Aircraft Incident_Iriarte Leonardo(v2).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ACCIDENTES, FALLAS Y SECUESTROS DE AERONAVES\n",
    "\n",
    "Base de datos extraída de [Kaggle](https://www.kaggle.com/datasets/deepcontractor/aircraft-accidents-failures-hijacks-dataset), compartida por el usuario DEEP CONTRACTOR, actualizada por última vez hace 2 años aproximadamente.\n",
    "\n",
    "La base de datos especifica datos sobre accidentes y secuestros en todo el mundo de aviones de pasajeros (más de 12 pasajeros), aviones corporativos y aviones de transporte militar desde 1919 hasta 2022.\n",
    "\n",
    "El csv archivo fue descargado y re subido a una cuenta Google Drive personal, se encuentra en el siguiente siguiente link:\n",
    "[Aircraft Inicident Dataset](https://drive.google.com/file/d/1WrnGcWClZBeUkcIT_erMRAeBTzCmxmL-/view?usp=sharing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Incident_Date</th>\n",
       "      <th>Aircaft_Model</th>\n",
       "      <th>Aircaft_Operator</th>\n",
       "      <th>Aircaft_Nature</th>\n",
       "      <th>Incident_Category</th>\n",
       "      <th>Incident_Cause(es)</th>\n",
       "      <th>Incident_Location</th>\n",
       "      <th>Aircaft_Damage_Type</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>...</th>\n",
       "      <th>Onboard_Crew</th>\n",
       "      <th>Onboard_Passengers</th>\n",
       "      <th>Onboard_Total</th>\n",
       "      <th>Fatalities</th>\n",
       "      <th>Aircaft_First_Flight</th>\n",
       "      <th>Aircraft_Phase</th>\n",
       "      <th>Departure_Airport</th>\n",
       "      <th>Destination_Airport</th>\n",
       "      <th>Ground_Casualties</th>\n",
       "      <th>Collision_Casualties</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aircaft_Registration</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ZS-NRJ</th>\n",
       "      <td>03-JAN-2022</td>\n",
       "      <td>British Aerospace 4121 Jetstream 41</td>\n",
       "      <td>SA Airlink</td>\n",
       "      <td>Domestic Non Scheduled Passenger</td>\n",
       "      <td>Accident | repairable-damage</td>\n",
       "      <td>Airplane - Engines, Airplane - Engines - Prop/...</td>\n",
       "      <td>near Venetia Mine...</td>\n",
       "      <td>Substantial</td>\n",
       "      <td>Monday 3 January 2022</td>\n",
       "      <td>08:10</td>\n",
       "      <td>...</td>\n",
       "      <td>Fatalities: 0 / Occupants: 3</td>\n",
       "      <td>Fatalities: 0 / Occupants: 4</td>\n",
       "      <td>Fatalities: 0 / Occupants: 7</td>\n",
       "      <td>0</td>\n",
       "      <td>1995-05-19  (26 years 8 months)</td>\n",
       "      <td>Landing (LDG)</td>\n",
       "      <td>Johannesburg-O.R. Tambo International Airport ...</td>\n",
       "      <td>Venetia Mine Airport (FAVM) , South Africa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HR-AYY</th>\n",
       "      <td>04-JAN-2022</td>\n",
       "      <td>British Aerospace 3101 Jetstream 31</td>\n",
       "      <td>LANHSA</td>\n",
       "      <td>Domestic Scheduled Passenger</td>\n",
       "      <td>Accident | repairable-damage</td>\n",
       "      <td>Airplane - Undercarriage, Airplane - Undercarr...</td>\n",
       "      <td>Roatán-Juan ...</td>\n",
       "      <td>Substantial</td>\n",
       "      <td>Tuesday 4 January 2022</td>\n",
       "      <td>ca 12:00</td>\n",
       "      <td>...</td>\n",
       "      <td>Fatalities: 0 / Occupants:</td>\n",
       "      <td>Fatalities: 0 / Occupants:</td>\n",
       "      <td>Fatalities: 0 / Occupants: 19</td>\n",
       "      <td>0</td>\n",
       "      <td>1985</td>\n",
       "      <td>Landing (LDG)</td>\n",
       "      <td>La Ceiba-Goloson International Airport (LCE/MH...</td>\n",
       "      <td>Roatán-Juan Manuel Gálvez International Airpor...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EP-CAP</th>\n",
       "      <td>05-JAN-2022</td>\n",
       "      <td>Boeing 737-4H6</td>\n",
       "      <td>Caspian Airlines</td>\n",
       "      <td>Domestic Scheduled Passenger</td>\n",
       "      <td>Accident | repairable-damage</td>\n",
       "      <td>Airplane - Undercarriage, Airplane - Undercarr...</td>\n",
       "      <td>Isfahan-Shah...</td>\n",
       "      <td>Substantial</td>\n",
       "      <td>Wednesday 5 January 2022</td>\n",
       "      <td>17:07</td>\n",
       "      <td>...</td>\n",
       "      <td>Fatalities: 0 / Occupants:</td>\n",
       "      <td>Fatalities: 0 / Occupants:</td>\n",
       "      <td>Fatalities: 0 / Occupants: 116</td>\n",
       "      <td>0</td>\n",
       "      <td>1992-09-18  (29 years 4 months)</td>\n",
       "      <td>Landing (LDG)</td>\n",
       "      <td>Mashhad Airport (MHD/OIMM) , Iran</td>\n",
       "      <td>Isfahan-Shahid Beheshti Airport (IFN/OIFM) , Iran</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RA-64032</th>\n",
       "      <td>08-JAN-2022</td>\n",
       "      <td>Tupolev Tu-204-100C</td>\n",
       "      <td>Cainiao, opb Aviastar-TU</td>\n",
       "      <td>Cargo</td>\n",
       "      <td>Accident | hull-loss</td>\n",
       "      <td>Cargo - Fire/smoke, Result - Damaged on the gr...</td>\n",
       "      <td>Hangzhou-Xia...</td>\n",
       "      <td>Destroyed</td>\n",
       "      <td>Saturday 8 January 2022</td>\n",
       "      <td>04:40</td>\n",
       "      <td>...</td>\n",
       "      <td>Fatalities: 0 / Occupants: 8</td>\n",
       "      <td>Fatalities: 0 / Occupants: 0</td>\n",
       "      <td>Fatalities: 0 / Occupants: 8</td>\n",
       "      <td>0</td>\n",
       "      <td>2002-07-18  (19 years 6 months)</td>\n",
       "      <td>Standing (STD)</td>\n",
       "      <td>Hangzhou-Xiaoshan International Airport (HGH/Z...</td>\n",
       "      <td>Novosibirsk-Tolmachevo Airport (OVB/UNNT) , Ru...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>12-JAN-2022</td>\n",
       "      <td>Beechcraft 200 Super King Air</td>\n",
       "      <td>private</td>\n",
       "      <td>Illegal Flight</td>\n",
       "      <td>Criminal occurrence (sabotage, shoot down) | h...</td>\n",
       "      <td>Result - Damaged on the ground</td>\n",
       "      <td>Machakilha, ...</td>\n",
       "      <td>Damaged beyond repair</td>\n",
       "      <td>Wednesday 12 January 2022</td>\n",
       "      <td>c. 02:00</td>\n",
       "      <td>...</td>\n",
       "      <td>Fatalities: 0 / Occupants: 0</td>\n",
       "      <td>Fatalities: 0 / Occupants: 0</td>\n",
       "      <td>Fatalities: 0 / Occupants: 0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Standing (STD)</td>\n",
       "      <td>?</td>\n",
       "      <td>?</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Incident_Date                        Aircaft_Model  \\\n",
       "Aircaft_Registration                                                      \n",
       "ZS-NRJ                 03-JAN-2022  British Aerospace 4121 Jetstream 41   \n",
       "HR-AYY                 04-JAN-2022  British Aerospace 3101 Jetstream 31   \n",
       "EP-CAP                 05-JAN-2022                       Boeing 737-4H6   \n",
       "RA-64032               08-JAN-2022                  Tupolev Tu-204-100C   \n",
       "NaN                    12-JAN-2022        Beechcraft 200 Super King Air   \n",
       "\n",
       "                              Aircaft_Operator  \\\n",
       "Aircaft_Registration                             \n",
       "ZS-NRJ                              SA Airlink   \n",
       "HR-AYY                                  LANHSA   \n",
       "EP-CAP                        Caspian Airlines   \n",
       "RA-64032              Cainiao, opb Aviastar-TU   \n",
       "NaN                                    private   \n",
       "\n",
       "                                        Aircaft_Nature  \\\n",
       "Aircaft_Registration                                     \n",
       "ZS-NRJ                Domestic Non Scheduled Passenger   \n",
       "HR-AYY                    Domestic Scheduled Passenger   \n",
       "EP-CAP                    Domestic Scheduled Passenger   \n",
       "RA-64032                                         Cargo   \n",
       "NaN                                     Illegal Flight   \n",
       "\n",
       "                                                      Incident_Category  \\\n",
       "Aircaft_Registration                                                      \n",
       "ZS-NRJ                                     Accident | repairable-damage   \n",
       "HR-AYY                                     Accident | repairable-damage   \n",
       "EP-CAP                                     Accident | repairable-damage   \n",
       "RA-64032                                           Accident | hull-loss   \n",
       "NaN                   Criminal occurrence (sabotage, shoot down) | h...   \n",
       "\n",
       "                                                     Incident_Cause(es)  \\\n",
       "Aircaft_Registration                                                      \n",
       "ZS-NRJ                Airplane - Engines, Airplane - Engines - Prop/...   \n",
       "HR-AYY                Airplane - Undercarriage, Airplane - Undercarr...   \n",
       "EP-CAP                Airplane - Undercarriage, Airplane - Undercarr...   \n",
       "RA-64032              Cargo - Fire/smoke, Result - Damaged on the gr...   \n",
       "NaN                                      Result - Damaged on the ground   \n",
       "\n",
       "                         Incident_Location    Aircaft_Damage_Type  \\\n",
       "Aircaft_Registration                                                \n",
       "ZS-NRJ                near Venetia Mine...            Substantial   \n",
       "HR-AYY                     Roatán-Juan ...            Substantial   \n",
       "EP-CAP                     Isfahan-Shah...            Substantial   \n",
       "RA-64032                   Hangzhou-Xia...              Destroyed   \n",
       "NaN                        Machakilha, ...  Damaged beyond repair   \n",
       "\n",
       "                                           Date      Time  ...  \\\n",
       "Aircaft_Registration                                       ...   \n",
       "ZS-NRJ                    Monday 3 January 2022     08:10  ...   \n",
       "HR-AYY                   Tuesday 4 January 2022  ca 12:00  ...   \n",
       "EP-CAP                 Wednesday 5 January 2022     17:07  ...   \n",
       "RA-64032                Saturday 8 January 2022     04:40  ...   \n",
       "NaN                   Wednesday 12 January 2022  c. 02:00  ...   \n",
       "\n",
       "                                      Onboard_Crew  \\\n",
       "Aircaft_Registration                                 \n",
       "ZS-NRJ                Fatalities: 0 / Occupants: 3   \n",
       "HR-AYY                  Fatalities: 0 / Occupants:   \n",
       "EP-CAP                  Fatalities: 0 / Occupants:   \n",
       "RA-64032              Fatalities: 0 / Occupants: 8   \n",
       "NaN                   Fatalities: 0 / Occupants: 0   \n",
       "\n",
       "                                Onboard_Passengers  \\\n",
       "Aircaft_Registration                                 \n",
       "ZS-NRJ                Fatalities: 0 / Occupants: 4   \n",
       "HR-AYY                  Fatalities: 0 / Occupants:   \n",
       "EP-CAP                  Fatalities: 0 / Occupants:   \n",
       "RA-64032              Fatalities: 0 / Occupants: 0   \n",
       "NaN                   Fatalities: 0 / Occupants: 0   \n",
       "\n",
       "                                       Onboard_Total Fatalities  \\\n",
       "Aircaft_Registration                                              \n",
       "ZS-NRJ                  Fatalities: 0 / Occupants: 7          0   \n",
       "HR-AYY                 Fatalities: 0 / Occupants: 19          0   \n",
       "EP-CAP                Fatalities: 0 / Occupants: 116          0   \n",
       "RA-64032                Fatalities: 0 / Occupants: 8          0   \n",
       "NaN                     Fatalities: 0 / Occupants: 0          0   \n",
       "\n",
       "                                 Aircaft_First_Flight  Aircraft_Phase  \\\n",
       "Aircaft_Registration                                                    \n",
       "ZS-NRJ                1995-05-19  (26 years 8 months)   Landing (LDG)   \n",
       "HR-AYY                                           1985   Landing (LDG)   \n",
       "EP-CAP                1992-09-18  (29 years 4 months)   Landing (LDG)   \n",
       "RA-64032              2002-07-18  (19 years 6 months)  Standing (STD)   \n",
       "NaN                                               NaN  Standing (STD)   \n",
       "\n",
       "                                                      Departure_Airport  \\\n",
       "Aircaft_Registration                                                      \n",
       "ZS-NRJ                Johannesburg-O.R. Tambo International Airport ...   \n",
       "HR-AYY                La Ceiba-Goloson International Airport (LCE/MH...   \n",
       "EP-CAP                                Mashhad Airport (MHD/OIMM) , Iran   \n",
       "RA-64032              Hangzhou-Xiaoshan International Airport (HGH/Z...   \n",
       "NaN                                                                   ?   \n",
       "\n",
       "                                                    Destination_Airport  \\\n",
       "Aircaft_Registration                                                      \n",
       "ZS-NRJ                       Venetia Mine Airport (FAVM) , South Africa   \n",
       "HR-AYY                Roatán-Juan Manuel Gálvez International Airpor...   \n",
       "EP-CAP                Isfahan-Shahid Beheshti Airport (IFN/OIFM) , Iran   \n",
       "RA-64032              Novosibirsk-Tolmachevo Airport (OVB/UNNT) , Ru...   \n",
       "NaN                                                                   ?   \n",
       "\n",
       "                     Ground_Casualties Collision_Casualties  \n",
       "Aircaft_Registration                                         \n",
       "ZS-NRJ                             NaN                  NaN  \n",
       "HR-AYY                             NaN                  NaN  \n",
       "EP-CAP                             NaN                  NaN  \n",
       "RA-64032                           NaN                  NaN  \n",
       "NaN                                NaN                  NaN  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "url = 'https://drive.google.com/uc?export=download&id=1WrnGcWClZBeUkcIT_erMRAeBTzCmxmL-'\n",
    "df = pd.read_csv(url, index_col=2)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(23519, 22)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Incident_Date',\n",
       " 'Aircaft_Model',\n",
       " 'Aircaft_Operator',\n",
       " 'Aircaft_Nature',\n",
       " 'Incident_Category',\n",
       " 'Incident_Cause(es)',\n",
       " 'Incident_Location',\n",
       " 'Aircaft_Damage_Type',\n",
       " 'Date',\n",
       " 'Time',\n",
       " 'Arit',\n",
       " 'Aircaft_Engines',\n",
       " 'Onboard_Crew',\n",
       " 'Onboard_Passengers',\n",
       " 'Onboard_Total',\n",
       " 'Fatalities',\n",
       " 'Aircaft_First_Flight',\n",
       " 'Aircraft_Phase',\n",
       " 'Departure_Airport',\n",
       " 'Destination_Airport',\n",
       " 'Ground_Casualties',\n",
       " 'Collision_Casualties']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Incident_Date           object\n",
       "Aircaft_Model           object\n",
       "Aircaft_Operator        object\n",
       "Aircaft_Nature          object\n",
       "Incident_Category       object\n",
       "Incident_Cause(es)      object\n",
       "Incident_Location       object\n",
       "Aircaft_Damage_Type     object\n",
       "Date                    object\n",
       "Time                    object\n",
       "Arit                    object\n",
       "Aircaft_Engines         object\n",
       "Onboard_Crew            object\n",
       "Onboard_Passengers      object\n",
       "Onboard_Total           object\n",
       "Fatalities               int64\n",
       "Aircaft_First_Flight    object\n",
       "Aircraft_Phase          object\n",
       "Departure_Airport       object\n",
       "Destination_Airport     object\n",
       "Ground_Casualties       object\n",
       "Collision_Casualties    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Incident_Date               0\n",
       "Aircaft_Model               0\n",
       "Aircaft_Operator            0\n",
       "Aircaft_Nature              0\n",
       "Incident_Category           0\n",
       "Incident_Cause(es)          0\n",
       "Incident_Location         932\n",
       "Aircaft_Damage_Type       768\n",
       "Date                        0\n",
       "Time                    14316\n",
       "Arit                        0\n",
       "Aircaft_Engines         12883\n",
       "Onboard_Crew                0\n",
       "Onboard_Passengers          0\n",
       "Onboard_Total               0\n",
       "Fatalities                  0\n",
       "Aircaft_First_Flight     5488\n",
       "Aircraft_Phase              0\n",
       "Departure_Airport           0\n",
       "Destination_Airport         0\n",
       "Ground_Casualties       23172\n",
       "Collision_Casualties    23227\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Definición de columnas:\n",
    "\n",
    "01. INCIDENT_DATE: Fecha del accidente/incidente.\n",
    "02. AIRCRAFT_REGISTRATION: Registro de la aeronave.\n",
    "03. AIRCRAFT_OPERATOR: Empresa operadora de la aeronave.\n",
    "04. AIRCRAFT_NATURE: Tipo de utilidad de aeroave.\n",
    "05. INCIDENT_CATEGORY: Categoría o tipo de accidente/incidente.\n",
    "06. INCIDENT_CAUSE(ES): Causa/s del accidente/incidente.\n",
    "07. INCIDENT_LOCATION: Breve descripción de la zona donde ocurrió el accidente/incidente.\n",
    "08. AIRCRAFT_DAMAGE_TYPE: Tipo de daños en la aeronave.\n",
    "09. DATE: Fecha del accidente/incidente (especifica el día de la semana)\n",
    "10. TIME: Hora del accidente/incidente.\n",
    "11. ARIT: -término desconocido- la información de la columna duplica la de INCIDENT_DATE.\n",
    "12. AIRCRAFT_ENGINES: Tipo de motores de la aeronave.\n",
    "13. ONBOARD_CREW: Tripulación a bordo, cuantifica el total de muertes sobre el total de ocupaciones.\n",
    "14. ONBOARD_PASSENGERS: Pasajeros a bordo, cuantifica el total de muertes sobre el total de ocupaciones.\n",
    "15. ONBOARD_TOTAL: Total de personas a bordo, cuantifica el total de muertes sobre el total de ocupaciones.\n",
    "16. FATALITIES: Total de muertes.\n",
    "17. AIRCRAFT_FIRST_FLIGHT: Primer vuelo realizado por la aeronave.\n",
    "18. AIRCRAFT_PHASE: Fase de vuelo (por ej: aterrizando, en ruta, en ascenso, etc).\n",
    "19. DEPARTURE_AIRPORT: Aeropuerto de salida.\n",
    "20. DESTINATION_AIRPORT: Aeropuerto de destino.\n",
    "21. GROUND_CASUALTIES: Víctimas en suelo.\n",
    "22. COLLISION_CASUALTIES: Víctimas por colisión."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CORRECCIONES Y MODIFICACIONES:\n",
    "\n",
    "A continuación se procede a corregir y modelar el dataframe con el fin de obtener una mejor utilidad en funciones de cálculos y gráficos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Con el fin de adaptar la columna \"Incident_Date\" en formato fecha, se encuentra que hay algunos registros que tienen caracteres erróneos, específicamente \"??\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     Incident_Date             Aircaft_Model  \\\n",
      "Aircaft_Registration                                           \n",
      "N628BS                 ??-???-2016     Cessna 500 Citation I   \n",
      "UR-33587               ??-???-2014             Antonov An-2R   \n",
      "XA-JWM                 ??-???-2014              Learjet 60XR   \n",
      "OY-JJA                 ??-???-2013     Raytheon Hawker 800XP   \n",
      "3D-SPL                 ??-???-2012              Let L-410UVP   \n",
      "...                            ...                       ...   \n",
      "F-AQBH                 ??-???-1940           Dewoitine D.338   \n",
      "NR11732                ??-???-1936  Curtiss AT-32C Condor II   \n",
      "NC9609                 ??-???-1934     Ford 4-AT-B Tri-Motor   \n",
      "NaN                    ??-???-1930     Junkers JuG-1W (G.24)   \n",
      "NaN                    ??-???-1923             Aeromarine 75   \n",
      "\n",
      "                                Aircaft_Operator Aircaft_Nature  \\\n",
      "Aircaft_Registration                                              \n",
      "N628BS                        Chippewa Aerospace        Unknown   \n",
      "UR-33587                             Ukraerorukh              -   \n",
      "XA-JWM                                   Unknown              -   \n",
      "OY-JJA                                   Sun-Air        Unknown   \n",
      "3D-SPL                           ETA Air Charter        Unknown   \n",
      "...                                          ...            ...   \n",
      "F-AQBH                                Air France        Unknown   \n",
      "NR11732               Cóndor Peruana de Aviación       Military   \n",
      "NC9609                                   Private              -   \n",
      "NaN                                    Soviet AF       Military   \n",
      "NaN                           Aeromarine Airways              -   \n",
      "\n",
      "                                                      Incident_Category  \\\n",
      "Aircaft_Registration                                                      \n",
      "N628BS                                             Accident | hull-loss   \n",
      "UR-33587              other occurrence (ground fire, sabotage) | hul...   \n",
      "XA-JWM                other occurrence (ground fire, sabotage) | hul...   \n",
      "OY-JJA                                             Accident | hull-loss   \n",
      "3D-SPL                                   occurrence unknown | hull-loss   \n",
      "...                                                                 ...   \n",
      "F-AQBH                                             Accident | hull-loss   \n",
      "NR11732                                            Accident | hull-loss   \n",
      "NC9609                other occurrence (ground fire, sabotage) | hul...   \n",
      "NaN                                                Accident | hull-loss   \n",
      "NaN                   other occurrence (ground fire, sabotage) | hul...   \n",
      "\n",
      "                                                 Incident_Cause(es)  \\\n",
      "Aircaft_Registration                                                  \n",
      "N628BS                Collision - Object, Collision - Object - Bird   \n",
      "UR-33587                             Result - Damaged on the ground   \n",
      "XA-JWM                               Result - Damaged on the ground   \n",
      "OY-JJA                  Fire - Fire, Result - Damaged on the ground   \n",
      "3D-SPL                                             Info-Unavailable   \n",
      "...                                                             ...   \n",
      "F-AQBH                                             Info-Unavailable   \n",
      "NR11732                                            Info-Unavailable   \n",
      "NC9609                               Result - Damaged on the ground   \n",
      "NaN                                                Info-Unavailable   \n",
      "NaN                                  Result - Damaged on the ground   \n",
      "\n",
      "                     Incident_Location    Aircaft_Damage_Type         Date  \\\n",
      "Aircaft_Registration                                                         \n",
      "N628BS                         unknown  Damaged beyond repair  xx xxx 2016   \n",
      "UR-33587               Lugansk Airp...  Damaged beyond repair  xx xxx 2014   \n",
      "XA-JWM                 Fort Lauderd...            Substantial  xx xxx 2014   \n",
      "OY-JJA                 Thisted Airp...  Damaged beyond repair  xx xxx 2013   \n",
      "3D-SPL                 Caia Airport...  Damaged beyond repair  xx xxx 2012   \n",
      "...                                ...                    ...          ...   \n",
      "F-AQBH                       Indochina  Damaged beyond repair  xx xxx 1940   \n",
      "NR11732                           Pias            Substantial  xx xxx 1936   \n",
      "NC9609                 Boca Chica, ...  Damaged beyond repair  xx xxx 1934   \n",
      "NaN                                NaN  Damaged beyond repair  xx xxx 1930   \n",
      "NaN                     Havana harbour  Damaged beyond repair  xx xxx 1923   \n",
      "\n",
      "                     Time  ...                  Onboard_Crew  \\\n",
      "Aircaft_Registration       ...                                 \n",
      "N628BS                NaN  ...    Fatalities: 0 / Occupants:   \n",
      "UR-33587              NaN  ...  Fatalities: 0 / Occupants: 0   \n",
      "XA-JWM                NaN  ...    Fatalities: 0 / Occupants:   \n",
      "OY-JJA                NaN  ...    Fatalities: 0 / Occupants:   \n",
      "3D-SPL                NaN  ...     Fatalities:  / Occupants:   \n",
      "...                   ...  ...                           ...   \n",
      "F-AQBH                NaN  ...     Fatalities:  / Occupants:   \n",
      "NR11732               NaN  ...     Fatalities:  / Occupants:   \n",
      "NC9609                NaN  ...  Fatalities: 0 / Occupants: 0   \n",
      "NaN                   NaN  ...     Fatalities:  / Occupants:   \n",
      "NaN                   NaN  ...  Fatalities: 0 / Occupants: 0   \n",
      "\n",
      "                                Onboard_Passengers  \\\n",
      "Aircaft_Registration                                 \n",
      "N628BS                  Fatalities: 0 / Occupants:   \n",
      "UR-33587              Fatalities: 0 / Occupants: 0   \n",
      "XA-JWM                Fatalities: 0 / Occupants: 0   \n",
      "OY-JJA                  Fatalities: 0 / Occupants:   \n",
      "3D-SPL                   Fatalities:  / Occupants:   \n",
      "...                                            ...   \n",
      "F-AQBH                   Fatalities:  / Occupants:   \n",
      "NR11732                  Fatalities:  / Occupants:   \n",
      "NC9609                Fatalities: 0 / Occupants: 0   \n",
      "NaN                      Fatalities:  / Occupants:   \n",
      "NaN                   Fatalities: 0 / Occupants: 0   \n",
      "\n",
      "                                     Onboard_Total Fatalities  \\\n",
      "Aircaft_Registration                                            \n",
      "N628BS                  Fatalities: 0 / Occupants:          0   \n",
      "UR-33587              Fatalities: 0 / Occupants: 0          0   \n",
      "XA-JWM                  Fatalities: 0 / Occupants:          0   \n",
      "OY-JJA                  Fatalities: 0 / Occupants:          0   \n",
      "3D-SPL                   Fatalities:  / Occupants:          0   \n",
      "...                                            ...        ...   \n",
      "F-AQBH                   Fatalities:  / Occupants:          0   \n",
      "NR11732                  Fatalities:  / Occupants:          0   \n",
      "NC9609                Fatalities: 0 / Occupants: 0          0   \n",
      "NaN                      Fatalities:  / Occupants:          0   \n",
      "NaN                   Fatalities: 0 / Occupants: 0          0   \n",
      "\n",
      "                                   Aircaft_First_Flight  Aircraft_Phase  \\\n",
      "Aircaft_Registration                                                      \n",
      "N628BS                                             1972   Unknown (UNK)   \n",
      "UR-33587                                            NaN  Standing (STD)   \n",
      "XA-JWM                                             2012  Standing (STD)   \n",
      "OY-JJA                                             2000  Standing (STD)   \n",
      "3D-SPL                                             1985   Unknown (UNK)   \n",
      "...                                                 ...             ...   \n",
      "F-AQBH                                             1938   Unknown (UNK)   \n",
      "NR11732                                             NaN   Unknown (UNK)   \n",
      "NC9609                1928-11-09  (8075 years 8 months)  Standing (STD)   \n",
      "NaN                                                 NaN   Unknown (UNK)   \n",
      "NaN                                                 NaN  Standing (STD)   \n",
      "\n",
      "                     Departure_Airport Destination_Airport Ground_Casualties  \\\n",
      "Aircaft_Registration                                                           \n",
      "N628BS                               ?                   ?               NaN   \n",
      "UR-33587                             -                   -               NaN   \n",
      "XA-JWM                               -                   -               NaN   \n",
      "OY-JJA                               ?                   ?               NaN   \n",
      "3D-SPL                               ?                   ?               NaN   \n",
      "...                                ...                 ...               ...   \n",
      "F-AQBH                               ?                   ?               NaN   \n",
      "NR11732                              ?                   ?               NaN   \n",
      "NC9609                               -                   -               NaN   \n",
      "NaN                                  ?                   ?               NaN   \n",
      "NaN                                  -                   -               NaN   \n",
      "\n",
      "                     Collision_Casualties  \n",
      "Aircaft_Registration                       \n",
      "N628BS                                NaN  \n",
      "UR-33587                              NaN  \n",
      "XA-JWM                                NaN  \n",
      "OY-JJA                                NaN  \n",
      "3D-SPL                                NaN  \n",
      "...                                   ...  \n",
      "F-AQBH                                NaN  \n",
      "NR11732                               NaN  \n",
      "NC9609                                NaN  \n",
      "NaN                                   NaN  \n",
      "NaN                                   NaN  \n",
      "\n",
      "[246 rows x 22 columns]\n"
     ]
    }
   ],
   "source": [
    "campos_con_interrogantes = df[df['Incident_Date'].str.contains(r'\\?\\?\\?', na=False)]\n",
    "print(campos_con_interrogantes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dichos caracteres son omitidos a fin de filtrar las filas que cumplan el formato adecuado y luego se utiliza la función pd.to_datetime para convertir la columna \"Incident_Date\" en formato fecha."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df['Incident_Date'].str.match(r'\\d{2}-[A-Z]{3}-\\d{4}', na=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A continuación cambiamos el formato de la columna 'Incident-Date' a datetime y ejecutamos las visualizaciones para confirmar el formato asignado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "ZS-NRJ     2022-01-03\n",
       "HR-AYY     2022-01-04\n",
       "EP-CAP     2022-01-05\n",
       "RA-64032   2022-01-08\n",
       "NaN        2022-01-12\n",
       "              ...    \n",
       "G-EAMC     1920-02-25\n",
       "G-EAKE     1920-06-30\n",
       "G-EAMA     1920-12-14\n",
       "NaN        1919-08-02\n",
       "N123       1919-08-11\n",
       "Name: Incident_Date, Length: 23010, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Incident_Date'] = pd.to_datetime(df['Incident_Date'], format='%d-%b-%Y')\n",
    "df['Incident_Date']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Otra corrección es por los valores más altos, notamos otro error ya que el número final de la columna 'Fatalities' no coincide con la suma de la misma fila de la columna 'Onboard_Total'. Lo cual se procede a identificar y corregir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      Fatalities                   Onboard_Total\n",
      "Aircaft_Registration                                            \n",
      "N334AA                      1692  Fatalities: 92 / Occupants: 92\n",
      "N612UA                       965  Fatalities: 65 / Occupants: 65\n"
     ]
    }
   ],
   "source": [
    "top_valores = df['Fatalities'].nlargest(5).index\n",
    "top_onboard_total = df.loc[top_valores, ['Fatalities', 'Onboard_Total']]\n",
    "print(top_onboard_total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Fatalities'] = df['Fatalities'].replace(1692, 92)\n",
    "df['Fatalities'] = df['Fatalities'].replace(965, 65)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resultado de dicha corrección."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      Fatalities                   Onboard_Total\n",
      "Aircaft_Registration                                            \n",
      "N334AA                        92  Fatalities: 92 / Occupants: 92\n",
      "N612UA                        65  Fatalities: 65 / Occupants: 65\n"
     ]
    }
   ],
   "source": [
    "registros_especificos = df.loc[['N334AA', 'N612UA']]\n",
    "vista = registros_especificos[['Fatalities', 'Onboard_Total']]\n",
    "print(vista)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A modo de organización, creamos 2 columnas que especifican año y mes de la columna 'Incident_Date':\n",
    "- Sobre la columna Año, extraemos sólo el año de la columna 'Incident_Date'.\n",
    "- Sobre la columna Mes, asignamos y mostramos la abreviación textual de cada uno."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>Month</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aircaft_Registration</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ZS-NRJ</th>\n",
       "      <td>Ene</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HR-AYY</th>\n",
       "      <td>Ene</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EP-CAP</th>\n",
       "      <td>Ene</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RA-64032</th>\n",
       "      <td>Ene</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Ene</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G-EAMC</th>\n",
       "      <td>Feb</td>\n",
       "      <td>1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G-EAKE</th>\n",
       "      <td>Jun</td>\n",
       "      <td>1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G-EAMA</th>\n",
       "      <td>Dic</td>\n",
       "      <td>1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Ago</td>\n",
       "      <td>1919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N123</th>\n",
       "      <td>Ago</td>\n",
       "      <td>1919</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23010 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Month  Year\n",
       "Aircaft_Registration            \n",
       "ZS-NRJ                 Ene  2022\n",
       "HR-AYY                 Ene  2022\n",
       "EP-CAP                 Ene  2022\n",
       "RA-64032               Ene  2022\n",
       "NaN                    Ene  2022\n",
       "...                    ...   ...\n",
       "G-EAMC                 Feb  1920\n",
       "G-EAKE                 Jun  1920\n",
       "G-EAMA                 Dic  1920\n",
       "NaN                    Ago  1919\n",
       "N123                   Ago  1919\n",
       "\n",
       "[23010 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Year'] = df['Incident_Date'].dt.year\n",
    "df['Month'] = df['Incident_Date'].dt.month\n",
    "\n",
    "meses = {\n",
    "    1: 'Ene',\n",
    "    2: 'Feb',\n",
    "    3: 'Mar',\n",
    "    4: 'Abr',\n",
    "    5: 'May',\n",
    "    6: 'Jun',\n",
    "    7: 'Jul',\n",
    "    8: 'Ago',\n",
    "    9: 'Sep',\n",
    "    10: 'Oct',\n",
    "    11: 'Nov',\n",
    "    12: 'Dic'}\n",
    "    \n",
    "df['Month'] = df['Month'].map(meses)\n",
    "\n",
    "df[['Month', 'Year']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Modificamos los valores totales de la columna 'Onboard_Total' ya que tiene un formato repetitivo respecto a las 2 columnas anteriores y la posterior.\n",
    "Nos será de mayor utilidad si sólo mostrara un valor numérico de total de pasajeros y tripulación para luego hacer cálculos precisos con respecto a la columna 'Fatalities', que también es tipo int64."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "ZS-NRJ        7\n",
       "HR-AYY       19\n",
       "EP-CAP      116\n",
       "RA-64032      8\n",
       "NaN           0\n",
       "           ... \n",
       "G-EAMC        4\n",
       "G-EAKE        2\n",
       "G-EAMA        8\n",
       "NaN          14\n",
       "N123          7\n",
       "Name: Onboard_Total, Length: 23010, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def procesar_valor(valor):\n",
    "    \n",
    "    partes = valor.split('/ ')\n",
    "    if len(partes) > 1:\n",
    "        valor_final = partes[1]\n",
    "    else:\n",
    "        valor_final = partes[0]\n",
    "    \n",
    "    numeros = [int(s) for s in valor_final.split() if s.isdigit()]\n",
    "    \n",
    "    if len(numeros) > 0:\n",
    "        return numeros[-1]\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "df['Onboard_Total'] = df['Onboard_Total'].apply(procesar_valor)\n",
    "\n",
    "df['Onboard_Total']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agregamos la columna 'Flight_Type' la cual define con una función condicional si el país de la columna 'Departure_Airport' coincide con el país de la columna 'Destination_Airport' entonces devolverá el valor 'Domestic', caso contrario el valor será 'International' y se asignará 'nan' a los registros que poseen datos como '?' y '-'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "ZS-NRJ           Domestic\n",
       "HR-AYY           Domestic\n",
       "EP-CAP           Domestic\n",
       "RA-64032    International\n",
       "NaN                   NaN\n",
       "                ...      \n",
       "G-EAMC      International\n",
       "G-EAKE      International\n",
       "G-EAMA      International\n",
       "NaN              Domestic\n",
       "N123             Domestic\n",
       "Name: Flight_Type, Length: 23010, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def extract_country(text):\n",
    "    match = re.search(r',\\s([^,]+)$', text)\n",
    "    if match:\n",
    "        return match.group(1)\n",
    "    else:\n",
    "        return np.nan\n",
    "def determine_flight_type(row):\n",
    "    departure_country = extract_country(row['Departure_Airport'])\n",
    "    destination_country = extract_country(row['Destination_Airport'])\n",
    "    if pd.isna(departure_country) or pd.isna(destination_country):\n",
    "        return np.nan\n",
    "    if departure_country == destination_country:\n",
    "        return 'Domestic'\n",
    "    else:\n",
    "        return 'International'\n",
    "df['Flight_Type'] = df.apply(determine_flight_type, axis=1)\n",
    "\n",
    "df['Flight_Type']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cobre la columna 'Aircaft_First_Flight' se identifican diversidad de formatos de valores, donde a veces posee solo 4 dígitos que indican un año, en otros casos poseen una fecha completa y también pueden tener una referencia de edad por meses y/o años de antigüedad entre parentesis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "ZS-NRJ      1995-05-19  (26 years 8 months)\n",
       "HR-AYY                                 1985\n",
       "EP-CAP      1992-09-18  (29 years 4 months)\n",
       "RA-64032    2002-07-18  (19 years 6 months)\n",
       "NaN                                     NaN\n",
       "                         ...               \n",
       "G-EAMC                                  NaN\n",
       "G-EAKE                                 1919\n",
       "G-EAMA                                  NaN\n",
       "NaN                                    1919\n",
       "N123                 1918-11-11  (9 months)\n",
       "Name: Aircaft_First_Flight, Length: 23010, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Aircaft_First_Flight']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ingresamos un código de cálculo que nos permita extraer sólo los primeros 4 dígitos que indiquen el año del primer vuelo y luego restar dicho valor - el número existente en la columna 'Year' para devolver la edad de la aeronave al momento del suceso, en una columna nueva llamada 'Aircraft_Age'. Se agrega un condifinal que devuelva valor 0 en caso de que la columna 'Aircaft_First_Flight' no posea valores, sea NaN o tenga valor 0, para que en ésos casos entonces no realice la resta, sino que devuelva valor 0 en la columna nueva (de ésta manear evitamos posibles errores en los cuales, por ejemplo, veamos aeronaves con edad 1962)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "ZS-NRJ      27\n",
       "HR-AYY      37\n",
       "EP-CAP      30\n",
       "RA-64032    20\n",
       "NaN          0\n",
       "            ..\n",
       "G-EAMC       0\n",
       "G-EAKE       1\n",
       "G-EAMA       0\n",
       "NaN          0\n",
       "N123         1\n",
       "Name: Aircraft_Age, Length: 23010, dtype: int32"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def calcular_edad(row):\n",
    "    first_flight_year = str(row['Aircaft_First_Flight'])[:4]\n",
    "    if first_flight_year.isdigit() and int(first_flight_year) != 0:\n",
    "        return row['Year'] - int(first_flight_year)\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "# Aplicar la función a cada fila del DataFrame y crear la nueva columna 'Aircraft_Age'\n",
    "df['Aircraft_Age'] = df.apply(calcular_edad, axis=1).astype(int)\n",
    "\n",
    "df['Aircraft_Age']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Corremos un código de los valores más altos obtenidos en la nueva columna, con el fin de detectar posibles errores en caso de anomalías."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Aircaft_Registration\n",
       "HB-HOT      79\n",
       "HK-2820     77\n",
       "C-GJKM      77\n",
       "C-FKGL      76\n",
       "C-FKAL      76\n",
       "HK-2006     75\n",
       "N467KS      75\n",
       "N93012      75\n",
       "N437GB      75\n",
       "FAS116      75\n",
       "HK-3293     75\n",
       "HK-2494     74\n",
       "C-FKGL      74\n",
       "N1822M      73\n",
       "N47HL       73\n",
       "C-GEAJ      73\n",
       "HK-2663     72\n",
       "FAC-1658    71\n",
       "C-GTXW      71\n",
       "HK-4700     71\n",
       "Name: Aircraft_Age, dtype: int32"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Aircraft_Age'].nlargest(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CREACIÓN DE GRÁFICOS: DESPLIEGUE DE DATOS.\n",
    "\n",
    "A partir de ahora vamos a usar las funciones de librerías Matplotlib y Seaborn para exponer los datos en gráficos los cuales nos servirán para tener mejor visualizaciones de los mismos y a partir de ello, poder generar preguntas e hipótesis de interés."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el siguiente gráfico podremos ver la evolución de cantidad de casos registrados en un histograma.\n",
    "Se puede ver un aumento drástico en el período 1940-45, una tendencia de casos que se mantienen entre 200 y 300 casos hasta fines del 2010 (con un leve incremento a fines de los '60) y una marcada caída en 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conteo_por_año = df['Year'].value_counts().reset_index()\n",
    "conteo_por_año.columns = ['Año', 'Cantidad']\n",
    "\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.lineplot(data=conteo_por_año, x='Año', y='Cantidad')\n",
    "plt.xlabel('Año')\n",
    "plt.ylabel('Cantidad de Casos')\n",
    "plt.title('Evolución de Casos por Año')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El siguiente gráfico marca de forma generalizada que la cantidad de casos registrados sedan en su mayoría entre los meses de junio y julio, con excepciones entre el período 1920-30 y el año 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distrubución Anual según Mes')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=df, x=\"Year\", y=\"Month\")\n",
    "plt.title(\"Distrubución Anual según Mes\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el siguiente gráfico se pueden apreciar 2 tendencias bastante notables:\n",
    "1. Los vuelos domésticos o nacionales representan la mayoría de los casos registrados.\n",
    "2. En ambos gráficos es muy similar la evolución de cantidad de casos según períodos, ya sean subas o bajas. Lo cual nos da la pauta de que es muy probable que el tipo de vuelo no sea un indicador a la hora de intentar asigar motivos concretos a las causas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Usuario\\miniconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1138.75x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.displot(data=df, x=\"Year\", hue=\"Flight_Type\", col=\"Flight_Type\")\n",
    "g.set_axis_labels(\"Año\", \"Cantidad de Casos\")\n",
    "g.fig.suptitle(\"Distribución Casos por Tipo de vuelo\", y=1.05)\n",
    "g._legend.set_title(\"Tipo de Vuelo\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Para el siguiente gráfico es necesario especificar descripción de los Tipos de Daños en Aeronaves:\n",
    "\n",
    "- **Substantial:** daño grave que podría significar un alto coste de reparación.\n",
    "- **Destroyed:** aeronave destruída.\n",
    "- **Damaged Beyond Repair:** daños irreparables.\n",
    "- **Unknown:** desconocido. Campo o registro sin datos.\n",
    "- **Minor:** daños menores y/o reparables.\n",
    "- **Missing:** aeronave perdida.\n",
    "\n",
    "En éste caso hay una clara mayoría de daños sustanciales, irreparables y/o destrucción, lo cual indica que hay una muy baja probabilidad de recuperar una aeronave que tuvo algún tipo de accidente.\n",
    "\n",
    "*se utiliza warnings.filterwarnings para ignorar temporalmente la advertencia alrededor de la disposición de la figura."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Usuario\\miniconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1419x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.figure(figsize=(12, 8))\n",
    "g = sns.displot(data=df, x=\"Year\", hue=\"Aircaft_Damage_Type\", multiple=\"stack\", height=8, aspect=1.5, legend=True)\n",
    "g.set(xlabel=\"Año\", ylabel=\"Cantidad de Casos\", title=\"Cantidad de Casos según tipo de daño en aeronave\")\n",
    "g._legend.set_title(\"Tipo de daño en Aeronave\")\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el siguiente gráfico se puede apreciar que la mayoría de los casos corresponden a las aeronaves de tipo pasajero regular, ya sea uso doméstico o internacional.\n",
    "\n",
    "Los valores de la columna 'Aircaft_Nature' que se representan como '-' y 'Unknown' tienen una alta probabilidad de corresponder a aeronaves tipo pasajero, dado el promedio de la cantidad de registros sobre el mismo. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data=df, x='Year', y='Aircaft_Nature', kind='scatter', height=8, aspect=2)\n",
    "plt.xlabel('Año')\n",
    "plt.ylabel('Tipo de Aeronave')\n",
    "plt.title('Casos según Tipo de Aeronave')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Para el siguiente gráfico es necesario especificar descripción de las categorías de incidentes:\n",
    "\n",
    "- **Accident | repairable-damage:** Accidente; daño reparable.\n",
    "- **Accident | hull-loss:** Accidente; pérdida del casco.\n",
    "- **Criminal occurrence (sabotage, shoot down) | hull-loss:** Hecho criminal (sabotaje, derribo); pérdida del casco.\n",
    "- **Other occurrence (ground fire, sabotage) | hull-loss:** Otros sucesos (incendio terrestre, sabotaje); pérdida del casco.\n",
    "- **Criminal occurrence (sabotage, shoot down) | repairable-damage:** Hecho criminal (sabotaje, derribo); daño reparable.\n",
    "- **Hijacking | repairable-damage:** Secuestro | daño reparable.\n",
    "- **Other occurrence (ground fire, sabotage) | repairable-damage:** Otros sucesos (incendio terrestre, sabotaje); daño reparable.\n",
    "- **Occurrence unknown | hull-loss:** Suceso desconocido; pérdida del casco.\n",
    "- **Incident | repairable-damage:** Incidente; daño reparable.\n",
    "- **Hijacking | hull-loss:** Secuestro; pérdida del casco\n",
    "\n",
    "EL siguiente gráfico muestra el número de fallecidos en función de la categoría del incidente. Hay una clara relación con la gravedad del incidente, ya que los casos donde hay pérdida del casco, ya sea por un accidente o suceso criminal, son las categorías donde más casos de fallecidos se contabiliza."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=df, x=\"Fatalities\", y=\"Incident_Category\")\n",
    "plt.xlabel('Cantidad de Fallecidos')\n",
    "plt.ylabel('Tipo de Daño de Aeronave')\n",
    "plt.title('Fatalidades Según Daño de Aeronave')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En el siguiente gráfico se expone la cantidad de fallecidos a lo largo de los años, mostrando un pico máximo a principios de los '40 (que corresponden a algunos casos particulares de muchos pasajeros) y una disminución casi constante a partir de los '90."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum_fatalidades_por_año = df.groupby('Year')['Fatalities'].sum()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "ax.bar(sum_fatalidades_por_año.index, sum_fatalidades_por_año.values, color='b')\n",
    "ax.set_xlabel('Año')\n",
    "ax.set_ylabel('Cantidad de Fallecidos')\n",
    "ax.set_title('Suma de Fallecidos por Año')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.4"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}