Intermediate Level Task-1 - Exploratory Data Analysis on Dataset - Terrorism.ipynb

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  {
   "cell_type": "markdown",
   "id": "a060ac02",
   "metadata": {},
   "source": [
    "# LetsGrowMoreVIP - Data Science Internship\n",
    "Intermediate Level Task-1 - Exploratory Data Analysis on Dataset - Terrorism\n",
    "\n",
    "Completed by - Siddharth Maheshwar Wagh\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4351a537",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd \n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10b5b75b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Asus\\AppData\\Local\\Temp\\ipykernel_23052\\1685041550.py:1: DtypeWarning: Columns (4,6,31,33,61,62,63,76,79,90,92,94,96,114,115,121) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df1= pd.read_csv('globalterrorismdb_0718dist.csv',encoding ='latin1')\n"
     ]
    },
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       "    <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",
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       "      <th>country_txt</th>\n",
       "      <th>region</th>\n",
       "      <th>...</th>\n",
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       "      <th>INT_IDEO</th>\n",
       "      <th>INT_MISC</th>\n",
       "      <th>INT_ANY</th>\n",
       "      <th>related</th>\n",
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       "      <th>0</th>\n",
       "      <td>197000000001</td>\n",
       "      <td>1970</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58</td>\n",
       "      <td>Dominican Republic</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PGIS</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PGIS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>2</th>\n",
       "      <td>197001000001</td>\n",
       "      <td>1970</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>5</td>\n",
       "      <td>...</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",
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       "      <th>3</th>\n",
       "      <td>197001000002</td>\n",
       "      <td>1970</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78</td>\n",
       "      <td>Greece</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
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       "      <td>197001000003</td>\n",
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       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101</td>\n",
       "      <td>Japan</td>\n",
       "      <td>4</td>\n",
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       "      <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",
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       "<p>5 rows × 135 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        eventid  iyear  imonth  iday approxdate  extended resolution  country  \\\n",
       "0  197000000001   1970       7     2        NaN         0        NaN       58   \n",
       "1  197000000002   1970       0     0        NaN         0        NaN      130   \n",
       "2  197001000001   1970       1     0        NaN         0        NaN      160   \n",
       "3  197001000002   1970       1     0        NaN         0        NaN       78   \n",
       "4  197001000003   1970       1     0        NaN         0        NaN      101   \n",
       "\n",
       "          country_txt  region  ... addnotes scite1 scite2  scite3  dbsource  \\\n",
       "0  Dominican Republic       2  ...      NaN    NaN    NaN     NaN      PGIS   \n",
       "1              Mexico       1  ...      NaN    NaN    NaN     NaN      PGIS   \n",
       "2         Philippines       5  ...      NaN    NaN    NaN     NaN      PGIS   \n",
       "3              Greece       8  ...      NaN    NaN    NaN     NaN      PGIS   \n",
       "4               Japan       4  ...      NaN    NaN    NaN     NaN      PGIS   \n",
       "\n",
       "   INT_LOG  INT_IDEO INT_MISC INT_ANY  related  \n",
       "0        0         0        0       0      NaN  \n",
       "1        0         1        1       1      NaN  \n",
       "2       -9        -9        1       1      NaN  \n",
       "3       -9        -9        1       1      NaN  \n",
       "4       -9        -9        1       1      NaN  \n",
       "\n",
       "[5 rows x 135 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1= pd.read_csv('globalterrorismdb_0718dist.csv',encoding ='latin1')\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a794181c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>eventid</th>\n",
       "      <th>iyear</th>\n",
       "      <th>imonth</th>\n",
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       "      <td>1.816910e+05</td>\n",
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       "      <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>0.045346</td>\n",
       "      <td>131.968501</td>\n",
       "      <td>7.160938</td>\n",
       "      <td>23.498343</td>\n",
       "      <td>-4.586957e+02</td>\n",
       "      <td>1.451452</td>\n",
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       "      <td>3.172530e+06</td>\n",
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       "      <td>7.179437e+05</td>\n",
       "      <td>240.378623</td>\n",
       "      <td>4.629242</td>\n",
       "      <td>-29.018269</td>\n",
       "      <td>-4.543731</td>\n",
       "      <td>-4.464398</td>\n",
       "      <td>0.090010</td>\n",
       "      <td>-3.945952</td>\n",
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       "      <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>0.208063</td>\n",
       "      <td>112.414535</td>\n",
       "      <td>2.933408</td>\n",
       "      <td>18.569242</td>\n",
       "      <td>2.047790e+05</td>\n",
       "      <td>0.995430</td>\n",
       "      <td>...</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>2.035360</td>\n",
       "      <td>65.720119</td>\n",
       "      <td>4.543547</td>\n",
       "      <td>4.637152</td>\n",
       "      <td>0.568457</td>\n",
       "      <td>4.691325</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>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-53.154613</td>\n",
       "      <td>-8.618590e+07</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</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>1.000000</td>\n",
       "      <td>-99.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>-9.000000</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>0.000000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>11.510046</td>\n",
       "      <td>4.545640e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</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>2.000000</td>\n",
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       "      <td>-9.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-9.000000</td>\n",
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       "      <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>0.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>31.467463</td>\n",
       "      <td>4.324651e+01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</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>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <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>0.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>34.685087</td>\n",
       "      <td>6.871033e+01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</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>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <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>1.000000</td>\n",
       "      <td>1004.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>74.633553</td>\n",
       "      <td>1.793667e+02</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>...</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>7.000000</td>\n",
       "      <td>2769.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "<p>8 rows × 77 columns</p>\n",
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      ],
      "text/plain": [
       "            eventid          iyear         imonth           iday  \\\n",
       "count  1.816910e+05  181691.000000  181691.000000  181691.000000   \n",
       "mean   2.002705e+11    2002.638997       6.467277      15.505644   \n",
       "std    1.325957e+09      13.259430       3.388303       8.814045   \n",
       "min    1.970000e+11    1970.000000       0.000000       0.000000   \n",
       "25%    1.991021e+11    1991.000000       4.000000       8.000000   \n",
       "50%    2.009022e+11    2009.000000       6.000000      15.000000   \n",
       "75%    2.014081e+11    2014.000000       9.000000      23.000000   \n",
       "max    2.017123e+11    2017.000000      12.000000      31.000000   \n",
       "\n",
       "            extended        country         region       latitude  \\\n",
       "count  181691.000000  181691.000000  181691.000000  177135.000000   \n",
       "mean        0.045346     131.968501       7.160938      23.498343   \n",
       "std         0.208063     112.414535       2.933408      18.569242   \n",
       "min         0.000000       4.000000       1.000000     -53.154613   \n",
       "25%         0.000000      78.000000       5.000000      11.510046   \n",
       "50%         0.000000      98.000000       6.000000      31.467463   \n",
       "75%         0.000000     160.000000      10.000000      34.685087   \n",
       "max         1.000000    1004.000000      12.000000      74.633553   \n",
       "\n",
       "          longitude    specificity  ...     ransomamt   ransomamtus  \\\n",
       "count  1.771340e+05  181685.000000  ...  1.350000e+03  5.630000e+02   \n",
       "mean  -4.586957e+02       1.451452  ...  3.172530e+06  5.784865e+05   \n",
       "std    2.047790e+05       0.995430  ...  3.021157e+07  7.077924e+06   \n",
       "min   -8.618590e+07       1.000000  ... -9.900000e+01 -9.900000e+01   \n",
       "25%    4.545640e+00       1.000000  ...  0.000000e+00  0.000000e+00   \n",
       "50%    4.324651e+01       1.000000  ...  1.500000e+04  0.000000e+00   \n",
       "75%    6.871033e+01       1.000000  ...  4.000000e+05  0.000000e+00   \n",
       "max    1.793667e+02       5.000000  ...  1.000000e+09  1.320000e+08   \n",
       "\n",
       "         ransompaid  ransompaidus  hostkidoutcome     nreleased  \\\n",
       "count  7.740000e+02    552.000000    10991.000000  10400.000000   \n",
       "mean   7.179437e+05    240.378623        4.629242    -29.018269   \n",
       "std    1.014392e+07   2940.967293        2.035360     65.720119   \n",
       "min   -9.900000e+01    -99.000000        1.000000    -99.000000   \n",
       "25%   -9.900000e+01      0.000000        2.000000    -99.000000   \n",
       "50%    0.000000e+00      0.000000        4.000000      0.000000   \n",
       "75%    1.273412e+03      0.000000        7.000000      1.000000   \n",
       "max    2.750000e+08  48000.000000        7.000000   2769.000000   \n",
       "\n",
       "             INT_LOG       INT_IDEO       INT_MISC        INT_ANY  \n",
       "count  181691.000000  181691.000000  181691.000000  181691.000000  \n",
       "mean       -4.543731      -4.464398       0.090010      -3.945952  \n",
       "std         4.543547       4.637152       0.568457       4.691325  \n",
       "min        -9.000000      -9.000000      -9.000000      -9.000000  \n",
       "25%        -9.000000      -9.000000       0.000000      -9.000000  \n",
       "50%        -9.000000      -9.000000       0.000000       0.000000  \n",
       "75%         0.000000       0.000000       0.000000       0.000000  \n",
       "max         1.000000       1.000000       1.000000       1.000000  \n",
       "\n",
       "[8 rows x 77 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "244df57f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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"
     ]
    }
   ],
   "source": [
    "df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5824d458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(181691, 135)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f8388c90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['eventid', 'iyear', 'imonth', 'iday', 'approxdate', 'extended', 'resolution', 'country', 'country_txt', 'region', 'region_txt', 'provstate', 'city', 'latitude', 'longitude', 'specificity', 'vicinity', 'location', 'summary', 'crit1', 'crit2', 'crit3', 'doubtterr', 'alternative', 'alternative_txt', 'multiple', 'success', 'suicide', 'attacktype1', 'attacktype1_txt', 'attacktype2', 'attacktype2_txt', 'attacktype3', 'attacktype3_txt', 'targtype1', 'targtype1_txt', 'targsubtype1', 'targsubtype1_txt', 'corp1', 'target1', 'natlty1', 'natlty1_txt', 'targtype2', 'targtype2_txt', 'targsubtype2', 'targsubtype2_txt', 'corp2', 'target2', 'natlty2', 'natlty2_txt', 'targtype3', 'targtype3_txt', 'targsubtype3', 'targsubtype3_txt', 'corp3', 'target3', 'natlty3', 'natlty3_txt', 'gname', 'gsubname', 'gname2', 'gsubname2', 'gname3', 'gsubname3', 'motive', 'guncertain1', 'guncertain2', 'guncertain3', 'individual', 'nperps', 'nperpcap', 'claimed', 'claimmode', 'claimmode_txt', 'claim2', 'claimmode2', 'claimmode2_txt', 'claim3', 'claimmode3', 'claimmode3_txt', 'compclaim', 'weaptype1', 'weaptype1_txt', 'weapsubtype1', 'weapsubtype1_txt', 'weaptype2', 'weaptype2_txt', 'weapsubtype2', 'weapsubtype2_txt', 'weaptype3', 'weaptype3_txt', 'weapsubtype3', 'weapsubtype3_txt', 'weaptype4', 'weaptype4_txt', 'weapsubtype4', 'weapsubtype4_txt', 'weapdetail', 'nkill', 'nkillus', 'nkillter', 'nwound', 'nwoundus', 'nwoundte', 'property', 'propextent', 'propextent_txt', 'propvalue', 'propcomment', 'ishostkid', 'nhostkid', 'nhostkidus', 'nhours', 'ndays', 'divert', 'kidhijcountry', 'ransom', 'ransomamt', 'ransomamtus', 'ransompaid', 'ransompaidus', 'ransomnote', 'hostkidoutcome', 'hostkidoutcome_txt', 'nreleased', 'addnotes', 'scite1', 'scite2', 'scite3', 'dbsource', 'INT_LOG', 'INT_IDEO', 'INT_MISC', 'INT_ANY', 'related']\n"
     ]
    }
   ],
   "source": [
    "col = df1.columns.to_list()\n",
    "print(col)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "468e25e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(df1, df1.rename(columns={ 'success': 'Success', 'location': 'Location', 'iyear':'Year','imonth':'Month','extended':'Extended','iday':'Day','country_txt':'Country',\n",
    "                   'country': 'Country_code', 'provstate':'State','region_txt':'Region','attacktype1_txt':'AttackType','target1':'Target',\n",
    "                   'nkill':'Killed','nwound':'Wounded','summary':'Summary','gname':'Group','targtype1_txt':'Target_type',\n",
    "                   'weaptype1_txt':'Weapon_type','motive':'Motive','city':'City','latitude':'Latitude','longitude':'Longitude'},inplace=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6f57f1fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>eventid</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>approxdate</th>\n",
       "      <th>Extended</th>\n",
       "      <th>resolution</th>\n",
       "      <th>Country_code</th>\n",
       "      <th>Country</th>\n",
       "      <th>region</th>\n",
       "      <th>...</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>0</th>\n",
       "      <td>197000000001</td>\n",
       "      <td>1970</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58</td>\n",
       "      <td>Dominican Republic</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PGIS</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>197000000002</td>\n",
       "      <td>1970</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PGIS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>197001000001</td>\n",
       "      <td>1970</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>5</td>\n",
       "      <td>...</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",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>197001000002</td>\n",
       "      <td>1970</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78</td>\n",
       "      <td>Greece</td>\n",
       "      <td>8</td>\n",
       "      <td>...</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",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>197001000003</td>\n",
       "      <td>1970</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101</td>\n",
       "      <td>Japan</td>\n",
       "      <td>4</td>\n",
       "      <td>...</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  Year  Month  Day approxdate  Extended resolution  \\\n",
       "0  197000000001  1970      7    2        NaN         0        NaN   \n",
       "1  197000000002  1970      0    0        NaN         0        NaN   \n",
       "2  197001000001  1970      1    0        NaN         0        NaN   \n",
       "3  197001000002  1970      1    0        NaN         0        NaN   \n",
       "4  197001000003  1970      1    0        NaN         0        NaN   \n",
       "\n",
       "   Country_code             Country  region  ... addnotes scite1 scite2  \\\n",
       "0            58  Dominican Republic       2  ...      NaN    NaN    NaN   \n",
       "1           130              Mexico       1  ...      NaN    NaN    NaN   \n",
       "2           160         Philippines       5  ...      NaN    NaN    NaN   \n",
       "3            78              Greece       8  ...      NaN    NaN    NaN   \n",
       "4           101               Japan       4  ...      NaN    NaN    NaN   \n",
       "\n",
       "   scite3  dbsource  INT_LOG  INT_IDEO INT_MISC INT_ANY  related  \n",
       "0     NaN      PGIS        0         0        0       0      NaN  \n",
       "1     NaN      PGIS        0         1        1       1      NaN  \n",
       "2     NaN      PGIS       -9        -9        1       1      NaN  \n",
       "3     NaN      PGIS       -9        -9        1       1      NaN  \n",
       "4     NaN      PGIS       -9        -9        1       1      NaN  \n",
       "\n",
       "[5 rows x 135 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8deb94c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df =  df[['Year','Month','Extended','Day','Country','State','Region','City','Latitude','Longitude','Location','AttackType','Killed','Wounded','Target','Summary','Group','Target_type','Weapon_type','Motive', 'Success']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0bfbff35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 181691 entries, 0 to 181690\n",
      "Data columns (total 21 columns):\n",
      " #   Column       Non-Null Count   Dtype  \n",
      "---  ------       --------------   -----  \n",
      " 0   Year         181691 non-null  int64  \n",
      " 1   Month        181691 non-null  int64  \n",
      " 2   Extended     181691 non-null  int64  \n",
      " 3   Day          181691 non-null  int64  \n",
      " 4   Country      181691 non-null  object \n",
      " 5   State        181270 non-null  object \n",
      " 6   Region       181691 non-null  object \n",
      " 7   City         181257 non-null  object \n",
      " 8   Latitude     177135 non-null  float64\n",
      " 9   Longitude    177134 non-null  float64\n",
      " 10  Location     55495 non-null   object \n",
      " 11  AttackType   181691 non-null  object \n",
      " 12  Killed       171378 non-null  float64\n",
      " 13  Wounded      165380 non-null  float64\n",
      " 14  Target       181055 non-null  object \n",
      " 15  Summary      115562 non-null  object \n",
      " 16  Group        181691 non-null  object \n",
      " 17  Target_type  181691 non-null  object \n",
      " 18  Weapon_type  181691 non-null  object \n",
      " 19  Motive       50561 non-null   object \n",
      " 20  Success      181691 non-null  int64  \n",
      "dtypes: float64(4), int64(5), object(12)\n",
      "memory usage: 29.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "87fd8be7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                0\n",
       "Month               0\n",
       "Extended            0\n",
       "Day                 0\n",
       "Country             0\n",
       "State             421\n",
       "Region              0\n",
       "City              434\n",
       "Latitude         4556\n",
       "Longitude        4557\n",
       "Location       126196\n",
       "AttackType          0\n",
       "Killed          10313\n",
       "Wounded         16311\n",
       "Target            636\n",
       "Summary         66129\n",
       "Group               0\n",
       "Target_type         0\n",
       "Weapon_type         0\n",
       "Motive         131130\n",
       "Success             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "75796b7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1['City'].value_counts().to_frame().drop('Unknown').sort_values('City',axis=0,ascending=False).head(10).plot(kind='bar',figsize=(20,10),color='green')\n",
    "plt.xticks(rotation = 50)\n",
    "plt.xlabel(\"City\",fontsize=15)\n",
    "plt.ylabel(\"Number of attacks\",fontsize=15)\n",
    "plt.title(\"Top 10 most affected cities\",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8884bd67",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(20,10))\n",
    "sns.barplot(df1['Country'].value_counts()[:10].index,df1['Country'].value_counts()[:10].values,palette='rocket')\n",
    "plt.title('Top 10 most affected countries', fontsize = 20)\n",
    "plt.xlabel('Country', fontsize = 15)\n",
    "plt.ylabel('Number of attacks', fontsize = 15)\n",
    "plt.xticks(rotation = 50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "dd198c6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1['Region'].value_counts().to_frame().sort_values('Region',axis=0,ascending=False).head(10).plot(kind='bar',figsize=(20,10),color='green')\n",
    "plt.xticks(rotation = 50)\n",
    "plt.xlabel(\"Region\",fontsize=15)\n",
    "plt.ylabel(\"Number of attacks\",fontsize=15)\n",
    "plt.title(\"Top 10 most affected regions\",fontsize=20)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "413a9be5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1[['Group','Killed']].groupby(['Group'],axis=0).sum().drop('Unknown').sort_values('Killed',ascending=False).head(10).plot(kind='bar',color='green',figsize=(20,10))\n",
    "plt.title(\"Top 10 terrorist attack groups\",fontsize=20)\n",
    "plt.xlabel(\"Terrorist group\",fontsize=20)\n",
    "plt.ylabel(\"Number of attacks\",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b83b7007",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Asus\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(20,10))\n",
    "sns.countplot(df1[\"Target_type\"],order=df1['Target_type'].value_counts().index,palette=\"rocket\");\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Target type\",fontsize=15)\n",
    "plt.ylabel(\"Number of attacks\",fontsize=15)\n",
    "plt.title(\"Most attacked target types\",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cec5ac93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1['AttackType'].value_counts().plot(kind='bar',figsize=(20,10),color='green')\n",
    "plt.xticks(rotation = 50)\n",
    "plt.xlabel(\"Attack Type\",fontsize=15)\n",
    "plt.ylabel(\"Number of attacks\",fontsize=15)\n",
    "plt.title(\"Most used attack types\",fontsize=20)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea64b5e0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}