TSF_Task_4.ipynb

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  "metadata": {
    "colab": {
      "name": "TSF_Task_4.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNwdlVE6+P/vSLmT/rAMXRk"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lPBqyGEGO_5O"
      },
      "source": [
        "#**The Sparks Foundation** \n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "Name : Anna Elizabeth Thambi\n",
        "\n",
        "##**Data Science and Business Analytics**\n",
        "**TASK 4 -  Perform Exploratory Data Analysis on dataset Global Terrorism**\n",
        "\n",
        "As a security/defense analyst, try to find out the hot zone of terrorism.\n",
        "\n",
        "What all security issues and insights you can derive by EDA?\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3xMBCJ5IQbW-"
      },
      "source": [
        "##**Importing required libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aVlS4XTMO8Ps"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t5ZSxVH0QieO"
      },
      "source": [
        "##**Loading the Dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 370
        },
        "id": "nWIYFm9AQeye",
        "outputId": "0b9e3edb-2a59-4d3d-aa7c-9ba4387bdcc2"
      },
      "source": [
        "df= pd.read_csv(\"globalterrorismdb_0718dist.csv\",encoding='latin1')\n",
        "df.head()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>10</td>\n",
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              "      <td>U.S. Embassy</td>\n",
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              "      <td>Explosive</td>\n",
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              "      <th>4</th>\n",
              "      <td>197001000003</td>\n",
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              "      <td>101</td>\n",
              "      <td>Japan</td>\n",
              "      <td>4</td>\n",
              "      <td>East Asia</td>\n",
              "      <td>Fukouka</td>\n",
              "      <td>Fukouka</td>\n",
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              "      <td>130.396361</td>\n",
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              "      <td>1</td>\n",
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              "      <td>-9.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>Facility/Infrastructure Attack</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>46.0</td>\n",
              "      <td>Embassy/Consulate</td>\n",
              "      <td>NaN</td>\n",
              "      <td>U.S. Consulate</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Incendiary</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PGIS</td>\n",
              "      <td>-9</td>\n",
              "      <td>-9</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 135 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        eventid  iyear  imonth  iday  ... INT_IDEO  INT_MISC INT_ANY  related\n",
              "0  197000000001   1970       7     2  ...        0         0       0      NaN\n",
              "1  197000000002   1970       0     0  ...        1         1       1      NaN\n",
              "2  197001000001   1970       1     0  ...       -9         1       1      NaN\n",
              "3  197001000002   1970       1     0  ...       -9         1       1      NaN\n",
              "4  197001000003   1970       1     0  ...       -9         1       1      NaN\n",
              "\n",
              "[5 rows x 135 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mf_OE44-yUQv"
      },
      "source": [
        "##**Getting information about data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "08tIpVT_Qokm",
        "outputId": "38a074a7-e5fd-4eda-d777-307ca714314d"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 181691 entries, 0 to 181690\n",
            "Columns: 135 entries, eventid to related\n",
            "dtypes: float64(55), int64(22), object(58)\n",
            "memory usage: 187.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "Y7Pd-7seyZY3",
        "outputId": "985d8b44-2c6c-46da-c789-b64cd5d1a6a1"
      },
      "source": [
        "df.describe(include=\"all\")"
      ],
      "execution_count": 45,
      "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>eventid</th>\n",
              "      <th>iyear</th>\n",
              "      <th>imonth</th>\n",
              "      <th>iday</th>\n",
              "      <th>approxdate</th>\n",
              "      <th>extended</th>\n",
              "      <th>resolution</th>\n",
              "      <th>country</th>\n",
              "      <th>country_txt</th>\n",
              "      <th>region</th>\n",
              "      <th>region_txt</th>\n",
              "      <th>provstate</th>\n",
              "      <th>city</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>specificity</th>\n",
              "      <th>vicinity</th>\n",
              "      <th>location</th>\n",
              "      <th>summary</th>\n",
              "      <th>crit1</th>\n",
              "      <th>crit2</th>\n",
              "      <th>crit3</th>\n",
              "      <th>doubtterr</th>\n",
              "      <th>alternative</th>\n",
              "      <th>alternative_txt</th>\n",
              "      <th>multiple</th>\n",
              "      <th>success</th>\n",
              "      <th>suicide</th>\n",
              "      <th>attacktype1</th>\n",
              "      <th>attacktype1_txt</th>\n",
              "      <th>attacktype2</th>\n",
              "      <th>attacktype2_txt</th>\n",
              "      <th>attacktype3</th>\n",
              "      <th>attacktype3_txt</th>\n",
              "      <th>targtype1</th>\n",
              "      <th>targtype1_txt</th>\n",
              "      <th>targsubtype1</th>\n",
              "      <th>targsubtype1_txt</th>\n",
              "      <th>corp1</th>\n",
              "      <th>target1</th>\n",
              "      <th>...</th>\n",
              "      <th>weapsubtype4</th>\n",
              "      <th>weapsubtype4_txt</th>\n",
              "      <th>weapdetail</th>\n",
              "      <th>nkill</th>\n",
              "      <th>nkillus</th>\n",
              "      <th>nkillter</th>\n",
              "      <th>nwound</th>\n",
              "      <th>nwoundus</th>\n",
              "      <th>nwoundte</th>\n",
              "      <th>property</th>\n",
              "      <th>propextent</th>\n",
              "      <th>propextent_txt</th>\n",
              "      <th>propvalue</th>\n",
              "      <th>propcomment</th>\n",
              "      <th>ishostkid</th>\n",
              "      <th>nhostkid</th>\n",
              "      <th>nhostkidus</th>\n",
              "      <th>nhours</th>\n",
              "      <th>ndays</th>\n",
              "      <th>divert</th>\n",
              "      <th>kidhijcountry</th>\n",
              "      <th>ransom</th>\n",
              "      <th>ransomamt</th>\n",
              "      <th>ransomamtus</th>\n",
              "      <th>ransompaid</th>\n",
              "      <th>ransompaidus</th>\n",
              "      <th>ransomnote</th>\n",
              "      <th>hostkidoutcome</th>\n",
              "      <th>hostkidoutcome_txt</th>\n",
              "      <th>nreleased</th>\n",
              "      <th>addnotes</th>\n",
              "      <th>scite1</th>\n",
              "      <th>scite2</th>\n",
              "      <th>scite3</th>\n",
              "      <th>dbsource</th>\n",
              "      <th>INT_LOG</th>\n",
              "      <th>INT_IDEO</th>\n",
              "      <th>INT_MISC</th>\n",
              "      <th>INT_ANY</th>\n",
              "      <th>related</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1.816910e+05</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>9239</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>2220</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691</td>\n",
              "      <td>181270</td>\n",
              "      <td>181257</td>\n",
              "      <td>177135.000000</td>\n",
              "      <td>1.771340e+05</td>\n",
              "      <td>181685.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>55495</td>\n",
              "      <td>115562</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181690.000000</td>\n",
              "      <td>29011.000000</td>\n",
              "      <td>29011</td>\n",
              "      <td>181690.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691</td>\n",
              "      <td>6314.000000</td>\n",
              "      <td>6314</td>\n",
              "      <td>428.000000</td>\n",
              "      <td>428</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691</td>\n",
              "      <td>171318.000000</td>\n",
              "      <td>171318</td>\n",
              "      <td>139141</td>\n",
              "      <td>181055</td>\n",
              "      <td>...</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>70</td>\n",
              "      <td>114021</td>\n",
              "      <td>171378.000000</td>\n",
              "      <td>117245.000000</td>\n",
              "      <td>114733.000000</td>\n",
              "      <td>165380.000000</td>\n",
              "      <td>116989.000000</td>\n",
              "      <td>112548.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>64065.000000</td>\n",
              "      <td>64065</td>\n",
              "      <td>3.898900e+04</td>\n",
              "      <td>57959</td>\n",
              "      <td>181513.000000</td>\n",
              "      <td>13572.000000</td>\n",
              "      <td>13517.000000</td>\n",
              "      <td>4063.000000</td>\n",
              "      <td>8124.000000</td>\n",
              "      <td>324</td>\n",
              "      <td>3305</td>\n",
              "      <td>77381.000000</td>\n",
              "      <td>1.350000e+03</td>\n",
              "      <td>5.630000e+02</td>\n",
              "      <td>7.740000e+02</td>\n",
              "      <td>552.000000</td>\n",
              "      <td>514</td>\n",
              "      <td>10991.000000</td>\n",
              "      <td>10991</td>\n",
              "      <td>10400.000000</td>\n",
              "      <td>28289</td>\n",
              "      <td>115500</td>\n",
              "      <td>76933</td>\n",
              "      <td>43516</td>\n",
              "      <td>181691</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>25038</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2244</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1859</td>\n",
              "      <td>NaN</td>\n",
              "      <td>205</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12</td>\n",
              "      <td>2855</td>\n",
              "      <td>36674</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>44109</td>\n",
              "      <td>112492</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>112</td>\n",
              "      <td>33238</td>\n",
              "      <td>86006</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16</td>\n",
              "      <td>19148</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19157</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>143</td>\n",
              "      <td>217</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>387</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15429</td>\n",
              "      <td>83988</td>\n",
              "      <td>62263</td>\n",
              "      <td>36090</td>\n",
              "      <td>26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>September 18-24, 2016</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8/4/1998</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Iraq</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Middle East &amp; North Africa</td>\n",
              "      <td>Baghdad</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>The attack took place in Baghdad, Baghdad, Iraq.</td>\n",
              "      <td>09/00/2016: Sometime between September 18, 201...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Insurgency/Guerilla Action</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Bombing/Explosion</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Armed Assault</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Facility/Infrastructure Attack</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Private Citizens &amp; Property</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unnamed Civilian/Unspecified</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Civilians</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Automatic or Semi-Automatic Rifle</td>\n",
              "      <td>Explosive</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Minor (likely &lt; $1 million)</td>\n",
              "      <td>NaN</td>\n",
              "      <td>It is unknown if any property was damaged in t...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Colombia</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Casualty numbers for this incident conflict ac...</td>\n",
              "      <td>Committee on Government Operations United Stat...</td>\n",
              "      <td>Christopher Hewitt, \"Political Violence and Te...</td>\n",
              "      <td>Christopher Hewitt, \"Political Violence and Te...</td>\n",
              "      <td>START Primary Collection</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>201612010023, 201612010024, 201612010025, 2016...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>101</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24636</td>\n",
              "      <td>NaN</td>\n",
              "      <td>50474</td>\n",
              "      <td>7645</td>\n",
              "      <td>9775</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>142</td>\n",
              "      <td>100</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23410</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>88255</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3434</td>\n",
              "      <td>NaN</td>\n",
              "      <td>229</td>\n",
              "      <td>NaN</td>\n",
              "      <td>43511</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11596</td>\n",
              "      <td>16356</td>\n",
              "      <td>6461</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16</td>\n",
              "      <td>20925</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>43304</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6966</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>27</td>\n",
              "      <td>687</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>36</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3606</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1607</td>\n",
              "      <td>205</td>\n",
              "      <td>134</td>\n",
              "      <td>139</td>\n",
              "      <td>78002</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.002705e+11</td>\n",
              "      <td>2002.638997</td>\n",
              "      <td>6.467277</td>\n",
              "      <td>15.505644</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.045346</td>\n",
              "      <td>NaN</td>\n",
              "      <td>131.968501</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.160938</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23.498343</td>\n",
              "      <td>-4.586957e+02</td>\n",
              "      <td>1.451452</td>\n",
              "      <td>0.068297</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.988530</td>\n",
              "      <td>0.993093</td>\n",
              "      <td>0.875668</td>\n",
              "      <td>-0.523171</td>\n",
              "      <td>1.292923</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.137773</td>\n",
              "      <td>0.889598</td>\n",
              "      <td>0.036507</td>\n",
              "      <td>3.247547</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.719512</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.245327</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.439719</td>\n",
              "      <td>NaN</td>\n",
              "      <td>46.971474</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>10.842857</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.403272</td>\n",
              "      <td>0.045981</td>\n",
              "      <td>0.508058</td>\n",
              "      <td>3.167668</td>\n",
              "      <td>0.038944</td>\n",
              "      <td>0.107163</td>\n",
              "      <td>-0.544556</td>\n",
              "      <td>3.295403</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.088119e+05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.059054</td>\n",
              "      <td>4.533230</td>\n",
              "      <td>-0.353999</td>\n",
              "      <td>-46.793933</td>\n",
              "      <td>-32.516371</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.145811</td>\n",
              "      <td>3.172530e+06</td>\n",
              "      <td>5.784865e+05</td>\n",
              "      <td>7.179437e+05</td>\n",
              "      <td>240.378623</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.629242</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-29.018269</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-4.543731</td>\n",
              "      <td>-4.464398</td>\n",
              "      <td>0.090010</td>\n",
              "      <td>-3.945952</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.325957e+09</td>\n",
              "      <td>13.259430</td>\n",
              "      <td>3.388303</td>\n",
              "      <td>8.814045</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.208063</td>\n",
              "      <td>NaN</td>\n",
              "      <td>112.414535</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.933408</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18.569242</td>\n",
              "      <td>2.047790e+05</td>\n",
              "      <td>0.995430</td>\n",
              "      <td>0.284553</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.106483</td>\n",
              "      <td>0.082823</td>\n",
              "      <td>0.329961</td>\n",
              "      <td>2.455819</td>\n",
              "      <td>0.703729</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.344663</td>\n",
              "      <td>0.313391</td>\n",
              "      <td>0.187549</td>\n",
              "      <td>1.915772</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.272023</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.246642</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.653838</td>\n",
              "      <td>NaN</td>\n",
              "      <td>30.953357</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>8.192672</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11.545741</td>\n",
              "      <td>5.681854</td>\n",
              "      <td>4.199937</td>\n",
              "      <td>35.949392</td>\n",
              "      <td>3.057361</td>\n",
              "      <td>1.488881</td>\n",
              "      <td>3.122889</td>\n",
              "      <td>0.486912</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.552463e+07</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.461244</td>\n",
              "      <td>202.316386</td>\n",
              "      <td>6.835645</td>\n",
              "      <td>82.800405</td>\n",
              "      <td>121.209205</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.207861</td>\n",
              "      <td>3.021157e+07</td>\n",
              "      <td>7.077924e+06</td>\n",
              "      <td>1.014392e+07</td>\n",
              "      <td>2940.967293</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.035360</td>\n",
              "      <td>NaN</td>\n",
              "      <td>65.720119</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.543547</td>\n",
              "      <td>4.637152</td>\n",
              "      <td>0.568457</td>\n",
              "      <td>4.691325</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.970000e+11</td>\n",
              "      <td>1970.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-53.154613</td>\n",
              "      <td>-8.618590e+07</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.991021e+11</td>\n",
              "      <td>1991.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11.510046</td>\n",
              "      <td>4.545640e+00</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.009022e+11</td>\n",
              "      <td>2009.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>31.467463</td>\n",
              "      <td>4.324651e+01</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>9.500000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.900000e+01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>-99.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.500000e+04</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.014081e+11</td>\n",
              "      <td>2014.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>160.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>34.685087</td>\n",
              "      <td>6.871033e+01</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>74.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000e+03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>4.000000e+05</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.273412e+03</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.017123e+11</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1004.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>74.633553</td>\n",
              "      <td>1.793667e+02</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>113.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1570.000000</td>\n",
              "      <td>1360.000000</td>\n",
              "      <td>500.000000</td>\n",
              "      <td>8191.000000</td>\n",
              "      <td>751.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.700000e+09</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>86.000000</td>\n",
              "      <td>999.000000</td>\n",
              "      <td>2454.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000e+09</td>\n",
              "      <td>1.320000e+08</td>\n",
              "      <td>2.750000e+08</td>\n",
              "      <td>48000.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2769.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11 rows × 135 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             eventid  ...                                            related\n",
              "count   1.816910e+05  ...                                              25038\n",
              "unique           NaN  ...                                              14306\n",
              "top              NaN  ...  201612010023, 201612010024, 201612010025, 2016...\n",
              "freq             NaN  ...                                                 80\n",
              "mean    2.002705e+11  ...                                                NaN\n",
              "std     1.325957e+09  ...                                                NaN\n",
              "min     1.970000e+11  ...                                                NaN\n",
              "25%     1.991021e+11  ...                                                NaN\n",
              "50%     2.009022e+11  ...                                                NaN\n",
              "75%     2.014081e+11  ...                                                NaN\n",
              "max     2.017123e+11  ...                                                NaN\n",
              "\n",
              "[11 rows x 135 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8e_e_Ejtyao8"
      },
      "source": [
        "df.rename(columns={'iyear':'Year','imonth':'Month','iday':\"day\",'gname':'Group','country_txt':'Country','region_txt':'Region','provstate':'State','city':'City','latitude':'latitude',\n",
        "                   'longitude':'longitude','summary':'summary','attacktype1_txt':'Attacktype','targtype1_txt':'Targettype','weaptype1_txt':'Weapon','nkill':'kill',\n",
        "                   'nwound':'Wound'},inplace=True)"
      ],
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mv53sNcVyor_"
      },
      "source": [
        "df=df[['Year','Month','day','Country','State','Region','City','latitude','longitude',\"Attacktype\",'kill',\n",
        "       'Wound','target1','summary','Group','Targettype','Weapon','motive']]"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "RrO9HguUysGV",
        "outputId": "487edbed-02b7-4633-e8fb-5425f57561ab"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 48,
      "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>Country</th>\n",
              "      <th>State</th>\n",
              "      <th>Region</th>\n",
              "      <th>City</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>Attacktype</th>\n",
              "      <th>kill</th>\n",
              "      <th>Wound</th>\n",
              "      <th>target1</th>\n",
              "      <th>summary</th>\n",
              "      <th>Group</th>\n",
              "      <th>Targettype</th>\n",
              "      <th>Weapon</th>\n",
              "      <th>motive</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>NaN</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>Julio Guzman</td>\n",
              "      <td>NaN</td>\n",
              "      <td>MANO-D</td>\n",
              "      <td>Private Citizens &amp; Property</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>NaN</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>Federal</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>Nadine Chaval, daughter</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23rd of September Communist League</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>NaN</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>Tarlac</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>Employee</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Journalists &amp; Media</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>NaN</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>Attica</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>U.S. Embassy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Explosives</td>\n",
              "      <td>NaN</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>Fukouka</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>U.S. Consulate</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>Government (Diplomatic)</td>\n",
              "      <td>Incendiary</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Year  Month  day  ...                   Targettype      Weapon motive\n",
              "0  1970      7    2  ...  Private Citizens & Property     Unknown    NaN\n",
              "1  1970      0    0  ...      Government (Diplomatic)     Unknown    NaN\n",
              "2  1970      1    0  ...          Journalists & Media     Unknown    NaN\n",
              "3  1970      1    0  ...      Government (Diplomatic)  Explosives    NaN\n",
              "4  1970      1    0  ...      Government (Diplomatic)  Incendiary    NaN\n",
              "\n",
              "[5 rows x 18 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hBTopJYHyzo1",
        "outputId": "7586d41e-0c83-457d-cd9f-010cfe917377"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(181691, 18)"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aP5SOZloy5zo",
        "outputId": "4dd55a5a-b485-4cc3-bd42-9c1e85d6296b"
      },
      "source": [
        "df.isnull().sum()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year               0\n",
              "Month              0\n",
              "day                0\n",
              "Country            0\n",
              "State            421\n",
              "Region             0\n",
              "City             434\n",
              "latitude        4556\n",
              "longitude       4557\n",
              "Attacktype         0\n",
              "kill           10313\n",
              "Wound          16311\n",
              "target1          636\n",
              "summary        66129\n",
              "Group              0\n",
              "Targettype         0\n",
              "Weapon             0\n",
              "motive        131130\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Sr8B2d9zA1F"
      },
      "source": [
        "df['Wound']=df['Wound'].fillna(0)\n",
        "df['kill']=df['kill'].fillna(0)"
      ],
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fZi3wusEzHDt"
      },
      "source": [
        "df['Casualities']=df['kill']+df['Wound']"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oxDGnTHgzMdN",
        "outputId": "6623d693-91cc-4bdc-8d1e-6ddee0cbb444"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 181691 entries, 0 to 181690\n",
            "Data columns (total 19 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   State        181270 non-null  object \n",
            " 5   Region       181691 non-null  object \n",
            " 6   City         181257 non-null  object \n",
            " 7   latitude     177135 non-null  float64\n",
            " 8   longitude    177134 non-null  float64\n",
            " 9   Attacktype   181691 non-null  object \n",
            " 10  kill         181691 non-null  float64\n",
            " 11  Wound        181691 non-null  float64\n",
            " 12  target1      181055 non-null  object \n",
            " 13  summary      115562 non-null  object \n",
            " 14  Group        181691 non-null  object \n",
            " 15  Targettype   181691 non-null  object \n",
            " 16  Weapon       181691 non-null  object \n",
            " 17  motive       50561 non-null   object \n",
            " 18  Casualities  181691 non-null  float64\n",
            "dtypes: float64(5), int64(3), object(11)\n",
            "memory usage: 26.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "XjULGBpAzhan",
        "outputId": "87438c5f-09ea-47be-da47-dbd53dc35bad"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 54,
      "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>kill</th>\n",
              "      <th>Wound</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>181691.000000</td>\n",
              "      <td>181691.000000</td>\n",
              "      <td>181691.000000</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>2.266860</td>\n",
              "      <td>2.883296</td>\n",
              "      <td>5.150156</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>11.227057</td>\n",
              "      <td>34.309747</td>\n",
              "      <td>40.555416</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  ...          Wound    Casualities\n",
              "count  181691.000000  181691.000000  ...  181691.000000  181691.000000\n",
              "mean     2002.638997       6.467277  ...       2.883296       5.150156\n",
              "std        13.259430       3.388303  ...      34.309747      40.555416\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": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q31CLM293KD5"
      },
      "source": [
        "##**Data Analysis**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 655
        },
        "id": "w3mV3cyxzls6",
        "outputId": "520c4711-d8e5-4288-e45b-56183a86ad30"
      },
      "source": [
        "year=df[\"Year\"].unique()\n",
        "years_count = df[\"Year\"].value_counts(dropna = False).sort_index()\n",
        "plt.figure(figsize = (18,10))\n",
        "sns.barplot(x = year,y = years_count,palette = \"tab10\")\n",
        "plt.xticks(rotation = 50)\n",
        "plt.xlabel(\"Attacking Year\",fontsize=20)\n",
        "plt.ylabel(\"Number of Attacks Each Year\",fontsize=20)\n",
        "plt.title(\"Attacks In Years\",fontsize=25)\n",
        "plt.show()"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AAACAubDjti4AAAAA5tl773Pfdd/jvu977wwqmX9GcgAAAABzQcgBAAAAzAUhBwAAADAXhBwAAADAXBByAAAAAHNByAEAAADMBSEHAAAAMBeEHAAAAMBcEHIAAAAAc0HIAQAAAMwFIQcAAAAwF4QcAAAAwFwQcgAAAABzQcgBAAAAzAUhBwAAADAXhBwAAADAXBByAAAAAHNByAEAAADMBSEHAAAAMBeEHAAAAMBcEHIAAAAAc0HIAQAAAMwFIQcAAAAwF4QcAAAAwFzYpiFHVR1bVRdV1ScWtf96VX26qs6qqpdNtP9uVZ1dVZ+pqkMn2g8b286uqudMtO9bVR8Y299QVTttzjcDAAAANtu2HslxXJLDJhuq6n5JDk9y5+6+Y5JXjO13SPLIJHccr/mrqtqhqnZI8pdJHpTkDkkeNfZNkpcmeWV33zbJpUmeuOHfCAAAANgmtmnI0d3vS3LJouanJHlJd39n7HPR2H54khO7+zvd/fkkZye5+/g6u7vP6e7vJjkxyeFVVUnun+RN4/XHJ/n5Df1CAAAAwDazrUdyLOXHktx7nGby3qq629i+V5LzJ/pdMLYt136zJJd195WL2pdUVUdV1RlVdcbFF188o68CAAAAbJbtMeTYMclNkxyU5HeSvHEclbGhuvuY7j6wuw/csmXLRj8OAAAAmLEdt3UBS7ggyT93dyf5YFVdneTmSb6Y5JYT/fYe27JM+9eS7FpVO46jOSb7AwAAAHNmexzJ8ZYk90uSqvqxJDsl+WqSk5M8sqp2rqp9k+yX5INJPpRkv3EnlZ0yLE568hiSvCfJEeN9j0xy0qZ+EwAAAGDTbNORHFX1+iQHJ7l5VV2Q5OgkxyY5dtxW9rtJjhwDi7Oq6o1JPpnkyiRP7e6rxvs8LckpSXZIcmx3nzU+4tlJTqyqP0rykSSv3bQvBwAAAGyqbRpydPejljn1y8v0f1GSFy3R/rYkb1ui/ZwMu68AAAAAc257nK4CAAAAMDUhBwAAADAXhBwAAADAXBByAAAAAHNByAEAAADMBSEHAAAAMBeEHAAAAMBcEHIAAAAAc0HIAQAAAMwFIQcAAAAwF4QcAAAAwFwQcgAAAABzQcgBAAAAzAUhBwAAADAXhBwAAADAXBByAAAAAHNByAEAAADMBSEHAAAAMBeEHAAAAMBcEHIAAAAAc0HIAQAAAMwFIQcAAAAwF4QcAAAAwFwQcgAAAABzQcgBAAAAzIUdt3UBAAAAwHT+4plvXfc9nvbHD51BJdsXIzkAAACAuSDkAAAAAOaCkAMAAACYC0IOAAAAYC4IOQAAAIC5IOQAAAAA5oKQAwAAAJgLQg4AAABgLgg5AAAAgLkg5AAAAADmgpADAAAAmAtCDgAAAGAuCDkAAACAuSDkAAAAAOaCkAMAAACYC0IOAAAAYC4IOQAAAIC5IOQAAAAA5oKQAwAAAJgLQg4AAABgLgg5AAAAgLkg5AAAAADmgpADAAAAmAtCDgAAAGAuCDkAAACAuSDkAAAAAObCNg05qurYqrqoqj6xxLlnVlVX1c3H46qqV1XV2VX1sao6YKLvkVX12fF15ET7Xavq4+M1r6qq2pxvBgAAAGy2bT2S47gkhy1urKpbJnlgkvMmmh+UZL/xdVSSV499b5rk6CT3SHL3JEdX1W7jNa9O8qsT113rWQAAAMB82KYhR3e/L8klS5x6ZZJnJemJtsOTnNCD05PsWlV7Jjk0yandfUl3X5rk1CSHjedu3N2nd3cnOSHJz2/k9wEAAAC2nW09kuNaqurwJF/s7o8uOrVXkvMnji8Y21Zqv2CJ9uWee1RVnVFVZ1x88cXr+AYAAADAtrBdhRxVdYMkz03yvM1+dncf090HdveBW7Zs2ezHAwAAAOu0XYUcSW6TZN8kH62qc5PsneTDVbVHki8mueVE373HtpXa916iHQAAAJhD21XI0d0f7+4f6e59unufDFNMDujuryQ5Ocljx11WDkpyeXd/OckpSR5YVbuNC44+MMkp47mvV9VB464qj01y0jb5YgAAAMCG29ZbyL4+yX8luV1VXVBVT1yh+9uSnJPk7CR/m+TXkqS7L0nywiQfGl8vGNsy9nnNeM3nkrx9I74HAAAAsO3tuC0f3t2PWuX8PhOfO8lTl+l3bJJjl2g/I8n+66sSAAAA+GGwXU1XAQAAANhaQg4AAABgLgg5AAAAgLkg5AAAAADmgpADAAAAmAtCDgAAAGAuCDkAAACAubDjWjtW1fOSfL67/24D6wEAAAC2gRf98hEzuc/v/f2bZnKfrTHNSI7fT3KnjSoEAAAAYD2mCTm+mOTGG1UIAAAAwHpME3K8OckDqur6G1UMAAAAwNaaJuQ4OsmlSd5SVftvUD0AAAAAW2XNC48m+WiSnZIckOSjVfXtJBcl6UX9urtvM6P6AAAAANZkmpDjOkm+l+S8Re21yjEAAADAhltzyNHd+2xgHQAAAADrMs2aHAAAAADbLSEHAAAAMBemWZMjSVJVOye5W5K9kuy8VJ/uPmGddQEAAABMZaqQo6qekORlSXZbrkuG3VaEHAAAAMCmWvN0lao6LMlrknw5yW9nCDROSvJ7SU4dj/8pyRNmXyYAAADAyqZZk+OZSb6W5J7d/cqx7b+7+yXdfViSX03ysCSfm3GNAAAAAKuaJuQ4IMlbu/sbS13f3a9N8v4MIzsAAAAANtU0IccuGaaqLPh2khsv6nNGknustygAAACAaU0TcnwlyZaJ4y8nud2iPjdJssN6iwIAAACY1jQhx1n5wVDj35McUlX3TpKq2j/JI8Z+AAAAAJtqmpDj7UnuVVW3GI9fluSqJKdV1cVJPprkRkn+aLYlAgAAAKxumpDjb5LsleSrSdLdn0xySIbw46tJ3pnkQd39tlkXCQAAALCaHdfasbu/l+TCRW2nJ3nIrIsCAAAAmNY0IzkAAAAAtltrHsmxoKp+Ismjk/x4kl26+wFj+z5J7p7k1O6+dIY1AgAAAKxqqpCjql6Q5Lm5ZgRIT5y+TpLXJ/mtJH8+k+oAAAAA1mjN01Wq6pFJfj/JqUnukuTFk+e7+5wkZyT5uVkWCAAAALAW06zJ8RtJzk5yeHd/LMl3l+jzqST7zaIwAAAAgGlME3LcKckp3b1UuLHgS0l2X19JAAAAANObJuSoJFev0mf3JN/e+nIAAAAAts40Icdnk9xzuZNVdZ0kP53krPUWBQAAADCtaUKONyY5oKqeucz55ya5bZJ/XHdVAAAAAFNacQvZqrpOdy9MUfnTJA9P8rKqekTG7WOr6hVJ7p3kwCSnJzlm48oFAAAAWNpqIzneX1X7Jkl3fyvJ/ZL8XZIDktw9wzodz0hy1yR/n+Sw7r5y48oFAAAAWNqKIzmS3CPJf1fV07v72O6+PMnjquoZSe6W5GZJLk/ywe6+eINrBQAAAFjWaiHHL2aYfvK3VfWzSY7q7q919yVJTtnw6gAAAADWaMXpKt395iT7Zwg0fiHJx6rqgZtRGAAAAMA0Vt1dpbsv7O4HJ3lakpskeXtVvaqqdt7w6gAAAADWaM1byHb3X2VYcPSMJE9NckVVXbXEy8KjAAAAwKZbbU2Oxa6T5LoZdlVZzkrnAAAAADbEmkdyVNXTkpyZ5C5JXp3kBt19naVeG1UsAAAAwHJWHclRVbsneV2SQ5NclOSI7n77RhcGAAAAMI0VR11U1eFJPp7ksCRvTXInAQcAAACwPVptasmbk1w/yf/p7p/v7q9uQk0AAAAAU1ttusoHk/xyd5+9GcUAAAAAbK3VQo57dfdVm1IJAAAAwDqsOF1FwAEAAAD8sNim271W1bFVdVFVfWKi7eVV9emq+lhVvbmqdp0497tVdXZVfaaqDp1oP2xsO7uqnjPRvm9VfWBsf0NV7bR53w4AAADYTNs05EhyXIadWyadmmT/7v6JJP+T5HeTpKrukOSRSe44XvNXVbVDVe2Q5C+TPCjJHZI8auybJC9N8sruvm2SS5M8cWO/DgAAALCtrLYmx4bq7vdV1T6L2t45cXh6kiPGz4cnObG7v5Pk81V1dpK7j+fO7u5zkqSqTkxyeFV9Ksn9kzx67HN8kucnefXsvwkAAAA/7O715/da9z3e/+vvn0ElbK1tPZJjNU9I8vbx815Jzp84d8HYtlz7zZJc1t1XLmpfUlUdVVVnVNUZF1988YzKBwAAADbLdhtyVNXvJbkyyT9sxvO6+5juPrC7D9yyZctmPBIAAACYoW06XWU5VfW4JA9Jckh399j8xSS3nOi299iWZdq/lmTXqtpxHM0x2R8AAACYM1OFHFV10wxTSO6eZLckOyzRrbv7kK0tqKoOS/KsJPft7ismTp2c5B+r6k+S3CLJfkk+mKSS7FdV+2YIMR6Z5NHd3VX1ngxrepyY5MgkJ21tXQAAAMD2bc0hR1XdPslpSbZkCBaW0yucW3zP1yc5OMnNq+qCJEdn2E1l5ySnVlWSnN7dT+7us6rqjUk+mWEay1O7+6rxPk9LckqG0OXY7j5rfMSzk5xYVX+U5CNJXrvW2gAAAIAfLtOM5HhFkh9J8pIkxyQ5fyFk2Frd/aglmpcNIrr7RUletET725K8bYn2c3LNDiwAAADAHJsm5Lh3kn/t7uduVDEAAAAAW2ua3VUqw1QRAAAAgO3ONCHHmUlut1GFAAAAAKzHNCHHC5I8uKoO3qBaAAAAALbasmtyVNVjl2g+Kck7x11Rzkxy2VLXdvcJsykPAAAAYG1WWnj0uFx7O9iFrWN/ZXwtdb6TCDkAAACATbVSyPH4TasCAAAAYJ2WDTm6+/jNLAQAAABgPaZZeBQAAABgu7XmkKOq7lpVz6uq3Zc5v8d4/i6zKw8AAABgbaYZyfHMJE9KctEy5y9M8sQkz1hvUQAAAADTmibk+Kkk7+nuxTuqJEnG9ncnudcsCgMAAACYxjQhxx5JLlilz5eS7Ln15QAAAABsnWlCjiuSbFmlz5Yk39n6cgAAAAC2zjQhx38nObyqbrjUyaq6cZLDx34AAAAAm2qakOOYDCM1Tq2qn5g8UVV3TvLOJDcf+wEAAABsqh3X2rG731BVD0ry2CQfqaoLk3wxyV5Jdk9SSU7o7tdvSKUAAAAAK5hmJEe6+3FJnpzkkxkWIr3r+H5WkqPG8wAAAACbbs0jORZ09zFJjqmqGyTZNcll3X3FzCsDAAAAmMLUIceCMdgQbgAAAADbhammqwAAAABsr6YayVFVuyT5tSSHZlhwdOclunV332YGtQEAAACs2ZpDjqraNcl/JLlDkq8nuXGSy5PslOT6Y7cvJfnejGsEAAAAWNU001V+P0PA8cQku41tr0xywyT3TPLhJJ9L8uOzLBAAAABgLaYJOX4uyfu6+3Xd3QuNPTg9yYOT3D7J7824RgAAAIBVTRNy3DLJmRPHV2diTY7uvijJ25M8cjalAQAAAKzdNCHHFRmCjQWXJ9ljUZ8LMyxICgAAALCppgk5zs8wmmPBJ5Pcp6om7/HTSb4yi8IAAAAApjHNFrLvTfKIqqpxTY43JHlVkrdV1VuTHJzkoCSvnnmVAAAAwA+lT73o3eu+x4//3v3X1G+akOP4DNvF7p1hVMdfJ7l/kp9P8sCxz/sz7MICAAAAsKnWHHJ094eTPGXi+MokD6uquya5bZJzk3you69e+g4AAAAAG2eakRxL6u4z84O7rgAAAABsumkWHl1VVd24qm41y3sCAAAArMWKIUdVXVVVf7Co7Zeq6p+XueTpST4/q+IAAAAA1mq1kRw1vibdPsnhG1MOAAAAwNaZ6XQVAAAAgG1FyAEAAADMBSEHAAAAMBeEHAAAAMBcEHIAAAAAc2HHNfR5XFUdPHG8T5JU1buX6LvP+ksCAAAAmN5aQo59snR4cfAy/XsrawEAAADYaquFHPfblCoAAAAA1mnFkKO737tZhQAAAACsh4VHAQAAgLkg5AAAAADmgpADAAAAmAtCDgAAAGAuCDkAAACAuSDkAAAAAOaCkAMAAACYCzuu9wZVdbMk90lyRZJ/6+6r1l0VAAAAwJTWPJKjqp5SVR+oqptOtN01yaeTvCnJ25L8Z1XtMvsyAQAAAFY2zXSVX0rS3X3JRNvLk+yW5HUZQo67JXnyWm9YVcdW1d9KPNgAACAASURBVEVV9YmJtptW1alV9dnxfbexvarqVVV1dlV9rKoOmLjmyLH/Z6vqyIn2u1bVx8drXlVVNcX3BQAAAH6ITBNy7JfkYwsHVXXzJPdN8truflJ3PzTJh5I8eop7HpfksEVtz0nyru7eL8m7xuMkedBYw35Jjkry6rGOmyY5Osk9ktw9ydELwcjY51cnrlv8LAAAAGBOTBNy3CzJRRPH9xrf3zzR9u9Jbr3WG3b3+5Jcsqj58CTHj5+PT/LzE+0n9OD0JLtW1Z5JDk1yandf0t2XJjk1yWHjuRt39+nd3UlOmLgXAAAAMGemCTkuSXLzieP7Jrk6yX9OtHWS662zpt27+8vj568k2X38vFeS8yf6XTC2rdR+wRLtS6qqo6rqjKo64+KLL17fNwAAAAA23TQhx6eSPLSqblZVuyZ5ZJIPdffXJ/rskyGYmIlxBEbP6n6rPOuY7j6wuw/csmXLZjwSAAAAmKFpQo4/S7JnhhER52cYYfFXi/oclOSj66zpwnGqScb3hSkyX0xyy4l+e49tK7XvvUQ7AAAAMIfWHHJ098kZdk45K8lnkvx2d//9wvmqOjjJDZOcss6aTk6ysEPKkUlOmmh/7LjLykFJLh+ntZyS5IFVtdu44OgDk5wynvt6VR007qry2Il7AQAAAHNmx2k6d/cxSY5Z5txpGbaTXbOqen2Sg5PcvKouyLBLykuSvLGqnpjkC0keMXZ/W5IHJzk7yRVJHj8+95KqemGGnV2S5AUT29z+WoYdXK6f5O3jCwAAAJhDaw45quonuvtja+j3xO5+7Vru2d2PWubUIUv07SRPXeY+xyY5don2M5Lsv5ZaAAAAgB9u06zJ8baq2nulDlX1K0n+en0lAQAAAExvmpDjRkneMe6sci1V9fAMoyk+O4vCAAAAAKYxTcjxC0lum+QtVbXT5ImqOjzJPyQ5N0tMNQEAAADYaNPsrvLuJE9Mcu8kk7uqPCjJG5J8Kcn9x11NAAAAADbVtLur/MO4LseLq+qVSf4lyf9L8tUMAcf5G1AjAAAAwKqmCjmSpLtfWlW3TPKbGbZovSzJA7r7nFkXBwAAALBWU4cco19PcosMU1cO6e5Pz64kAAAAgOktG3JU1dVJeg33+GhVTR53d29teAIAAACwVVYKI96XtYUcAAAAANvcsiFHdx+8iXUAAAAArMuat5AFAAAA2J6tOeSoqutX1a2qaqdlzu88nr/e7MoDAAAAWJtpRnI8L8lnktxwmfO7JPl0kueutygAAACAaU0Tcjwoyb919yVLnRzb/y3JQ2ZRGAAAAMA0pgk59knyP6v0+Z+xHwAAAMCmmibkuG6Sq1fp00msyQEAAABsumlCjnOS3HeVPgcn+cJWVwMAAACwlaYJOU5OcteqetZSJ6vqOUkOSPKWWRQGAAAAMI0dp+j7iiSPSfLiqnpEkncm+WKSvZIcmuQuSc5L8rJZFwkAAACwmjWHHN19aVUdnOQfkxyUYdRGJ6mxy38m+eXuvnTWRQIAAACsZpqRHOnuc5Pcs6oOyBB07JrksiSnd/eHZ18eAAAAwNpMFXIsGAMNoQYAAACw3Zhm4VEAAACA7dbUIzmqas8kh2RYcHTnJbp0d79wvYUBAAAATGOqkKOq/jDJcxZdVxkWIJ38LOQAAAAANtWap6tU1WOS/EGSf09yRIZA4/gkj07yt0muTnJikvvPvkwAAACAlU0zkuMpSS5Iclh3X1lVSXJud5+Y5MSqenOSf03y+tmXCQAAALCyaRYevVOSt3X3lRNtOyx86O5TkpyS5HdmVBsAAADAmk0Tclw3ydcmjr+V5CaL+nwiyZ3XWxQAAADAtKYJOb6cZM+J4/OS/MSiPrdIcmUAAAAANtk0IcdHkuw/cfzuJPeuql+pql2q6mczLEj6kVkWCAAAALAW04Qc/5Jk/6radzx+SZLLkxyX5OtJTs6w48rvz7JAAAAAgLVY8+4q3X1chkBj4fj8qrpbkmcmuU2Sc5P8VXd/fLYlAgAAAKxumi1kr6W7P5/kaTOqBQAAAGCrrXm6SlU9r6rus0qfe1fV89ZfFgAAAMB0plmT4/lJDl6lz32SHL21xQAAAABsrWlCjrW4bpKrZ3xPAAAAgFXNOuQ4IMlXZ3xPAAAAgFWtuPBoVb17UdPjqurgJbrukOSWSW6d5PWzKQ0AAABg7VbbXeXgic+dZJ/xtdjVSb6W5A1Jnj6DugAAAGBZ573gTuu+x62e9/EZVML2ZMWQo7u/P52lqq5O8vzufsGGVwUAAAAwpdVGckx6fJKPbFQhAAAAAOsxzcKj983SU1W+r6oeUlXHrqsiAAAAgK0wTcjxuCR3WaXPnZMcudXVAAAAAGylWW8hu3OSq2Z8TwAAAIBVTRty9HInqmrnJPdJ8pV1VQQAAACwFVZceLSqzlnU9PSqevwSXXdIsiXDSI6/nlFtAAAAAGu22u4q18k1ozc6SY2vxb6X5ONJ3pXkj2ZWHQAAAMAarRhydPc+C5+r6uokr+zuF2x0UQAAAADTmmZNjvslOX6lDlV1nao6fH0lAQAAAExvtekq39fd713uXFXdOsmTkjw+yZ4Z1ugAAAAA2DRrDjkWq6odkhye5KgkD8g163f822xKAwAAAFi7abeQTVX9aFW9OMkFSf4pyc8k+VqGBUd/tLsPnUVhVfX0qjqrqj5RVa+vqutV1b5V9YGqOruq3lBVO419dx6Pzx7P7zNxn98d2z9TVTOpDQAAANj+rCnkqKodq+rhVXVqkv9J8uwkuyX55wy7rZzU3c/r7i/Moqiq2ivJbyQ5sLv3zzD95ZFJXpph8dPbJrk0yRPHS56Y5NKx/ZVjv1TVHcbr7pjksCR/NY5AAQAAAObMiiFHVe1XVS9L8sUkJyY5JMlHkvx6kj27++EbWNuOSa5fVTsmuUGSLye5f5I3jeePT/Lz4+fDc82iqG9KckhV1dh+Ynd/p7s/n+TsJHffwJoBAACAbWS1NTk+k2GdjQuT/EmS47r7rI0uqru/WFWvSHJekm8leWeSM5Nc1t1Xjt0uSLLX+HmvJOeP115ZVZcnudnYfvrErSev+QFVdVSG9UVyq1vdaqbfBwAAANh4a5mu0knenuT/bUbAkSRVtVuGURj7JrlFkl0yTDfZMN19THcf2N0HbtmyZSMfBQAAAGyA1UKOP8gwmuLxSd5fVZ+sqmdV1Z4bXNcDkny+uy/u7u9lWPvjXkl2HaevJMneGabRZHy/ZTKsH5LkJhkWQ/1++xLXAAAAAHNkxZCju1/U3T+a5EFJ3pzkNklekuS8qvrXqnrEBtV1XpKDquoG49oahyT5ZJL3JDli7HNkkpPGzyePxxnPv7u7e2x/5Lj7yr5J9kvywQ2qGQAAANiG1rS7Snef0t1HZBgV8dwkX8gQfLw+w3SWu1TVXWdVVHd/IMMCoh9O8vGxzmMy7OryjKo6O8OaG68dL3ltkpuN7c9I8pzxPmcleWOGgOQdSZ7a3VfNqk4AAABg+7HawqM/oLsvyjCS4yVVdUiGhToPT3Jgkg9W1ceSvKa7/3K9hXX30UmOXtR8TpbYHaW7v51kyZ1euvtFSV603noAAACA7duaRnIspbvf1d2/lGGdi2cl+WySOyd51YxqAwAAAFizrQ45FnT3V7v7Fd19+yT3zzCFBQAAAGBTTTVdZTXdfVqS02Z5TwAAAIC1WPdIDgAAAIDtgZADAAAAmAtCDgAAAGAuCDkAAACAuSDkAAAAAObCsiFHVV1SVc+aOH5eVd1nc8oCAAAAmM5KIzl2TXK9iePnJzl4I4sBAAAA2ForhRwXJtl7swoBAAAAWI8dVzh3epJfqaqrknx5bDu4qla7Z3f3C2dRHAAAAMBarRRy/E6SH0vyfybaDs7qU1Y6iZADAAAA2FTLhhzdfXZV3SnJvkn2SnJakuOSHL8plQEAAABMYaWRHOnuq5N8Lsnnxmkq53b3ezejMAAAAIBprBhyTOrulRYpBQAAANim1hxyTKqqvZP8ZIZtZi9P8uHuvmCWhQEAAABMY6qQo6puneRvkvzMEudOTfLk7j53NqUBAAAArN2aQ46q2iPJf2RYhPTcJO/LsLXsnknuneSBSf6jqg7s7q/MvlQAAACA5U0zkuMPMgQcz07yJ9191cKJqtohydOTvCzJ7yd52iyLBAAAAFjNNIuJ/mySd3b3yycDjiTp7qu6+xVJ3pnkIbMsEAAAAGAtpgk59khy5ip9zhz7AQAAAGyqaUKOy5PcepU+txr7AQAAAGyqaUKO/0hyRFXdc6mTVXWPJA8f+wEAAABsqmkWHn1RhnU53ltVJyZ5T4bdVfZIcnCSRyW5Osn/nXGNAAAAAKtac8jR3R+uqiOSHJ/kMUkePXG6klyS5Andvdq6HQAAAAAzN81IjnT3v1TVrZIcnuSAJDfJsAbHR5K8pbv/d/YlAgAAAKxuqpAjScYg4x/HFwAAAMB2YZqFRwEAAAC2W0IOAAAAYC4IOQAAAIC5IOQAAAAA5oKQAwAAAJgLQg4AAABgLqw55Kiqd1fVCzeyGAAAAICtNc1IjoOS7LBRhQAAAACsxzQhx2eT3HKjCgEAAABYj2lCjtck+dmqutVGFQMAAACwtXacou9bk/xMkvdX1UuTfCjJV5L04o7dfd5sygMAAABYm2lCjnMyBBqV5M9W6NdT3hcAAABg3aYJI07IEqM2AAAAALYHaw45uvtxG1gHAAAAwLpMs/AoAAAAwHZrq9bOqKrbJ/nxJDfs7r+bbUkAAAAA05tqJEdV3aWqzkhyVpI3JTlu4tx9q+qKqnrobEsEAAAAWN2aQ46q+rEkpyW5XYbdVd6+qMv7klyS5IhZFQcAAACwVtOM5Dg6yU5J7tHdz0jyocmT3d1J/ivJ3WZXHgAAAMDaTBNyHJLkn7v7kyv0OT/JLdZXEgAAAMD0pgk5dktywSp9KsNoDwAAAIBNNU3IcWGS267S544ZRnMAAAAAbKppQo53J3loVd1uqZNVdbcMU1pOmUVhAAAAANOYJuR4cZIrk7yvqp6Sce2NqrrjePzWJN9I8oqZVwkAAACwijWHHN39mSS/mGHNjb9I8qQMa3B8LMlfju0P6+7zZlFYVe1aVW+qqk9X1aeq6qeq6qZVdWpVfXZ8323sW1X1qqo6u6o+VlUHTNznyLH/Z6vqyFnUBgAAAGx/dpymc3e/o6r2TXJkkoOS3CzJ5UlOT/K67r5khrX9WZJ3dPcRVbVTkhskeW6Sd3X3S6rqOUmek+TZSR6UZL/xdY8kr05yj6q6aYatbw9M0knOrKqTu/vSGdYJAAAAbAemCjmSpLsvyxBA/NnsyxlU1U2S3CfJ48ZnfjfJd6vq8CQHj92OT3JahpDj8CQndHcnOX0cBbLn2PfUhfClqk5NcliS129U7QAAAMC2Mc2aHJtp3yQXJ3ldVX2kql5TVbsk2b27vzz2+UqS3cfPe+UHd3W5YGxbrv1aquqoqjqjqs64+OKLZ/hVAAAAgM0wdchRVY+pqndV1SVVdeX4/q6qeswM69oxyQFJXt3dP5nkfzNMTfm+cdRGz+qB3X1Mdx/Y3Qdu2bJlVrcFAAAANsmaQ46qum5VnZTkhCT3S3KjDKMtbjQen1BVJ1XVdWdQ1wVJLujuD4zHb8oQelw4TkPJ+H7ReP6LSW45cf3eY9ty7QAA8P+1d99hspRV4se/55IRyUGWLKBiWFAQAxIEJSlBRdcEJsRdBRMgKIqIoigqIigSJYggwrqAqyKCwAprgB8iKgZkUcCwrph3VcL5/fG+LcUwc29Xd/W90z3fz/PMM9NVNafPW13VVXXqrSpJ0oRp05PjrcBuwDcoRY2lM3NNYGlge+CbwLMp98gYSmb+Erg9Ih5ZB+0AfB+4mHLTU+rvi+rfFwP71KesPBn4fb2s5VJgx4hYqT6JZcc6TJIkSZIkTZg2Nx7dB7gF2K7eCBSAzLwXuDIitgO+S7lZ6Hs6yO0A4Jz6ZJVbgVdQijLnR8SrgJ8CL6jTfgHYteb3v3VaMvOuiHg38K063ZEdPwFGkiRJkiTNEm2KHGsDxzcLHE2Z+dd6OcvrukgsM79NefTrVDtMM23O9L6ZeTpwehc5SZIkSZKk2avN5So/BxZ0v40l6nSSJEmSJEkLVZsix6eBvSJi+elGRsSKwF7AOV0kJkmSJEmS1EabIseRwHXANyPixRGxdn3iytr18bFfp9x89N2jSFSSJEmSJGl+ZrwnR0TcB+R0o4CzZxi+MfB/84srSZIkSZI0CvMrRlzN9EUOSZIkSZKkWWfGIkdmbrcQ85AkSZIkSRpKm3tySJIkSZIkzVoWOSRJkiRJ0kRofYPQiNgN2AxYG1himkkyM181bGKSJEmSJElt9F3kiIj1gEuAx1CepDKTBCxySJIkSZKkhapNT46PAo8FTgfOAu4E7hlFUpIkSZIkSW21KXJsD1yamfuOKhlJkiRJkqRBtbnx6N3ATaNKRJIkSZIkaRhtihzXUC5XkSRJkiRJmnXaFDkOB7aJiBeOKhlJkiRJkqRB9X1Pjsy8ISJ2AP49Il4D/D/g99NPmu/uKkFJkiRJkqR+tHmE7ArAe4GVgW3rz3QSsMghSZIkSZIWqjZPVzkWeDrwFeBs4Of4CFlJkiRJkjRLtClyPBu4NjN3HFUykiRJkiRJg2pz49FlgGtHlYgkSZIkSdIw2hQ5bgAePqpEJEmSJEmShtGmyPFuYLeIeNqokpEkSZIkSRpUm3tyrAl8HrgiIj4NXM/0j5AlM8/qIDdJkiRJ0gTY/ODhDxGvP2afDjLRpGtT5DiD8njYAPapPzllmqjDLHJIkqQH2Or4rYaOcc0B13SQiSRJmlRtihyvGFkWkiRJkiRJQ+q7yJGZZ44yEUmSJEmSpGG0ufGoJEmSJEnSrGWRQ5IkSZIkTYS+L1eJiFv7nDQzc8MB85EkSZIkSRpImxuPzuPBT1MBWBFYof79c+DuYZOSJEmSJElqq82NR9efaVxEbAR8FHgIsNPwaUmSJEmSFrZNL7h06Bg37uUhoRadNj05ZpSZt0TEc4HvAu8E3tpFXEmSJEmaBEccccSsiCFNus5uPJqZfwEuA17UVUxJkiRJkqR+ddKTo+Ee4GEdx5QkSZIkTXH+Z7ccOsYLnv/NDjKRZo/OihwRsSrwHOD2rmJKkqRF42dHPm7oGOseflMHmUiSJPWvzSNkD59PjHWAPShPWfF+HJIkSZIkaaFr05PjiAWM/wPwnsz8wODpSJIkSZIkDaZNkePpMwy/D/gt8IPMvGf4lCRJkiRJktrru8iRmVeNMhFJkiRJkqRhdPYIWUmSJEmSpEVpvj05ImKgIkhm3jdYOpIkSZIkSYNZ0OUqdw8QM/uIK0mSJEmS1KkFFSNupxQt+rEcsMpw6UiSJEmSJA1mvkWOzFx/QQEiYgngAOCwOui2obOSJEmSJElqaagbj0bE84GbgWOAAN4CbNJBXpIkSZIkSa0MdO+MiHgq8EHgScA9wEeBIzPztx3mJknSRNn0gkuHjnHjXjt1kIkkSdJkalXkiIgNgfcDz6H03LgAeGtm/mQEuUmSJEmSJPWtryJHRKwMvBN4DbAk8J/AgZn59RHmJkmSJEmS1Lf5FjkiYkngjcChwIrAT4BDM/PChZCbJEmSJElS3xbUk+OHwLrAXZRix8cy896RZyVJkiRJktTSgooc6wFJuf/GQcBBEbGgmJmZ63WQmyRJkiRJUt/6uSdHACvXH0mSJEmSpFlp3vxGZua8QX66Si4iFouIGyLi8/X1BhHxjYi4JSI+U+8ZQkQsVV/fUsev34jx1jr8hxHhc/ckSZIkSZpQnRUkRuQNwM2N1+8Hjs3MjYDfAq+qw18F/LYOP7ZOR0Q8Gngh8BhgZ+DjEbHYQspdkiRJkiQtRLO2yBERawPPAk6trwPYHrigTnImsGf9e4/6mjp+hzr9HsB5mfnXzPwv4BZgy4XTAkmSJEmStDDN2iIH8BHgLcB99fUqwO8y8576+g5grfr3WsDtAHX87+v0fx8+zf88QETsFxHXRcR1v/71r7tshyRJkiRJWghmZZEjIp4N/HdmXr+w3jMzT87MLTJzi9VWW21hva0kSZIkSepIP09XWRS2AnaPiF2BpYHlgeOAFSNi8dpbY23gzjr9ncA6wB0RsTiwAvCbxvCe5v9IkiRJkqQJMit7cmTmWzNz7cxcn3Lj0Csy8yXAV4G96mQvAy6qf19cX1PHX5GZWYe/sD59ZQNgY+CbC6kZkiRJkiRpIZqtPTlmcghwXkS8B7gBOK0OPw04OyJuAe6iFEbIzO9FxPnA94F7gNdl5r0LP21JkkZj84PPGjrG9cfs00EmkiRJi96sL3Jk5pXAlfXvW5nm6SiZ+Rfg+TP8/1HAUaPLUJIkSZIkzQaz8nIVSZIkSZKktixySJIkSZKkiWCRQ5IkSZIkTYRZf08OSZIWhfM/+6BbQLX2guf7QC9JkqSFyZ4ckiRJkiRpIljkkCRJkiRJE8EihyRJkiRJmggWOSRJkiRJ0kSwyCFJkiRJkiaCRQ5JkiRJkjQRfISsJC1EV22z7dAxtr36qg4ykSRJkiaPRQ5JkjS2LBxKkqQmL1eRJEmSJEkTwSKHJEmSJEmaCBY5JEmSJEnSRLDIIUmSJEmSJoJFDkmSJEmSNBEsckiSJEmSpIngI2QlSZIkqbr5qCuGjrHJYdt3kImkQVjkkCSNtSOOOGJWxJAWhS4OxsADMknS5PByFUmSJEmSNBEsckiSJEmSpIng5SqSJElTnHDgJUPH2P9Du3WQiSRJasMihyRJ0kJw1Ev3GjrGYZ+6oINMJEmaXF6uIkmSJEmSJoJFDkmSJEmSNBEsckiSJEmSpIlgkUOSJEmSJE0EbzwqSWPOp0BIkiRJhUUOSZrGVsdvNXSMaw64poNMFg2fAiFJkqRx5OUqkiRJkiRpIljkkCRJkiRJE8HLVSRJkiSNJS+vlDSVPTkkSZIkSdJEsMghSZIkSZImgperSJrWphdcOnSMG/fa6UHDNj/4rKHjXn/MPkPHkCRJkjR57MkhSZIkSZImgkUOSZIkSZI0EbxcRdLY+9mRjxs6xrqH39RBJpIkSZIWJYsckqSF5uajrhg6xiaHbd9BJpIkSZpEXq4iSZIkSZImgkUOSZIkSZI0ESxySJIkSZKkiWCRQ5IkSZIkTQSLHJIkSZIkaSJY5JAkSZIkSRPBIockSZIkSZoIFjkkSZIkSdJEsMghSZIkSZImgkUOSZIkSZI0ESxySJIkSZKkiWCRQ5IkSZIkTQSLHJIkSZIkaSLMyiJHRKwTEV+NiO9HxPci4g11+MoRcVlE/Lj+XqkOj4j4aETcEhHfiYgnNGK9rE7/44h42aJqkyRJkiRJGq1ZWeQA7gEOzMxHA08GXhcRjwYOBS7PzI2By+trgF2AjevPfsCJUIoiwDuBJwFbAu/sFUYkSZIkSdJkWXxRJzCdzPwF8Iv69x8j4mZgLWAPYLs62ZnAlcAhdfhZmZnA1yNixYhYs057WWbeBRARlwE7A+cutMZIkiRJc9wJB17SSZz9P7RbJ3EkTa7Z2pPj7yJifeDxwDeANWoBBOCXwBr177WA2xv/dkcdNtPw6d5nv4i4LiKu+/Wvf91Z/pIkSZIkaeGY1UWOiFgOuBB4Y2b+oTmu9trIrt4rM0/OzC0yc4vVVlutq7CSJEmSJGkhmZWXqwBExBKUAsc5mfmvdfCvImLNzPxFvRzlv+vwO4F1Gv++dh12J/df3tIbfuUo85YkSdJ42/zgs4aOcf0x+3SQiSSprVnZkyMiAjgNuDkzP9wYdTHQe0LKy4CLGsP3qU9ZeTLw+3pZy6XAjhGxUr3h6I51mCRJkiRJmjCztSfHVsDewE0R8e067G3A0cD5EfEq4KfAC+q4LwC7ArcA/wu8AiAz74qIdwPfqtMd2bsJqSRJkiRJmiyzssiRmV8DYobRO0wzfQKvmyHW6cDp3WUnSZKk2WLTC4bvpHvjXjt1kIkkaTaYlZerSJIkSZIktWWRQ5IkSZIkTQSLHJIkSZIkaSJY5JAkSZIkSRPBIockSZIkSZoIFjkkSZIkSdJEsMghSZIkSZImgkUOSZIkSZI0ERZf1AlIGt75n91y6BgveP43O8hEkiRJkhYde3JIkiRJkqSJYJFDkiRJkiRNBIsckiRJkiRpInhPDkmSJI2c94+SJC0M9uSQJEmSJEkTwZ4c0kJ0xBFHzKo4kiRp4fjZkY8bOsa6h9/UQSaSNNnsySFJkiRJkiaCPTkkSZKkMbXV8VsNHeOaA67pIBNJmh3sySFJkiRJkiaCRQ5JkiRJkjQRvFxFkiRJ0t9dtc22Q8fY9uqrOshEktqzJ4ckSZIkSZoIFjkkSZIkSdJEsMghSZIkSZImgkUOSZIkSZI0ESxySJIkSZKkiWCRQ5IkSZIkTQQfIStJkqQHOOKII2ZFDEmS2rLIIc3g5qOuGDrGJodt30EmkiRJkqR+eLmKJEmSJEmaCBY5JEmSJEnSRLDIIUmSJEmSJoJFDkmSJEmSNBG88agmwlEv3WvoGId96oIOMpEkSZIkLSr25JAkSZIkSRPBIockSZIkSZoIXq4yH5sffNbQMa4/Zp8OMpEkSZIkSQtiTw5JkiRJkjQR7MkxIbY6fquhY1xzwDUdZDJ/Jxx4ydAx9v/Qbh1kIkmSJEmaNPbkkCRJkiRJE8EihyRJkiRJmgherrKQ/ezIxw0dY93Db+ogkwW7aptth46x7dVXdZCJJEmSJEkLZk8OSZIkSZI0ESxySJIkSZKkiWCRQ5IkSZIkTQSLHJIkSZIkaSJY5JAkSZIkSRPBIockSZIkSZoIFjkkSZIkSdJEsMghSZIkSZImgkUOSZIkSZI0ESxySJIkSZKkiWCRQ5IkSZIkTYQ5UeSIiJ0j4ocRcUtEHLqo85EkSZIkSd2b+CJHRCwGfAzYBXg08KKIePSizUqSTeI0wgAAIABJREFUJEmSJHVt4oscwJbALZl5a2b+DTgP2GMR5yRJkiRJkjoWmbmocxipiNgL2Dkz962v9waelJn7T5luP2C/+vKRwA/7CL8q8D8dpjvKuOMSc1Rx53qutn9ut39Ucccl5qjijkvMUcWd67nafts/l9s/qrjjEnNUcccl5qjizvVcbX//MdfLzNVmGrl4N/mMv8w8GTi5zf9ExHWZuUXXuYwi7rjEHFXcuZ6r7Z/b7R9V3HGJOaq44xJzVHHneq623/bP5faPKu64xBxV3HGJOaq4cz1X299dzLlwucqdwDqN12vXYZIkSZIkaYLMhSLHt4CNI2KDiFgSeCFw8SLOSZIkSZIkdWziL1fJzHsiYn/gUmAx4PTM/F5H4Vtd3rKI445LzFHFneu52v7RMNfxiDmquOMSc1Rx53qutn80xiXXud7+UcUdl5ijijsuMUcVd67navs7MvE3HpUkSZIkSXPDXLhcRZIkSZIkzQEWOSRJkiRJ0kSwyCHNchERizoHadK4Xmkum+vLv+0fTftHEXdcPquIGMkx1bi0H8YnV5f/0S2vXYqIoe4dOusbOI7GZSUfla7bPxdWxBliLhsRkSO8cc44fSGrW2OyXo1i+VwaYJTr1biYy+vqmCz/blc6jtmLM4r2j8kyNQ+6b39ELNNbrjr8rFaMiHld5hoRq0XEw7uK14i7OrBH/buT5SAilur92UW8UYqIxWD2r1cjXP6X6DpuRCzXW/47ngerRMRimXlfhzFXj4inNpbZLmKuAbwuIpYYtP2z/gt5XETExnWBXLrjL/nFuojTiLd+RKxQH6fbVcyIiE0iYu2IWKqLlbzG3AUgM+/rYj5ExLyI2HvYONPFBQ6v86Crz30ecBrwvPq6k+WgztftI2KriFi+qy/kiHh43XnubPmPiDXr71HsMHf63RcRq3UZrxF3nYhYtsN4ERFPhr+vV0PPh7pe7TZ8dg+OC7wpIv6h45jHRsSmjdfDxoyI2DwiNuoVULpSN/KdrgPjsq2qMTvdXrldmdvbldr+t0fEKRGxQ0Q8ooMcIyKeBN19p9a48yLi4Ij4RERs1XuvYWMCR0bEyRHx9C7yrHED+Cxl3q7Y0T7gPOBC4FnDxpoS83Jg146/U+cBXwbOjYh1ujh4rDE/ERHnAZ18v9Rl6pCI+FBEbB0RG3YVFzgmIj4dES+NiG06iBkR8Qzo9rsaOCoizo6I50fEysPGbMT9SER8MiL26WJ7VZfPfwNOjYjV6jzoYr96HuVpo/80bKwpMb8CbA7cPWXcQDnXmJcA7wUeMeg65dNVOhARnwbWAH4B/Bo4MzO/PWTM44AzMvOG3kIy7IYjIs4A1gJ+C1ycmZ+KGP6MTkScDawM/C9wdmZePEy8GvP9wMHA4Zn5njpsycz82xAxzwP+kJn7DZvflLgXA7/KzFdPM26g+VuXqR2AL2XmyzpIsxf3U8BqwK+AKzLzjA5ingGsCNxG+YI7PTNvHjLmmcDDgLuAa4EvZuYtw2UKEfF24MJefh0t/6cCawL/B3w4M6+NUn0fakenztdVgHuAd2Tmd4fNt+a6I3BUZp5Uhy2RmXfP/z/nG3NU69XngN9l5is6jHkuZeN+Vma+vKOYZ1M+/7uAEzLz6o7inkpZr34JfB+4JDNvHzLmWGyratwz6Hh75XZlzm9XvgDcTlmfNgN+DlyTmV8YIuYlwEbASZn5kTqsi+//84HfAHcAzwcOy8x/HzLmOZT16UfAQcBTMvPOYWLWuCsCVwJfB/4MnJKZPxgy5pnALzPzkPq6i231x4F5mfnP9fVDATLzjx3keitlOd0YeHNm/nbImP8K/BT4T+AQ4HmZeVsHMX8GfAfYGrgP+FRmfnXIuJdQ1qv/ADahfBfckJkDPwq0rqvbUrapvWVgscy8d4iYn6Ws898FdgM+k5nnDBqvEfcc4H+ArwFvA/4pM380ZMylgc9TvgOWAN6Xmd/qINezKNuVg+vrxTPzniFjvh9YJTP3ra9XA5bu7a8M8n1Y8/wR8DtgL2DvQfZ/7MkxpIh4NbB2Zu4AnEr5UnpvRAxcfY6IdwOvAb4aES/KaphKZl0IH5qZzwQuA14SEat2sNF4H7BMZj4L+Dbw+IhYPiJWHSYu5cvyzBrvQoAhd0SPApbt7YhGxKOinCVcd5gko5wVX7a3IxoRu0bELhGxU815kB3RDwJ/zcw1gLUi4ujo5ozzGynLwE6Usw6PiXKm7AlDxHw95cttT8qZnI0pZ8qfOUTMA4B1a55fohTQDoyIpwwas8Y9Bngz5WzLrlA+n2HmbUQcXfN7LvADylmypTrYwf0AsFxm7kY5eH5GPTuwxDBxKTtMXwG2iIhjAYYscLwfuKexXq0ZpSvkcsMkGRE7UpbVV9TXT4uIJ0bEFkPEPAb4c2bOA1aLiNfU4QOfHYmIt9Q8nwF8D9g6Itbo4HvlIGC1zNwLuIayfL09Ip44RMx9GYNtVY17NCPYXuF2ZS5vV1amFKL/OTOPA46m7EBvHxHb12lafRdExJ7A2sAbKN+p749SNB6qR0fdr1wxM/8lM4+que49SI6NmK+jfKfsn5kfpRzo7h8RBw75vbJYZv4O+CZwJ6V4+uqIeFZE7DNIzjXXvRsHtwcBH42I9wyTK6VgdEqNeSxwFmW5OiQilhkkYEQcCKyRme8CzgeWATao4wZaBiLisZTt/5sy83xKUfrwiPhwRPxT1EsjWsZ8TI35xsw8ndKja3Ng5952dZBlq+6X/AZ4W2aeC5wEXAH8Y0S8csCYOwAJPBF4VEScG6UYfe+g25aIeCmwUma+ITNPAU4EXhURSw+5D7Av5fN/Q2Z+lvJZHRoR74iIvQb8rOZl5l+AqyjbrC8Ab42IvSOiV5xovWzVefACStGMiHgHcEpEHBelZ8ugl0feCnyxxjyRsn/xgYg4MUrPvrYFjtcDa9YTEadR9q03q+Natdsix/DuoJxpJjOvBM4GPgW8eJAd8npwkJQN57OBj0XEETX+QBXMiHgY8ChKhZG6gv8WGLhLWRQPAzYEemewVqRck3ga8M6I2HnQ+JQK3uLA64FfRsSVEfEfEfHItl9yUQouOwL/r74+DPgwZUU8bJgdp5rnrTXumynzeDtKl7i3tQ0W5VrRJ1DaDXAU5Wz+6nX8MOtsAN+of28C7AwcTjkwf+WAMedRDsLIzGsoB9E/Al44xI7+n4Cra8wzgQuAHwN7RcRabYPVZXUVyvK5HaXN74uI/et7DNYNrnT13Ax4U2b+NTPfDvwR+MdB4jVy3QB4PPevV3+irFcXAQdFROv4jeXmR8BKlGV/iYg4IyLOrwdmfS9bNc+1gFcDN9VhhwAnUDZ2B9adqkH9mHK2lbpRPwp4LeV7pXXPjjrPNgfeVAddRN1o1oPyQXbEFqcsU5fXQctSvrNPpRQkdhkgZtTvt5WpOw11x/HbwL3A7lGvfW8bm3IA0uW26qF0vK2qcdekfD91tr1q6HK7shrjs13ZkPHarixGx9uVzLyLsg4dFxEPycwfAp+kFJFfUqdpVTzKzH8D9qUciHwEWAE4OeolC1EKvq0Ocuq6/S3gsPp6SeAGysHeyvX7apBLGD9HOcDpHZhvSjlTvB7w+oh4yAAxm+v6uZTt30mUQsdZwBZ1mrbz9WPAZRFxVUS8l7Lsfx5YlVKYaVWQaCzfy1DWzZdTet+9gXIAuSFlm9tK/WyvBZ5T874FuAX4VESsMcTJjh8Cv4+Iz0TECZT16iOUXn07A+sMEPPHwB/rQTmUY5c7KCdOXlHzb108rUXieyiXVSxXewZ9kbL+bg20vkdDZl5OKZp8H3glpXfQlyNio1roWCfan0i5EngrQJT7RnwTWB5Yta5Tq8Rg95M4g3ISgoh4E+WzOq7mvAdl+9hKY7m5FNggM0+lXLpxPHU5HWTZysxPUfanvxClyPdkyvr6C8o2vNWlwY39kHsp9854PmU/6BXA++u4ndrmSWlr70Tk/1FOIH0kItZr3e7M9GeAH0pFEEo3xR8ABzfGrUGpvL+2ZcyVe7Eb8denfGl+pr5eHth1gJjr1f9dvL7+APDu+vdawJYD5rps/f0ISletFShV7LcB7xxwnkYjx0fWv39A6Qq7+YB5bkLZyH+Z0qVyeeCRlB2Jdwzx+a9UY55K2QitWIc/nvLlt+Sg87T+/VDKxv2MIZbVlRs53UvZGfkD8JA6H/YCjhsw5lOB6yiV4fUpG45nU86W7Dlgvo+iHNTt0xi2CXAe8MIh5sOKlDOOvbyvBT5SXy/Xdtlq5LUksER9fQ7w+vr3GsDDB8y1t149lrJzsjrlrMbJwAGDzoMa8wN1XqxUY/+4t54NEGszyg5474zDKsDTap6tvv+mxF2dsqN/fF2PlqrL6nOBYweMuVxz+a15f3jIebldXZfOoezgL0PZJhxEy++/KXF3oWzoX07p+vs14MX1u+DpA8bcCLgZOKQxbKBt1ZT5uEL9e32G2FZNibse5buvt14Ntb2q/9fbrnyQIbcrjZiPBv6V0ttk6O1KI+5KlB3c0xhyu9KI+ZDefKCD7Uoj7uMpBznnMeR2pRHzqXX9P5QhtyuUg7he2zcAPgTsTzn72pvmauDJLWM+dMqwxSj7Qe+jFBBfTLmmfrUWcZcEluq9x5RxX66/N6TsbyzfIuYyU4ZtSt2G19eXAdsMMF+XmRLzkvr3JZTtwYnAa1rGXL7x+qOU79W1G8MuB7ZqOU+b+1RHU3ozvrwx7Fhg/5bt//t2v75evPH38ZQeQwCLtWz/cvXvRwEH1vV9p8Y05wEvHTDmC4BP1Hl4LfX7mbIPu2qb9k95j4dSCrwfBNZrDP8C8OxB405pw7tqzvvWfNdtGWOx3rrVGHYxZV9jfcp+8epD5rn6lPXqfAbYD6Z8Ry9G2dZ9ps7fz1CKR+cD76FuzwbM80hKIW2txrALgd2GiPkByj5V81j4EAY7vuptqxdrDDumLmPLtmn7UAveXP2hbGRuBbatrx9P2Zi9uzHNNpSK2XL9fCCNmFs3hvUKEktSdnhuqAvm81vmufU04/6Jcl0+lIrrTv3EbMT9r6lxqTu79e+t60r5kBbt/wnwtMawN1Gun35fbf9LKF2sH9Ui5n81PqflKTuM2zWm2Zay0egrzym5bl1fr0bZSbiDuuNEOUvwNWCdQT8ryrWjUA4cv0C5JnPYZXVlys7IqY1pHkepcj+s5bK6TX29XV2GTgLeWIe9CHhrizwfVv+nF3NPylm2f2lMsydlA71Uy7gvbi5XjXEbU7pCX0Q5S9jXxriR61OmGfdGSs8OKBvkvnccG7luNWV4c6P5rDqfl+zzs+rl+tTGsGOBfSgbjSspO/xXAuu3zLP3Wa1M+a57ZmOa3Sk7uH3lOSXXp9XXj6RseG/i/h3/TSg7aKu3aP8Le+2n7jw04p8DPLHlOjU1zw0pZys+2ZjmqZR1dsUB2r8VZadu77oMnQccVKd5DfDqFrmuVJfzdevrf6zz9KjGNG23Vb2Ya08zbqBtVR9xB9peNWI2d+ZeD7yFwbcrK1EOZnvz9CGUnfvtG9MMsl15QPu5vzfPzxl8uzK/eTrMdmXqcrUipSB7emOattuVXsx1GsvlVZTCxqDblUfUefgZ4OM1lxdQzjIeQf2upXzH9FXkmBLzE3U+9rbVi9XP/FDK/Q7eMECu59dcV27ON8pB2E6USwH6KkpOifmJGnPeNNN9ncY2YoB50Dvp80bKvtAX63x4EX0WJKbEPJX7T0is2Zim12voQdvePmKeXD+rLeoydTPwjDrdNcBzBvysevO1+Vm9pH5OKw8Y8wTuP5G0J6XYs1F9/Q36LB5PiXks5fvjEcCTqIVdSmH+P3vx+4z7D5T7xPQK3POALSkHz2cDz6rDbwR2GCTmlHG99etf6nrVV0GqEXPFKcN7+wCfoPRGvYLGvuYgudIock1Zr545aMw6/LV1Pl5aX29Bu/3KmeKuOeX1N3rrw4DtX5Xyvfo7Ss+m5Sjbqr5OTM7ns+p99ltRTlRv2G/bM9MiR9sfyhnFL9YP7zLqgQGlK+jZlI3yM+rv9wwYc73GuGal+C/A+4eNWcdvSqli/nu/MfvItfklfz5wxDAxKRuOyyg7IL0zMY8YMOaGM+T52X7znF9cSg+Wyyg9EHah3EviqAFjNufpPMqG/c2UG0QNs6w258EplAO8DSkFuiMHjNk8w9JcVr9M44xxHzFvoBQ1fke5IdRSlC/Kj1N2UDYFvjrAZ9WM+6CdmDrNn4APdhETeHqdtxcCH+gy1zrdhfRZGZ8m5nPr8A0pBzffoezgLE6fZ7KnifmCYfOcIe7z6vDNKN+lV1G+Y/+95bI6v89qecrO5KlD5PncxrgTKZcBrE45u/+uIeL2zrAtTuOMMeWg/E0tY55A+V46iLKDu3l9n0G3Vb2YN9SYve/A5vdq39uqBcVtLAettlczxFyTcqDzRcrN5wbZrjTn6aFMc/aPwbYrU+OuQSkefJGykzvIdmV+83Qeg29Xpua6XmMd+DSDbVeaub6JuhNO46CcdtuVxSgF0ddRihufpVye9RRKEerNlF5sn6fc3HCQmJ+hFAifNmW6/6TPbcqC4nL/Tv45db06dIiYF3J/cbZ3tviL/S5T84n7OcpByN417956tcwQMf9tmvnaZvmfGvN8SuFxK8oB1T7A9ZTLajr5rKZMdwG1ODdgrv9aP//1KWewL6f0jul3X2VqzAtq+5snEpehFHje16L9S1FuMvoV4AAeuL+6UV0Gfljfr6+eXNPEXLcxrrlduYg+e18uIGbvBPL7KEWTg/uJuaC4jWmWpnxXvbeDXLej9Azq9e5douNcF6/j22xXZvysKJeZXEnZd+9ruWrx+X+SchlTX+3PtMjR+ofSDe999e9PULv3UHYY5lGu+XoX7XZwZozZmOafqd2Ah4y5WF0QH15X7jO7an/9vTTlxm6f7iBm70B3rfr6QZXSIfKMmue5XbS/Mf41lC7mb+7481+DFgfNC8q1fv4nUw4c+u5SPCXmSY1c/969jNJt7awWMT8CfKj+vSfwdsoTAB5OOXN/FKVw0Lb9zbh71LjPouzgLFmHH0552sowMXetMZei9Oq6j8ZZ/SHjrkk5O744cHrL9WqmmI+kdIPtnTHuv+vf9DF36+VZh3+yTZ7zibtzXe6XphygvY3yVIxOPqs6fEPgY0PG3J2yE7lr/YwuBz4xRPt768Cza/t78/U04LwWMT9MLQhQzv78lLLOPr4Oewftt1XTxTy1EXMeLbdV84l7GvCEOuwRtNxezRDzdMpZzN25vxdCm+3KdDE/2Wj/Egy2XZkp7qPqsNfSfrsy38+qDh9kuzJTro+hXGZ0Gu23K82YT2zE3KwOW4r225VVKQfw/9gY9hbKgXLv81qZPnvFzCfmQZSd8y3r6+XosxDTZ9wn1df7AKd1nOuzaHnJ3gxxD67DHtsY1ma96ifXbanfkUN+/l+m9t6jdH1frt+Y/ebaYfsvo/S+W66uazt2EPPyxjxdgz4L3I0Yz6Dsjz2X0jvkMGDTKdM8hGl6ZLSM2cx78fpZ7dtVzDrNDjR6n3WU60Mo97o4usuY9XffBY4+4y5F+d4eNtepn//STNNjbIg8W7X7AbEH/ce5+EPZOXpv4/UBlGuQ+zoL1DLmxlOm6/va/hYx9+46V8pB7i5dz9OWK0y/7e+rG92i/vxpcU3nAPOg7w18i5iPa5nrWyk7sL1n2F9K6SlyAvcf5AxyDfp0ca+mnG3s7eRs2mHMXvfPvs8K9Bl3S8o1mW3X15nm64e4fyen7UZzvvO0Dp+2d8cAcf+DxkH5KD7/DvM8rjFPW1/X2+ey2lcX7UbMd1AKQ0s0Xn+e8njH1m2fIebbKYXPkxvTtL4PTZ9x9+kg5ueB4xvT9L1daZFnq+3KAnJttQPeNtcO436eRmGP9geO/czXVtuV+j9voRzYrdYYtj/lTPMGA7Z/upivrTHXH2K+zhT3R5SbF67Uca7/QJ89LfqMe0CNu94I5utaDHCgM0PM19V5OtDn30eure4V0cey+gOmudxsYS+r3H8iaynqNo5ySdkHKCeitqvD+r6coI+Y29ZhfX9Wo4jZMm6boumCYm4/4lzXG5PPv9Wy2vzpvYH6EOURRn+bMuwoytmbdwD3ZsvnDfcR8+5s//idBcW8Jwe4+30fcf+WLReoBcQ8vMbsuv2t52mfcVvP11HM0z7iHk6ZB13nOuhy9VTKXc6XAh6WmU+uw48B/iEzX9I2Zh9xH5aZe3cY8wM115eOINfVM/NlHcb8IOUa/y7bf0yNuU/bmH3EHWgZGEWuC5inq4+o/WsOslxFeUzynpRrz39HuWHbiylnzb+SmSd2HPPLmXlS25h9xL0sMz/RYcxjKdc3t851Qtr/YUr7T+4412Mp86DrXFu1P8oTyn5Hucn2qpT7pXwJuCgzf1mn+RilKHPToorZIu7Ha9zvLKqYLeKOYr6Oov2j+qxG1f4TZ8my+lvKgeldjeGPpdzn5m5Kj8bdKT3Q/jzLY+5BuQH1AmOOKu4o2j9OuY6q/Q8waHVkLv1QuqA/iQfesLLXhXgbyhfIoycx5jjlOtfbP0651phbcv/1wUtQegKcx/03nnsM5RriNr1N2sR9aMcx/3VEufYddxTzdZZ8VuPS/r6WqYWwrPZuqPg8ys3ATqD2sKNc9tDmiQedx2wZ958XZa6jyHMW5Dqqz2qR5kq5dO4mStfnKyj3X1iPcn+Hd9V4W1GeqNNXz5BRxDTX8Yk5TrkuhPafTLk32h5Txs8DPgb8D33eFHNcYprr+MSc9n0G/ce58kN5RNy3KTeoOZVyjdzyU6Y5mnIDo37vTj8WMccp17ne/nHKdUrMT1KKJCs2Yr0VeBXlEYKvGHBd7STuXM/V9o91+y/m/mt5ezdaW42yru61qGKOU65zvf3jlCvlrPV3KDfqW5bSM+Q3lKcnLEW5TOHE+l793vG/85jmOj4xxynXhdj+3YFfA4dNme6XwKsmKaa5jk/MGd9rmH+e9B9KJelzwH719QqUytMPeeANllah/8cEjUXMccp1rrd/nHKdT8wfUW4CuSnlGeAn0+K59aOIO9dztf1j3/7vUdbVf6zDlqkx+707f+cxxynXud7+ccu1/t9JwCaN1xvVuIc0hvXd22pUMc11fGKOU64Lsf0bAt/ngY8ib3vPqLGIaa7jE3Pa9xk2wKT/ULpP7tx4/TbKkyquosUNZsYx5jjlOtfbP065zhDzZMpjp1ZkgButjiruXM/V9o99+3vrau9JOq1uXjiKmOOU61xv/7jkSnls8xKU+4KcMGXcwymPtV2rZY6dxzTX8Yk5TrkuwvZ/agS5zoqY5jo+Mef3szhakFuAcyPiCEoXm60pj7s5jvL4pdsnOOY45TrX2z9Ouc4U83hgo8y8boCYo4o713O1/ePf/uMoN++6IzN/OwtijlOuc739sz7XiPgw5Yz17yk7yAdHxNXA0zPz3sy8NSKWAzYG7lxUMc11fGKOU66LuP3LjyDXRR7TXMcn5oLM6yLIpImIAyPiJIDMPAV4CaXC9AfKc5rvody5eNNJizlOuc719o9Trn3GvLtNzFHFneu52v6Ja/8iX//HKde53v5xyjUiDgY2A14E/BTYD9gJ+AnwrYh4ZUS8HdgAuHFRxTTX8Yk5Trna/rnd/nHKdVTtX6BhuoFM4k+d6XdSnvt+KeXxhdDoPkx50sQdwGMmKeY45TrX2z9Ouc719o9Trrbf9tv+udv+ccoVWJNyw95NG8M+S72Om1JEOZjyGNrNFlVMcx2fmOOUq+2f2+0fp1xH1f6+3rvLYJPwA2xCvZs9cAxwHbBlY/za9YN4waTFHKdc53r7xynXud7+ccrV9tt+2z932z+muS7D/U9k+RhwZP07gA3axBtVTHMdn5jjlKvtn9vtH6dcR9X+Bb7vKIKO+w+wROPv11HufP/s+vqlNJ4sMWkxxynXud7+ccp1rrd/nHK1/bbf9s/d9o9TrsC8Ka/34f4d568Ae86GmOY6PjHHKVfbP7fbP065jqr9C3zfUQSdtB9gF+AbwH8DJ82lmOOU61xv/zjlOtfbP0652n7bb/vnbvvHKVdgc+A04Gzg5Nka01zHJ+Y45Wr753b7xynXUbX/Qe8zqsCT9gOcC3x1LsYcp1znevvHKde53v5xytX2237bP3fbPw65Uro8PxK4D7h4tsY01/GJOU652v653f5xynVU7Z/2vUYZfFJ+KI+8+Sqw/FyLOU65zvX2j1Ouc73945Sr7bf9tn/utn8Mcz1oHGKa6/jEHKdcbf/cbv845Tqq9jd/or6RFiAils3M/52LMUcVd1xijiruXM91rrd/VHHHJeao4o5LzFHFHZeYo4o7LjFHFXeu5xoRkR3v2I4i5qjizvVcbb/tn8vtH1XccYn5oPewyCFJkiRJkibBvEWdgCRJkiRJUhcsckiSJEmSpIlgkUOSJEmSJE0EixySJEmSJGkiWOSQJEmzUkRcGRF93SE9ItaPiIyIM0acliRJmsUsckiSNIEi4rB60J8R8cj5THdbRNw2n/EZEVeOIsdJFhG713l3XUQsMcM0S9TxGRG7L+wcJUmaRBY5JEmaMBERwL5ArxfEqxdhOgvLncAmwFsXdSIAmXkxcAqwOfCuGSZ7Zx1/cp1ekiQNySKHJEmTZ0dgfeBM4JfAyyJiyUWa0Yhl5t2Z+YPM/MWizqXhTcCPgUMi4mnNERHxVODQOv7NiyA3SZImkkUOSZImT6/nxinAOcCqwHOaE0TEdvV+F+sB6zUubcmIOCMiXt64H8a2U8Yf0Yjz8oi4MCJujYj/i4g/RMQ1EfHSmZKLiJUj4qiI+G5E/G9E/D4iboyIoyPiIQtqXERsX//n5xGxWR027T05aluyjn9NRNwUEX+JiF9FxMkRscIM77FTbcefI+KuiPi3iHhUM96C8szMPwMvBe7Qmf9oAAAHb0lEQVQDzo6I5Wvs5YCzKT1tXlKnIyKeFBEXRMQvI+JvEXF7RJwUEf8wTX6bR8Rxdb7dVdv044j4UESsNM30L695vzwidq73O/l9v/c8kSRpXCy+qBOQJEndiYg1gN2BH2XmtRHxB+BAYD/gM41Jb6NcRvHG+vojjXHfbox/J/BT4IzG+Csbf58IfA+4GvgFsAqwK+Wg/pGZ+Y4p+W0AfJVSXLm+/v884BGUng+fAP48n/a9BDgduBXYOTN/OtO0U3wA2Am4BPgy8HRKMWgjYPsp7/FC4NPAX4Dza7ueCvwncGOf7wdAZn4zIt5NmZcnAPsAxwEPBw7PzG/V93wlcDLwV+Bi4HZgY8plR7tFxJMz82eN0K+mFK6uAr5CmYebU3qF7BIRT8rMP06T0l7AzsAXKfN6vTbtkSRptotMC/iSJE2KiDgUeB/wtsx8Xx12HfAE4BGZecuU6W8DyMz1Z4iXwFWZud0M4zfMzJ9MGbYk5SB6G2D9zLyzMe5a4CnN/BrjVgX+lJl/qa+vBLbNzKivD6ltuwbYIzPvavzv+sB/AWdm5ssbw88AXkYpGjytVyiIiMWBK4CtgSdl5jfr8IcCPwOWBbbMzBsbsY4GDqkvN8jM26abJ9PMo8WA/6jtPoVSoLgW2CYz742IRwDfre+77ZT5tQOlKHNxZj6nMXw94I7MvHfKe70KOBU4NDPf3xj+cuCTlN4ju2bml/rJXZKkcePlKpIkTYjGDUfvA85qjDoDCEZwA9KpBY467G/Axyg9Rndo5Lc55UD/28D7p/m//+kVOJoiYl5EnAAcDXwOeGazwNGnI5s9ITLzHspBP8CWjen2AFYEzmkWOKr3AL9r+b7UQsTewJ8on8Efgb0bBYp/AZYA3tAscNT/vZzSs2O3WoDpDf/p1AJHdTrwB0qvlelcZIFDkjTJvFxFkqTJsT2wIXDplIPlTwMfAl4eEW/PzLu7esOIWJfSu2EHYF1gmSmTrNX4+8n196WZeV+Lt7kQ2BM4Hnhjy//tuW6aYbfX3817WDy+/v7a1Ikz808R8W1gu7Zvnpk/iYiPA28BTszMWxujn1J/bxsRT5zm31cHFqNc0nM9lMfPAq8BXgg8GliBB568WovpfbNt7pIkjROLHJIkTY796u8zmgMz866IuAR4HqWnwgVdvFlEPJxy0LwS5XKMLwO/B+6lPN3lZcBSjX9Zsf5+QG+FPmwD3ANcMmCBA6bvgXFP/b1YY1jvRqS/miHOTMP78X9TfvesUn8fvID/X67x92co9+S4FbiI8hSdv9Zxb+SB873pl31lKknSmLLIIUnSBIiI1Si9HQDOjYhzZ5h0PzoqclBucrkK8IrMPGNKPi+iFDmaeoWGmXoZzOTplJtrXhwRz8vMLwyQa7/+UH+vMcP4mYYP4/f19wqZ+Yf5TglExBaUAsdXgF3qpTe9cfMovUVm4s3YJEkTzXtySJI0GV4GLEm5nOG0GX5+DTyjPuGk514e2JNhqvvmM36j+vvCacZtO82wr9ffO9WD8b5k5ndqvN8Cn4uIPRfwL8O4of5+2tQR9dGvm43gPXvzZes+p+/N94ubBY5qSx58yZAkSXOGRQ5JkiZD76air83Mfaf7AU6i3IB038b//QZYLSJmOjD+DbDODONuq7+3aw6MiJ2mvAcAmXk95akim3H/U0qa/7dKRCw93Rtl5s2Uy1Z+BXw2Iv5phpyGdRGlZ8VLImLTKePezv2X3HTpBOBu4Nj6pJUHiIglI6JZALmt/t5uynSrU274KknSnOXlKpIkjbmI2I5yU8qbeo9CncFpwGHAKyLinbUXwOXAE4EvRcTVlPs63JiZl9T/uRx4Yb2nx/+jHIxfnZlXAx8HXkEpOlwA/Bx4LLAzcD4wXSHipcCVwHsj4nn17wA2BnYEHsX9B/EPkJm31IP9K4BzImKpzDxrumkHlZl/iIjXAWcD10bE+cAvgKcCmwJXUXqVDHpvkOne8wcR8UrKk1G+FxFfAn5EeeLKupQeHr+mzBuAb1Eeo/vc+kjer1Euo9kF+CHlc5AkaU6yyCFJ0vjr9eI4dX4TZeZtEfEV4JnAbpTHsb6H0jthN2AryqUpZwK9IscbKPdx2AHYldIL9F2UQsd3IuLpNcazKPsVNwLPpdx/40FFjsz8r4h4AuW+EXsC+wN/oRQ2PgT89wLa8NOI2IZSfPlkLXScMr//aSszz4mIu4B31Db8Fbia8hSUD9bJFnjvjJbv+amIuBE4kHIPkh2BP1MKFhdQbjTam/beiNidMt93BV5PuZnrqXXY97vMTZKkcRKZ3n9KkiRpQSJiMcrTTJbMzDUXdT6SJOnBvCeHJElSQ0SsGBHLThkWlHtyrEvpASNJkmYhe3JIkiQ1RMTOlMtDvky5jGY54MmUG6beDmyRmfO9rEaSJC0aFjkkSZIa6iN230O5R8lqlHuN3AF8HnhvZv5qEaYnSZLmwyKHJEmSJEmaCN6TQ5IkSZIkTQSLHJIkSZIkaSJY5JAkSZIkSRPBIockSZIkSZoIFjkkSZIkSdJE+P8G/oX5Eb8l8wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1296x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 639
        },
        "id": "-G4iGKVkz18g",
        "outputId": "15935bf7-f16f-4fc1-9f13-30f986589769"
      },
      "source": [
        "pd.crosstab(df.Year, df.Region).plot(kind='area',stacked=False,figsize=(20,10))\n",
        "plt.title('Terrorist Activities By Region In Each Year',fontsize=25)\n",
        "plt.ylabel('Number of Attacks',fontsize=20)\n",
        "plt.xlabel(\"Year\",fontsize=20)\n",
        "plt.show()"
      ],
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rBgZMRta0Du9",
        "outputId": "107f984e-aa35-4b92-8f25-7c2669ea76f5"
      },
      "source": [
        "attack = df.Country.value_counts()[:10]\n",
        "attack"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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\n",
              "Name: Country, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "btx15ITN0JN0",
        "outputId": "e8cd5224-34f6-4251-9116-aaefc77ea045"
      },
      "source": [
        "df.Group.value_counts()[1:10]"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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\n",
              "Name: Group, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 679
        },
        "id": "kTFpX-bZ0M2N",
        "outputId": "10fce80c-ad16-4170-9496-6fa3c6b27e89"
      },
      "source": [
        "plt.subplots(figsize=(20,10))\n",
        "sns.barplot(df['Country'].value_counts()[:10].index,df['Country'].value_counts()[:10].values,palette='YlOrBr_r')\n",
        "plt.title('Top Countries Affected')\n",
        "plt.xlabel('Countries')\n",
        "plt.ylabel('Count')\n",
        "plt.xticks(rotation = 50)\n",
        "plt.show()"
      ],
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 655
        },
        "id": "04ptn5nY0RtF",
        "outputId": "df046c6c-02dd-41fb-a316-435853f1ce71"
      },
      "source": [
        "df_1 = df[['Year','kill']].groupby(['Year']).sum()\n",
        "fig, ax4 = plt.subplots(figsize=(20,10))\n",
        "df_1.plot(kind='bar',alpha=0.7,ax=ax4)\n",
        "plt.xticks(rotation = 50)\n",
        "plt.title(\"People Died Due To Attack\",fontsize=25)\n",
        "plt.ylabel(\"Number of killed peope\",fontsize=20)\n",
        "plt.xlabel('Year',fontsize=20)\n",
        "top_side = ax4.spines[\"top\"]\n",
        "top_side.set_visible(False)\n",
        "right_side = ax4.spines[\"right\"]\n",
        "right_side.set_visible(False)"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "id": "C9icGeEI0fRb",
        "outputId": "4fa3cd53-e29d-408c-a4ea-2f1603ee262c"
      },
      "source": [
        "df['City'].value_counts().to_frame().sort_values('City',axis=0,ascending=False).head(10).plot(kind='bar',figsize=(20,10),color='blue')\n",
        "plt.xticks(rotation = 50)\n",
        "plt.xlabel(\"City\",fontsize=15)\n",
        "plt.ylabel(\"Number of attack\",fontsize=15)\n",
        "plt.title(\"Top 10 most effected city\",fontsize=20)\n",
        "plt.show()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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1DyV5c7rNx++w1toVSS6rqt/vm/ZN8p0kn0r3FL/075/sP38qydP6p+rtneTn/XK+zyd5bFVt3m9c/ti+DQAAAIB1wLh7Ri1L8ovW2q1VdXWSbUf6Lkz39Lu19fwkH6yqjZL8MMkz0oVlH62qZyW5NMmf9WNPSTc76+Ikv+zHprV2dVW9Jt0sriR5dWvt6gnUBgAAAMAEjBtG/UeSe/efz0/y3Ko6JcmvkzwryX+ubSGttQuSrJija985xrYkR85znuOSHLe29QAAAAAweeOGUR9J8sAkH0jy8nRL336R5Nb+HIfPfygAAAAAdMYKo1prbxn5fFZV7Z5k/3SbmJ/eWrtwkeoDAAAAYIqMFUZV1SOSfL21dn2StNYuS/Levu/uVfWI1tqXF69MAAAAAKbBuE/TOyPJrvP0/X7fDwAAAAALGjeMqgX67p7uiXYAAAAAsKB5l+n1S/P2GWl6dlXtP2vYsiSPT/KtyZcGAAAAwLRZaM+oByd5/sj3g5PcMmvMTUm+l+TvJlwXAAAAAFNo3jCqtfamJG9Kkqr6UZIntta+MVRhAAAAAEyfcfeMOibJyrk6qmqLqnra5EoCAAAAYFqNG0a9P8nO8/Tt1PcDAAAAwIIm8TS9LZP8YgK1AAAAADDlFnqa3oFJDhxpenlVrZo1bFmSP05yziLUBgAAAMCUWehpevdI8t9Gvu+c5J6zxtyU5AtJXjvhugAAAACYQgs9Te+9Sd6bJFV1RpL/2Vr73lCFAQAAADB9FpoZdZvW2qMWuxAAAAAApt9YYVSSVNUm6faQul+6vaJ+S2vtxROsCwAAAIApNFYYVVU7JzkzyV2S3C3JqiRb9Mdfk+TnSYRRAAAAACxovTHHvTXdE/O2SVJJDkgXTB2W5PokhyxKdQAAAABMlXGX6e2V5NlJbuy/b9Ra+3WSD1XVVknenuShi1AfAAAAAFNk3JlRy5L8orV2a5Krk2w70ndhkj0mXRgAAAAA02fcMOo/kty7/3x+kudW1bKq2jDJs5L852IUBwAAAMB0GXeZ3keSPDDJB5K8PMnnk/wiya1J1k/y9MUoDgAAAIDpMlYY1Vp7y8jns6pq9yT7p9vE/PTW2oWLVB8AAAAAU6cAnL4AACAASURBVGTcmVG/pbV2WZL3TrgWAAAAAKbcuHtGAQAAAMBaE0YBAAAAMBhhFAAAAACDmTeMqqodqmrDIYsBAAAAYLotNDPqR0n+MEmq6vSquv8wJQEAAAAwrRYKo36V5K79532S/N6iVwMAAADAVNtggb7zk7y9qk7tvz+/qi6fZ2xrrR012dIAAAAAmDYLhVF/meRNSQ5M0pLsm+TGeca2JMIoAAAAABY0bxjVWvtekv+eJFV1a5Intta+NlRhAAAAAEyfhWZGjdopyXxL9AAAAABgLGOFUa21S6tqg6o6JMnDk2yR5Ook/5bkY621WxaxRgAAAACmxFhhVFXdI8kXkjwgySVJfprkIUmOTPKNqnpsa23VYhUJAAAAwHRYb8xxb0myZZK9W2v3aa09pLV2nyQP7tvfslgFAgAAADA9xg2jDkhy1OwNzFtr5yQ5OsnjJ10YAAAAANNn3DBq4yTXzdN3XZKNJlMOAAAAANNs3DDqrCRHVdXdRhv770f1/QAAAACwoLE2ME/yoiRnJLmsqr6QbgPzeyTZL0kl2WdRqgMAAABgqow1M6q1dkGSXZIcm2TrJH+SLox6d5JdWmvfWLQKAQAAAJga486MSmvtZ0lesoi1AAAAADDlxt0zCgAAAADWmjAKAAAAgMEIowAAAAAYjDAKAAAAgMGsNoyqqo2r6qVVtccQBQEAAAAwvVYbRrXWbkzy0iSbLX45AAAAAEyzcZfpnZ3kQYtZCAAAAADTb4Mxx704yYeq6uYkpyT5aZI2OqC19ssJ1wYAAADAlBk3jDq7f39HkrfPM2b9tS8HAAAAgGk2bhj1zMyaCQUAAAAAa2qsMKq1dvwi1wEAAADAncC4M6OSJFW1a5I9k2yf5LjW2hVVdd8kP22tXbcYBQIAAAAwPcYKo6rq7kmOS3JQkpv74z6X5Iokr0vy4yR/u0g1AgAAADAl1htz3FuSPDTJvkk2SVIjfack2X/CdQEAAAAwhcZdpvc/krygtXZGVc1+at6lSe492bIAAAAAmEbjzoy6S5Kr5unbJMmvJ1MOAAAAANNs3DDqnCRPm6fvoCRnTqYcAAAAAKbZuMv0Xp7k1Kr6YpL/m6QlOaCqXpgujHrEItUHAAAAwBQZa2ZUa+3f0m1evnGSf0q3gfmrktwnyWNaa+csWoUAAAAATI1xZ0altfaVJH9cVXdJsnmSa1trv1y0ygAAAACYOuPuGTXqhiQ3J/nVhGsBAAAAYMqNHUZV1QFVdWa6MOqKJDdU1ZlV9fhFqw4AAACAqTJWGFVVz0ny6STXJ3lBkoP79+uTfKrvBwAAAIAFjbtn1N8neU9r7Xmz2t9dVe9O8tIk75loZQAAAABMnXGX6W2Z5OPz9P1Lki0mUw4AAAAA02zcMOqMJI+cp++RSb48mXIAAAAAmGbzLtOrql1Hvr4jyT9X1ZZJPpHkyiT3SPKkJI9L8uzFLBIAAACA6bDQnlEXJmkj3yvJc/pX67/P+FyS9SdeHQAAAABTZaEw6lGDVQEAAADAncK8YVRr7V+HLAQAAACA6bfQzKg5VdUGSTaa3d5a++VEKgIAAABgao31NL2q2rSq3llVlye5Icl1c7wAAAAAYEHjzow6Pskjk7w3ycVJblqsggAAAACYXuOGUfsmeU5r7cOLWQwAAAAA022sZXpJfpzEnlAAAAAArJVxw6gXJ3lZVe2wmMUAAAAAMN3GWqbXWjulqh6T5OKquiTJtXOM2WvCtQEAAAAwZcYKo6rqH5L8TZJzYgNzAAAAAO6gcTcwf3aSl7bWXr+YxQAAAAAw3cbdM+qXSc5bzEIAAAAAmH7jhlFvT3JEVdViFgMAAADAdBt3md5WSR6c5PtV9aXcfgPz1lo7apKFAQAAADB9xg2jDkpyS5INk/zJHP0tiTAKAAAAgAWNFUa11nZa7EIAAAAAmH7j7hkFAAAAAGttrJlRVfW81Y1prb1z7csBAAAAYJqNu2fUPy3Q1/p3YRQAAAAACxprmV5rbb3ZryRbJHlKkm8k2XUxiwQAAABgOow7M+p2WmvXJjmpqjZN8p4k+0yqKAAAAACm0yQ2MP9RkhUTOA8AAAAAU26twqiquleSF6ULpAAAAABgQeM+TW9VfrNR+YyNkmyS5IYk/2PCdQEAAAAwhcbdM+r/5PZh1A1JVib5XGvtqolWBQAAAMBUGiuMaq29cpHrAAAAAOBOYBIbmE9MVa1fVedX1Wf67ztV1dlVdXFVnVRVG/XtG/ffL+77dxw5x9F9+/erar+luRMAAAAA5jLvzKiqOn0NztNaa/tOoJ4XJPlukt/rv78xyVtbax+pqncneVaSd/Xv17TW7ltVh/bjDqmqXZMcmmS3JNsm+WJV3a+19usJ1AYAAADAWlpoZtRVY7w2SrJP/1orVbU8yeOT/HP/vZI8OsnJ/ZATkjyx/3xg/z19/779+AOTfKS1dmNr7UdJLk6y19rWBgAAAMBkzDszqrV28Hx9VbVDkqOS/GmSnyV56wRqeVuSF6d7Ql+SbJnk2tbaLf33lUm26z9vl+Syvs5bqurn/fjtkpw1cs7RY2bfwxFJjkiSHXbYYQLlAwAAALA6a7RnVFXdt6rel+SiJE9IcnSSe7fWXr82RVTVnya5srV23tqcZ0201o5tra1ora3Yeuuth7osAAAAwJ3aWE/Tq6rdkrw0ycHpZiS9IMlxrbWbJlTHw5I8oaoOSLIs3Z5Rb0+yWVVt0M+OWp7kJ/34nyTZPsnKqtogyabplg3OtM8YPQYAAACAJbbgzKiq2rOqPpbkm0kelOTZSXZprb17gkFUWmtHt9aWt9Z2TLcB+emttT9PckaSg/phhyf5ZP/5U/339P2nt9Za335o/7S9nZLskuRrk6oTAAAAgLWz0NP0PpvksUm+leTQ1tr/Hayq3zgqyUeq6rVJzk/yvr79fUk+UFUXJ7k6XYCV1tq3q+qjSb6T5JYkR3qSHgAAAMC6o7oJRXN0VN3af7w6ya1zDhrRWrvHBOsa1IoVK9q55547yLWqBrnMkpnnr9PU8OcHAAAA46mq81prK2a3L7Rn1KsWsR4AAAAA7oTmDaNaa8IoAAAAACZqwQ3MAQAAAGCShFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADEYYBQAAAMBghFEAAAAADGaDpS4AYChVS13B4mltqSsAAAAYj5lRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYIRRAAAAAAxGGAUAAADAYDZY6gIAYHWqlrqCxdXaUlcAAADDMTMKAAAAgMEIowAAAAAYjDAKAAAAgMEIowAAAAAYjA3MAYBFZQN6AABGmRkFAAAAwGCEUQAAAAAMRhgFAAAAwGCEUQAAAAAMxgbmAADMyebzAMBiMDMKAAAAgMEIowAAAAAYjDAKAAAAgMEIowAAAAAYjDAKAAAAgMGsE2FUVW1fVWdU1Xeq6ttV9YK+fYuqOrWqLurfN+/bq6reUVUXV9U3q+pBI+c6vB9/UVUdvlT3BAAAAMDtrRNhVJJbkryotbZrkr2THFlVuyZ5SZLTWmu7JDmt/54kj0uyS/86Ism7ki68SnJMkgcn2SvJMTMBFgAAAABLb50Io1prl7fWvt5/vi7Jd5Nsl+TAJCf0w05I8sT+84FJTmyds5JsVlX3SrJfklNba1e31q5JcmqS/Qe8FQAAAAAWsE6EUaOqasckf5jk7CTbtNYu77uuSLJN/3m7JJeNHLayb5uvfa7rHFFV51bVuatWrZpY/QD/f3t3Hq7rXPZ//P1hm4pCVIRUVEqaNKinkCGVMmUooVFRmpQGERWpJ5UmpdAkHimSJlFpUkqjIaIQSSFUZp2/P77flbvd3hv9tvu6117v13E42utea21nx2Wt+7rO7zlIkiRJkuZuopJRSZYEvgC8uqquGf1cVRVQ8+vfVVWHVNXaVbX28ssvP7/+WkmSJEmSJM3DxCSjkixCS0QdUVVf7C9f1tvv6P/75/76JcDKI9++Un9tbq9LkiRJkiRpAkxEMipJgEOBs6vqvSOfOh6Y2oi3E/Clkdd37Fv1Hg9c3dv5vgFsnGSZPrh84/6aJEmSJEmSJsCsoQPongjsAPw6yS/6a28GDgCOTvIi4EJgm/65rwJPB84DrgVeAFBVVyZ5O/CT/nVvq6orx/N/QZIkSZIkSbdlIpJRVfV9IHP59AZz+PoCXj6Xv+sw4LD5F50kSZIkSZLml4lo05MkSZIkSdLMYDJKkiRJkiRJY2MySpIkSZIkSWNjMkqSJEmSJEljYzJKkiRJkiRJY2MySpIkSZIkSWNjMkqSJEmSJEljYzJKkiRJkiRJY2MySpIkSZIkSWNjMkqSJEmSJEljYzJKkiRJkiRJY2MySpIkSZIkSWNjMkqSJEmSJEljYzJKkiRJkiRJYzNr6AAkSZIkzX/J0BHcuaqGjkCS9N+yMkqSJEmSJEljY2WUJEmSJE2YBbmyzao2SVZGSZIkSZIkaWysjJIkSZIkaT5ZkKvawMo2zR9WRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbExGSZIkSZIkaWxMRkmSJEmSJGlsTEZJkiRJkiRpbGYNHYAkSZIkSdIkSIaO4M5VNXQEjZVRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkamwUyGZVkkyTnJDkvyRuHjkeSJEmSJEnNApeMSrIw8GHgacBDgOckeciwUUmSJEmSJAkWwGQU8FjgvKr6XVXdCBwFbDZwTJIkSZIkSQJmDR3AneA+wB9GPr4YeNzsX5RkZ2Dn/uHfk5wzhtiGsBxw+bj+Zcm4/k0zhtdvehvb9fPazXf+7E1vXr/py2s3vXn9pjfvW6Yvf/amtwX9+t13Ti8uiMmo26WqDgEOGTqOO1uSn1bV2kPHof+O12968/pNX1676c3rN3157aY3r9/05vWbvrx209tMvX4LYpveJcDKIx+v1F+TJEmSJEnSwBbEZNRPgNWT3C/JosB2wPEDxyRJkiRJkiQWwDa9qro5ySuAbwALA4dV1ZkDhzWkBb4VcQHn9ZvevH7Tl9duevP6TV9eu+nN6ze9ef2mL6/d9DYjr1+qaugYJEmSJEmSNEMsiG16kiRJkiRJmlAmoyRJkiRJkjQ2JqMkSZIkSZqBkmToGDQzmYySprEkayQ5KMliQ8eiOybJMkPHoDvOG7bpKcmGSVYZOg5JkiZN9SHSSbZPsvnQ8ejfTd17Loj3oCajRJKFZ/t4gfsPfQG2KLAk8JEkKw4djG6fJOsDzxo6Dt22qd+PSRaCW2/YND2kWRx4DbBvkgf7Hjc9jR66JLnfkLFI+ndJlho6Bv13RhIdDwN2Ab49bESag08lWXdBvAc1GTXDJUlV3dL//KEkhwM7J1lj4NB0O1TVL4H/A5YGDkry6IFD0u1zMfCZJDt6AjW5kixcVbckWRLYM8kBPZmx6NCx6farquuBZwKXA+8CnpBk1rBR6Y7oyeANk2yTZAfafcoiQ8elO2YqqZ/kgUk2SnJfq4SnvySb0d4jHzB0LLrjqqqSLA+8CvhjVV09dEz6D2cAn0jynKEDmd9MRs1wI2WZzwdWBL4HrA7slORJA4am2yHJI4B3AmcB19NO/rccNirdlqr6LXB3YCXgGUmeN3BImoOpRD3weeBKYGXgWGCrJHcdLDDdbiOniHerqtcDJwNvA57ZK6Y0PQQ4B3g1cCDw2aq6yYTU9NEPP//ZD82OAV4BfAjYNcmDho1O/42p5CLt5zPAC5I8dsCQdAeMXD+AG4A/AvdIsnmSuw0UlkZMVedX1buBlwJvS7LXsFHNX1kAq710ByXZEHgPsGlVXZxkbWBjYDngtKo6atAANVdJPgCcUVWHJFmBdt2eDxxbVR8YNDj9hyQL9Zvx9JOoxYCtgXWBM4GDq+qGYaPUqCS7AQ8CdgO+A5wObERLSh1SVRcPF51ujySrA28AjquqE5I8i9a2dzRwVFX9ddAANU8jFYpLAJ8DZgGXAO+uqt/1r1myqv4+ZJy6bf3B6lPAF6vqi0nWBTYBLqyqjw4bne6oJCtNvQcmWQfYgPbs8IWq+t6gwWmepu5H+58fAtxcVecmeS7wdOCrwLer6tIh41STZJ2qOjXJqrQD0l8DO1fVzVPPFIMG+P/ByqgZaqQ/eBlaJvxuwAcAquqnwFHAFcDCc/s7NKx+Da8FHgfQ3zBOAq4Dnmj//uTpiainAkcneR+wflV9lpbYeADwbk+jJs5hwJ7AvsB3quq1tAfi7WjVbZpAs534Xgz8Htg0yQ5VdTzwWuDFwKZDxKfbZyQRtTit1fJ5wItoLZcHJlk9ySbATkPGqbmb7WcR4J+09zuq6hTgW8D2SZYdd2z67/Xk8JFJDgKoqlOB44E1gdcnWW/A8HQbRhJRHwDeD7w3yfeArwAfB7YEtrGCeHi9mvR9SXapqguAJwLLACclWWE6J6LAZNSM1asylqCdFi8FPBmYleT4JEv308YPVdURgwaqfxkduptk0f7L5720ktp3z/ble1TV3+ZwE6gBpG083LO3dr0R+C7tVOO1SXarqq/SEsBnVdU1Q8Y6043MNLlvkjWq6h99fsJVwKq9Lej+wIFVdeaQsWrueuJ3sSSPq6rrqmo/4FTgKUl2B35DqyT93KCBap5GWmWPADboP49/ph2efRP4DK3V6xsDhah5mGrN639+cL+enwXun2QqEfwz4BY8/Jx4GVl4VFXX0dqGVk/yuSSLVNWvgFOAX9HGfmiCJXk2sDbwjKralHbtfkibT/Qx4Jd95qIGVFWnA3sBT02yN7BYVW1BO2TbaNDg5gPb9GaY2coyFwbeTMtNvaMP5X0P7T/sLarqNwOGqrlIsivt5Ol3wJeBu9BaiB5Dq5Q6vKo+Ot3LNhckSR4JHA78iVZdc0A/bXo0sDtwaVW9fMgYdaveqnwI7WfrK8C7gXsBrwQeDpxfVdsNF6HmZvT3XpItgD2AD1TVkf21F9Kq3N4PvH8k2aEJlWRnWiJq2ySrALsCP6U9NC0KLFFVZw8Zo+att/58mjbz6xO0JMajaHP4FgM+XVUfGy5C3RFJNgBuqarv9A6L/wXWoV3blwEbVtUfRp85NLx+2PYS4Oiq+mtvk31WVe2eZFZv+ToI+HJVnTRstOqz9J5Ju4e5McmDaTMT/wnsXlXnDhrgfGIyaoZK8hra0OvvA18DvldVe/bPvY42W+O8AUPUHCTZhjbrZDfaQ/KXaL3530jbYnJjVf1hyBh1q9mSv0vQZmU8BNi4qv7YE8Jr0JIce1XVZcNFO7NNtQP1Px9Iq7r4Pu3m+mrgIODPwD2r6qzBAtVczZaIWh74G/AMYAfg+1X1nt4GexTwmqo6Z7hodXv1Cpon0WbR/IOWGJ4FvKe3BmkCjcxG3I42F+py2kzLj9GWCCxFO0S7oqpOGyxQ3aZ+f7lWVR2b5GO0Nss1ab9L31hV1yd5FbAs8PU+28ZE1ITpB2070xayHAIU7V5nr5EDm88BP3Lu7LB6N8ymwFbABbQZpX9MsjLwI+CdVfWhAUOcb0xGzUA903o8bd7Jm2gzo94KHNBnaWiCJLl7VV2dZGnam8cetOq1LYGf0H5ZfRA4pqr+1r/HqqiBzfZg/FLgB1V1RpJDgEcCL6yqX/c3nEUdXD6c2a7VDrSy9eOr6uQks2jtsA8C9q6qHw8Yqm6HJG+hVR1uRau6eDwt4Xt3YGlaC/phw0Woecmtix4WqbYx7y60ipp/Ap+oqsuTHEtb1PHpYaPVvPQ5UCfRkr+n9PuY7wMX0Soybs5siz0GDVj/oVfTvJyWfPo98Kiq2qbPJT2SliB+dVVdOjLjzWs5ofosr61pbbF70zapf5nW6nwL8EDgKV6/4fTngoX6z9ITaNVRi9IS+Q+kXb+XVNWNA4Y535iMmmGS3LOq/pxkLVoC6h+0DOtraZnyp5abhSZGkpfTBpS/tap+n7YxbyFaSfsG/Wt+RtsINfvcKE2APp9mM2CrqvpLf+2NtFLpN1TVMUPGN9PNVr32MeChwB+AFWiVFyf0z+1J2wBlO9AES7IZ8BbaDIw/J3ko8BfgZtrP4ZVV9aUhY9TcjbSKrAHsR5utd0FVHd4/vxiwP7B6VT1rwFB1OyX5IO1357f7xw+mDS3/Ne190S2IEy7JkrTk/pNoD8MvqKrz++cOoQ1U3qiq/jhclLo9khxHq/Z+IG124geB84DNgetpoyT+PFyEM1N/vvtzT0B9DliC9ry3F62K9Cm04oPFga0XlBY9MBk1o/TSvn1oc2tOpZVMrwp8ndYqtElVvXWo+PSf+rDkj9IepA6uql/09pOvAe+kJRNfA2zTq6c8jZogSe5DG7D7nKq6LMniU8Mge8vlg6rq7YMGOYPN1pq3GS0Zv2tvqXx2/+fEqvrwkHHq9uvzha6jtVQ+ljab5iTg9VPJYE2mJMv0OSZLAt+mzbB8BC2J+BPgVdxa0b1bVd00WLCaozm1ZiV5Na1d9qVV9bvedrk+rd3yhKo6aoBQdTuMVDotVW0pzobA9rQkxjeq6hf967auqs8PGqxuU585+6Sqek6SNWlzvp4GfKaqjh02upkryUq01uXjaBWIjwCm5luuQutcOr0nrBatqgsHC/ZOMGvoAHTnGn3Y6sMED6IloHanlWjeCFxTbZuXsxcmxFRSqbcoXAhsAzwzyQur6utJ3gm8ArgbsEtPRNmfP3kup1UcrpnkipFE1La0FpMFosR2OuoVFtsm+SKt/WcXYLm07Ws/TvIF2rXbPclZU6f6miyj73HdWbTWg4WADwNr9f9dF7AKcUIl2QVYPsk7aC0JH6clEfekVW7vTGsJejHw8nLw/MTp9y1TVabvBi6lHXq/t7edHJ7k97TtzU+m/c5dYbCANU8jiailgeOS7FtVJyW5kZYg3rJ3W5w4lYiaw+9jTZYbaRU39LERfwWeC7wwyW+r6oxBo5uhquriJL8GtqBVPh3TK0Z3790VRyR5QlVdOmigdxLXvi/AenLilrT11vsnOYI2PPl02jDJk2nDBt+cZKF+s6AJMDK/Zk/a9q7H0FZZvzltG9TxwNOBzavqNBNRkyEja48B+hyos2il7Sv3r3kxsBOt2k3DeRBwLi0pvzKtRP1U4JVJ1qqqa4ETgZ1NRE2mqfe4/ucXpy3fuIrWTrJVP+ldi3atTxkuUs1LkhWBnarqbbQNa+cCR9DaEw6rqq/TVsX/A1jOh93J1g/LVgIuBF6a5CjaJr3nAe8C1qNd5/VpM1A0gUZ+zr5EW2r07X6Icz5tw+wSwJP6a7N/jybA1HNdn/sFcDRwQ5LXJ1miqi6hHZp+zETUMKaeG6rqfbTKqLsAT+ut6lTVgbTt6YsPFuSdzDa9GaD3B58LnEEbfP074O19LsPqtE0mUo5LTgAAGmZJREFUVw4Zo/7dVGVUkoOBX1XVwf317Wg3dfsD+9mmMDlmmz30VuCvtJvxk2hr5JeivcksD2xfVb8bKlbdKskewGrAJ6vqh/3arQ18pKq+Nmx0uj2SfII2mPyXtFlsB1bVQUnWoT00vamqvj9kjJq7XnlxAm1A66VVtVl//S20bU8fpT0Qv7mqvjtYoJqjnoxYpKr+nuQhtEUP2yU5lJYcvonWMntAVZ2YttFyT9rvXGfwTZj+XLBIVZ2V5L7AQVW1eW+BXp+2PGd7WivtYs6JmkwjlW0PAzYAbgA+S5vvtSGtdfZsWi5gi+EinblGrtFytO2/NwH3o829vJJWXbo8bWnARsNFeueyMmoBl7Y57y5VtUe1rTN703qE9waoqt+aiJocU6cXI3Offgg8JMm9+utHAV8FbjARNVlGElEfBe4DXENrNXltVb2ENufk7cB2JqKG1WexTTkG+C3wnCSbV9W+tAfjFydZdJAANU+j1y/J44AHV9Wz+/y1DYHdkrwM+AWwq4moyZRk0SSPr6qrgANoywNWHPmSb9IqFj8BnG4iamLtCDy4H8icBeyRZGNg5aranVZhCm3DJVV1DbCniajJ03+3bgL8JckKfTbNDUnOpx3a7EM71N4EuNpE1OTqSY7lgaOAS2gJ4A/SDkr3pm1IPMhE1DBGupeWpP2O/CytA+YutFE6NwLPB66lzfVaYFkZtYDrJZpH0v5D/0KfLfRI4AW0h2RbhSZEbl1vvBxwf9ovot8AhwN/pD0wPwi4V1U9t3+PA8snSJInArtX1ZZJjqe1fT2dtsb6xVV13aABznBpK41Pq6prk8wCbukViHenzU14CO1n7qPA4lX1j+Gi1Zz0G7ePAYf3+SVTH+8NXNgrfp8OPLKq9hsyVs1bkg1oCaeXAZ8ClqMNcd2AtkzgnF5Fs2hVXT5cpJqbfoC2Eu0e5R3Al6rq1CSPpw0sf0GvNl24qvbu3+N9ywTqiah79/my96Ednn2xqk5IslpVnddbij4HnNnbajVhRn++0raynUxbevRVWvXwGrTB2Cd6qD28JK+gdU6cQNuY91ja4qMTaUs7Pl1VVwwX4Z3PAeYLmJGSv3sCd+tvHsfQevRnJfkx8Gbg9yaiJkeSJwBnJvkbra3rN7TE06docxZ2Bu4LLEkb+jnHrTUav5Ek4uP6Sy/p5ew3V9U7k1xGO018EfChoeIU0MqdL07yxKo6u8/KW6iqrgYOTrID7UbgAbUArc1dwGwJPAdYKcnqVXVwkiuA/YA3JflT/xoTiROuqk7uSYuvAA+sqtcBL0qyL/D9JLtUlUPnJ1T6hjXgon4Qcz2wY5JlafcxqyY5Flgd+J/+PSaiJtd2wDN6dfcPaZWlT++V+V/uX3M4cNNUIsrrOXlGElHL0JY/XEurjnp5Vf0gyQ9p7ew/oLXRaiBJ9qdVlq5bVecnuYY2w+uFwCp9jtQCz8qoBcjIQ/GatF88fwH+2qs0NqW1L6wKXFBVrx4wVHW9cm1J2kDyX9GGXa9cVW9J8kBaMurnVbVr//pZ/eTfjSUTYORn7oG0m7Qd+xvK1rTWobcnORD4WVUdMWy0Aui/H08BXlhVX5pt1tfLaNfqtEGD1Dz1G7gbaQn686pqv7ShyWvRHogXsvVgco383hydl/FN4PKpuRhJdqSd3j+02jIBTZA+52tj4E+0bb/HAufR2kkeQ9sWe0JPZNxUVVd63zLZ+nyozWlr5T9TVd9KsiWtWuN82vDrxabGDHggOrmSPIlW7b0bsBjt/vRY4Iu0yrYPlYtZBtff+75Fa3l9Un/tHrQCkstmyogBk1ELiKnTiV5mewit/PLI3iq0MrBhVV2RZAngek8yJks/wdiftjnvZGCfkV7iI2jXcB1aW5EVbRMkyV1o1YaLVtUe/bWn0NqGLgEeVlVrDRiiZtPf7H8KHFJV7+yvfYOWqH/poMFpjpIsWW3VMUmeRxug+05ga+CfwB7AXWkbZ64ygTGZZmsh2QS4jpYA/luSL9GGtz61qi5Nchev42TqyagNafctf6+qR/XXVwDWpSWqzqcNLTcBNcFmO5D5OG021D9ph9qfoFW17QScA7ynP2uYiJpgSR5DG4K9X7WN28+lVb6tDnzWFvZhjBzE3JM2z/mC/vpxwAOBDfp73yIzqYXSNr0FwGxlsm+gDQA9D6CqnpXk3cClSZ4yU7Ks08XItftnVe2Stpp8U+CJSU7rD1+bJXlyVd0wbLSai0fSToKT5BFV9Yt+onhJ//yfBoxNc9AT8w8CvtZP7q8GZpmImkxJng28LMkHgR9X1Wd7An8D2uHLTsDngb2q6pcDhqrbMJKIeiftoXcWbYTAjlW1Wa8kvSjJirRtQppAVXVVkt/SNnT9MsluwBH9QeqrtAVJF5mImnwjiahP0jZ6vYA2pPzhtDavD9Nah66Z+vk1ETWZktytqq6pqp8k+QrwkSTbAscB3wVWq6rvDBrkDDVSCfwY2pbfW5KcDbyj2rbK/YFL0jaSnjNosGPmNr0FwMjN3b2BXwN/B57aH7bo1RqvGC5CzUnPkFe/Tu9N8syqeg/wSdqMoS3ShrdSfYtQb+vTgGa/BlX1A1r//YXAs5M8rp9qnNP/uXqQQDVPVXUj7WR/cdoN95bDRqR5uJHWKrIX8Ky0oaw30A5e/gC8CziN1vKsCZfk0cAjqmpr2v3K2VX11z6DaHfg8VX1FxMZkydtgDVJ7toTv2vRtsauAby2z4t6AXC+h5/TR++aCG0xxAW0qqizaLNr3kObM3vJ3P8GDSXJOkkW750Ub0ryif5z+BlaZ8XDq+raqrrYRNRweiJqGeAg4DW05WLPoz3/Payq3gxsVlW/mWndS7bpTWNJFq+q6/ufnwY8v6q2TRuG/RLg97QNCqd7ijFZRko1V6OdOi1HW7d6NO3Gbj3ais+3VdXnBwtUc5XkVbSZNZfR+vAvo7XrLU07hfqmD1PTQ24dxKsJlWR1Wmvl64Cf09ZUr0FraT4qyRLltsppIckjaPNMFgLuV1Vb9dffTttk+ceZdjM+HYyMg1gdOJS2Qe/cqto7bUvzc2lJ4yunZn9p+kiyF20cxOuq6qx+8HYsbb7QScNGp9n163N/2v3nZ2iLIJalJThWpM2hXR9YBNh2qiVMw0nyKOAJwNeBY2jXak/gccCLZuocL5NR01TaOt19gUuq6qNJ1gD2rapt+udXA15NO/Xff2rgoCZHv4ZfoZ1EHZ1kJ9qNwIXAe2lvJpf0Cg5NkLStay+mzcvYn1adcSjteu4N/KKqjhsuQmnB02d9nU57rzu8z61ZrKouGzg0zUOSfWgPRAtX1RuTLEWrtlib9pB0XpI30+ZlbDBgqJqLkQO0hWnDkH9BWz3+Plqb87b95P8RtEq3G5wrNLlGWoZWBlaiJfgXp21uXhv4Pu0B+W9V9bL+PW7Om0BJHkabn/gr4P1V9edefboU8EraGIkNyg3BY9dn6C1SVRf1MSyfpBUevJy2Le91acPm9wNeUFXnDxftcGzTm77uRnsAXivJq4ElgHPhX28y59F6Ur9pImpiLQncTLuRo6o+BZxBG8y7G/Cnqrpxqixew0ryqiQL9wfiJ9MGJ69Gmwl1PPB64BVVtY+JKGn+q6oraEM+d0xySFVdZSJqsvX7k01oGywfmuQxvQrx48AvgXf0WTVbA9sOFqjmaSSptC9tuPVhVXUG8HRaq+Wvktyvz0w0ETXB+rW5JckqwFdprXg/Ah5P66b4FPAQWlLxZSPfYyJqwvQE4a+B59OSiu9P8tCqOr2qvlNVWwLrmIgazHLAyX2O3uOr6vLeMfFzYJ0kr6SNGfjfmZqIAiujprXeH/wUWkvXKrRyzCNpD8jXAhdW1WsGC1D/Zk6nSmmr5NekDf48tZ/0/x9tK9Rbq+rkAULVbHrl4ceq6skjpdE3AZ+uqvX6vIXjge9X1b5Dxiot6PrP4CeAJavKBMaESvIc4PV166a1T9PuTVahbXq6mPbQexfg11X1h6Fi1byNVEbtCzyDVhH1hZFREfsBX3NO1PTQf4eeSBsHcQ5wKq3a7Yu0e52bR752YUcOTJaRltk1aM/yZ/XX96PNcTuQtuzD1vWBJXk5cADwmaratb+2DO336Dq0RQ/vGjDEwblNb5oZfVOotmnt+CR/pJ1s/IpWLXUwbQvN9YMFqrlKsj5wT9ob/zHAvWmbol5E28z2euBhtDcUk1GT4Rbg3lObSoDzk6wELJLkvrSE4k3A/w4ZpDQT9KT+i5LcfehYNE9/o/1uJMmDabMydgMeDHyb1tr19eHC0x2wPHBZVb01yS9p7T9LJPl8VV1dVXuCrVyTbLZqtbvRDj5/TJtf8z/A6sAXaPc1H66+Wt5E1GQZabF8Gm3e0FVJ/kRLIu6ZZGdakvGFtDmLGrORa3RP4Gxa0cjhSb5SVc+otrDj71X18mEjnQwmo6aR/iZ/S//zh2ibL26hzYb6E7AD7Sbvp1V15mCB6j+MnCo+k9Yb/GnajKGdaMnDVWg36sfQNpgcDOw4ULjqkqwHnFZV5ya5hjb3ZOpn8eIk36SVuV8N7F5V1w4XrTSzlJsqJ1pVnZDk0Umuom0/fEq/N/lakmtps0xMRk2okeqLTYFdk5xPa638DHARbU7Ng5Ls2w9HMRE1uaYSUUkeVFXnAJ/o82ouqaqzk1xEOwA9dSoRpcnTkxwr0eaTbgVsR9uYvnCSo6vqkCQ/qyoTUQMYSUStSKs0fEVVnU4bq3NckjOAE4BH05YdzXjOjJomksyaepPvg67XpN0QLEsbNHgL8EHa3Kh/DBWn5qwnolYB3gFsQWtPOJdWuvl62sbDg4Dv0tZ+vq2qfjxUvPqX5YGLkzyI9nO2eJK7Anfv/7sfsAuweVWdOmCckjRx+jyT+wHXAeuOfGpDYNFBgtJtSnLXnohajXaf8kraTJoX0OZGXUCrvLhyKhGlydXb8kjydOCXSd7QP/UL4MYkhwLfAb7kvedkSrJukrv1D1elLYG4F60QYX1adf57k2xlImpQU9WHn6LN1vtpkhWSPKCqNqcVGxTOSPwXZ0ZNA0kWBV5EGyx4b9qgumOqr1pNW4e8NfCSqvreUHHqP/U2kiWq6k/9ZuCxtGThp6rq0UkeR+vVf9NUz3CS+1bVhcNFrVF9U8n3aGXtXweWpg2eX4Y262TPqjpquAglabL1+5ivAWfSqmoeV1VbDxuV5qTfU14AHEtbPX4ecDnwEeCtwB7AZcA+I7NqHFg+oUYq3DakJRMvpVXeHwdMzS19Mm0z6YGj3zNUzPp3vQhhd2BL4Hf9gHshWkL4AVX1piRPpR2OvriqLh8w3BlppJPi2iQPoB1Wf5Q2x/nZtKKRE6vqoCSLWH14K9v0poeH0mYJ3YN2MvVo4LIkP+3bhPbq/cJb0h6aNQGS7AJsSpur8MWq+hDw435DMLXhcFHaVqFPTX2fiajJUlW/TrIqcBrtzWQDWovsCsDltgpJ0rxV2wy7Ie1U+E20k31NmH7fsjGwZVVdCXygJxLfThtG/+0k6wKLAX+c+j4TUZOrJ6LuSqtoe39VfT7JXrRK/G8Am1XVr0aqp0wsTpB+aP06YPtqm9JHW8FOA/bsl25T4FUmogYz1UnxP1V1VpKzaVvtTwLeCKwMPKsnEW+ex98z41gZNU0keTgt2fQ32n/wjwW+TNvC5mrrCdOHlB9AO8lYAtgIeEdVXZPkHrRB1wvRtiFuV1U/9AZgsiVZhLZ95uypjRiSpDsmyVJV9beh49C/66f5RwNPr6rLkixLOwBdifYwfBWwP3A48PyqOt0KmukjyXuA71TVCf3jlYAf0g5Ht6qqK4aMT3OWtsHylqp6W5IVgCcCu9KGk/+AVrW4BW1esFX6A0qyJq3ddbuqOinJPavqz/1zX6Jt3HbR0WxMRk2wJCtV1cUjH9+PNqjun/2fJwB/pZVKXzRMlJpd355wCW1Y6/eSbAEcRhsMuQpt4OBCtM0lC1XVid7QTQ/95PATwFJVtc3Q8UiSND8kWZ1WubYNsCStHW9dWmvlUrST/d/T5god5n3L5JrT4WaSHWljPl5aVb9Nsg6wPe3a/rCqPjb+SHVb+pyvHWhtlTvRFlZdS2ulXa2qXjZcdJpdkuVoicKDq+pdSZYE9gGWrqoXDxrchDIZNaH6sOtTaNU0h468vjSt53sVWvnfvsD+VXXBEHFqzpIcSGuv3JWWvPhMVR2e5CDgGcCjquqaka/3pm4aSXJ32/MkSQuKftiyD/A44BHAkbQH4F/RFq18A/hRVd0w9fXet0ye0euS5B20eZerAS+mHYZuS1s3vxGttWtDYJmqeuswEWtektwfeA5tSPn5tFbLs5MsQ/sZfWVVnTtkjPp3IzMSz6+qnZOsNtViqf9kMmqC9WF0+wDfrKq9Z/vcibSh16cPEZtuW5JtgKOAD1bVq0Ze/yKtr/sPgwUnSZI0oh94PgRYsaqOGXn9GODUqQHXmlxTVVFJXkIbQL8zrbLm2cBzaZU1y9C2ry0HfAjYtKr+OJe/UgPryY1/VtXNI6+9gHZdN6qqWwYLTnPUk/uH0hYDbD90PJPMAeYTrKq+keRC2gDJT1bV80c+vRBtoLkmVFUdneQM4JQkJ1fV8UleDdzLRJQkSZokVXUVbY7QvyR5PbCsiajJl2TpqrqqD0l+BG21/DnAW5KcCRwBrFdVZ/ah5jsCrzYRNZlGqtxuGql2uxutou21wDNNRE2mfr1e2Leqax4WGjoAzVtV/YZ2krFwkp8n2TTJ/wG/raoTBw5Pt6GvPX4w8J4kx9OGDG4FbRvGkLFJkiTNSZJlk2xHm1W6fX/N+5YJ1avu/y/Jmn1e1NnAWlOfr6ojgV8Ai/eP/0GbOfvdIeLVf5raaDilb0KcvR12JeB+wK6OaJl8jvS4bbbpTSNJXkfr/b6uqt45dDy6/XqJ7fHAfn2ouZvzJEnSROoPxvcGFq6qi6fWyQ8dl+YsyddoSYrzgQ8DP6LN/PoJbfv22rRWvf8ZbffS5OljWhYFLq6qn/fX/vXckGSJqrpuyBil+cVklDRmJqIkSZI0vyR5DG2G0I+BzYEvAMcC+wGLAfcCXldVF5lYnDxTFVBJNgM+QhtOvinwv1OLrJIsUlU3DRmnNL85M0oaMxNRkiRJ+v+RZCXg733W15m0Fryn0JIZuwL3qarX9a9drKpu6AeiJqImTE9ErQQ8Ediiqk5L8mXg4CT3q6q3mIjSgsiZUZIkSZI0TSS5N3AOcEKSTWjzoXYDfg9cDxwArJXkyCRLADeDB6KTKM1CwL7A04CVksyqqlOAZwBbJjlg0CClO4ltepIkSZI0jSR5O7An8DbgOmAjWiLqjKp6Y5KHAKtU1dcHDFNzMfvYjiRL0a7lfYC3A2dX1c09mbiow7C1IDIZJUmSJEnTTJJnAh8HngTck7ax+WZg/96+N/V1s29l04BGr0eSHYDLgd9U1e+TvAV4PPBB4JSqun7AUKU7lckoSZIkSZqGkqwFnAQ8p6pO7i1ebsybBpK8A3gY8BdgBeBzVXVEkp2AVwJbVdUFA4Yo3alMRkmSJEnSNJVkOeCHtGTGPgOHo9shyXrAG6rqaUk+CSwHXAGcDhwMrFBVFw0XoXTnc4C5JEmSJE1TVXU5sCawbpL7Dx2P5izJriPX52rgtUmeCyxbVZsCVwLPAzYzEaWZwGSUJEmSJE1jVXVjVa1fVb9LkqHj0b9L8hFgY1pLHlX186o6G1gW+EX/skuBb1XVMcNEKY3XrKEDkCRJkiTNHw4rnyxJXgo8uKqe0j9eCLgXbdj8CcDPkjwMWAN44mCBSmNmMkqSJEmSpPmsV6mtCBzXP14fWB/YHjgDOJKWhNoQ+GFVXTFQqNLYOcBckiRJkqQ7QZKNgDcDZ9ISUV8AzgauA7aoqp0GDE8ajJVRkiRJkiTdOU4B7gpsDrwNOLGq/prkPsArk6wKXGh7pWYaK6MkSZIkSRqjJB8HbqiqVwwdizQEK6MkSZIkSRqDJCsCbwBWqqqnDR2PNJSFhg5AkiRJkqQZ4kbgR8DWQwciDck2PUmSJEmSJI2NlVGSJEmSJEkaG5NRkiRJkiRJGhuTUZIkSZIkSRobk1GSJEmSJEkaG5NRkiRJA0uyVZJvJbkqyQ1Jzk3y3iQrJlk1SSXZdOTr90iy3oAhS5Ik/ddMRkmSJA0oyYHA0cDvgB2AjYH3ARsAHwYuBdYBvj/ybXsA6401UEmSpPlk1tABSJIkzVRJngm8FnhRVR028qlTkhwCbFxVNwA/GiRASZKkO0GqaugYJEmSZqQk3wLuXlWPnsfXrAr8HnhmVZ2Q5ALgvrN92frArsA9q2q92b5/H2AXYKWquml+xS5JkvTfsk1PkiRpAEkWAZ4AfP0OfusWwNXAobT2vXWAn/WPn5zkfiP/jgA7AZ81ESVJkiaFyShJkqRh3ANYDLjojnxTVf0cuBm4uKp+1P+5BvgmcDHw/JEvXx9YFTh8fgQsSZI0P5iMkiRJGtZ8mZlQVf+kJZ127BVR0BJTP62qM+bHv0OSJGl+MBklSZI0jCuAG4BV5uPfeThtntT6SZYCtgIOm/e3SJIkjZfJKEmSpAH0GU4/AJ46H//OC4CTaBVR29Du9Y6cX3+/JEnS/GAySpIkaTjvB9ZOstPsn0iyUJJN5vJ9NwKLz+Vzh9IqonYFjquqq+ZLpJIkSfOJyShJkqSBVNWXgfcChyY5JMkzkqyb5KXA6cBL5/KtvwGekWS9JGv3lrwpxwHXA4/CweWSJGkCmYySJEkaUFXtDmwLrA58jrYVb3fgZGCXuXzb64F/AF8BfgI8euTvuwH4GvAHWsueJEnSREnVfFngIkmSpAmQZBZwIXBYVe01dDySJEmzmzV0AJIkSfr/l2RR4OHAc4F7AB8bNiJJkqQ5MxklSZK0YFgROA34M/DSqrp44HgkSZLmyDY9SZIkSZIkjY0DzCVJkiRJkjQ2JqMkSZIkSZI0NiajJEmSJEmSNDYmoyRJkiRJkjQ2JqMkSZIkSZI0NiajJEmSJEmSNDb/D3+n/H3TrRjVAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "rsQrRw5b0k0d",
        "outputId": "174ba536-c58a-4838-cb8e-ea50ef888264"
      },
      "source": [
        "df['Attacktype'].value_counts().plot(kind='bar',figsize=(20,10),color='orange')\n",
        "plt.xticks(rotation = 50)\n",
        "plt.xlabel(\"Attacktype\",fontsize=15)\n",
        "plt.ylabel(\"Number of attack\",fontsize=15)\n",
        "plt.title(\"Name of attacktype\",fontsize=20)\n",
        "plt.show()"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "3t-FkeRT0ohF",
        "outputId": "df721c2e-3b70-445e-eab3-f4e9a7813a09"
      },
      "source": [
        "df[['Attacktype','kill']].groupby([\"Attacktype\"],axis=0).sum().plot(kind='bar',figsize=(20,10),color=['darkslateblue'])\n",
        "plt.xticks(rotation=50)\n",
        "plt.title(\"Number of killed \",fontsize=20)\n",
        "plt.ylabel('Number of people',fontsize=15)\n",
        "plt.xlabel('Attack type',fontsize=15)\n",
        "plt.show()"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "Ivuoc46H0y-_",
        "outputId": "76e0c1ce-152a-4c17-ff45-bf2cf7ce8e4b"
      },
      "source": [
        "df[['Attacktype','Wound']].groupby([\"Attacktype\"],axis=0).sum().plot(kind='bar',figsize=(20,10),color=['yellow'])\n",
        "plt.xticks(rotation=50)\n",
        "plt.title(\"Number of wounded  \",fontsize=20)\n",
        "plt.ylabel('Number of people',fontsize=15)\n",
        "plt.xlabel('Attack type',fontsize=15)\n",
        "plt.show()"
      ],
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "jjVIFgGP03pk",
        "outputId": "23f8c7fb-27a6-4f42-9873-88f1c1b89004"
      },
      "source": [
        "plt.subplots(figsize=(20,10))\n",
        "sns.countplot(df[\"Targettype\"],order=df['Targettype'].value_counts().index,palette=\"gist_heat\",edgecolor=sns.color_palette(\"mako\"));\n",
        "plt.xticks(rotation=90)\n",
        "plt.xlabel(\"Attacktype\",fontsize=15)\n",
        "plt.ylabel(\"count\",fontsize=15)\n",
        "plt.title(\"Attack per year\",fontsize=20)\n",
        "plt.show()"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 868
        },
        "id": "cBxCp35S1AOE",
        "outputId": "69b8ebdd-cb1a-4f4b-f444-367c180e9f49"
      },
      "source": [
        "df['Group'].value_counts().to_frame().drop('Unknown').head(10).plot(kind='bar',color='green',figsize=(20,10))\n",
        "plt.title(\"Top 10 terrorist group attack\",fontsize=20)\n",
        "plt.xlabel(\"terrorist group name\",fontsize=15)\n",
        "plt.ylabel(\"Attack number\",fontsize=15)\n",
        "plt.show()"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 868
        },
        "id": "czZaFqTW1OCz",
        "outputId": "40336d75-f70b-405a-ddd3-7bbcda743f5c"
      },
      "source": [
        "df[['Group','kill']].groupby(['Group'],axis=0).sum().drop('Unknown').sort_values('kill',ascending=False).head(10).plot(kind='bar',color='cyan',figsize=(20,10))\n",
        "plt.title(\"Top 10 terrorist group attack\",fontsize=20)\n",
        "plt.xlabel(\"terrorist group name\",fontsize=15)\n",
        "plt.ylabel(\"No of killed people\",fontsize=15)\n",
        "plt.show()"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "yBxYV4D411ce",
        "outputId": "2098acd9-3545-4b38-b5d1-55c089c543c4"
      },
      "source": [
        "df_1=df[['Group','Country','kill']]\n",
        "df_1=df_1.groupby(['Group','Country'],axis=0).sum().sort_values('kill',ascending=False).drop('Unknown').reset_index().head(10)\n",
        "df_1"
      ],
      "execution_count": 68,
      "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",
              "      <th>Country</th>\n",
              "      <th>kill</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Islamic State of Iraq and the Levant (ISIL)</td>\n",
              "      <td>Iraq</td>\n",
              "      <td>31058.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Taliban</td>\n",
              "      <td>Afghanistan</td>\n",
              "      <td>29269.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Boko Haram</td>\n",
              "      <td>Nigeria</td>\n",
              "      <td>16917.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Shining Path (SL)</td>\n",
              "      <td>Peru</td>\n",
              "      <td>11595.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Liberation Tigers of Tamil Eelam (LTTE)</td>\n",
              "      <td>Sri Lanka</td>\n",
              "      <td>10928.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Al-Shabaab</td>\n",
              "      <td>Somalia</td>\n",
              "      <td>8176.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Farabundo Marti National Liberation Front (FMLN)</td>\n",
              "      <td>El Salvador</td>\n",
              "      <td>8019.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Islamic State of Iraq and the Levant (ISIL)</td>\n",
              "      <td>Syria</td>\n",
              "      <td>6883.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Nicaraguan Democratic Force (FDN)</td>\n",
              "      <td>Nicaragua</td>\n",
              "      <td>6630.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Tehrik-i-Taliban Pakistan (TTP)</td>\n",
              "      <td>Pakistan</td>\n",
              "      <td>6014.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                              Group      Country     kill\n",
              "0       Islamic State of Iraq and the Levant (ISIL)         Iraq  31058.0\n",
              "1                                           Taliban  Afghanistan  29269.0\n",
              "2                                        Boko Haram      Nigeria  16917.0\n",
              "3                                 Shining Path (SL)         Peru  11595.0\n",
              "4           Liberation Tigers of Tamil Eelam (LTTE)    Sri Lanka  10928.0\n",
              "5                                        Al-Shabaab      Somalia   8176.0\n",
              "6  Farabundo Marti National Liberation Front (FMLN)  El Salvador   8019.0\n",
              "7       Islamic State of Iraq and the Levant (ISIL)        Syria   6883.0\n",
              "8                 Nicaraguan Democratic Force (FDN)    Nicaragua   6630.0\n",
              "9                   Tehrik-i-Taliban Pakistan (TTP)     Pakistan   6014.0"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K75uElMH185N",
        "outputId": "e29adf05-86ef-4d34-dc4f-7aba2be8b273"
      },
      "source": [
        "kill = df.loc[:,'kill']\n",
        "print('Number of people killed by terror attack:', int(sum(kill.dropna())))"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of people killed by terror attack: 411868\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 97
        },
        "id": "aHJVBuZV2GjU",
        "outputId": "1fa31c37-6998-49e3-9b05-4f20dca8c6c0"
      },
      "source": [
        "typeKill = df.pivot_table(columns='Attacktype', values='kill', aggfunc='sum')\n",
        "typeKill"
      ],
      "execution_count": 70,
      "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>Attacktype</th>\n",
              "      <th>Armed Assault</th>\n",
              "      <th>Assassination</th>\n",
              "      <th>Bombing/Explosion</th>\n",
              "      <th>Facility/Infrastructure Attack</th>\n",
              "      <th>Hijacking</th>\n",
              "      <th>Hostage Taking (Barricade Incident)</th>\n",
              "      <th>Hostage Taking (Kidnapping)</th>\n",
              "      <th>Unarmed Assault</th>\n",
              "      <th>Unknown</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>kill</th>\n",
              "      <td>160297.0</td>\n",
              "      <td>24920.0</td>\n",
              "      <td>157321.0</td>\n",
              "      <td>3642.0</td>\n",
              "      <td>3718.0</td>\n",
              "      <td>4478.0</td>\n",
              "      <td>24231.0</td>\n",
              "      <td>880.0</td>\n",
              "      <td>32381.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Attacktype  Armed Assault  Assassination  ...  Unarmed Assault  Unknown\n",
              "kill             160297.0        24920.0  ...            880.0  32381.0\n",
              "\n",
              "[1 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 196
        },
        "id": "JWy4e1wb2K5q",
        "outputId": "df6adc10-d362-435d-883b-cdca8d6d075d"
      },
      "source": [
        "countryKill = df.pivot_table(columns='Country', values='kill', aggfunc='sum')\n",
        "countryKill"
      ],
      "execution_count": 71,
      "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>Country</th>\n",
              "      <th>Afghanistan</th>\n",
              "      <th>Albania</th>\n",
              "      <th>Algeria</th>\n",
              "      <th>Andorra</th>\n",
              "      <th>Angola</th>\n",
              "      <th>Antigua and Barbuda</th>\n",
              "      <th>Argentina</th>\n",
              "      <th>Armenia</th>\n",
              "      <th>Australia</th>\n",
              "      <th>Austria</th>\n",
              "      <th>Azerbaijan</th>\n",
              "      <th>Bahamas</th>\n",
              "      <th>Bahrain</th>\n",
              "      <th>Bangladesh</th>\n",
              "      <th>Barbados</th>\n",
              "      <th>Belarus</th>\n",
              "      <th>Belgium</th>\n",
              "      <th>Belize</th>\n",
              "      <th>Benin</th>\n",
              "      <th>Bhutan</th>\n",
              "      <th>Bolivia</th>\n",
              "      <th>Bosnia-Herzegovina</th>\n",
              "      <th>Botswana</th>\n",
              "      <th>Brazil</th>\n",
              "      <th>Brunei</th>\n",
              "      <th>Bulgaria</th>\n",
              "      <th>Burkina Faso</th>\n",
              "      <th>Burundi</th>\n",
              "      <th>Cambodia</th>\n",
              "      <th>Cameroon</th>\n",
              "      <th>Canada</th>\n",
              "      <th>Central African Republic</th>\n",
              "      <th>Chad</th>\n",
              "      <th>Chile</th>\n",
              "      <th>China</th>\n",
              "      <th>Colombia</th>\n",
              "      <th>Comoros</th>\n",
              "      <th>Costa Rica</th>\n",
              "      <th>Croatia</th>\n",
              "      <th>Cuba</th>\n",
              "      <th>...</th>\n",
              "      <th>Soviet Union</th>\n",
              "      <th>Spain</th>\n",
              "      <th>Sri Lanka</th>\n",
              "      <th>St. Kitts and Nevis</th>\n",
              "      <th>St. Lucia</th>\n",
              "      <th>Sudan</th>\n",
              "      <th>Suriname</th>\n",
              "      <th>Swaziland</th>\n",
              "      <th>Sweden</th>\n",
              "      <th>Switzerland</th>\n",
              "      <th>Syria</th>\n",
              "      <th>Taiwan</th>\n",
              "      <th>Tajikistan</th>\n",
              "      <th>Tanzania</th>\n",
              "      <th>Thailand</th>\n",
              "      <th>Togo</th>\n",
              "      <th>Trinidad and Tobago</th>\n",
              "      <th>Tunisia</th>\n",
              "      <th>Turkey</th>\n",
              "      <th>Turkmenistan</th>\n",
              "      <th>Uganda</th>\n",
              "      <th>Ukraine</th>\n",
              "      <th>United Arab Emirates</th>\n",
              "      <th>United Kingdom</th>\n",
              "      <th>United States</th>\n",
              "      <th>Uruguay</th>\n",
              "      <th>Uzbekistan</th>\n",
              "      <th>Vanuatu</th>\n",
              "      <th>Vatican City</th>\n",
              "      <th>Venezuela</th>\n",
              "      <th>Vietnam</th>\n",
              "      <th>Wallis and Futuna</th>\n",
              "      <th>West Bank and Gaza Strip</th>\n",
              "      <th>West Germany (FRG)</th>\n",
              "      <th>Western Sahara</th>\n",
              "      <th>Yemen</th>\n",
              "      <th>Yugoslavia</th>\n",
              "      <th>Zaire</th>\n",
              "      <th>Zambia</th>\n",
              "      <th>Zimbabwe</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>kill</th>\n",
              "      <td>39384.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>11066.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3043.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>490.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>258.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>44.0</td>\n",
              "      <td>1244.0</td>\n",
              "      <td>76.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>203.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>134.0</td>\n",
              "      <td>4205.0</td>\n",
              "      <td>543.0</td>\n",
              "      <td>2347.0</td>\n",
              "      <td>365.0</td>\n",
              "      <td>1990.0</td>\n",
              "      <td>1119.0</td>\n",
              "      <td>228.0</td>\n",
              "      <td>1008.0</td>\n",
              "      <td>14698.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>248.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>...</td>\n",
              "      <td>96.0</td>\n",
              "      <td>1288.0</td>\n",
              "      <td>15530.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3883.0</td>\n",
              "      <td>29.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>74.0</td>\n",
              "      <td>15229.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>307.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>2742.0</td>\n",
              "      <td>76.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>351.0</td>\n",
              "      <td>6888.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3065.0</td>\n",
              "      <td>2261.0</td>\n",
              "      <td>123.0</td>\n",
              "      <td>3410.0</td>\n",
              "      <td>3771.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>227.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1500.0</td>\n",
              "      <td>97.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>8776.0</td>\n",
              "      <td>119.0</td>\n",
              "      <td>324.0</td>\n",
              "      <td>70.0</td>\n",
              "      <td>154.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1 rows × 205 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "Country  Afghanistan  Albania  Algeria  ...  Zaire  Zambia  Zimbabwe\n",
              "kill         39384.0     42.0  11066.0  ...  324.0    70.0     154.0\n",
              "\n",
              "[1 rows x 205 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jePjyhcu2T49"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "##**Analysis Outcome**\n",
        "*Country with the most attacks:* **Iraq**\n",
        "\n",
        "*City with the most attacks*: **Baghdad**\n",
        "\n",
        "*Region with the most attacks:* **Middle East & North Africa**\n",
        "\n",
        "*Year with the most attacks:* **2014**\n",
        "\n",
        "*Month with the most attacks:* **5**\n",
        "\n",
        "*Group with the most attacks:* **Taliban**\n",
        "\n",
        "*Most Attack Types:* **Bombing/Explosion**\n",
        "\n",
        "#**Thank You!!!**"
      ]
    }
  ]
}