T_25f4c_row16_col2, #T_25f4c_row17_col2, #T_25f4c_row18_col2, #T_25f4c_row19_col2, #T_25f4c_row20_col2, #T_25f4c_row21_col2, #T_25f4c_row22_col2, #T_25f4c_row23_col2, #T_25f4c_row24_col2, #T_25f4c_row25_col2, #T_25f4c_row26_col2, #T_25f4c_row27_col2, #T_25f4c_row28_col2 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 30%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_25f4c_row0_col3, #T_25f4c_row1_col3, #T_25f4c_row2_col3, #T_25f4c_row3_col3, #T_25f4c_row4_col3, #T_25f4c_row5_col3, #T_25f4c_row6_col3, #T_25f4c_row7_col3, #T_25f4c_row8_col3, #T_25f4c_row9_col3, #T_25f4c_row10_col3, #T_25f4c_row11_col3, #T_25f4c_row12_col3, #T_25f4c_row13_col3, #T_25f4c_row14_col3, #T_25f4c_row15_col3, #T_25f4c_row16_col3, #T_25f4c_row17_col3, #T_25f4c_row18_col3, #T_25f4c_row19_col3, #T_25f4c_row20_col3, #T_25f4c_row21_col3, #T_25f4c_row22_col3, #T_25f4c_row23_col3, #T_25f4c_row24_col3, #T_25f4c_row25_col3, #T_25f4c_row26_col3, #T_25f4c_row27_col3, #T_25f4c_row28_col3 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 25%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_25f4c_row0_col4, #T_25f4c_row1_col4, #T_25f4c_row2_col4, #T_25f4c_row3_col4, #T_25f4c_row4_col4, #T_25f4c_row5_col4, #T_25f4c_row6_col4, #T_25f4c_row7_col4, #T_25f4c_row8_col4, #T_25f4c_row9_col4, #T_25f4c_row10_col4, #T_25f4c_row11_col4, #T_25f4c_row12_col4, #T_25f4c_row13_col4, #T_25f4c_row14_col4, #T_25f4c_row15_col4, #T_25f4c_row16_col4, #T_25f4c_row17_col4, #T_25f4c_row18_col4, #T_25f4c_row19_col4, #T_25f4c_row20_col4, #T_25f4c_row21_col4, #T_25f4c_row22_col4, #T_25f4c_row23_col4, #T_25f4c_row24_col4, #T_25f4c_row25_col4, #T_25f4c_row26_col4, #T_25f4c_row27_col4, #T_25f4c_row28_col4 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 20%;\n",
       "  min-width: 150px;\n",
       "}\n",
       "#T_25f4c_row0_col5, #T_25f4c_row1_col5, #T_25f4c_row2_col5, #T_25f4c_row3_col5, #T_25f4c_row4_col5, #T_25f4c_row5_col5, #T_25f4c_row6_col5, #T_25f4c_row7_col5, #T_25f4c_row8_col5, #T_25f4c_row9_col5, #T_25f4c_row10_col5, #T_25f4c_row11_col5, #T_25f4c_row12_col5, #T_25f4c_row13_col5, #T_25f4c_row14_col5, #T_25f4c_row15_col5, #T_25f4c_row16_col5, #T_25f4c_row17_col5, #T_25f4c_row18_col5, #T_25f4c_row19_col5, #T_25f4c_row20_col5, #T_25f4c_row21_col5, #T_25f4c_row22_col5, #T_25f4c_row23_col5, #T_25f4c_row24_col5, #T_25f4c_row25_col5, #T_25f4c_row26_col5, #T_25f4c_row27_col5, #T_25f4c_row28_col5 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 10%;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_25f4c\">\n",
       "  <caption><strong>Data Frame Summary</strong><br>siniestros<br>Dimensions: 717 x 29<br>Duplicates: 0</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_25f4c_level0_col0\" class=\"col_heading level0 col0\" >No</th>\n",
       "      <th id=\"T_25f4c_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
       "      <th id=\"T_25f4c_level0_col2\" class=\"col_heading level0 col2\" >Stats / Values</th>\n",
       "      <th id=\"T_25f4c_level0_col3\" class=\"col_heading level0 col3\" >Freqs / (% of Valid)</th>\n",
       "      <th id=\"T_25f4c_level0_col4\" class=\"col_heading level0 col4\" >Graph</th>\n",
       "      <th id=\"T_25f4c_level0_col5\" class=\"col_heading level0 col5\" >Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_25f4c_row0_col1\" class=\"data row0 col1\" ><strong>Id</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row0_col2\" class=\"data row0 col2\" >1. 2017-0035<br>2. 2017-0050<br>3. 2016-0041<br>4. 2018-0015<br>5. 2020-0063<br>6. 2017-0126<br>7. 2019-0010<br>8. 2017-0026<br>9. 2017-0112<br>10. 2018-0098<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row0_col3\" class=\"data row0 col3\" >3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>696 (97.1%)</td>\n",
       "      <td id=\"T_25f4c_row0_col4\" class=\"data row0 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row0_col5\" class=\"data row0 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_25f4c_row1_col1\" class=\"data row1 col1\" ><strong>Rol</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row1_col2\" class=\"data row1 col2\" >1. CONDUCTOR<br>2. PEATON<br>3. PASAJERO_ACOMPAÑANTE<br>4. CICLISTA<br>5. SD</td>\n",
       "      <td id=\"T_25f4c_row1_col3\" class=\"data row1 col3\" >330 (46.0%)<br>267 (37.2%)<br>80 (11.2%)<br>29 (4.0%)<br>11 (1.5%)</td>\n",
       "      <td id=\"T_25f4c_row1_col4\" class=\"data row1 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row1_col5\" class=\"data row1 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_25f4c_row2_col1\" class=\"data row2 col1\" ><strong>Sexo</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row2_col2\" class=\"data row2 col2\" >1. MASCULINO<br>2. FEMENINO<br>3. SD</td>\n",
       "      <td id=\"T_25f4c_row2_col3\" class=\"data row2 col3\" >545 (76.0%)<br>166 (23.2%)<br>6 (0.8%)</td>\n",
       "      <td id=\"T_25f4c_row2_col4\" class=\"data row2 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row2_col5\" class=\"data row2 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_25f4c_row3_col1\" class=\"data row3 col1\" ><strong>Edad</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row3_col2\" class=\"data row3 col2\" >Mean (sd) : 39.1 (22.0)<br>min < med < max:<br>0.0 < 35.0 < 95.0<br>IQR (CV) : 31.0 (1.8)</td>\n",
       "      <td id=\"T_25f4c_row3_col3\" class=\"data row3 col3\" >86 distinct values</td>\n",
       "      <td id=\"T_25f4c_row3_col4\" class=\"data row3 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row3_col5\" class=\"data row3 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_25f4c_row4_col1\" class=\"data row4 col1\" ><strong>Fecha fallecimiento</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row4_col2\" class=\"data row4 col2\" >1. <br>2. 2018-04-27<br>3. 2018-08-03<br>4. 2020-12-25<br>5. 2017-11-19<br>6. 2019-12-18<br>7. 2017-01-16<br>8. 2017-02-26<br>9. 2017-03-23<br>10. 2020-12-20<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row4_col3\" class=\"data row4 col3\" >69 (9.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>621 (86.6%)</td>\n",
       "      <td id=\"T_25f4c_row4_col4\" class=\"data row4 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row4_col5\" class=\"data row4 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "      <td id=\"T_25f4c_row5_col1\" class=\"data row5 col1\" ><strong>Rango etario</strong><br>[category]</td>\n",
       "      <td id=\"T_25f4c_row5_col2\" class=\"data row5 col2\" >1.  Entre 21- 40<br>2. Entre 41-60<br>3. Entre 61-80<br>4. Menos de 20<br>5. Más de 80</td>\n",
       "      <td id=\"T_25f4c_row5_col3\" class=\"data row5 col3\" >327 (45.6%)<br>158 (22.0%)<br>99 (13.8%)<br>93 (13.0%)<br>40 (5.6%)</td>\n",
       "      <td id=\"T_25f4c_row5_col4\" class=\"data row5 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAABzCAYAAACPdnBjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAACSklEQVR4nO3bS2rjQABF0VIjQmciYQxejBfRi+1FaDfGWIMkZKIe9NCfGFJ6Eso5G0gRLhJl9Jppmgok/Fr6APwcYiNGbMQ0pZTXUsrL0gdZqc9pmt6XPsRWtPv9/k/XdbulD7JG4ziem6b5K7g62q7rdsfj8b3v+4+lD7Mml8vl9zAMu9Pp9FJKEVsFbSml9H3/cTgc3pY+zAq9Ln2ALXFBIEZsxIiNGLERIzZixEaM2IgRGzFiI0ZsxIiNGLERIzZi2lL+f06z9EHWxv+kvnYcx/MwDLvic5or4zieSymfS59jK3wW/pjPwitq7EZJcUEgZk2vUa+sjVvNusqSaftWsa6yZPoZ1rSu8tPLxrkgECM2YsRGjNiIERsxYiNGbMSIjRixESM2YsRGjNiIERsxq1hXLf33yVjNusqSaft8Fk6MdRUxLgjEzPUa9UrkyizrKkspbqm+rrKU4p651lWWUlxxQSBGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YqqvqyyluGeWdZWlFLf4LJwY6ypi5niyeapxU/XBi7EL91QdvBi78MgcgxdjF27yoy4xYiNGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YqquqyyreKT6usqyintsEIixriLm2SebpxXf9tS6ymKKGr5cV1lMUcuz6yqLKb7Nj7rEiI0YsREjNmLERozYiBEbMWIjRmzEiI0YsREjNmLERozYiPlyXWUxRS1PrasspqjBBoEY6ypiXBCIERsx/wDHMQ437G0P0AAAAABJRU5ErkJggg==\"></img></td>\n",
       "      <td id=\"T_25f4c_row5_col5\" class=\"data row5 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row6_col0\" class=\"data row6 col0\" >7</td>\n",
       "      <td id=\"T_25f4c_row6_col1\" class=\"data row6 col1\" ><strong>Num víctimas</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row6_col2\" class=\"data row6 col2\" >Mean (sd) : 1.0 (0.3)<br>min < med < max:<br>0.0 < 1.0 < 3.0<br>IQR (CV) : 0.0 (3.5)</td>\n",
       "      <td id=\"T_25f4c_row6_col3\" class=\"data row6 col3\" >4 distinct values</td>\n",
       "      <td id=\"T_25f4c_row6_col4\" class=\"data row6 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row6_col5\" class=\"data row6 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row7_col0\" class=\"data row7 col0\" >8</td>\n",
       "      <td id=\"T_25f4c_row7_col1\" class=\"data row7 col1\" ><strong>Fecha</strong><br>[datetime64[ns]]</td>\n",
       "      <td id=\"T_25f4c_row7_col2\" class=\"data row7 col2\" >Min: 2016-01-01<br>Max: 2021-12-30<br>Duration: 2,190 days</td>\n",
       "      <td id=\"T_25f4c_row7_col3\" class=\"data row7 col3\" >589 distinct values</td>\n",
       "      <td id=\"T_25f4c_row7_col4\" class=\"data row7 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row7_col5\" class=\"data row7 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row8_col0\" class=\"data row8 col0\" >9</td>\n",
       "      <td id=\"T_25f4c_row8_col1\" class=\"data row8 col1\" ><strong>Año</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row8_col2\" class=\"data row8 col2\" >Mean (sd) : 2018.2 (1.7)<br>min < med < max:<br>2016.0 < 2018.0 < 2021.0<br>IQR (CV) : 2.0 (1209.1)</td>\n",
       "      <td id=\"T_25f4c_row8_col3\" class=\"data row8 col3\" >6 distinct values</td>\n",
       "      <td id=\"T_25f4c_row8_col4\" class=\"data row8 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row8_col5\" class=\"data row8 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row9_col0\" class=\"data row9 col0\" >10</td>\n",
       "      <td id=\"T_25f4c_row9_col1\" class=\"data row9 col1\" ><strong>Mes</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row9_col2\" class=\"data row9 col2\" >Mean (sd) : 6.7 (3.6)<br>min < med < max:<br>1.0 < 7.0 < 12.0<br>IQR (CV) : 6.8 (1.9)</td>\n",
       "      <td id=\"T_25f4c_row9_col3\" class=\"data row9 col3\" >12 distinct values</td>\n",
       "      <td id=\"T_25f4c_row9_col4\" class=\"data row9 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row9_col5\" class=\"data row9 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row10_col0\" class=\"data row10 col0\" >11</td>\n",
       "      <td id=\"T_25f4c_row10_col1\" class=\"data row10 col1\" ><strong>Día</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row10_col2\" class=\"data row10 col2\" >Mean (sd) : 15.9 (8.7)<br>min < med < max:<br>1.0 < 16.0 < 31.0<br>IQR (CV) : 14.0 (1.8)</td>\n",
       "      <td id=\"T_25f4c_row10_col3\" class=\"data row10 col3\" >31 distinct values</td>\n",
       "      <td id=\"T_25f4c_row10_col4\" class=\"data row10 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row10_col5\" class=\"data row10 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row11_col0\" class=\"data row11 col0\" >12</td>\n",
       "      <td id=\"T_25f4c_row11_col1\" class=\"data row11 col1\" ><strong>Hora completa</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row11_col2\" class=\"data row11 col2\" >1. nan<br>2. 05:00:00<br>3. 16:00:00<br>4. 12:30:00<br>5. 21:00:00<br>6. 14:00:00<br>7. 11:00:00<br>8. 09:00:00<br>9. 08:00:00<br>10. 05:30:00<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row11_col3\" class=\"data row11 col3\" >16 (2.2%)<br>11 (1.5%)<br>10 (1.4%)<br>10 (1.4%)<br>10 (1.4%)<br>10 (1.4%)<br>9 (1.3%)<br>9 (1.3%)<br>9 (1.3%)<br>8 (1.1%)<br>615 (85.8%)</td>\n",
       "      <td id=\"T_25f4c_row11_col4\" class=\"data row11 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row11_col5\" class=\"data row11 col5\" >16<br>(2.2%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row12_col0\" class=\"data row12 col0\" >13</td>\n",
       "      <td id=\"T_25f4c_row12_col1\" class=\"data row12 col1\" ><strong>Hora</strong><br>[Int64]</td>\n",
       "      <td id=\"T_25f4c_row12_col2\" class=\"data row12 col2\" >Mean (sd) : 11.6 (6.7)<br>min < med < max:<br>0.0 < 11.0 < 23.0<br>IQR (CV) : 11.0 (1.7)</td>\n",
       "      <td id=\"T_25f4c_row12_col3\" class=\"data row12 col3\" >24 distinct values</td>\n",
       "      <td id=\"T_25f4c_row12_col4\" class=\"data row12 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row12_col5\" class=\"data row12 col5\" >16<br>(2.2%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row13_col0\" class=\"data row13 col0\" >14</td>\n",
       "      <td id=\"T_25f4c_row13_col1\" class=\"data row13 col1\" ><strong>Lugar del hecho</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row13_col2\" class=\"data row13 col2\" >1. nan<br>2. AV 27 DE FEBRERO Y AV ESCALADA<br>3. AV. DR. TRISTAN ACHAVAL RODRIG<br>4. Entre Rios Av. y Garay, Juan D<br>5. AV LA PLATA Y CNEL GREGORIO PO<br>6. Rivadavia Av. y Pedernera<br>7. PAZ, GRAL. AV. Y DEL LIBERTADO<br>8. Paz, Gral. Av. 11200<br>9. AV. RIVADAVIA 1571<br>10. AV. GRAL. PAZ Y MACHAIN<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row13_col3\" class=\"data row13 col3\" >15 (2.1%)<br>4 (0.6%)<br>3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>681 (95.0%)</td>\n",
       "      <td id=\"T_25f4c_row13_col4\" class=\"data row13 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row13_col5\" class=\"data row13 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row14_col0\" class=\"data row14 col0\" >15</td>\n",
       "      <td id=\"T_25f4c_row14_col1\" class=\"data row14 col1\" ><strong>Tipo de calle</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row14_col2\" class=\"data row14 col2\" >1. AVENIDA<br>2. CALLE<br>3. GRAL PAZ<br>4. AUTOPISTA<br>5. nan</td>\n",
       "      <td id=\"T_25f4c_row14_col3\" class=\"data row14 col3\" >442 (61.6%)<br>136 (19.0%)<br>68 (9.5%)<br>56 (7.8%)<br>15 (2.1%)</td>\n",
       "      <td id=\"T_25f4c_row14_col4\" class=\"data row14 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row14_col5\" class=\"data row14 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row15_col0\" class=\"data row15 col0\" >16</td>\n",
       "      <td id=\"T_25f4c_row15_col1\" class=\"data row15 col1\" ><strong>Calle</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row15_col2\" class=\"data row15 col2\" >1. PAZ, GRAL. AV.<br>2. RIVADAVIA AV.<br>3. DEL LIBERTADOR AV.<br>4. nan<br>5. ALBERDI, JUAN BAUTISTA AV.<br>6. AUTOPISTA 1 SUR PRESIDENTE ART<br>7. CORRIENTES AV.<br>8. AUTOPISTA 25 DE MAYO<br>9. AUTOPISTA PERITO MORENO<br>10. SAN MARTIN AV.<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row15_col3\" class=\"data row15 col3\" >61 (8.5%)<br>20 (2.8%)<br>19 (2.6%)<br>15 (2.1%)<br>13 (1.8%)<br>12 (1.7%)<br>11 (1.5%)<br>11 (1.5%)<br>11 (1.5%)<br>11 (1.5%)<br>533 (74.3%)</td>\n",
       "      <td id=\"T_25f4c_row15_col4\" class=\"data row15 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row15_col5\" class=\"data row15 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row16_col0\" class=\"data row16 col0\" >17</td>\n",
       "      <td id=\"T_25f4c_row16_col1\" class=\"data row16 col1\" ><strong>Cruce</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row16_col2\" class=\"data row16 col2\" >1. nan<br>2. PAZ, GRAL. AV.<br>3. ESCALADA AV.<br>4. RIVADAVIA AV.<br>5. INDEPENDENCIA AV.<br>6. DEL LIBERTADOR AV.<br>7. BALBIN, RICARDO, DR. AV.<br>8. RIVERA INDARTE AV.<br>9. PUEYRREDON AV.<br>10. ALBERDI, JUAN BAUTISTA AV.<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row16_col3\" class=\"data row16 col3\" >177 (24.7%)<br>14 (2.0%)<br>9 (1.3%)<br>8 (1.1%)<br>7 (1.0%)<br>6 (0.8%)<br>6 (0.8%)<br>6 (0.8%)<br>6 (0.8%)<br>5 (0.7%)<br>473 (66.0%)</td>\n",
       "      <td id=\"T_25f4c_row16_col4\" class=\"data row16 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAD+CAYAAAAtWHdlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAEMUlEQVR4nO3cMW4bVwBF0S+CUKxmCIKAluEFcBFebBbBBXgfgqApTEWNUlhybCOleIeZnNO5+4AuhuTgP9+8vr4OKGyWPgD/H2IjIzYyYiMjNjJiIyM2MmIjIzYyN2OMuzHG7dIH+Rcvr6+v56UPwcfZHg6HL9M07Zc+yO/meX68ubn5U3DrsZ2maX88Hs+73e556cO8e3p6+nQ6nfYPDw+3YwyxrcR2jDF2u93z/f39t6UP85u7pQ/Ax/IDgYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyGzH+H5/bOmD/OzazsPH2M7z/Hg6nfbjyu6PzfP8OMZ4WfocfBwbBDI3/sssKr8/2TxNuJhf1lUWTVzS5n1ddTwez2/RXeP3N1bgx7rq7d9X9YuUdfFSl4zYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjcxVDl5Yp58HL0YmXJRr4WQMXsj8/GTzVOOifgxejF24tM00TfvPnz8PYxcubTPGGHd3d38tfRDWz0tdMmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2Mpsxxjifz38sfRDWbzPP8+PXr1+NXbg418LJGLyQ8QOBjI9RMtZVZKyryFhXkfEDgYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYx1FRnrKjKuhZOxriLjyUbG4IWMwQsZgxcyXuqSERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGbGRMXghY/BCxrVwMgYvZN6fbMNTjUvbHg6HL2OMYezCpW2madobu1Dwno2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyGzfVlVjWFZxYTYIZKyryHiykbGuImNdRcarDzJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MgYvZFwLJ2PwQsaTjYzBCxmDFzJefZARGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkTF4IeNaOBmDFzK+s5HxMUrGuoqMdRUZ39nIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MhYV5FxLZyMdRUZTzYyBi9kDF7IePVBRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEbG4IWMa+FkDF7IvD/ZXAm/Pi9r+7TZHg6HL28bBK7IPM+Paxshbadp2h+Px/Nut3te+jB89/T09Ol0Ou0fHh5uxxjriW2MMXa73fP9/f23pQ/DL+6WPsBH856NjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNzHaM71dalj4I/1jr32M7z/Pj6XTajxVeafkvexsirWqE5Fr49VrdtXCDFzJ+IJARGxmxkREbGbGRERsZsZERGxmxkfkb5q91zY5zkgEAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_25f4c_row16_col5\" class=\"data row16 col5\" >177<br>(24.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row17_col0\" class=\"data row17 col0\" >18</td>\n",
       "      <td id=\"T_25f4c_row17_col1\" class=\"data row17 col1\" ><strong>Dirección normalizada</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row17_col2\" class=\"data row17 col2\" >1. nan<br>2. 27 DE FEBRERO AV. y ESCALADA A<br>3. PAZ, GRAL. AV. y BALBIN, RICAR<br>4. PAZ, GRAL. AV. y DEL LIBERTADO<br>5. ALCORTA, AMANCIO AV. y BONAVEN<br>6. CASTILLO, RAMON S., PRES. AV. <br>7. ACHAVAL RODRIGUEZ, T., DR. AV.<br>8. INDEPENDENCIA AV. y CEVALLOS, <br>9. PAZ, GRAL. AV. y DE LOS CORRAL<br>10. DEL LIBERTADOR AV. y RAMOS MEJ<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row17_col3\" class=\"data row17 col3\" >15 (2.1%)<br>5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>671 (93.6%)</td>\n",
       "      <td id=\"T_25f4c_row17_col4\" class=\"data row17 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row17_col5\" class=\"data row17 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row18_col0\" class=\"data row18 col0\" >19</td>\n",
       "      <td id=\"T_25f4c_row18_col1\" class=\"data row18 col1\" ><strong>Comuna</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row18_col2\" class=\"data row18 col2\" >1. Comuna 1<br>2. Comuna 4<br>3. Comuna 9<br>4. Comuna 8<br>5. Comuna 7<br>6. Comuna 3<br>7. Comuna 15<br>8. Comuna 12<br>9. Comuna 13<br>10. Comuna 14<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row18_col3\" class=\"data row18 col3\" >93 (13.0%)<br>75 (10.5%)<br>72 (10.0%)<br>66 (9.2%)<br>61 (8.5%)<br>46 (6.4%)<br>45 (6.3%)<br>39 (5.4%)<br>39 (5.4%)<br>34 (4.7%)<br>147 (20.5%)</td>\n",
       "      <td id=\"T_25f4c_row18_col4\" class=\"data row18 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row18_col5\" class=\"data row18 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row19_col0\" class=\"data row19 col0\" >20</td>\n",
       "      <td id=\"T_25f4c_row19_col1\" class=\"data row19 col1\" ><strong>Xy (caba)</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row19_col2\" class=\"data row19 col2\" >1. nan<br>2. Point (101721.59002217 93844.2<br>3. Point (96563.66494817 108815.7<br>4. Point (97098.48468623 109019.9<br>5. Point (95832.05571093 95505.41<br>6. Point (104283.01090451 97171.0<br>7. Point (99620.34936816 110483.2<br>8. Point (109583.11620052 102006.<br>9. Point (107903.91828587 98767.4<br>10. Point (107160.34141948 105678.<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row19_col3\" class=\"data row19 col3\" >15 (2.1%)<br>5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>668 (93.2%)</td>\n",
       "      <td id=\"T_25f4c_row19_col4\" class=\"data row19 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row19_col5\" class=\"data row19 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row20_col0\" class=\"data row20 col0\" >21</td>\n",
       "      <td id=\"T_25f4c_row20_col1\" class=\"data row20 col1\" ><strong>Pos x</strong><br>[float64]</td>\n",
       "      <td id=\"T_25f4c_row20_col2\" class=\"data row20 col2\" >Mean (sd) : -58.4 (0.0)<br>min < med < max:<br>-58.5 < -58.4 < -58.4<br>IQR (CV) : 0.1 (-1260.0)</td>\n",
       "      <td id=\"T_25f4c_row20_col3\" class=\"data row20 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_25f4c_row20_col4\" class=\"data row20 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row20_col5\" class=\"data row20 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row21_col0\" class=\"data row21 col0\" >22</td>\n",
       "      <td id=\"T_25f4c_row21_col1\" class=\"data row21 col1\" ><strong>Pos y</strong><br>[float64]</td>\n",
       "      <td id=\"T_25f4c_row21_col2\" class=\"data row21 col2\" >Mean (sd) : -34.6 (0.0)<br>min < med < max:<br>-34.7 < -34.6 < -34.5<br>IQR (CV) : 0.0 (-981.0)</td>\n",
       "      <td id=\"T_25f4c_row21_col3\" class=\"data row21 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_25f4c_row21_col4\" class=\"data row21 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row21_col5\" class=\"data row21 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row22_col0\" class=\"data row22 col0\" >23</td>\n",
       "      <td id=\"T_25f4c_row22_col1\" class=\"data row22 col1\" ><strong>Participantes</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row22_col2\" class=\"data row22 col2\" >1. PEATON-PASAJEROS<br>2. MOTO-AUTO<br>3. PEATON-AUTO<br>4. MOTO-CARGAS<br>5. MOTO-PASAJEROS<br>6. MOTO-OBJETO FIJO<br>7. PEATON-CARGAS<br>8. AUTO-AUTO<br>9. PEATON-MOTO<br>10. AUTO-OBJETO FIJO<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row22_col3\" class=\"data row22 col3\" >105 (14.6%)<br>84 (11.7%)<br>78 (10.9%)<br>74 (10.3%)<br>49 (6.8%)<br>39 (5.4%)<br>37 (5.2%)<br>32 (4.5%)<br>30 (4.2%)<br>28 (3.9%)<br>161 (22.5%)</td>\n",
       "      <td id=\"T_25f4c_row22_col4\" class=\"data row22 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row22_col5\" class=\"data row22 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row23_col0\" class=\"data row23 col0\" >24</td>\n",
       "      <td id=\"T_25f4c_row23_col1\" class=\"data row23 col1\" ><strong>Victima</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row23_col2\" class=\"data row23 col2\" >1. MOTO<br>2. PEATON<br>3. AUTO<br>4. BICICLETA<br>5. nan<br>6. CARGAS<br>7. PASAJEROS<br>8. MOVIL<br>9. OBJETO FIJO<br>10. PEATON_MOTO</td>\n",
       "      <td id=\"T_25f4c_row23_col3\" class=\"data row23 col3\" >293 (40.9%)<br>263 (36.7%)<br>91 (12.7%)<br>29 (4.0%)<br>22 (3.1%)<br>7 (1.0%)<br>5 (0.7%)<br>3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)</td>\n",
       "      <td id=\"T_25f4c_row23_col4\" class=\"data row23 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row23_col5\" class=\"data row23 col5\" >22<br>(3.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row24_col0\" class=\"data row24 col0\" >25</td>\n",
       "      <td id=\"T_25f4c_row24_col1\" class=\"data row24 col1\" ><strong>Acusado</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row24_col2\" class=\"data row24 col2\" >1. AUTO<br>2. PASAJEROS<br>3. CARGAS<br>4. OBJETO FIJO<br>5. MOTO<br>6. nan<br>7. MULTIPLE<br>8. BICICLETA<br>9. OTRO<br>10. TREN</td>\n",
       "      <td id=\"T_25f4c_row24_col3\" class=\"data row24 col3\" >208 (29.0%)<br>177 (24.7%)<br>143 (19.9%)<br>66 (9.2%)<br>58 (8.1%)<br>34 (4.7%)<br>17 (2.4%)<br>7 (1.0%)<br>6 (0.8%)<br>1 (0.1%)</td>\n",
       "      <td id=\"T_25f4c_row24_col4\" class=\"data row24 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAADnCAYAAAAJgSQ2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAEJElEQVR4nO3dTW7bVhiF4Y+EkFYTCoIAL6GdeQFeRBbbRWgBHnYPhmEOqiQTddC0qJE/kxHP1c/zrOAOXlyFBI/THY/HgoS+9QG4HWIjRmzEiI0YsREjNmLERozYiBEbMV1VravqXeuDTPTpeDweWh+CaVa73e79MAzb1geZYhzH567r/hDcZVkNw7B9eHg4bDabD60P8xYvLy+/7vf77dPT07uqEtsFWVVVbTabD3d3d3+1PswE69YHYDoPCMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YsRGzKrqn892Wh/krS7prLy2Gsfxeb/fb+uCPtsZx/G5qj61PgfT+CycmM5fMSLlnG82t9eVOdvBi1HL9TnLwYtRy3U658HLxTwd8zZe6hIjNmLERozYiBEbMWIjRmzEiI0YsREjNmLERozYiBEbMWc5eDm383AaZzt4MWq5Pj4LJ8bghZjWN5vb64Y0HbwYtdyWZoMXo5bb03rwclZPwCzLS11ixEaM2IgRGzFiI0ZsxIiNGLERIzZixEaM2IgRGzFiI0ZsxDRbV1lQ3Z6m6yoLqttig0CMdRUxP3OzuZWYZPa6yjKKqWatqyyjmONn1lWWUUzipS4xYiNGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixETNr8GKswhyzBy/GKkzls3BiDF6ImXuzudWYbNbgxdiFOSYPXoxdmGvu4MXYhcm81CVGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YiYPXoxdmGvW4MXYhTl8Fk6MwQsxHhCI+dHPqJ9LTua76yorKk7pm+sqKypO7UfrKisqTsYDAjFiI0ZsxIiNGLERIzZixEaM2IgRGzFiI0ZsxIiNGLER8811lRUVp/bddZUVFafks3BirKuI+drN5jZjEV8MXoxcWMqrwYuRC0v62uDFyIVFeKlLjNiIERsxYiNGbMSIjRixESM2YsRGjNiIERsxYiNGbMS8GrwYubCkLwYvRi4sxWfhxBi8EOMBgZj//4z6+WRR/62rrKpYWj8Mw/b+/r4+z/mm/r+j8GZ9VdV6vf7Y+iBcPw8IxIiNGLERIzZixEaM2IgRGzFiI0ZsxIiNGLERIzZixEZMX1V1OBx+aX0Qrl8/juPz4+OjVRWL81k4MdZVxPx7s5VbjaWtdrvd+6oqYxeW1g/DsDV2IcF7NmLERozYiBEbMWIjRmzEiI0YsREjNmLERozYiBEbMWIjRmzEiI2Y1eehS5WxCwvzWTgxBi/E+DcbMX3Xdb93Xef/GWVxfVX9VlX+/AKL8zNKjNiIERsxYiNGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2Yvqq+rOqPrY+CNfP4IUYP6PEiI0YsREjNmLERozYiBEbMWIj5m9dM7pbA+roEQAAAABJRU5ErkJggg==\"></img></td>\n",
       "      <td id=\"T_25f4c_row24_col5\" class=\"data row24 col5\" >34<br>(4.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row25_col0\" class=\"data row25 col0\" >26</td>\n",
       "      <td id=\"T_25f4c_row25_col1\" class=\"data row25 col1\" ><strong>Coordenada x</strong><br>[float64]</td>\n",
       "      <td id=\"T_25f4c_row25_col2\" class=\"data row25 col2\" >Mean (sd) : 101980.1 (4253.7)<br>min < med < max:<br>93889.9 < 101721.6 < 109831.1<br>IQR (CV) : 6886.5 (24.0)</td>\n",
       "      <td id=\"T_25f4c_row25_col3\" class=\"data row25 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_25f4c_row25_col4\" class=\"data row25 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row25_col5\" class=\"data row25 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row26_col0\" class=\"data row26 col0\" >27</td>\n",
       "      <td id=\"T_25f4c_row26_col1\" class=\"data row26 col1\" ><strong>Coordenada y</strong><br>[float64]</td>\n",
       "      <td id=\"T_25f4c_row26_col2\" class=\"data row26 col2\" >Mean (sd) : 101070.6 (3914.9)<br>min < med < max:<br>91571.2 < 100711.7 < 110496.1<br>IQR (CV) : 5194.8 (25.8)</td>\n",
       "      <td id=\"T_25f4c_row26_col3\" class=\"data row26 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_25f4c_row26_col4\" class=\"data row26 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row26_col5\" class=\"data row26 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row27_col0\" class=\"data row27 col0\" >28</td>\n",
       "      <td id=\"T_25f4c_row27_col1\" class=\"data row27 col1\" ><strong>Barrios</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row27_col2\" class=\"data row27 col2\" >1. CONSTITUCION - MONTSERRAT - PU<br>2. BARRACAS - BOCA - NUEVA POMPEY<br>3. LINIERS - MATADEROS - PARQUE A<br>4. VILLA LUGANO - VILLA RIACHUELO<br>5. FLORES - PARQUE CHACABUCO<br>6. BALVANERA - SAN CRISTOBAL<br>7. AGRONOMIA - CHACARITA -  PARQU<br>8. COGHLAN - SAAVEDRA - VILLA PUE<br>9. BELGRANO - COLEGIALES - NUÃ‘EZ<br>10. PALERMO<br>11. other</td>\n",
       "      <td id=\"T_25f4c_row27_col3\" class=\"data row27 col3\" >93 (13.0%)<br>75 (10.5%)<br>72 (10.0%)<br>66 (9.2%)<br>61 (8.5%)<br>46 (6.4%)<br>45 (6.3%)<br>39 (5.4%)<br>39 (5.4%)<br>34 (4.7%)<br>147 (20.5%)</td>\n",
       "      <td id=\"T_25f4c_row27_col4\" class=\"data row27 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row27_col5\" class=\"data row27 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_25f4c_row28_col0\" class=\"data row28 col0\" >29</td>\n",
       "      <td id=\"T_25f4c_row28_col1\" class=\"data row28 col1\" ><strong>Día semana</strong><br>[object]</td>\n",
       "      <td id=\"T_25f4c_row28_col2\" class=\"data row28 col2\" >1. Sabado<br>2. Lunes<br>3. Domingo<br>4. Viernes<br>5. Miercoles<br>6. Martes<br>7. Jueves<br>8. nan</td>\n",
       "      <td id=\"T_25f4c_row28_col3\" class=\"data row28 col3\" >106 (14.8%)<br>103 (14.4%)<br>102 (14.2%)<br>99 (13.8%)<br>98 (13.7%)<br>98 (13.7%)<br>96 (13.4%)<br>15 (2.1%)</td>\n",
       "      <td id=\"T_25f4c_row28_col4\" class=\"data row28 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_25f4c_row28_col5\" class=\"data row28 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2787ada9010>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSummary(siniestros)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Antes de realizar en EDA propiamiente dicho se ordenan las columnas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Fecha', 'Año', 'Mes', 'Día', 'Día semana', 'Hora completa',\n",
       "       'Hora', 'Num víctimas', 'Participantes', 'Rol', 'Acusado', 'Victima',\n",
       "       'Sexo', 'Edad', 'Rango etario', 'Fecha fallecimiento',\n",
       "       'Lugar del hecho', 'Tipo de calle', 'Calle', 'Cruce',\n",
       "       'Dirección normalizada', 'Comuna', 'Barrios', 'Xy (caba)',\n",
       "       'Coordenada x', 'Coordenada y', 'Pos x', 'Pos y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Creo una lista con el orden \n",
    "nuevo_orden=[\"Id\", \"Fecha\", \"Año\", \"Mes\", \"Día\",\"Día semana\", \"Hora completa\", \"Hora\", \"Num víctimas\", \"Participantes\", \"Rol\", \"Acusado\", \"Victima\", \"Sexo\", \"Edad\", \"Rango etario\", \"Fecha fallecimiento\", \"Lugar del hecho\", \"Tipo de calle\", \"Calle\", \"Cruce\", \"Dirección normalizada\", \"Comuna\", \"Barrios\", \"Xy (caba)\", \"Coordenada x\", \"Coordenada y\", \"Pos x\", \"Pos y\"]\n",
    "\n",
    "#Reorganizo el dataframe untilizando la lista y asignandola nuevamente aldataframe siniestros\n",
    "siniestros_limpio = siniestros[nuevo_orden]\n",
    "siniestros_limpio.columns\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>Id</th>\n",
       "      <th>Fecha</th>\n",
       "      <th>Año</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Día</th>\n",
       "      <th>Día semana</th>\n",
       "      <th>Hora completa</th>\n",
       "      <th>Hora</th>\n",
       "      <th>Num víctimas</th>\n",
       "      <th>Participantes</th>\n",
       "      <th>...</th>\n",
       "      <th>Calle</th>\n",
       "      <th>Cruce</th>\n",
       "      <th>Dirección normalizada</th>\n",
       "      <th>Comuna</th>\n",
       "      <th>Barrios</th>\n",
       "      <th>Xy (caba)</th>\n",
       "      <th>Coordenada x</th>\n",
       "      <th>Coordenada y</th>\n",
       "      <th>Pos x</th>\n",
       "      <th>Pos y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-0001</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>...</td>\n",
       "      <td>PIEDRA BUENA AV.</td>\n",
       "      <td>FERNANDEZ DE LA CRUZ, F., GRAL. AV.</td>\n",
       "      <td>PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...</td>\n",
       "      <td>Comuna 8</td>\n",
       "      <td>VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI</td>\n",
       "      <td>Point (98896.78238426 93532.43437792)</td>\n",
       "      <td>98896.782384</td>\n",
       "      <td>93532.434378</td>\n",
       "      <td>-58.475340</td>\n",
       "      <td>-34.687570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-0002</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Sabado</td>\n",
       "      <td>01:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>AUTO-PASAJEROS</td>\n",
       "      <td>...</td>\n",
       "      <td>PAZ, GRAL. AV.</td>\n",
       "      <td>DE LOS CORRALES AV.</td>\n",
       "      <td>PAZ, GRAL. AV. y DE LOS CORRALES AV.</td>\n",
       "      <td>Comuna 9</td>\n",
       "      <td>LINIERS - MATADEROS - PARQUE AVELLANEDA</td>\n",
       "      <td>Point (95832.05571093 95505.41641999)</td>\n",
       "      <td>95832.055711</td>\n",
       "      <td>95505.416420</td>\n",
       "      <td>-58.508775</td>\n",
       "      <td>-34.669777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-0003</td>\n",
       "      <td>2016-01-03</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Domingo</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>...</td>\n",
       "      <td>ENTRE RIOS AV.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ENTRE RIOS AV. 2034</td>\n",
       "      <td>Comuna 1</td>\n",
       "      <td>CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...</td>\n",
       "      <td>Point (106684.29090040 99706.57687843)</td>\n",
       "      <td>106684.290900</td>\n",
       "      <td>99706.576878</td>\n",
       "      <td>-58.390403</td>\n",
       "      <td>-34.631894</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Id      Fecha   Año  Mes  Día Día semana Hora completa  Hora  \\\n",
       "0  2016-0001 2016-01-01  2016    1    1    Viernes      04:00:00     4   \n",
       "1  2016-0002 2016-01-02  2016    1    2     Sabado      01:15:00     1   \n",
       "2  2016-0003 2016-01-03  2016    1    3    Domingo      07:00:00     7   \n",
       "\n",
       "   Num víctimas   Participantes  ...             Calle  \\\n",
       "0             1       MOTO-AUTO  ...  PIEDRA BUENA AV.   \n",
       "1             1  AUTO-PASAJEROS  ...    PAZ, GRAL. AV.   \n",
       "2             1       MOTO-AUTO  ...    ENTRE RIOS AV.   \n",
       "\n",
       "                                 Cruce  \\\n",
       "0  FERNANDEZ DE LA CRUZ, F., GRAL. AV.   \n",
       "1                  DE LOS CORRALES AV.   \n",
       "2                                  NaN   \n",
       "\n",
       "                               Dirección normalizada    Comuna  \\\n",
       "0  PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...  Comuna 8   \n",
       "1               PAZ, GRAL. AV. y DE LOS CORRALES AV.  Comuna 9   \n",
       "2                                ENTRE RIOS AV. 2034  Comuna 1   \n",
       "\n",
       "                                             Barrios  \\\n",
       "0     VILLA LUGANO - VILLA RIACHUELO - VILLA SOLDATI   \n",
       "1            LINIERS - MATADEROS - PARQUE AVELLANEDA   \n",
       "2  CONSTITUCION - MONTSERRAT - PUERTO MADERO - RE...   \n",
       "\n",
       "                                Xy (caba)   Coordenada x  Coordenada y  \\\n",
       "0   Point (98896.78238426 93532.43437792)   98896.782384  93532.434378   \n",
       "1   Point (95832.05571093 95505.41641999)   95832.055711  95505.416420   \n",
       "2  Point (106684.29090040 99706.57687843)  106684.290900  99706.576878   \n",
       "\n",
       "       Pos x      Pos y  \n",
       "0 -58.475340 -34.687570  \n",
       "1 -58.508775 -34.669777  \n",
       "2 -58.390403 -34.631894  \n",
       "\n",
       "[3 rows x 29 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "siniestros_limpio.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 717 entries, 0 to 716\n",
      "Data columns (total 29 columns):\n",
      " #   Column                 Non-Null Count  Dtype         \n",
      "---  ------                 --------------  -----         \n",
      " 0   Id                     717 non-null    object        \n",
      " 1   Fecha                  702 non-null    datetime64[ns]\n",
      " 2   Año                    702 non-null    Int64         \n",
      " 3   Mes                    702 non-null    Int64         \n",
      " 4   Día                    702 non-null    Int64         \n",
      " 5   Día semana             702 non-null    object        \n",
      " 6   Hora completa          701 non-null    object        \n",
      " 7   Hora                   701 non-null    Int64         \n",
      " 8   Num víctimas           717 non-null    Int64         \n",
      " 9   Participantes          702 non-null    object        \n",
      " 10  Rol                    717 non-null    object        \n",
      " 11  Acusado                683 non-null    object        \n",
      " 12  Victima                695 non-null    object        \n",
      " 13  Sexo                   717 non-null    object        \n",
      " 14  Edad                   717 non-null    Int64         \n",
      " 15  Rango etario           717 non-null    category      \n",
      " 16  Fecha fallecimiento    717 non-null    object        \n",
      " 17  Lugar del hecho        702 non-null    object        \n",
      " 18  Tipo de calle          702 non-null    object        \n",
      " 19  Calle                  702 non-null    object        \n",
      " 20  Cruce                  540 non-null    object        \n",
      " 21  Dirección normalizada  702 non-null    object        \n",
      " 22  Comuna                 702 non-null    object        \n",
      " 23  Barrios                702 non-null    object        \n",
      " 24  Xy (caba)              702 non-null    object        \n",
      " 25  Coordenada x           702 non-null    float64       \n",
      " 26  Coordenada y           702 non-null    float64       \n",
      " 27  Pos x                  702 non-null    float64       \n",
      " 28  Pos y                  702 non-null    float64       \n",
      "dtypes: Int64(6), category(1), datetime64[ns](1), float64(4), object(17)\n",
      "memory usage: 162.1+ KB\n"
     ]
    }
   ],
   "source": [
    "siniestros_limpio.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "siniestros_limpio[\"Fecha\"]=siniestros_limpio[\"Fecha\"].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 717 entries, 0 to 716\n",
      "Data columns (total 29 columns):\n",
      " #   Column                 Non-Null Count  Dtype   \n",
      "---  ------                 --------------  -----   \n",
      " 0   Id                     717 non-null    object  \n",
      " 1   Fecha                  702 non-null    object  \n",
      " 2   Año                    702 non-null    Int64   \n",
      " 3   Mes                    702 non-null    Int64   \n",
      " 4   Día                    702 non-null    Int64   \n",
      " 5   Día semana             702 non-null    object  \n",
      " 6   Hora completa          701 non-null    object  \n",
      " 7   Hora                   701 non-null    Int64   \n",
      " 8   Num víctimas           717 non-null    Int64   \n",
      " 9   Participantes          702 non-null    object  \n",
      " 10  Rol                    717 non-null    object  \n",
      " 11  Acusado                683 non-null    object  \n",
      " 12  Victima                695 non-null    object  \n",
      " 13  Sexo                   717 non-null    object  \n",
      " 14  Edad                   717 non-null    Int64   \n",
      " 15  Rango etario           717 non-null    category\n",
      " 16  Fecha fallecimiento    717 non-null    object  \n",
      " 17  Lugar del hecho        702 non-null    object  \n",
      " 18  Tipo de calle          702 non-null    object  \n",
      " 19  Calle                  702 non-null    object  \n",
      " 20  Cruce                  540 non-null    object  \n",
      " 21  Dirección normalizada  702 non-null    object  \n",
      " 22  Comuna                 702 non-null    object  \n",
      " 23  Barrios                702 non-null    object  \n",
      " 24  Xy (caba)              702 non-null    object  \n",
      " 25  Coordenada x           702 non-null    float64 \n",
      " 26  Coordenada y           702 non-null    float64 \n",
      " 27  Pos x                  702 non-null    float64 \n",
      " 28  Pos y                  702 non-null    float64 \n",
      "dtypes: Int64(6), category(1), float64(4), object(18)\n",
      "memory usage: 162.1+ KB\n"
     ]
    }
   ],
   "source": [
    "siniestros_limpio.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<button type=\"button\" class = \"st-collapsible\", \n",
       "    id = \"btn-2206\" onclick = \"coll_toggle_2206()\">Show Summary - siniestros_limpio</button>\n",
       "    <div class=\"st-content\" id=\"cont-2206\">\n",
       "      <style type=\"text/css\">\n",
       "#T_60d55 thead>tr>th {\n",
       "  text-align: left;\n",
       "}\n",
       "#T_60d55_row0_col0, #T_60d55_row1_col0, #T_60d55_row2_col0, #T_60d55_row3_col0, #T_60d55_row4_col0, #T_60d55_row5_col0, #T_60d55_row6_col0, #T_60d55_row7_col0, #T_60d55_row8_col0, #T_60d55_row9_col0, #T_60d55_row10_col0, #T_60d55_row11_col0, #T_60d55_row12_col0, #T_60d55_row13_col0, #T_60d55_row14_col0, #T_60d55_row15_col0, #T_60d55_row16_col0, #T_60d55_row17_col0, #T_60d55_row18_col0, #T_60d55_row19_col0, #T_60d55_row20_col0, #T_60d55_row21_col0, #T_60d55_row22_col0, #T_60d55_row23_col0, #T_60d55_row24_col0, #T_60d55_row25_col0, #T_60d55_row26_col0, #T_60d55_row27_col0, #T_60d55_row28_col0 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 5%;\n",
       "  max-width: 50px;\n",
       "  min-width: 20px;\n",
       "}\n",
       "#T_60d55_row0_col1, #T_60d55_row1_col1, #T_60d55_row2_col1, #T_60d55_row3_col1, #T_60d55_row4_col1, #T_60d55_row5_col1, #T_60d55_row6_col1, #T_60d55_row7_col1, #T_60d55_row8_col1, #T_60d55_row9_col1, #T_60d55_row10_col1, #T_60d55_row11_col1, #T_60d55_row12_col1, #T_60d55_row13_col1, #T_60d55_row14_col1, #T_60d55_row15_col1, #T_60d55_row16_col1, #T_60d55_row17_col1, #T_60d55_row18_col1, #T_60d55_row19_col1, #T_60d55_row20_col1, #T_60d55_row21_col1, #T_60d55_row22_col1, #T_60d55_row23_col1, #T_60d55_row24_col1, #T_60d55_row25_col1, #T_60d55_row26_col1, #T_60d55_row27_col1, #T_60d55_row28_col1 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 15%;\n",
       "  max-width: 200px;\n",
       "  min-width: 100px;\n",
       "  word-break: break-word;\n",
       "}\n",
       "#T_60d55_row0_col2, #T_60d55_row1_col2, #T_60d55_row2_col2, #T_60d55_row3_col2, #T_60d55_row4_col2, #T_60d55_row5_col2, #T_60d55_row6_col2, #T_60d55_row7_col2, #T_60d55_row8_col2, #T_60d55_row9_col2, #T_60d55_row10_col2, #T_60d55_row11_col2, #T_60d55_row12_col2, #T_60d55_row13_col2, #T_60d55_row14_col2, #T_60d55_row15_col2, #T_60d55_row16_col2, #T_60d55_row17_col2, #T_60d55_row18_col2, #T_60d55_row19_col2, #T_60d55_row20_col2, #T_60d55_row21_col2, #T_60d55_row22_col2, #T_60d55_row23_col2, #T_60d55_row24_col2, #T_60d55_row25_col2, #T_60d55_row26_col2, #T_60d55_row27_col2, #T_60d55_row28_col2 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 30%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_60d55_row0_col3, #T_60d55_row1_col3, #T_60d55_row2_col3, #T_60d55_row3_col3, #T_60d55_row4_col3, #T_60d55_row5_col3, #T_60d55_row6_col3, #T_60d55_row7_col3, #T_60d55_row8_col3, #T_60d55_row9_col3, #T_60d55_row10_col3, #T_60d55_row11_col3, #T_60d55_row12_col3, #T_60d55_row13_col3, #T_60d55_row14_col3, #T_60d55_row15_col3, #T_60d55_row16_col3, #T_60d55_row17_col3, #T_60d55_row18_col3, #T_60d55_row19_col3, #T_60d55_row20_col3, #T_60d55_row21_col3, #T_60d55_row22_col3, #T_60d55_row23_col3, #T_60d55_row24_col3, #T_60d55_row25_col3, #T_60d55_row26_col3, #T_60d55_row27_col3, #T_60d55_row28_col3 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 25%;\n",
       "  min-width: 100px;\n",
       "}\n",
       "#T_60d55_row0_col4, #T_60d55_row1_col4, #T_60d55_row2_col4, #T_60d55_row3_col4, #T_60d55_row4_col4, #T_60d55_row5_col4, #T_60d55_row6_col4, #T_60d55_row7_col4, #T_60d55_row8_col4, #T_60d55_row9_col4, #T_60d55_row10_col4, #T_60d55_row11_col4, #T_60d55_row12_col4, #T_60d55_row13_col4, #T_60d55_row14_col4, #T_60d55_row15_col4, #T_60d55_row16_col4, #T_60d55_row17_col4, #T_60d55_row18_col4, #T_60d55_row19_col4, #T_60d55_row20_col4, #T_60d55_row21_col4, #T_60d55_row22_col4, #T_60d55_row23_col4, #T_60d55_row24_col4, #T_60d55_row25_col4, #T_60d55_row26_col4, #T_60d55_row27_col4, #T_60d55_row28_col4 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 20%;\n",
       "  min-width: 150px;\n",
       "}\n",
       "#T_60d55_row0_col5, #T_60d55_row1_col5, #T_60d55_row2_col5, #T_60d55_row3_col5, #T_60d55_row4_col5, #T_60d55_row5_col5, #T_60d55_row6_col5, #T_60d55_row7_col5, #T_60d55_row8_col5, #T_60d55_row9_col5, #T_60d55_row10_col5, #T_60d55_row11_col5, #T_60d55_row12_col5, #T_60d55_row13_col5, #T_60d55_row14_col5, #T_60d55_row15_col5, #T_60d55_row16_col5, #T_60d55_row17_col5, #T_60d55_row18_col5, #T_60d55_row19_col5, #T_60d55_row20_col5, #T_60d55_row21_col5, #T_60d55_row22_col5, #T_60d55_row23_col5, #T_60d55_row24_col5, #T_60d55_row25_col5, #T_60d55_row26_col5, #T_60d55_row27_col5, #T_60d55_row28_col5 {\n",
       "  text-align: left;\n",
       "  font-size: 12px;\n",
       "  vertical-align: middle;\n",
       "  width: 10%;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_60d55\">\n",
       "  <caption><strong>Data Frame Summary</strong><br>siniestros_limpio<br>Dimensions: 717 x 29<br>Duplicates: 0</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_60d55_level0_col0\" class=\"col_heading level0 col0\" >No</th>\n",
       "      <th id=\"T_60d55_level0_col1\" class=\"col_heading level0 col1\" >Variable</th>\n",
       "      <th id=\"T_60d55_level0_col2\" class=\"col_heading level0 col2\" >Stats / Values</th>\n",
       "      <th id=\"T_60d55_level0_col3\" class=\"col_heading level0 col3\" >Freqs / (% of Valid)</th>\n",
       "      <th id=\"T_60d55_level0_col4\" class=\"col_heading level0 col4\" >Graph</th>\n",
       "      <th id=\"T_60d55_level0_col5\" class=\"col_heading level0 col5\" >Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row0_col0\" class=\"data row0 col0\" >1</td>\n",
       "      <td id=\"T_60d55_row0_col1\" class=\"data row0 col1\" ><strong>Id</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row0_col2\" class=\"data row0 col2\" >1. 2017-0035<br>2. 2017-0050<br>3. 2016-0041<br>4. 2018-0015<br>5. 2020-0063<br>6. 2017-0126<br>7. 2019-0010<br>8. 2017-0026<br>9. 2017-0112<br>10. 2018-0098<br>11. other</td>\n",
       "      <td id=\"T_60d55_row0_col3\" class=\"data row0 col3\" >3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>696 (97.1%)</td>\n",
       "      <td id=\"T_60d55_row0_col4\" class=\"data row0 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row0_col5\" class=\"data row0 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row1_col0\" class=\"data row1 col0\" >2</td>\n",
       "      <td id=\"T_60d55_row1_col1\" class=\"data row1 col1\" ><strong>Fecha</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row1_col2\" class=\"data row1 col2\" >1. NaT<br>2. 2020-12-05<br>3. 2017-03-23<br>4. 2018-12-18<br>5. 2018-12-12<br>6. 2020-12-25<br>7. 2017-12-11<br>8. 2016-11-26<br>9. 2016-02-28<br>10. 2016-02-17<br>11. other</td>\n",
       "      <td id=\"T_60d55_row1_col3\" class=\"data row1 col3\" >15 (2.1%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>675 (94.1%)</td>\n",
       "      <td id=\"T_60d55_row1_col4\" class=\"data row1 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row1_col5\" class=\"data row1 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row2_col0\" class=\"data row2 col0\" >3</td>\n",
       "      <td id=\"T_60d55_row2_col1\" class=\"data row2 col1\" ><strong>Año</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row2_col2\" class=\"data row2 col2\" >Mean (sd) : 2018.2 (1.7)<br>min < med < max:<br>2016.0 < 2018.0 < 2021.0<br>IQR (CV) : 2.0 (1209.1)</td>\n",
       "      <td id=\"T_60d55_row2_col3\" class=\"data row2 col3\" >6 distinct values</td>\n",
       "      <td id=\"T_60d55_row2_col4\" class=\"data row2 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row2_col5\" class=\"data row2 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row3_col0\" class=\"data row3 col0\" >4</td>\n",
       "      <td id=\"T_60d55_row3_col1\" class=\"data row3 col1\" ><strong>Mes</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row3_col2\" class=\"data row3 col2\" >Mean (sd) : 6.7 (3.6)<br>min < med < max:<br>1.0 < 7.0 < 12.0<br>IQR (CV) : 6.8 (1.9)</td>\n",
       "      <td id=\"T_60d55_row3_col3\" class=\"data row3 col3\" >12 distinct values</td>\n",
       "      <td id=\"T_60d55_row3_col4\" class=\"data row3 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row3_col5\" class=\"data row3 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row4_col0\" class=\"data row4 col0\" >5</td>\n",
       "      <td id=\"T_60d55_row4_col1\" class=\"data row4 col1\" ><strong>Día</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row4_col2\" class=\"data row4 col2\" >Mean (sd) : 15.9 (8.7)<br>min < med < max:<br>1.0 < 16.0 < 31.0<br>IQR (CV) : 14.0 (1.8)</td>\n",
       "      <td id=\"T_60d55_row4_col3\" class=\"data row4 col3\" >31 distinct values</td>\n",
       "      <td id=\"T_60d55_row4_col4\" class=\"data row4 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row4_col5\" class=\"data row4 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row5_col0\" class=\"data row5 col0\" >6</td>\n",
       "      <td id=\"T_60d55_row5_col1\" class=\"data row5 col1\" ><strong>Día semana</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row5_col2\" class=\"data row5 col2\" >1. Sabado<br>2. Lunes<br>3. Domingo<br>4. Viernes<br>5. Miercoles<br>6. Martes<br>7. Jueves<br>8. nan</td>\n",
       "      <td id=\"T_60d55_row5_col3\" class=\"data row5 col3\" >106 (14.8%)<br>103 (14.4%)<br>102 (14.2%)<br>99 (13.8%)<br>98 (13.7%)<br>98 (13.7%)<br>96 (13.4%)<br>15 (2.1%)</td>\n",
       "      <td id=\"T_60d55_row5_col4\" class=\"data row5 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAC4CAYAAAD0WZ4UAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAC8ElEQVR4nO3cTUpbUQCG4RMJUicJQXAxWUQX20VkNyLeQRUn6aAW/ImznFdCn2fm5NDBy7H3cj9Xx+NxQOHqu/8B/D/ERkZsZMRGRmxkxEZmNca4GWNcTzr/5Xg8Pk06mwuzvr29/bnZbHYzDl+W5WG1Wv0SHGOMsd5sNrv9fv+03W6fz3nw4+Pjj8PhsLu/v78eY4iNsR5jjO12+3x3d/d7wvk3E87kQnlAICM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiI7Me4+/nQOc+eMaZXLb1siwPh8NhNyZ8DrQsy8MY4+Xc53KZfBZOZuXPL1CZebO51Xhn2uDF2IWPpgxejF04ZebgxdiFd7zUJSM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIzNl8GLswinTBi/GLnzks3AyBi9kPCCQ8WuUjHUVGesqMtZVZDwgkBEbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkbGuImNdRcZn4WSsq8jMutncanwyZfBi7MIpZx+8GLvwlVmDF2MXPvFSl4zYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjczZBy/GLnxlyuDF2IVTfBZOxuCFjAcEMn6NkrGuImNdRca6iowHBDJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjLWVWSsq8j4LJyMdRUZNxsZgxcyBi9kDF7IeKlLRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkrKvIWFeRsUEgY11Fxs1GxrqKjHUVGesqMl7qkhEbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkTF4IWPwQsZn4WQMXsh8vNncSEzzbvBiqMJMV/8GL/v9/uk1unP//w3GGG8GL68/G6owjZe6ZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRG5uzrKvjK23WVVRRT2SCQsa4i4wGBjNjIiI2M2MiIjcwfmaeiJe63LTIAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_60d55_row5_col5\" class=\"data row5 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row6_col0\" class=\"data row6 col0\" >7</td>\n",
       "      <td id=\"T_60d55_row6_col1\" class=\"data row6 col1\" ><strong>Hora completa</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row6_col2\" class=\"data row6 col2\" >1. nan<br>2. 05:00:00<br>3. 16:00:00<br>4. 12:30:00<br>5. 21:00:00<br>6. 14:00:00<br>7. 11:00:00<br>8. 09:00:00<br>9. 08:00:00<br>10. 05:30:00<br>11. other</td>\n",
       "      <td id=\"T_60d55_row6_col3\" class=\"data row6 col3\" >16 (2.2%)<br>11 (1.5%)<br>10 (1.4%)<br>10 (1.4%)<br>10 (1.4%)<br>10 (1.4%)<br>9 (1.3%)<br>9 (1.3%)<br>9 (1.3%)<br>8 (1.1%)<br>615 (85.8%)</td>\n",
       "      <td id=\"T_60d55_row6_col4\" class=\"data row6 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row6_col5\" class=\"data row6 col5\" >16<br>(2.2%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row7_col0\" class=\"data row7 col0\" >8</td>\n",
       "      <td id=\"T_60d55_row7_col1\" class=\"data row7 col1\" ><strong>Hora</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row7_col2\" class=\"data row7 col2\" >Mean (sd) : 11.6 (6.7)<br>min < med < max:<br>0.0 < 11.0 < 23.0<br>IQR (CV) : 11.0 (1.7)</td>\n",
       "      <td id=\"T_60d55_row7_col3\" class=\"data row7 col3\" >24 distinct values</td>\n",
       "      <td id=\"T_60d55_row7_col4\" class=\"data row7 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row7_col5\" class=\"data row7 col5\" >16<br>(2.2%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row8_col0\" class=\"data row8 col0\" >9</td>\n",
       "      <td id=\"T_60d55_row8_col1\" class=\"data row8 col1\" ><strong>Num víctimas</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row8_col2\" class=\"data row8 col2\" >Mean (sd) : 1.0 (0.3)<br>min < med < max:<br>0.0 < 1.0 < 3.0<br>IQR (CV) : 0.0 (3.5)</td>\n",
       "      <td id=\"T_60d55_row8_col3\" class=\"data row8 col3\" >4 distinct values</td>\n",
       "      <td id=\"T_60d55_row8_col4\" class=\"data row8 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row8_col5\" class=\"data row8 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row9_col0\" class=\"data row9 col0\" >10</td>\n",
       "      <td id=\"T_60d55_row9_col1\" class=\"data row9 col1\" ><strong>Participantes</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row9_col2\" class=\"data row9 col2\" >1. PEATON-PASAJEROS<br>2. MOTO-AUTO<br>3. PEATON-AUTO<br>4. MOTO-CARGAS<br>5. MOTO-PASAJEROS<br>6. MOTO-OBJETO FIJO<br>7. PEATON-CARGAS<br>8. AUTO-AUTO<br>9. PEATON-MOTO<br>10. AUTO-OBJETO FIJO<br>11. other</td>\n",
       "      <td id=\"T_60d55_row9_col3\" class=\"data row9 col3\" >105 (14.6%)<br>84 (11.7%)<br>78 (10.9%)<br>74 (10.3%)<br>49 (6.8%)<br>39 (5.4%)<br>37 (5.2%)<br>32 (4.5%)<br>30 (4.2%)<br>28 (3.9%)<br>161 (22.5%)</td>\n",
       "      <td id=\"T_60d55_row9_col4\" class=\"data row9 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row9_col5\" class=\"data row9 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row10_col0\" class=\"data row10 col0\" >11</td>\n",
       "      <td id=\"T_60d55_row10_col1\" class=\"data row10 col1\" ><strong>Rol</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row10_col2\" class=\"data row10 col2\" >1. CONDUCTOR<br>2. PEATON<br>3. PASAJERO_ACOMPAÑANTE<br>4. CICLISTA<br>5. SD</td>\n",
       "      <td id=\"T_60d55_row10_col3\" class=\"data row10 col3\" >330 (46.0%)<br>267 (37.2%)<br>80 (11.2%)<br>29 (4.0%)<br>11 (1.5%)</td>\n",
       "      <td id=\"T_60d55_row10_col4\" class=\"data row10 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row10_col5\" class=\"data row10 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row11_col0\" class=\"data row11 col0\" >12</td>\n",
       "      <td id=\"T_60d55_row11_col1\" class=\"data row11 col1\" ><strong>Acusado</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row11_col2\" class=\"data row11 col2\" >1. AUTO<br>2. PASAJEROS<br>3. CARGAS<br>4. OBJETO FIJO<br>5. MOTO<br>6. nan<br>7. MULTIPLE<br>8. BICICLETA<br>9. OTRO<br>10. TREN</td>\n",
       "      <td id=\"T_60d55_row11_col3\" class=\"data row11 col3\" >208 (29.0%)<br>177 (24.7%)<br>143 (19.9%)<br>66 (9.2%)<br>58 (8.1%)<br>34 (4.7%)<br>17 (2.4%)<br>7 (1.0%)<br>6 (0.8%)<br>1 (0.1%)</td>\n",
       "      <td id=\"T_60d55_row11_col4\" class=\"data row11 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row11_col5\" class=\"data row11 col5\" >34<br>(4.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row12_col0\" class=\"data row12 col0\" >13</td>\n",
       "      <td id=\"T_60d55_row12_col1\" class=\"data row12 col1\" ><strong>Victima</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row12_col2\" class=\"data row12 col2\" >1. MOTO<br>2. PEATON<br>3. AUTO<br>4. BICICLETA<br>5. nan<br>6. CARGAS<br>7. PASAJEROS<br>8. MOVIL<br>9. OBJETO FIJO<br>10. PEATON_MOTO</td>\n",
       "      <td id=\"T_60d55_row12_col3\" class=\"data row12 col3\" >293 (40.9%)<br>263 (36.7%)<br>91 (12.7%)<br>29 (4.0%)<br>22 (3.1%)<br>7 (1.0%)<br>5 (0.7%)<br>3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)</td>\n",
       "      <td id=\"T_60d55_row12_col4\" class=\"data row12 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row12_col5\" class=\"data row12 col5\" >22<br>(3.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row13_col0\" class=\"data row13 col0\" >14</td>\n",
       "      <td id=\"T_60d55_row13_col1\" class=\"data row13 col1\" ><strong>Sexo</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row13_col2\" class=\"data row13 col2\" >1. MASCULINO<br>2. FEMENINO<br>3. SD</td>\n",
       "      <td id=\"T_60d55_row13_col3\" class=\"data row13 col3\" >545 (76.0%)<br>166 (23.2%)<br>6 (0.8%)</td>\n",
       "      <td id=\"T_60d55_row13_col4\" class=\"data row13 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAABFCAYAAABdVZTTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAABnklEQVR4nO3bQWrCUBSF4RMJUicvhICLcREutot4uwnBN6jiJB3UgnQoL+dd7P+t4IJ/1RRPt66rAIdd6wPwf3SSDpL2rQ9Bdfd1Xa+tj3jWT9N0TimNrQ9BXaWUpeu6z0jB9Sml8XQ6XYdhuLU+BnVcLpePnPM4z/NeUpzYJGkYhtvxePxqfQyqOrQ+4C8eEGBDbLAhNtgQG2yIDTbEBhtigw2xwYbYYENssCE22BAbbIgNNsQGm176+f1T60NQT9TXsy+lLDnnUQF//4TXlVIWSffWdzxjg/C+wm0QOqZ8cIn4zhbuLxJ1hFtXRVwFoY5Q66qoqyDUEXFdxVPxm+KfurAhNtgQG2yIDTbEBhtigw2xwYbYYENssCE22BAbbIgNNsQGG2KDTah1VZQ7sI1w66qIqyDUwQYBNqyrYMMDAmx+P0bFRxe21k/TdJYk5nPY2i6lND52o5EeEvCG+M4GG2KDDbHBhthgQ2ywITbYEBtsiA02xAYbYoMNscGG2GBDbLAhNtgQG2yIDTb9YzonMZ/DxtggwIYpH2y+ARDSg2w2upFrAAAAAElFTkSuQmCC\"></img></td>\n",
       "      <td id=\"T_60d55_row13_col5\" class=\"data row13 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row14_col0\" class=\"data row14 col0\" >15</td>\n",
       "      <td id=\"T_60d55_row14_col1\" class=\"data row14 col1\" ><strong>Edad</strong><br>[Int64]</td>\n",
       "      <td id=\"T_60d55_row14_col2\" class=\"data row14 col2\" >Mean (sd) : 39.1 (22.0)<br>min < med < max:<br>0.0 < 35.0 < 95.0<br>IQR (CV) : 31.0 (1.8)</td>\n",
       "      <td id=\"T_60d55_row14_col3\" class=\"data row14 col3\" >86 distinct values</td>\n",
       "      <td id=\"T_60d55_row14_col4\" class=\"data row14 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row14_col5\" class=\"data row14 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row15_col0\" class=\"data row15 col0\" >16</td>\n",
       "      <td id=\"T_60d55_row15_col1\" class=\"data row15 col1\" ><strong>Rango etario</strong><br>[category]</td>\n",
       "      <td id=\"T_60d55_row15_col2\" class=\"data row15 col2\" >1.  Entre 21- 40<br>2. Entre 41-60<br>3. Entre 61-80<br>4. Menos de 20<br>5. Más de 80</td>\n",
       "      <td id=\"T_60d55_row15_col3\" class=\"data row15 col3\" >327 (45.6%)<br>158 (22.0%)<br>99 (13.8%)<br>93 (13.0%)<br>40 (5.6%)</td>\n",
       "      <td id=\"T_60d55_row15_col4\" class=\"data row15 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAABzCAYAAACPdnBjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAACSklEQVR4nO3bS2rjQABF0VIjQmciYQxejBfRi+1FaDfGWIMkZKIe9NCfGFJ6Eso5G0gRLhJl9Jppmgok/Fr6APwcYiNGbMQ0pZTXUsrL0gdZqc9pmt6XPsRWtPv9/k/XdbulD7JG4ziem6b5K7g62q7rdsfj8b3v+4+lD7Mml8vl9zAMu9Pp9FJKEVsFbSml9H3/cTgc3pY+zAq9Ln2ALXFBIEZsxIiNGLERIzZixEaM2IgRGzFiI0ZsxIiNGLERIzZi2lL+f06z9EHWxv+kvnYcx/MwDLvic5or4zieSymfS59jK3wW/pjPwitq7EZJcUEgZk2vUa+sjVvNusqSaftWsa6yZPoZ1rSu8tPLxrkgECM2YsRGjNiIERsxYiNGbMSIjRixESM2YsRGjNiIERsxq1hXLf33yVjNusqSaft8Fk6MdRUxLgjEzPUa9UrkyizrKkspbqm+rrKU4p651lWWUlxxQSBGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YqqvqyyluGeWdZWlFLf4LJwY6ypi5niyeapxU/XBi7EL91QdvBi78MgcgxdjF27yoy4xYiNGbMSIjRixESM2YsRGjNiIERsxYiNGbMSIjRixESM2YqquqyyreKT6usqyintsEIixriLm2SebpxXf9tS6ymKKGr5cV1lMUcuz6yqLKb7Nj7rEiI0YsREjNmLERozYiBEbMWIjRmzEiI0YsREjNmLERozYiPlyXWUxRS1PrasspqjBBoEY6ypiXBCIERsx/wDHMQ437G0P0AAAAABJRU5ErkJggg==\"></img></td>\n",
       "      <td id=\"T_60d55_row15_col5\" class=\"data row15 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row16_col0\" class=\"data row16 col0\" >17</td>\n",
       "      <td id=\"T_60d55_row16_col1\" class=\"data row16 col1\" ><strong>Fecha fallecimiento</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row16_col2\" class=\"data row16 col2\" >1. <br>2. 2018-04-27<br>3. 2018-08-03<br>4. 2020-12-25<br>5. 2017-11-19<br>6. 2019-12-18<br>7. 2017-01-16<br>8. 2017-02-26<br>9. 2017-03-23<br>10. 2020-12-20<br>11. other</td>\n",
       "      <td id=\"T_60d55_row16_col3\" class=\"data row16 col3\" >69 (9.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>621 (86.6%)</td>\n",
       "      <td id=\"T_60d55_row16_col4\" class=\"data row16 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row16_col5\" class=\"data row16 col5\" >0<br>(0.0%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row17_col0\" class=\"data row17 col0\" >18</td>\n",
       "      <td id=\"T_60d55_row17_col1\" class=\"data row17 col1\" ><strong>Lugar del hecho</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row17_col2\" class=\"data row17 col2\" >1. nan<br>2. AV 27 DE FEBRERO Y AV ESCALADA<br>3. AV. DR. TRISTAN ACHAVAL RODRIG<br>4. Entre Rios Av. y Garay, Juan D<br>5. AV LA PLATA Y CNEL GREGORIO PO<br>6. Rivadavia Av. y Pedernera<br>7. PAZ, GRAL. AV. Y DEL LIBERTADO<br>8. Paz, Gral. Av. 11200<br>9. AV. RIVADAVIA 1571<br>10. AV. GRAL. PAZ Y MACHAIN<br>11. other</td>\n",
       "      <td id=\"T_60d55_row17_col3\" class=\"data row17 col3\" >15 (2.1%)<br>4 (0.6%)<br>3 (0.4%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>2 (0.3%)<br>681 (95.0%)</td>\n",
       "      <td id=\"T_60d55_row17_col4\" class=\"data row17 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row17_col5\" class=\"data row17 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row18_col0\" class=\"data row18 col0\" >19</td>\n",
       "      <td id=\"T_60d55_row18_col1\" class=\"data row18 col1\" ><strong>Tipo de calle</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row18_col2\" class=\"data row18 col2\" >1. AVENIDA<br>2. CALLE<br>3. GRAL PAZ<br>4. AUTOPISTA<br>5. nan</td>\n",
       "      <td id=\"T_60d55_row18_col3\" class=\"data row18 col3\" >442 (61.6%)<br>136 (19.0%)<br>68 (9.5%)<br>56 (7.8%)<br>15 (2.1%)</td>\n",
       "      <td id=\"T_60d55_row18_col4\" class=\"data row18 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row18_col5\" class=\"data row18 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row19_col0\" class=\"data row19 col0\" >20</td>\n",
       "      <td id=\"T_60d55_row19_col1\" class=\"data row19 col1\" ><strong>Calle</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row19_col2\" class=\"data row19 col2\" >1. PAZ, GRAL. AV.<br>2. RIVADAVIA AV.<br>3. DEL LIBERTADOR AV.<br>4. nan<br>5. ALBERDI, JUAN BAUTISTA AV.<br>6. AUTOPISTA 1 SUR PRESIDENTE ART<br>7. CORRIENTES AV.<br>8. AUTOPISTA 25 DE MAYO<br>9. AUTOPISTA PERITO MORENO<br>10. SAN MARTIN AV.<br>11. other</td>\n",
       "      <td id=\"T_60d55_row19_col3\" class=\"data row19 col3\" >61 (8.5%)<br>20 (2.8%)<br>19 (2.6%)<br>15 (2.1%)<br>13 (1.8%)<br>12 (1.7%)<br>11 (1.5%)<br>11 (1.5%)<br>11 (1.5%)<br>11 (1.5%)<br>533 (74.3%)</td>\n",
       "      <td id=\"T_60d55_row19_col4\" class=\"data row19 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAD+CAYAAAAtWHdlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAEK0lEQVR4nO3dQU4bZwCG4R9k0Xhjy0LyMTiAD9HD9hA+APdAiFnENBu6SIKgiVpcNK+J+zw7pFgaiVdjzej/yMXT09OAwuWpL4D/D7GRERsZsZERGxmxkREbGbGRERuZizHGcoxxdeTnvjw9PR1muB7O2OL6+vr31Wq1OeZD0zTdX1xc/CE4jrFYrVab3W53WK/Xj2/5wMPDw6f9fr+5u7u7GmOIjTdbjDHGer1+3G63n4/43HKm6+GMeUAgIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyizG+nlF76weO+bfw0mKapvv9fr8ZR5xRm6bpfozxZb7L4hzZIJC58CezqPzszuauxSx+WFdZTjGXV+sqyynm9LN1leUUs/BSl4zYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjcyrwYsxC3P6YfBizMJcHAsnY/BCxp2NjMELGYMXMgYvZLzUJSM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiI2PwQsbghYxj4WQMXsh4QCDz969RX6HM5tW6yrKKOV1+X1ftdrvDt+iO/e8g4U2e11XffrasYjYeEMiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2Mi8WlfBnF6uqyyrmJVj4WSsq8i4s5ExeCFj8ELG4IWMl7pkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkDF7IGLyQcSycjMELGXc2MgYvZAxeyBi8kPFSl4zYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyFhXkbGuImODQMa6iszLO5u7GrN6XldZVjG3y9Vqtbm5uRmWVcztcowxlsvln6e+EM6fl7pkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkLscY43A4/HbqC+H8XU7TdH97e2vswuwcCydj8ELGnY2MwQsZgxcyBi9kvNQlIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjY/BCxuCFjGPhZAxeyHhAIONrlIx1FRnrKjLWVWQ8IJARGxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZGxriJjXUXGsXAy1lVk3NnIGLyQMXghY/BCxktdMmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MgYvZAxeyDgWTsbghczLOxu/vg/97fQ8eDn1hfB+H320tFitVpvdbndYr9ePp74Y/ruHh4dP+/1+c3d3dzXG+JixjTHGer1+3G63n099Mbzb8tQX8E+81CUjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiOzGOPr8ZRTXwjv8yv8DhfTNN3v9/vN+ODHU/h3H3205Fj4efnQx8INXsh4QCAjNjJiIyM2MmIjIzYyYiMjNjJiI/MXfhftSgyLAYAAAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_60d55_row19_col5\" class=\"data row19 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row20_col0\" class=\"data row20 col0\" >21</td>\n",
       "      <td id=\"T_60d55_row20_col1\" class=\"data row20 col1\" ><strong>Cruce</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row20_col2\" class=\"data row20 col2\" >1. nan<br>2. PAZ, GRAL. AV.<br>3. ESCALADA AV.<br>4. RIVADAVIA AV.<br>5. INDEPENDENCIA AV.<br>6. DEL LIBERTADOR AV.<br>7. BALBIN, RICARDO, DR. AV.<br>8. RIVERA INDARTE AV.<br>9. PUEYRREDON AV.<br>10. ALBERDI, JUAN BAUTISTA AV.<br>11. other</td>\n",
       "      <td id=\"T_60d55_row20_col3\" class=\"data row20 col3\" >177 (24.7%)<br>14 (2.0%)<br>9 (1.3%)<br>8 (1.1%)<br>7 (1.0%)<br>6 (0.8%)<br>6 (0.8%)<br>6 (0.8%)<br>6 (0.8%)<br>5 (0.7%)<br>473 (66.0%)</td>\n",
       "      <td id=\"T_60d55_row20_col4\" class=\"data row20 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row20_col5\" class=\"data row20 col5\" >177<br>(24.7%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row21_col0\" class=\"data row21 col0\" >22</td>\n",
       "      <td id=\"T_60d55_row21_col1\" class=\"data row21 col1\" ><strong>Dirección normalizada</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row21_col2\" class=\"data row21 col2\" >1. nan<br>2. 27 DE FEBRERO AV. y ESCALADA A<br>3. PAZ, GRAL. AV. y BALBIN, RICAR<br>4. PAZ, GRAL. AV. y DEL LIBERTADO<br>5. ALCORTA, AMANCIO AV. y BONAVEN<br>6. CASTILLO, RAMON S., PRES. AV. <br>7. ACHAVAL RODRIGUEZ, T., DR. AV.<br>8. INDEPENDENCIA AV. y CEVALLOS, <br>9. PAZ, GRAL. AV. y DE LOS CORRAL<br>10. DEL LIBERTADOR AV. y RAMOS MEJ<br>11. other</td>\n",
       "      <td id=\"T_60d55_row21_col3\" class=\"data row21 col3\" >15 (2.1%)<br>5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>671 (93.6%)</td>\n",
       "      <td id=\"T_60d55_row21_col4\" class=\"data row21 col4\" ><img src = \"data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAJsAAAD+CAYAAAAtWHdlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAADv0lEQVR4nO3cQWojVwBF0S9TmPakhCjwYrQILzaLqN0YoxrExhNlEHUGGaSVTnxFlHNmhjbU4PIlF//17nw+Dyg83PoB+P8QGxmxkREbGbGRERsZsZERGxmxkdmNMZ7GGI+Xnz/P5/P7DZ+HOzYty/Iyz/NhjDG2bXvb7Xa/CI6v8DDP8+F4PL4fj8f3S3SPP/wt+AnTGGPs9/uPy89PN3wW7pw/EMiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjcw0xhin0+nbrR+E+zdt2/a2rusfN3XHGJ83fibulA0CmZ3/MovK95NtONH4atOyLC9jjGFVxVd7mOf5YFVFwXs2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYy02XkMoahC1/MtXAyBi9knGxkDF7IGLyQ8eqDjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2MwQsZ18LJGLyQ8Z2NjI9RMtZVZKyryPjORkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGxrqKjGvhZKyryDjZyBi8kDF4IePVBxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGYMXMq6FkzF4IeNkI2PwQsbghYxXH2TERkZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGxrqKjA0CGesqMk42MtZVZKyryHj1QUZsZMRGRmxkxEZGbGTERkZsZMRGRmxkxEZGbGTERkZsZMRGxuCFjGvhZAxeyDjZyBi8kDF4IePVBxmxkREbGbGRERsZsZERGxmxkREbGbGRERsZsZERGxmxkREbGYMXMq6FkzF4IeM7Gxkfo2Ssq8hYV5HxnY2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYx1FRnXwslYV5FxspExeCFj8ELGqw8yYiMjNjJiIyM2MmIjIzYyYiMjNjJiIyM2MmIjIzYyYiMjNjIGL2RcCydj8ELm+8nmSjj/xOc1n4zTsiwvlw0C/JRt296uGUxN8zwfjsfj+36//6gejvtxOp2+ret6eH19fRxj/HVsY4yx3+8/np+ff02ejnv0dM0/8p6NjNjIiI2M2MiIjYzYyIiNjNjIiI2M2MiIjYzYyIiNzDTG79dEbv0g/Df9nXambdve1nU9jCuvicCfXUZTPxxMuRbOv+Gqa+EGL2T8gUBGbGTERkZsZMRGRmxkxEZGbGTERuY3dKAjpjuo6M4AAAAASUVORK5CYII=\"></img></td>\n",
       "      <td id=\"T_60d55_row21_col5\" class=\"data row21 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row22_col0\" class=\"data row22 col0\" >23</td>\n",
       "      <td id=\"T_60d55_row22_col1\" class=\"data row22 col1\" ><strong>Comuna</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row22_col2\" class=\"data row22 col2\" >1. Comuna 1<br>2. Comuna 4<br>3. Comuna 9<br>4. Comuna 8<br>5. Comuna 7<br>6. Comuna 3<br>7. Comuna 15<br>8. Comuna 12<br>9. Comuna 13<br>10. Comuna 14<br>11. other</td>\n",
       "      <td id=\"T_60d55_row22_col3\" class=\"data row22 col3\" >93 (13.0%)<br>75 (10.5%)<br>72 (10.0%)<br>66 (9.2%)<br>61 (8.5%)<br>46 (6.4%)<br>45 (6.3%)<br>39 (5.4%)<br>39 (5.4%)<br>34 (4.7%)<br>147 (20.5%)</td>\n",
       "      <td id=\"T_60d55_row22_col4\" class=\"data row22 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row22_col5\" class=\"data row22 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row23_col0\" class=\"data row23 col0\" >24</td>\n",
       "      <td id=\"T_60d55_row23_col1\" class=\"data row23 col1\" ><strong>Barrios</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row23_col2\" class=\"data row23 col2\" >1. CONSTITUCION - MONTSERRAT - PU<br>2. BARRACAS - BOCA - NUEVA POMPEY<br>3. LINIERS - MATADEROS - PARQUE A<br>4. VILLA LUGANO - VILLA RIACHUELO<br>5. FLORES - PARQUE CHACABUCO<br>6. BALVANERA - SAN CRISTOBAL<br>7. AGRONOMIA - CHACARITA -  PARQU<br>8. COGHLAN - SAAVEDRA - VILLA PUE<br>9. BELGRANO - COLEGIALES - NUÃ‘EZ<br>10. PALERMO<br>11. other</td>\n",
       "      <td id=\"T_60d55_row23_col3\" class=\"data row23 col3\" >93 (13.0%)<br>75 (10.5%)<br>72 (10.0%)<br>66 (9.2%)<br>61 (8.5%)<br>46 (6.4%)<br>45 (6.3%)<br>39 (5.4%)<br>39 (5.4%)<br>34 (4.7%)<br>147 (20.5%)</td>\n",
       "      <td id=\"T_60d55_row23_col4\" class=\"data row23 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row23_col5\" class=\"data row23 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row24_col0\" class=\"data row24 col0\" >25</td>\n",
       "      <td id=\"T_60d55_row24_col1\" class=\"data row24 col1\" ><strong>Xy (caba)</strong><br>[object]</td>\n",
       "      <td id=\"T_60d55_row24_col2\" class=\"data row24 col2\" >1. nan<br>2. Point (101721.59002217 93844.2<br>3. Point (96563.66494817 108815.7<br>4. Point (97098.48468623 109019.9<br>5. Point (95832.05571093 95505.41<br>6. Point (104283.01090451 97171.0<br>7. Point (99620.34936816 110483.2<br>8. Point (109583.11620052 102006.<br>9. Point (107903.91828587 98767.4<br>10. Point (107160.34141948 105678.<br>11. other</td>\n",
       "      <td id=\"T_60d55_row24_col3\" class=\"data row24 col3\" >15 (2.1%)<br>5 (0.7%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>4 (0.6%)<br>3 (0.4%)<br>3 (0.4%)<br>3 (0.4%)<br>668 (93.2%)</td>\n",
       "      <td id=\"T_60d55_row24_col4\" class=\"data row24 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row24_col5\" class=\"data row24 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row25_col0\" class=\"data row25 col0\" >26</td>\n",
       "      <td id=\"T_60d55_row25_col1\" class=\"data row25 col1\" ><strong>Coordenada x</strong><br>[float64]</td>\n",
       "      <td id=\"T_60d55_row25_col2\" class=\"data row25 col2\" >Mean (sd) : 101980.1 (4253.7)<br>min < med < max:<br>93889.9 < 101721.6 < 109831.1<br>IQR (CV) : 6886.5 (24.0)</td>\n",
       "      <td id=\"T_60d55_row25_col3\" class=\"data row25 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_60d55_row25_col4\" class=\"data row25 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row25_col5\" class=\"data row25 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row26_col0\" class=\"data row26 col0\" >27</td>\n",
       "      <td id=\"T_60d55_row26_col1\" class=\"data row26 col1\" ><strong>Coordenada y</strong><br>[float64]</td>\n",
       "      <td id=\"T_60d55_row26_col2\" class=\"data row26 col2\" >Mean (sd) : 101070.6 (3914.9)<br>min < med < max:<br>91571.2 < 100711.7 < 110496.1<br>IQR (CV) : 5194.8 (25.8)</td>\n",
       "      <td id=\"T_60d55_row26_col3\" class=\"data row26 col3\" >605 distinct values</td>\n",
       "      <td id=\"T_60d55_row26_col4\" class=\"data row26 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row26_col5\" class=\"data row26 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row27_col0\" class=\"data row27 col0\" >28</td>\n",
       "      <td id=\"T_60d55_row27_col1\" class=\"data row27 col1\" ><strong>Pos x</strong><br>[float64]</td>\n",
       "      <td id=\"T_60d55_row27_col2\" class=\"data row27 col2\" >Mean (sd) : -58.4 (0.0)<br>min < med < max:<br>-58.5 < -58.4 < -58.4<br>IQR (CV) : 0.1 (-1260.0)</td>\n",
       "      <td id=\"T_60d55_row27_col3\" class=\"data row27 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_60d55_row27_col4\" class=\"data row27 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row27_col5\" class=\"data row27 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_60d55_row28_col0\" class=\"data row28 col0\" >29</td>\n",
       "      <td id=\"T_60d55_row28_col1\" class=\"data row28 col1\" ><strong>Pos y</strong><br>[float64]</td>\n",
       "      <td id=\"T_60d55_row28_col2\" class=\"data row28 col2\" >Mean (sd) : -34.6 (0.0)<br>min < med < max:<br>-34.7 < -34.6 < -34.5<br>IQR (CV) : 0.0 (-981.0)</td>\n",
       "      <td id=\"T_60d55_row28_col3\" class=\"data row28 col3\" >602 distinct values</td>\n",
       "      <td id=\"T_60d55_row28_col4\" class=\"data row28 col4\" ><img src = \"data:image/png;base64, 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\"></img></td>\n",
       "      <td id=\"T_60d55_row28_col5\" class=\"data row28 col5\" >15<br>(2.1%)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "\n",
       "    </div>\n",
       "    <style>\n",
       "    #btn-2206.st-collapsible {\n",
       "      background-color: white;\n",
       "      color: #444;\n",
       "      cursor: pointer;\n",
       "      padding: 1.5rem 2rem;\n",
       "      width: 100%;\n",
       "      text-align: left;\n",
       "      outline: none;\n",
       "      font-size: 14px;\n",
       "      border-top-left-radius: 0.375rem;\n",
       "      border-top-right-radius: 0.375rem;\n",
       "      border: 1px solid #dee2e6;\n",
       "      border-bottom: none;\n",
       "      font-weight: 500;\n",
       "    }\n",
       "\n",
       "    #btn-2206.active {\n",
       "      background-color: #e7f1ff;\n",
       "      color: #0c63e4;\n",
       "    }\n",
       "\n",
       "    #cont-2206.st-content {\n",
       "      padding: 0 10px;\n",
       "      background-color: white;\n",
       "      max-height: 0;\n",
       "      overflow: hidden;\n",
       "      transition: max-height 0.2s ease-out;\n",
       "      border: 1px solid #dee2e6;\n",
       "      border-top: none;\n",
       "    }\n",
       "\n",
       "    #cont-2206.st-content .active {\n",
       "      border: 1px solid #dee2e6;\n",
       "      border-bottom-left-radius: 0.375rem;\n",
       "      border-bottom-right-radius: 0.375rem;\n",
       "    }\n",
       "\n",
       "    #btn-2206.st-collapsible:after {\n",
       "      content: '';\n",
       "      background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n",
       "      color: #444;\n",
       "      font-weight: bold;\n",
       "      float: right;\n",
       "      margin-left: 5px;\n",
       "      height: 1.5em;\n",
       "      width:  1.5rem;\n",
       "      background-repeat: no-repeat;\n",
       "      transition: transform 0.2s ease-in-out;\n",
       "    }\n",
       "\n",
       "    #btn-2206.active:after {\n",
       "      content: '';\n",
       "      background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%230c63e4'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n",
       "      transform: rotate(180deg);\n",
       "    }\n",
       "    </style><script>\n",
       "    function coll_toggle_2206(){\n",
       "        var coll = document.getElementById(\"btn-2206\");\n",
       "        var content = document.getElementById(\"cont-2206\");\n",
       "        coll.classList.toggle(\"active\");\n",
       "        if (content.style.maxHeight){\n",
       "          content.style.maxHeight = null;\n",
       "          coll.innerHTML = \"Show Summary - siniestros_limpio\";\n",
       "        } else {\n",
       "          content.style.maxHeight = content.scrollHeight + \"px\";\n",
       "          coll.innerHTML = \"Hide Summary - siniestros_limpio\";\n",
       "        }\n",
       "    }  \n",
       "\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfSummary(siniestros_limpio, is_collapsible=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exportar CSV Limpio\n",
    "Se guarda el archivo como csv para optimizar su manipulación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "siniestros_limpio.to_csv(\"data/siniestos_limpio.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 717 entries, 0 to 716\n",
      "Data columns (total 29 columns):\n",
      " #   Column                 Non-Null Count  Dtype   \n",
      "---  ------                 --------------  -----   \n",
      " 0   Id                     717 non-null    object  \n",
      " 1   Fecha                  702 non-null    object  \n",
      " 2   Año                    702 non-null    Int64   \n",
      " 3   Mes                    702 non-null    Int64   \n",
      " 4   Día                    702 non-null    Int64   \n",
      " 5   Día semana             702 non-null    object  \n",
      " 6   Hora completa          701 non-null    object  \n",
      " 7   Hora                   701 non-null    Int64   \n",
      " 8   Num víctimas           717 non-null    Int64   \n",
      " 9   Participantes          702 non-null    object  \n",
      " 10  Rol                    717 non-null    object  \n",
      " 11  Acusado                683 non-null    object  \n",
      " 12  Victima                695 non-null    object  \n",
      " 13  Sexo                   717 non-null    object  \n",
      " 14  Edad                   717 non-null    Int64   \n",
      " 15  Rango etario           717 non-null    category\n",
      " 16  Fecha fallecimiento    717 non-null    object  \n",
      " 17  Lugar del hecho        702 non-null    object  \n",
      " 18  Tipo de calle          702 non-null    object  \n",
      " 19  Calle                  702 non-null    object  \n",
      " 20  Cruce                  540 non-null    object  \n",
      " 21  Dirección normalizada  702 non-null    object  \n",
      " 22  Comuna                 702 non-null    object  \n",
      " 23  Barrios                702 non-null    object  \n",
      " 24  Xy (caba)              702 non-null    object  \n",
      " 25  Coordenada x           702 non-null    float64 \n",
      " 26  Coordenada y           702 non-null    float64 \n",
      " 27  Pos x                  702 non-null    float64 \n",
      " 28  Pos y                  702 non-null    float64 \n",
      "dtypes: Int64(6), category(1), float64(4), object(18)\n",
      "memory usage: 162.1+ KB\n"
     ]
    }
   ],
   "source": [
    "siniestros_limpio.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conectarse desde Clever Cloud a SQL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Conexión con la base de datos MySQL exitosa.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "717"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reemplaza 'nombre_de_usuario', 'contraseña', 'nombre_de_base_de_datos' con tus propios valores\n",
    "nombre_de_usuario = 'u4f4otqetsyqgwbk'\n",
    "contraseña = 'ni92t8kuAE5uK37JkdTM'\n",
    "nombre_de_base_de_datos = 'bjxjaprxrl2bg5tyhzy6'\n",
    "host = 'bjxjaprxrl2bg5tyhzy6-mysql.services.clever-cloud.com'\n",
    "\n",
    "# Crear la conexión a la base de datos utilizando mysql-connector-python\n",
    "engine = sqlalchemy.create_engine(f'mysql+mysqlconnector://{nombre_de_usuario}:{contraseña}@{host}/{nombre_de_base_de_datos}')\n",
    "\n",
    "# Imprimir mensaje si la conexión es exitosa\n",
    "try:\n",
    "    connection = engine.connect()\n",
    "    print(\"Conexión con la base de datos MySQL exitosa.\")\n",
    "except Exception as e:\n",
    "    print(f\"Error al conectar con la base de datos MySQL: {e}\")\n",
    "\n",
    "# Exportar el DataFrame a la tabla 'Homicidios'\n",
    "siniestros_limpio.to_sql('siniestros_limpio', engine, if_exists='replace',index=False)"
   ]
  }
 ],
 "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": "3.12.0"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}