ETL.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Procesado ETL de datos de Homicidios en siniestros viales en la Ciudad de Buenos Aires (2016-2021)\n",
    "\n",
    "#### Homicidios\n",
    "\n",
    "Esta base de datos contiene registros sobre homicidios en siniestros viales acaecidos en la Ciudad de Buenos Aires durante el periodo 2016-2021, acontinuación se presenta ol procesado ETL de estos datos para poder utilizarlos posteriormente en el análisis exploratorio de datos.\n",
    "\n",
    "Fuente de los datos:  https://cdn.buenosaires.gob.ar/datosabiertos/datasets/transporte-y-obras-publicas/victimas-siniestros-viales/homicidios.xlsx\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Librerias utilizadas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Carga de los datos\n",
    "\n",
    "Primero visualizamos el nombre de las hojas del archivo, para luego utilizar pandas y cargarlas correctamente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La base de datos `homidicios.xslx` dispone de 4 hojas de interes, una llamada `HECHOS`,otra llamada `VICTIMAS` que son tablas y las demas correspondena a el diccionario de datos de cada una, por lo tanto, se procedera a cargar estas tablas y realizar una exploración individual. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos = pd.read_excel(\"./data/homicidios.xlsx\", sheet_name=\"HECHOS\")\n",
    "victimas = pd.read_excel(\"./data/homicidios.xlsx\", sheet_name=\"VICTIMAS\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Procesamiento de la tabla `hechos`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
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       "      <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": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "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": [
    "hechos.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reporte Preliminar\n",
    "\n",
    "La tabla `hechos` contiene un total de 696 entradas, distribuidas en 21 columnas. A continuación, se presenta un análisis preliminar de cada variable:\n",
    "\n",
    "1. **ID**: Todos los registros están completos (696 no nulos), deberia contener un identificador único para cada hecho.\n",
    "\n",
    "2. **N_VICTIMAS**: Con 696 valores no nulos, esta variable numérica podría ser utilizada para analizar la distribución del número de víctimas por incidente, permitiendo identificar tendencias o patrones en la gravedad de los mismos.\n",
    "\n",
    "3. **FECHA**: También completa para todos los registros, proporciona una marca temporal precisa de cada incidente. Esta variable es fundamental para análisis temporales, permitiendo explorar patrones estacionales, mensuales o diarios.\n",
    "\n",
    "4. **AAAA**, **MM**, **DD**: Estas columnas desglosan la fecha del incidente en año, mes y día, respectivamente, facilitando análisis específicos por periodos de tiempo. La completitud de estos campos asegura una base sólida para dicho análisis.\n",
    "\n",
    "5. **HORA**, **HH**: Al igual que con la fecha, estas variables permiten un análisis detallado del momento del día en que ocurren los incidentes. La variable `HORA` parece contener la hora en formato objeto, mientras que `HH` podría ser una representación específica o un desglose adicional de la misma.\n",
    "\n",
    "6. **LUGAR_DEL_HECHO**, **TIPO_DE_CALLE**, **Calle**: Estas variables aportan información detallada sobre la ubicación de los incidentes. La casi total completitud de 'Calle' (695 no nulos) y la totalidad en 'LUGAR_DEL_HECHO' y 'TIPO_DE_CALLE' sugieren un buen fundamento para análisis geográficos.\n",
    "\n",
    "7. **Altura**: Con solo 129 registros no nulos, esta variable presenta un alto grado de valores faltantes, lo que requiere una evaluación cuidadosa para su uso en análisis detallados de localización.\n",
    "\n",
    "8. **Cruce**: Con 525 valores no nulos, esta variable complementa la información de ubicación, aunque también presenta un número significativo de entradas faltantes. Podría requerir técnicas de imputación o un análisis específico para las entradas completas.\n",
    "\n",
    "9. **Dirección Normalizada**: Con 688 valores no nulos, ofrece una versión estandarizada de las direcciones de los incidentes, lo que puede ser útil para unificar y comparar datos de localización.\n",
    "\n",
    "10. **COMUNA**: Completa para todos los registros, esta variable numérica puede facilitar el análisis por regiones específicas dentro de la jurisdicción de los incidentes.\n",
    "\n",
    "11. **XY (CABA)**, **pos x**, **pos y**: Estas variables, completas en todos los registros, proporcionan coordenadas específicas para análisis geoespaciales detallados, permitiendo visualizaciones y estudios de concentración de incidentes.\n",
    "\n",
    "12. **PARTICIPANTES**, **VICTIMA**, **ACUSADO**: Con información completa en todas estas columnas, ofrecen un contexto detallado sobre los involucrados en cada incidente, abriendo posibilidades para análisis demográficos y de relaciones entre participantes.\n",
    "\n",
    "\n",
    "Ahora, con este conocimiento de las variables que contiene la tabla `hechos`, se procederá a realizar un análisis individual y grupal de las mismas para verificar su integridad, valores nulos, duplicados y se comprobara la necesidad de realizar transformaciones \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ID\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificamos ID duplicados\n",
    "\n",
    "hechos[\"ID\"].duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cada hecho tiene un identificador único, "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### N_VICTIMAS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3], dtype=int64)"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificamos valores únicos\n",
    "\n",
    "hechos['N_VICTIMAS'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FECHA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0   2016-01-01\n",
      "1   2016-01-02\n",
      "2   2016-01-03\n",
      "3   2016-01-10\n",
      "4   2016-01-21\n",
      "Name: FECHA, dtype: datetime64[ns]\n",
      "count                              696\n",
      "mean     2018-09-14 05:12:24.827586048\n",
      "min                2016-01-01 00:00:00\n",
      "25%                2017-04-02 12:00:00\n",
      "50%                2018-07-12 12:00:00\n",
      "75%                2020-01-04 06:00:00\n",
      "max                2021-12-30 00:00:00\n",
      "Name: FECHA, dtype: object\n",
      "datetime64[ns]\n"
     ]
    }
   ],
   "source": [
    "print(hechos['FECHA'].head())\n",
    "print(hechos['FECHA'].describe())\n",
    "print(hechos['FECHA'].dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El formato de fecha identificado es \"yyyy-mm-dd\" y el tipo de dato es datetime64[ns] con un rango de 2016 a 2021, no se encuentra ninguna inconsistencia en esta variable, por lo que no se realizaran transformaciones. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### AAAA, MM, DD, HORA, HH\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      04:00:00\n",
       "1      01:15:00\n",
       "2      07:00:00\n",
       "3      00:00:00\n",
       "4      05:20:00\n",
       "         ...   \n",
       "691    17:10:00\n",
       "692    01:10:00\n",
       "693    00:43:00\n",
       "694    10:30:00\n",
       "695    06:10:00\n",
       "Name: HORA, Length: 696, dtype: object"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos['HORA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2016 2017 2018 2019 2020 2021]\n",
      "[ 1  2  3  4  5  6  7  8  9 10 11 12]\n",
      "[ 1  2  3 10 21 24 29  8 14 15 17 28  4 12 13 19 23 30 31 11 20 22 25 26\n",
      " 16 18 27  7  9  5  6]\n",
      "[datetime.time(4, 0) datetime.time(1, 15) datetime.time(7, 0)\n",
      " datetime.time(0, 0) datetime.time(5, 20) datetime.time(18, 30)\n",
      " datetime.time(19, 10) datetime.time(15, 20) datetime.time(1, 20)\n",
      " datetime.time(11, 30) datetime.time(5, 14) datetime.time(22, 0)\n",
      " datetime.time(16, 54) datetime.time(9, 30) datetime.time(16, 0)\n",
      " datetime.time(23, 35) datetime.time(6, 0) datetime.time(4, 50)\n",
      " datetime.time(7, 30) datetime.time(9, 35) datetime.time(10, 0)\n",
      " datetime.time(17, 30) datetime.time(12, 30) datetime.time(0, 15)\n",
      " datetime.time(11, 0) datetime.time(8, 6) datetime.time(1, 50)\n",
      " datetime.time(18, 15) datetime.time(19, 40) datetime.time(10, 25)\n",
      " datetime.time(5, 30) datetime.time(17, 40) datetime.time(9, 50)\n",
      " datetime.time(20, 0) datetime.time(21, 0) datetime.time(20, 30)\n",
      " datetime.time(4, 45) datetime.time(14, 0) datetime.time(16, 30)\n",
      " datetime.time(18, 11) datetime.time(14, 40) datetime.time(17, 0)\n",
      " datetime.time(3, 30) datetime.time(15, 0) datetime.time(6, 40)\n",
      " datetime.time(23, 13) datetime.time(16, 20) datetime.time(21, 52)\n",
      " datetime.time(23, 1) datetime.time(17, 13) datetime.time(6, 42)\n",
      " datetime.time(7, 42) datetime.time(18, 24) datetime.time(20, 46)\n",
      " datetime.time(16, 10) datetime.time(0, 10) datetime.time(15, 30)\n",
      " datetime.time(6, 12) datetime.time(18, 45) datetime.time(16, 8)\n",
      " datetime.time(23, 27) datetime.time(19, 42) datetime.time(23, 37)\n",
      " datetime.time(21, 15) datetime.time(0, 5) datetime.time(21, 2)\n",
      " datetime.time(8, 22) datetime.time(5, 45) datetime.time(20, 21)\n",
      " datetime.time(4, 40) datetime.time(16, 45) datetime.time(11, 20)\n",
      " datetime.time(11, 50) datetime.time(20, 20) datetime.time(7, 10)\n",
      " datetime.time(9, 0) datetime.time(15, 24) datetime.time(12, 14)\n",
      " datetime.time(22, 45) datetime.time(19, 13) datetime.time(2, 30)\n",
      " datetime.time(5, 0) datetime.time(0, 39) datetime.time(23, 0)\n",
      " datetime.time(2, 58) datetime.time(23, 30) datetime.time(4, 41)\n",
      " datetime.time(12, 10) datetime.time(20, 56) datetime.time(22, 20)\n",
      " datetime.time(18, 20) datetime.time(20, 35) datetime.time(21, 10)\n",
      " datetime.time(15, 42) datetime.time(14, 14) datetime.time(16, 50)\n",
      " datetime.time(7, 21) datetime.time(7, 22) datetime.time(6, 16)\n",
      " datetime.time(8, 25) datetime.time(10, 40) datetime.time(17, 10)\n",
      " datetime.time(19, 0) datetime.time(8, 0) datetime.time(19, 52)\n",
      " datetime.time(8, 15) datetime.time(1, 41) datetime.time(16, 18)\n",
      " datetime.time(1, 0) datetime.time(3, 10) datetime.time(0, 40)\n",
      " datetime.time(13, 56) datetime.time(8, 27, 34) datetime.time(15, 18, 3)\n",
      " datetime.time(5, 12, 21) datetime.time(20, 50) datetime.time(17, 5)\n",
      " datetime.time(5, 15) datetime.time(21, 57) datetime.time(9, 20)\n",
      " datetime.time(2, 15) datetime.time(1, 30) datetime.time(7, 50)\n",
      " datetime.time(18, 0) datetime.time(3, 0) datetime.time(9, 40)\n",
      " datetime.time(23, 15) datetime.time(6, 15) datetime.time(6, 30)\n",
      " datetime.time(18, 16) datetime.time(11, 8, 8) datetime.time(3, 47, 47)\n",
      " datetime.time(3, 40) datetime.time(20, 16, 22) datetime.time(8, 30)\n",
      " datetime.time(23, 10) datetime.time(9, 24) datetime.time(7, 20)\n",
      " datetime.time(13, 29, 30) datetime.time(10, 13) datetime.time(18, 10)\n",
      " datetime.time(2, 45) datetime.time(19, 50) datetime.time(14, 15)\n",
      " datetime.time(13, 20) datetime.time(23, 20) datetime.time(12, 50)\n",
      " datetime.time(22, 38) datetime.time(14, 50) datetime.time(23, 45)\n",
      " datetime.time(16, 26) datetime.time(10, 15) datetime.time(22, 40)\n",
      " datetime.time(0, 25) datetime.time(12, 49) datetime.time(10, 45)\n",
      " datetime.time(22, 30) datetime.time(12, 5) datetime.time(13, 0)\n",
      " datetime.time(22, 16, 1) datetime.time(16, 48, 40) datetime.time(8, 50)\n",
      " datetime.time(19, 45) datetime.time(7, 45) datetime.time(1, 10)\n",
      " datetime.time(4, 53, 8) datetime.time(18, 23, 37)\n",
      " datetime.time(9, 32, 17) datetime.time(18, 52, 33) datetime.time(22, 24)\n",
      " datetime.time(7, 2, 9) datetime.time(15, 55, 33) datetime.time(1, 5, 38)\n",
      " datetime.time(14, 40, 28) datetime.time(6, 12, 20)\n",
      " datetime.time(19, 15, 15) datetime.time(12, 14, 10) datetime.time(8, 43)\n",
      " datetime.time(11, 45) datetime.time(10, 30) datetime.time(23, 22, 17)\n",
      " datetime.time(21, 45) datetime.time(6, 45) datetime.time(11, 15)\n",
      " datetime.time(12, 20) datetime.time(2, 0) datetime.time(9, 15)\n",
      " datetime.time(21, 25, 41) datetime.time(9, 2) datetime.time(21, 30)\n",
      " datetime.time(4, 31, 27) datetime.time(13, 15) '22:50:00' '16:40:00'\n",
      " '10:12:00' '09:40:00' '22:30:00' '21:15:00' '02:30:00' '17:50:00'\n",
      " datetime.time(5, 10) '10:30:00' '13:30:00' '08:15:00' '20:00:00'\n",
      " '01:00:00' '10:15:00' '04:15:00' '07:15:00' '12:30:00' '22:00:00'\n",
      " '10:45:00' '00:00:00' '06:00:00' '23:00:00' '04:45:00' '15:45:00'\n",
      " '18:00:00' '01:30:00' '13:00:00' '18:15:00' '16:45:00' '23:15:00'\n",
      " datetime.time(22, 15) datetime.time(18, 43) '06:30:00' '09:00:00'\n",
      " '07:00:00' '03:15:00' datetime.time(19, 15) '18:45:00' '20:30:00'\n",
      " '11:15:00' datetime.time(6, 20) datetime.time(16, 15)\n",
      " datetime.time(15, 45) datetime.time(17, 50) datetime.time(6, 4)\n",
      " datetime.time(7, 15) datetime.time(22, 22) datetime.time(15, 53)\n",
      " datetime.time(7, 25) datetime.time(21, 44) '19:20:00'\n",
      " datetime.time(16, 36) '17:56:00' '10:34:00' datetime.time(18, 47)\n",
      " '08:20:00' '08:41:00' '05:35:00' '00:59:00' '22:20:00'\n",
      " datetime.time(10, 50) '05:00:00' '14:25:00' '00:15:00' '00:30:00'\n",
      " '17:51:00' datetime.time(8, 58) '18:12:00' '22:02:00' '14:20:00'\n",
      " '22:12:00' '03:05:00' '12:13:00' '09:18:00' '11:00:00' '02:15:00'\n",
      " '14:49:00' datetime.time(22, 35) '13:34:00' '16:32:00' '03:32:00'\n",
      " '19:40:00' '21:12:00' datetime.time(12, 11) '09:14:00' '04:30:00'\n",
      " '04:01:00' '03:00:00' '08:26:00' '14:07:00' '21:00:00' '15:42:00'\n",
      " datetime.time(20, 15) '09:30:00' datetime.time(8, 5) '05:25:00'\n",
      " datetime.time(19, 58) datetime.time(12, 0) datetime.time(19, 34)\n",
      " datetime.time(14, 55) datetime.time(3, 16) datetime.time(6, 57)\n",
      " datetime.time(21, 1) datetime.time(22, 50)\n",
      " datetime.datetime(1900, 1, 2, 0, 0) datetime.time(8, 28)\n",
      " datetime.datetime(1900, 1, 14, 7, 12) datetime.time(13, 10)\n",
      " datetime.time(7, 32) datetime.time(11, 11) datetime.time(19, 55)\n",
      " datetime.time(9, 8) datetime.time(14, 10) datetime.time(22, 46)\n",
      " datetime.time(3, 5) datetime.time(12, 45) datetime.time(7, 27)\n",
      " datetime.time(17, 20) datetime.time(17, 16) datetime.time(18, 40)\n",
      " datetime.time(3, 15) datetime.time(5, 25)\n",
      " datetime.datetime(1900, 1, 4, 18, 40) datetime.time(22, 18)\n",
      " datetime.time(18, 26) datetime.time(19, 33) datetime.time(4, 20)\n",
      " datetime.time(14, 30) 'SD' datetime.time(4, 25) datetime.time(21, 40)\n",
      " datetime.time(12, 55) datetime.time(0, 37) datetime.time(11, 29)\n",
      " datetime.time(2, 14) datetime.time(18, 42) datetime.time(7, 58)\n",
      " datetime.time(5, 35) datetime.time(6, 25) datetime.time(3, 20)\n",
      " datetime.time(4, 30) datetime.time(19, 17, 42) datetime.time(1, 45)\n",
      " datetime.time(0, 20) datetime.time(6, 50) datetime.time(6, 35)\n",
      " datetime.time(17, 19) datetime.time(15, 35) datetime.time(7, 40)\n",
      " datetime.time(5, 50) datetime.time(4, 15) datetime.time(10, 20)\n",
      " datetime.time(9, 12, 18) datetime.time(1, 4, 26) datetime.time(20, 7, 22)\n",
      " datetime.time(6, 10) datetime.time(0, 50) datetime.time(4, 10)\n",
      " datetime.time(3, 45) datetime.time(2, 35) datetime.time(18, 5)\n",
      " datetime.time(10, 29) datetime.time(11, 40) datetime.time(12, 9)\n",
      " datetime.time(17, 24) datetime.time(9, 58) datetime.time(13, 30)\n",
      " datetime.time(19, 20) datetime.time(5, 40) datetime.time(14, 44)\n",
      " datetime.time(23, 25) datetime.time(7, 16) datetime.time(9, 29)\n",
      " datetime.time(17, 15) datetime.time(16, 16) datetime.time(13, 35)\n",
      " datetime.time(4, 39) datetime.time(0, 35) datetime.time(10, 10)\n",
      " datetime.time(11, 22) datetime.time(15, 40) datetime.time(0, 43)]\n",
      "[4 1 7 0 5 18 19 15 11 22 16 9 23 6 10 17 12 8 20 21 14 3 2 13 'SD']\n"
     ]
    }
   ],
   "source": [
    "print(hechos['AAAA'].unique())\n",
    "print(hechos['MM'].unique())\n",
    "print(hechos['DD'].unique())\n",
    "print(hechos['HORA'].unique())\n",
    "print(hechos['HH'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`AAAA` contiene el rango de años 2016-2021, `MM` contiene el rango de meses 1-12, `DD` contiene el rango de días 1-31.\n",
    "\n",
    "Por otra parte, la variable `HORA` contiene registros que no estan en formato 'hh:mm:ss' datetime, se han detectado datos sin definir 'SD', y registros que no estan en el tipo de dato datetime, por lo que se procedera a realizar una transformación de esta variable.\n",
    "`HH`  contiene el rango de horas 0-23, se observan registros sin definir 'SD'.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, time\n",
    "\n",
    "# Corrección de la función para normalizar la columna HORA\n",
    "\n",
    "\n",
    "def normalizar_hora(hora):\n",
    "    if isinstance(hora, str):  # Si el valor es una cadena, convertir a datetime.time\n",
    "        try:\n",
    "            hora_dt = datetime.strptime(hora, '%H:%M:%S')\n",
    "            return hora_dt.strftime('%H:%M')\n",
    "        except ValueError:\n",
    "            try:\n",
    "                # Manejar formato sin segundos\n",
    "                hora_dt = datetime.strptime(hora, '%H:%M')\n",
    "                return hora_dt.strftime('%H:%M')\n",
    "            except ValueError:\n",
    "                # Devolver como está si no coincide con los formatos esperados\n",
    "                return hora\n",
    "    elif isinstance(hora, time):  # Si ya es un objeto datetime.time, convertir a cadena\n",
    "        return hora.strftime('%H:%M')\n",
    "\n",
    "    # si es formato datetime.datetime, convertir a NA\n",
    "    elif isinstance(hora, datetime):\n",
    "        return pd.NA\n",
    "    else:\n",
    "        # Manejar otros tipos no esperados, devolver como está\n",
    "        return hora\n",
    "\n",
    "\n",
    "# Aplicar la función de normalización a la columna HORA\n",
    "hechos['HORA'] = hechos['HORA'].apply(normalizar_hora)\n",
    "\n",
    "# Tratar 'HH' como nulo para valores 'SD'\n",
    "hechos['HORA'] = hechos['HORA'].replace('SD', pd.NA)\n",
    "hechos['HH'] = hechos['HH'].replace('SD', pd.NA)\n",
    "\n",
    "\n",
    "# convertir a datetime.time la columna HORA\n",
    "\n",
    "hechos['HORA'] = pd.to_datetime(\n",
    "    hechos['HORA'], format='%H:%M', errors='coerce').dt.time\n",
    "\n",
    "# Eliminar valores nulos para la columna HORA y HH\n",
    "hechos = hechos.dropna(subset=['HORA', 'HH'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[datetime.time(4, 0) datetime.time(1, 15) datetime.time(7, 0)\n",
      " datetime.time(0, 0) datetime.time(5, 20) datetime.time(18, 30)\n",
      " datetime.time(19, 10) datetime.time(15, 20) datetime.time(1, 20)\n",
      " datetime.time(11, 30) datetime.time(5, 14) datetime.time(22, 0)\n",
      " datetime.time(16, 54) datetime.time(9, 30) datetime.time(16, 0)\n",
      " datetime.time(23, 35) datetime.time(6, 0) datetime.time(4, 50)\n",
      " datetime.time(7, 30) datetime.time(9, 35) datetime.time(10, 0)\n",
      " datetime.time(17, 30) datetime.time(12, 30) datetime.time(0, 15)\n",
      " datetime.time(11, 0) datetime.time(8, 6) datetime.time(1, 50)\n",
      " datetime.time(18, 15) datetime.time(19, 40) datetime.time(10, 25)\n",
      " datetime.time(5, 30) datetime.time(17, 40) datetime.time(9, 50)\n",
      " datetime.time(20, 0) datetime.time(21, 0) datetime.time(20, 30)\n",
      " datetime.time(4, 45) datetime.time(14, 0) datetime.time(16, 30)\n",
      " datetime.time(18, 11) datetime.time(14, 40) datetime.time(17, 0)\n",
      " datetime.time(3, 30) datetime.time(15, 0) datetime.time(6, 40)\n",
      " datetime.time(23, 13) datetime.time(16, 20) datetime.time(21, 52)\n",
      " datetime.time(23, 1) datetime.time(17, 13) datetime.time(6, 42)\n",
      " datetime.time(7, 42) datetime.time(18, 24) datetime.time(20, 46)\n",
      " datetime.time(16, 10) datetime.time(0, 10) datetime.time(15, 30)\n",
      " datetime.time(6, 12) datetime.time(18, 45) datetime.time(16, 8)\n",
      " datetime.time(23, 27) datetime.time(19, 42) datetime.time(23, 37)\n",
      " datetime.time(21, 15) datetime.time(0, 5) datetime.time(21, 2)\n",
      " datetime.time(8, 22) datetime.time(5, 45) datetime.time(20, 21)\n",
      " datetime.time(4, 40) datetime.time(16, 45) datetime.time(11, 20)\n",
      " datetime.time(11, 50) datetime.time(20, 20) datetime.time(7, 10)\n",
      " datetime.time(9, 0) datetime.time(15, 24) datetime.time(12, 14)\n",
      " datetime.time(22, 45) datetime.time(19, 13) datetime.time(2, 30)\n",
      " datetime.time(5, 0) datetime.time(0, 39) datetime.time(23, 0)\n",
      " datetime.time(2, 58) datetime.time(23, 30) datetime.time(4, 41)\n",
      " datetime.time(12, 10) datetime.time(20, 56) datetime.time(22, 20)\n",
      " datetime.time(18, 20) datetime.time(20, 35) datetime.time(21, 10)\n",
      " datetime.time(15, 42) datetime.time(14, 14) datetime.time(16, 50)\n",
      " datetime.time(7, 21) datetime.time(7, 22) datetime.time(6, 16)\n",
      " datetime.time(8, 25) datetime.time(10, 40) datetime.time(17, 10)\n",
      " datetime.time(19, 0) datetime.time(8, 0) datetime.time(19, 52)\n",
      " datetime.time(8, 15) datetime.time(1, 41) datetime.time(16, 18)\n",
      " datetime.time(1, 0) datetime.time(3, 10) datetime.time(0, 40)\n",
      " datetime.time(13, 56) datetime.time(8, 27) datetime.time(15, 18)\n",
      " datetime.time(5, 12) datetime.time(20, 50) datetime.time(17, 5)\n",
      " datetime.time(5, 15) datetime.time(21, 57) datetime.time(9, 20)\n",
      " datetime.time(2, 15) datetime.time(1, 30) datetime.time(7, 50)\n",
      " datetime.time(18, 0) datetime.time(3, 0) datetime.time(9, 40)\n",
      " datetime.time(23, 15) datetime.time(6, 15) datetime.time(6, 30)\n",
      " datetime.time(18, 16) datetime.time(11, 8) datetime.time(3, 47)\n",
      " datetime.time(3, 40) datetime.time(20, 16) datetime.time(8, 30)\n",
      " datetime.time(23, 10) datetime.time(9, 24) datetime.time(7, 20)\n",
      " datetime.time(13, 29) datetime.time(10, 13) datetime.time(18, 10)\n",
      " datetime.time(2, 45) datetime.time(19, 50) datetime.time(14, 15)\n",
      " datetime.time(13, 20) datetime.time(23, 20) datetime.time(12, 50)\n",
      " datetime.time(22, 38) datetime.time(14, 50) datetime.time(23, 45)\n",
      " datetime.time(16, 26) datetime.time(10, 15) datetime.time(22, 40)\n",
      " datetime.time(0, 25) datetime.time(12, 49) datetime.time(10, 45)\n",
      " datetime.time(22, 30) datetime.time(12, 5) datetime.time(13, 0)\n",
      " datetime.time(22, 16) datetime.time(16, 48) datetime.time(8, 50)\n",
      " datetime.time(19, 45) datetime.time(7, 45) datetime.time(1, 10)\n",
      " datetime.time(4, 53) datetime.time(18, 23) datetime.time(9, 32)\n",
      " datetime.time(18, 52) datetime.time(22, 24) datetime.time(7, 2)\n",
      " datetime.time(15, 55) datetime.time(1, 5) datetime.time(19, 15)\n",
      " datetime.time(8, 43) datetime.time(11, 45) datetime.time(10, 30)\n",
      " datetime.time(23, 22) datetime.time(21, 45) datetime.time(6, 45)\n",
      " datetime.time(11, 15) datetime.time(12, 20) datetime.time(2, 0)\n",
      " datetime.time(9, 15) datetime.time(21, 25) datetime.time(9, 2)\n",
      " datetime.time(21, 30) datetime.time(4, 31) datetime.time(13, 15)\n",
      " datetime.time(22, 50) datetime.time(16, 40) datetime.time(10, 12)\n",
      " datetime.time(17, 50) datetime.time(5, 10) datetime.time(13, 30)\n",
      " datetime.time(4, 15) datetime.time(7, 15) datetime.time(15, 45)\n",
      " datetime.time(22, 15) datetime.time(18, 43) datetime.time(3, 15)\n",
      " datetime.time(6, 20) datetime.time(16, 15) datetime.time(6, 4)\n",
      " datetime.time(22, 22) datetime.time(15, 53) datetime.time(7, 25)\n",
      " datetime.time(21, 44) datetime.time(19, 20) datetime.time(16, 36)\n",
      " datetime.time(17, 56) datetime.time(10, 34) datetime.time(18, 47)\n",
      " datetime.time(8, 20) datetime.time(8, 41) datetime.time(5, 35)\n",
      " datetime.time(0, 59) datetime.time(10, 50) datetime.time(14, 25)\n",
      " datetime.time(0, 30) datetime.time(17, 51) datetime.time(8, 58)\n",
      " datetime.time(18, 12) datetime.time(22, 2) datetime.time(14, 20)\n",
      " datetime.time(22, 12) datetime.time(3, 5) datetime.time(12, 13)\n",
      " datetime.time(9, 18) datetime.time(14, 49) datetime.time(22, 35)\n",
      " datetime.time(13, 34) datetime.time(16, 32) datetime.time(3, 32)\n",
      " datetime.time(21, 12) datetime.time(12, 11) datetime.time(9, 14)\n",
      " datetime.time(4, 30) datetime.time(4, 1) datetime.time(8, 26)\n",
      " datetime.time(14, 7) datetime.time(20, 15) datetime.time(8, 5)\n",
      " datetime.time(5, 25) datetime.time(19, 58) datetime.time(12, 0)\n",
      " datetime.time(19, 34) datetime.time(14, 55) datetime.time(3, 16)\n",
      " datetime.time(6, 57) datetime.time(21, 1) datetime.time(8, 28)\n",
      " datetime.time(13, 10) datetime.time(7, 32) datetime.time(11, 11)\n",
      " datetime.time(19, 55) datetime.time(9, 8) datetime.time(14, 10)\n",
      " datetime.time(22, 46) datetime.time(12, 45) datetime.time(7, 27)\n",
      " datetime.time(17, 20) datetime.time(17, 16) datetime.time(18, 40)\n",
      " datetime.time(22, 18) datetime.time(18, 26) datetime.time(19, 33)\n",
      " datetime.time(4, 20) datetime.time(14, 30) datetime.time(4, 25)\n",
      " datetime.time(21, 40) datetime.time(12, 55) datetime.time(0, 37)\n",
      " datetime.time(11, 29) datetime.time(2, 14) datetime.time(18, 42)\n",
      " datetime.time(7, 58) datetime.time(6, 25) datetime.time(3, 20)\n",
      " datetime.time(19, 17) datetime.time(1, 45) datetime.time(0, 20)\n",
      " datetime.time(6, 50) datetime.time(6, 35) datetime.time(17, 19)\n",
      " datetime.time(15, 35) datetime.time(7, 40) datetime.time(5, 50)\n",
      " datetime.time(10, 20) datetime.time(9, 12) datetime.time(1, 4)\n",
      " datetime.time(20, 7) datetime.time(6, 10) datetime.time(0, 50)\n",
      " datetime.time(4, 10) datetime.time(3, 45) datetime.time(2, 35)\n",
      " datetime.time(18, 5) datetime.time(10, 29) datetime.time(11, 40)\n",
      " datetime.time(12, 9) datetime.time(17, 24) datetime.time(9, 58)\n",
      " datetime.time(5, 40) datetime.time(14, 44) datetime.time(23, 25)\n",
      " datetime.time(7, 16) datetime.time(9, 29) datetime.time(17, 15)\n",
      " datetime.time(16, 16) datetime.time(13, 35) datetime.time(4, 39)\n",
      " datetime.time(0, 35) datetime.time(10, 10) datetime.time(11, 22)\n",
      " datetime.time(15, 40) datetime.time(0, 43)]\n",
      "[4 1 7 0 5 18 19 15 11 22 16 9 23 6 10 17 12 8 20 21 14 3 2 13]\n",
      "0\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "# Revision final\n",
    "\n",
    "print(hechos['HORA'].unique())\n",
    "print(hechos['HH'].unique())\n",
    "\n",
    "print(hechos['HORA'].isnull().sum())\n",
    "print(hechos['HH'].isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LUGAR_DEL_HECHO, TIPO_DE_CALLE, Calle\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LUGAR_DEL_HECHO</th>\n",
       "      <th>TIPO_DE_CALLE</th>\n",
       "      <th>Calle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>PIEDRA BUENA AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AV GRAL PAZ  Y AV DE LOS CORRALES</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>PAZ, GRAL. AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AV ENTRE RIOS 2034</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>ENTRE RIOS AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AV LARRAZABAL Y GRAL VILLEGAS CONRADO</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>LARRAZABAL AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>SAN JUAN AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>AV. RIESTRA Y MOM</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>RIESTRA AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>AU DELLEPIANE Y LACARRA</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>DELLEPIANE, LUIS, TTE. GRAL.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>AV. GAONA Y TERRADA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>GAONA AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>AV. EVA PERON 4071</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>PERON, EVA AV.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>PADRE CARLOS MUJICA 709</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>PADRE CARLOS MUJICA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>692 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               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",
       "3        AV LARRAZABAL Y GRAL VILLEGAS CONRADO       AVENIDA   \n",
       "4    AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA        AVENIDA   \n",
       "..                                         ...           ...   \n",
       "691                          AV. RIESTRA Y MOM       AVENIDA   \n",
       "692                    AU DELLEPIANE Y LACARRA     AUTOPISTA   \n",
       "693                        AV. GAONA Y TERRADA       AVENIDA   \n",
       "694                         AV. EVA PERON 4071       AVENIDA   \n",
       "695                    PADRE CARLOS MUJICA 709         CALLE   \n",
       "\n",
       "                            Calle  \n",
       "0                PIEDRA BUENA AV.  \n",
       "1                  PAZ, GRAL. AV.  \n",
       "2                  ENTRE RIOS AV.  \n",
       "3                  LARRAZABAL AV.  \n",
       "4                    SAN JUAN AV.  \n",
       "..                            ...  \n",
       "691                   RIESTRA AV.  \n",
       "692  DELLEPIANE, LUIS, TTE. GRAL.  \n",
       "693                     GAONA AV.  \n",
       "694                PERON, EVA AV.  \n",
       "695           PADRE CARLOS MUJICA  \n",
       "\n",
       "[692 rows x 3 columns]"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos[['LUGAR_DEL_HECHO', \"TIPO_DE_CALLE\", \"Calle\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AV PIEDRA BUENA Y AV FERNANDEZ DE LA CRUZ'\n",
      " 'AV GRAL PAZ  Y AV DE LOS CORRALES' 'AV ENTRE RIOS 2034'\n",
      " 'AV LARRAZABAL Y GRAL VILLEGAS CONRADO'\n",
      " 'AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA '\n",
      " 'AV 27 DE FEBRERO Y AV ESCALADA' 'NOGOYA Y JOAQUIN V. GONZALES'\n",
      " 'AV GENERAL PAZ Y AV DE LOS CORRALES'\n",
      " 'AV BELGRANO Y BERNARDO DE IRIGOYEN' 'AV ENTRE RIOS 1366'\n",
      " 'AV SCALABRINI ORTIZ Y VERA'\n",
      " 'AV REGIMIENTO DE PATRICIOS Y QUINQUELA MARTIN BENITO'\n",
      " 'MARIANO ACOSTA Y ANA MARIA JANER'\n",
      " 'LISANDRO DE LA TORRE Y SEVERO GARCIA GRANDE DE ZEQUEIRA ' 'SUIPACHA 156'\n",
      " 'AV DIRECTORIO Y CURAPALIGUE' 'AV 9 DE JULIO Y ADOLFO ALSINA'\n",
      " 'AV GRAL PAZ Y AV 27 DE FEBRERO' 'HOLMBERG Y VEDIA'\n",
      " 'CURAPALIGUE Y AVELINO DIAZ' 'VIAMONTE Y AV 9 DE JULIO'\n",
      " 'AV CABILDO Y DEHEZA' 'AV GRAL PAZ Y AV CNEL ROCA'\n",
      " 'AV AMANCIO ALCORTA Y BONAVENA' 'AV CORRIENTES Y AV CALLAO'\n",
      " 'HERRERA Y ARISTOBULO DEL VALLE' 'AV. EVA PERON Y QUIRNO'\n",
      " 'AV GRAL PAZ COLECTORA Y ZUVIRIA' 'BARTOLOME MITRE Y AV PUEYRREDON'\n",
      " 'AV DIRECTORIO Y RIVERA INDARTE'\n",
      " 'DELLEPIANE LUIS TTE GRAL COLECTORA Y MURGUIONDO'\n",
      " 'AV JOSE MARIA MORENO Y BALBASTRO' 'AV GRAL PAZ Y AV DEL LIBERTADOR'\n",
      " 'LIMA 1483' 'AV. CORRIENTES Y AV. DORREGO'\n",
      " 'AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI KM. 0,700'\n",
      " 'TIMOTEO GORDILLO Y AV FERNANDEZ DE LA CRUZ' 'AUTOPISTA LUGONES PK 10000'\n",
      " 'AV TRIUNVIRATO Y AV OLAZABAL' 'AU LUIS DELLEPIANE Y AV GRAL PAZ'\n",
      " 'RAMON CASTILLA Y AV FIGUEROA ALCORTA' 'AV LUIS MARIA CAMPOS 30'\n",
      " 'LIMA 1471' 'PASAJE CIUDADELA Y LIMA OESTE'\n",
      " 'AV JUAN B JUSTO Y AV CARRASCO' 'AV GAONA Y ESPINOSA'\n",
      " 'AV LISANDRO DE LA TORRE Y SARAZA' 'AV FIGUEROA ALCORTA Y AV PUEYRREDON'\n",
      " 'AV ENTRE RIOS Y PASAJE FILIBERTO' 'MAGARIÑOS CERVANTES 3900'\n",
      " 'AV GRAL PAZ Y RODOLFO SCAPINO'\n",
      " 'AUTOPISTA DELLEPIANE LUIS TTE GRAL Y MIRALLA'\n",
      " 'AV SAN MARTIN Y CAMARONES' 'TTEG JUAN D PERON Y AVDA LEANDRO N ALEM'\n",
      " 'AV BELGRANO Y AV JUJUY' 'AV DEL LIBERTADOR Y AV GUILLERMO UDAONDO'\n",
      " 'AV GRAL PAZ Y AV RIVADAVIA' 'AV CRISOLOGO LARRALDE Y MACHAIN'\n",
      " 'AV LA PLATA 2384' 'AV JUAN B ALBERDI Y PUAN'\n",
      " 'CARLOS PELLEGRINI Y TUCUMAN'\n",
      " 'AVDA ITE FRANCISCO RABANAL & AVDA EREZCANO' 'AV OLIVERA Y RAMON FALCON'\n",
      " 'AUTOPISTA 1 SUR PTE ARTURO FRONDIZI Y AV CASEROS' 'CERETTI Y NUÑEZ'\n",
      " 'AV LUGONES Y LA PAMPA' 'JERONIMO SALGUERO Y AV RIVADAVIA'\n",
      " 'AV GRAL PAZ Y AV LIBERTADOR ' 'AV JUAN B ALBERDI Y EMILIO MITRE'\n",
      " 'MERCEDES Y AV GRAL MOSCONI'\n",
      " 'AUTOPISTA DELLEPIANE LUIS TTE. GRAL. KM. 2,3' 'SOLIS Y MEXICO'\n",
      " 'AV SAN JUAN Y ALBERTI' 'AV GRAL MOSCONI Y AV GRAL PAZ'\n",
      " 'AV GRAL PAZ  Y DONADO' 'AV GRAL PAZ Y JORGE CHAVEZ'\n",
      " 'AV EVA PERON Y JOSE LEON SUAREZ' 'ZINNY Y AV SANTIAGO DE COMPOSTELA'\n",
      " 'AV FEDERICO LACROZE Y FRAGA' 'CARLOS PELLEGRINI Y AV DEL LIBERTADOR'\n",
      " 'AUTOPISTA 9 DE JULIO SUR ALT AV MENDOZA'\n",
      " 'AUTOPISTA PERITO MORENO Y BARRAGAN' 'AV ALBERDI Y CARHUE'\n",
      " 'AUTOPISTA LEOPOLDO LUGONES Y LA PAMPA'\n",
      " 'AUTOPISTA 25 DE MAYO AUTOPISTA 1 SUR ARTURO FRONDIZI'\n",
      " 'AV JUAN BAUTISTA ALBERDI Y GUARDIA NACIONAL' 'SALGUERO 1410'\n",
      " 'ARIAS Y TRONADOR' 'AV DEL LIBERTADOR Y TAGLE'\n",
      " 'AUTOPISTA 1 SUR PTE ARTURO FRONDIZI KM 2.9'\n",
      " 'CRISOLOGO LARRALDE Y AVDA TRIUNVIRATO' 'AV EVA PERON 4233'\n",
      " 'AV ASAMBLEA Y AV CNEL ESTEBAN BONORINO'\n",
      " 'AVDA RIVADAVIA Y RIVERA INDARTE'\n",
      " 'AUTOPISTA PERITO MORENO Y AV JUAN B ALBERDI' 'IRIGOYEN Y TINOGASTA'\n",
      " 'AV MARIANO ACOSTA Y AV CNEL ROCA' 'CASTRO Y AV PAVON'\n",
      " 'AUTOPISTA 9 DE JULIO SUR Y AV BRASIL' 'MIRAVE 3500'\n",
      " 'AV SAN JUAN Y 24 DE NOVIEMBRE' 'AV LAS HERAS Y SANCHEZ DE BUSTAMANTE'\n",
      " 'AV PIEDRA BUENA Y 2 DE ABRIL 1982' 'AV FIGUEROA ALCORTA  Y PINEDO'\n",
      " 'AU BUENOS AIRES - LA PLATA KM. 4' 'AV SAN MARTIN Y LADINES'\n",
      " 'AV CABILDO Y BLANCO ENCALADA'\n",
      " 'AV PRESIDENTE FIGUEROA ALCORTA Y AV DORREGO'\n",
      " 'AV JURAMENTO Y VUELTA DE OBLIGADO' 'AV DEL LIBERTADOR Y AV RAMOS MEJIA'\n",
      " 'AV. ALTE. BROWN 984' 'AV DEL LIBERTADOR Y LA PAMPA'\n",
      " 'PICHINCHA Y AV BRASIL' 'AV INDEPENDENCIA Y VIRREY CEVALLOS'\n",
      " 'AV GARMENDIA 4895' 'AV AMANCIO ALCORTA Y DIOGENES TABORDA' 'SD'\n",
      " 'AV PERITO MORENO Y ZUVIRIA' 'ARAOZ Y AV CORDOBA' 'AV GRAL PAZ 15200'\n",
      " 'MADERO 900' 'AV INDEPENDENCIA Y DEAN FUNES' 'AV JUAN B JUSTO 5645'\n",
      " 'AUTOPISTA PERITO MORENO ALTURA VELZ' 'AV SANTA FE Y GODOY CRUZ'\n",
      " 'AV FEDERICO LACROZE Y AV FOREST' 'AV GRAL PAZ Y AV GENERAL MOSCONI'\n",
      " 'AV LA PLATA Y CNEL GREGORIO POMAR' 'AV MARTIN GARCIA 300'\n",
      " 'NUÑEZ Y AV RICARDO BALBIN' 'AV GRAL PAZ 4500'\n",
      " 'AU BUENOS AIRES - LA PLATA Y AU 25 DE MAYO' 'AV GARAY Y CASTRO'\n",
      " 'AV DIRECTORIO Y AV SAN PEDRITO' 'AUTOPISTA 25 DE MAYO'\n",
      " 'CNEL RAMON L FALCON Y MEMBRILLAR' 'AV BELGRANO Y AV PASEO COLON'\n",
      " 'ARENALES 3319' 'REPUBLICA BOLIVARIANA DE VENEZUELA Y SAAVEDRA'\n",
      " 'AV. JUAN B JUSTO Y ACHUPALLAS' 'OLAVARRIA Y AV. VELEZ SARSFIELD'\n",
      " 'LIMA Y MEXICO' 'JOSE A CABRERA Y BONPLAND' 'AU 25 DE MAYO Y AV. BOEDO'\n",
      " 'AV. DIRECTORIO Y RIGLOS' 'AV. GRAL. PAZ Y AV. R. BALBIN'\n",
      " 'TRAFUL Y DIOGENES TABORDA' 'IRIARTE 3055' 'AV. DONADO Y ARIAS'\n",
      " 'CORDOBA AV. Y CALLAO'\n",
      " 'AU 25 DE MAYO, KILOMETRO 8.3, SENTIDO HACIA PROVINCIA DE BUENOS AIRES, C.A.B.A.'\n",
      " 'AV. JUAN B JUSTO Y PARAGUAY' 'AV. GRAL. PAZ Y AV. DE LOS CORRALES'\n",
      " 'SARMIENTO Y LIBERTAD' 'AV. RIVADAVIA 7121'\n",
      " 'AV. FERNANDEZ DE LA CRUZ Y RIVERA INDARTE'\n",
      " 'AV. PERITO MORENO Y FOURNIER' 'AV. CASEROS 1429'\n",
      " 'AV. GAONA Y FRAGATA SARMIENTO' 'MOZART Y TANDIL'\n",
      " 'MOZART Y COLECTORA AV. TTE. LUIS J DELLEPIANE'\n",
      " '24 DE NOVIEMBRE Y PAVON ' 'AV. GRAL. PAZ Y PEDRO DE MENDOZA'\n",
      " 'AV. GRAL. PAZ KM. 10' 'GODOY CRUZ 2651'\n",
      " 'AV. DR. TRISTAN ACHAVAL RODRIGUEZ Y BLVD. AZUCENA VILLAFLOR'\n",
      " 'CURUPAYTI Y COLECTORA AV. GRAL. PAZ'\n",
      " 'AV. INDEPENDENCIA Y VIRREY CEVALLOS' 'AV. CASTAÑARES Y LAUTARO'\n",
      " 'CAMINO CIUDAD UNUVERSITARIA Y AV. TTE. GUIRALDES'\n",
      " 'BALDOMERO FERNANDEZ MORENO 2186' 'AV. LEOPOLDO LUGONES PKM 6900'\n",
      " 'NOGOYA 5940' 'AV. ARGENTINA Y AV. CORVALAN'\n",
      " 'AV. FERNANDEZ DE LA CRUZ Y VARELA'\n",
      " 'AU PERITO MORENO Y RAMAL ENLACE AU1/AU6' 'AU DELLEPIANE 2400'\n",
      " 'AV. GRAL. PAZ Y GOLETA JULIA' 'VIEYTES Y VILLARINO'\n",
      " 'AV. DE LOS CONSTITUYENTES Y PEDRO MORAN'\n",
      " 'AV. DE LOS CONSTITUYENTES 4900' 'AV. CORDOBA Y LIBERTAD' 'BRASIL Y LIMA'\n",
      " 'AV. ESCALADA Y AV. FERNANDEZ DE LA CRUZ' 'PARAGUAY Y AV. CALLAO '\n",
      " 'AV. JUAN B JUSTO Y SAN BLAS' 'CHILE Y AV. 9 DE JULIO' 'MAIPU Y PERON'\n",
      " 'AV. SUAREZ Y HERRERA' 'AV. SAN MARTIN Y FRAGATA SARMIENTO'\n",
      " 'AV. DIRECTORIO Y AV. JOSE MARIA MORENO'\n",
      " 'AV. TTE. FRANCISCO RABANAL 2950' 'AV. GRAL. PAZ Y ULRICO SCHMIDL'\n",
      " 'NUEVA YORK  3696' 'AV. DE LOS CONSTITUYENTES Y VALLEJOS'\n",
      " 'AV. CORRIENTES Y ECUADOR' 'CASCO 133' 'AV. DE MAYO Y AV. 9 DE JULIO'\n",
      " 'AV. RAMON CASTILLO Y CALLE 12' 'FRAY JUSTO SANTAMARIA DE ORO 1930'\n",
      " 'MEXICO Y DEAN FUNES' 'AV. JUAN B ALBERDI Y AV. ESCALADA'\n",
      " 'AV. ENTRE RIOS Y AV. BRASIL' 'AV. JUAN B ALBERDI Y GUARDIA NACIONAL'\n",
      " 'AV. DEL LIBERTADOR Y RODRIGUEZ PEÑA' 'TACUARI Y AV. MARTIN GARCIA'\n",
      " 'AV. RIVADAVIA Y MURGUIONDO' '24 DE NOVIEMBRE 390'\n",
      " 'AV. PASEO COLON Y BRASIL' 'MARTINIANO LEGUIZAMON 901'\n",
      " 'AV. CHIVILCOY Y COLECTORA AV. GRAL. PAZ ' 'SUPERI Y AV. GRAL. PAZ'\n",
      " 'AU 25 DE MAYO Y AU FRONDIZI (9 DE JULIO SUR)'\n",
      " 'AV. LEOPOLDO LUGONES KM 7,5, ALTURA PUENTE SCALABRINI ORTIZ, SENTIDO A CENTRO PORTEÑO'\n",
      " 'VICTOR HUGO 2639' 'AV. CORDOBA Y JERONIMO SALGUERO'\n",
      " 'AV. CABILDO Y NUÑEZ' 'JOSE BONIFACIO 2114'\n",
      " 'AV. PTE FIGUEROA ALCORTA 5400' 'VENEZUELA 2135'\n",
      " 'AV. FCO. LACROZE Y ZAPATA' 'IRIARTE Y ZAVALETA'\n",
      " 'AV. 9 DE JULIO Y ESTADOS UNIDOS' 'FRAY JUSTO SANTAMARIA DE ORO Y GUEMES'\n",
      " 'AV. DEL LIBERTADOR Y JARAMILLO' 'AV. GRAL. PAZ Y MACHAIN'\n",
      " 'AV. DIRECTORIO Y PORTELA' 'LAVALLE Y AV. LEANDRO N ALEM'\n",
      " 'USPALLATA Y PIROVANO' 'AU 25 DE MAYO Y AV. VARELA'\n",
      " 'AV. SANTA FE Y MAIPU' 'AV. ALVEAR Y AV. DEL LIBERTADOR'\n",
      " 'AV. PAVON Y TREINTA Y TRES ORIENTALES' 'COLECTORA AV. GRAL. PAZ 5750'\n",
      " 'VIEYTES Y CRUZ' 'AU DELLEPIANE Y AV. ESCALADA'\n",
      " 'ALBARIÑO Y AV. ARGENTINA' 'JUAN RAMIREZ DE VELAZCO 1211'\n",
      " 'AV. FERNANDEZ DE LA CRUZ Y LARRAYA' 'AV. RIESTRA Y CAÑADA DE GOMEZ'\n",
      " 'GALLO Y AV. CORDOBA' 'DR. JUAN F. ARANGUREN 611'\n",
      " 'AU PERITO MORENO Y AU 25 DE MAYO' 'CHORROARIN Y AV. SAN MARTIN'\n",
      " 'COSQUIN Y AV. CNEL. ROCA' 'AV. CNEL. ROCA 3555'\n",
      " 'AV. WARNES Y PUNTA ARENAS' 'DEL BARCO CENTENERA Y RABANAL'\n",
      " 'AV. GRAL. ENRIQUE MOSCONI Y SAN NICOLAS' 'AV. LAFUENTE Y AV. EVA PERON'\n",
      " 'AV. CNEL. ROCA Y AV. ESCALADA' 'AU ARTURO FRONDIZI PKM 3100'\n",
      " 'AV. LA PLATA Y AV. PEDRO GOYENA' 'TRELLES Y GRAL. CESAR DIAZ'\n",
      " 'AV. CNEL. ROCA Y COLECTORA AV. GRAL. PAZ' 'MAZA Y DON BOSCO'\n",
      " 'AV. GRAL. PAZ Y AV. EVA PERON' 'AV. SAN JUAN Y LA RIOJA'\n",
      " 'AV. PASEO COLON Y MEXICO' 'AV. RIVADAVIA Y MIRALLA' 'VIEYTES Y LUJAN'\n",
      " 'CACHI Y TRAFUL' 'ROSARIO Y AV. LA PLATA' 'AV. ENTRE RIOS Y AV. CASEROS '\n",
      " 'AV. RIVADAVIA 6350' 'AV. GRAL. PAZ Y HUMAITA'\n",
      " 'GUALEGUAYCHU Y COLECTORA AV. GRAL PAZ' 'AV. NAZCA 365'\n",
      " 'AV. EVA PERON 5249' 'San Juan Av. Y Rincón' 'Peru 937'\n",
      " 'Pueyrredon, Honorio, Dr. Av. y Galicia'\n",
      " 'Del Libertador Av. y Manzanares' 'Paseo Colon Av. 1019'\n",
      " 'Valle y Barco Centenera Del' 'AU Perito Moreno  KM 0.6'\n",
      " 'Huergo, Ing. Av. e Independencia Av.' 'Pilcomayo y Brown, Alte. Av.'\n",
      " 'Cervantes y Belaustegui, Luis, Dr.' 'Callao y Vte. Lopez'\n",
      " 'Oliden y Chilavert, Martiniano, Coronel' 'Congreso Av. y Galvan'\n",
      " 'Moreno, Perito Av. y Rivera Indarte' 'Australia Av. 2800'\n",
      " 'Del Libertador Av. y Ramos Mejia, Jose Maria, Dr. Av.'\n",
      " 'San Pedrito Av. y Rivadavia Av.'\n",
      " 'Isabel La Catolica y Salvadores, Cnel.'\n",
      " 'Las Heras General Av. y Callao Av.'\n",
      " 'Fernandez de la Cruz Subida AU Héctor J. Cámpora'\n",
      " 'AMANCIO ALCORTA Y ZAVALETA' 'Montes De Oca, Manuel y Olavarria'\n",
      " 'Barco Centenera Del y Rosario' 'Alvarez Thomas Av. y Donado'\n",
      " 'Av. Avellaneda y Av. Boyacá'\n",
      " 'Rabanal, Francisco, Intendente Av. y Saenz Av.' 'Castro y Rondeau'\n",
      " 'Bilbao, Francisco Av. y Azul' 'Nazca Av. y Gaona Av.'\n",
      " 'Plaza y Alvarez Thomas Av.' 'Gaona Av. y Artigas, Jose Gervasio, Gral.'\n",
      " 'Cabildo Av. y Aguilar' 'Camarones y Lope De Vega Av.'\n",
      " 'Santa Fe Av. 2320' 'Av. Rivadavia 6950' 'Av. San Martín y Argerich'\n",
      " 'Cordoba Av. y Uriburu Jose E., Pres.' 'AV. RIVADAVIA 1571'\n",
      " 'AUTOPISTA LUGONES KM 4.7' 'Ramon Freire y Virrey Olaguer y Feliu'\n",
      " 'La Plata Av. y Fernandez De La Cruz, F., Gral. Av.'\n",
      " 'BRANDSEN y PERDRIEL' 'Vilardebo, Teodoro y Alvarez Jonte Av.'\n",
      " 'Alberti e Independencia Av.' 'Alvarez Thomas Av. 879'\n",
      " 'Av. Gral. Paz y Av. Rivadavia' 'Av. Corrientes y Av. Dorrego'\n",
      " 'Rivadavia Av. y Pedernera' 'Quesada 2300' 'Cabildo Av. y Juramento Av.'\n",
      " 'California y Carbonari, Francisco, Cmte.'\n",
      " 'Carril, Salvador Maria Del Av. y Nazca' 'San Luis y Aguero'\n",
      " 'Lugones 2430' 'Independencia Av. y Jujuy Av.' 'Av. Rivadavia 11050'\n",
      " 'Combate De Los Pozos y Humberto 1°' 'Cordoba Av. y Thames'\n",
      " 'Garay, Juan De Av. y Sanchez De Loria' 'Lavalle y Alem, Leandro N. Av.'\n",
      " 'Estados Unidos y Pichincha' 'Rosario y Barco Centenera Del'\n",
      " 'Av. Leandro N. Alem y Viamonte' 'Varela Av. y Primera Junta'\n",
      " 'Pellegrini, Carlos y Juncal' 'Av. Corrientes y Av. Federico Lacroze'\n",
      " 'Montes De Oca, Manuel y Finochietto Enrique Dr.'\n",
      " 'Carabobo Av. y Alberdi, Juan Bautista Av.' 'Córdoba Av. 2215\\n\\n'\n",
      " 'Estados Unidos y Urquiza, Gral.' 'Moreno y Av. Huergo'\n",
      " 'AU Dellepiane kilometro 0.0, altura calle Montiel, sentido hacia el Centro Porteño'\n",
      " 'Iriarte, Gral. Av. 3400' 'AV. JUAN B. ALBERDI 2968'\n",
      " 'Del Libertador Av. y Ortiz De Ocampo' 'Chavez, Jorge y Paz, Gral. Av.'\n",
      " 'Urquiza, Gral. y Estados Unidos' 'Paraguay y Sánchez De Bustamante'\n",
      " 'De Los Corrales Av. y Paz, Gral. Av.'\n",
      " 'Alberdi, Juan Bautista Av. y Carhue'\n",
      " 'Castañares Av. y Rivera Indarte Av.'\n",
      " 'Larrazabal y Garzon, Eugenio, Gral. Av.'\n",
      " 'Paz, Gral. Av. y Fernandez De La Cruz, F., Gral. Av.'\n",
      " 'Av. Alicia Moreau de Justo y Cochabamba'\n",
      " 'Entre Rios Av. y Garay, Juan De Av.' 'Directorio Av. y Guardia Nacional'\n",
      " 'Pavon Av. Y Colombres' 'Av. Gral. Paz y Av. Dr. Ricardo Balbín'\n",
      " 'Pichincha Av. y Brasil' '27 De Febrero Av. y Pergamino'\n",
      " 'AU Perito Moreno KM 1.8 ALTURA BARRAGAN SENTIDO PBA'\n",
      " 'Cordoba Av. y Gascon' '15 De Noviembre De 1889 1513'\n",
      " 'Salguero, Jeronimo y Beruti'\n",
      " 'Lacarra Av. y Dellepiane, Luis, Tte. Gral.'\n",
      " 'AU Héctor J. Cámpora y Roca, Cnel. Av.'\n",
      " 'Av. Varela y Av. Int. Francisco Rabanal'\n",
      " 'Av. Gral. Paz e/ Ferre y Beron de Astrada'\n",
      " 'Elvira Rawson de Dellepiane 150' 'Paz, Gral. Av. y Zapiola'\n",
      " 'FAMATINA Y DIOGENES TABORDA' 'Av. Castañares y Bonorino'\n",
      " 'AU Frondizi 9 de Julio Sur y Av. Suarez' 'Nazca Av. y Rivadavia Av.'\n",
      " 'Figueroa Alcorta, Pres. Av. y Echeverria' 'Rivadavia Av. y Jujuy Av.'\n",
      " 'De Los Italianos Av. y Guemes, Macacha' 'Tucuman y Alem, Leandro N. Av.'\n",
      " 'Corrientes Av. y Gallardo, Angel Av.'\n",
      " 'AU Perito Moreno y Av. Eva Perón SENTIDO CENTRO' 'Muñecas y Serrano'\n",
      " 'Artigas, Jose Gervasio, Gral. y Tres Arroyos'\n",
      " 'Solis e Independencia Av.' 'Bosch, Ventura y Paz, Gral. Av.'\n",
      " 'Paz, Gral. Av. 14800' 'Av. Eva Perón 5321'\n",
      " 'Peron, Juan Domingo, Tte. General y Pueyrredon Av.'\n",
      " 'Rabanal y San Pedrito' 'Monroe y Alvarez Thomas Av.'\n",
      " 'Rivadavia Av. y Manzoni' 'AU Dellepiane Luis Tte. Gral. y Larrazabal'\n",
      " 'Paz, Gral. Av. y Peron, Eva Av.'\n",
      " 'AU Perito Moreno y Reservistas Argentinos' 'Saenz Av. y Ventana'\n",
      " 'Avda. General Paz y Cnel. Ramón Falcón'\n",
      " 'Av. Gral. Paz y Av. de los Constituyentes' 'Paz, Gral. Av. 11200'\n",
      " 'Newbery, Jorge Av. y Guevara' 'Gaona Av. y Segurola Av.'\n",
      " 'Madero, Eduardo Av. 550' 'AU Arturo Illia y Castillo, Ramon S.'\n",
      " 'La Plata Av. y Caseros Av.' 'Belgrano Av. y Peru' 'Rivadavia Av. 7013'\n",
      " 'Adolfo Alsina y Santiago del Estero' 'Bermudez 1893' 'Santander 1974'\n",
      " 'Julieta Lanteri 1400' 'Maza y Av. Independencia' 'PAZ, GRAL. AV. 5172'\n",
      " 'Olivera Av. y Alberdi, Juan Bautista Av.'\n",
      " 'CASTILLO, RAMON S., PRES. AV. Y CALLE 12'\n",
      " 'CASTAÑARES AV. Y MORENO, PERITO AV.' 'SAN MARTIN AV. Y TERRADA'\n",
      " 'PERON, EVA AV. Y MEDINA' 'JUSTO, JUAN B. AV. Y ALVAREZ JONTE AV.'\n",
      " 'OBLIGADO RAFAEL, AV. COSTANERA 4650' 'MITRE, BARTOLOME Y YATAY'\n",
      " 'PAZ, GRAL. AV. 16080' 'CHACABUCO Y SAN JUAN AV.'\n",
      " 'DEL LIBERTADOR AV. 4100' 'PAZ, GRAL. AV. Y ALBERDI, JUAN BAUTISTA AV.'\n",
      " 'CASTAÑARES AV. Y GORDILLO, TIMOTEO' 'SALVIGNY Y MOM'\n",
      " 'LAMARCA, EMILIO 5402' 'SAN MARTIN AV. 5638'\n",
      " 'CARRILLO, RAMON, DR. Y FINOCHIETTO ENRIQUE DR.' 'MEXICO Y PICHINCHA'\n",
      " 'CANTILO, INT. Y UDAONDO, GUILLERMO AV.' 'DEL LIBERTADOR AV. 6326'\n",
      " 'CHICLANA AV. 3444' 'BOYACA AV. Y YERBAL'\n",
      " 'PAZ, GRAL. AV. Y JACQUES, AMADEO'\n",
      " 'MITRE, BARTOLOME Y SANCHEZ DE BUSTAMANTE'\n",
      " 'FERNANDEZ DE LA CRUZ, F. , GRAL. AV. Y LARRAZABAL'\n",
      " 'SANTA FE AV. Y AZCUENAGA' 'JUSTO, JUAN B. AV. y OROÑO, NICASIO'\n",
      " 'FERNANDEZ DE LA CRUZ, F. , GRAL. AV. Y LACARRA AV.'\n",
      " 'ALVAREZ, DONATO, TTE. GRAL. Y YERBAL'\n",
      " 'CORDOBA AV. Y MADERO, EDUARDO AV.'\n",
      " 'CAMARONES Y ALVAREZ, DONATO, TTE. GRAL. AV.'\n",
      " 'AUTOPISTA 25 DE MAYO Y HUERGO, ING. AV.' 'MORENO, PERITO AV. 3050'\n",
      " 'SUIPACHA 665' 'RIGLOS Y FORMOSA' 'LA RIOJA E INDEPENDENCIA AV.'\n",
      " 'UDAONDO, GUILLERMO AV. Y FIGUEROA ALCORTA, PRES. AV.'\n",
      " 'SAN PEDRITO AV. Y DIRECTORIO AV.' 'PUAN Y SANTANDER'\n",
      " 'ALBERDI, JUAN BAUTISTA AV. Y ANDALGALA' 'LIMA Y CONSTITUCION'\n",
      " 'BOEDO AV. 650' 'DEL LIBERTADOR AV. Y REPUBLICA DE LA INDIA'\n",
      " 'GRAL PAZ Y CABILDO' 'CASEROS AV. 1700' 'AVELLANEDA AV. 1548'\n",
      " 'CIUDAD DE LA PAZ Y MENDOZA' 'SALGUERO, JERONIMO Y HONDURAS AV.'\n",
      " 'FILIBERTO, JUAN DE DIOS Y OLAVARRIA' 'ASTURIAS AV. Y CASTAÑARES AV.'\n",
      " 'GANDARA 2976' 'GUEVARA, TRINIDAD Y MADERO, EDUARDO AV.' 'BOYACA AV. 305'\n",
      " 'ARTILLEROS Y LA PAMPA'\n",
      " 'AUTOPISTA PERITO MORENO ALTURA PASO A NIVEL DE IRIGOYEN'\n",
      " '15 DE NOVIEMBRE DE 1889 Y SANTIAGO DEL ESTERO'\n",
      " 'ACOSTA, MARIANO AV. Y FALCON, RAMON L., CNEL.'\n",
      " '11 DE SEPTIEMBRE DE 1888 Y MENDOZA'\n",
      " 'PINO, VIRREY DEL Y CAMPOS, LUIS M. AV.' 'FOREST AV. Y MAURE'\n",
      " 'BOYACA AV. Y AVELLANEDA AV,' 'BARCO CENTENERA DEL Y TILCARA'\n",
      " 'RIESTRA AV. Y BOLIVAR' 'CASTRO, EMILIO 4706' '27 DE FEBRERO AV. 5600'\n",
      " 'GARAY, JUAN DE AV. 2874' 'SCALABRINI ORTIZ, RAUL AV. y GORRITI'\n",
      " 'PRIMERA JUNTA Y OLIVERA AV.' 'ALBERDI, JUAN BAUTISTA AV. Y AZUL'\n",
      " 'ALVAREZ THOMAS AV. 1788' 'LUGONES, LEOPOLDO AV. Y PAZ, GRAL. AV.'\n",
      " 'SAN ANTONIO Y LUJAN'\n",
      " 'AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI ALTURA DON PEDRO DE MENDOZA AV.'\n",
      " 'FIGUEROA ALCORTA, PRES. AV. Y TAGLE'\n",
      " 'EINSTEIN, ALBERTO Y ALCORTA, AMANCIO AV.' 'AGRELO Y COLOMBRES'\n",
      " 'ELCANO AV. 4300' 'RABANAL, FRANCISCO, INTENDENTE AV. 2428'\n",
      " 'MONTE Y CORVALAN' 'TANDIL Y LA FUENTE' 'CARDOSO Y BACACAY'\n",
      " 'CORRIENTES AV. 6700' 'ALVAREZ THOMAS AV. Y MENDOZA'\n",
      " 'ALCORTA, AMANCIO AV. Y BONAVENA, OSCAR NATALIO'\n",
      " 'BROWN, ALTE. AV. Y BLANES, JUAN MANUEL'\n",
      " 'ALBERDI, JUAN BAUTISTA AV. 5455' 'JUSTO, JUAN B. AV. Y CAMARGO'\n",
      " 'BRIN, MINISTRO Y SUAREZ' 'NIZA Y JUSTO, JUAN B. AV.' 'CAMARGO Y SERRANO'\n",
      " 'AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI ALTURA CASEROS AV.'\n",
      " 'CASEROS AV. Y PIEDRAS' 'AUTOPISTA PERITO MORENO KM 5,6' 'GUZMAN 365'\n",
      " 'de los constituyentes av. 4300' 'MORENO, PERITO AV. Y TILCARA AV.'\n",
      " 'IBARROLA Y GORDILLO, TIMOTEO' 'RIVADAVIA AV. Y PERGAMINO'\n",
      " 'SANTO TOME Y SEGUROLA AV.' 'URIARTE Y LOYOLA' 'SARAZA Y VARELA AV.'\n",
      " 'RIVADAVIA AV. Y COMBATE DE LOS POZOS' 'RODRIGUEZ PEÑA Y RIVADAVIA AV.'\n",
      " '24 DE NOVIEMBRE Y SAN JUAN AV.' 'LAFUENTE AV. 2250' 'CHILE Y LIMA '\n",
      " 'CORDOBA AV. Y JEAN JAURES'\n",
      " 'PERON, JUAN DOMINGO, TTE. GENERAL Y SALGUERO, JERONIMO'\n",
      " '9 DE JULIO AV. Y SAN JUAN AV.' 'COLOMBRES 466' 'MEXICO 2860'\n",
      " 'COMBATIENTES DE MALVINAS AV. Y TRIUNVITARO AV.' 'BERMUDEZ Y NOGOYA'\n",
      " 'BRASIL AV. Y PASEO COLON AV.' 'ALEM,LEANDRO N. AV. 770'\n",
      " 'BELGRANO AV. Y RINCON' 'UDAONDO, GUILLERMO AV. 901'\n",
      " 'CONSTITUCION Y CASTRO' 'PUEYRREDON AV. Y GOMEZ, VALENTIN'\n",
      " 'BRAVO, MARIO 1279' 'DELLEPIANE, LUIS, TTE. GRAL. Y ESCALADA AV.'\n",
      " 'ARAOZ DE LAMADRID, GREGORIO, GRAL. Y BROWN, ALTE. AV.' 'MURGUIONDO 1339'\n",
      " 'RIVADAVIA AV. 2551' 'LUGONES, LEOPOLDO AV. KM 6,1'\n",
      " 'DELLEPIANE, LUIS, TTE. GRAL. Y MONTIEL'\n",
      " 'SCALABRINI ORTIZ, RAUL AV. Y WARNES AV.'\n",
      " 'PAZ, GRAL. AV. y ROFFO, ANGEL H., DR.' 'SAN MARTIN AV. 1550'\n",
      " 'GARZON, EUGENIO, GRAL. AV. y LARRAYA' 'CORRIENTES AV. Y SERRANO'\n",
      " 'PAZ, GRAL. AV. Y DEL LIBERTADOR AV.'\n",
      " 'MITRE, BARTOLOME Y ANCHORENA, TOMAS MANUEL DE, DR.'\n",
      " 'AU 25 DE MAYO ALTURA PUMACAHUA Y RECUERO, CASIMIRO, TTE. CNEL.'\n",
      " 'SCALABRINI ORTIZ, RAUL AV. Y PARAGUAY'\n",
      " 'FERNANDEZ DE LA CRUZ, F., GRAL. AV. Y VARELA AV.'\n",
      " 'LAS HERAS GENERAL AV. Y DIAZ, CNEL. AV.' 'MURGUIONDO 2700'\n",
      " 'CURAPALIGUE Y PERON, EVA AV.' 'DIAZ, ANA Y SOLDADO DE LA FRONTERA AV.'\n",
      " 'ALEM, LEANDRO N. AV. Y PARAGUAY' 'LA PLATA AV. E INDEPENDENCIA'\n",
      " 'PAZ, GRAL. AV. Y 27 DE FEBRERO AV.' 'NAZCA AV. Y CARRANZA, ADOLFO P.'\n",
      " 'AUTOPISTA CAMPORA ALTURA LACARRA AV.' 'DORREGO AV. 614'\n",
      " 'DEL LIBERTADOR AV. Y RAMOS MEJIA, JOSE MARIA, DR. AV.'\n",
      " 'SANTA FE AV. Y GODOY CRUZ' 'AVELLANEDA AV. Y MERCEDES'\n",
      " 'TUCUMAN Y PUEYRREDON AV.' 'ALCORTA, AMANCIO AV. Y EINSTEIN, ALBERTO'\n",
      " 'INCLAN Y ALBERTI' 'OLAZABAL AV. 5437'\n",
      " 'PAZ, GRAL. AV. Y DOCTOR RAMON CARRILLO' 'NAZCA AV. Y VIALE, LUIS'\n",
      " 'OLIVERA AV. Y FALCON, RAMON L., CNEL.' 'BRASIL 1100'\n",
      " 'HOMERO Y PERON, EVA AV.' 'MORENO 1845' 'NUEVA YORK Y ALTA GRACIA'\n",
      " 'PAZ, GRAL. AV. Y GOYENECHE, ROBERTO PARQUE AV.'\n",
      " 'AUTOPISTA PERITO MORENO ALTURA ESTACION DE TREN VILLA LURO'\n",
      " 'SAENZ AV. Y BEAZLEY' 'DEL LIBERTADOR AV. Y AUSTRIA'\n",
      " 'INDEPENDENCIA AV. Y SAENZ PEÑA, LUIS, PRES.'\n",
      " 'CALLAO AV. Y LAS HERAS, GENERAL' 'JUJUY AV. Y CARLOS, CALVO'\n",
      " '27 DE FEBRERO AV. Y ESCALADA AV.' 'BOGOTA Y NAZCA AV.'\n",
      " 'CORRIENTES AV. Y 9 DE JULIO AV.' 'ALVAREZ JONTE AV. Y CHIVILCOY'\n",
      " 'SAN MARTIN AV. Y PUNTA ARENAS' 'BARCO CENTENERA DEL 1118'\n",
      " 'PAZ, GRAL. AV. Y ACCESO NORTE - PANAMERICANA' 'AU FRONDIZI KM. 3'\n",
      " 'CASTRO, EMILIO AV. Y MURGUIONDO' 'AU 25 DE MAYO KM. 3,7'\n",
      " 'CASEROS AV. Y GUARANI' 'PERON, EVA AV. 3800' 'AU ILLIA y SARMIENTO AV.'\n",
      " 'DE LOS CONSTITUYENTES AV. Y GIRIBONE'\n",
      " 'SAENZ AV. Y RABANAL, FRANCISCO, INTENDENTE AV.' 'PAYSANDU Y GAONA'\n",
      " 'PAZ, GRAL. AV. Y BALBIN, RICARDO, DR. AV. ' 'SANTA FE AV. 1675'\n",
      " 'AU DELLEPIANE Y GUAMINI' 'FALCON, RAMON L., CNEL. Y OLIVERA AV.'\n",
      " 'SAN MARTIN AV. Y NOGOYA' 'SAN MARTIN AV. Y TINOGASTA'\n",
      " 'FERNANDEZ DE LA CRUZ, F., GRAL. AV. Y DE LA TORRE, LISANDRO'\n",
      " 'SALTA Y CASEROS AV.' 'JAURES, JEAN Y PERON, JUAN DOMINGO, TTE. GENERAL'\n",
      " 'TRIUNVIRATO AV. Y LARRALDE, CRISOLOGO AV.' 'POTOSI Y GASCON'\n",
      " 'YRIGOYEN, HIPOLITO Y  24 DE NOVIEMBRE'\n",
      " 'DEL LIBERTADOR AV. Y ROOSEVELT FRANKLIN D.'\n",
      " 'AU BUENOS AIRES LA PLATA  KM 4,5' 'PERON, EVA AV. y PIEDRA BUENA AV'\n",
      " 'PAZ, GRAL. AV. y DELLEPIANE, LUIS, TTE. GRAL'\n",
      " 'AU FRONDIZI ALTURA QUINQUELA MARTIN, BENITO' 'PAZ, GRAL. AV. y DONADO'\n",
      " 'COREA AV. y TORRES Y TENORIO, PRES'\n",
      " 'FALCON, RAMON L., CNEL. Y SAN PEDRITO AV.'\n",
      " 'FINOCHIETTO ENRIQUE DR. 1623' '9 DE JULIO AV. E INDEPENDENCIA AV.'\n",
      " 'AU CANTILO Y GUIRALDES, INT.' 'AU 25 DE MAYO ALTURA BAJADA BOEDO AV.'\n",
      " 'ALCORTA, AMANCIO AV. y ZAVALETA' 'JANER, ANA MARIA Y LAFUENTE AV.'\n",
      " 'PAZ, GRAL. AV. Y MOSCONI GENERAL AV.'\n",
      " 'MONROE Y BALBIN, RICARDO, DR. AV.' 'JUSTO, JUAN B. AV. Y SANTA FE AV.'\n",
      " 'OLIDEN Y ALBERDI, JUAN BAUTISTA AV.' 'DEL LIBERTADOR AV. Y CASARES AV.'\n",
      " 'RIVADAVIA AV. 10900' 'ALBERDI, JUAN BAUTISTA AV. Y PILAR'\n",
      " 'PERON, EVA AV. Y ACOSTA, MARIANO' 'AU FRONDIZI Y SUAREZ AV.'\n",
      " 'EL CANO AV. Y GUZMAN AV.'\n",
      " 'VEDIA, AGUSTIN DE Y RABANAL, FRANCISCO, INTENDENTE AV.'\n",
      " 'CAPDEVILLA Y CONGRESO AV.' 'FERNANDEZ DE LA CRUZ, F., GRAL. AV. 4000'\n",
      " 'DEL LIBERTADOR AV. 5958' '27 DE FEBRERO AV. Y EREZCANO AV.'\n",
      " 'PAZ, GRAL. AV. 14723' 'CORRIENTES AV. 5783' 'TABARE Y EREZCANO'\n",
      " 'CORRIENTES AV. Y PUEYRREDOR AV.' 'CORRALES Y MORENO, PERITO AV.'\n",
      " 'AU ILLIA KM 3.2, ALTURA CABINAS DE PEAJE' 'AV. GRAL. PAZ Y VEDIA'\n",
      " 'GARAY, JUAN DE AV. 2269' 'SALGUERO, JERONIMO Y RIVADAVIA AV.'\n",
      " 'MORENO, PERITO AV. Y ALCORTA, AMANCIO AV.' 'LA PLATA AV. 2723'\n",
      " 'ALBERDI, JUAN BAUTISTA AV. 2906' 'PAZ, GRAL. AV. Y TONELERO'\n",
      " 'Av. SAN JUAN Y AV. LA PLATA' 'Av. LOPE DE VEGA Y AV. GRAL. PAZ'\n",
      " 'AU FRONDIZI KM 2,9 (ALTURA BRASIL)' 'BEIRO, FRANCISCO AV. 5071'\n",
      " 'AV. SANTA FE 3428' 'CHILAVERT, MARTINIANO, CORONEL Y VARELA AV.'\n",
      " 'SAN LUIS 2730' 'CALLAO AV. Y PARAGUAY'\n",
      " 'DEL LIBERTADOR AV. Y AGOTE, LUIS DR.'\n",
      " 'PAZ, GRAL. AV. Y BALBIN, RICARDO, DR. AV.' 'SALTA Y BRASIL'\n",
      " 'MORENO, PERITO AV. 2152' 'DIRECTORIO AV. 1169'\n",
      " 'INDEPENDENCIA AV. Y LA PLATA AV.' 'TUCUMAN 3112'\n",
      " 'ARENALES Y 9 DE JULIO AV.' 'AU FRONDIZI SUBIDA BRANDSEN'\n",
      " 'AU 25 DE MAYO KM7 (ALTURA PASCO)' 'CABILDO AV. Y OLAZABAL'\n",
      " 'TAPALQUE Y BRUIX AV.' 'PAZ, GRAL. AV. Y EZEIZA' 'RIVADAVIA AV. Y PUAN'\n",
      " 'ESMERALDA 1359' 'AV. MOROE Y 3 DE FEBRERO' 'AV. GAONA 3655'\n",
      " 'AV. 9 DE JULIO Y LAVALLE' 'BAIGORRIA Y VICTOR HUGO'\n",
      " 'AV. RIVADAVIA Y AV. PUEYRREDON' 'AV. RIESTRA Y MOM'\n",
      " 'AU DELLEPIANE Y LACARRA' 'AV. GAONA Y TERRADA' 'AV. EVA PERON 4071'\n",
      " 'PADRE CARLOS MUJICA 709']\n"
     ]
    }
   ],
   "source": [
    "print(hechos['LUGAR_DEL_HECHO'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['AVENIDA' 'GRAL PAZ' 'CALLE' 'AUTOPISTA']\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "print(hechos['TIPO_DE_CALLE'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['PIEDRA BUENA AV.' 'PAZ, GRAL. AV.' 'ENTRE RIOS AV.' 'LARRAZABAL AV.'\n",
      " 'SAN JUAN AV.' '27 DE FEBRERO AV.' 'NOGOYA' 'BELGRANO AV.'\n",
      " 'SCALABRINI ORTIZ, RAUL AV.' 'REGIMIENTO DE PATRICIOS AV.'\n",
      " 'ACOSTA, MARIANO' 'DE LA TORRE, LISANDRO' 'SUIPACHA' 'DIRECTORIO AV.'\n",
      " '9 DE JULIO AV.' 'HOLMBERG' 'CURAPALIGUE AV.' 'VIAMONTE' 'CABILDO AV.'\n",
      " 'ALCORTA, AMANCIO AV.' 'CORRIENTES AV.' 'HERRERA' 'LAFUENTE AV.'\n",
      " 'MITRE, BARTOLOME' 'DELLEPIANE, LUIS, TTE. GRAL.'\n",
      " 'MORENO, JOSE MARIA AV.' 'LIMA'\n",
      " 'AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI' 'GORDILLO, TIMOTEO'\n",
      " 'LUGONES, LEOPOLDO AV.' 'TRIUNVIRATO AV.'\n",
      " 'AUTOPISTA DELLEPIANE LUIS TTE. GRAL.' 'CASTILLA, RAMON, MARISCAL'\n",
      " 'CAMPOS, LUIS M. AV.' 'CIUDADELA' 'JUSTO, JUAN B. AV.' 'GAONA AV.'\n",
      " 'FIGUEROA ALCORTA, PRES. AV.' 'MAGARI?OS CERVANTES, A.' 'SAN MARTIN AV.'\n",
      " 'PERON, JUAN DOMINGO, TTE. GENERAL' 'DEL LIBERTADOR AV.'\n",
      " 'LARRALDE, CRISOLOGO AV.' 'LA PLATA AV.' 'ALBERDI, JUAN BAUTISTA AV.'\n",
      " 'PELLEGRINI, CARLOS' 'RABANAL, FRANCISCO, INTENDENTE AV.' 'OLIVERA AV.'\n",
      " 'CERETTI' 'SALGUERO, JERONIMO' 'MERCEDES' 'SOLIS' 'MOSCONI GENERAL AV.'\n",
      " 'PERON, EVA AV.' 'ZINNY' 'LACROZE, FEDERICO AV.'\n",
      " 'AUTOPISTA PERITO MORENO' 'LUGONES' 'AUTOPISTA 25 DE MAYO' 'ARIAS'\n",
      " 'ASAMBLEA AV.' 'RIVADAVIA AV.' 'IRIGOYEN' 'CASTRO' 'MIRAVE'\n",
      " 'LAS HERAS GENERAL AV.' 'AUTOPISTA BUENOS AIRES - LA PLATA'\n",
      " 'JURAMENTO AV.' 'BROWN, ALTE. AV.' 'PICHINCHA AV.' 'INDEPENDENCIA AV.'\n",
      " 'GARMENDIA AV.' nan 'MORENO, PERITO AV.' 'ARAOZ' 'MADERO' 'SANTA FE AV.'\n",
      " 'GARCIA, MARTIN AV.' 'NU?EZ' 'HUERGO, ING. AV.' 'GARAY, JUAN DE AV.'\n",
      " 'FALCON, RAMON L.,CNEL.' 'ARENALES' 'REPUBLICA BOLIVARIANA DE VENEZUELA'\n",
      " 'OLAVARRIA' 'CABRERA, JOSE A.' 'TRAFUL' 'IRIARTE, GRAL. AV.' 'DONADO'\n",
      " 'CORDOBA AV.' 'SARMIENTO' 'FERNANDEZ DE LA CRUZ, F., GRAL. AV.'\n",
      " 'CASEROS AV.' 'MOZART' '24 DE NOVIEMBRE' 'GODOY CRUZ'\n",
      " 'ACHAVAL RODRIGUEZ, T., DR. AV.' 'CASTA?ARES AV.' 'GUIRALDES, INT.'\n",
      " 'FERNANDEZ MORENO, BALDOMERO' 'ARGENTINA AV.' 'VIEYTES'\n",
      " 'DE LOS CONSTITUYENTES AV.' 'BRASIL' 'ESCALADA AV.' 'PARAGUAY' 'CHILE'\n",
      " 'MAIPU' 'SUAREZ AV.' 'NUEVA YORK' 'CASCO' 'DE MAYO AV.'\n",
      " 'CASTILLO, RAMON S., PRES. AV.' 'FRAY JUSTO SANTAMARIA DE ORO' 'MEXICO'\n",
      " 'TACUARI' 'PASEO COLON AV.' 'LEGUIZAMON, MARTINIANO' 'CHIVILCOY AV.'\n",
      " 'SUPERI' 'HUGO, VICTOR' 'BONIFACIO, JOSE' 'LAVALLE' 'USPALLATA'\n",
      " 'ALVEAR AV.' 'PAVON AV.' 'ALBARI?O' 'RAMIREZ DE VELASCO, JUAN'\n",
      " 'RIESTRA AV.' 'GALLO' 'ARANGUREN, JUAN F., DR.' 'CHORROARIN' 'COSQUIN'\n",
      " 'ROCA, CNEL. AV.' 'WARNES AV.' 'BARCO CENTENERA DEL' 'TRELLES, MANUEL R.'\n",
      " 'MAZA' 'CACHI' 'ROSARIO' 'GUALEGUAYCHU' 'NAZCA AV.' 'PERU'\n",
      " 'PUEYRREDON, HONORIO, DR. AV.' 'VALLE' 'PILCOMAYO' 'CERVANTES'\n",
      " 'CALLAO AV.' 'OLIDEN' 'CONGRESO AV.' 'AUSTRALIA AV.' 'SAN PEDRITO AV.'\n",
      " 'ISABEL LA CATOLICA' 'AUTOPISTA PRESIDENTE HECTOR J. CAMPORA'\n",
      " 'MONTES DE OCA, MANUEL AV.' 'ALVAREZ THOMAS AV.' 'AVELLANEDA AV.'\n",
      " 'BILBAO, FRANCISCO AV.' 'PLAZA' 'CAMARONES' 'FREIRE, RAMON, CAP. GRAL.'\n",
      " 'BRANDSEN' 'VILARDEBO, TEODORO' 'ALBERTI' 'QUESADA' 'CALIFORNIA'\n",
      " 'CARRIL, SALVADOR MARIA DEL AV.' 'SAN LUIS' 'COMBATE DE LOS POZOS'\n",
      " 'ESTADOS UNIDOS' 'ALEM, LEANDRO N. AV.' 'VARELA AV.' 'CARABOBO AV.'\n",
      " 'MORENO' 'CHAVEZ, JORGE' 'URQUIZA, GRAL.' 'DE LOS CORRALES AV.'\n",
      " 'CASTANARES AV.' 'LARRAZABAL' 'MOREAU DE JUSTO, ALICIA AV.'\n",
      " '15 DE NOVIEMBRE DE 1889' 'LACARRA AV.'\n",
      " 'AUTOPISTA PRESIDENTE H?CTOR J. C?MPORA'\n",
      " 'RAWSON DE DELLEPIANE, ELVIRA AV.' 'FAMATINA' 'DE LOS ITALIANOS AV.'\n",
      " 'TUCUMAN' 'MU?ECAS' 'ARTIGAS, JOSE GERVASIO, GRAL.' 'BOSCH, VENTURA'\n",
      " 'MONROE' 'SAENZ AV.' 'NEWBERY, JORGE AV.' 'MADERO, EDUARDO AV.'\n",
      " 'AUTOPISTA ARTURO ILLIA' 'ALSINA, ADOLFO' 'BERMUDEZ' 'SANTANDER'\n",
      " 'LANTERI JULIETA' 'OBLIGADO RAFAEL, AV.COSTANERA' 'CHACABUCO' 'SALVIGNY'\n",
      " 'LAMARCA, EMILIO' 'CARRILLO, RAMON, DR.' 'CANTILO, INT.' 'CHICLANA AV.'\n",
      " 'BOYACA AV.' 'ALVAREZ, DONATO, TTE. GRAL.' 'RIGLOS' 'LA RIOJA'\n",
      " 'UDAONDO, GUILLERMO AV.' 'PUAN' 'BOEDO AV.' 'CIUDAD DE LA PAZ'\n",
      " 'FILIBERTO, JUAN DE DIOS' 'ASTURIAS AV.' 'GANDARA' 'GUEVARA, TRINIDAD'\n",
      " 'ARTILLEROS' 'ACOSTA, MARIANO AV.' '11 DE SEPTIEMBRE DE 1888'\n",
      " 'PINO, VIRREY DEL' 'FOREST AV.' 'CASTRO, EMILIO' 'PRIMERA JUNTA'\n",
      " 'SAN ANTONIO' 'EINSTEIN, ALBERTO' 'AGRELO' 'ELCANO AV.' 'MONTE' 'TANDIL'\n",
      " 'CARDOSO' 'BRIN, MINISTRO' 'NIZA' 'CAMARGO' 'GUZMAN' 'IBARROLA'\n",
      " 'SANTO TOME' 'URIARTE' 'SARAZA' 'RODRIGUEZ PE?A' 'COLOMBRES'\n",
      " 'COMBATIENTES DE MALVINAS AV.' 'BRASIL AV.' 'CONSTITUCION'\n",
      " 'PUEYRREDON AV.' 'BRAVO, MARIO' 'ARAOZ DE LAMADRID, GREGORIO, GRAL.'\n",
      " 'MURGUIONDO' 'GARZON, EUGENIO, GRAL. AV.' 'CURAPALIGUE' 'DIAZ, ANA'\n",
      " 'DORREGO AV.' 'INCLAN' 'OLAZABAL AV.' 'HOMERO' 'JUJUY AV.' 'BOGOTA'\n",
      " 'ALVAREZ JONTE AV.' 'CASTRO, EMILIO AV.' 'PAYSANDU' 'SALTA'\n",
      " 'JAURES, JEAN' 'POTOSI' 'YRIGOYEN, HIPOLITO' 'COREA AV.'\n",
      " 'FINOCHIETTO ENRIQUE DR.' 'JANER, ANA MARIA' 'VEDIA, AGUSTIN DE'\n",
      " 'CAPDEVILA' 'TABARE' 'CORRALES' 'LOPE DE VEGA AV.' 'BEIRO, FRANCISCO AV.'\n",
      " 'CHILAVERT, MARTINIANO, CORONEL' 'TAPALQUE' 'ESMERALDA' 'BAIGORRIA'\n",
      " 'PADRE CARLOS MUJICA']\n"
     ]
    }
   ],
   "source": [
    "print(hechos['Calle'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
      "119  2016-0151           1 2016-11-18  2016  11  18  20:35:00  20   \n",
      "\n",
      "    LUGAR_DEL_HECHO TIPO_DE_CALLE  ... Altura  Cruce Dirección Normalizada  \\\n",
      "119              SD         CALLE  ...    NaN    NaN                   NaN   \n",
      "\n",
      "    COMUNA    XY (CABA) pos x pos y PARTICIPANTES VICTIMA ACUSADO  \n",
      "119      0  Point (. .)     .     .     PEATON-SD  PEATON      SD  \n",
      "\n",
      "[1 rows x 21 columns]\n",
      "Empty DataFrame\n",
      "Columns: [ID, N_VICTIMAS, FECHA, AAAA, MM, DD, HORA, HH, LUGAR_DEL_HECHO, TIPO_DE_CALLE, Calle, Altura, Cruce, Dirección Normalizada, COMUNA, XY (CABA), pos x, pos y, PARTICIPANTES, VICTIMA, ACUSADO]\n",
      "Index: []\n",
      "\n",
      "[0 rows x 21 columns]\n",
      "Empty DataFrame\n",
      "Columns: [ID, N_VICTIMAS, FECHA, AAAA, MM, DD, HORA, HH, LUGAR_DEL_HECHO, TIPO_DE_CALLE, Calle, Altura, Cruce, Dirección Normalizada, COMUNA, XY (CABA), pos x, pos y, PARTICIPANTES, VICTIMA, ACUSADO]\n",
      "Index: []\n",
      "\n",
      "[0 rows x 21 columns]\n",
      "0\n",
      "0\n",
      "1\n"
     ]
    }
   ],
   "source": [
    "# Verificación de valores nulos\n",
    "\n",
    "# Buscar registros igual a 'SD'\n",
    "\n",
    "print(hechos[hechos['LUGAR_DEL_HECHO'] == 'SD'])\n",
    "print(hechos[hechos['TIPO_DE_CALLE'] == 'SD'])\n",
    "print(hechos[hechos['Calle'] == 'SD'])\n",
    "\n",
    "# Verificar datos Na\n",
    "\n",
    "print(hechos['LUGAR_DEL_HECHO'].isnull().sum())\n",
    "print(hechos['TIPO_DE_CALLE'].isnull().sum())\n",
    "print(hechos['Calle'].isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Las variables `LUGAR_DEL_HECHO`, `TIPO_DE_CALLE` y `Calle` contienen información sobre la ubicación de los incidentes y se encuentran acorde a la descripción, se detecto un valor 'SD' que se debera tratar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos['LUGAR_DEL_HECHO'].replace('SD', pd.NA, inplace=True)\n",
    "hechos.dropna(subset=['LUGAR_DEL_HECHO'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Altura, Cruce"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[   nan  2034.  1366.   156.  1483.    30.  1471.  3900.  2384.  1410.\n",
      "  4233.  3500.   984.  4895. 15200.   900.  5645.   300.  4500.  3319.\n",
      "  3055.  7121.  1429.  2651.  2699.  2186.  5940.  4900.  2950.  3696.\n",
      "   133.  1930.   390.   901.  2639.  2114.  5400.  2135.  5750.  1211.\n",
      "   611.  3555.  6350.   365.  5249.   937.  1019.  2800.  2320.  6950.\n",
      "  1571.   879.  2300.  2430. 11050.  2215.  3400.  2968.  1513.   150.\n",
      " 14800.  5321. 11200.   550.  7013.  1893.  1974.  1400.  5172.  4650.\n",
      " 16080.  4100.  5402.  5638.  6326.  3444.  3050.   665.   650.  1700.\n",
      "  1548.  2976.   305.  4706.  5600.  2874.  1788.  4300.  2428.  6700.\n",
      "  5455.  2250.   466.  2860.   770.  1279.  1339.  2551.  1550.   614.\n",
      "  5437.  1100.  1845.  1118.  3800.  1675.  1623. 10900.  4000.  5958.\n",
      " 14723.  5783.  2269.  2723.  2906.  5071.  3428.  2730.  2152.  1169.\n",
      "  3112.  1359.  3655.  4071.   709.]\n",
      "564\n",
      "['FERNANDEZ DE LA CRUZ, F., GRAL. AV.' 'DE LOS CORRALES AV.' nan\n",
      " 'VILLEGAS, CONRADO, GRAL.' 'SAENZ PE?A, LUIS, PRES.' 'ESCALADA AV.'\n",
      " 'GONZALEZ, JOAQUIN V.' 'IRIGOYEN, BERNARDO DE' 'VERA'\n",
      " 'QUINQUELA MARTIN, BENITO' 'JANER, ANA MARIA'\n",
      " 'GARCIA GRANDE DE ZEQUEIRA, SEVERO' 'CURAPALIGUE' 'ALSINA, ADOLFO'\n",
      " '27 DE FEBRERO AV.' 'VEDIA' 'DIAZ, AVELINO' '9 DE JULIO AV.' 'DEHEZA'\n",
      " 'ROCA, CNEL. AV.' 'BONAVENA, OSCAR NATALIO' 'CALLAO AV.'\n",
      " 'VALLE, ARISTOBULO DEL' 'QUIRNO' 'ZUVIRIA' 'PUEYRREDON AV.'\n",
      " 'RIVERA INDARTE AV.' 'MURGUIONDO' 'BALBASTRO' 'DEL LIBERTADOR AV.'\n",
      " 'DORREGO AV.' 'OLAZABAL AV.' 'PAZ, GRAL. AV.'\n",
      " 'FIGUEROA ALCORTA, PRES. AV.' 'LIMA' 'CARRASCO AV.' 'ESPINOSA' 'SARAZA'\n",
      " 'FILIBERTO' 'SCAPINO, RODOLFO' 'MIRALLA' 'CAMARONES'\n",
      " 'ALEM, LEANDRO N. AV.' 'JUJUY AV.' 'UDAONDO, GUILLERMO AV.'\n",
      " 'RIVADAVIA AV.' 'MACHAIN' 'PUAN' 'TUCUMAN' 'EREZCANO'\n",
      " 'FALCON, RAMON L.,CNEL.' 'NU?EZ' 'LA PAMPA' 'MITRE, EMILIO'\n",
      " 'MOSCONI GENERAL AV.' 'MEXICO' 'ALBERTI' 'DONADO' 'CHAVEZ, JORGE'\n",
      " 'SUAREZ, JOSE LEON' 'SANTIAGO DE COMPOSTELA AV.' 'FRAGA' 'BARRAGAN'\n",
      " 'CARHUE' 'AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI' 'GUARDIA NACIONAL'\n",
      " 'TRONADOR' 'TAGLE' 'TRIUNVIRATO AV.' 'BONORINO, ESTEBAN, CNEL. AV.'\n",
      " 'ALBERDI, JUAN BAUTISTA AV.' 'TINOGASTA' 'PAVON AV.' '24 DE NOVIEMBRE'\n",
      " 'SANCHEZ DE BUSTAMANTE' '2 DE ABRIL DE 1982' 'PINEDO, INT.' 'LADINES'\n",
      " 'BLANCO ENCALADA' 'VUELTA DE OBLIGADO' 'RAMOS MEJIA, JOSE MARIA, DR. AV.'\n",
      " 'BRASIL' 'CEVALLOS, VIRREY' 'TABORDA, DIOGENES' 'CORDOBA AV.'\n",
      " 'DEAN FUNES' 'GODOY CRUZ' 'FOREST AV.' 'POMAR, GREGORIO TTE. CNEL.'\n",
      " 'BALBIN, RICARDO, DR. AV.' 'AUTOPISTA 25 DE MAYO' 'CASTRO'\n",
      " 'SAN PEDRITO AV.' 'MEMBRILLAR' 'PASEO COLON AV.' 'SAAVEDRA' 'ACHUPALLAS'\n",
      " 'VELEZ SARSFIELD AV.' 'BONPLAND' 'RIGLOS' 'ARIAS' 'PARAGUAY' 'LIBERTAD'\n",
      " 'FOURNIER' 'FRAGATA PRES. SARMIENTO' 'TANDIL'\n",
      " 'AUTOPISTA DELLEPIANE LUIS TTE. GRAL.' 'PAVON' 'LOS CEDROS'\n",
      " 'GUTIERREZ, RICARDO' 'VILLAFLOR, AZUCENA' 'CAMPANA' 'LAUTARO' 'CORVALAN'\n",
      " 'VARELA AV.' 'GOLETA SANTA CRUZ' 'VILLARINO' 'MORAN, PEDRO' 'SAN BLAS'\n",
      " 'PERON, JUAN DOMINGO, TTE. GENERAL' 'HERRERA' 'MORENO, JOSE MARIA AV.'\n",
      " 'SCHMIDL, ULRICO' 'VALLEJOS' 'ECUADOR' 'CALLE 12 (NO OFICIAL)'\n",
      " 'RODRIGUEZ PE?A' 'GARCIA, MARTIN AV.' 'BRASIL AV.'\n",
      " 'PUENTE DISTRIBUIDOR SCALABRINI ORTIZ' 'SALGUERO, JERONIMO' 'ZAPATA'\n",
      " 'ZAVALETA' 'ESTADOS UNIDOS' 'GUEMES' 'JARAMILLO' 'PORTELA' 'PIROVANO'\n",
      " 'MAIPU' 'TREINTA Y TRES ORIENTALES' 'CRUZ, OSVALDO AV.' 'ARGENTINA AV.'\n",
      " 'LARRAYA' 'CA?ADA DE GOMEZ' 'SAN MARTIN AV.' 'PUNTA ARENAS'\n",
      " 'RABANAL, FRANCISCO, INTENDENTE AV.' 'SAN NICOLAS' 'PERON, EVA AV.'\n",
      " 'GOYENA, PEDRO AV.' 'DIAZ, CESAR, GRAL.' 'DON BOSCO' 'LA RIOJA' 'LUJAN'\n",
      " 'TRAFUL' 'LA PLATA AV.' 'CASEROS AV.' 'HUMAITA' 'RINCON' 'GALICIA'\n",
      " 'MANZANARES' 'BARCO CENTENERA DEL' 'INDEPENDENCIA AV.' 'BROWN, ALTE. AV.'\n",
      " 'BELAUSTEGUI, LUIS, DR.' 'LOPEZ, VICENTE'\n",
      " 'CHILAVERT, MARTINIANO, CORONEL' 'GALVAN' 'SALVADORES, CNEL.' 'OLAVARRIA'\n",
      " 'ROSARIO' 'BOYACA AV.' 'SAENZ AV.' 'RONDEAU' 'AZUL' 'GAONA AV.'\n",
      " 'ALVAREZ THOMAS AV.' 'ARTIGAS, JOSE GERVASIO, GRAL.' 'AGUILAR'\n",
      " 'LOPE DE VEGA AV.' 'ARGERICH' 'URIBURU JOSE E., PRES.'\n",
      " 'OLAGUER Y FELIU, VIRREY' 'PERDRIEL' 'ALVAREZ JONTE AV.' 'PEDERNERA'\n",
      " 'JURAMENTO AV.' 'CARBONARI, FRANCISCO, CMTE.' 'NAZCA' 'AGUERO'\n",
      " 'HUMBERTO 1?' 'THAMES' 'SANCHEZ DE LORIA' 'PICHINCHA' 'VIAMONTE'\n",
      " 'PRIMERA JUNTA' 'JUNCAL' 'LACROZE, FEDERICO AV.'\n",
      " 'FINOCHIETTO ENRIQUE DR.' 'URQUIZA, GRAL.' 'HUERGO, ING. AV.'\n",
      " 'ORTIZ DE OCAMPO' 'GARZON, EUGENIO, GRAL. AV.' 'COCHABAMBA'\n",
      " 'GARAY, JUAN DE AV.' 'COLOMBRES' 'PERGAMINO' 'GASCON' 'BERUTI'\n",
      " 'DELLEPIANE, LUIS, TTE. GRAL.' 'BERON DE ASTRADA' 'ZAPIOLA' 'SUAREZ AV.'\n",
      " 'ECHEVERRIA' 'GUEMES, MACACHA' 'GALLARDO, ANGEL AV.' 'SERRANO'\n",
      " 'TRES ARROYOS' 'SAN PEDRITO' 'MANZONI' 'LARRAZABAL' 'VENTANA'\n",
      " 'DE LOS CONSTITUYENTES AV.' 'GUEVARA' 'SEGUROLA AV.'\n",
      " 'CASTILLO, RAMON S., PRES. AV.' 'PERU' 'SANTIAGO DEL ESTERO'\n",
      " 'MORENO, PERITO AV.' 'TERRADA' 'MEDINA' 'YATAY' 'SAN JUAN AV.'\n",
      " 'GORDILLO, TIMOTEO' 'MOM' 'YERBAL' 'JACQUES, AMADEO' 'AZCUENAGA'\n",
      " 'ORO?O, NICASIO' 'MADERO, EDUARDO AV.' 'ALVAREZ, DONATO, TTE. GRAL. AV.'\n",
      " 'FORMOSA' 'DIRECTORIO AV.' 'SANTANDER' 'ANDALGALA' 'CONSTITUCION'\n",
      " 'REPUBLICA DE LA INDIA' 'CABILDO AV.' 'MENDOZA' 'HONDURAS AV.'\n",
      " 'CASTA?ARES AV.' 'CAMPOS, LUIS M. AV.' 'MAURE' 'AVELLANEDA AV.' 'TILCARA'\n",
      " 'BOLIVAR (NO OFICIAL)' 'GORRITI' 'OLIVERA AV.' 'ALCORTA, AMANCIO AV.'\n",
      " 'LAFUENTE' 'BACACAY' 'BLANES, JUAN MANUEL' 'CAMARGO' 'SUAREZ'\n",
      " 'JUSTO, JUAN B. AV.' 'PIEDRAS' 'TILCARA AV.' 'LOYOLA'\n",
      " 'COMBATE DE LOS POZOS' 'JAURES, JEAN' 'NOGOYA' 'GOMEZ, VALENTIN'\n",
      " 'MONTIEL' 'WARNES AV.' 'ROFFO, ANGEL H., DR.'\n",
      " 'ANCHORENA, TOMAS MANUEL DE, DR.' 'DIAZ, CNEL. AV.'\n",
      " 'SOLDADO DE LA FRONTERA AV.' 'CARRANZA, ADOLFO P.' 'LACARRA AV.'\n",
      " 'MERCEDES' 'EINSTEIN, ALBERTO' 'VIALE, LUIS' 'ALTA GRACIA'\n",
      " 'GOYENECHE, ROBERTO PARQUE AV.' 'BEAZLEY' 'AUSTRIA' 'LAS HERAS, GENERAL'\n",
      " 'CALVO, CARLOS' 'NAZCA AV.' 'CHIVILCOY' 'GUARANI' 'SARMIENTO AV.'\n",
      " 'GIRIBONE' 'GUAMINI' 'DE LA TORRE, LISANDRO' 'LARRALDE, CRISOLOGO AV.'\n",
      " 'ROOSEVELT FRANKLIN D.' 'PIEDRA BUENA AV.' 'TORRES Y TENORIO, PRES.'\n",
      " 'GUIRALDES, INT.' 'LAFUENTE AV.' 'SANTA FE AV.' 'CASARES AV.' 'PILAR'\n",
      " 'ACOSTA, MARIANO' 'GUZMAN AV.' 'CONGRESO AV.' 'EREZCANO AV.' 'TONELERO'\n",
      " 'AGOTE, LUIS DR.' 'OLAZABAL' 'BRUIX AV.' 'EZEIZA' '3 DE FEBRERO'\n",
      " 'LAVALLE' 'HUGO, VICTOR']\n",
      "168\n"
     ]
    }
   ],
   "source": [
    "print(hechos['Altura'].unique())\n",
    "print(hechos['Altura'].isnull().sum())\n",
    "print(hechos['Cruce'].unique())\n",
    "print(hechos['Cruce'].isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Altura                              Dirección Normalizada\n",
      "0       NaN  PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., G...\n",
      "1       NaN               PAZ, GRAL. AV. y DE LOS CORRALES AV.\n",
      "3       NaN          LARRAZABAL AV. y VILLEGAS, CONRADO, GRAL.\n",
      "4       NaN            SAN JUAN AV. y SAENZ PEÃ‘A, LUIS, PRES.\n",
      "5       NaN                   27 DE FEBRERO AV. y ESCALADA AV.\n",
      "..      ...                                                ...\n",
      "689     NaN                           BAIGORRIA y HUGO, VICTOR\n",
      "690     NaN                     RIVADAVIA AV. y PUEYRREDON AV.\n",
      "691     NaN                                  RIESTRA AV. y MOM\n",
      "692     NaN         DELLEPIANE, LUIS, TTE. GRAL. y LACARRA AV.\n",
      "693     NaN                                GAONA AV. y TERRADA\n",
      "\n",
      "[564 rows x 2 columns]\n",
      "    Cruce                       Dirección Normalizada\n",
      "2     NaN                         ENTRE RIOS AV. 2034\n",
      "9     NaN                         ENTRE RIOS AV. 1366\n",
      "14    NaN                                SUIPACHA 156\n",
      "33    NaN                                   LIMA 1483\n",
      "35    NaN  AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI\n",
      "..    ...                                         ...\n",
      "680   NaN                AUTOPISTA 25 DE MAYO y PASCO\n",
      "685   NaN                              ESMERALDA 1359\n",
      "687   NaN                              GAONA AV. 3655\n",
      "694   NaN                         PERON, EVA AV. 4071\n",
      "695   NaN                     PADRE CARLOS MUGICA 709\n",
      "\n",
      "[168 rows x 2 columns]\n",
      "PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., GRAL. AV. nan\n",
      "ENTRE RIOS AV. 2034 2034.0\n",
      "ENTRE RIOS AV. 2034 nan\n",
      "PIEDRA BUENA AV. y FERNANDEZ DE LA CRUZ, F., GRAL. AV. FERNANDEZ DE LA CRUZ, F., GRAL. AV.\n"
     ]
    }
   ],
   "source": [
    "print(hechos[['Altura', 'Dirección Normalizada']][hechos['Altura'].isnull()])\n",
    "print(hechos[['Cruce', 'Dirección Normalizada']][hechos['Cruce'].isnull()])\n",
    "# Mostrar registro con altura nula\n",
    "print(hechos['Dirección Normalizada'][0], hechos['Altura'][1])\n",
    "\n",
    "# Mostrar registro con altura\n",
    "\n",
    "print(hechos['Dirección Normalizada'][2], hechos['Altura'][2])\n",
    "\n",
    "# Mostrar registro con Cruce nulo\n",
    "print(hechos['Dirección Normalizada'][2], hechos['Cruce'][2])\n",
    "\n",
    "# Mostrar registro con Cruce\n",
    "\n",
    "print(hechos['Dirección Normalizada'][0], hechos['Cruce'][0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contiene 564 valores nulos, debido a que estas variables estan condicionada con la variable `Dirección Normalizada`, algunas direcciones no contienen altura he aqui el motivo de los valores nulos, por lo que no se realizaran transformaciones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dirección Normalizada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "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",
       "691                                    RIESTRA AV. y MOM\n",
       "692           DELLEPIANE, LUIS, TTE. GRAL. y LACARRA AV.\n",
       "693                                  GAONA AV. y TERRADA\n",
       "694                                  PERON, EVA AV. 4071\n",
       "695                              PADRE CARLOS MUGICA 709\n",
       "Name: Dirección Normalizada, Length: 691, dtype: object"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos['Dirección Normalizada']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos['Dirección Normalizada'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "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>38</th>\n",
       "      <td>2016-0052</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>20:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>AUTOPISTA LUGONES PK 10000</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-SD</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2016-0136</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-10-25</td>\n",
       "      <td>2016</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>AU BUENOS AIRES - LA PLATA KM. 4</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2017-0050</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-04-28</td>\n",
       "      <td>2017</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>11:08:00</td>\n",
       "      <td>11</td>\n",
       "      <td>AU PERITO MORENO Y RAMAL ENLACE AU1/AU6</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2017-0051</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-05-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>03:47:00</td>\n",
       "      <td>3</td>\n",
       "      <td>AU DELLEPIANE 2400</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>AUTO-AUTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2018-0039</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-04-21</td>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>22:15:00</td>\n",
       "      <td>22</td>\n",
       "      <td>AUTOPISTA LUGONES KM 4.7</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PEATON-AUTO</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>2020-0026</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-05-17</td>\n",
       "      <td>2020</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>06:40:00</td>\n",
       "      <td>6</td>\n",
       "      <td>LUGONES, LEOPOLDO AV. KM 6,1</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-OBJETO FIJO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>OBJETO FIJO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>2021-0023</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>2021</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>09:20:00</td>\n",
       "      <td>9</td>\n",
       "      <td>AU BUENOS AIRES LA PLATA  KM 4,5</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "38   2016-0052           1 2016-04-20  2016   4  20  20:00:00  20   \n",
       "106  2016-0136           1 2016-10-25  2016  10  25  00:00:00   0   \n",
       "180  2017-0050           2 2017-04-28  2017   4  28  11:08:00  11   \n",
       "181  2017-0051           1 2017-05-01  2017   5   1  03:47:00   3   \n",
       "313  2018-0039           1 2018-04-21  2018   4  21  22:15:00  22   \n",
       "546  2020-0026           1 2020-05-17  2020   5  17  06:40:00   6   \n",
       "621  2021-0023           1 2021-03-01  2021   3   1  09:20:00   9   \n",
       "\n",
       "                             LUGAR_DEL_HECHO TIPO_DE_CALLE  ... Altura  Cruce  \\\n",
       "38                AUTOPISTA LUGONES PK 10000     AUTOPISTA  ...    NaN    NaN   \n",
       "106         AU BUENOS AIRES - LA PLATA KM. 4     AUTOPISTA  ...    NaN    NaN   \n",
       "180  AU PERITO MORENO Y RAMAL ENLACE AU1/AU6     AUTOPISTA  ...    NaN    NaN   \n",
       "181                       AU DELLEPIANE 2400     AUTOPISTA  ...    NaN    NaN   \n",
       "313                 AUTOPISTA LUGONES KM 4.7     AUTOPISTA  ...    NaN    NaN   \n",
       "546             LUGONES, LEOPOLDO AV. KM 6,1     AUTOPISTA  ...    NaN    NaN   \n",
       "621         AU BUENOS AIRES LA PLATA  KM 4,5     AUTOPISTA  ...    NaN    NaN   \n",
       "\n",
       "    Dirección Normalizada COMUNA    XY (CABA) pos x pos y     PARTICIPANTES  \\\n",
       "38                    NaN     13  Point (. .)     .     .           MOTO-SD   \n",
       "106                   NaN      4  Point (. .)     .     .       MOTO-CARGAS   \n",
       "180                   NaN      9  Point (. .)     .     .       MOTO-CARGAS   \n",
       "181                   NaN      7  Point (. .)     .     .         AUTO-AUTO   \n",
       "313                   NaN     14  Point (. .)     .     .       PEATON-AUTO   \n",
       "546                   NaN     14  Point (. .)     .     .  MOTO-OBJETO FIJO   \n",
       "621                   NaN      4  Point (. .)     .     .       MOTO-CARGAS   \n",
       "\n",
       "    VICTIMA      ACUSADO  \n",
       "38     MOTO           SD  \n",
       "106    MOTO       CARGAS  \n",
       "180    MOTO       CARGAS  \n",
       "181    AUTO         AUTO  \n",
       "313  PEATON         AUTO  \n",
       "546    MOTO  OBJETO FIJO  \n",
       "621    MOTO       CARGAS  \n",
       "\n",
       "[7 rows x 21 columns]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos[hechos['Dirección Normalizada'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [ID, N_VICTIMAS, FECHA, AAAA, MM, DD, HORA, HH, LUGAR_DEL_HECHO, TIPO_DE_CALLE, Calle, Altura, Cruce, Dirección Normalizada, COMUNA, XY (CABA), pos x, pos y, PARTICIPANTES, VICTIMA, ACUSADO]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 21 columns]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos[hechos['Dirección Normalizada'] == 'SD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminar registros con Dirección Normalizada nula\n",
    "\n",
    "hechos.dropna(subset=['Dirección Normalizada'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COMUNA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 8  9  1 11 15  4  7 12  3 13 14 10  6  2  5  0]\n"
     ]
    }
   ],
   "source": [
    "print(hechos['COMUNA'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hay registros que no estan en el rango de 1-15 (0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>139</th>\n",
       "      <td>2016-0174</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-27</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>AUTOPISTA 25 DE MAYO</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA 25 DE MAYO</td>\n",
       "      <td>0</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>SD-SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
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      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA HH  \\\n",
       "139  2016-0174           1 2016-12-27  2016  12  27  00:00:00  0   \n",
       "\n",
       "          LUGAR_DEL_HECHO TIPO_DE_CALLE  ... Altura  Cruce  \\\n",
       "139  AUTOPISTA 25 DE MAYO     AUTOPISTA  ...    NaN    NaN   \n",
       "\n",
       "    Dirección Normalizada COMUNA    XY (CABA) pos x pos y PARTICIPANTES  \\\n",
       "139  AUTOPISTA 25 DE MAYO      0  Point (. .)     .     .         SD-SD   \n",
       "\n",
       "    VICTIMA ACUSADO  \n",
       "139      SD      SD  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos[hechos['COMUNA'] == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se identifico un registro con valor 0, se eliminara este registro."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos['COMUNA'].replace(0, pd.NA, inplace=True)\n",
    "\n",
    "hechos.dropna(subset=['COMUNA'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XY (CABA), pos x, pos y\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      " '-34.64787051' '-34.59171721' '-34.54321216' '-34.54966288'\n",
      " '-34.61765855' '-34.59778875' '-34.54972741' '-34.63132912'\n",
      " '-34.56213916' '-34.61512051' '-34.57084818' '-34.65107080'\n",
      " '-34.61853244' '-34.58035258' '-34.54395182' '-34.63665402'\n",
      " '-34.60189492' '-34.64234110' '-34.63997430' '-34.59573848'\n",
      " '-34.58498660' '-34.63089661' '-34.58075791' '-34.65232158'\n",
      " '-34.66245085' '-34.67216349' '-34.59185043' '-34.67926929'\n",
      " '-34.68148508' '-34.59800248' '-34.61349731' '-34.64925746'\n",
      " '-34.59967065' '-34.69374130' '-34.66777987' '-34.59626814'\n",
      " '-34.65522746' '-34.59279388' '-34.64385704' '-34.68003614'\n",
      " '-34.62513374' '-34.60724519' '-34.61223119' '-34.67450313'\n",
      " '-34.62438894' '-34.61477051' '-34.63934531' '-34.65559133'\n",
      " '-34.65073916' '-34.61829385' '-34.63412287' '-34.62656868'\n",
      " '-34.64597065' '-34.59407024' '-34.62771756' '-34.65969965'\n",
      " '-34.62297346' '-34.61895467' '-34.60395657' '-34.54332766'\n",
      " '-34.61953517' '-34.62499107' '-34.63601265' '-34.61687778'\n",
      " '-34.62763661' '-34.63038658' '-34.59088447' '-34.68049201'\n",
      " '-34.56786129' '-34.65080597' '-34.64684275' '-34.63070603'\n",
      " '-34.64543658' '-34.59176378' '-34.66518343' '-34.64546845'\n",
      " '-34.63966783' '-34.62082399' '-34.57827342' '-34.62245140'\n",
      " '-34.65476216' '-34.63722107' '-34.64251042' '-34.62049672'\n",
      " '-34.57905579' '-34.61779710' '-34.56888640' '-34.62902048'\n",
      " '-34.59522198' '-34.62919627' '-34.59694755' '-34.59975962'\n",
      " '-34.60885045' '-34.57305993' '-34.64282424' '-34.63953396'\n",
      " '-34.61207587' '-34.61866627' '-34.57916920' '-34.62925068'\n",
      " '-34.55395823' '-34.56203610' '-34.64341878' '-34.59070093'\n",
      " '-34.59939180' '-34.57121563' '-34.61883916' '-34.63918987'\n",
      " '-34.62163006' '-34.59082159' '-34.63035454' '-34.61964833'\n",
      " '-34.59952725' '-34.63953253' '-34.59283447' '-34.58698157'\n",
      " '-34.62973033' '-34.62930339' '-34.59954925' '-34.62126274'\n",
      " '-34.61099738' '-34.68454456' '-34.65168841' '-34.63376545'\n",
      " '-34.58129246' '-34.59473294' '-34.64567171' '-34.65869968'\n",
      " '-34.69153196' '-34.62260331' '-34.65015854' '-34.63023775'\n",
      " '-34.67051543' '-34.59774487' '-34.63105973' '-34.58579880'\n",
      " '-34.65117757' '-34.67152226' '-34.66128115' '-34.69640164'\n",
      " '-34.62367156' '-34.54073130' '-34.64640709' '-34.64446729'\n",
      " '-34.55161027' '-34.61011987' '-34.60463618' '-34.60066507'\n",
      " '-34.60207186' '-34.64949724' '-34.59970903' '-34.61474911'\n",
      " '-34.61807951' '-34.64297861' '-34.67981324' '-34.66012327'\n",
      " '-34.60774301' '-34.66292532' '-34.57208238' '-34.63743280'\n",
      " '-34.67233407' '-34.63682499' '-34.65084045' '-34.64055918'\n",
      " '-34.56919739' '-34.64592873' '-34.58695347' '-34.62770192'\n",
      " '-34.60106568' '-34.57241534' '-34.64019887' '-34.61265002'\n",
      " '-34.62913916' '-34.61100424' '-34.62073702' '-34.63888084'\n",
      " '-34.61381341' '-34.62085945' '-34.57251072' '-34.64047818'\n",
      " '-34.65082149' '-34.59718073' '-34.65284605' '-34.63382309'\n",
      " '-34.55509606' '-34.61071660' '-34.69156793' '-34.62200207'\n",
      " '-34.56961468' '-34.66252488' '-34.67665828' '-34.64457699'\n",
      " '-34.58657938' '-34.59703502' '-34.63356284' '-34.61632317'\n",
      " '-34.54048625' '-34.55374003' '-34.63572989' '-34.62561234'\n",
      " '-34.63637963' '-34.60937557' '-34.59511714' '-34.60588536'\n",
      " '-34.62447891' '-34.59832047' '-34.60443790' '-34.65093074'\n",
      " '-34.60053054' '-34.62147504' '-34.61971907' '-34.54628513'\n",
      " '-34.63679732' '-34.65846419' '-34.62465368' '-34.62036547'\n",
      " '-34.57579669' '-34.53825652' '-34.63330028' '-34.62038137'\n",
      " '-34.56166498' '-34.59411677' '-34.63832093' '-34.66004784'\n",
      " '-34.58428769' '-34.60283208' '-34.62330939' '-34.55760517'\n",
      " '-34.63627822' '-34.63099197' '-34.63504312' '-34.55781320'\n",
      " '-34.56201105' '-34.58711712' '-34.65414867' '-34.64938031'\n",
      " '-34.64276621' '-34.66256502' '-34.62930162' '-34.59217875'\n",
      " '-34.65620398' '-34.63524207' '-34.57926018' '-34.53465378'\n",
      " '-34.65584079' '-34.58070186' '-34.65417740' '-34.61866836'\n",
      " '-34.58623761' '-34.66119740' '-34.65839090' '-34.63628186'\n",
      " '-34.63419130' '-34.58841560' '-34.57418656' '-34.63107887'\n",
      " '-34.64868027' '-34.59559816' '-34.63420319' '-34.60907662'\n",
      " '-34.59724326' '-34.62726382' '-34.64815069' '-34.58984288'\n",
      " '-34.58368803' '-34.64991178' '-34.64143926' '-34.63206174'\n",
      " '-34.61520391' '-34.59213355' '-34.64646409' '-34.60927582'\n",
      " '-34.60919284' '-34.65412546' '-34.61648696' '-34.59804521'\n",
      " '-34.60600850' '-34.62214953' '-34.61823178' '-34.61783553'\n",
      " '-34.57994061' '-34.61600366' '-34.59879316' '-34.61413568'\n",
      " '-34.54200276' '-34.62846670' '-34.60557123' '-34.59488319'\n",
      " '-34.63695178' '-34.65177305' '-34.60975108' '-34.60221948'\n",
      " '-34.63886726' '-34.60646580' '-34.65788529' '-34.59635137'\n",
      " '-34.60922259' '-34.63638927' '-34.58778790' '-34.58345898'\n",
      " '-34.63491705' '-34.68192648' '-34.59717942' '-34.62207347'\n",
      " '-34.60776782' '-34.65174801' '-34.59322448' '-34.62981124'\n",
      " '-34.60183884' '-34.62977080' '-34.57868970' '-34.61945902'\n",
      " '-34.62794241' '-34.65672199' '-34.61253541' '-34.61047001'\n",
      " '-34.54836855' '-34.63593897' '-34.58307887' '-34.61790839'\n",
      " '-34.62113271' '-34.62742408' '-34.60373898' '-34.61565025'\n",
      " '-34.60111373' '-34.63217813' '-34.62622851' '-34.64972472'\n",
      " '-34.62941648' '-34.63866836' '-34.64730145' '-34.56726817'\n",
      " '-34.58622275' '-34.61134937' '-34.59564871' '-34.68385968'\n",
      " '-34.59779521' '-34.59724990' '-34.68482689' '-34.63168269'\n",
      " '-34.60793518' '-34.60727189' '-34.61185625' '-34.55217303'\n",
      " '-34.67006054' '-34.64449357' '-34.64357704' '-34.63215432'\n",
      " '-34.63455776' '-34.61765323' '-34.54538956' '-34.65679806'\n",
      " '-34.56219075' '-34.57816791' '-34.65303372' '-34.57728060'\n",
      " '-34.63931792' '-34.65556223' '-34.64600222' '-34.58569883'\n",
      " '-34.65633192' '-34.56981410' '-34.66902702' '-34.55719892'\n",
      " '-34.66005171' '-34.68010798' '-34.59477360' '-34.65463857'\n",
      " '-34.60456293' '-34.65008280' '-34.57563957' '-34.54596153'\n",
      " '-34.62783085' '-34.65012801' '-34.64645957' '-34.63348678'\n",
      " '-34.65422917' '-34.62699730' '-34.61098186' '-34.62764718'\n",
      " '-34.61164474' '-34.58697680' '-34.65470804' '-34.60003693'\n",
      " '-34.58405348' '-34.62786038' '-34.65094083' '-34.62933109'\n",
      " '-34.60097942' '-34.59430160' '-34.63800916' '-34.62453459'\n",
      " '-34.56015762' '-34.64584795' '-34.57786555' '-34.62352826'\n",
      " '-34.59167894' '-34.55555257' '-34.62140594' '-34.60256036'\n",
      " '-34.62284918' '-34.64561636' '-34.61984745' '-34.65021673'\n",
      " '-34.58679619']\n",
      "object\n",
      "object\n",
      "object\n"
     ]
    }
   ],
   "source": [
    "print(hechos['XY (CABA)'].unique())\n",
    "print(hechos['pos x'].unique())\n",
    "print(hechos['pos y'].unique())\n",
    "print(hechos['XY (CABA)'].dtype)\n",
    "print(hechos['pos x'].dtype)\n",
    "print(hechos['pos y'].dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hay registros sin coordenadas asignada, se eliminaran estos registros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>35</th>\n",
       "      <td>2016-0049</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI KM....</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>-58.37714647568196</td>\n",
       "      <td>-34.63657525428238</td>\n",
       "      <td>SD-SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2016-0096</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-07-25</td>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>25</td>\n",
       "      <td>07:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>AUTOPISTA DELLEPIANE LUIS TTE. GRAL. KM. 2,3</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA DELLEPIANE LUIS TTE. GRAL.</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>-58.47433193007387</td>\n",
       "      <td>-34.66684950051973</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2017-0042</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-04-10</td>\n",
       "      <td>2017</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>9</td>\n",
       "      <td>AV. LEOPOLDO LUGONES PKM 6900</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LUGONES, LEOPOLDO AV.</td>\n",
       "      <td>14</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2017-0140</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-11-19</td>\n",
       "      <td>2017</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>23:22:00</td>\n",
       "      <td>23</td>\n",
       "      <td>AU ARTURO FRONDIZI PKM 3100</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>MOTO-PASAJEROS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>2020-0039</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>2020</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>19:17:00</td>\n",
       "      <td>19</td>\n",
       "      <td>MURGUIONDO 2700</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MURGUIONDO</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (. .)</td>\n",
       "      <td>.</td>\n",
       "      <td>.</td>\n",
       "      <td>PEATON-CARGAS</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>CARGAS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "35   2016-0049           1 2016-04-17  2016   4  17  00:00:00   0   \n",
       "71   2016-0096           1 2016-07-25  2016   7  25  07:00:00   7   \n",
       "176  2017-0042           1 2017-04-10  2017   4  10  09:00:00   9   \n",
       "256  2017-0140           1 2017-11-19  2017  11  19  23:22:00  23   \n",
       "559  2020-0039           1 2020-09-01  2020   9   1  19:17:00  19   \n",
       "\n",
       "                                       LUGAR_DEL_HECHO TIPO_DE_CALLE  ...  \\\n",
       "35   AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI KM....     AUTOPISTA  ...   \n",
       "71        AUTOPISTA DELLEPIANE LUIS TTE. GRAL. KM. 2,3     AUTOPISTA  ...   \n",
       "176                      AV. LEOPOLDO LUGONES PKM 6900      GRAL PAZ  ...   \n",
       "256                        AU ARTURO FRONDIZI PKM 3100     AUTOPISTA  ...   \n",
       "559                                    MURGUIONDO 2700         CALLE  ...   \n",
       "\n",
       "    Altura  Cruce                       Dirección Normalizada COMUNA  \\\n",
       "35     NaN    NaN  AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI      4   \n",
       "71     NaN    NaN        AUTOPISTA DELLEPIANE LUIS TTE. GRAL.      8   \n",
       "176    NaN    NaN                       LUGONES, LEOPOLDO AV.     14   \n",
       "256    NaN    NaN  AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI      4   \n",
       "559    NaN    NaN                                  MURGUIONDO      9   \n",
       "\n",
       "       XY (CABA)               pos x               pos y   PARTICIPANTES  \\\n",
       "35   Point (. .)  -58.37714647568196  -34.63657525428238           SD-SD   \n",
       "71   Point (. .)  -58.47433193007387  -34.66684950051973     MOTO-CARGAS   \n",
       "176  Point (. .)                   .                   .     MOTO-CARGAS   \n",
       "256  Point (. .)                   .                   .  MOTO-PASAJEROS   \n",
       "559  Point (. .)                   .                   .   PEATON-CARGAS   \n",
       "\n",
       "    VICTIMA    ACUSADO  \n",
       "35       SD         SD  \n",
       "71     MOTO     CARGAS  \n",
       "176    MOTO     CARGAS  \n",
       "256    MOTO  PASAJEROS  \n",
       "559  PEATON     CARGAS  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "con1 = (hechos['XY (CABA)'] == 'Point (. .)')\n",
    "con2 = (hechos['pos x'] == '.') | (hechos['pos y'] == '.')\n",
    "hechos[con1 | con2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`XY (CABA)` contiene coordenadas planas en el sistema de referencia de la Ciudad de Buenos Aires, `pos x` y `pos y` contienen coordenadas geograficas en el sistema de referencia WGS84 pero el tipo de dato es Object, debe ser transformado a float luego de realizar la limpieza.\n",
    "\n",
    "Existen registros de `XY (CABA)` que estan sin especificar, pero en las variables `pos x` y `pos y` si estan registrados, por lo que se procedera a eliminaran solo los registros que no esten registrados en ninguna de las variables.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos = hechos[~(con2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convertir a float las columnas pos x y pos y\n",
    "hechos['pos x'] = hechos['pos x'].astype(float)\n",
    "\n",
    "hechos['pos y'] = hechos['pos y'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "float64\n",
      "float64\n"
     ]
    }
   ],
   "source": [
    "# verificar tipo de datos\n",
    "\n",
    "print(hechos['pos x'].dtype)\n",
    "print(hechos['pos y'].dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PARTICIPANTES, VICTIMA, ACUSADO\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['MOTO-AUTO' 'AUTO-PASAJEROS' 'MOTO-SD' 'MOTO-PASAJEROS'\n",
      " 'MOTO-OBJETO FIJO' 'MOTO-CARGAS' 'PEATON-AUTO' 'PEATON-MOTO'\n",
      " 'PEATON-PASAJEROS' 'AUTO-AUTO' 'AUTO-OBJETO FIJO' 'PEATON-CARGAS'\n",
      " 'MOTO-MOTO' 'MULTIPLE' 'SD-SD' 'AUTO-CARGAS' 'AUTO-SD' 'MOTO-MOVIL'\n",
      " 'CARGAS-CARGAS' 'PEATON-SD' 'BICICLETA-CARGAS' 'SD-CARGAS'\n",
      " 'BICICLETA-PASAJEROS' 'PASAJEROS-PASAJEROS' 'MOVIL-PASAJEROS'\n",
      " 'CARGAS-OBJETO FIJO' 'PEATON-BICICLETA' 'SD-AUTO' 'CARGAS-AUTO'\n",
      " 'BICICLETA-AUTO' 'MOTO-BICICLETA' 'SD-MOTO' 'MOVIL-CARGAS'\n",
      " 'PASAJEROS-AUTO' 'AUTO-MOVIL' 'CARGAS-PASAJEROS' 'BICICLETA-TREN'\n",
      " 'BICICLETA-OTRO' 'MOTO-OTRO' 'PEATON_MOTO-MOTO' 'PASAJEROS-SD']\n",
      "['MOTO' 'AUTO' 'PEATON' 'SD' 'CARGAS' 'BICICLETA' 'PASAJEROS' 'MOVIL'\n",
      " 'OBJETO FIJO' 'PEATON_MOTO']\n",
      "['AUTO' 'PASAJEROS' 'SD' 'OBJETO FIJO' 'CARGAS' 'MOTO' 'MULTIPLE' 'OTRO'\n",
      " 'BICICLETA' 'TREN']\n"
     ]
    }
   ],
   "source": [
    "print(hechos['PARTICIPANTES'].unique())\n",
    "print(hechos['VICTIMA'].unique())\n",
    "print(hechos['ACUSADO'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Se realizara una imputación del valor mas frecuente para las variables `VICTIMA` y `ACUSADO` que contienen valores 'SD', luego con esos datos se creara la columna `PARTICIPANTES` que es la concatenación de `VICTIMA` y `ACUSADO` excepto cuando `ACUSADO` contiene \"MULTIPLE\".\n",
    "Se verificara que todos los valores de `PARTICIPANTES` correspondan a los valores de `VICTIMA` y `ACUSADO`.\n",
    "Se detecto una inconsistencia en la variable `VICTIMA` , contienen registros con el valor 'OBJETO FIJO' o 'PEATON_MOTO' que no estan en el diccionario , por lo que se deben tratar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de registros con 'sd' en 'VICTIMA' o 'ACUSADO': 23\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>PARTICIPANTES</th>\n",
       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PARTICIPANTES VICTIMA ACUSADO\n",
       "3       MOTO-AUTO    MOTO    AUTO\n",
       "32      MOTO-AUTO    MOTO    AUTO\n",
       "35      MOTO-AUTO    MOTO    AUTO\n",
       "57      MOTO-AUTO    MOTO    AUTO\n",
       "76      MOTO-AUTO    MOTO    AUTO\n",
       "83      MOTO-AUTO    MOTO    AUTO\n",
       "88      MOTO-AUTO    MOTO    AUTO\n",
       "92      MOTO-AUTO    MOTO    AUTO\n",
       "105     MOTO-AUTO    MOTO    AUTO\n",
       "112     MOTO-AUTO    MOTO    AUTO\n",
       "126     MOTO-AUTO    MOTO    AUTO\n",
       "160     MOTO-AUTO    MOTO    AUTO\n",
       "164     MOTO-AUTO    MOTO    AUTO\n",
       "197     MOTO-AUTO    MOTO    AUTO\n",
       "201     MOTO-AUTO    MOTO    AUTO\n",
       "214     MOTO-AUTO    MOTO    AUTO\n",
       "216     MOTO-AUTO    MOTO    AUTO\n",
       "269     MOTO-AUTO    MOTO    AUTO\n",
       "393     MOTO-AUTO    MOTO    AUTO\n",
       "397     MOTO-AUTO    MOTO    AUTO\n",
       "450     MOTO-AUTO    MOTO    AUTO\n",
       "457     MOTO-AUTO    MOTO    AUTO\n",
       "620     MOTO-AUTO    MOTO    AUTO"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Filtrar registros donde 'VICTIMA' o 'ACUSADO' contienen 'sd' (insensible a mayúsculas/minúsculas)\n",
    "filtro_contiene_sd = hechos['VICTIMA'].str.contains(\n",
    "    'sd', case=False) | hechos['ACUSADO'].str.contains('sd', case=False)\n",
    "\n",
    "# Aplicar el filtro para obtener filas con valores potencialmente inválidos en 'VICTIMA' o 'ACUSADO'\n",
    "registros_con_sd = hechos.loc[filtro_contiene_sd,\n",
    "                              ['PARTICIPANTES', 'VICTIMA', 'ACUSADO']]\n",
    "\n",
    "# Capturar los índices de las filas filtradas para futura referencia\n",
    "indices_con_sd = registros_con_sd.index.tolist()\n",
    "print(\n",
    "    f\"Número de registros con 'sd' en 'VICTIMA' o 'ACUSADO': {len(registros_con_sd)}\")\n",
    "\n",
    "\n",
    "# Obtener el valor más frecuente para 'VICTIMA' y 'ACUSADO' en todo el DataFrame\n",
    "valor_frecuente_victima = hechos['VICTIMA'].mode().iloc[0]\n",
    "valor_frecuente_acusado = hechos['ACUSADO'].mode().iloc[0]\n",
    "\n",
    "# Iterar sobre los índices de registros inválidos para imputación\n",
    "for indice in indices_con_sd:\n",
    "    # Imputar 'VICTIMA' y 'ACUSADO' con su respectivo valor más frecuente\n",
    "    hechos.at[indice, 'VICTIMA'] = valor_frecuente_victima\n",
    "    hechos.at[indice, 'ACUSADO'] = valor_frecuente_acusado\n",
    "\n",
    "    # Actualizar 'PARTICIPANTES' con los valores imputados de 'VICTIMA' y 'ACUSADO'\n",
    "    valor_imputado_victima = hechos.at[indice, 'VICTIMA']\n",
    "    valor_imputado_acusado = hechos.at[indice, 'ACUSADO']\n",
    "    valor_imputado_participantes = f\"{valor_imputado_victima}-{valor_imputado_acusado}\"\n",
    "    hechos.at[indice, 'PARTICIPANTES'] = valor_imputado_participantes\n",
    "\n",
    "# Verificar las filas actualizadas para asegurar que la imputación fue exitosa\n",
    "hechos.loc[indices_con_sd, ['PARTICIPANTES', 'VICTIMA', 'ACUSADO']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>230</th>\n",
       "      <td>2017-0108</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-09-02</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>04:53:00</td>\n",
       "      <td>4</td>\n",
       "      <td>AV. GRAL. PAZ Y MACHAIN</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MACHAIN</td>\n",
       "      <td>PAZ, GRAL. AV. y MACHAIN</td>\n",
       "      <td>12</td>\n",
       "      <td>Point (97098.48468623 109019.96106626)</td>\n",
       "      <td>-58.494911</td>\n",
       "      <td>-34.547956</td>\n",
       "      <td>AUTO-OBJETO FIJO</td>\n",
       "      <td>OBJETO FIJO</td>\n",
       "      <td>AUTO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>2020-0063</td>\n",
       "      <td>2</td>\n",
       "      <td>2020-12-05</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>07:10:00</td>\n",
       "      <td>7</td>\n",
       "      <td>NUEVA YORK Y ALTA GRACIA</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ALTA GRACIA</td>\n",
       "      <td>NUEVA YORK y ALTA GRACIA</td>\n",
       "      <td>11</td>\n",
       "      <td>Point (94080.62190808 102083.62453795)</td>\n",
       "      <td>-58.527838</td>\n",
       "      <td>-34.610470</td>\n",
       "      <td>PEATON_MOTO-MOTO</td>\n",
       "      <td>PEATON_MOTO</td>\n",
       "      <td>MOTO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA HH  \\\n",
       "230  2017-0108           2 2017-09-02  2017   9   2  04:53:00  4   \n",
       "583  2020-0063           2 2020-12-05  2020  12   5  07:10:00  7   \n",
       "\n",
       "              LUGAR_DEL_HECHO TIPO_DE_CALLE  ... Altura        Cruce  \\\n",
       "230   AV. GRAL. PAZ Y MACHAIN      GRAL PAZ  ...    NaN      MACHAIN   \n",
       "583  NUEVA YORK Y ALTA GRACIA         CALLE  ...    NaN  ALTA GRACIA   \n",
       "\n",
       "        Dirección Normalizada COMUNA                               XY (CABA)  \\\n",
       "230  PAZ, GRAL. AV. y MACHAIN     12  Point (97098.48468623 109019.96106626)   \n",
       "583  NUEVA YORK y ALTA GRACIA     11  Point (94080.62190808 102083.62453795)   \n",
       "\n",
       "         pos x      pos y     PARTICIPANTES      VICTIMA ACUSADO  \n",
       "230 -58.494911 -34.547956  AUTO-OBJETO FIJO  OBJETO FIJO    AUTO  \n",
       "583 -58.527838 -34.610470  PEATON_MOTO-MOTO  PEATON_MOTO    MOTO  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos[(hechos['VICTIMA'] == \"OBJETO FIJO\") |\n",
    "       (hechos['VICTIMA'] == \"PEATON_MOTO\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se intercambiaran los valores de `VICTIMA` y `ACUSADO` ya que se encuentran invertidos y se borrara el registro con el valor 'PEATON_MOTO'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Intercambiar valores de 'VICTIMA' y 'ACUSADO' para registros donde 'VICTIMA' es \"OBJETO FIJO\"\n",
    "\n",
    "mask = hechos['VICTIMA'] == \"OBJETO FIJO\"\n",
    "hechos.loc[mask, ['VICTIMA', 'ACUSADO']] = hechos.loc[mask, ['ACUSADO', 'VICTIMA']].values\n",
    "\n",
    "# Eliminar el registro donde 'VICTIMA' es \"PEATON_MOTO\"\n",
    "hechos = hechos[hechos['VICTIMA'] != \"PEATON_MOTO\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos['PARTICIPANTES_TEORICO'] = hechos['VICTIMA'] + '-' + hechos['ACUSADO']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "  <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",
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       "      <th>...</th>\n",
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       "      <th>pos x</th>\n",
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       "      <th>VICTIMA</th>\n",
       "      <th>ACUSADO</th>\n",
       "      <th>PARTICIPANTES_TEORICO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2016-0044</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-03-31</td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>31</td>\n",
       "      <td>19:40:00</td>\n",
       "      <td>19</td>\n",
       "      <td>AV JOSE MARIA MORENO Y BALBASTRO</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>BALBASTRO</td>\n",
       "      <td>MORENO, JOSE MARIA AV. y BALBASTRO</td>\n",
       "      <td>7</td>\n",
       "      <td>Point (102857.73817324 99148.76714504)</td>\n",
       "      <td>-58.432132</td>\n",
       "      <td>-34.636940</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-0085</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-06-29</td>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>AVDA ITE FRANCISCO RABANAL &amp; AVDA EREZCANO</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>EREZCANO</td>\n",
       "      <td>RABANAL, FRANCISCO, INTENDENTE AV. y EREZCANO</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (103621.92252760 96885.28433165)</td>\n",
       "      <td>-58.423788</td>\n",
       "      <td>-34.657341</td>\n",
       "      <td>MOTO-MOVIL</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>OTRO</td>\n",
       "      <td>MOTO-OTRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2016-0178</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>16:18:00</td>\n",
       "      <td>16</td>\n",
       "      <td>REPUBLICA BOLIVARIANA DE VENEZUELA Y SAAVEDRA</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>...</td>\n",
       "      <td>SAAVEDRA</td>\n",
       "      <td>REPUBLICA BOLIVARIANA DE VENEZUELA y SAAVEDRA</td>\n",
       "      <td>3</td>\n",
       "      <td>Point (105541.07964363 101532.48653010)</td>\n",
       "      <td>-58.402882</td>\n",
       "      <td>-34.615441</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2017-0007</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>LIMA Y MEXICO</td>\n",
       "      <td>CALLE</td>\n",
       "      <td>...</td>\n",
       "      <td>MEXICO</td>\n",
       "      <td>LIMA y MEXICO</td>\n",
       "      <td>1</td>\n",
       "      <td>Point (107491.43483173 101547.26343171)</td>\n",
       "      <td>-58.381617</td>\n",
       "      <td>-34.615295</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2017-0014</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-01-28</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>08:27:00</td>\n",
       "      <td>8</td>\n",
       "      <td>AV. DONADO Y ARIAS</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>ARIAS</td>\n",
       "      <td>DONADO y ARIAS</td>\n",
       "      <td>12</td>\n",
       "      <td>Point (97378.59173196 108741.41437861)</td>\n",
       "      <td>-58.491860</td>\n",
       "      <td>-34.550468</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2017-0040</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-04-03</td>\n",
       "      <td>2017</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>09:40:00</td>\n",
       "      <td>9</td>\n",
       "      <td>CAMINO CIUDAD UNUVERSITARIA Y AV. TTE. GUIRALDES</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GUIRALDES, INT. 2699</td>\n",
       "      <td>13</td>\n",
       "      <td>Point (102290.82648731 109281.08885461)</td>\n",
       "      <td>-58.438342</td>\n",
       "      <td>-34.545604</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2017-0101</td>\n",
       "      <td>1</td>\n",
       "      <td>2017-08-23</td>\n",
       "      <td>2017</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>10:00:00</td>\n",
       "      <td>10</td>\n",
       "      <td>AV. FCO. LACROZE Y ZAPATA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>ZAPATA</td>\n",
       "      <td>LACROZE, FEDERICO AV. y ZAPATA</td>\n",
       "      <td>13</td>\n",
       "      <td>Point (101644.77699748 106480.78805418)</td>\n",
       "      <td>-58.445375</td>\n",
       "      <td>-34.570848</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2018-0003</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-05</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>10:12:00</td>\n",
       "      <td>10</td>\n",
       "      <td>Pueyrredon, Honorio, Dr. Av. y Galicia</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>GALICIA</td>\n",
       "      <td>PUEYRREDON, HONORIO, DR. AV. y GALICIA</td>\n",
       "      <td>15</td>\n",
       "      <td>Point (101348.13972450 102808.02053976)</td>\n",
       "      <td>-58.448602</td>\n",
       "      <td>-34.603957</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>2018-0004</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-01-09</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>09:40:00</td>\n",
       "      <td>9</td>\n",
       "      <td>Del Libertador Av. y Manzanares</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>MANZANARES</td>\n",
       "      <td>DEL LIBERTADOR AV. y MANZANARES</td>\n",
       "      <td>13</td>\n",
       "      <td>Point (100183.96103971 109533.84269558)</td>\n",
       "      <td>-58.461295</td>\n",
       "      <td>-34.543328</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2018-0059</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-06-08</td>\n",
       "      <td>2018</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>06:20:00</td>\n",
       "      <td>6</td>\n",
       "      <td>Garay, Juan De Av. y Sanchez De Loria</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>SANCHEZ DE LORIA</td>\n",
       "      <td>GARAY, JUAN DE AV. y SANCHEZ DE LORIA</td>\n",
       "      <td>5</td>\n",
       "      <td>Point (104724.05358972 99878.51159963)</td>\n",
       "      <td>-58.411782</td>\n",
       "      <td>-34.630355</td>\n",
       "      <td>MOTO-MOVIL</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>OTRO</td>\n",
       "      <td>MOTO-OTRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2018-0081</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-07-29</td>\n",
       "      <td>2018</td>\n",
       "      <td>7</td>\n",
       "      <td>29</td>\n",
       "      <td>06:30:00</td>\n",
       "      <td>6</td>\n",
       "      <td>Castañares Av. y Rivera Indarte Av.</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>RIVERA INDARTE AV.</td>\n",
       "      <td>CASTAÃ‘ARES AV. y RIVERA INDARTE AV.</td>\n",
       "      <td>7</td>\n",
       "      <td>Point (101453.89687005 98180.39027169)</td>\n",
       "      <td>-58.447442</td>\n",
       "      <td>-34.645672</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>PEATON-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2018-0097</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-09-02</td>\n",
       "      <td>2018</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>10:50:00</td>\n",
       "      <td>10</td>\n",
       "      <td>Av. Varela y Av. Int. Francisco Rabanal</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>RABANAL, FRANCISCO, INTENDENTE AV.</td>\n",
       "      <td>VARELA AV. y RABANAL, FRANCISCO, INTENDENTE AV.</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (102819.52927414 96448.46140692)</td>\n",
       "      <td>-58.432540</td>\n",
       "      <td>-34.661281</td>\n",
       "      <td>AUTO-MOVIL</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>OTRO</td>\n",
       "      <td>AUTO-OTRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2018-0101</td>\n",
       "      <td>1</td>\n",
       "      <td>2018-09-21</td>\n",
       "      <td>2018</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>00:15:00</td>\n",
       "      <td>0</td>\n",
       "      <td>Paz, Gral. Av. y Zapiola</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>ZAPIOLA</td>\n",
       "      <td>PAZ, GRAL. AV. y ZAPIOLA</td>\n",
       "      <td>12</td>\n",
       "      <td>Point (98376.44189669 109821.71138325)</td>\n",
       "      <td>-58.480986</td>\n",
       "      <td>-34.540731</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2019-0008</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-01-30</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>22:45:00</td>\n",
       "      <td>22</td>\n",
       "      <td>PAZ, GRAL. AV. 16080</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PAZ, GRAL. AV. 16080</td>\n",
       "      <td>8</td>\n",
       "      <td>Point (98650.97430792 93088.91481914)</td>\n",
       "      <td>-58.478023</td>\n",
       "      <td>-34.691568</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2019-0027</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-03-28</td>\n",
       "      <td>2019</td>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>11:11:00</td>\n",
       "      <td>11</td>\n",
       "      <td>SANTA FE AV. Y AZCUENAGA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>AZCUENAGA</td>\n",
       "      <td>SANTA FE AV. y AZCUENAGA</td>\n",
       "      <td>2</td>\n",
       "      <td>Point (105815.73438780 103786.90549585)</td>\n",
       "      <td>-58.399903</td>\n",
       "      <td>-34.595117</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>BICICLETA</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>BICICLETA-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>2019-0041</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-05-11</td>\n",
       "      <td>2019</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>20:30:00</td>\n",
       "      <td>20</td>\n",
       "      <td>ALBERDI, JUAN BAUTISTA AV. Y ANDALGALA</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>ANDALGALA</td>\n",
       "      <td>ALBERDI, JUAN BAUTISTA AV. y ANDALGALA</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (95590.61347415 96760.29404728)</td>\n",
       "      <td>-58.511403</td>\n",
       "      <td>-34.658464</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>AUTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>2019-0097</td>\n",
       "      <td>1</td>\n",
       "      <td>2019-11-25</td>\n",
       "      <td>2019</td>\n",
       "      <td>11</td>\n",
       "      <td>25</td>\n",
       "      <td>08:50:00</td>\n",
       "      <td>8</td>\n",
       "      <td>AUTOPISTA PERITO MORENO KM 5,6</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA PERITO MORENO KM. 5.6</td>\n",
       "      <td>9</td>\n",
       "      <td>Point (98724.36593359 97905.39654686)</td>\n",
       "      <td>-58.477214</td>\n",
       "      <td>-34.648151</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>2020-0030</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-06-16</td>\n",
       "      <td>2020</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>15:00:00</td>\n",
       "      <td>15</td>\n",
       "      <td>SAN MARTIN AV. 1550</td>\n",
       "      <td>AVENIDA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SAN MARTIN AV. 1550</td>\n",
       "      <td>6</td>\n",
       "      <td>Point (101074.10089886 102529.69706887)</td>\n",
       "      <td>-58.451589</td>\n",
       "      <td>-34.606466</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>2021-0045</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-05-26</td>\n",
       "      <td>2021</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>17:24:00</td>\n",
       "      <td>17</td>\n",
       "      <td>AU FRONDIZI Y SUAREZ AV.</td>\n",
       "      <td>AUTOPISTA</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI y S...</td>\n",
       "      <td>4</td>\n",
       "      <td>Point (107903.91828587 98767.43091425)</td>\n",
       "      <td>-58.377093</td>\n",
       "      <td>-34.640351</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>2021-0074</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-09-20</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>15:00:00</td>\n",
       "      <td>15</td>\n",
       "      <td>PAZ, GRAL. AV. Y BALBIN, RICARDO, DR. AV.</td>\n",
       "      <td>GRAL PAZ</td>\n",
       "      <td>...</td>\n",
       "      <td>BALBIN, RICARDO, DR. AV.</td>\n",
       "      <td>PAZ, GRAL. AV. y BALBIN, RICARDO, DR. AV.</td>\n",
       "      <td>12</td>\n",
       "      <td>Point (96563.66494817 108815.73881056)</td>\n",
       "      <td>-58.500738</td>\n",
       "      <td>-34.549795</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MULTIPLE</td>\n",
       "      <td>MOTO-MULTIPLE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ID  N_VICTIMAS      FECHA  AAAA  MM  DD      HORA  HH  \\\n",
       "31   2016-0044           1 2016-03-31  2016   3  31  19:40:00  19   \n",
       "62   2016-0085           1 2016-06-29  2016   6  29  22:00:00  22   \n",
       "143  2016-0178           1 2016-12-30  2016  12  30  16:18:00  16   \n",
       "146  2017-0007           1 2017-01-11  2017   1  11  17:00:00  17   \n",
       "153  2017-0014           1 2017-01-28  2017   1  28  08:27:00   8   \n",
       "174  2017-0040           1 2017-04-03  2017   4   3  09:40:00   9   \n",
       "225  2017-0101           1 2017-08-23  2017   8  23  10:00:00  10   \n",
       "277  2018-0003           1 2018-01-05  2018   1   5  10:12:00  10   \n",
       "278  2018-0004           1 2018-01-09  2018   1   9  09:40:00   9   \n",
       "333  2018-0059           1 2018-06-08  2018   6   8  06:20:00   6   \n",
       "355  2018-0081           1 2018-07-29  2018   7  29  06:30:00   6   \n",
       "371  2018-0097           1 2018-09-02  2018   9   2  10:50:00  10   \n",
       "375  2018-0101           1 2018-09-21  2018   9  21  00:15:00   0   \n",
       "425  2019-0008           1 2019-01-30  2019   1  30  22:45:00  22   \n",
       "444  2019-0027           1 2019-03-28  2019   3  28  11:11:00  11   \n",
       "458  2019-0041           1 2019-05-11  2019   5  11  20:30:00  20   \n",
       "513  2019-0097           1 2019-11-25  2019  11  25  08:50:00   8   \n",
       "550  2020-0030           1 2020-06-16  2020   6  16  15:00:00  15   \n",
       "643  2021-0045           1 2021-05-26  2021   5  26  17:24:00  17   \n",
       "672  2021-0074           1 2021-09-20  2021   9  20  15:00:00  15   \n",
       "\n",
       "                                      LUGAR_DEL_HECHO TIPO_DE_CALLE  ...  \\\n",
       "31                   AV JOSE MARIA MORENO Y BALBASTRO       AVENIDA  ...   \n",
       "62         AVDA ITE FRANCISCO RABANAL & AVDA EREZCANO       AVENIDA  ...   \n",
       "143     REPUBLICA BOLIVARIANA DE VENEZUELA Y SAAVEDRA         CALLE  ...   \n",
       "146                                     LIMA Y MEXICO         CALLE  ...   \n",
       "153                                AV. DONADO Y ARIAS       AVENIDA  ...   \n",
       "174  CAMINO CIUDAD UNUVERSITARIA Y AV. TTE. GUIRALDES       AVENIDA  ...   \n",
       "225                         AV. FCO. LACROZE Y ZAPATA       AVENIDA  ...   \n",
       "277            Pueyrredon, Honorio, Dr. Av. y Galicia       AVENIDA  ...   \n",
       "278                   Del Libertador Av. y Manzanares       AVENIDA  ...   \n",
       "333             Garay, Juan De Av. y Sanchez De Loria       AVENIDA  ...   \n",
       "355               Castañares Av. y Rivera Indarte Av.       AVENIDA  ...   \n",
       "371           Av. Varela y Av. Int. Francisco Rabanal       AVENIDA  ...   \n",
       "375                          Paz, Gral. Av. y Zapiola      GRAL PAZ  ...   \n",
       "425                              PAZ, GRAL. AV. 16080      GRAL PAZ  ...   \n",
       "444                          SANTA FE AV. Y AZCUENAGA       AVENIDA  ...   \n",
       "458            ALBERDI, JUAN BAUTISTA AV. Y ANDALGALA       AVENIDA  ...   \n",
       "513                    AUTOPISTA PERITO MORENO KM 5,6     AUTOPISTA  ...   \n",
       "550                               SAN MARTIN AV. 1550       AVENIDA  ...   \n",
       "643                          AU FRONDIZI Y SUAREZ AV.     AUTOPISTA  ...   \n",
       "672         PAZ, GRAL. AV. Y BALBIN, RICARDO, DR. AV.      GRAL PAZ  ...   \n",
       "\n",
       "                                  Cruce  \\\n",
       "31                            BALBASTRO   \n",
       "62                             EREZCANO   \n",
       "143                            SAAVEDRA   \n",
       "146                              MEXICO   \n",
       "153                               ARIAS   \n",
       "174                                 NaN   \n",
       "225                              ZAPATA   \n",
       "277                             GALICIA   \n",
       "278                          MANZANARES   \n",
       "333                    SANCHEZ DE LORIA   \n",
       "355                  RIVERA INDARTE AV.   \n",
       "371  RABANAL, FRANCISCO, INTENDENTE AV.   \n",
       "375                             ZAPIOLA   \n",
       "425                                 NaN   \n",
       "444                           AZCUENAGA   \n",
       "458                           ANDALGALA   \n",
       "513                                 NaN   \n",
       "550                                 NaN   \n",
       "643                                 NaN   \n",
       "672            BALBIN, RICARDO, DR. AV.   \n",
       "\n",
       "                                 Dirección Normalizada COMUNA  \\\n",
       "31                  MORENO, JOSE MARIA AV. y BALBASTRO      7   \n",
       "62       RABANAL, FRANCISCO, INTENDENTE AV. y EREZCANO      4   \n",
       "143      REPUBLICA BOLIVARIANA DE VENEZUELA y SAAVEDRA      3   \n",
       "146                                      LIMA y MEXICO      1   \n",
       "153                                     DONADO y ARIAS     12   \n",
       "174                               GUIRALDES, INT. 2699     13   \n",
       "225                     LACROZE, FEDERICO AV. y ZAPATA     13   \n",
       "277             PUEYRREDON, HONORIO, DR. AV. y GALICIA     15   \n",
       "278                    DEL LIBERTADOR AV. y MANZANARES     13   \n",
       "333              GARAY, JUAN DE AV. y SANCHEZ DE LORIA      5   \n",
       "355               CASTAÃ‘ARES AV. y RIVERA INDARTE AV.      7   \n",
       "371    VARELA AV. y RABANAL, FRANCISCO, INTENDENTE AV.      8   \n",
       "375                           PAZ, GRAL. AV. y ZAPIOLA     12   \n",
       "425                               PAZ, GRAL. AV. 16080      8   \n",
       "444                           SANTA FE AV. y AZCUENAGA      2   \n",
       "458             ALBERDI, JUAN BAUTISTA AV. y ANDALGALA      9   \n",
       "513                    AUTOPISTA PERITO MORENO KM. 5.6      9   \n",
       "550                                SAN MARTIN AV. 1550      6   \n",
       "643  AUTOPISTA 1 SUR PRESIDENTE ARTURO FRONDIZI y S...      4   \n",
       "672          PAZ, GRAL. AV. y BALBIN, RICARDO, DR. AV.     12   \n",
       "\n",
       "                                   XY (CABA)      pos x      pos y  \\\n",
       "31    Point (102857.73817324 99148.76714504) -58.432132 -34.636940   \n",
       "62    Point (103621.92252760 96885.28433165) -58.423788 -34.657341   \n",
       "143  Point (105541.07964363 101532.48653010) -58.402882 -34.615441   \n",
       "146  Point (107491.43483173 101547.26343171) -58.381617 -34.615295   \n",
       "153   Point (97378.59173196 108741.41437861) -58.491860 -34.550468   \n",
       "174  Point (102290.82648731 109281.08885461) -58.438342 -34.545604   \n",
       "225  Point (101644.77699748 106480.78805418) -58.445375 -34.570848   \n",
       "277  Point (101348.13972450 102808.02053976) -58.448602 -34.603957   \n",
       "278  Point (100183.96103971 109533.84269558) -58.461295 -34.543328   \n",
       "333   Point (104724.05358972 99878.51159963) -58.411782 -34.630355   \n",
       "355   Point (101453.89687005 98180.39027169) -58.447442 -34.645672   \n",
       "371   Point (102819.52927414 96448.46140692) -58.432540 -34.661281   \n",
       "375   Point (98376.44189669 109821.71138325) -58.480986 -34.540731   \n",
       "425    Point (98650.97430792 93088.91481914) -58.478023 -34.691568   \n",
       "444  Point (105815.73438780 103786.90549585) -58.399903 -34.595117   \n",
       "458    Point (95590.61347415 96760.29404728) -58.511403 -34.658464   \n",
       "513    Point (98724.36593359 97905.39654686) -58.477214 -34.648151   \n",
       "550  Point (101074.10089886 102529.69706887) -58.451589 -34.606466   \n",
       "643   Point (107903.91828587 98767.43091425) -58.377093 -34.640351   \n",
       "672   Point (96563.66494817 108815.73881056) -58.500738 -34.549795   \n",
       "\n",
       "     PARTICIPANTES    VICTIMA   ACUSADO PARTICIPANTES_TEORICO  \n",
       "31        MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "62      MOTO-MOVIL       MOTO      OTRO             MOTO-OTRO  \n",
       "143       MULTIPLE     PEATON  MULTIPLE       PEATON-MULTIPLE  \n",
       "146       MULTIPLE     PEATON  MULTIPLE       PEATON-MULTIPLE  \n",
       "153       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "174       MULTIPLE       AUTO  MULTIPLE         AUTO-MULTIPLE  \n",
       "225       MULTIPLE     PEATON  MULTIPLE       PEATON-MULTIPLE  \n",
       "277       MULTIPLE     PEATON  MULTIPLE       PEATON-MULTIPLE  \n",
       "278       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "333     MOTO-MOVIL       MOTO      OTRO             MOTO-OTRO  \n",
       "355       MULTIPLE     PEATON  MULTIPLE       PEATON-MULTIPLE  \n",
       "371     AUTO-MOVIL       AUTO      OTRO             AUTO-OTRO  \n",
       "375       MULTIPLE       AUTO  MULTIPLE         AUTO-MULTIPLE  \n",
       "425       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "444       MULTIPLE  BICICLETA  MULTIPLE    BICICLETA-MULTIPLE  \n",
       "458       MULTIPLE       AUTO  MULTIPLE         AUTO-MULTIPLE  \n",
       "513       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "550       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "643       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "672       MULTIPLE       MOTO  MULTIPLE         MOTO-MULTIPLE  \n",
       "\n",
       "[20 rows x 22 columns]"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtro = hechos['PARTICIPANTES'] != hechos['PARTICIPANTES_TEORICO']\n",
    "\n",
    "hechos[filtro]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cuando `PARTICIPANTES` toma el valor de \"MOTO-MOVIL\" o \"AUTO-MOVIL\" se observa una valor de \"OTRO\" en la variable `ACUSADO` lo cual no es consistente, por lo que se procedera a realizar una transformación."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = (hechos['PARTICIPANTES'] == 'MOTO-MOVIL') | (hechos['PARTICIPANTES'] == 'AUTO-MOVIL')\n",
    "hechos.loc[mask, 'ACUSADO'] = 'MOVIL'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos.drop(columns=['PARTICIPANTES_TEORICO'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Procesamiento de la tabla `victimas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "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 00:00:00</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 00:00:00</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 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-0004</td>\n",
       "      <td>2016-01-10</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>18</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-0005</td>\n",
       "      <td>2016-01-21</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>29</td>\n",
       "      <td>2016-02-01 00:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>2021-0092</td>\n",
       "      <td>2021-12-12</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>50</td>\n",
       "      <td>2021-12-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>2021-0093</td>\n",
       "      <td>2021-12-13</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>18</td>\n",
       "      <td>2021-12-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>2021-0094</td>\n",
       "      <td>2021-12-20</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>43</td>\n",
       "      <td>2021-12-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>2021-0095</td>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>27</td>\n",
       "      <td>2022-01-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>2021-0096</td>\n",
       "      <td>2021-12-15</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>60</td>\n",
       "      <td>2021-12-20 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>717 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID_hecho      FECHA  AAAA  MM  DD                   ROL VICTIMA  \\\n",
       "0    2016-0001 2016-01-01  2016   1   1             CONDUCTOR    MOTO   \n",
       "1    2016-0002 2016-01-02  2016   1   2             CONDUCTOR    AUTO   \n",
       "2    2016-0003 2016-01-03  2016   1   3             CONDUCTOR    MOTO   \n",
       "3    2016-0004 2016-01-10  2016   1  10             CONDUCTOR    MOTO   \n",
       "4    2016-0005 2016-01-21  2016   1  21             CONDUCTOR    MOTO   \n",
       "..         ...        ...   ...  ..  ..                   ...     ...   \n",
       "712  2021-0092 2021-12-12  2021  12  12                PEATON  PEATON   \n",
       "713  2021-0093 2021-12-13  2021  12  13  PASAJERO_ACOMPAÑANTE    MOTO   \n",
       "714  2021-0094 2021-12-20  2021  12  20  PASAJERO_ACOMPAÑANTE    MOTO   \n",
       "715  2021-0095 2021-12-30  2021  12  30             CONDUCTOR    MOTO   \n",
       "716  2021-0096 2021-12-15  2021  12  15             CONDUCTOR    AUTO   \n",
       "\n",
       "          SEXO EDAD  FECHA_FALLECIMIENTO  \n",
       "0    MASCULINO   19  2016-01-01 00:00:00  \n",
       "1    MASCULINO   70  2016-01-02 00:00:00  \n",
       "2    MASCULINO   30  2016-01-03 00:00:00  \n",
       "3    MASCULINO   18                   SD  \n",
       "4    MASCULINO   29  2016-02-01 00:00:00  \n",
       "..         ...  ...                  ...  \n",
       "712   FEMENINO   50  2021-12-12 00:00:00  \n",
       "713   FEMENINO   18  2021-12-18 00:00:00  \n",
       "714   FEMENINO   43  2021-12-20 00:00:00  \n",
       "715  MASCULINO   27  2022-01-02 00:00:00  \n",
       "716  MASCULINO   60  2021-12-20 00:00:00  \n",
       "\n",
       "[717 rows x 10 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "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": [
    "victimas.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reporte Preliminar de la Tabla \"Víctimas\"\n",
    "\n",
    "La tabla \"Víctimas\" consta de 717 entradas y 10 columnas, ofreciendo información detallada sobre cada víctima relacionada con los hechos registrados. A continuación, se presenta un análisis preliminar de cada variable contenida en la tabla:\n",
    "\n",
    "1. **ID_hecho**: Con 717 registros no nulos, esta columna sirve como identificador único para cada hecho, vinculando potencialmente cada víctima a un incidente específico en la tabla principal de hechos. La integridad completa de esta variable facilita la correlación y el análisis conjunto con otras tablas.\n",
    "\n",
    "2. **FECHA**: Presenta la fecha del hecho asociado a cada víctima. Al igual que `ID_hecho`, cuenta con 717 valores no nulos, permitiendo análisis temporales detallados y correlaciones con eventos específicos.\n",
    "\n",
    "3. **AAAA**, **MM**, **DD**: Estas columnas descomponen la fecha del hecho en año, mes y día, respectivamente, lo cual simplifica la realización de análisis por períodos específicos y facilita la identificación de patrones o tendencias temporales.\n",
    "\n",
    "4. **ROL**: Con 717 valores no nulos, esta columna describe el papel o la relación de la víctima con el hecho. La completitud de los datos en esta variable es clave para entender la dinámica de los incidentes y realizar análisis demográficos o psicosociales.\n",
    "\n",
    "5. **VICTIMA**: También completa para todos los registros, proporciona el nombre o identificador de la víctima. Esto es crucial para análisis individuales o para identificar posibles víctimas recurrentes en diferentes hechos.\n",
    "\n",
    "6. **SEXO**: Con 717 registros no nulos, indica el género de cada víctima. Esta variable es fundamental para realizar estudios de género y entender la distribución de los hechos según el sexo de las víctimas.\n",
    "\n",
    "7. **EDAD**: Esta columna, completa en todos los registros, ofrece la edad de las víctimas en el momento del hecho. La disponibilidad completa de esta información permite realizar análisis demográficos detallados y entender mejor las poblaciones afectadas por los hechos registrados.\n",
    "\n",
    "8. **FECHA_FALLECIMIENTO**: Aunque se marca como no nula para todos los registros, esta columna podría contener valores indicativos de que no todas las víctimas fallecieron (por ejemplo, fechas de fallecimiento ficticias o indicadores de no aplicabilidad). Es crucial para análisis de mortalidad y puede requerir una inspección más detallada para identificar correctamente los casos de fallecimiento real.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ID_hecho\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificar ID duplicados\n",
    "\n",
    "victimas['ID_hecho'].duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En este caso, la variable `ID_hecho` se presenta como un identificador único para cada hecho, permitiendo la correlación con la tabla principal de hechos. Se detectan duplicados debido a que hay mas de una victima por hecho, por lo que no se realizaran transformaciones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FECHA, AAAA, MM, DD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FECHA    datetime64[ns]\n",
       "AAAA              int64\n",
       "MM                int64\n",
       "DD                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas[['FECHA', 'AAAA', 'MM', 'DD']].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                              717\n",
       "mean     2018-09-09 01:36:24.100418304\n",
       "min                2016-01-01 00:00:00\n",
       "25%                2017-04-01 00:00:00\n",
       "50%                2018-07-07 00:00:00\n",
       "75%                2019-12-18 00:00:00\n",
       "max                2021-12-30 00:00:00\n",
       "Name: FECHA, dtype: object"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas['FECHA'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2016 2017 2018 2019 2020 2021]\n",
      "[ 1  2  3  4  5  6  7  8  9 10 11 12]\n",
      "[ 1  2  3 10 21 24 29  8 14 15 17 28  4 12 13 19 23 30 31 11 20 22 25 26\n",
      " 16 18 27  7  9  5  6]\n"
     ]
    }
   ],
   "source": [
    "print(victimas['AAAA'].unique())\n",
    "print(victimas['MM'].unique())\n",
    "print(victimas['DD'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Las variables presentan consistencia con el diccionario de datos, por lo que no se realizaran transformaciones."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ROL, VICTIMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CONDUCTOR' 'PASAJERO_ACOMPAÑANTE' 'PEATON' 'SD' 'CICLISTA']\n",
      "['MOTO' 'AUTO' 'PEATON' 'SD' 'CARGAS' 'BICICLETA' 'PASAJEROS' 'MOVIL']\n"
     ]
    }
   ],
   "source": [
    "print(victimas['ROL'].unique())\n",
    "print(victimas['VICTIMA'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se detectaron registros con valores no especificados para los dos variables, se procedera a eliminar estos registros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>36</th>\n",
       "      <td>2016-0049</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2016-0052</td>\n",
       "      <td>2016-04-20</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>SD</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2016-0085</td>\n",
       "      <td>2016-06-29</td>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>SD</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2016-0101</td>\n",
       "      <td>2016-08-07</td>\n",
       "      <td>2016</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>67</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2016-0115</td>\n",
       "      <td>2016-09-02</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2016-0119</td>\n",
       "      <td>2016-09-04</td>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>SD</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2016-0174</td>\n",
       "      <td>2016-12-27</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2017-0029</td>\n",
       "      <td>2017-03-07</td>\n",
       "      <td>2017</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>34</td>\n",
       "      <td>2017-03-07 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2017-0074</td>\n",
       "      <td>2017-06-04</td>\n",
       "      <td>2017</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</td>\n",
       "      <td>2017-06-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2017-0089</td>\n",
       "      <td>2017-07-13</td>\n",
       "      <td>2017</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>23</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2017-0155</td>\n",
       "      <td>2017-12-12</td>\n",
       "      <td>2017</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>77</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2018-0100</td>\n",
       "      <td>2018-09-20</td>\n",
       "      <td>2018</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>SD</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>33</td>\n",
       "      <td>2018-09-20 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID_hecho      FECHA  AAAA  MM  DD                   ROL VICTIMA  \\\n",
       "36   2016-0049 2016-04-17  2016   4  17                    SD      SD   \n",
       "39   2016-0052 2016-04-20  2016   4  20                    SD    MOTO   \n",
       "63   2016-0085 2016-06-29  2016   6  29                    SD    MOTO   \n",
       "77   2016-0101 2016-08-07  2016   8   7                    SD      SD   \n",
       "89   2016-0115 2016-09-02  2016   9   2                    SD      SD   \n",
       "93   2016-0119 2016-09-04  2016   9   4  PASAJERO_ACOMPAÑANTE      SD   \n",
       "141  2016-0174 2016-12-27  2016  12  27                    SD      SD   \n",
       "167  2017-0029 2017-03-07  2017   3   7                    SD      SD   \n",
       "208  2017-0074 2017-06-04  2017   6   4                    SD      SD   \n",
       "221  2017-0089 2017-07-13  2017   7  13                    SD      SD   \n",
       "280  2017-0155 2017-12-12  2017  12  12                    SD      SD   \n",
       "390  2018-0100 2018-09-20  2018   9  20                    SD    MOTO   \n",
       "\n",
       "          SEXO EDAD  FECHA_FALLECIMIENTO  \n",
       "36          SD   SD                   SD  \n",
       "39          SD   SD                   SD  \n",
       "63   MASCULINO   SD                   SD  \n",
       "77   MASCULINO   67                   SD  \n",
       "89   MASCULINO   SD                   SD  \n",
       "93    FEMENINO   SD                   SD  \n",
       "141         SD   SD                   SD  \n",
       "167  MASCULINO   34  2017-03-07 00:00:00  \n",
       "208  MASCULINO   70  2017-06-04 00:00:00  \n",
       "221  MASCULINO   23                   SD  \n",
       "280  MASCULINO   77                   SD  \n",
       "390   FEMENINO   33  2018-09-20 00:00:00  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "con1 = (victimas['VICTIMA'] == 'SD')\n",
    "con2 = (victimas['ROL'] == 'SD')\n",
    "victimas[con1 | con2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "victimas = victimas[~(con1 | con2)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#   SEXO, EDAD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['MASCULINO' 'FEMENINO' 'SD']\n",
      "[19 70 30 18 29 22 16 59 65 34 41 50 38 21 52 36 20 54 'SD' 56 24 78 79 26\n",
      " 57 37 58 23 60 42 53 51 40 87 76 75 35 80 43 45 27 55 49 67 81 25 33 46\n",
      " 83 39 28 7 48 4 82 32 17 47 61 10 95 73 84 66 85 1 15 13 44 31 62 74 71\n",
      " 11 86 69 72 12 77 63 92 68 91 64 5 88]\n"
     ]
    }
   ],
   "source": [
    "print(victimas['SEXO'].unique())\n",
    "print(victimas['EDAD'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- `SEXO` : Es consistente con el diccionario de datos, contiene datos sin especificar que se deben tratar.\n",
    "- `EDAD` : Los rangos de edad observados son consistentes, contiene datos sin especificar que se deben tratar."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "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>108</th>\n",
       "      <td>2016-0136</td>\n",
       "      <td>2016-10-25</td>\n",
       "      <td>2016</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2016-0151</td>\n",
       "      <td>2016-11-18</td>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2016-0171</td>\n",
       "      <td>2016-12-25</td>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>25</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID_hecho      FECHA  AAAA  MM  DD        ROL VICTIMA SEXO EDAD  \\\n",
       "108  2016-0136 2016-10-25  2016  10  25  CONDUCTOR    MOTO   SD   SD   \n",
       "121  2016-0151 2016-11-18  2016  11  18     PEATON  PEATON   SD   SD   \n",
       "138  2016-0171 2016-12-25  2016  12  25  CONDUCTOR    MOTO   SD   SD   \n",
       "\n",
       "    FECHA_FALLECIMIENTO  \n",
       "108                  SD  \n",
       "121                  SD  \n",
       "138                  SD  "
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas[victimas['SEXO'] == \"SD\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "victimas = victimas[victimas['SEXO'] != \"SD\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.267806267806268"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas[victimas['EDAD'] == \"SD\"].shape[0] / victimas.shape[0] * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Al ser 44 datos sin especificar, lo que representa aproximadamente el 6% del total de los registros, se realizara una imputación para no perder tanta información que puede influir en los resultados finales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tomar SD y reemplazar por la moda\n",
    "\n",
    "victimas['EDAD'] = victimas['EDAD'].replace('SD', pd.NA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "victimas['EDAD'].fillna(victimas['EDAD'].mode().iloc[0], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FECHA_FALLECIMIENTO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se especificaran los valores SD como NA, y se transformara el tipo de dato a datetime64[ns]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "victimas['FECHA_FALLECIMIENTO'].replace('SD', pd.NA, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "victimas['FECHA_FALLECIMIENTO'] = pd.to_datetime(\n",
    "    victimas['FECHA_FALLECIMIENTO'], errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unificación de las tablas y exportación \n",
    "\n",
    "Se unificaran las tablas `hechos` y `victimas` mediante la variable `ID`, se mantendran las variables que se consideren relevantes para el análisis exploratorio de datos y se exportara el resultado a un archivo csv."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID_hecho</th>\n",
       "      <th>ROL</th>\n",
       "      <th>SEXO</th>\n",
       "      <th>EDAD</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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-0004</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-0005</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>2021-0092</td>\n",
       "      <td>PEATON</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>2021-0093</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>2021-0094</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>2021-0095</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>2021-0096</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>702 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID_hecho                   ROL       SEXO  EDAD\n",
       "0    2016-0001             CONDUCTOR  MASCULINO    19\n",
       "1    2016-0002             CONDUCTOR  MASCULINO    70\n",
       "2    2016-0003             CONDUCTOR  MASCULINO    30\n",
       "3    2016-0004             CONDUCTOR  MASCULINO    18\n",
       "4    2016-0005             CONDUCTOR  MASCULINO    29\n",
       "..         ...                   ...        ...   ...\n",
       "712  2021-0092                PEATON   FEMENINO    50\n",
       "713  2021-0093  PASAJERO_ACOMPAÑANTE   FEMENINO    18\n",
       "714  2021-0094  PASAJERO_ACOMPAÑANTE   FEMENINO    43\n",
       "715  2021-0095             CONDUCTOR  MASCULINO    27\n",
       "716  2021-0096             CONDUCTOR  MASCULINO    60\n",
       "\n",
       "[702 rows x 4 columns]"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "victimas.drop(columns=['FECHA', 'AAAA', 'MM', 'DD',\n",
    "              'FECHA_FALLECIMIENTO', 'VICTIMA'], inplace=True)\n",
    "\n",
    "\n",
    "\n",
    "victimas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "hechos.drop(columns=['Altura', 'Cruce'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "        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>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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [ID, N_VICTIMAS, FECHA, AAAA, MM, DD, HORA, HH, LUGAR_DEL_HECHO, TIPO_DE_CALLE, Calle, Dirección Normalizada, COMUNA, XY (CABA), pos x, pos y, PARTICIPANTES, VICTIMA, ACUSADO]\n",
       "Index: []"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hechos.query('VICTIMA == \"OBJETO FIJO\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "homicidios = hechos.merge(victimas, left_on='ID', right_on='ID_hecho')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "homicidios.drop(columns=['ID_hecho'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 687 entries, 0 to 686\n",
      "Data columns (total 22 columns):\n",
      " #   Column                 Non-Null Count  Dtype         \n",
      "---  ------                 --------------  -----         \n",
      " 0   ID                     687 non-null    object        \n",
      " 1   N_VICTIMAS             687 non-null    int64         \n",
      " 2   FECHA                  687 non-null    datetime64[ns]\n",
      " 3   AAAA                   687 non-null    int64         \n",
      " 4   MM                     687 non-null    int64         \n",
      " 5   DD                     687 non-null    int64         \n",
      " 6   HORA                   687 non-null    object        \n",
      " 7   HH                     687 non-null    object        \n",
      " 8   LUGAR_DEL_HECHO        687 non-null    object        \n",
      " 9   TIPO_DE_CALLE          687 non-null    object        \n",
      " 10  Calle                  687 non-null    object        \n",
      " 11  Dirección Normalizada  687 non-null    object        \n",
      " 12  COMUNA                 687 non-null    object        \n",
      " 13  XY (CABA)              687 non-null    object        \n",
      " 14  pos x                  687 non-null    float64       \n",
      " 15  pos y                  687 non-null    float64       \n",
      " 16  PARTICIPANTES          687 non-null    object        \n",
      " 17  VICTIMA                687 non-null    object        \n",
      " 18  ACUSADO                687 non-null    object        \n",
      " 19  ROL                    687 non-null    object        \n",
      " 20  SEXO                   687 non-null    object        \n",
      " 21  EDAD                   687 non-null    int64         \n",
      "dtypes: datetime64[ns](1), float64(2), int64(5), object(14)\n",
      "memory usage: 118.2+ KB\n"
     ]
    }
   ],
   "source": [
    "homicidios.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <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",
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       "      <th>HH</th>\n",
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       "      <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>ROL</th>\n",
       "      <th>SEXO</th>\n",
       "      <th>EDAD</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>19</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>30</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>8</td>\n",
       "      <td>Point (99840.65224780 94269.16534422)</td>\n",
       "      <td>-58.465039</td>\n",
       "      <td>-34.680930</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>18</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>1</td>\n",
       "      <td>Point (106980.32827929 100752.16915795)</td>\n",
       "      <td>-58.387183</td>\n",
       "      <td>-34.622466</td>\n",
       "      <td>MOTO-PASAJEROS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>29</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>682</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>7</td>\n",
       "      <td>Point (102728.60090138 98186.24929177)</td>\n",
       "      <td>-58.433538</td>\n",
       "      <td>-34.645616</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</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>9</td>\n",
       "      <td>Point (99624.29795829 97569.69801131)</td>\n",
       "      <td>-58.467398</td>\n",
       "      <td>-34.651178</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>PASAJERO_ACOMPAÑANTE</td>\n",
       "      <td>FEMENINO</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</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>11</td>\n",
       "      <td>Point (99116.45492358 101045.23284826)</td>\n",
       "      <td>-58.472934</td>\n",
       "      <td>-34.619847</td>\n",
       "      <td>MOTO-CARGAS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>CARGAS</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</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>9</td>\n",
       "      <td>Point (99324.54463985 97676.26932409)</td>\n",
       "      <td>-58.470668</td>\n",
       "      <td>-34.650217</td>\n",
       "      <td>AUTO-CARGAS</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>CARGAS</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</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>1</td>\n",
       "      <td>Point (107664.16647795 104708.63962087)</td>\n",
       "      <td>-58.379762</td>\n",
       "      <td>-34.586796</td>\n",
       "      <td>BICICLETA-AUTO</td>\n",
       "      <td>BICICLETA</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>CICLISTA</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>687 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",
       "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",
       "682  2021-0093           1 2021-12-13  2021  12  13  17:10:00  17   \n",
       "683  2021-0094           1 2021-12-20  2021  12  20  01:10:00   1   \n",
       "684  2021-0095           1 2021-12-30  2021  12  30  00:43:00   0   \n",
       "685  2021-0096           1 2021-12-15  2021  12  15  10:30:00  10   \n",
       "686  2021-0097           1 2021-11-18  2021  11  18  06:10:00   6   \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",
       "3        AV LARRAZABAL Y GRAL VILLEGAS CONRADO       AVENIDA  ...      8   \n",
       "4    AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA        AVENIDA  ...      1   \n",
       "..                                         ...           ...  ...    ...   \n",
       "682                          AV. RIESTRA Y MOM       AVENIDA  ...      7   \n",
       "683                    AU DELLEPIANE Y LACARRA     AUTOPISTA  ...      9   \n",
       "684                        AV. GAONA Y TERRADA       AVENIDA  ...     11   \n",
       "685                         AV. EVA PERON 4071       AVENIDA  ...      9   \n",
       "686                    PADRE CARLOS MUJICA 709         CALLE  ...      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",
       "3      Point (99840.65224780 94269.16534422) -58.465039 -34.680930   \n",
       "4    Point (106980.32827929 100752.16915795) -58.387183 -34.622466   \n",
       "..                                       ...        ...        ...   \n",
       "682   Point (102728.60090138 98186.24929177) -58.433538 -34.645616   \n",
       "683    Point (99624.29795829 97569.69801131) -58.467398 -34.651178   \n",
       "684   Point (99116.45492358 101045.23284826) -58.472934 -34.619847   \n",
       "685    Point (99324.54463985 97676.26932409) -58.470668 -34.650217   \n",
       "686  Point (107664.16647795 104708.63962087) -58.379762 -34.586796   \n",
       "\n",
       "      PARTICIPANTES    VICTIMA    ACUSADO                   ROL       SEXO  \\\n",
       "0         MOTO-AUTO       MOTO       AUTO             CONDUCTOR  MASCULINO   \n",
       "1    AUTO-PASAJEROS       AUTO  PASAJEROS             CONDUCTOR  MASCULINO   \n",
       "2         MOTO-AUTO       MOTO       AUTO             CONDUCTOR  MASCULINO   \n",
       "3         MOTO-AUTO       MOTO       AUTO             CONDUCTOR  MASCULINO   \n",
       "4    MOTO-PASAJEROS       MOTO  PASAJEROS             CONDUCTOR  MASCULINO   \n",
       "..              ...        ...        ...                   ...        ...   \n",
       "682       MOTO-AUTO       MOTO       AUTO  PASAJERO_ACOMPAÑANTE   FEMENINO   \n",
       "683       MOTO-AUTO       MOTO       AUTO  PASAJERO_ACOMPAÑANTE   FEMENINO   \n",
       "684     MOTO-CARGAS       MOTO     CARGAS             CONDUCTOR  MASCULINO   \n",
       "685     AUTO-CARGAS       AUTO     CARGAS             CONDUCTOR  MASCULINO   \n",
       "686  BICICLETA-AUTO  BICICLETA       AUTO              CICLISTA  MASCULINO   \n",
       "\n",
       "    EDAD  \n",
       "0     19  \n",
       "1     70  \n",
       "2     30  \n",
       "3     18  \n",
       "4     29  \n",
       "..   ...  \n",
       "682   18  \n",
       "683   43  \n",
       "684   27  \n",
       "685   60  \n",
       "686   53  \n",
       "\n",
       "[687 rows x 22 columns]"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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_caso</th>\n",
       "      <th>num_victimas</th>\n",
       "      <th>fecha</th>\n",
       "      <th>anio</th>\n",
       "      <th>mes</th>\n",
       "      <th>dia</th>\n",
       "      <th>hora</th>\n",
       "      <th>hora_exacta</th>\n",
       "      <th>lugar_hecho</th>\n",
       "      <th>tipo_calle</th>\n",
       "      <th>...</th>\n",
       "      <th>comuna</th>\n",
       "      <th>coordenadas_planas</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>participantes</th>\n",
       "      <th>victima</th>\n",
       "      <th>acusado</th>\n",
       "      <th>rol_participante</th>\n",
       "      <th>sexo</th>\n",
       "      <th>edad</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>19</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>70</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>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>30</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>8</td>\n",
       "      <td>Point (99840.65224780 94269.16534422)</td>\n",
       "      <td>-58.465039</td>\n",
       "      <td>-34.680930</td>\n",
       "      <td>MOTO-AUTO</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>AUTO</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>18</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>1</td>\n",
       "      <td>Point (106980.32827929 100752.16915795)</td>\n",
       "      <td>-58.387183</td>\n",
       "      <td>-34.622466</td>\n",
       "      <td>MOTO-PASAJEROS</td>\n",
       "      <td>MOTO</td>\n",
       "      <td>PASAJEROS</td>\n",
       "      <td>CONDUCTOR</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     id_caso  num_victimas      fecha  anio  mes  dia      hora hora_exacta  \\\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",
       "                                 lugar_hecho tipo_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",
       "3      AV LARRAZABAL Y GRAL VILLEGAS CONRADO    AVENIDA  ...      8   \n",
       "4  AV SAN JUAN Y PRESIDENTE LUIS SAENZ PEÑA     AVENIDA  ...      1   \n",
       "\n",
       "                        coordenadas_planas        lon        lat  \\\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",
       "3    Point (99840.65224780 94269.16534422) -58.465039 -34.680930   \n",
       "4  Point (106980.32827929 100752.16915795) -58.387183 -34.622466   \n",
       "\n",
       "    participantes  victima    acusado rol_participante       sexo edad  \n",
       "0       MOTO-AUTO     MOTO       AUTO        CONDUCTOR  MASCULINO   19  \n",
       "1  AUTO-PASAJEROS     AUTO  PASAJEROS        CONDUCTOR  MASCULINO   70  \n",
       "2       MOTO-AUTO     MOTO       AUTO        CONDUCTOR  MASCULINO   30  \n",
       "3       MOTO-AUTO     MOTO       AUTO        CONDUCTOR  MASCULINO   18  \n",
       "4  MOTO-PASAJEROS     MOTO  PASAJEROS        CONDUCTOR  MASCULINO   29  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Renombrar columnas para que an\n",
    "homicidios.rename(columns={\n",
    "    \"ID\": \"id_caso\",\n",
    "    \"N_VICTIMAS\": \"num_victimas\",\n",
    "    \"FECHA\": \"fecha\",\n",
    "    \"AAAA\": \"anio\",\n",
    "    \"MM\": \"mes\",\n",
    "    \"DD\": \"dia\",\n",
    "    \"HORA\": \"hora\",\n",
    "    \"HH\": \"hora_exacta\",\n",
    "    \"LUGAR_DEL_HECHO\": \"lugar_hecho\",\n",
    "    \"TIPO_DE_CALLE\": \"tipo_calle\",\n",
    "    \"Calle\": \"nombre_calle\",\n",
    "    \"Dirección Normalizada\": \"direccion_normalizada\",\n",
    "    \"COMUNA\": \"comuna\",\n",
    "    \"XY (CABA)\": \"coordenadas_planas\",\n",
    "    \"pos x\": \"lon\",\n",
    "    \"pos y\": \"lat\",\n",
    "    \"PARTICIPANTES\": \"participantes\",\n",
    "    \"VICTIMA\": \"victima\",\n",
    "    \"ACUSADO\": \"acusado\",\n",
    "    \"ROL\": \"rol_participante\",\n",
    "    \"SEXO\": \"sexo\",\n",
    "    \"EDAD\": \"edad\"\n",
    "}, inplace=True)\n",
    "\n",
    "# Verificar los cambios\n",
    "homicidios.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['CONDUCTOR', 'PASAJERO_ACOMPAÑANTE', 'PEATON', 'CICLISTA'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicidios.rol_participante.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Recodificar los valores de la columna tipo_calle \n",
    "homicidios['tipo_calle'] = homicidios['tipo_calle'].replace({\n",
    "    'AVENIDA': 'Avenida',\n",
    "    'GRAL PAZ': 'General Paz',\n",
    "    'CALLE': 'Calle',\n",
    "    'AUTOPISTA': 'Autopista'\n",
    "})\n",
    "\n",
    "# Recodificar los valores de la columna rol_participante array(['CONDUCTOR', 'PASAJERO_ACOMPAÑANTE', 'PEATON', 'CICLISTA'],\n",
    "homicidios['rol_participante'] = homicidios['rol_participante'].replace({\n",
    "    'CONDUCTOR': 'Conductor',\n",
    "    'PASAJERO_ACOMPAÑANTE': 'Pasajero Acompañante',\n",
    "    'PEATON': 'Peatón',\n",
    "    'CICLISTA': 'Ciclista'\n",
    "})\n",
    "\n",
    "# Recodificar los valores de la columna victima\n",
    "\n",
    "homicidios['victima'] = homicidios['victima'].replace({\n",
    "    'MOTO': 'Moto',\n",
    "    'AUTO': 'Automóvil',\n",
    "    'PEATON': 'Peatón',\n",
    "    'CARGAS': 'Cargas',\n",
    "    'BICICLETA': 'Bicicleta',\n",
    "    'PASAJEROS': 'Pasajeros',\n",
    "    'MOVIL': 'Móvil'\n",
    "})\n",
    "# Recodificar los valores de la columna acusado\n",
    "\n",
    "homicidios['acusado'] = homicidios['acusado'].replace({\n",
    "    'AUTO': 'Automóvil',\n",
    "    'PASAJEROS': 'Pasajeros',\n",
    "    'OBJETO FIJO': 'Objeto Fijo',\n",
    "    'CARGAS': 'Cargas',\n",
    "    'MOTO': 'Moto',\n",
    "    'MULTIPLE': 'Múltiple',\n",
    "    'BICICLETA': 'Bicicleta',\n",
    "    'MOVIL': 'Móvil',\n",
    "    'TREN': 'Tren',\n",
    "    'OTRO': 'Otro'\n",
    "})\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "homicidios.to_excel(\"./data/homicidios_clean.xlsx\", index=False)"
   ]
  }
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