Proyecto Final- Femicidios & Homicidio Agravado - G12.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c2a26f54",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib import style\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "463887ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Origen del csv url: http://datos.jus.gob.ar/dataset/registro-sistematizacion-y-seguimiento-de-femicidios-y-homicidios-agravados-por-el-genero/archivo/583cec9a-3022-4234-8b32-17692a267aac\n",
    "# Cargar el dataset\n",
    "df = pd.read_csv(\"registro-de-femicidios-20200109.csv \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c5c3452a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   caso_numero  victima_edad victima_identidad_genero victima_tipo  \\\n",
      "0          310          47.0                    MUJER    PRINCIPAL   \n",
      "1          402           7.0                   HOMBRE    VINCULADO   \n",
      "2          237          18.0                    MUJER    PRINCIPAL   \n",
      "3          565          46.0                    MUJER    PRINCIPAL   \n",
      "4          594          27.0                    MUJER    PRINCIPAL   \n",
      "\n",
      "  hecho_provincia hecho_modalidad_comisiva hecho_fecha         fuente_tipo  \\\n",
      "0       Río Negro                   GOLPES  2014-11-20  MEDIO COMUNICACIÓN   \n",
      "1         Córdoba          ACUCHILLAMIENTO  2015-08-04  MEDIO COMUNICACIÓN   \n",
      "2        Santa Fe          DISPARO DE BALA  2014-11-02  MEDIO COMUNICACIÓN   \n",
      "3             NaN               QUEMADURAS  2016-01-22  MEDIO COMUNICACIÓN   \n",
      "4         Neuquen          DISPARO DE BALA  2016-01-24  MEDIO COMUNICACIÓN   \n",
      "\n",
      "                                         fuente_link  hecho_provincia_id  \n",
      "0  http://www.diariouno.com.ar/policiales/una-men...                62.0  \n",
      "1  http://www.diariopopular.com.ar/notas/233296-p...                14.0  \n",
      "2  http://www.elciudadanoweb.com/balean-frente-de...                82.0  \n",
      "3  http://www.cadena3.com/contenido/2016/01/22/Ha...                 NaN  \n",
      "4  https://www.lmneuquen.com/se-volvera-hacer-un-...                58.0  \n"
     ]
    }
   ],
   "source": [
    "#Mostrar las primeras 5 columnas del DataFrame\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1cd303b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>victima_edad</th>\n",
       "      <th>victima_identidad_genero</th>\n",
       "      <th>victima_tipo</th>\n",
       "      <th>hecho_provincia</th>\n",
       "      <th>hecho_modalidad_comisiva</th>\n",
       "      <th>hecho_fecha</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>47.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Río Negro</td>\n",
       "      <td>GOLPES</td>\n",
       "      <td>2014-11-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.0</td>\n",
       "      <td>HOMBRE</td>\n",
       "      <td>VINCULADO</td>\n",
       "      <td>Córdoba</td>\n",
       "      <td>ACUCHILLAMIENTO</td>\n",
       "      <td>2015-08-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2014-11-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>QUEMADURAS</td>\n",
       "      <td>2016-01-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Neuquen</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2016-01-24</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1320</th>\n",
       "      <td>44.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Mendoza</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2019-03-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>54.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>OTROS</td>\n",
       "      <td>2019-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>37.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Ciudad Autónoma de Bs.As.</td>\n",
       "      <td>DESCUARTIZAMIENTO</td>\n",
       "      <td>2019-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1323</th>\n",
       "      <td>59.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>APUÑALAMIENTO</td>\n",
       "      <td>2019-03-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1324</th>\n",
       "      <td>59.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Catamarca</td>\n",
       "      <td>GOLPES</td>\n",
       "      <td>2019-03-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1325 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      victima_edad victima_identidad_genero victima_tipo  \\\n",
       "0             47.0                    MUJER    PRINCIPAL   \n",
       "1              7.0                   HOMBRE    VINCULADO   \n",
       "2             18.0                    MUJER    PRINCIPAL   \n",
       "3             46.0                    MUJER    PRINCIPAL   \n",
       "4             27.0                    MUJER    PRINCIPAL   \n",
       "...            ...                      ...          ...   \n",
       "1320          44.0                    MUJER    PRINCIPAL   \n",
       "1321          54.0                    MUJER    PRINCIPAL   \n",
       "1322          37.0                    MUJER    PRINCIPAL   \n",
       "1323          59.0                    MUJER    PRINCIPAL   \n",
       "1324          59.0                    MUJER    PRINCIPAL   \n",
       "\n",
       "                hecho_provincia hecho_modalidad_comisiva hecho_fecha  \n",
       "0                     Río Negro                   GOLPES  2014-11-20  \n",
       "1                       Córdoba          ACUCHILLAMIENTO  2015-08-04  \n",
       "2                      Santa Fe          DISPARO DE BALA  2014-11-02  \n",
       "3                           NaN               QUEMADURAS  2016-01-22  \n",
       "4                       Neuquen          DISPARO DE BALA  2016-01-24  \n",
       "...                         ...                      ...         ...  \n",
       "1320                    Mendoza          DISPARO DE BALA  2019-03-14  \n",
       "1321               Buenos Aires                    OTROS  2019-03-17  \n",
       "1322  Ciudad Autónoma de Bs.As.        DESCUARTIZAMIENTO  2019-03-17  \n",
       "1323               Buenos Aires            APUÑALAMIENTO  2019-03-16  \n",
       "1324                  Catamarca                   GOLPES  2019-03-27  \n",
       "\n",
       "[1325 rows x 6 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Eliminacion de columnas - Creacion de un nuevo DataFrame\n",
    "df2 = df.drop([\"caso_numero\", \"fuente_tipo\", \"fuente_link\", \"hecho_provincia_id\"], axis = 1)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "68580aa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1325, 6)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Estructura del DataFrame - Columnas y Filas.\n",
    "df2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "341d51db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "victima_edad                1264\n",
       "victima_identidad_genero    1259\n",
       "victima_tipo                1325\n",
       "hecho_provincia             1267\n",
       "hecho_modalidad_comisiva    1200\n",
       "hecho_fecha                 1289\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Cantidad de Registros por columna.\n",
    "df2.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ca049a9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "victima_edad                 61\n",
       "victima_identidad_genero     66\n",
       "victima_tipo                  0\n",
       "hecho_provincia              58\n",
       "hecho_modalidad_comisiva    125\n",
       "hecho_fecha                  36\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analisis Nulos\n",
    "df2.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6e758aca",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "victima_edad                float64\n",
       "victima_identidad_genero     object\n",
       "victima_tipo                 object\n",
       "hecho_provincia              object\n",
       "hecho_modalidad_comisiva     object\n",
       "hecho_fecha                  object\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Tipos de datos por columna\n",
    "df2.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a9519991",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cambio de tipo de dato\n",
    "df2[\"hecho_fecha\"] = pd.to_datetime(df2[\"hecho_fecha\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ab3dac29",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "999.0\n"
     ]
    }
   ],
   "source": [
    "#Analisis columna victima_edad \n",
    "print(max(df2.victima_edad))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dc390424",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      victima_edad victima_identidad_genero victima_tipo hecho_provincia  \\\n",
      "930          999.0                    MUJER    PRINCIPAL         Tucumán   \n",
      "1019         999.0                    MUJER    PRINCIPAL             NaN   \n",
      "350           99.0                    MUJER    PRINCIPAL           Chaco   \n",
      "1227          90.0                    MUJER    PRINCIPAL         Córdoba   \n",
      "740           90.0                    MUJER    VINCULADO             NaN   \n",
      "...            ...                      ...          ...             ...   \n",
      "1157           NaN              TRANSGENERO    PRINCIPAL    Buenos Aires   \n",
      "1216           NaN                    MUJER    PRINCIPAL           Salta   \n",
      "1282           NaN              TRANSGENERO    PRINCIPAL           Salta   \n",
      "1292           NaN              TRANSGENERO    PRINCIPAL    Buenos Aires   \n",
      "1298           NaN              TRANSGENERO    PRINCIPAL         Tucumán   \n",
      "\n",
      "     hecho_modalidad_comisiva hecho_fecha  \n",
      "930                    GOLPES  2014-06-22  \n",
      "1019                      NaN         NaT  \n",
      "350           DISPARO DE BALA  2019-05-14  \n",
      "1227          ACUCHILLAMIENTO  2016-11-04  \n",
      "740           ACUCHILLAMIENTO  2016-10-23  \n",
      "...                       ...         ...  \n",
      "1157            DEGOLLAMIENTO  2017-07-05  \n",
      "1216                  ASFIXIA  2018-03-20  \n",
      "1282                   GOLPES  2019-01-28  \n",
      "1292          DISPARO DE BALA  2019-02-03  \n",
      "1298          ACUCHILLAMIENTO  2018-01-13  \n",
      "\n",
      "[1325 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "#Encontrar las filas con valores extremos\n",
    "df_ordenado = df2.sort_values(by=\"victima_edad\", ascending=False)\n",
    "print(df_ordenado)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "36d9282c",
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>victima_edad</th>\n",
       "      <th>victima_identidad_genero</th>\n",
       "      <th>victima_tipo</th>\n",
       "      <th>hecho_provincia</th>\n",
       "      <th>hecho_modalidad_comisiva</th>\n",
       "      <th>hecho_fecha</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>47.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Río Negro</td>\n",
       "      <td>GOLPES</td>\n",
       "      <td>2014-11-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.0</td>\n",
       "      <td>HOMBRE</td>\n",
       "      <td>VINCULADO</td>\n",
       "      <td>Córdoba</td>\n",
       "      <td>ACUCHILLAMIENTO</td>\n",
       "      <td>2015-08-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Santa Fe</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2014-11-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>QUEMADURAS</td>\n",
       "      <td>2016-01-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Neuquen</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2016-01-24</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1320</th>\n",
       "      <td>44.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Mendoza</td>\n",
       "      <td>DISPARO DE BALA</td>\n",
       "      <td>2019-03-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>54.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>OTROS</td>\n",
       "      <td>2019-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>37.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Ciudad Autónoma de Bs.As.</td>\n",
       "      <td>DESCUARTIZAMIENTO</td>\n",
       "      <td>2019-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1323</th>\n",
       "      <td>59.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>APUÑALAMIENTO</td>\n",
       "      <td>2019-03-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1324</th>\n",
       "      <td>59.0</td>\n",
       "      <td>MUJER</td>\n",
       "      <td>PRINCIPAL</td>\n",
       "      <td>Catamarca</td>\n",
       "      <td>GOLPES</td>\n",
       "      <td>2019-03-27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1323 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      victima_edad victima_identidad_genero victima_tipo  \\\n",
       "0             47.0                    MUJER    PRINCIPAL   \n",
       "1              7.0                   HOMBRE    VINCULADO   \n",
       "2             18.0                    MUJER    PRINCIPAL   \n",
       "3             46.0                    MUJER    PRINCIPAL   \n",
       "4             27.0                    MUJER    PRINCIPAL   \n",
       "...            ...                      ...          ...   \n",
       "1320          44.0                    MUJER    PRINCIPAL   \n",
       "1321          54.0                    MUJER    PRINCIPAL   \n",
       "1322          37.0                    MUJER    PRINCIPAL   \n",
       "1323          59.0                    MUJER    PRINCIPAL   \n",
       "1324          59.0                    MUJER    PRINCIPAL   \n",
       "\n",
       "                hecho_provincia hecho_modalidad_comisiva hecho_fecha  \n",
       "0                     Río Negro                   GOLPES  2014-11-20  \n",
       "1                       Córdoba          ACUCHILLAMIENTO  2015-08-04  \n",
       "2                      Santa Fe          DISPARO DE BALA  2014-11-02  \n",
       "3                           NaN               QUEMADURAS  2016-01-22  \n",
       "4                       Neuquen          DISPARO DE BALA  2016-01-24  \n",
       "...                         ...                      ...         ...  \n",
       "1320                    Mendoza          DISPARO DE BALA  2019-03-14  \n",
       "1321               Buenos Aires                    OTROS  2019-03-17  \n",
       "1322  Ciudad Autónoma de Bs.As.        DESCUARTIZAMIENTO  2019-03-17  \n",
       "1323               Buenos Aires            APUÑALAMIENTO  2019-03-16  \n",
       "1324                  Catamarca                   GOLPES  2019-03-27  \n",
       "\n",
       "[1323 rows x 6 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Eliminar filas\n",
    "df2.drop([930, 1019], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "d17c39e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Descarga csv limpio para su uso externo\n",
    "df2.to_csv(\"Data_Femicidios.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ecdd766b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    23.0\n",
       "1    25.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analisis estadistico - Moda\n",
    "moda = df2[\"victima_edad\"].mode()\n",
    "moda"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bad93da",
   "metadata": {},
   "source": [
    "Grafica por Provincia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "85ac4133",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Buenos Aires                 402\n",
       "Córdoba                      133\n",
       "Santa Fe                      92\n",
       "Salta                         67\n",
       "Mendoza                       63\n",
       "Santiago del Estero           58\n",
       "Entre Ríos                    56\n",
       "Misiones                      52\n",
       "Chaco                         51\n",
       "Ciudad Autónoma de Bs.As.     45\n",
       "Tucumán                       38\n",
       "Corrientes                    37\n",
       "Jujuy                         28\n",
       "Chubut                        24\n",
       "Neuquen                       22\n",
       "Río Negro                     21\n",
       "Catamarca                     16\n",
       "Formosa                       15\n",
       "San Juan                      12\n",
       "San Luis                      11\n",
       "Santa Cruz                     7\n",
       "La Pampa                       7\n",
       "La Rioja                       6\n",
       "Tierra del Fuego               4\n",
       "Name: hecho_provincia, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Conteo de casos por Provincia\n",
    "conteo = df2[\"hecho_provincia\"].value_counts()\n",
    "conteo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9439df54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Empezar a graficarlo.\n",
    "conteo.plot(kind=\"bar\")\n",
    "\n",
    "#Configurar ejes y titulo.\n",
    "plt.xlabel(\"Provincias\")\n",
    "plt.ylabel(\"Cantidad\")\n",
    "plt.title(\"Casos por Provincia\")\n",
    "\n",
    "#Mostrar Grafico.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3218dd91",
   "metadata": {},
   "source": [
    "Grafica Modalidad Comisiva."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a0f249c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DISPARO DE BALA      310\n",
       "ACUCHILLAMIENTO      270\n",
       "GOLPES               214\n",
       "ESTRANGULAMIENTO      77\n",
       "QUEMADURAS            76\n",
       "APUÑALAMIENTO         71\n",
       "ASFIXIA               47\n",
       "DEGOLLAMIENTO         31\n",
       "OTROS                 29\n",
       "AHORCAMIENTO          24\n",
       "ABUSO SEXUAL          21\n",
       "DESCUARTIZAMIENTO     13\n",
       "ATROPELLAMIENTO        5\n",
       "ENVENENAMIENTO         4\n",
       "AHOGAMIENTO            3\n",
       "DESBARRANCAMIENTO      2\n",
       "Empalamiento           2\n",
       "SUICIDIO INDUCIDO      1\n",
       "Name: hecho_modalidad_comisiva, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Conteo de la modalidad comisiva\n",
    "hechos = df2[\"hecho_modalidad_comisiva\"].value_counts()\n",
    "hechos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f98fb894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Empezar a graficarlo\n",
    "hechos.plot(kind='bar')\n",
    "\n",
    "# Configurar los ejes y título\n",
    "plt.xlabel('Valores')\n",
    "plt.ylabel('Hechos')\n",
    "plt.title('Modalidad Comisiva')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "239ba07c",
   "metadata": {},
   "source": [
    "Grafica Genero de las Victimas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f8979e8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MUJER          1173\n",
       "HOMBRE           49\n",
       "TRANSGENERO      37\n",
       "Name: victima_identidad_genero, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analisis Genero de las victimas\n",
    "genero = df2[\"victima_identidad_genero\"].value_counts()\n",
    "genero"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "302baa98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Empezar a graficarlo\n",
    "genero.plot(kind='pie', )\n",
    "\n",
    "# Configurar los ejes y título\n",
    "\n",
    "plt.title('Genero de la victima')\n",
    "\n",
    "# Mostrar el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a35ca5b0",
   "metadata": {},
   "source": [
    "Analisis Años"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "0aaa9075",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019\n",
      "2008\n",
      "2017    274\n",
      "2016    234\n",
      "2015    203\n",
      "2014    185\n",
      "2013    154\n",
      "2018    153\n",
      "2019     77\n",
      "2012      7\n",
      "2008      1\n",
      "2009      1\n",
      "Freq: A-DEC, Name: hecho_fecha, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#Crear Variable para analisis\n",
    "anio_hecho = pd.to_datetime(df2[\"hecho_fecha\"]).dt.to_period(\"Y\")\n",
    "\n",
    "#Analisis año max que se registro\n",
    "print(anio_hecho.max())\n",
    "\n",
    "#Analisis año min que se registro\n",
    "print(anio_hecho.min())\n",
    "\n",
    "#Analisis Moda\n",
    "print(anio_hecho.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f1b920c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}