_TASK3.ipynb

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  "metadata": {
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      "name": "#TASK3.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "mount_file_id": "1lUzJWRFICtOuYN07jy6TeYitWdIyylrL",
      "authorship_tag": "ABX9TyMwtNIdWzjt6h/Q0ZvNzTsv",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Anishpatil-108/LGMVIP-DataScience/blob/main/_TASK3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3k265f4w2J6D"
      },
      "source": [
        "#DATA SCIENCE INTERN @Lets Grow More LGMVIP October\n",
        "##Name: Anish Patil\n",
        "###TASK 3 (INTERMEDIATE LEVEL): Exploratory Data Analysis on Dataset-Terrorism\n",
        "According to a survey, about 218 million people are affected by calamities, natural and man-made, per annum and about 68000 people loose their lives every year. The frequency of natural disasters have remained broadly constant, but the number of terrorist activities have grown over the period. The aim of this task is to explore the terrorist events around the world. Plots and Graphs are used in this task, for making the exploration easy and more informative."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dWde0vMf1FKY"
      },
      "source": [
        "#IMPORT LIBRARIES"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EImd2sewhB7-"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib as mpl\n",
        "import seaborn as sns\n",
        "import os\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FrtKiNDsiBhq"
      },
      "source": [
        "data=pd.read_csv('/content/drive/MyDrive/Global Terrorism - START data.zip',encoding='latin1')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "waYANCGg1Jhz"
      },
      "source": [
        "#DATA PROCESSING"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hfhfPAE1iYMW",
        "outputId": "f601ec2d-7381-4b41-a2ad-3a9147be5946"
      },
      "source": [
        "data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(181691, 135)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7WSdoByJifba",
        "outputId": "4ca17072-2aa3-46df-8dcc-d50e8fdb6a31"
      },
      "source": [
        "data.size"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "24528285"
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          },
          "metadata": {},
          "execution_count": 4
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8ShmZLln1W4E"
      },
      "source": [
        "DATA CLEANING"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VsWTNH9njNle"
      },
      "source": [
        "data.rename(columns={'iyear':'Year','imonth':'Month','city':'City','iday':'Day','country_txt':'Country','region_txt':'Region','latitude':'Latitude','longitude':'Longitude','attacktype1_txt':'AttackType','target1':'Target','nkill':'Killed','nwound':'Wounded','summary':'Summary','gname':'Group','targtype1_txt':'Target Type','weaptype1_txt':'Weapon','motive':'Motive'},inplace=True)\n",
        "data['Casualities'] = data.Killed + data.Wounded\n",
        "data=data[['Year','Month','Day','Country','Region','City','Latitude','Longitude','AttackType','Killed','Wounded','Casualities','Target','Group','Target Type','Weapon']]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "FhBSJHV6ihzG",
        "outputId": "e65c2c9c-244b-4857-c45d-78c41ef31a9b"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "      <th>Day</th>\n",
              "      <th>Country</th>\n",
              "      <th>Region</th>\n",
              "      <th>City</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>AttackType</th>\n",
              "      <th>Killed</th>\n",
              "      <th>Wounded</th>\n",
              "      <th>Casualities</th>\n",
              "      <th>Target</th>\n",
              "      <th>Group</th>\n",
              "      <th>Target Type</th>\n",
              "      <th>Weapon</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1970</td>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>Dominican Republic</td>\n",
              "      <td>Central America &amp; Caribbean</td>\n",
              "      <td>Santo Domingo</td>\n",
              "      <td>18.456792</td>\n",
              "      <td>-69.951164</td>\n",
              "      <td>Assassination</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Julio Guzman</td>\n",
              "      <td>MANO-D</td>\n",
              "      <td>Private Citizens &amp; Property</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1970</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>North America</td>\n",
              "      <td>Mexico city</td>\n",
              "      <td>19.371887</td>\n",
              "      <td>-99.086624</td>\n",
              "      <td>Hostage Taking (Kidnapping)</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Nadine Chaval, daughter</td>\n",
              "      <td>23rd of September Communist League</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1970</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Philippines</td>\n",
              "      <td>Southeast Asia</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>15.478598</td>\n",
              "      <td>120.599741</td>\n",
              "      <td>Assassination</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Employee</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Journalists &amp; Media</td>\n",
              "      <td>Unknown</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1970</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>Western Europe</td>\n",
              "      <td>Athens</td>\n",
              "      <td>37.997490</td>\n",
              "      <td>23.762728</td>\n",
              "      <td>Bombing/Explosion</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>U.S. Embassy</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Explosives</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1970</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>East Asia</td>\n",
              "      <td>Fukouka</td>\n",
              "      <td>33.580412</td>\n",
              "      <td>130.396361</td>\n",
              "      <td>Facility/Infrastructure Attack</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>U.S. Consulate</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Incendiary</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "   Year  Month  ...                  Target Type      Weapon\n",
              "0  1970      7  ...  Private Citizens & Property     Unknown\n",
              "1  1970      0  ...      Government (Diplomatic)     Unknown\n",
              "2  1970      1  ...          Journalists & Media     Unknown\n",
              "3  1970      1  ...      Government (Diplomatic)  Explosives\n",
              "4  1970      1  ...      Government (Diplomatic)  Incendiary\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
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    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "fFk3QdHVinmZ",
        "outputId": "c6b7035c-cc77-420d-8ce6-96d0a7df0de9"
      },
      "source": [
        "data.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "      <th>Day</th>\n",
              "      <th>Country</th>\n",
              "      <th>Region</th>\n",
              "      <th>City</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>AttackType</th>\n",
              "      <th>Killed</th>\n",
              "      <th>Wounded</th>\n",
              "      <th>Casualities</th>\n",
              "      <th>Target</th>\n",
              "      <th>Group</th>\n",
              "      <th>Target Type</th>\n",
              "      <th>Weapon</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>181686</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "      <td>Somalia</td>\n",
              "      <td>Sub-Saharan Africa</td>\n",
              "      <td>Ceelka Geelow</td>\n",
              "      <td>2.359673</td>\n",
              "      <td>45.385034</td>\n",
              "      <td>Armed Assault</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Checkpoint</td>\n",
              "      <td>Al-Shabaab</td>\n",
              "      <td>Military</td>\n",
              "      <td>Firearms</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181687</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "      <td>Syria</td>\n",
              "      <td>Middle East &amp; North Africa</td>\n",
              "      <td>Jableh</td>\n",
              "      <td>35.407278</td>\n",
              "      <td>35.942679</td>\n",
              "      <td>Bombing/Explosion</td>\n",
              "      <td>2.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>Hmeymim Air Base</td>\n",
              "      <td>Muslim extremists</td>\n",
              "      <td>Military</td>\n",
              "      <td>Explosives</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181688</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "      <td>Philippines</td>\n",
              "      <td>Southeast Asia</td>\n",
              "      <td>Kubentog</td>\n",
              "      <td>6.900742</td>\n",
              "      <td>124.437908</td>\n",
              "      <td>Facility/Infrastructure Attack</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Houses</td>\n",
              "      <td>Bangsamoro Islamic Freedom Movement (BIFM)</td>\n",
              "      <td>Private Citizens &amp; Property</td>\n",
              "      <td>Incendiary</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181689</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "      <td>India</td>\n",
              "      <td>South Asia</td>\n",
              "      <td>Imphal</td>\n",
              "      <td>24.798346</td>\n",
              "      <td>93.940430</td>\n",
              "      <td>Bombing/Explosion</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Office</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Government (General)</td>\n",
              "      <td>Explosives</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181690</th>\n",
              "      <td>2017</td>\n",
              "      <td>12</td>\n",
              "      <td>31</td>\n",
              "      <td>Philippines</td>\n",
              "      <td>Southeast Asia</td>\n",
              "      <td>Cotabato City</td>\n",
              "      <td>7.209594</td>\n",
              "      <td>124.241966</td>\n",
              "      <td>Bombing/Explosion</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Explosives</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "        Year  Month  ...                  Target Type      Weapon\n",
              "181686  2017     12  ...                     Military    Firearms\n",
              "181687  2017     12  ...                     Military  Explosives\n",
              "181688  2017     12  ...  Private Citizens & Property  Incendiary\n",
              "181689  2017     12  ...         Government (General)  Explosives\n",
              "181690  2017     12  ...                      Unknown  Explosives\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SYQwZvG4irk_",
        "outputId": "d6ff025b-c2f9-40d2-c612-7e0b88c6a3d5"
      },
      "source": [
        "data.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year             int64\n",
              "Month            int64\n",
              "Day              int64\n",
              "Country         object\n",
              "Region          object\n",
              "City            object\n",
              "Latitude       float64\n",
              "Longitude      float64\n",
              "AttackType      object\n",
              "Killed         float64\n",
              "Wounded        float64\n",
              "Casualities    float64\n",
              "Target          object\n",
              "Group           object\n",
              "Target Type     object\n",
              "Weapon          object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Su8l9AMGi4mm",
        "outputId": "594cd3bb-16ea-4a34-8696-ec6a7b0de75d"
      },
      "source": [
        "data.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Year', 'Month', 'Day', 'Country', 'Region', 'City', 'Latitude',\n",
              "       'Longitude', 'AttackType', 'Killed', 'Wounded', 'Casualities', 'Target',\n",
              "       'Group', 'Target Type', 'Weapon'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UjIhs27fi-KD",
        "outputId": "b1c275bb-48b6-4bae-e77a-57256cfb2993"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year               0\n",
              "Month              0\n",
              "Day                0\n",
              "Country            0\n",
              "Region             0\n",
              "City             434\n",
              "Latitude        4556\n",
              "Longitude       4557\n",
              "AttackType         0\n",
              "Killed         10313\n",
              "Wounded        16311\n",
              "Casualities    16874\n",
              "Target           636\n",
              "Group              0\n",
              "Target Type        0\n",
              "Weapon             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AKHbw9IpjtxW",
        "outputId": "47b4f96e-ef45-444d-caa8-a8743f0ff792"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 181691 entries, 0 to 181690\n",
            "Data columns (total 16 columns):\n",
            " #   Column       Non-Null Count   Dtype  \n",
            "---  ------       --------------   -----  \n",
            " 0   Year         181691 non-null  int64  \n",
            " 1   Month        181691 non-null  int64  \n",
            " 2   Day          181691 non-null  int64  \n",
            " 3   Country      181691 non-null  object \n",
            " 4   Region       181691 non-null  object \n",
            " 5   City         181257 non-null  object \n",
            " 6   Latitude     177135 non-null  float64\n",
            " 7   Longitude    177134 non-null  float64\n",
            " 8   AttackType   181691 non-null  object \n",
            " 9   Killed       171378 non-null  float64\n",
            " 10  Wounded      165380 non-null  float64\n",
            " 11  Casualities  164817 non-null  float64\n",
            " 12  Target       181055 non-null  object \n",
            " 13  Group        181691 non-null  object \n",
            " 14  Target Type  181691 non-null  object \n",
            " 15  Weapon       181691 non-null  object \n",
            "dtypes: float64(5), int64(3), object(8)\n",
            "memory usage: 22.2+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "VBvYgAHyjxNN",
        "outputId": "0553eade-6c47-4def-97c0-a7a4aed5babd"
      },
      "source": [
        "data.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Year</th>\n",
              "      <th>Month</th>\n",
              "      <th>Day</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>Killed</th>\n",
              "      <th>Wounded</th>\n",
              "      <th>Casualities</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>177135.000000</td>\n",
              "      <td>1.771340e+05</td>\n",
              "      <td>171378.000000</td>\n",
              "      <td>165380.000000</td>\n",
              "      <td>164817.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2002.638997</td>\n",
              "      <td>6.467277</td>\n",
              "      <td>15.505644</td>\n",
              "      <td>23.498343</td>\n",
              "      <td>-4.586957e+02</td>\n",
              "      <td>2.403272</td>\n",
              "      <td>3.167668</td>\n",
              "      <td>5.296128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>13.259430</td>\n",
              "      <td>3.388303</td>\n",
              "      <td>8.814045</td>\n",
              "      <td>18.569242</td>\n",
              "      <td>2.047790e+05</td>\n",
              "      <td>11.545741</td>\n",
              "      <td>35.949392</td>\n",
              "      <td>42.069023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1970.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-53.154613</td>\n",
              "      <td>-8.618590e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1991.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>11.510046</td>\n",
              "      <td>4.545640e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2009.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>31.467463</td>\n",
              "      <td>4.324651e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>34.685087</td>\n",
              "      <td>6.871033e+01</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>74.633553</td>\n",
              "      <td>1.793667e+02</td>\n",
              "      <td>1570.000000</td>\n",
              "      <td>8191.000000</td>\n",
              "      <td>9574.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                Year          Month  ...        Wounded    Casualities\n",
              "count  181691.000000  181691.000000  ...  165380.000000  164817.000000\n",
              "mean     2002.638997       6.467277  ...       3.167668       5.296128\n",
              "std        13.259430       3.388303  ...      35.949392      42.069023\n",
              "min      1970.000000       0.000000  ...       0.000000       0.000000\n",
              "25%      1991.000000       4.000000  ...       0.000000       0.000000\n",
              "50%      2009.000000       6.000000  ...       0.000000       1.000000\n",
              "75%      2014.000000       9.000000  ...       2.000000       4.000000\n",
              "max      2017.000000      12.000000  ...    8191.000000    9574.000000\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oYp4I2kh1mxc"
      },
      "source": [
        "#DATA ANALYSIS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "yaB8HZiKwxrT",
        "outputId": "925beb0a-b94d-4998-9a55-62c52029375b"
      },
      "source": [
        "pd.DataFrame(data[\"Year\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2014</th>\n",
              "      <td>16903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2015</th>\n",
              "      <td>14965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2016</th>\n",
              "      <td>13587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2013</th>\n",
              "      <td>12036</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2017</th>\n",
              "      <td>10900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2012</th>\n",
              "      <td>8522</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2011</th>\n",
              "      <td>5076</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992</th>\n",
              "      <td>5071</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2010</th>\n",
              "      <td>4826</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2008</th>\n",
              "      <td>4805</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Year\n",
              "2014  16903\n",
              "2015  14965\n",
              "2016  13587\n",
              "2013  12036\n",
              "2017  10900\n",
              "2012   8522\n",
              "2011   5076\n",
              "1992   5071\n",
              "2010   4826\n",
              "2008   4805"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "S_eXd3vNoYJ2",
        "outputId": "6251b1df-eb89-4f0b-f85f-ef6fb6f87f64"
      },
      "source": [
        "pd.DataFrame(data[\"Country\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Country</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Iraq</th>\n",
              "      <td>24636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pakistan</th>\n",
              "      <td>14368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Afghanistan</th>\n",
              "      <td>12731</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>India</th>\n",
              "      <td>11960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Colombia</th>\n",
              "      <td>8306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Philippines</th>\n",
              "      <td>6908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Peru</th>\n",
              "      <td>6096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>El Salvador</th>\n",
              "      <td>5320</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>5235</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Turkey</th>\n",
              "      <td>4292</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                Country\n",
              "Iraq              24636\n",
              "Pakistan          14368\n",
              "Afghanistan       12731\n",
              "India             11960\n",
              "Colombia           8306\n",
              "Philippines        6908\n",
              "Peru               6096\n",
              "El Salvador        5320\n",
              "United Kingdom     5235\n",
              "Turkey             4292"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "TqS20D72qVNo",
        "outputId": "8bccb1a8-877c-4bf8-fe93-0be3d17cddd1"
      },
      "source": [
        "pd.DataFrame(data[\"Region\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Region</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Middle East &amp; North Africa</th>\n",
              "      <td>50474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>South Asia</th>\n",
              "      <td>44974</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>South America</th>\n",
              "      <td>18978</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sub-Saharan Africa</th>\n",
              "      <td>17550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Western Europe</th>\n",
              "      <td>16639</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Southeast Asia</th>\n",
              "      <td>12485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Central America &amp; Caribbean</th>\n",
              "      <td>10344</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Eastern Europe</th>\n",
              "      <td>5144</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>North America</th>\n",
              "      <td>3456</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>East Asia</th>\n",
              "      <td>802</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             Region\n",
              "Middle East & North Africa    50474\n",
              "South Asia                    44974\n",
              "South America                 18978\n",
              "Sub-Saharan Africa            17550\n",
              "Western Europe                16639\n",
              "Southeast Asia                12485\n",
              "Central America & Caribbean   10344\n",
              "Eastern Europe                 5144\n",
              "North America                  3456\n",
              "East Asia                       802"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "nO1b-bosqO2n",
        "outputId": "00cdee31-0aab-4a0f-d147-c348081df001"
      },
      "source": [
        "pd.DataFrame(data[\"City\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>City</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Unknown</th>\n",
              "      <td>9775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Baghdad</th>\n",
              "      <td>7589</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Karachi</th>\n",
              "      <td>2652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lima</th>\n",
              "      <td>2359</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mosul</th>\n",
              "      <td>2265</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Belfast</th>\n",
              "      <td>2171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Santiago</th>\n",
              "      <td>1621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mogadishu</th>\n",
              "      <td>1581</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Salvador</th>\n",
              "      <td>1558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Istanbul</th>\n",
              "      <td>1048</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              City\n",
              "Unknown       9775\n",
              "Baghdad       7589\n",
              "Karachi       2652\n",
              "Lima          2359\n",
              "Mosul         2265\n",
              "Belfast       2171\n",
              "Santiago      1621\n",
              "Mogadishu     1581\n",
              "San Salvador  1558\n",
              "Istanbul      1048"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "P-AvatUl17Lt",
        "outputId": "6d366904-e113-496e-eca2-3ca53c55029a"
      },
      "source": [
        "pd.DataFrame(data[\"Casualities\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Casualities</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0.0</th>\n",
              "      <td>63297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1.0</th>\n",
              "      <td>30157</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2.0</th>\n",
              "      <td>15278</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3.0</th>\n",
              "      <td>10273</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4.0</th>\n",
              "      <td>7549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5.0</th>\n",
              "      <td>5755</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6.0</th>\n",
              "      <td>4244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7.0</th>\n",
              "      <td>3632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8.0</th>\n",
              "      <td>2832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9.0</th>\n",
              "      <td>2309</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Casualities\n",
              "0.0        63297\n",
              "1.0        30157\n",
              "2.0        15278\n",
              "3.0        10273\n",
              "4.0         7549\n",
              "5.0         5755\n",
              "6.0         4244\n",
              "7.0         3632\n",
              "8.0         2832\n",
              "9.0         2309"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "gaUpHL9Vr6R_",
        "outputId": "f1b7083e-2f3b-49e0-ad45-e3f794d1625e"
      },
      "source": [
        "pd.DataFrame(data[\"Group\"].value_counts().head(10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Group</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Unknown</th>\n",
              "      <td>82782</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Taliban</th>\n",
              "      <td>7478</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Islamic State of Iraq and the Levant (ISIL)</th>\n",
              "      <td>5613</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Shining Path (SL)</th>\n",
              "      <td>4555</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Farabundo Marti National Liberation Front (FMLN)</th>\n",
              "      <td>3351</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Al-Shabaab</th>\n",
              "      <td>3288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>New People's Army (NPA)</th>\n",
              "      <td>2772</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Irish Republican Army (IRA)</th>\n",
              "      <td>2671</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Revolutionary Armed Forces of Colombia (FARC)</th>\n",
              "      <td>2487</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Boko Haram</th>\n",
              "      <td>2418</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                  Group\n",
              "Unknown                                           82782\n",
              "Taliban                                            7478\n",
              "Islamic State of Iraq and the Levant (ISIL)        5613\n",
              "Shining Path (SL)                                  4555\n",
              "Farabundo Marti National Liberation Front (FMLN)   3351\n",
              "Al-Shabaab                                         3288\n",
              "New People's Army (NPA)                            2772\n",
              "Irish Republican Army (IRA)                        2671\n",
              "Revolutionary Armed Forces of Colombia (FARC)      2487\n",
              "Boko Haram                                         2418"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w6jsJ-iVrBgH"
      },
      "source": [
        "#DATA ANALYSIS OUTPUT"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KJxwKEuzteTZ",
        "outputId": "cea46dd5-e6d6-491a-e5a1-3f2d88dd5f1d"
      },
      "source": [
        "print('Regions with Highest Terrorist Attacks:',data['Region'].value_counts().index[0])\n",
        "print('Country with Highest Terrorist Attacks:',data['Country'].value_counts().index[0])\n",
        "print('City with Highest Terrorist Attacks:',data['City'].value_counts().index[0])\n",
        "print('Terrorist Groups with Highest Terrorist Attacks:',data['Group'].value_counts().index[0])\n",
        "print('Year with Highest Terrorist Attacks:',data['Year'].value_counts().index[0])\n",
        "print('Total number of casualities:',data['Casualities'].max())\n",
        "print('Most used weapon in Terrorist Attacks:',data['Weapon'].value_counts().index[0])\n",
        "print('Maximum people killed in an ttack are:',data['Killed'].max(),'that took place in',data.loc[data['Killed'].idxmax()].Country)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Regions with Highest Terrorist Attacks: Middle East & North Africa\n",
            "Country with Highest Terrorist Attacks: Iraq\n",
            "City with Highest Terrorist Attacks: Unknown\n",
            "Terrorist Groups with Highest Terrorist Attacks: Unknown\n",
            "Year with Highest Terrorist Attacks: 2014\n",
            "Total number of casualities: 9574.0\n",
            "Most used weapon in Terrorist Attacks: Explosives\n",
            "Maximum people killed in an ttack are: 1570.0 that took place in Iraq\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gJLC4Ih0rZy1"
      },
      "source": [
        "#DATA VISUALIZATION"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "tu3ImAkSpt-S",
        "outputId": "eb0271de-1f93-45cd-9729-2e0b9ecd5798"
      },
      "source": [
        "pd.crosstab(data.Year , data.Region).plot(kind = 'area' , stacked = False , figsize = (13,7), color= 'black')\n",
        "plt.title('Terrorist Activities in Different Regions')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('Number of Attacks')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 513
        },
        "id": "2FCpy6RMybUZ",
        "outputId": "725ac71d-cb71-4144-d207-da8d14f49eb9"
      },
      "source": [
        "pd.crosstab(data.Region,data.AttackType).plot.barh(stacked=True,width=1,color=sns.color_palette('inferno',9))\n",
        "plt.title('Attack Type in Different Regions')\n",
        "plt.xlabel('Number of Attacks')\n",
        "plt.ylabel('Region')\n",
        "fig=plt.gcf()\n",
        "fig.set_size_inches(12,8)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 404
        },
        "id": "xwgzE5PFyK4i",
        "outputId": "f73b9436-2246-4b7a-b096-376da9e454a1"
      },
      "source": [
        "data_region=pd.crosstab(data.Year, data.Region)\n",
        "data_region.plot(color=sns.color_palette('inferno',12))\n",
        "plt.title('Terrorist Activities over the Years')\n",
        "plt.xlabel('Years')\n",
        "plt.ylabel('Number of Attacks')\n",
        "fig=plt.gcf()\n",
        "fig.set_size_inches(18,6)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "_SRpXsEVwkvm",
        "outputId": "d129ec7f-8d68-4569-ef69-770b311a06bf"
      },
      "source": [
        "plt.subplots(figsize=(15,6))\n",
        "sns.countplot('AttackType', data=data, palette='inferno',order=data['AttackType'].value_counts().index)\n",
        "plt.xticks(rotation=90)\n",
        "plt.xlabel('Attack Type ')\n",
        "plt.ylabel('Number of Attacks')\n",
        "plt.title('Attacking Methods by Terrorists')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "fz5x9Gftxwfb",
        "outputId": "099784c0-8bec-46ae-e03c-5b74ebbe1c5a"
      },
      "source": [
        "plt.subplots(figsize=(15,6)) \n",
        "sns.countplot(data['Target Type'],palette='inferno',order=data['Target Type'].value_counts().index)\n",
        "plt.xticks(rotation=90)\n",
        "plt.title('Targets Attacked by Terrorists')\n",
        "plt.xlabel('Target Type')\n",
        "plt.ylabel('Number of Attacks')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 528
        },
        "id": "Sz2I5Zg0yo-n",
        "outputId": "2209bfb5-e37c-4407-f456-4c7f91e806b2"
      },
      "source": [
        "sns.barplot(data['Group'].value_counts()[1:15].values,data['Group'].value_counts()[1:15].index,palette=('inferno'))\n",
        "plt.xlabel('Number of Attacks')\n",
        "plt.ylabel('Terrorist Groups')\n",
        "plt.xticks(rotation=90)\n",
        "fig=plt.gcf()\n",
        "fig.set_size_inches(10,8)\n",
        "plt.title('Highest Terror Attacks')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6PtIfR3Qrea6"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "##CONCLUSION \n",
        "\n",
        "---\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "####**Iraq** is the Country with the Highest Terrorist Attacks.\n",
        "####**Middle East & North Africa** is the Regions with Highest Terrorist Attacks. \n",
        "####**Baghdad** is the City with Highest Terrorist Attacks.\n",
        "####**Taliban** Terrorist Groups has Highest Terrorist Attacks till date.\n",
        "####**2014** was the Year with Highest number of Terrorist Attacks and Casualities.\n",
        "####**9574** was the Highest Number of Casualities reported in an Year.\n",
        "####**Explosives** are the most used weapon in Terrorist Attacks.\n",
        "####Maximum people killed in an attack were **1570** which took place in **Iraq**.\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "Even though the number of terrorist attacks have declined between 2016 to 2020 the threat of the ever increasing terrorist group is still prevalent. Also, with the rise of Taliban once again in the Middle East we must be vigilant and should resort to counter-attacks if the situations worsen. Thank You. \n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    }
  ]
}