Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c4bfa03",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import stats\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras.layers.experimental import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.metrics import precision_score\n",
    "from sklearn.metrics import recall_score\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import plot_precision_recall_curve\n",
    "from sklearn.metrics import plot_roc_curve\n",
    "from sklearn.metrics import plot_confusion_matrix\n",
    "from sklearn.metrics import plot_precision_recall_curve\n",
    "from sklearn.metrics import plot_roc_curve\n",
    "from sklearn.metrics import plot_confusion_matrix\n",
    "from sklearn.metrics import plot_precision_recall_curve\n",
    "from sklearn.metrics import plot_roc_curve\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "95c103fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Entity</th>\n",
       "      <th>Year</th>\n",
       "      <th>Records</th>\n",
       "      <th>Organization type</th>\n",
       "      <th>Method</th>\n",
       "      <th>Sources</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>21st Century Oncology</td>\n",
       "      <td>2016</td>\n",
       "      <td>2200000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[5][6]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>500px</td>\n",
       "      <td>2020</td>\n",
       "      <td>14870304</td>\n",
       "      <td>social networking</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[7]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Accendo Insurance Co.</td>\n",
       "      <td>2020</td>\n",
       "      <td>175350</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[8][9]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Adobe Systems Incorporated</td>\n",
       "      <td>2013</td>\n",
       "      <td>152000000</td>\n",
       "      <td>tech</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Adobe Inc.</td>\n",
       "      <td>2019</td>\n",
       "      <td>7500000</td>\n",
       "      <td>tech</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[11][12]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                      Entity  Year    Records  Organization type  \\\n",
       "0           0       21st Century Oncology  2016    2200000         healthcare   \n",
       "1           1                       500px  2020   14870304  social networking   \n",
       "2           2       Accendo Insurance Co.  2020     175350         healthcare   \n",
       "3           3  Adobe Systems Incorporated  2013  152000000               tech   \n",
       "4           4                  Adobe Inc.  2019    7500000               tech   \n",
       "\n",
       "          Method   Sources  \n",
       "0         hacked    [5][6]  \n",
       "1         hacked       [7]  \n",
       "2  poor security    [8][9]  \n",
       "3         hacked      [10]  \n",
       "4  poor security  [11][12]  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('df_1.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a46369d",
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>352.0</td>\n",
       "      <td>175.5</td>\n",
       "      <td>101.757883</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87.75</td>\n",
       "      <td>175.5</td>\n",
       "      <td>263.25</td>\n",
       "      <td>351.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count   mean         std  min    25%    50%     75%    max\n",
       "Unnamed: 0  352.0  175.5  101.757883  0.0  87.75  175.5  263.25  351.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dda9d5b3",
   "metadata": {},
   "source": [
    "1. determine which method of attack finds the data more frequently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e7ef1bb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Method'].value_counts().plot(kind='bar',color='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a98dc92e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2011 34\n",
      "2020 31\n",
      "2019 30\n",
      "2015 28\n",
      "2013 28\n",
      "2018 26\n",
      "2014 25\n",
      "2012 23\n",
      "2016 22\n",
      "2010 19\n",
      "2008 16\n",
      "2021 13\n",
      "2009 13\n",
      "2007 12\n",
      "2017 9\n",
      "2006 7\n",
      "2005 6\n",
      "2022 5\n",
      "2004 2\n",
      "2019-2020 1\n",
      "2018-2019 1\n",
      "2014 and 2015 1\n"
     ]
    }
   ],
   "source": [
    "for i in df['Year'].value_counts().index:\n",
    "    print(i,df['Year'].value_counts()[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7076c146",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_year(df):\n",
    "    plt.figure(figsize=(10,5),dpi=200,facecolor='w',edgecolor='k')\n",
    "    plt.rcParams['font.size']=6\n",
    "    plt.subplot(2,3,1)\n",
    "    plt.title(\"Year\")\n",
    "    sns.countplot(df['Year'])\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.subplot(2,3,2)\n",
    "    plt.title(\"Year\")\n",
    "    sns.histplot(df['Year'])\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.show()\n",
    "    \n",
    " \n",
    "\n",
    "plot_year(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e5affa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Organization type'].value_counts().plot(kind='bar',figsize=(18,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4ddefd26",
   "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>Unnamed: 0</th>\n",
       "      <th>Entity</th>\n",
       "      <th>Year</th>\n",
       "      <th>Records</th>\n",
       "      <th>Organization_type</th>\n",
       "      <th>Method</th>\n",
       "      <th>Sources</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>21st Century Oncology</td>\n",
       "      <td>2016</td>\n",
       "      <td>2200000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[5][6]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>500px</td>\n",
       "      <td>2020</td>\n",
       "      <td>14870304</td>\n",
       "      <td>social networking</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[7]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Accendo Insurance Co.</td>\n",
       "      <td>2020</td>\n",
       "      <td>175350</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[8][9]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Adobe Systems Incorporated</td>\n",
       "      <td>2013</td>\n",
       "      <td>152000000</td>\n",
       "      <td>tech</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Adobe Inc.</td>\n",
       "      <td>2019</td>\n",
       "      <td>7500000</td>\n",
       "      <td>tech</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[11][12]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>347</td>\n",
       "      <td>Zynga</td>\n",
       "      <td>2019</td>\n",
       "      <td>173000000</td>\n",
       "      <td>social network</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[406][407]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>348</td>\n",
       "      <td>Unknown agency(believed to be tied to United S...</td>\n",
       "      <td>2020</td>\n",
       "      <td>200000000</td>\n",
       "      <td>financial</td>\n",
       "      <td>accidentally published</td>\n",
       "      <td>[408]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>349</td>\n",
       "      <td>National Health Information Center (NCZI) of S...</td>\n",
       "      <td>2020</td>\n",
       "      <td>391250</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[409]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>350</td>\n",
       "      <td>50 companies and government institutions</td>\n",
       "      <td>2022</td>\n",
       "      <td>6400000</td>\n",
       "      <td>various</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[410] [411]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>351</td>\n",
       "      <td>IKEA</td>\n",
       "      <td>2022</td>\n",
       "      <td>95000</td>\n",
       "      <td>retail</td>\n",
       "      <td>accidentally published</td>\n",
       "      <td>[412]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>352 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0                                             Entity  Year  \\\n",
       "0             0                              21st Century Oncology  2016   \n",
       "1             1                                              500px  2020   \n",
       "2             2                              Accendo Insurance Co.  2020   \n",
       "3             3                         Adobe Systems Incorporated  2013   \n",
       "4             4                                         Adobe Inc.  2019   \n",
       "..          ...                                                ...   ...   \n",
       "347         347                                              Zynga  2019   \n",
       "348         348  Unknown agency(believed to be tied to United S...  2020   \n",
       "349         349  National Health Information Center (NCZI) of S...  2020   \n",
       "350         350           50 companies and government institutions  2022   \n",
       "351         351                                               IKEA  2022   \n",
       "\n",
       "       Records  Organization_type                  Method      Sources  \n",
       "0      2200000         healthcare                  hacked       [5][6]  \n",
       "1     14870304  social networking                  hacked          [7]  \n",
       "2       175350         healthcare           poor security       [8][9]  \n",
       "3    152000000               tech                  hacked         [10]  \n",
       "4      7500000               tech           poor security     [11][12]  \n",
       "..         ...                ...                     ...          ...  \n",
       "347  173000000     social network                  hacked   [406][407]  \n",
       "348  200000000          financial  accidentally published        [408]  \n",
       "349     391250         healthcare           poor security        [409]  \n",
       "350    6400000            various           poor security  [410] [411]  \n",
       "351      95000             retail  accidentally published        [412]  \n",
       "\n",
       "[352 rows x 7 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rename({'Organization type': 'Organization_type'}, axis=1, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "88cdf06f",
   "metadata": {},
   "outputs": [],
   "source": [
    "health_care_df=df.loc[(df.Organization_type == 'healthcare') & (df.Method == 'hacked')]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe4005fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Entity</th>\n",
       "      <th>Year</th>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>21st Century Oncology</td>\n",
       "      <td>2016</td>\n",
       "      <td>2200000</td>\n",
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       "      <td>hacked</td>\n",
       "      <td>[5][6]</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>Ankle &amp; Foot Center of Tampa Bay, Inc.</td>\n",
       "      <td>2021</td>\n",
       "      <td>156000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[25]</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Anthem Inc.</td>\n",
       "      <td>2015</td>\n",
       "      <td>80000000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[26][27]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>CareFirst BlueCross Blue Shield - Maryland</td>\n",
       "      <td>2015</td>\n",
       "      <td>1100000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[76]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>68</td>\n",
       "      <td>Community Health Systems</td>\n",
       "      <td>2014</td>\n",
       "      <td>4500000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[91]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>73</td>\n",
       "      <td>Centers for Medicare &amp; Medicaid Services</td>\n",
       "      <td>2018</td>\n",
       "      <td>75000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[94]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>107</td>\n",
       "      <td>Excellus BlueCross BlueShield</td>\n",
       "      <td>2015</td>\n",
       "      <td>10000000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[135]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>132</td>\n",
       "      <td>Grozio Chirurgija</td>\n",
       "      <td>2017</td>\n",
       "      <td>25000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[173][174][175]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>170</td>\n",
       "      <td>LifeLabs</td>\n",
       "      <td>2019</td>\n",
       "      <td>15000000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[225]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>181</td>\n",
       "      <td>Medical Informatics Engineering</td>\n",
       "      <td>2015</td>\n",
       "      <td>3900000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[237]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>200</td>\n",
       "      <td>NEC Networks, LLC</td>\n",
       "      <td>2021</td>\n",
       "      <td>1600000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[255]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>225</td>\n",
       "      <td>Premera</td>\n",
       "      <td>2015</td>\n",
       "      <td>11000000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[278]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>226</td>\n",
       "      <td>Puerto Rico Department of Health</td>\n",
       "      <td>2010</td>\n",
       "      <td>515000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[124]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>240</td>\n",
       "      <td>Seacoast Radiology, PA</td>\n",
       "      <td>2010</td>\n",
       "      <td>231400</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[124][293]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>256</td>\n",
       "      <td>Southern California Medical-Legal Consultants</td>\n",
       "      <td>2011</td>\n",
       "      <td>300000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[36]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>296</td>\n",
       "      <td>UCLA Medical Center, Santa Monica</td>\n",
       "      <td>2015</td>\n",
       "      <td>4500000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[353]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>320</td>\n",
       "      <td>Vastaamo</td>\n",
       "      <td>2020</td>\n",
       "      <td>130000</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[374]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>325</td>\n",
       "      <td>Virginia Prescription Monitoring Program</td>\n",
       "      <td>2009</td>\n",
       "      <td>531400</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[36]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0                                         Entity  Year  \\\n",
       "0             0                          21st Century Oncology  2016   \n",
       "14           14         Ankle & Foot Center of Tampa Bay, Inc.  2021   \n",
       "15           15                                    Anthem Inc.  2015   \n",
       "55           55     CareFirst BlueCross Blue Shield - Maryland  2015   \n",
       "68           68                       Community Health Systems  2014   \n",
       "73           73       Centers for Medicare & Medicaid Services  2018   \n",
       "107         107                  Excellus BlueCross BlueShield  2015   \n",
       "132         132                              Grozio Chirurgija  2017   \n",
       "170         170                                       LifeLabs  2019   \n",
       "181         181                Medical Informatics Engineering  2015   \n",
       "200         200                              NEC Networks, LLC  2021   \n",
       "225         225                                        Premera  2015   \n",
       "226         226               Puerto Rico Department of Health  2010   \n",
       "240         240                         Seacoast Radiology, PA  2010   \n",
       "256         256  Southern California Medical-Legal Consultants  2011   \n",
       "296         296              UCLA Medical Center, Santa Monica  2015   \n",
       "320         320                                       Vastaamo  2020   \n",
       "325         325       Virginia Prescription Monitoring Program  2009   \n",
       "\n",
       "      Records Organization_type  Method          Sources  \n",
       "0     2200000        healthcare  hacked           [5][6]  \n",
       "14     156000        healthcare  hacked             [25]  \n",
       "15   80000000        healthcare  hacked         [26][27]  \n",
       "55    1100000        healthcare  hacked             [76]  \n",
       "68    4500000        healthcare  hacked             [91]  \n",
       "73      75000        healthcare  hacked             [94]  \n",
       "107  10000000        healthcare  hacked            [135]  \n",
       "132     25000        healthcare  hacked  [173][174][175]  \n",
       "170  15000000        healthcare  hacked            [225]  \n",
       "181   3900000        healthcare  hacked            [237]  \n",
       "200   1600000        healthcare  hacked            [255]  \n",
       "225  11000000        healthcare  hacked            [278]  \n",
       "226    515000        healthcare  hacked            [124]  \n",
       "240    231400        healthcare  hacked       [124][293]  \n",
       "256    300000        healthcare  hacked             [36]  \n",
       "296   4500000        healthcare  hacked            [353]  \n",
       "320    130000        healthcare  hacked            [374]  \n",
       "325    531400        healthcare  hacked             [36]  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "health_care_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "71aa61a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'Unnamed: 0': 'Id'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bd62f9e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=['Records'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bea6f5e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                   0\n",
       "Entity               0\n",
       "Year                 0\n",
       "Records              0\n",
       "Organization_type    0\n",
       "Method               1\n",
       "Sources              2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "240a9704",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'Unnamed: 0': 'Id'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4ddfcf91",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Accendo Insurance Co.</td>\n",
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       "      <td>healthcare</td>\n",
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       "      <td>[8][9]</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
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       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "      <td>[11][12]</td>\n",
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       "      <th>...</th>\n",
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       "      <th>347</th>\n",
       "      <td>347</td>\n",
       "      <td>Zynga</td>\n",
       "      <td>2019</td>\n",
       "      <td>173000000</td>\n",
       "      <td>social network</td>\n",
       "      <td>hacked</td>\n",
       "      <td>[406][407]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>348</td>\n",
       "      <td>Unknown agency(believed to be tied to United S...</td>\n",
       "      <td>2020</td>\n",
       "      <td>200000000</td>\n",
       "      <td>financial</td>\n",
       "      <td>accidentally published</td>\n",
       "      <td>[408]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>349</td>\n",
       "      <td>National Health Information Center (NCZI) of S...</td>\n",
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       "      <td>391250</td>\n",
       "      <td>healthcare</td>\n",
       "      <td>poor security</td>\n",
       "      <td>[409]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>350</td>\n",
       "      <td>50 companies and government institutions</td>\n",
       "      <td>2022</td>\n",
       "      <td>6400000</td>\n",
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       "      <td>poor security</td>\n",
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       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>351</td>\n",
       "      <td>IKEA</td>\n",
       "      <td>2022</td>\n",
       "      <td>95000</td>\n",
       "      <td>retail</td>\n",
       "      <td>accidentally published</td>\n",
       "      <td>[412]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>350 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Id                                             Entity  Year    Records  \\\n",
       "0      0                              21st Century Oncology  2016    2200000   \n",
       "1      1                                              500px  2020   14870304   \n",
       "2      2                              Accendo Insurance Co.  2020     175350   \n",
       "3      3                         Adobe Systems Incorporated  2013  152000000   \n",
       "4      4                                         Adobe Inc.  2019    7500000   \n",
       "..   ...                                                ...   ...        ...   \n",
       "347  347                                              Zynga  2019  173000000   \n",
       "348  348  Unknown agency(believed to be tied to United S...  2020  200000000   \n",
       "349  349  National Health Information Center (NCZI) of S...  2020     391250   \n",
       "350  350           50 companies and government institutions  2022    6400000   \n",
       "351  351                                               IKEA  2022      95000   \n",
       "\n",
       "     Organization_type                  Method      Sources  \n",
       "0           healthcare                  hacked       [5][6]  \n",
       "1    social networking                  hacked          [7]  \n",
       "2           healthcare           poor security       [8][9]  \n",
       "3                 tech                  hacked         [10]  \n",
       "4                 tech           poor security     [11][12]  \n",
       "..                 ...                     ...          ...  \n",
       "347     social network                  hacked   [406][407]  \n",
       "348          financial  accidentally published        [408]  \n",
       "349         healthcare           poor security        [409]  \n",
       "350            various           poor security  [410] [411]  \n",
       "351             retail  accidentally published        [412]  \n",
       "\n",
       "[350 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2c22d584",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=['Records'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0383d818",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bbd9a8d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Year'] = df['Year'].astype(str)\n",
    "df['Year'] = df['Year'].str[:4]\n",
    "df['Year'] = df['Year'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2bfd1122",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 350 entries, 0 to 349\n",
      "Data columns (total 7 columns):\n",
      " #   Column             Non-Null Count  Dtype \n",
      "---  ------             --------------  ----- \n",
      " 0   Id                 350 non-null    int64 \n",
      " 1   Entity             350 non-null    object\n",
      " 2   Year               350 non-null    int32 \n",
      " 3   Records            350 non-null    object\n",
      " 4   Organization_type  350 non-null    object\n",
      " 5   Method             349 non-null    object\n",
      " 6   Sources            348 non-null    object\n",
      "dtypes: int32(1), int64(1), object(5)\n",
      "memory usage: 17.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2d426c89",
   "metadata": {},
   "outputs": [],
   "source": [
    "le = LabelEncoder()\n",
    "\n",
    "df['Entity'] = le.fit_transform(df['Entity'])\n",
    "df['Organization_type'] = le.fit_transform(df['Organization_type'])\n",
    "df['Method'] = le.fit_transform(df['Method'])\n",
    "df['Sources'] = le.fit_transform(df['Sources'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8e491183",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 350 entries, 0 to 349\n",
      "Data columns (total 7 columns):\n",
      " #   Column             Non-Null Count  Dtype \n",
      "---  ------             --------------  ----- \n",
      " 0   Id                 350 non-null    int64 \n",
      " 1   Entity             350 non-null    int64 \n",
      " 2   Year               350 non-null    int32 \n",
      " 3   Records            350 non-null    object\n",
      " 4   Organization_type  350 non-null    int32 \n",
      " 5   Method             350 non-null    int32 \n",
      " 6   Sources            350 non-null    int32 \n",
      "dtypes: int32(4), int64(2), object(1)\n",
      "memory usage: 13.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5c718e2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3f843eaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Records', ylabel='Year'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 4000x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8),dpi=200,facecolor='w',edgecolor='k')\n",
    "plt.rcParams['font.size'] = 10\n",
    "plt.xlabel('Records')\n",
    "plt.ylabel('Year')\n",
    "df.boxplot(figsize=(20,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "4f15579a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zrSfl755SzeWPzs/57+qdXddpzle375lLH52f52c4EQ/QKKdv1jf9movMq5Z5182v5daprRelXDdlfh6eUc2pm/bN6AFN+cIGvfOdhzqfELv15fn59F0z8s9X5mfiqy1pKZOzt+q3zAHk96zVIwcP7ZnJc6o57ZHZ+cFmK2aWZQA675hjWnME/+//VfPgg63r7p5YyxEc+bFK1lmnFvD9YwezEy/Nppsmu76zliO4/bYy3/tea47gkUfK3H5bmR/+qJI11ihyxJFFbr65XGwG4ykvlfnpT8tcc3WZ+W+4NvORR8pcd22Zb59cyaabFtl00yK77lrkuusW7/epp+rpt3bOp1qt7RcA6JqGXX46YcKEFEWRww47rN315RsuS9pggw1y3HHHZcaMGTnzzDMb0SKstDbYMNlsi9oH5Kv/Wi4SPn7dpReVmfRk7f+z/Q8u0tTFY0kHHVJ72WhpKfPLn7R+aXjda68mF5xTqzNgQJE99ll8BuL2rkJ8o0ceSu6+q7a8wagivXsvfZsddk522LnItFfKXHC2LwkAK8KIzZKNdqi9tt/4v+3P8vu3c5NnH629Du9xeFLp4iVv+xxd+9kyv8zv/6M1fPy6Ga9kYRC438AiO3fxphljD6z9rFbL3HpZ+2M22Kp1zBVntT/m2t8l018pFxkPwErk299Oxo2rhY8BeNPbYvXKwhmF/+eB+YuEj1931l3z8tDLtd8fs3nPNHfhaPqnt+qZJJlfLXPi9XMWho9f9/Ls5Du31hLHq/Yu8qHRPRbbx/Zrtx7I+/XEeYuEj1/3zPQyf3ygtqKpUmTrNRc9+DdmSCWbrFb73SWPzF8kfPy6edXkpBvmJEn69Cjy8c0X7wWAFWPbQU155+q1191zn5yzSPj4dT96ZHbue632+v35DXqnuQs3gPzbi/Pyqyfn5M5ptfDx8tC/OTlz81rg+Kv3zszLc+ubUAaAFW/kyGTM5rU3jL//rVwkfPy6iy8uM+mp2pvCew7oeo7gve9tzRGcdVY7OYLXkvPPa80R7LnX4m9k/31mmav+unj4+HVz5yZn/bx1xzvt3LW7IQ8blmy4UW3be+5Jpkzp0m4AgDQwgPzyyy8nSdZbb72Fv+vZs+fC5ZkzF7839x577JEk+dvf/raCu4OV2w5jWz9YX3tV+0eMyjL5x9WtH+g33bzzdXr3TsZsWVue8K/k5Q4+iN92U5kZC2ZH2bGLH/qTZE6bi/ebl3K+o0/f5OhP1l7SLji7zPTXljwegK7Zco/W5Zv/r/0xZdk6k3C/gUU22q7zdXr1TTbesbZ8/y3JKy+0P+7OvyezXqu952y1Z+frrDEiWX/L2nvVw+OTl59tf1zTgvehGa8ks2e0PyZJpkyq/Wzu2fEYAACg++27XuuVkq8Hd9+oTHLhQ7V1q/YustPQzp2J79uc7DKsts31T7fkuQ5mE77isfl5dU5t3bvWW/wKzh5tjuI/+WrHoa4np7Xuv+cbWt1yjdadXPNUx7cjfnxamcen1Wrsv37DbqAI8JZ3wNqtB5POmzSn3TFlkt8uWDe4ZyW7Dvn3eJ3+zui+WadPU657cV5+O2nu0jcAoGF23LH1XP3VV3ecI7j22tYcwWZjOl+nd+9k8y1qy3fdlbz0UvvjbrmlNUcwdmzXcgRPPZVMW/DdZ621urSL7LZba+1rrjGxGfDWVi0qb8kHy0/D/mu+HjZuGzpeZZVVFi4/88wzi23Te8GUp+2tA1qN3qz2AXnWrDKPPtzxuHvvbv3wPHrTzn+gH7lR0rNnbbv77u74g/j8+cnDD7Ru05WrJFcZmGy2ZW152itLDxQf9rEiq61e5N6JZa79my8JACvKqG1qP2fPLPPUvR2Pe3h86/LIbTpf521jkh69au85D43veFzLvNZZmNcb0/nZlnc8oHX51ks7Hjf5idrPfoOS3v06HjdkndrPF57oXB8AAEBj7bBgVuEZ88pMfLHjUO8tz7aGddvORFyPrdZsSu8F01Pe+mzHod951eRfL9TWb7lGZbGZlh+b1trfiFU6PqQ/YmDr8b7HXln0+Nig3q3rpsxc8rGz19evu0olw/p3fXIBAOq3y+DaQa3p88vc8UrH7xk3TGmdEnLnwd0/U/32qzbl2PV6ZU5Lmc9OXMJV+wB0i002bc0RPPJIx+Puuaf1O8Imozv/HWDUhq05gnvvWXKO4KEFszCPGtW1HEGSNC84F1TPnZfb845dW/+73HKzbAEALIuGBZDXXXfdJMkLL7ROX7fmmmtmwIABSZLbbrttsW3uvbeWaikKBzlhSYYtCDs9/2wWu5VJW89Mal0evm7n6wxft/X/xWcmLfmD+Ovrm5uLrD2svv0390jWWDPZc98i3/1RJQMG1OqNu2TJtTYcnez1riLz5pX55U/c2gtgRVpr/drPF59Kqh2fC8nzjy++TWes3WabtvtaUq2mHkXWHNG5Oju8p/Zzzswyd/y143HX/6n2s1Ipst8n2h/zzg8l/QfV3rtu+FPn+gAAABpr1Kq1Q+NPTKsu8Rb0j0xtPdY0clDnjlOPGtR6+L3tftqt80ptfY+mIusNXLTOdU+15KkFMx8fvXmP9Gnnwsu1+xU5dKNaEO2fz7fkgZcXrTezzSTPA3otue+261//7wTAirXxgFoC69EZLUt8X3pgeusBuY0HdO9rdHORnLVFvzQVRU5/ZHYenO78DMC/m+HDaz+fe27JOYKnn26zzTqdr7PO8NbvME8/veRz+6+vb24uMnRo52utt37Sr19RV632jBmTrLnmggtFbykze/ZSNgAAlqhh30y33nrrJMmdd965yO/f8Y53pCzLnHnmmZkzp/WWQtOmTcv3v//9FEWRTTbZpFFtwkqnR49k4IKTHy9NWfLYGdNrV/ElyWqrdz7YP2RI6/LSak15sc12q3c8btPNk4uubMpFVzblj5c15efnNeVTX6hk7aG1/v5xTTWXXNjxF4empuSTn6+kqanIpReVefqpep4JAF3R3DMZMLj2+jz1+SWPnflqbZbkJBnchVtgrdpmm1eWUqttL6t2otaobZMhCw6K3XV1Mmdmx2Pvuym58le157Pvx4sce0ay1Z7JiE2Tzd+ZfPQ/kg+cVBt722Vlbryo/j4AAIDG6tWUrNan9l3g2elLPmE9bW5tluQkGdq/c4fTh7aZPfjZGUuu07aPN9aZW00++/fZeXl2mfUGVvL3Q/vmsE2as91alYwd2pRjt+iRK9/fJ6v2LvLUq9V88drFz6C3DUCPXcJMzqv1KTKyTXDaDMgAK16vSrJ6r9pr79OzlhzifWVemenza+8Z6/Tp4rSRy8nxI3tnzMDmPDqjJd97aFa39gLA4nr0SAYuuLjxpZeWPHbGjNYcwZAhy5gjWEqtKW1yBm23q9chh7R+X7npxs4HkHfbrfX5XXut2Y8BYFl18ibVXbfHHnvkd7/7XcaNG5eTTjpp4e8/+clPZty4cbnzzjszZsyYHHjggZk5c2Yuu+yyPP300ymKIocffnij2oSVTp++rcuzZy39A/Kc2UmfPknv3p2v1XuRWkuvs3C7LtR64fkyv/xxNXfdseRxBx1aZMR6RV54rsyFv/cFAWBF6t2vdXlJYd3XzZ1Ze+/o1XfpY5dUa/ZSarXtpTO1djywdfmWi5c+/v9+lDxwW5n9Pp5svXeRrfdedP1T95W58tdl7riy/h4AAIDG69fmjvUz5y39eNLMeWX69SgW2a4e/XvWX2fm/Nb17dX55wvV7PPnmTl6TI8cNaZHvr/rogfcps8t84Pb5+S8e+fl5XZm8LrtuZa8PLvM4N5FPrBxj5xzz7w8Pm3xnk7YrmeaK60n5Pv3FEAGWNEGNLe+1k6fv/T3pRnzy/RvLtK/YWd5F7dBv0q+vlGfJMnnJ87MbJMfA/zb6dOndbmuHMGcrucI2taatZQcwezWeQk7XWvs2GTnnWvvm488XObmmzu3fc+eydidattPebHMxImd2x4AWFzDZkA+6KCDsu666+bpp5/Oo48+uvD3+++/f4466qiUZZlHHnkkP/zhD3PWWWfl6QX3eNh7773zqU99qlFtwkqnR5sTEvPnL338vAW3W+y5lFsttqdnm5MmS6s1r81tHXv26vhExSMPJl84tiVfOLYlX/lsS049pSXXXFXNkNWTz3ypkj326XjbtYcm7/tgbf2vf1bN3Ll1PQ0AuqhHm/eO+fM6HvfGMT26cLCquU2tlqXUattLzzpr9eiVbLMgQDz1+TIP3Lr0bVYZkow9MFlvi/bXDxuVbP/uZM316usBAADoHr2bWo83za0jMDV3wd3uezd3Lozbq22dlvpqJIv219b+6zdn//Wb07Od9f17FjlwZI/sMaL9NNrsluTMO+YuHHvRgX3yvg2bs2qvpEclGT24kh/v0Ssf3bRH5rS0hhN6d+/kmgBvCb3bXPhRx3UxmVMtF9uu0X66Rb/0aSry52fm5KrJdRwoBKDhOnNuP2k9v9+rCzmCHisgR/BGw4Ylnz+uFnGaM6fMGWd0/uqXsWOL9O1bq3ndP8qU5jcDSLUo3pIPlp+GXRs7aNCgPPHEE+2u+/Wvf52xY8fm17/+de69997Mnz8/o0aNyuGHH57jjjsulcqy56RfDzQv3drLXAuWl8GrJf36t79uxvTk5ZcW/YDeXMf/0a8HlufOWfK49rQN+C6tVttg9Nw5HX9ynzMnmfRk678feyS5/eYy119T5qRTKvn0FysZvFo1f25nduNjP19Jr15FbrmhzL/G1/ssAGjPoDWSvqu0v27mq8krk5N5bd47muuY+ev1MfPamX1raea3qdW0lFpte5lbZ60tdk/6DKh9sbjtsiz1INNa6yfH/SoZvHaR6VPL/PnUMhOvS159Kek3MNlkp+TA45Itdy8yapsyP/ts8shSZvEHAAC6x+w2AduedRx67rkghDu7jlkp22ob5O25lCBv2/Vt+0uSIsnP9+qVA0bWvvz8/v55+c098/Lw1GoqRbLZkEo+vWXP7LNec87cvXdGD56bU25Z/Er9X02cl/UHVXLEpj2yVr9KfrzH4ldwvjyrzK8mzs1Xd6ilDqbLlAGscLOrra/7Peo4D95rQfC47XaNdPg6PbPH6j0ybV41x99Tx23SAFjuBg9O+neQI5g+PXn55c6d209az+/P6UKOYN4KyBG0NXhw8v++XUnfvkWq1TI//nGZSZM63+c7d2t9o732GuljAFgeuvHmPIs6+uijc/TRR6+w/a+zzjp1jXvvPnVc+gUN8uEji+y2V/tnQa79WzU/Ob3MrDbHdnr3KZIs+YNyrwXnFWZ3IQw2e5FaSx7bq835i67UuvuuZNzFZQ4+tMghHyly8/VlnmlzHcHuexcZs2WRmTPKnHOWe3sBLKsDj0t2Orj9Mxw3/1+Z876ezJ7R+rtefZe+z54LxszpwnmItrV6L6VW217qrbXjga3Lt1669PFH/VctfDxnZpkffDR5/rHWda+9VAsxP3Br8vWLygwcUuSYH5T5xj71zRQNAAA01ow2n9P71pH0en3MjE5+vp/e5iR8bR8dH7fr22Z25TfWOXKzHgvDx6eNn5Mf/nPRAeOfr+ZjV87Ombv3yiEb9cgnt+yZm55pydVPLT7t8onXz8l1T83PJ7bomW3XrKTHgtmUZ84rc/lj8/PdW+dm//VbTxtMqzMQAEDXvdbmApf+dcy232/BmOndcEpzSM8ip25aOxj37Qdm5bnZ3icAusNhHy2yxx7t5wiuvrqa/z6zzKxZrb+rK0ewYObjrpzbb1urz1JyBL3bzLBcT63+/ZNvn1zJmmsuuDPyr8rccH3n339WXTXZYsEdLh96qEzdcxgCAEv0bxNABrpm3rxk2itlBg4qstqQJY/t1z/p06f2wfylFzv/ofylKa3Lqw1JHn2447FDVm9dnvJip0slScbfUubgQ5OmpiI77Fzkf//Y2vNBh9aex313J6M3a/+A3MCBrcs771obM2d2mX/e1rV+AN7q5s9NXnu5zIDBRVZda8lj+66S9F5wG6uXn+98rakvtC4PWit58t6Ox7btZWodtQasVpuxOEmevKfMc48uefzwjZIRC95rbr980fBxW9NeTK79XXLQccmqaxXZ9O1lJlyz9H4AAIDGmtOSvDSrzGp9igztv+Sg18CeSb8FAeRnp3fuIvjnZrQeyxrar8jEJRwja9vHG+t8aOPaYfzX5pb5yb86TkH/121zc8hGtaDyh0f3aDeAnCR/faIlf31iVno3Jav3LVItkxdmlpm/oOzo1VqDDA9NdeE/wIo2p5q8OKea1XtVMrzPkqfmH9SjWBhSnjSr/df5FemoEb0ypFclU+dW89LcMocO67nYmO1XbV5kefaCt5JrX5yXF+cKLAM0yrx5ybRpZQYOLLLaakse269fa45gypTOv1ZPeal1ebXVkkce6XjskDaZhilTOh6X1MLM/+/blYwYUevtt7+tZty4rr2X7LprkaYFF2Bee633IwBYXt4yAeRJdd5/4bhjVnAj0Ak/Ob3MT05f+gGkZyYlAwclaw1NKpWk2sF5gWFtJgJ/+qnO9zPpqdYP4sPWKZJbOv5gPmyd2of3+fPLPP9s52slyavTWpdXX3PRda/fmmXbHYtsu+PSZwT40om1g3aTXyjzz9ucOAF4o/O+npz39aUfcHn+sWTA4GT1dZNKU1Lt4G1qrfUW3aaz2oaC11ovmbCEsa/XaplXZnId7287vDtpWnCi5pZLlj5+rfVbl5+6f8ljn2oTlF5a3wAAQPd5eGo1q/VpytsGVtJUJC0dfB0auWprEOyRVzp3krpteHfkqpXkiY6P840cVKszr6XME9MWrfN6Dw9NrWbuEg5rPTejzOSZ1azRt7JI3x2Z3ZJMem3x57T9Wk1Jklnzy9z3kuNoAI3wwGstWb1XJRv0a1ri+9LG/ZvabNP41+heldoxtVV7VnL+Nv2XOv7Y9Xrn2AXH7va48dW8+JI70QIsD/99Zpn/PnPpOYKnn65N2rX22kvOEQwf3mab+qI1i5g0qfWNa/jwIrfd1vF3p+HDW3MEzz3X8T579ky+/o1KNtywNv5//7eaP/+p68Hhd+5W28+8eV2bQRngzaqlWHrmCpZk6UchV4BHHnkk3/rWt7LXXntlzJgxGTlyZB55wyVQ99xzT6644or84x//WC41hw8fXtcDVkb331v7gNynT5ENRnU8btMxrW8aD9zX+Q/VjzyUzFtwdfomYzp+A2puTkZt3LrN/C4eTxrc5urH2bM6HgdA4zzyr9rP3n2LrLtpx+NGbbf4Np3xxN2t7zkbbtfxuKYeyfoLbpn1xD1JSx23RN7xwNrP+fPK3D5u6ePbhqwrTR2PS5KmNpf3tTR+EhoAAKBOtz9f+8Der0eRzVfv+DD52KGtXwLGP9e5D/l3TW7JnAUJsh2Hdvxlokcl2XrN2voJL1Yz7w2hgNdDaM11nA9qXhAMm1/t2gn1TVerZMPBtf8ef318/sJZkQFYsW56uXYipX9zkW0Gdfye8fYhrQefbn65jgNhALyl3Xdfa45g5MiOx23W5o7D99/fhRzBw7Vgb5Js2sHdi5NajmDDjVq36ShH0NSUfPVrlYxZkEn4y1+qOe83XQ8Nr7dest56tX3d8c/ktde6vCsA4A0aOgNytVrNV7/61ZxxxhmpVqspy9oHhKIoMnfu3EXGTpo0Ke9+97vT3Nycxx9/PMOGDWtkq7BSuf3mMu/7YG15t72LPPzg4h++iyLZdY/ah+rpr5W5pwtTMs6eldx9V7L19snmW9UCwi+3c1uUHXYu0q9fsbC3rhr79tYvJ089sei6Tx2x9LMfJ3+/ks02r+3jfftKgQEsD3ddnez3idryTgcnT0xcfExRtIZ8Z0wr8+Dtna8zZ2bywK3JmHcko3dMBq2ZvPLC4uO22jPpM6BY2NvSDB2VrLNxbfw91yczXln6NlOebl0etU1y3e87Hts2eP3S0x2PAwAAuteVj8/P57eu3Tb+Axv3yJ2T5yw2pkjy/g1rt+F6ZU6Zm57t3PGlGfOSG59uyR4jmvP2YU1Zu1+R52YsfqzsXes3Z5VeC06sP774GfinXq1m9GpN2WhwJav0TF6du9iQJMlGgysZ3Lu2n/ZmNq7HV3fouXD5N/cKtgE0yqXPzc3XNuyTJDlinV65ferMxcYUSQ5bp1eSZOrcaq6b0vjZhP/jwVn5jweXPGPM4ev0zNlb12ZHPvpf03P+pA7euABY4W67tcwhh9SW99ijyEMPtZ8j2G3B7MDTp5e5++7O15k1K5kwIdl222SLLZLVVkteemnxcWPHtuYIbr21/e8slUpy/Jcr2Xbb2rhrr6nmrJ8v24zFrz+/JLnmGldZAsDy1NAZkI899tj88Ic/TEtLS4YOHZr3v//9HY7db7/9sv7666elpSUXXnhhA7uElc8jDyX33V370L3HPkU2HL34mAPeV2SdEbUP1uMuKdudlXG3vYpcdGVTLrqyKYce1v6ViZdcVPtA3txc5OOfqaTyhleRAaskHz2qNej89ysX/zKwyzuL9O275Oe009uL7P2u2n5mTC8z/ha3QQH4d/DE3cnD/6y9Ju/y3tbZh9va62PJ0A1qr+HX/DaptnMuZOxByS/uK/KL+4q8+zPt1/rbubWfTT2KfOibSfGG95x+g5L3Hl9bnjGtzI11fGQce1Dr8q2XLH18kky6P5n6fO05b7VXsvGO7Y9bZ3Tyjg/UlufMLPPAbfXtHwAAaLy7Jldz64JA8Yc2bs42ay5+qPyTW/ZYOBvw2RPnLTYb8KEbNefZT/XPs5/qn+O37bnY9kly1oRaiLdHU5Hvvr1XKm845Da4d/L1HWvbvjKnzO/vWzz0+7cna332bi7y7Z16tVunV1PyH7u09vC3Jxb/Ita/R7JK+20mSb62Q8/sOaI2Z8mFD87L7c85MQ/QKONfackNU2rvAR8b0Ss7rrr4HFJfHNk7mwyozY7848fmZP4bTpscvk7PzDtwcOYdODjf3KjPCu8ZgH9/Dz+c3Lvgbsp77lVko40WH3PQQUXWWbf2ReWyy9rPEey+e5FLLm3KJZc25YMfaj9HcPHFrTmCYz/ZTo5gQHL4Ea1B56uuav/8/2c+W2TnnWvjbr6pzH//97LlBCqV5O3vqO3v1VfL/POfy7Q7AOANGjYD8nXXXZezzz47RVHkpJNOysknn5ympqZU3vipo41DDjkkp556aq699tocd9xxjWoVVkrnnFXNd06vpFfvIt/6TiUX/bHMPRPK9OqZ7PzOInu/q/b/2jNPl7n0oq5/SL9nQnLjddXs8s5Kth9b5FvfreTyi6uZ+lKy7tuKvO9DRVZfs/YB/rfnlpkxffF97PWuIp/8fJHbbylz393Js0+XmTEj6d07GTq8yNi3F9lm+9o+qtUy55xVZno7+wGge/zxe8kJvy3Ts0+R435d5i+/TB68LenRO9nuXck7Dq29hj//eLkwRNwVD96W3D6uzPb7F9ly9yJf+HWZqy9Ipk1Ohm2Y7HdsstrQWq3/+1Ey89Ul76+oJNvvX1ue/kqZif+or4+yrO3/qFOTpuYin/tFmRv+lEy4Nnnt5aTfwGSTnZLdPpL06lvr58pfJbPcwgtg5bLzzlnkXpRDhrQujxyZHHHEouPPO68xfQGwwnzrpjm55KA+6dOjyP+8u0/++19zc/OzLendVOTAkc356Ka12Y8ffaWasyZ0bfbGm55pycUPz8tBo3pkn/Wa84f39M6vJ87L8zPKjB5cyee36ZnhA2rH7b5765xMa6fMLyfMzYc2bs7qfSv54OgeWW9QJeffOy+PTK2mqZJsNqSSo8f0yEaDa6G0h16u5k8PLh5AXn9QJf93YJ9c+uj8XPNUS558tZrmSrLRqpV8aHSPbLtWbfu7X2zJN25cfEZoAFasL90zM//YZZX0bS5yxU4D8l8Pzco/psxL76YiHxjWMx9/W+8kyYPTW/KjR5c8C3FH+jUl7xu66NUoG/RrPVf73qE989Lc1gtQJkxryYRX3WE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\n",
      "text/plain": [
       "<Figure size 4000x1600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8),dpi=200,facecolor='w',edgecolor='k')\n",
    "plt.rcParams['font.size'] = 10\n",
    "sns.heatmap(df.corr(), annot=True, cmap='rainbow')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "945ebb24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'Id'}>,\n",
       "        <AxesSubplot:title={'center':'Entity'}>],\n",
       "       [<AxesSubplot:title={'center':'Year'}>,\n",
       "        <AxesSubplot:title={'center':'Organization_type'}>],\n",
       "       [<AxesSubplot:title={'center':'Method'}>,\n",
       "        <AxesSubplot:title={'center':'Sources'}>]], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 4000x1600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8),dpi=200,facecolor='w',edgecolor='k')\n",
    "plt.rcParams['font.size'] = 10\n",
    "df.hist(figsize=(20,8))"
   ]
  }
 ],
 "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}