Sarita_Behera.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fa1140c5",
   "metadata": {},
   "source": [
    "\n",
    "# Loading Data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "0f61ded9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "df = pd.read_csv('loan.csv',low_memory = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcda05e6",
   "metadata": {},
   "source": [
    "# Data Information\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "83dbb094",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 39717 entries, 0 to 39716\n",
      "Columns: 111 entries, id to total_il_high_credit_limit\n",
      "dtypes: float64(74), int64(13), object(24)\n",
      "memory usage: 33.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df.shape\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b34fc7ff",
   "metadata": {},
   "source": [
    "# Missing Value Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "9c659b40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                              0.000000\n",
       "member_id                       0.000000\n",
       "loan_amnt                       0.000000\n",
       "funded_amnt                     0.000000\n",
       "funded_amnt_inv                 0.000000\n",
       "                                 ...    \n",
       "tax_liens                       0.098195\n",
       "tot_hi_cred_lim               100.000000\n",
       "total_bal_ex_mort             100.000000\n",
       "total_bc_limit                100.000000\n",
       "total_il_high_credit_limit    100.000000\n",
       "Length: 111, dtype: float64"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.isnull().mean())*100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45aa7d9f",
   "metadata": {},
   "source": [
    "# Cleansing Data: Dropping columns having more than or equal to 60% null value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "id": "81dc240b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 39717 entries, 0 to 39716\n",
      "Data columns (total 54 columns):\n",
      " #   Column                      Non-Null Count  Dtype  \n",
      "---  ------                      --------------  -----  \n",
      " 0   id                          39717 non-null  int64  \n",
      " 1   member_id                   39717 non-null  int64  \n",
      " 2   loan_amnt                   39717 non-null  int64  \n",
      " 3   funded_amnt                 39717 non-null  int64  \n",
      " 4   funded_amnt_inv             39717 non-null  float64\n",
      " 5   term                        39717 non-null  object \n",
      " 6   int_rate                    39717 non-null  object \n",
      " 7   installment                 39717 non-null  float64\n",
      " 8   grade                       39717 non-null  object \n",
      " 9   sub_grade                   39717 non-null  object \n",
      " 10  emp_title                   37258 non-null  object \n",
      " 11  emp_length                  38642 non-null  object \n",
      " 12  home_ownership              39717 non-null  object \n",
      " 13  annual_inc                  39717 non-null  float64\n",
      " 14  verification_status         39717 non-null  object \n",
      " 15  issue_d                     39717 non-null  object \n",
      " 16  loan_status                 39717 non-null  object \n",
      " 17  pymnt_plan                  39717 non-null  object \n",
      " 18  url                         39717 non-null  object \n",
      " 19  desc                        26777 non-null  object \n",
      " 20  purpose                     39717 non-null  object \n",
      " 21  title                       39706 non-null  object \n",
      " 22  zip_code                    39717 non-null  object \n",
      " 23  addr_state                  39717 non-null  object \n",
      " 24  dti                         39717 non-null  float64\n",
      " 25  delinq_2yrs                 39717 non-null  int64  \n",
      " 26  earliest_cr_line            39717 non-null  object \n",
      " 27  inq_last_6mths              39717 non-null  int64  \n",
      " 28  open_acc                    39717 non-null  int64  \n",
      " 29  pub_rec                     39717 non-null  int64  \n",
      " 30  revol_bal                   39717 non-null  int64  \n",
      " 31  revol_util                  39667 non-null  object \n",
      " 32  total_acc                   39717 non-null  int64  \n",
      " 33  initial_list_status         39717 non-null  object \n",
      " 34  out_prncp                   39717 non-null  float64\n",
      " 35  out_prncp_inv               39717 non-null  float64\n",
      " 36  total_pymnt                 39717 non-null  float64\n",
      " 37  total_pymnt_inv             39717 non-null  float64\n",
      " 38  total_rec_prncp             39717 non-null  float64\n",
      " 39  total_rec_int               39717 non-null  float64\n",
      " 40  total_rec_late_fee          39717 non-null  float64\n",
      " 41  recoveries                  39717 non-null  float64\n",
      " 42  collection_recovery_fee     39717 non-null  float64\n",
      " 43  last_pymnt_d                39646 non-null  object \n",
      " 44  last_pymnt_amnt             39717 non-null  float64\n",
      " 45  last_credit_pull_d          39715 non-null  object \n",
      " 46  collections_12_mths_ex_med  39661 non-null  float64\n",
      " 47  policy_code                 39717 non-null  int64  \n",
      " 48  application_type            39717 non-null  object \n",
      " 49  acc_now_delinq              39717 non-null  int64  \n",
      " 50  chargeoff_within_12_mths    39661 non-null  float64\n",
      " 51  delinq_amnt                 39717 non-null  int64  \n",
      " 52  pub_rec_bankruptcies        39020 non-null  float64\n",
      " 53  tax_liens                   39678 non-null  float64\n",
      "dtypes: float64(18), int64(13), object(23)\n",
      "memory usage: 16.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.dropna(thresh=df.shape[0]*0.6,axis=1,inplace=True)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d7cd8e6",
   "metadata": {},
   "source": [
    "# New Dataframe with cleansed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "id": "626dfe0c",
   "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>id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>funded_amnt</th>\n",
       "      <th>funded_amnt_inv</th>\n",
       "      <th>term</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>installment</th>\n",
       "      <th>grade</th>\n",
       "      <th>sub_grade</th>\n",
       "      <th>...</th>\n",
       "      <th>last_pymnt_amnt</th>\n",
       "      <th>last_credit_pull_d</th>\n",
       "      <th>collections_12_mths_ex_med</th>\n",
       "      <th>policy_code</th>\n",
       "      <th>application_type</th>\n",
       "      <th>acc_now_delinq</th>\n",
       "      <th>chargeoff_within_12_mths</th>\n",
       "      <th>delinq_amnt</th>\n",
       "      <th>pub_rec_bankruptcies</th>\n",
       "      <th>tax_liens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1077501</td>\n",
       "      <td>1296599</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>4975.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.65%</td>\n",
       "      <td>162.87</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>...</td>\n",
       "      <td>171.62</td>\n",
       "      <td>May-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1077430</td>\n",
       "      <td>1314167</td>\n",
       "      <td>2500</td>\n",
       "      <td>2500</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.27%</td>\n",
       "      <td>59.83</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>119.66</td>\n",
       "      <td>Sep-13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1077175</td>\n",
       "      <td>1313524</td>\n",
       "      <td>2400</td>\n",
       "      <td>2400</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.96%</td>\n",
       "      <td>84.33</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>...</td>\n",
       "      <td>649.91</td>\n",
       "      <td>May-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1076863</td>\n",
       "      <td>1277178</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.49%</td>\n",
       "      <td>339.31</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>357.48</td>\n",
       "      <td>Apr-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1075358</td>\n",
       "      <td>1311748</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.69%</td>\n",
       "      <td>67.79</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>67.79</td>\n",
       "      <td>May-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  member_id  loan_amnt  funded_amnt  funded_amnt_inv        term  \\\n",
       "0  1077501    1296599       5000         5000           4975.0   36 months   \n",
       "1  1077430    1314167       2500         2500           2500.0   60 months   \n",
       "2  1077175    1313524       2400         2400           2400.0   36 months   \n",
       "3  1076863    1277178      10000        10000          10000.0   36 months   \n",
       "4  1075358    1311748       3000         3000           3000.0   60 months   \n",
       "\n",
       "  int_rate  installment grade sub_grade  ... last_pymnt_amnt  \\\n",
       "0   10.65%       162.87     B        B2  ...          171.62   \n",
       "1   15.27%        59.83     C        C4  ...          119.66   \n",
       "2   15.96%        84.33     C        C5  ...          649.91   \n",
       "3   13.49%       339.31     C        C1  ...          357.48   \n",
       "4   12.69%        67.79     B        B5  ...           67.79   \n",
       "\n",
       "  last_credit_pull_d collections_12_mths_ex_med  policy_code application_type  \\\n",
       "0             May-16                        0.0            1       INDIVIDUAL   \n",
       "1             Sep-13                        0.0            1       INDIVIDUAL   \n",
       "2             May-16                        0.0            1       INDIVIDUAL   \n",
       "3             Apr-16                        0.0            1       INDIVIDUAL   \n",
       "4             May-16                        0.0            1       INDIVIDUAL   \n",
       "\n",
       "  acc_now_delinq chargeoff_within_12_mths delinq_amnt pub_rec_bankruptcies  \\\n",
       "0              0                      0.0           0                  0.0   \n",
       "1              0                      0.0           0                  0.0   \n",
       "2              0                      0.0           0                  0.0   \n",
       "3              0                      0.0           0                  0.0   \n",
       "4              0                      0.0           0                  0.0   \n",
       "\n",
       "  tax_liens  \n",
       "0       0.0  \n",
       "1       0.0  \n",
       "2       0.0  \n",
       "3       0.0  \n",
       "4       0.0  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7de532c6",
   "metadata": {},
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "id": "ade394a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                            39717\n",
       "member_id                     39717\n",
       "loan_amnt                       885\n",
       "funded_amnt                    1041\n",
       "funded_amnt_inv                8205\n",
       "term                              2\n",
       "int_rate                        371\n",
       "installment                   15383\n",
       "grade                             7\n",
       "sub_grade                        35\n",
       "emp_title                     28820\n",
       "emp_length                       11\n",
       "home_ownership                    5\n",
       "annual_inc                     5318\n",
       "verification_status               3\n",
       "issue_d                          55\n",
       "loan_status                       3\n",
       "pymnt_plan                        1\n",
       "url                           39717\n",
       "desc                          26527\n",
       "purpose                          14\n",
       "title                         19615\n",
       "zip_code                        823\n",
       "addr_state                       50\n",
       "dti                            2868\n",
       "delinq_2yrs                      11\n",
       "earliest_cr_line                526\n",
       "inq_last_6mths                    9\n",
       "open_acc                         40\n",
       "pub_rec                           5\n",
       "revol_bal                     21711\n",
       "revol_util                     1089\n",
       "total_acc                        82\n",
       "initial_list_status               1\n",
       "out_prncp                      1137\n",
       "out_prncp_inv                  1138\n",
       "total_pymnt                   37850\n",
       "total_pymnt_inv               37518\n",
       "total_rec_prncp                7976\n",
       "total_rec_int                 35148\n",
       "total_rec_late_fee             1356\n",
       "recoveries                     4040\n",
       "collection_recovery_fee        2616\n",
       "last_pymnt_d                    101\n",
       "last_pymnt_amnt               34930\n",
       "last_credit_pull_d              106\n",
       "collections_12_mths_ex_med        1\n",
       "policy_code                       1\n",
       "application_type                  1\n",
       "acc_now_delinq                    1\n",
       "chargeoff_within_12_mths          1\n",
       "delinq_amnt                       1\n",
       "pub_rec_bankruptcies              3\n",
       "tax_liens                         1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 345,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "id": "b7c78bb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_columns = ['addr_state','emp_length,','issue_d','purpose','verification_status','grade','sub_grade','loan_status'] #categorical columns\n",
    "num_columns = ['term','annual_inc','funded_amnt','int_rate','inq_last_6mths','delinq_2yrs'] # numeric columns\n",
    "extra_columns = ['total_rec_late_fee','recoveries'] # additional columns for analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79a84b6f",
   "metadata": {},
   "source": [
    "# Filtering the data based on the categorical and numeric columns identified"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "id": "e186d8a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>addr_state</th>\n",
       "      <th>emp_length</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>issue_d</th>\n",
       "      <th>purpose</th>\n",
       "      <th>verification_status</th>\n",
       "      <th>grade</th>\n",
       "      <th>sub_grade</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>term</th>\n",
       "      <th>funded_amnt</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>total_rec_late_fee</th>\n",
       "      <th>recoveries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GA</td>\n",
       "      <td>&lt; 1 year</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>car</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>60 months</td>\n",
       "      <td>2500</td>\n",
       "      <td>15.27%</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>117.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CA</td>\n",
       "      <td>4 years</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>small_business</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>F</td>\n",
       "      <td>F2</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>60 months</td>\n",
       "      <td>5600</td>\n",
       "      <td>21.28%</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>TX</td>\n",
       "      <td>&lt; 1 year</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>other</td>\n",
       "      <td>Verified</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>60 months</td>\n",
       "      <td>5375</td>\n",
       "      <td>12.69%</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>269.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>VA</td>\n",
       "      <td>&lt; 1 year</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>debt_consolidation</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9000</td>\n",
       "      <td>13.49%</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>444.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CA</td>\n",
       "      <td>3 years</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>other</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10000</td>\n",
       "      <td>10.65%</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>645.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   addr_state emp_length  annual_inc issue_d             purpose  \\\n",
       "1          GA   < 1 year     30000.0  Dec-11                 car   \n",
       "8          CA    4 years     40000.0  Dec-11      small_business   \n",
       "9          TX   < 1 year     15000.0  Dec-11               other   \n",
       "12         VA   < 1 year     30000.0  Dec-11  debt_consolidation   \n",
       "14         CA    3 years    100000.0  Dec-11               other   \n",
       "\n",
       "   verification_status grade sub_grade  loan_status        term  funded_amnt  \\\n",
       "1      Source Verified     C        C4  Charged Off   60 months         2500   \n",
       "8      Source Verified     F        F2  Charged Off   60 months         5600   \n",
       "9             Verified     B        B5  Charged Off   60 months         5375   \n",
       "12     Source Verified     C        C1  Charged Off   36 months         9000   \n",
       "14     Source Verified     B        B2  Charged Off   36 months        10000   \n",
       "\n",
       "   int_rate  inq_last_6mths  delinq_2yrs  total_rec_late_fee  recoveries  \n",
       "1    15.27%               5            0                 0.0      117.08  \n",
       "8    21.28%               2            0                 0.0      189.06  \n",
       "9    12.69%               0            0                 0.0      269.29  \n",
       "12   13.49%               1            0                 0.0      444.30  \n",
       "14   10.65%               2            0                 0.0      645.10  "
      ]
     },
     "execution_count": 347,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[['addr_state','emp_length','annual_inc','issue_d','purpose','verification_status','grade','sub_grade','loan_status','term','funded_amnt','int_rate','inq_last_6mths','delinq_2yrs','total_rec_late_fee','recoveries']]\n",
    "df = df[df.loan_status == 'Charged Off']\n",
    "df.shape\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57d3fa27",
   "metadata": {},
   "source": [
    "# Checking Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "id": "1bb8d836",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df['funded_amnt'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "9db70327",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(df['delinq_2yrs'])\n",
    "plt.show()\n",
    "# As we see,using delinq_2yrs column,most of the data is outlier but we cannot remove them because it will help us identifying the probable defaulters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "372c1d8f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5bcdf049",
   "metadata": {},
   "source": [
    "# Univariate Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64c529cd",
   "metadata": {},
   "source": [
    "# Univariate Analysis on numerical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "id": "08aaed45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UVKTi4mLt3LlTpaWluu+++3xdIwAAgNe8GtlZt26dNmzYoL59+7rX9evXT88//zwTlAEAQFDxamSnvr5eISEhjdaHhISovr6+xUUBAAD4ildh56qrrtK0adP07bffutd98803uv/++zVy5EifFQcAANBSXoWdxYsXq6ysTD169FCvXr10/vnnKyUlRWVlZcrKyvJ1jQAAAF7zas5OcnKyPvvsM+Xk5OiLL76QMUb9+vXTqFGjfF0fAABAizRrZOf9999Xv379VFpaKkkaPXq0pk6dqvvuu0+XXHKJLrzwQm3atKlVCgUAAPBGs8LOokWL9Jvf/EbR0dGNtsXExOiuu+7SggULfFYcAABASzUr7Pztb3/TNddcc9Lt6enpys/Pb3FRAAAAvtKssPPdd981ecl5A6fTqe+//77FRQEAAPhKs8LOueeeqx07dpx0++eff66uXbu2uCgAAABfaVbYufbaa/Xwww/rxx9/bLStsrJSjzzyiMaOHeuz4gAAAFqqWZeeP/jgg1qzZo169+6te++9V3369JHD4dCePXv0/PPPq66uTnPmzGmtWgEAAJqtWWEnISFBW7Zs0W9/+1vNnj1bxhhJksPh0NVXX60lS5YoISGhVQoFAADwRrNvKti9e3e9++67Ki4u1pdffiljjFJTU9WlS5fWqA8AAKBFvLqDsiR16dJFl1xyiS9rAQAA8Dmvno0FAADQVgQ07MyfP1+XXHKJoqKidM455+jGG2/U3//+d482xhhlZmYqKSlJERERGjFihHbt2uXRpqqqSlOnTlV8fLwiIyM1btw4HT582J+HAgAAglRAw05ubq7uueceffrpp8rJyVFtba3S09NVUVHhbvPkk09qwYIFWrx4sfLy8pSYmKjRo0errKzM3SYjI0Nr165Vdna2Nm/erPLyco0dO1Z1dXWBOCwAABBEvJ6z4wvr1q3zeL18+XKdc845ys/P189//nMZY7Ro0SLNmTNHN910kyTp5ZdfVkJCglavXq277rpLJSUlWrZsmV599VX3U9dXrlyp5ORkbdiwQVdffbXfjwsAAASPoJqzU1JSIkmKjY2VJO3fv18FBQVKT093twkLC9Pw4cO1ZcsWSVJ+fr5qamo82iQlJSktLc3d5kRVVVUqLS31WNoqY4xcLpcKCwvdtwIAAAD/FDRhxxij6dOn6/LLL1daWpokqaCgQJIa3bsnISHBva2goEChoaGNLn0/vs2J5s+fr5iYGPeSnJzs68Pxm5rKck1dlaeJSzbI5XIFuhwAAIJO0ISde++9V59//rlee+21RtscDofHa2NMo3UnOlWb2bNnq6SkxL0cOnTI+8KDQGhktMI6xwS6DAAAglJQhJ2pU6fqrbfe0gcffKBu3bq51ycmJkpSoxGao0ePukd7EhMTVV1dreLi4pO2OVFYWJiio6M9FgAAYKeAhh1jjO69916tWbNG77//vlJSUjy2p6SkKDExUTk5Oe511dXVys3N1bBhwyRJgwYNUkhIiEebI0eOaOfOne42AACg/Qro1Vj33HOPVq9erf/5n/9RVFSUewQnJiZGERERcjgcysjI0Lx585SamqrU1FTNmzdPnTp10oQJE9xtJ0+erBkzZiguLk6xsbGaOXOmLrroIvfVWQAAoP0KaNh54YUXJEkjRozwWL98+XLdfvvtkqRZs2apsrJSU6ZMUXFxsYYMGaL169crKirK3X7hwoVyOp26+eabVVlZqZEjR2rFihXq2LGjvw4FAAAEqYCGnTO5VNrhcCgzM1OZmZknbRMeHq6srCxlZWX5sDoAAGCDgIYdnLmG++kAAIDmIey0EdUVpZq6Kk/1VcdUW8tjMAAAOFNBcel5e9UwWnOmIzahkdEKjWz6MvmGfXEXZQAAPDGyE0A1x8p8NlpTXVGqu5Zu1B9nxyk+Pt5HFQIA0PYxshNgpxqtafa+OkWdvhEAAO0MYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgNcIOAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGrOQBcA3zHGyOVySZLi4uLkcDgCXBEAAIHHyI5FairLNXVVniYu2eAOPQAAtHeM7FgmNDJaISEhgS4DAICgwcgOAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNWcgS4ArcMYo8LCQklSXFycHA5HgCsCACAwCDt+ZoyRy+WSy+Vq1c8pKirS/a9vkyS9MmWU4uPjW/XzAAAIVoQdP3O5XJq4ZIOqK0pVW1vXqp8V1jmmVfcPAEBbwJydAAjrHKPQyOhAlwEAQLtA2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAVuNxEe0ADwUFALRnhJ12gIeCAgDaM8JOO8FDQQEA7VVA5+x89NFHuv7665WUlCSHw6E333zTY7sxRpmZmUpKSlJERIRGjBihXbt2ebSpqqrS1KlTFR8fr8jISI0bN06HDx/241EAAIBgFtCwU1FRoQEDBmjx4sVNbn/yySe1YMECLV68WHl5eUpMTNTo0aNVVlbmbpORkaG1a9cqOztbmzdvVnl5ucaOHau6ujp/HQYAAAhiAT2NNWbMGI0ZM6bJbcYYLVq0SHPmzNFNN90kSXr55ZeVkJCg1atX66677lJJSYmWLVumV199VaNGjZIkrVy5UsnJydqwYYOuvvpqvx0LAAAITkF76fn+/ftVUFCg9PR097qwsDANHz5cW7ZskSTl5+erpqbGo01SUpLS0tLcbZpSVVWl0tJSjwUAANgpaMNOQUGBJCkhIcFjfUJCgntbQUGBQkND1aVLl5O2acr8+fMVExPjXpKTk31cPQAACBZBG3YanHhPGGPMae8Tc7o2s2fPVklJiXs5dOiQT2oFAADBJ2jDTmJioiQ1GqE5evSoe7QnMTFR1dXVKi4uPmmbpoSFhSk6OtpjAQAAdgrasJOSkqLExETl5OS411VXVys3N1fDhg2TJA0aNEghISEebY4cOaKdO3e62wAAgPYtoFdjlZeX68svv3S/3r9/v7Zv367Y2Fidd955ysjI0Lx585SamqrU1FTNmzdPnTp10oQJEyRJMTExmjx5smbMmKG4uDjFxsZq5syZuuiii9xXZwEAgPYtoGFn69atuvLKK92vp0+fLkmaNGmSVqxYoVmzZqmyslJTpkxRcXGxhgwZovXr1ysqKsr9noULF8rpdOrmm29WZWWlRo4cqRUrVqhjx45+Px4AABB8Ahp2RowYIWPMSbc7HA5lZmYqMzPzpG3Cw8OVlZWlrKysVqgQAAC0dUE7ZwcAAMAXCDsAAMBqhB0AAGA1wo7ljDGN7kMEAEB7QtixXHVFqWa88pFqamoCXQoAAAFB2PEjY4xcLpffPzckorPfPxMAgGBB2PEjl8ul3yz+M6MsAAD4EWHHz0I7RQa6BAAA2hXCDgAAsBphBwAAWI2wAwAArEbYsRD31gEA4J8IOxbi3joAAPxTQJ96jtbTnHvrHH//n7i4ODkcjtYqCwAAv2NkB3K5XJq4ZIMmLtkQkJseAgDQmhjZgSQprHNMoEsAAKBVMLLTDhljVFhYKGNMoEsBAKDVEXbaIZfLpVueWsMpKwBAu0DYaadCI6MCXQIAAH5B2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArMazsfyg4ani3LEYAAD/I+z4QcNTxasrSlVbWxfocgAAaFc4jeUnYZ1jFBoZHegyAABodwg7AADAaoQdAABgNcIOAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDtwa3ishTEm0KUAAOAzhB24VVeU6q6lG3mGFwDAKoQdeAjtFBXoEgAA8CkeBNqONJymAgCgPSHstCPVFaWauipP9VXH1CE0ItDlAADgF4SddiY0Mlr1Tqdqa2oCXQoAAH7BnB0AAGA1RnbaqePn7zTnUvOG98XFxcnhcLRWeQAA+AwjO+1UTWW5pq7K08QlG1RUVORe3xBmCgsLmwxBLpdLtzy1honOAIA2g5Gddiw0MlohISEe6xpCkNPp1CtTRik+Pr6J93F5OgCg7SDsoJGmQhAAAG0Vp7EAAIDVCDtoEs/JAgDYgrCDJlVXlOr//N8N2rt370knKwMA0BYQdto5Y4yKi4ub3OZwONxXbHH1FQCgrSLstHPVFaWa8cpHqjnJHZVDI6MV1jmmyW3GGBUWFjLyAwAIaoQdKCSis1fvc7lcmrhkAyM/AICgxqXnaJGTjfoAABAsGNkBAABWI+yg1TTM6WE+DwAgkAg7aDU8RwsAEAwIO2hVPEcLABBohB0AAGA1wg78jrk8AAB/IuzgtHz9nCzm8gAA/Imwg9OqrijVXUs3usNJQ/hpSVhhLg8AwF+4qSDOSGinf4aTmmNlmroqT/VVxxQemyin0ymXy6W4uDg5HA6PMNTwZ0nu7QAA+BNhB2fk+NAi/fTMrHrnT1+fhpGfP86OU3x8vPsxEtUVpaqtrdXUVXlyOp16ZcooxcfHB+oQAADtFGGnFfnidE+wqKksd4/m1NbWNdp+/MiP9M/HSNSWFCk0MlohISF+qRMAgBNZM2dnyZIlSklJUXh4uAYNGqRNmzYFuiT3CMc9f8g96VPF25LQyGiFRkY3ua0h2PnqKqumnqh+4lVcPHUdAHAmrAg7r7/+ujIyMjRnzhxt27ZNV1xxhcaMGaODBw8GujSFdY45aUCwScPIz8QlG1RUVNRoe0Mw+f777z3m8jQVVIwx2rt3b6MnqrtcLo1/8k/au3evO+T46qnrBCcAsJcVp7EWLFigyZMn684775QkLVq0SO+9955eeOEFzZ8/P8DVtR+hkdFyOp0qLi5utK26olSTn3tLkfFJ//9UmOdcnri4OBUWFkqSioqK9JvFf1Z0t/M9Jj9LksMh9/sWjh94yqeun3jJfHx8/EknSDeMwklq8dyihs9lQnb7wmR8IHi1+ZGd6upq5efnKz093WN9enq6tmzZEqCq2q/qilLNeOWjJk/bhUR09jgV1vBnl8ulvXv36pePvqpbs97TPX/IVYfQcPf+jr/sveF9x4ecpkaJjh8d+ren1+pfH3+j0ejPiafFGkbhmrqn0MluhNjU+uPvI3Qmp96a2kegb7zo7eef7nh9dVwnG4lr6QhdS+prCMy+GGk8E631HQn0dw92CZbvU5sf2SksLFRdXZ0SEhI81ickJKigoKDJ91RVVamqqsr9uqSkRJJUWlrq09rKyspUXnhENcfK1CGsk+qrjqmyvEQdnCFe/TlY9nG6/dVW/6hjRd+d8T4mZ+1RfU2V6upq5ewUpfqqSs/91dbqwIEDkqRjP7hUrw7q2LGjDh8Odffv5Kw9cjqdeua2yxUbG6uioiLd/eyfFNU1RfVVle59lJWVuf/7FBUVaerSdcr6P9dIkntfE5/aqiW/vU6xsbFNtj3d+qKiItVWVerAgQM6cOCAx/aioiLNeHWzJHnU2tQ+mvo8f/H2809834nHK8knx9VUP55qvbf1N/e9NT8ek6RG37XW0FrfkUB/92CXhu/TqgcmuEfofanh7+3ThinTxn3zzTdGktmyZYvH+t///vemT58+Tb7nkUceMZJYWFhYWFhYLFgOHTp0yqzQ5kd24uPj1bFjx0ajOEePHm002tNg9uzZmj59uvt1fX29ioqKfHqevbS0VMnJyTp06JCio+2foNxc9M/p0UenRv+cGv1zevTRqbWF/jHGqKysTElJSads1+bDTmhoqAYNGqScnBz94he/cK/PycnRDTfc0OR7wsLCFBYW5rHurLPOapX6oqOjg/ZLEgzon9Ojj06N/jk1+uf06KNTC/b+iYmJOW2bNh92JGn69Om67bbbNHjwYA0dOlRLly7VwYMHdffddwe6NAAAEGBWhJ3x48fL5XLp0Ucf1ZEjR5SWlqZ3331X3bt3D3RpAAAgwKwIO5I0ZcoUTZkyJdBluIWFhemRRx5pdLoMP6F/To8+OjX659Ton9Ojj07Npv5xGMPNFAAAgL3a/E0FAQAAToWwAwAArEbYAQAAViPstMCSJUuUkpKi8PBwDRo0SJs2bTpl+9zcXA0aNEjh4eHq2bOnXnzxRT9VGhjN6Z81a9Zo9OjROvvssxUdHa2hQ4fqvffe82O1gdHc71CDjz/+WE6nUxdffHHrFhhgze2fqqoqzZkzR927d1dYWJh69eqlP/zhD36q1v+a2z+rVq3SgAED1KlTJ3Xt2lW//vWv/fIcr0D46KOPdP311yspKUkOh0Nvvvnmad/T3n6jm9tHbfp32jcPbWh/srOzTUhIiHnppZfM7t27zbRp00xkZKQ5cOBAk+2/+uor06lTJzNt2jSze/du89JLL5mQkBDzxz/+0c+V+0dz+2fatGnmiSeeMP/7v/9r9u7da2bPnm1CQkLMZ5995ufK/ae5fdTghx9+MD179jTp6elmwIAB/ik2ALzpn3HjxpkhQ4aYnJwcs3//fvPXv/7VfPzxx36s2n+a2z+bNm0yHTp0MM8++6z56quvzKZNm8yFF15obrzxRj9X7h/vvvuumTNnjvnTn/5kJJm1a9eesn17+402pvl91JZ/pwk7Xrr00kvN3Xff7bHuggsuMA888ECT7WfNmmUuuOACj3V33XWX+Zd/+ZdWqzGQmts/TenXr5+ZO3eur0sLGt720fjx482DDz5oHnnkEavDTnP75y9/+YuJiYkxLpfLH+UFXHP756mnnjI9e/b0WPfcc8+Zbt26tVqNweJM/iJvb7/RJzqTPmpKW/md5jSWF6qrq5Wfn6/09HSP9enp6dqyZUuT7/nkk08atb/66qu1detW1dTUtFqtgeBN/5yovr5eZWVl1j512ds+Wr58ufbt26dHHnmktUsMKG/656233tLgwYP15JNP6txzz1Xv3r01c+ZMVVZW+qNkv/Kmf4YNG6bDhw/r3XfflTFG3333nf74xz/quuuu80fJQa89/Ub7Slv6nbbmpoL+VFhYqLq6ukYPGk1ISGj0QNIGBQUFTbavra1VYWGhunbt2mr1+ps3/XOiZ555RhUVFbr55ptbo8SA86aP/vGPf+iBBx7Qpk2b5HTa/b+uN/3z1VdfafPmzQoPD9fatWtVWFioKVOmqKioyLp5O970z7Bhw7Rq1SqNHz9eP/74o2prazVu3DhlZWX5o+Sg155+o32lLf1OM7LTAic+Id0Yc8qnpjfVvqn1tmhu/zR47bXXlJmZqddff13nnHNOa5UXFM60j+rq6jRhwgTNnTtXvXv39ld5Adec71B9fb0cDodWrVqlSy+9VNdee60WLFigFStWWDm6IzWvf3bv3q377rtPDz/8sPLz87Vu3Trt37+fZwgep739RrdEW/udtvufh60kPj5eHTt2bPQvqKNHjzb6l0GDxMTEJts7nU7FxcW1Wq2B4E3/NHj99dc1efJkvfHGGxo1alRrlhlQze2jsrIybd26Vdu2bdO9994r6ae/3I0xcjqdWr9+va666iq/1O4P3nyHunbtqnPPPdfjCch9+/aVMUaHDx9Wampqq9bsT970z/z583XZZZfpP/7jPyRJ/fv3V2RkpK644gr9/ve/b/cjF+3pN7ql2uLvNCM7XggNDdWgQYOUk5PjsT4nJ0fDhg1r8j1Dhw5t1H79+vUaPHiwQkJCWq3WQPCmf6Sf/qVw++23a/Xq1dbPI2huH0VHR2vHjh3avn27e7n77rvVp08fbd++XUOGDPFX6X7hzXfosssu07fffqvy8nL3ur1796pDhw7q1q1bq9brb970z7Fjx9Shg+dPfseOHSX9cwSjPWtPv9Et0WZ/pwM0MbrNa7jsc9myZWb37t0mIyPDREZGmq+//toYY8wDDzxgbrvtNnf7hssa77//frN7926zbNkyqy9rbG7/rF692jidTvP888+bI0eOuJcffvghUIfQ6prbRyey/Wqs5vZPWVmZ6datm/nVr35ldu3aZXJzc01qaqq58847A3UIraq5/bN8+XLjdDrNkiVLzL59+8zmzZvN4MGDzaWXXhqoQ2hVZWVlZtu2bWbbtm1GklmwYIHZtm2b+9L89v4bbUzz+6gt/04Tdlrg+eefN927dzehoaHmZz/7mcnNzXVvmzRpkhk+fLhH+w8//NAMHDjQhIaGmh49epgXXnjBzxX7V3P6Z/jw4UZSo2XSpEn+L9yPmvsdOp7tYceY5vfPnj17zKhRo0xERITp1q2bmT59ujl27Jifq/af5vbPc889Z/r162ciIiJM165dza233moOHz7s56r944MPPjjlbwq/0c3vo7b8O81TzwEAgNWYswMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAtIqPPvpI119/vZKSkuRwOPTmm282ex/GGD399NPq3bu3wsLClJycrHnz5jVrH4QdAO3Whx9+KIfDoR9++OG0bVesWKGzzjqr1WsCbFJRUaEBAwZo8eLFXu9j2rRp+u///m89/fTT+uKLL/T222/r0ksvbdY+eOo5AJyB8ePH69prrw10GUCbMmbMGI0ZM+ak26urq/Xggw9q1apV+uGHH5SWlqYnnnhCI0aMkCTt2bNHL7zwgnbu3Kk+ffp4XQcjOwBwBiIiInTOOecEugzAKr/+9a/18ccfKzs7W59//rn+9V//Vddcc43+8Y9/SJLefvtt9ezZU++8845SUlLUo0cP3XnnnSoqKmrW5xB2APjcunXrdPnll+uss85SXFycxo4dq3379kmSvv76azkcDq1Zs0ZXXnmlOnXqpAEDBuiTTz5xv7/hlNF7772nvn37qnPnzrrmmmt05MgRd5sRI0YoIyPD43NvvPFG3X777e7XK1eu1ODBgxUVFaXExERNmDBBR48e9eqYTjyNlZmZqYsvvlivvvqqevTooZiYGN1yyy0qKytzt6mvr9cTTzyh888/X2FhYTrvvPP02GOPefX5gG327dun1157TW+88YauuOIK9erVSzNnztTll1+u5cuXS5K++uorHThwQG+88YZeeeUVrVixQvn5+frVr37VrM8i7ADwuYqKCk2fPl15eXnauHGjOnTooF/84heqr693t5kzZ45mzpyp7du3q3fv3vq3f/s31dbWurcfO3ZMTz/9tF599VV99NFHOnjwoGbOnNmsOqqrq/W73/1Of/vb3/Tmm29q//79HmGopfbt26c333xT77zzjt555x3l5ubq8ccfd2+fPXu2nnjiCT300EPavXu3Vq9erYSEBJ99PtCWffbZZzLGqHfv3urcubN7yc3Ndf/jqL6+XlVVVXrllVd0xRVXaMSIEVq2bJk++OAD/f3vfz/jz2LODgCf++Uvf+nxetmyZTrnnHO0e/dude7cWZI0c+ZMXXfddZKkuXPn6sILL9SXX36pCy64QJJUU1OjF198Ub169ZIk3XvvvXr00UebVccdd9zh/nPPnj313HPP6dJLL1V5ebm7jpaor6/XihUrFBUVJUm67bbbtHHjRj322GMqKyvTs88+q8WLF2vSpEmSpF69eunyyy9v8ecCNqivr1fHjh2Vn5+vjh07emxr+P+za9eucjqd6t27t3tb3759JUkHDx4843k8jOwA8Ll9+/ZpwoQJ6tmzp6Kjo5WSkiLppx+nBv3793f/uWvXrpLkcYqpU6dO7qDT0Ka5p6C2bdumG264Qd27d1dUVJR70uPxdbREjx493EHnxBr37NmjqqoqjRw50iefBdhm4MCBqqur09GjR3X++ed7LImJiZKkyy67TLW1te6RHknau3evJKl79+5n/FmM7ADwueuvv17Jycl66aWXlJSUpPr6eqWlpam6utrdJiQkxP1nh8MhSR6nuY7f3tDGGON+3aFDB4/X0k+jQQ0qKiqUnp6u9PR0rVy5UmeffbYOHjyoq6++2qOOlmiqxoZjiIiI8MlnAG1ZeXm5vvzyS/fr/fv3a/v27YqNjVXv3r116623auLEiXrmmWc0cOBAFRYW6v3339dFF12ka6+9VqNGjdLPfvYz3XHHHVq0aJHq6+t1zz33aPTo0R6jPafDyA4An3K5XNqzZ48efPBBjRw5Un379lVxcbHPP+fss8/2mLBcV1ennTt3ul9/8cUXKiws1OOPP64rrrhCF1xwgdeTk72RmpqqiIgIbdy40W+fCQSbrVu3auDAgRo4cKAkafr06Ro4cKAefvhhSdLy5cs1ceJEzZgxQ3369NG4ceP017/+VcnJyZJ++kfN22+/rfj4eP385z/Xddddp759+yo7O7tZdTCyA8CnunTpori4OC1dulRdu3bVwYMH9cADD/j8c6666ipNnz5df/7zn9WrVy8tXLjQ4+aA5513nkJDQ5WVlaW7775bO3fu1O9+9zuf13Ey4eHh+s///E/NmjVLoaGhuuyyy/T9999r165dmjx5st/qAAJpxIgRjUZgjxcSEqK5c+dq7ty5J22TlJSkP/3pTy2qg5EdAD7VoUMHZWdnKz8/X2lpabr//vv11FNP+fxz7rjjDk2aNEkTJ07U8OHDlZKSoiuvvNK9/eyzz9aKFSv0xhtvqF+/fnr88cf19NNP+7yOU3nooYc0Y8YMPfzww+rbt6/Gjx/v19ElAD9xmFNFLgAAgDaOkR0AAGA1wg4A6Kdn+Bx/Y7Pjl+Y+YRlAcOE0FgBI+uabb1RZWdnkttjYWMXGxvq5IgC+QtgBAABW4zQWAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGC1/wcj9jw1kFhm9QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in num_columns:\n",
    "    sns.histplot(df[i])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae4cd5b7",
   "metadata": {},
   "source": [
    "# Bivariate Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b940ac7",
   "metadata": {},
   "source": [
    "#### Analysing loan status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "f1950977",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(['purpose'])['loan_status'].count().plot.barh()\n",
    "plt.title('Charged off customers across different purpose of loan',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Loan Purpose',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "id": "c6fc1ca9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(['grade'])['loan_status'].count().plot.bar()\n",
    "plt.title('Charged off customers across Different Grades',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Grade',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "cc99ba5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(['verification_status'])['loan_status'].count().plot.bar()\n",
    "plt.title('Charged off customers across their salary verification status',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Salary verification status',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "id": "3d11900a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8gVeoUMFMmDDB1KlTxxw+fDjXuoOCgrIMzykpKWbo0KFm+vTp2Qb95ORkEx4ebiIiIsyFCxey3MaWLVuMr6+v+frrr7OtY8KECeb222/Pst7jx4+bunXrmh9//LHAQf/s2bMmKCjIPPHEE1m+aE+dOmUqVapkHn300RzXY094Tt15s/rQkBfnzp0zFSpUMH379jUJCQnZtouKijKnT5/OV63G5Bz07777btOnT58cl8/uTS0yMtIMGDAg1+0b829odnNzM1988UWW81etWmW8vLzM3Llzs11HeHi4GTp0qClfvrz5/vvvs2zTs2dP06lTJ3Ps2DETFhaW5Rt5YmKiadiwoRkyZEi229qzZ4/x9vY206dPz7bN008/bUJDQ01MTEyW8wcMGGB69+5tmjVrZn766ads12NMwZ6H3BTG8SclJcV069bN1K1b1/z999/ZrufatWtm3759mabn5bEo6Gtl/fr1xt3d3fzxxx/ZbiO7x/JGPg/G/BvevL29zSeffJJpXnJyshk+fLh55pln8hX000oNujmx9wTLihUrjIeHR7bH+aSkJPPAAw+YunXrmqSkpCzbpO67devWzfUD5ccff2z8/f3N+vXrs5x/5coVEx4ebrp06ZLtOipUqGCefvpp06BBg2xD1siRI03NmjWzDTn79+8vUEjLaObMmaZChQp2tY2KijKlSpUyY8aMyfYxfe+994yPj485duxYlvNTg3737t3NRx99lOP2UvfPunXrmnfffTfLNqmPV0xMjKlYsWK2+3GPHj1Mx44ds5x35MgR4+7ubpYsWZJtLdeuXcvxWJWbhx56yNx+++1ZHqeSk5PNkCFDTOnSpc25c+eyXUfqB5+CKkjQj4+PN1WrVjU9e/bMMh/ExMSYRo0amTZt2mS7jtQP+9k5dOiQKVWqlHnzzTezbZMa9AcPHmymTp2aZZvjx48bf39/s2DBghzuUfbyHPQfe+wxExERka+NZWXSpEnG3d3d/O9//8uxXadOncyIESPyvZ3ExERToUIF8/HHH2fbpkKFCsbLy8ts3Lgxx3WdO3fOeHl5mXnz5mXbJiEhwTRp0sQEBARkGfTnzZtnrFZrjp8Wjfn3zEutWrWynLdv3z7j5eWV4xvun3/+aRo3blzgoD948GBTr169bA+Kxhjz66+/GovFkuMbTVEG/aefftpUr17dXLt2LV/LFzToX7161RQrVsysXr06X9u3N+inpKSYGjVqmCeffDLHdlOmTDGlSpXKNkiFh4cbLy+vbN+IjDFm5cqVxmKxmHbt2pkVK1Zk227WrFkmODg42/l333236d+/f471Jicnm9q1a5tXX301y/kDBgwwXl5eOX7bZ0zBn4fCkNvxZ/HixcbT0zPf35Ta+1gUxmvlmWeeMa1bt85zjUXxPDRv3tyMGzcu2/kpKSmmU6dOpnr16jdF0E9JSTFVqlQxzz//fI7runz5sgkKCsr2w0Dqvpvdh7dUcXFxxmq1ZvlBKK2TJ08aDw+PbI/lFSpUMN7e3jm+90RHR5tixYqZDRs2ZDnfkUH/scces+s13KlTJ/PEE09kOW/SpEnGy8vLDB48ONf1pO6fOX1D/9dffxlJpkOHDmbWrFnZtkv9oJ76TXhaH3zwgSlfvnyu9eTXxo0bTbFixbL9psaYf491tWvXzvEYczME/SlTppgyZcpk+TimOnLkiPH29jbffPNNvmv86KOPTFhYWLYfeGfPnm08PDzMfffdl+N6hg8fbtq1a5evGvLcR//ChQsqWbJk/vsKZSEpKUmPPPJIjm3atGmjDRs25Hsb7u7uuvfee7Vu3boc29WoUUPNmzfPsc0333yjgIAA9evXL9s2np6eeuCBBxQbG5vl/E8++UQPP/ywAgMDc9zWwIEDtW/fPu3duzfTvJkzZ6pTp06qV69etstXr15dlStXznEbubl69aq++OILTZgwIccLaFq0aKE2bdroo48+KtD2Csvs2bM1YsSIHH/45ka6dOmSUlJSZLVab+h2fvnlFx08eDDbX/pM9dRTT+natWv6/vvvs23j5+enIUOGZDu/cePGMsYoJiZG7dq1y7Zdw4YNFR0drX/++SfTvKNHj2rNmjUaNWpUjvUWK1ZMjz76qL7++uts2yQlJWnQoEE5rqeonoec5Hb8+fTTT9WjRw9Vq1Yt39uw57EojNfKhQsX8vVY3ujn4ffff9e2bdv09NNPZ9vGYrFo1KhROfYfL0rr1q3TkSNHNGLEiBzbFS9eXH379s1xX/Dz89P999+f43q+/fZbFStWTA8//HCO7W677TZ17Ngxx+01btw4x/ee0qVLq2bNmtq8eXOO2ypqV65c0YIFC/TUU0/l2vbxxx/P8TFISEjQsGHD7NpuYmJijvvd7bffrpIlS2r37t05/nBUw4YNlZycnOVrOL/7pr1mzZqltm3bqkmTJtm2cXd314QJEzRv3rxcr/VwpFmzZmn48OHy9/fPtk2lSpXUr18/ffjhh/nezv33369Tp07leN1aYmJirq+j8PBw/fbbb9leC5mTPAf9uLg4FS9ePM8bykloaKjKlSuXY5uKFSvqyJEjBdpOpUqVMl1MmFFuIV+Sfv31V7Vt2zbXq8Y7deqU5fTExERt3rw5x6CUqlSpUqpUqVKmC3Ukafny5erYsWOu62jfvn2ubXKybds2XblyRd26dcu1bY8ePW6KYVQPHjyof/75p8D3vSCCg4MVGhqqxYsX39DtrF27Vg0aNNBtt92WYztfX1+1a9cux+enVatWOY4NHhAQoOLFi+vuu+/OcVupQ6edPXs207xffvlFJUuW1B133JHjOqR/w8Qff/yR7UVRVatWValSpXJcR1E9D7nJ6fizcePGAr9W7XksCuO1Uq9ePW3evFnnz5/PU303+nlYvny57rjjDgUHB+fYLiIiIsfXeFFav3697Rflc9O4ceMs3wfSznd3z3kgvfXr1ysiIiLXdvZsz573yvLly+vEiRO5titK27dv19WrV9W2bdtc2zZu3Fj//PNPtgNB+Pr6qn79+nZtt169ernun2XLllXr1q1zzBYlS5aUt7d3lsfWevXq6c8//yxwVsrO2rVr1b1791zbde/eXZcvX9b27dtvSB0FdeLECR09etSu+9KjRw9t2LBBSUlJ+dpWiRIlVKJEiRyzZ8aLt7NSvnx5xcXF6dKlS3muIc9B39/fX1euXMnzhnKS24FZ+vdsRVxcXI5trl27pnnz5qlPnz6qVauWgoOD5evrK29vb3l7e2vs2LGKiYnJcR32/ELfwYMHVaNGjVzbVatWLcsd9siRI0pISLBrHdK/Z0YyjkSRkJCggwcPZvrJ9azUrl3bru1kZ9++fSpfvrwCAgJybVu3bl399ddftqHlHOWvv/6Su7u7qlSp4rAa3Nzc9OGHH2rKlCl65plnsjy7XRj27dununXr2tW2bt262rdvX7bzcwuA0r9vbrm18/HxkfTvt0EZ7d+/X9WrV89xNIxUpUuXVmJiYraPnT37a1E9D/k9/sTHx+vMmTO2UUjyy57HojBeK4MGDVKNGjUUERGhFStW2H2G6UY/D7t377breOjl5VXgbzkLy/79+wv0PpCWPc9/YW7PnlH3/Pz8dPnyZbu2V1T279+vMmXK2HXmO/UDWHaPQ/ny5e06jkmFd2yV/j2+ZnVs7dq1q3r16qU2bdrom2++yXc4zUp8fLyOHj1q1/GjRIkSuu2223J8r3Gkffv2yc3Nza5jbt26dXXt2rUcPzzt2bNHEyZMUHh4uMLCwmS1Wm3HfW9vb128eDHH7Onn5ydfX98c6/Dz85OkfO1PeR5HPzAwUH/99VeeN5ST1FCQk2LFiuU4JNTevXt1zz33yMvLSw899JAef/xxlS5dOt26v/rqqxyHupT+34OZk5iYGLu6L7m5uWX5tVDqJ7KcvvZM6/r165nOPly8eFHGGJUoUSLX5e1pk5OLFy/m2sUoVVBQkG2ZtENGFbWYmBj5+/urWLE8f5YtVD169ND27dv13HPPqUKFCrrjjjvUunVrtW3bVhEREYUylvDFixft/jAXFBSU41CP9nxbV6xYsVz3k9THPashwS5duqTffvtN3t7euW4rNURmd3CzZ3+VbvzzUJDjT+obQEG/crfnsSiM14qnp6dWr16td999V0OHDtXVq1fVrl07tWrVSl26dMkxqNzI5+H8+fN2f1gq6DGxsFy6dEkrVqzIsTtdqpSUFCUmJur69etZ/n6NPc//pUuX9Nprr+nNN9/MtW1ycnKO3zTkFkykf48DBRoW8Aa4dOmSoqKi7Dr+pCro8UcqvGNrarvsHtcvv/xS8+bN00svvaTBgwerXbt2uuuuu9SlSxdVrVrV7nozSs0teckCeRlWuChdvHhRAQEBdn2zlZppsrsvEyZM0DvvvKPIyEgNHjxYlStXlr+/f7pjWatWrXTt2rVst2HvviRl/Z6amzwH/Tp16uQ4RrIjxMbGqmPHjrr33nv11ltvZftmYbVacz37ZM8bjTHG7k/xWbVLfaJ+/fVXu7tBpb7Y7Fl/Rvnp05VxG/auI7WdvY+PK6hVq5YWLlyo2NhYrVmzRqtXr9bAgQOVnJysl19+Odf+srnJ6/Pj6OcmOTlZbdu21TvvvGP3MtmdrcxLMLxRz0NhHn8Kwp7HorBeK+7u7ho9erRGjx6tXbt2ac2aNfrhhx80cuRI9ejRQ2+//bbKlCmT5bI3cn+w97V9I5+HvEhOTlb//v01YcIEu5fJrtuRPc9/cnKyJkyYoIceesiubdkThG41ycnJqlmzpl2/z5MqLCwsy+k3448+WSwWDRgwQAMGDNDhw4e1atUqLV++XBMnTlTLli01Y8YMVa9ePV/rlezfd26G95rsFFameeONNzR79mxt3bpVderUyXYdiYmJDj3m5HkvbtGihc6fP68DBw7k68VyI3z88cdyd3fXm2++meOOV1j91kqUKJHrD5hI/x5QsroYN/VsUtmyZbN9M8xNyZIlZbFY7Kojt+5K9mzL3k/m58+fl8VicfgZM6vVqri4OKWkpOT7rL7FYrHrh0Xs/SotICBAPXv2VM+ePfXWW2/p66+/1rBhw3Tu3DmNHTs2XzVKeX9+7D0jc6OUKFFCFovF7i4Eha2wn4eCHn9Sz+Tnp+9lXt2I10q9evVUr149PfXUU/r77781atQoNW/eXL///nuOyxf28xAUFGTX8VAq+DGxsJQoUUKenp5Fti+UKFFCxYsXd9i+dzMoUaKEkpKSXOIxqFKliqpUqaIhQ4bowoULeuGFF9S8eXNt2bIlz91aU9/Tb6X3muyULFlScXFxSkpKyvXDbOq1SBnvS1JSkqZMmaJp06blGPIvXLjg8ONNnhNQkyZNVLlyZc2bN+9G1JMvGzZsUPv27XO9wKqwLhKtVq1arr+aJ0mHDh3K8muW1F/bPXz4cL5r8PLyUrVq1ezqA5fViD15UbNmTZ08edKuF+vu3bttv5DoSLfffruSkpJ06NChfK/Dz8/PrutRsrooKjcWi0WRkZF67bXX9OKLLyoxMTHLNvaoWbOmdu/ebVdbe/sx30hVq1Yt0Gu/MNnzPOSmoMcfHx8fhYaGav/+/Xnedl7d6NdKuXLl9MUXX6hYsWJ5Gn2rMJ6H3K4/SZWQkFDo3U/zq6j3hZtt33PE+qpWrarjx4/n6zV2KwsMDNSMGTNUu3Ztvf7663le3tvbW5UqVbLr+HHx4kWdOnXK4e812alZs6aSk5PtOl7s3r3bdt/T2rdvny5cuKAuXbrkuPzNMDhJnoO+xWLRU089pQ8++CBfAedGuHz5cq4Xim7btk3Hjx8vlO21aNFCq1atyrWv1M8//5zldB8fHzVq1ChPP/OdlQ4dOmjZsmW5tlu+fHmBttOoUSP5+vpqyZIlubZdtGiRwsPDC7S9wlCtWjUFBQXZ9RPU2bFnxIjDhw8X6KLChg0bKi4uLst1+Pr65tivL1VERIT++OMPnTp1Ksd2V69e1apVqxz+/ISHh+vo0aM31WgcOT0PuSmM40+LFi0K9Fq1V1G8Vjw8PFSvXr0ch5PLTkGehw4dOmjHjh25vi+tWbPmpgl54eHh2rp1a5YXVt6o7eU2xHRRSe2XbM8xzt712bOu1NFNbrZhP4tKw4YN87VvSv8eP+wZNevHH3+Uv7+/7rzzznxt50YrX768KlWqZNd9WbRokVq2bJnpzH/qN/m5HfvnzZtnVx/8GylffRqeeOIJVa9eXQMGDMh22LusZBd8C+q2227L9QzNiy++aHe/xNzcf//9unTpkhYsWJBtm8TERP3444/Z9q0fMmSIZs2aVaARCYYOHaply5Zp586d2bbZv39/gbss+fr6qm/fvnr11Vdz7Mry22+/ae3atbmO5V0ULBaLHnnkEc2YMSPfIwA1a9ZMv/zyS45t3nvvvQJ9e3HixAl5eHhk+RVn+fLl7fpGolWrVqpSpYpee+21HNvNmDFDnp6e6t27d77rLQzVqlVTeHi4pk+f7tA60srpechNYRx/Hn30Uf34448F+gbKHkX1Wjlx4kS+LsYvyPNw5513qlGjRnr11VezbZOSkqLp06ffNN1O27Vrp9KlS2vWrFlFsr0HHnhA586duymuswsJCZGXl1ehvebLly+vc+fO5frNs7+/v/r27WvXBcnOKL/7pvTv7/qsXLlS27Zty7ZNcnKyXn/9dT344IN2DbTiKAMHDtSMGTNyzGDHjx/XggULssw0qYMO5HTs37ZtmywWS6H/9lRe5Svou7m56auvvtKRI0fUpUuXXM+UnzhxQpGRkbn+SEt+9ejRQ0uXLtWePXuynP/222/L29u70D5dli5dWuPHj9fo0aOzHRt19OjR6t27t9zd3bP8SvGhhx5SxYoVdf/99+d4YEpOTtaiRYuynFerVi2NHj1avXr1yvLFduLECd1///16/vnn7bxn2fvvf/+r48ePa/To0VleVHLmzBk9+OCDeuihh9S0adMCb68wTJgwQfHx8Xr00Udz/EB67dq1LJ+Dxx57TIsXL9aOHTuyXG7evHn6888/1aBBgyznHzt2LMduUwkJCZoyZYo6dOiQ5YeFjh076vfff9fq1auzXYf074ead955R++9956++eabLNusW7dOkyZN0muvvXZTHHzffvttffTRR5o5c2aO7aKjo/Xrr78WaFsFfR5yUxjHn65du6pdu3bq3bt3jkMaSv8+JvlVGK+V5cuX53hG/IcfftCOHTsy/e7GjX4epH9/RPD999/Xxx9/nGleSkqKRowYoQYNGjh0RLC0ihUrpvfff1/PPvusfvjhhxzbHjt2LNtjkb0CAgL0+uuva+DAgbnuV3v27LmhHzw9PT0VERGhN998065roXLTpEkTWa1WuwL8yy+/rF9//VXPPfdcjhdJxsbGauXKlQWuraisXbs2x+6m27Zt048//mjX+PFZadmypSIjI9WvXz9FRUVlmm+M0ciRI3X69Gm99NJL+dpGURk9erR8fHw0YMCALI9ncXFx6tOnjxo3bqw+ffpkml++fHnVr18/25MmZ8+e1aOPPnpTPA75vqQ+LCxMGzZs0ODBg1W9enXdf//96tSpkypXriyr1aqLFy/q4MGDWrp0qX744Qc1bdo016Et86tnz57q3r27WrRooaeeekrt27dXYGCgjhw5orlz5+rgwYNat26dXUOY2WvSpEn6888/1bhxY40bN04dOnSQn5+f/vzzT7333nsqX768hg0bpsmTJ2f5puXm5qbvv/9evXr1UpUqVTRw4ECFh4erXLlyKlasmA4ePKj169fr22+/laenp3r06JFlHVOmTNHZs2d1xx13aNy4ceratassFot+/vlnvfHGG5o2bZrd42bnJPWHbrp06aKdO3dq+PDhqlmzpuLj47VmzRq99tpratCgQYF+Qa6wlS5dWsuXL9d9992natWq6fHHH1eLFi1sv9tw/PhxrVmzRvPnz9eCBQsydVNo0aKFRo8erfbt2+v5559XRESELBaL9u/frzlz5ujChQtaunRptn30jh8/rrvvvlv33XefOnfurFq1aslqtery5cv6/fff9e677+r06dPZXu/SrFkz9evXT/fee6+mTJmi8PBweXt7y8fHJ9MPzHXs2FFvv/22+vXrpyVLlqhfv34qV66coqOjtXDhQs2cOVNPP/20HnvssUJ4ZAuuXr16+v777xUZGam5c+fqwQcfVMOGDVWyZEnFxsbqjz/+0NKlS7V06VI9++yzatmyZb63VdDnITeFcfyxWCxasGCBHn30UdWoUUOPPvqo2rZtq/Lly8vLy0tnz57V5s2bNX/+fN13332aNGlSfh+OAr9Wpk6dqiFDhuixxx5TkyZNVLZsWbm7u+vkyZP68ccf9eGHH2rEiBFq3LhxuuVu9PMgSfXr19c333yjyMhILV26VIMHD7aN5/3666/LarXqp59+UocOHfK9jcLWsWNHzZw5Uw888IBat26t+++/X/Xq1ZPVatX58+e1fft2/fTTT1qzZo0+/vhju35oLieDBg3SP//8o4iICNvF0DVr1pSfn5+ioqK0ZcsWLVq0SFu2bNGyZcsKNCRjbqZOnapWrVqpe/fuevrpp21nScuVK5fnExI+Pj6aNm2ahg0bpri4OD344IO2C90zXnhatmxZLVu2TD169NDChQv16KOPqmnTpipVqpTi4+O1Z88erVixQosWLdJ9991n149b3gzmzp2ryMhIDRw4UM2bN7cdP6KiorR8+XK98847trH28+vjjz9W9+7dVa9ePT399NOKiIiQj4+P9u3bp3fffVd79+7VsmXL7PoRuMJy/PjxXH8zwGKxpPv9DF9fXy1dulRt27ZV48aNNXr0aDVo0EDJycnavHmzXnvtNVmtVi1evDjb6z8++OAD29DCI0aMUI0aNXTlyhVt2LBBb7/9tv7zn//YPYz6DWUKwa+//mpGjBhh6tatawIDA427u7sJCgoyTZo0MaNHjzZbtmzJdtlJkyaZpk2b5rqNpUuXmpzKTU5ONu+9955p3LixKV68uClevLhp2LChee2118zVq1eNMcbMmjXLVKhQIdt1VKhQwcycOTPXWtL67LPPTHh4uClRooTx8vIyDRs2NLNnz7bN9/X1NT/99FOOdX/99dfm3nvvNbfddpvx9vY2vr6+pl69embw4MFm4cKF5vr167nW8d1335m7777blChRwvj6+pouXbrYHvejR48aSWb//v15um9ZiYqKMqNHjzZVq1Y13t7exmq1mrvuusvMmjXLJCcn57q8JLN06dIc26xZs8ZIMvHx8QWu1xhjrl+/bubOnWu6d+9uypUrZ7y8vIyPj4+pXr26GTZsmPn1119zXP6zzz4zTZo0MT4+PsbX19c0bdrUvPfee7bnpWnTpmbSpEmZlktJSTGrV682AwcONJUrVzY+Pj6mWLFixt/f3zRo0MCMHz/enDlzJsdtJycnm3feecfUrVvXeHp6GkkmPDw82/bbt283/fr1M+XKlTOenp4mODjY9OzZ06xevTrXxyk8PNxMmDAh13YhISHpXuNZiYuLM5LMpk2bcmx37tw589JLL5nmzZvbjh2lS5c2bdq0MZMnTzZ//PFHtssOGDDAREZG5lpvYTwPuSmM40+q1atXm/79+5vKlSsbX19f4+HhYcLCwsx9991nvv/+e5OQkJBpGXsfi7Ty+1o5e/aseeutt0yrVq1MUFCQcXd3N56enqZcuXKme/fu5vvvv89yuaJ4HlL99ddf5vHHHze33Xab8fT0NLVq1TLvvfee7RiV02vdnuOlPe8VeT3uHj9+3IwfP97ceeedpkSJEsbd3d2UKVPGdOrUybzyyivm8OHD2S5r776b1r59+8zw4cNNnTp1TEBAgPHw8DDly5c3PXv2NO+88475+++/s13W3vfKyMhIM2DAgBzb7N+/30RGRppSpUoZSUaSWbNmTZ7uS1pLly41ERERpnjx4rb1ZScuLs68+eabpk2bNqZ06dLGw8PDlCxZ0rRs2dJMmDAhx/cGe7OLMfbvn9m9l2QUFBRkvvzyy0zTL126ZD7++GPToUMHExwcbDw8PIyHh4cJCQkx7du3N59++qld79O5SU5ONh9//LFp1aqVLftUrVrVjB492kRFReW6fH6OV1lJzQr2/Lm5uWW5jpiYGDNp0iRTp04d4+vra/z8/EzDhg3N66+/nuWxNqM///zT9O/f35QtW9Z4eHiYcuXKmQcffNBs3rzZ1qZcuXLZvmfOnj3bhISE5Lqd/fv3G0nm6NGjubbNyGLMTTKgsBNKSEiQt7e3tmzZkunsFgAAAHAjOfZnQ53crl27VKxYsRzHWAUAAABuBIL+DfTDDz+odevWN8XFjwAAAHAtBP18ym0M8E2bNmnGjBkF+sVTAAAAIL/yPeqOqxs4cKDi4+PVp08fNWzYUIGBgYqOjtbRo0e1YMECrVq1Si+//HKmIeYAAACAosDFuPm0a9cuff/991q1apVOnjypc+fOKSUlRbfddpvatGmjESNGFMqwlgAAAEB+EPSRTkpKik6fPi1/f/9sx44FAAA3F2OM4uLiVLZsWRUrRs9s/IuuO0jn9OnTCgsLc3QZAAAgH06ePGn78TGAoI90/P39Jf17oAgICHBwNQAAwB6xsbEKCwuzvY8DEkEfGaR21wkICCDoAwBwi6HbLdKiExcAAADghAj6AAAAgBMi6AMAAABOiD76AACgUCUnJysxMdHRZTgVDw8Pubm5OboM3GII+gAAoFAYYxQVFaVLly45uhSnVKJECYWGhnLBLexG0AcAAIUiNeQHBwfL19eXQFpIjDG6evWqoqOjJUllypRxcEW4VRD0AQBAgSUnJ9tCflBQkKPLcTo+Pj6SpOjoaAUHB9ONB3bhYlwAAFBgqX3yfX19HVyJ80p9bLn+AfYi6AMAgEJDd50bh8cWeUXQBwAAAJwQQR8AAABwQlyMCwAAbqiKzywusm0dm9a1yLYF3Ow4ow8AAOBAx44dk8Vi0c6dOx1dCpwMQR8AAABwQgR9AADg0lJSUvTKK6+oSpUq8vLyUvny5fXyyy9Lknbv3q27775bPj4+CgoK0uDBg3X58mXbshERERo1alS69d1zzz165JFHbLcrVqyoKVOm6LHHHpO/v7/Kly+vjz76yDa/UqVKkqQ77rhDFotFERERN+y+wrXQRx/4/xVlH1I4Hv14AaSaOHGiZs2apenTp+uuu+7SmTNn9Oeff+rq1avq1KmTmjVrpq1btyo6OlqPP/64hg8frjlz5uRpG2+88Yb++9//6tlnn9W3336rYcOGqXXr1qpRo4a2bNmiJk2aaOXKlapdu7Y8PT1vzB2FyyHoAwAAlxUXF6e3335bM2bM0IABAyRJlStX1l133aVZs2YpPj5e8+bNU/HixSVJM2bMUPfu3fXKK68oJCTE7u106dJFTzzxhCRpwoQJmj59utauXasaNWqodOnSkqSgoCCFhoYW8j2EK6PrDgAAcFn79+9XQkKC2rZtm+W8+vXr20K+JLVs2VIpKSk6cOBAnrZTr1492/8tFotCQ0MVHR2d/8IBOxD0AQCAy/Lx8cl2njEm21+jTZ1erFgxGWPSzUtMTMzU3sPDI9PyKSkpeS0XyBOCPgAAcFlVq1aVj4+PVq1alWlerVq1tHPnTl25csU27ddff1WxYsVUrVo1SVLp0qV15swZ2/zk5GTt2bMnTzWk9slPTk7Oz10AskXQBwAALsvb21sTJkzQ+PHjNW/ePP3111/avHmzPvnkEz344IPy9vbWgAEDtGfPHq1Zs0YjRoxQ//79bf3z7777bi1evFiLFy/Wn3/+qSeeeEKXLl3KUw3BwcHy8fHRsmXLdPbsWcXExNyAewpXxMW4AADghrrZR7l6/vnn5e7urhdeeEGnT59WmTJlNHToUPn6+urnn3/WU089pcaNG8vX11e9e/fWm2++aVv2scce0x9//KGHH35Y7u7uGj16tNq0aZOn7bu7u+udd97RSy+9pBdeeEGtWrXS2rVrC/lewhVZTMaOZXBpsbGxslqtiomJUUBAgKPLKVIMr+labvbgAdxqrl27pqNHj6pSpUry9vZ2dDlOKafH2JXfv5E9uu4AAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAgELDGB83Do8t8oqgDwAACiz1l1+vXr3q4EqcV+pjm/FXdoHsMI4+AAAoMDc3N5UoUULR0dGSJF9fX1ksFgdX5RyMMbp69aqio6NVokQJubm5Obok3CII+gAAoFCEhoZKki3so3CVKFHC9hgD9iDoAwCAQmGxWFSmTBkFBwcrMTHR0eU4FQ8PD87kI88I+gAAoFC5ubkRSoGbABfjAgAAAE6IoA8AAAA4IYI+AAAA4IQI+kVg5syZqlevngICAhQQEKDmzZtr6dKltvnGGE2ePFlly5aVj4+PIiIitHfv3nTrSEhI0IgRI1SqVCkVL15cPXr00KlTp9K1uXjxovr37y+r1Sqr1ar+/fvr0qVLRXEXAQAAcJMh6BeB2267TdOmTdO2bdu0bds23X333erZs6ctzL/66qt68803NWPGDG3dulWhoaFq37694uLibOsYNWqUFi5cqAULFmjDhg26fPmyunXrpuTkZFubfv36aefOnVq2bJmWLVumnTt3qn///kV+fwEAAOB4FsPvKTtEYGCgXnvtNT322GMqW7asRo0apQkTJkj69+x9SEiIXnnlFQ0ZMkQxMTEqXbq0PvvsM0VGRkqSTp8+rbCwMC1ZskQdO3bU/v37VatWLW3evFlNmzaVJG3evFnNmzfXn3/+qerVq9tVV2xsrKxWq2JiYhQQEHBj7vxNquIzix1dAorQsWldHV0CABQaV37/RvY4o1/EkpOTtWDBAl25ckXNmzfX0aNHFRUVpQ4dOtjaeHl5KTw8XBs3bpQkbd++XYmJienalC1bVnXq1LG12bRpk6xWqy3kS1KzZs1ktVptbbKSkJCg2NjYdH8AAAC49RH0i8ju3bvl5+cnLy8vDR06VAsXLlStWrUUFRUlSQoJCUnXPiQkxDYvKipKnp6eKlmyZI5tgoODM203ODjY1iYrU6dOtfXpt1qtCgsLK9D9BAAAwM2BoF9Eqlevrp07d2rz5s0aNmyYBgwYoH379tnmWyyWdO2NMZmmZZSxTVbtc1vPxIkTFRMTY/s7efKkvXcJAAAANzGCfhHx9PRUlSpV1KhRI02dOlX169fX22+/rdDQUEnKdNY9OjradpY/NDRU169f18WLF3Nsc/bs2UzbPXfuXKZvC9Ly8vKyjQaU+gcAAIBbH0HfQYwxSkhIUKVKlRQaGqoVK1bY5l2/fl3r1q1TixYtJEkNGzaUh4dHujZnzpzRnj17bG2aN2+umJgYbdmyxdbmt99+U0xMjK0NAAAAXIe7owtwBc8++6w6d+6ssLAwxcXFacGCBVq7dq2WLVsmi8WiUaNGacqUKapataqqVq2qKVOmyNfXV/369ZMkWa1WDRw4UGPHjlVQUJACAwM1btw41a1bV+3atZMk1axZU506ddKgQYP04YcfSpIGDx6sbt262T3iDgAAAJwHQb8InD17Vv3799eZM2dktVpVr149LVu2TO3bt5ckjR8/XvHx8XriiSd08eJFNW3aVMuXL5e/v79tHdOnT5e7u7v69Omj+Ph4tW3bVnPmzJGbm5utzfz58zVy5Ejb6Dw9evTQjBkzivbOAgAA4KbAOPpIx5XH4WUcfdfCOPoAnIkrv38je/TRBwAAAJwQQR8AAABwQgR9AAAAwAkR9AEAAAAnRNAHAAAAnBBBHwAAAHBCBH0AAADACRH0AQAAACdE0AcAAACcEEEfAAAAcEIEfQAAAMAJEfQBAAAAJ0TQBwAAAJwQQR8AAABwQgR9AAAAwAkR9AEAAAAnRNAHAAAAnBBBHwAAAHBCBH0AAADACRH0AQAAACdE0AcAAACcEEEfAAAAcEIEfQAAAMAJEfQBAAAAJ0TQBwAAAJwQQR8AAABwQgR9AAAAwAkR9AEAAAAnRNAHAAAAnBBBHwAAAHBCBH0AAADACRH0AQAAACdE0AcAAACcEEE/jd9++00nTpxIN+3UqVPq3r27mjRpoueee07Xr193UHUAAACA/Qj6afznP/9RSEhIumkjR47U22+/rfXr1ys5OVkTJkxwUHUAAACA/dwdXcDNJDExUV5eXrbbx44dU/Xq1XX77bdLkl5++WU1bdrUUeUBAAAAduOMfhrGmHS3V61apW7dutluu7m5ydfXt6jLAgAAAPKMoJ9GcnKykpKSbLc3bdqkZs2apWtz+fLloi4LAAAAyDOCfhr33XefJkyYoGPHjmnBggUqWbKk3NzcbPOvXLkiPz8/B1YIAAAA2Iegn8aoUaNUpUoVjRkzRrt379aUKVPSzf/pp5/0yCOPOKY4AAAAIA8sJmPHdLi02NhYWa1WxcTEKCAgwNHlFKmKzyx2dAkoQsemdXV0CQBQaFz5/RvZ44x+Gu3bt3d0CQAAAEChIOinUawYDwcAAACcA8k2jeLFiys5OdnRZQAAAAAFRtBPY+TIkZkuwC0MU6dOVePGjeXv76/g4GDdc889OnDgQLo2jzzyiCwWS7q/jEN7JiQkaMSIESpVqpSKFy+uHj166NSpU+naXLx4Uf3795fVapXValX//v116dKlQr9PAAAAuLnxy7hpnD9/XqdPn1bHjh3VpUsXlSlTRu7umR+iXr165Wm969at05NPPqnGjRsrKSlJzz33nDp06KB9+/apePHitnadOnXS7Nmzbbc9PT3TrWfUqFH68ccftWDBAgUFBWns2LHq1q2btm/fbhsGtF+/fjp16pSWLVsmSRo8eLD69++vH3/8MU81AwAA4NZG0E9jz549Cg0NVWhoqC5dupTlmXCLxZLnoJ8aulPNnj1bwcHB2r59u1q3bm2b7uXlpdDQ0CzXERMTo08++USfffaZ2rVrJ0n6/PPPFRYWppUrV6pjx47av3+/li1bps2bN6tp06aSpFmzZql58+Y6cOCAqlevnmm9CQkJSkhIsN2OjY3N030DAADAzYmgn8akSZOKZDsxMTGSpMDAwHTT165dq+DgYJUoUULh4eF6+eWXFRwcLEnavn27EhMT1aFDB1v7smXLqk6dOtq4caM6duyoTZs2yWq12kK+JDVr1kxWq1UbN27MMuhPnTpVL7744o24mwAAAHAg+ugXMWOMxowZo7vuukt16tSxTe/cubPmz5+v1atX64033tDWrVt199132862R0VFydPTUyVLlky3vpCQEEVFRdnapH4wSCs4ONjWJqOJEycqJibG9nfy5MnCuqsAAABwIM7o5+Dy5cvy8/Mr1HUOHz5cu3bt0oYNG9JNj4yMtP2/Tp06atSokSpUqKDFixfn2FXIGCOLxWK7nfb/2bVJy8vLS15eXnm9GwAAALjJcUY/g/Xr16tTp05q0qSJmjRpkm7e559/rq1bt+Z73SNGjNCiRYu0Zs0a3XbbbTm2LVOmjCpUqKBDhw5JkkJDQ3X9+nVdvHgxXbvo6GiFhITY2pw9ezbTus6dO2drAwAAANdA0E/jhx9+0LRp0zRv3jxt2bIlUziuX79+ulFx7GWM0fDhw/X9999r9erVqlSpUq7LnD9/XidPnlSZMmUkSQ0bNpSHh4dWrFhha3PmzBnt2bNHLVq0kCQ1b95cMTEx2rJli63Nb7/9ppiYGFsbAAAAuAa67qQxffp0/fDDD7Z+8Bm7u9StWzfT+Pf2ePLJJ/XFF1/o//7v/+Tv72/rL2+1WuXj46PLly9r8uTJ6t27t8qUKaNjx47p2WefValSpXTvvffa2g4cOFBjx45VUFCQAgMDNW7cONWtW9c2Ck/NmjXVqVMnDRo0SB9++KGkf4fX7NatW5YX4gIAAMB5EfTTSE5OznSxa0bGmDyvd+bMmZKkiIiIdNNnz56tRx55RG5ubtq9e7fmzZunS5cuqUyZMmrTpo2++uor+fv729pPnz5d7u7u6tOnj+Lj49W2bVvNmTPHNoa+JM2fP18jR460jc7To0cPzZgxI881AwAA4NZG0E8jKSkp1zbXr1/P83pz+3Dg4+Ojn3/+Odf1eHt7691339W7776bbZvAwEB9/vnnea4RAAAAzoU++mkEBwfr2LFj2c4/dOiQSpUqVXQFAQAAAPlE0E/jP//5j0aOHKm4uLhM886dO6dBgwbpueeec0BlAAAAQN7QdSeNJk2aaOzYserWrZv8/f114MABDRkyREePHlVcXJymTp2qxo0bO7pMAAAAIFcE/QzCw8O1bt06RUdH69ixY0pJSVH58uVVtmxZR5cGAMinis8sdnQJKELHpnV1dAnATYGgn43g4GAFBwc7ugwAAAAgX+ijDwAAADghzuhnEB8fr19++UWnTp1SQkJClkNjPvHEEw6oDAAAALAfZ/TT2Lx5sxo1aqSlS5fq8uXLKlasmNzc3DL9AQAAADc7zuinMXHiRC1btkxhYWGOLgUAAAAoEM7op5GSkkLIBwAAgFMg6KeRnJzs6BIAAACAQkHQT6Nnz56aM2eOo8sAAAAACoygn8a4ceO0d+9effDBB4qKinJ0OQAAAEC+cTFuGsnJyfL29tbkyZP15ptvytvbO918Y4wsFot27drloAoBAAAA+xD003jyySdVvXp1nTx5Uh4eHo4uBwAAAMg3gn4ae/bs0YcffujoMgAAAIACo49+GsWK8XAAAADAOZBs0yhXrpwOHjzo6DIAAACAAiPop/Hf//5X48ePV0xMjKNLAQAAAAqEPvppvPPOO3J3d1elSpV09913KzQ0NMvuPO+8844DqgMAAADsR9BP47777pMkjRgxwsGVAAAAAAVD0E8jPDzc0SUAAAAAhYI++gAAAIAT4ox+Nvbv369jx45JkipVqqQaNWo4tiAAAAAgDwj6Gfz444+aMGGCqlSposqVK8sYo7/++ktHjhzRq6++qq5duzq6RAAAACBXBP00lixZorfffls///yzwsLC0s07efKkBg4cqGLFiqlz584OqhAAAACwD33003j11Vf19ddfZwr5khQWFqYFCxbolVdecUBlAAAAQN4Q9NOwWCwKDAzMdn5gYKAsFksRVgQAAADkD0E/jaSkpEJpAwAAADgaQT+NGjVqaMmSJdnO//nnn1WtWrUirAgAAADIHy7GTeOVV15Rly5dtH79ej3++OOqWLGiJOnYsWP65JNPtGbNGi1evNixRQIAAAB2IOinERgYqHXr1unjjz/W8OHDdfLkSVksFlWoUEFdunTRunXr5OXl5egyAQAAgFwR9DPw8vLSk08+qSeffNLRpQAAAAD5Rh99AAAAwAkR9NO49957C6UNAAAA4GgE/TQuXbqUa5sLFy7c+EIAAACAAiLop5Hbj2Ht2bNHHh4eRVQNAAAAkH8ufzHu0qVLtXTpUhljdOjQIY0cOTLLdufOndOOHTv0xRdfFHGFAAAAQN65fNCvVauWfH19JUkbNmxQ7969M7WxWCyyWq2qXbu23N1d/iEDAADALcDlU2uFChVUoUIFSdJ//vMfhYeHO7giAAAAoODoo59GVmfzAQAAgFsRQd8OZ8+e1e7du5WUlOToUgAAAAC7EPTTmDp1qg4cOJBu2tdff62+fftq2rRpuuOOO7R7924HVQcAAADYj6CfxtKlS1W9enXb7ZSUFH3++edavXq15s+frw8//FDjx4/P83qnTp2qxo0by9/fX8HBwbrnnnsyfaAwxmjy5MkqW7asfHx8FBERob1796Zrk5CQoBEjRqhUqVIqXry4evTooVOnTqVrc/HiRfXv319Wq1VWq1X9+/e36/cBAAAA4FwI+mm4ubmlu71p0yZ16tTJdrtFixb5+sGsdevW6cknn9TmzZu1YsUKJSUlqUOHDrpy5Yqtzauvvqo333xTM2bM0NatWxUaGqr27dsrLi7O1mbUqFFauHChFixYoA0bNujy5cvq1q2bkpOTbW369eunnTt3atmyZVq2bJl27typ/v3757lmAAAA3NpcftSdtFJSUtLdXrt2rfr165dumqenZ57Xu2zZsnS3Z8+ereDgYG3fvl2tW7eWMUZvvfWWnnvuOfXq1UuSNHfuXIWEhOiLL77QkCFDFBMTo08++USfffaZ2rVrJ0n6/PPPFRYWppUrV6pjx47av3+/li1bps2bN6tp06aSpFmzZql58+Y6cOBAum8rAAAA4Nw4o5+Gn5+fzpw5I+nfrjR//PGHKlWqlK7N5cuXC7ydmJgYSVJgYKAk6ejRo4qKilKHDh1sbby8vBQeHq6NGzdKkrZv367ExMR0bcqWLas6derY2mzatElWq9UW8iWpWbNmslqttjYZJSQkKDY2Nt0fAAAAbn2c0U/jhRde0D333KPOnTtrx44devzxx9PN379/v6pVq1agbRhjNGbMGN11112qU6eOJCkqKkqSFBISkq5tSEiIjh8/bmvj6empkiVLZmqTunxUVJSCg4MzbTM4ONjWJqOpU6fqxRdfLNB9AgAAwM2HoJ9G06ZNtWjRIv3222/q06ePatWqlW7+pUuX9PzzzxdoG8OHD9euXbu0YcOGTPMsFku628aYTNMyytgmq/Y5rWfixIkaM2aM7XZsbKzCwsJy3CYAAABufgT9DEJCQtSjR48s5zVv3rxA6x4xYoQWLVqk9evX67bbbrNNDw0NlfTvGfkyZcrYpkdHR9vO8oeGhur69eu6ePFiurP60dHRatGiha3N2bNnM2333Llzmb4tSOXl5SUvL68C3S8AAADcfOijXwSMMRo+fLi+//57rV69OlO//0qVKik0NFQrVqywTbt+/brWrVtnC/ENGzaUh4dHujZnzpzRnj17bG2aN2+umJgYbdmyxdbmt99+U0xMjK0NAAAAXANn9NP4/fff7Wp355135mm9Tz75pL744gv93//9n/z9/W395a1Wq3x8fGSxWDRq1ChNmTJFVatWVdWqVTVlyhT5+vraRv2xWq0aOHCgxo4dq6CgIAUGBmrcuHGqW7eubRSemjVrqlOnTho0aJA+/PBDSdLgwYPVrVs3RtwBAABwMQT9NN59991M01JSUnTu3Dlt2rRJrVu3VlBQkD799NM8rXfmzJmSpIiIiHTTZ8+erUceeUSSNH78eMXHx+uJJ57QxYsX1bRpUy1fvlz+/v629tOnT5e7u7v69Omj+Ph4tW3bVnPmzEk3/v/8+fM1cuRI2+g8PXr00IwZM/JULwAAAG59FmOMcXQRt4LY2FiNGDFC//3vf1W+fHlHl3PDxMbGymq1KiYmRgEBAY4up0hVfGaxo0tAETo2raujS0ARYv92La64f7vy+zeyRx99OwUEBOh///ufJk+e7OhSAAAAgFwR9PMgLCxMx44dc3QZAAAAQK4I+nlETycAAADcCgj6ebB48WJVrlzZ0WUAAAAAuWLUnTRGjBiR5S/IXrt2TQcOHFBQUJDmzZvngMoAAACAvCHop3HfffdlmmaxWOTt7a0qVaooMDDQAVUBAAAAeUfQTyM8PNzRJQAAAACFgj76AAAAgBNy+aCfkpKiQYMG6fLlyzm2i42N1YABA5ScnFxElQEAAAD55/JB/8svv1TVqlXl5+eXY7uAgADVrl1bc+fOLaLKAAAAgPxz+aD/1VdfaciQIXa1HTx4sL7++usbXBEAAABQcC4f9C9fviyr1WpX2xIlSig+Pv4GVwQAAAAUnMsH/bxyc3NzdAkAAABArlw+6CclJd3Q9gAAAIAjuHzQDwkJ0fHjx+1qe/ToUQUHB9/gigAAAICCc/mgP3LkSD3zzDN2tZ04caJGjhx5gysCAAAACs7lg36rVq1Uu3ZtPfLIIzp//nyWbf755x899NBDqlmzplq3bl3EFQIAAAB55+7oAm4G//nPf/T999+rQ4cOKl26tGrVqiV/f3/FxcVpz549On/+vJ599ln17t3b0aUCAAAAdiHo//969eqlXr166a+//tK+ffsUGxurgIAAPfHEE6pSpYqjywMAAADyhKCfQeXKlVW5cmVHlwEAAAAUiMv30QcAAACcEUEfAAAAcEIEfQAAAMAJEfQBAAAAJ0TQBwAAAJyQSwf9jRs3OroEAAAA4IZw6aD//PPPp7vdv39/B1UCAAAAFC6XDvrJycnpbp86dcpBlQAAAACFy6V/MKtbt256+OGH1b9/fwUGBury5cv6/fffc13uzjvvLILqAAAAgPxz6aA/btw4rVmzRitWrNDZs2f1999/a8aMGTLGZLuMxWLRp59+WoRVAgAAAHnn0kFfktq0aaM2bdrY/k+IBwAAgDNw6T76Gc2ePdvRJQAAAACFwqWDfo8ePdLd/vXXXx1UCQAAAFC4XDroX716Nd3tTz75xEGVAAAAAIXLpYN+UFCQVq5c6egyAAAAgELn0hfjzpgxQ+PGjdMzzzyjxMREHTlyRPXq1cu2vTFGFotFu3btKsIqAQAAgLxz6aBfunRpzZ0713a7TZs2WrNmjQMrAgAAAAqHS3fdySgyMtLRJQAAAACFgqCfxtChQx1dAgAAAFAoCPpZuHLlis6cOaPLly87uhQAAAAgX1y6j35ax44d0yuvvKKVK1eqePHi8vf3V2xsrOLj49WuXTs9/fTTqlSpkqPLBAAAAOzCGX1JP/zwg+699161b99e+/fv186dO/XLL7/ojz/+0L59+9S2bVv16tVL//d//+foUgEAAAC7uPwZ/X379un111/X+vXr5e/vn2m+u7u7evfurfbt26tz586qWrWqatWq5YBKAQAAAPu5/Bn9qVOn6r333ssy5KcVEBCg9957T1OmTCmiygAAAID8c/mgf/z4cdWvX9+utg0aNNCJEyfyvI3169ere/fuKlu2rCwWi3744Yd08x955BFZLJZ0f82aNUvXJiEhQSNGjFCpUqVUvHhx9ejRQ6dOnUrX5uLFi+rfv7+sVqusVqv69++vS5cu5bleAAAA3PpcPui7u+et91Je20v/juJTv359zZgxI9s2nTp10pkzZ2x/S5YsSTd/1KhRWrhwoRYsWKANGzbo8uXL6tatm5KTk21t+vXrp507d2rZsmVatmyZdu7cqf79++e5XgAAANz6XL6PftqgbI+kpKQ8b6Nz587q3Llzjm28vLwUGhqa5byYmBh98skn+uyzz9SuXTtJ0ueff66wsDCtXLlSHTt21P79+7Vs2TJt3rxZTZs2lSTNmjVLzZs314EDB1S9evUs152QkKCEhATb7djY2DzfPwAAANx8XP6MfoUKFbRr1y672v7xxx+qUKHCDalj7dq1Cg4OVrVq1TRo0CBFR0fb5m3fvl2JiYnq0KGDbVrZsmVVp04dbdy4UZK0adMmWa1WW8iXpGbNmslqtdraZGXq1Km2rj5Wq1VhYWE34N4BAACgqLl80J84caKGDRumK1eu5NguLi5OTz75pJ599tlCr6Fz586aP3++Vq9erTfeeENbt27V3XffbTvTHhUVJU9PT5UsWTLdciEhIYqKirK1CQ4OzrTu4OBgW5usTJw4UTExMba/kydPFuI9AwAAgKO4fNCvWbOmxo0bp1atWumHH37I1JUnOTlZCxcuVHh4uMaOHauaNWsWeg2RkZHq2rWr6tSpo+7du2vp0qU6ePCgFi9enONyxhhZLBbb7bT/z65NRl5eXgoICEj3BwAAgFufy/fRl6R7771X9evX12uvvaann35a/v7+tl/GvXz5stq2batvvvlGlStXLpJ6ypQpowoVKujQoUOSpNDQUF2/fl0XL15Md1Y/OjpaLVq0sLU5e/ZspnWdO3dOISEhRVI3AAAAbh4E/f/f7bffrpkzZ0r6t5tObGys/P39HXKG+/z58zp58qTKlCkjSWrYsKE8PDy0YsUK9enTR5J05swZ7dmzR6+++qokqXnz5oqJidGWLVvUpEkTSdJvv/2mmJgY24cBAAAAuA6CfhZSz+gXlsuXL+vw4cO220ePHtXOnTsVGBiowMBATZ48Wb1791aZMmV07NgxPfvssypVqpTuvfdeSZLVatXAgQM1duxYBQUFKTAwUOPGjVPdunVto/DUrFlTnTp10qBBg/Thhx9KkgYPHqxu3bplO+IOAAAAnBdBvwhs27ZNbdq0sd0eM2aMJGnAgAGaOXOmdu/erXnz5unSpUsqU6aM2rRpo6+++irdh43p06fL3d1dffr0UXx8vNq2bas5c+bIzc3N1mb+/PkaOXKkbXSeHj165Dh2PwAAAJyXxRhjHF0Ebh6xsbGyWq2KiYlxuQtzKz6T88XPcC7HpnV1dAkoQuzfrsUV929Xfv9G9lx+1B0AAADAGRH0AQAAACdE0AcAAACcEEEfAAAAcEIEfQAAAMAJufTwmi+++KIsFkuel3vhhRduQDUAAABA4XHpM/p16tRR7dq10/0ZY7Ry5Uq5ubmpcuXKuv322+Xm5qYVK1ZIkmrXru3gqgEAAIDcufQZ/d69e6e7vWHDBi1fvlzr1q3LdKb/2Wef1dChQ9W2bduiLBEAAADIF5cO+hn997//1ffff59ldx6LxaI33nhDvXr10vLlyx1QHQAAAGA/l+66k9HVq1dVvHjxbOf7+fkpPj6+CCsCAAAA8oegn0ZycrIuX76c7fzLly8rKSmpCCsCAAAA8oegn8bIkSM1bNgwGWMyzTPGaNiwYXrqqaccUBkAAACQN/TRT+OBBx5QTEyMWrdurc6dO6tSpUqSpCNHjmjZsmV6+OGH9cADDzi4SgAAACB3BP0MhgwZor59+2rFihU6fPiwJKlGjRoaOXKk/P39HVwdAAAAYB+CfhYCAgIyDb0JAAAA3Eroow8AAAA4Ic7oZ5CSkqL58+dr69atun79uj744APbvD/++ENhYWEKDAx0YIUAAABA7jijn8bJkyfVrFkz/fPPP3rwwQe1b9++dPMPHz6sjz/+2EHVAQAAAPYj6Kcxfvx4vf322xo9erSaNm0qd/f0X3j07NlTq1atclB1AAAAgP0I+mkcPXpUzZs3z3a+u7u7kpOTi7AiAAAAIH8I+ml4eHjk2oZfxgUAAMCtgKCfhjFGiYmJ2c6Pj48n6AMAAOCWQNBP4/7779dbb72V7fxp06bxy7gAAAC4JRD00xg5cqSOHj2qhx9+WN9++61iY2O1adMmffnll+rVq5eioqI0fPhwR5cJAAAA5Ipx9NOwWCx6//33tXv3bi1ZskRNmjTR3LlzVb58eb3wwgtq0KCBo0sEAAAA7ELQz0LdunVVt25dR5cBAAAA5BtddwAAAAAnxBn9NEaMGCGLxZLtfIvFIm9vb5UuXVpNmjRR69ati7A6AAAAwH6c0U/jvvvuU4kSJfTHH3+oatWqateundq1a6eqVavqzz//VFBQkNq3b6+wsDB9++23atu2ra5cueLosgEAAIBMOKOfRkxMjAICArRu3bpM80aMGKHp06fLGKPIyEhFRkbqm2++0SuvvKKXXnrJAdUCAAAA2eOMfhoffPCBxo0bl+380aNH67333rPd7t27t9auXVsElQEAAAB5Q9BP4/r167m2SdtVp1ixYjn26QcAAAAchaCfRnx8fI5hPyEhQfHx8emmEfQBAABwMyLop/HII4/o8ccf19WrVzPNu3r1qoYOHaqHH37YNu3cuXNyd+cyBwAAANx8SKlpDBo0SPHx8apbt65atWqlihUrSpKOHTumX3/9VU899ZQGDx5sa79r1650twEAAICbBUE/g5EjR2ro0KHaunWrTp48KUlq3769PvroI3l6eqZr27ZtW0eUCAAAAOSKoJ/G22+/raeeekqenp5q2bKlo8sBAAAA8o0++mksXLjQ0SUAAAAAhYKgn4afn5+jSwAAAAAKBUE/jbvuuku//vqro8sAAAAACoygn8bTTz+tRYsW6csvv1RMTIyjywEAAADyjYtx02jQoIEk6ZtvvtFzzz0nb2/vdOPkG2NksVi0a9cuB1UIAAAA2Iegn8bu3bsdXQIAAABQKOi6UwTWr1+v7t27q2zZsrJYLPrhhx/SzTfGaPLkySpbtqx8fHwUERGhvXv3pmuTkJCgESNGqFSpUipevLh69OihU6dOpWtz8eJF9e/fX1arVVarVf3799elS5du8L0DAADAzYigXwSuXLmi+vXra8aMGVnOf/XVV/Xmm29qxowZ2rp1q0JDQ9W+fXvFxcXZ2owaNUoLFy7UggULtGHDBl2+fFndunVTcnKyrU2/fv20c+dOLVu2TMuWLdPOnTvVv3//G37/AAAAcPOh6042kpKSdPnyZaWkpGSaFxgYmKd1de7cWZ07d85ynjFGb731lp577jn16tVLkjR37lyFhIToiy++0JAhQxQTE6NPPvlEn332mdq1aydJ+vzzzxUWFqaVK1eqY8eO2r9/v5YtW6bNmzeradOmkqRZs2apefPmOnDggKpXr56nmgEAAHBr44x+Bu+//766deum0NBQ9ejRQw0aNFBwcLA6dOig++67T/fdd1+hbu/o0aOKiopShw4dbNO8vLwUHh6ujRs3SpK2b9+uxMTEdG3Kli2rOnXq2Nps2rRJVqvVFvIlqVmzZrJarbY2WUlISFBsbGy6PwAAANz6CPppfP7554qNjdVPP/2kunXrav369Tpx4oT27dunLl26qFOnTlq1alWhbjMqKkqSFBISkm56SEiIbV5UVJQ8PT1VsmTJHNsEBwdnWn9wcLCtTVamTp1q69NvtVoVFhZWoPsDAACAmwNBP405c+bo6aefliQVK/b/Hppq1arppZdeUvXq1fXKK6/ckG1bLJZ0t1OH8sxJxjZZtc9tPRMnTlRMTIzt7+TJk3msHAAAADcjgn4a165dk5ubmyTZ/k2rZ8+eWrNmTaFuMzQ0VJIynXWPjo62neUPDQ3V9evXdfHixRzbnD17NtP6z507l+nbgrS8vLwUEBCQ7g8AAAC3PoJ+GmnDvY+Pj65evZqpzfXr1wt1m5UqVVJoaKhWrFiRbhvr1q1TixYtJEkNGzaUh4dHujZnzpzRnj17bG2aN2+umJgYbdmyxdbmt99+U0xMjK0NAAAAXAej7qTh7+9v6+rStWtXffLJJxoxYoRt/unTp/O13suXL+vw4cO220ePHtXOnTsVGBio8uXLa9SoUZoyZYqqVq2qqlWrasqUKfL19VW/fv0kSVarVQMHDtTYsWMVFBSkwMBAjRs3TnXr1rWNwlOzZk116tRJgwYN0ocffihJGjx4sLp168aIOwAAAC6IoJ/GPffco6VLl6pLly4aOHCgevTood27d6tly5a6cOGCPvvsM73zzjt5Xu+2bdvUpk0b2+0xY8ZIkgYMGKA5c+Zo/Pjxio+P1xNPPKGLFy+qadOmWr58ufz9/W3LTJ8+Xe7u7urTp4/i4+PVtm1bzZkzJ923EPPnz9fIkSNto/P06NEj27H7AQAA4Nwsxhjj6CJuFsnJyTp37pyt37wkLVmyRLt27VJISIg6duyosmXLOrDCGy82NlZWq1UxMTEu11+/4jOLHV0CitCxaV0dXQKKEPu3a3HF/duV37+RPc7op+Hm5pYu5EtSly5d1KVLFwdVBAAAAOQPF+MCAAAATogz+tlISUlRTEyMsurZFBgY6ICKAAAAAPsR9NMwxuidd97R/Pnz5enpKQ8Pj0xtLBaLVq9e7YDqAAAAAPsR9NOYOHGivLy8tGnTpix/MAsAAAC4VRD00/j555+1Y8cOR5cBAAAAFBgX46ZB33sAAAA4C4J+Gt7e3kpKSnJ0GQAAAECBEfTTGDNmjP73v/85ugwAAACgwFy6j/6bb76ZadqePXvUokULtWnTRoGBgbJYLJnajBkzpijKAwAAAPLNpYN+UFBQpmndu3d3QCUAAABA4XLpoD9gwABHlwAAAADcEPTRBwAAAJwQQV/SCy+8oMuXL+fYJjY2Vs8880wRVQQAAAAUjMsH/UWLFikxMVF+fn45tgsICJAkfffdd0VRFgAAAFAgLh/0P/vsM40aNcqutqNGjdLcuXNvbEEAAABAIXD5oH/+/HmFhITY1TY0NFQxMTE3uCIAAACg4Fw+6OeVm5ubo0sAAAAAcuXyQT85OfmGtgcAAAAcweWDfkBAgM6dO2dX2+jo6Fwv2gUAAABuBi4f9AcPHqz//ve/drX973//q8GDB9/gigAAAICCc/mg3717d127dk2TJk3KtltOUlKSnnvuOV29elU9e/Ys4goBAACAvHN3dAE3g48++kjTp09XgwYN1LJlS9WqVUv+/v6Ki4vTnj17tHHjRj322GN6+eWXHV0qAAAAYBeXP6OfavTo0dq6davuv/9+WSwWnT59WhaLRX369NG2bds0ZswYR5cIAAAA2I0z+ml4e3urbdu2atu2raNLAQAAAAqEM/oAAACAEyLoAwAAAE6IoA8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAwAAAE6IoA8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgv5NYvLkybJYLOn+QkNDbfONMZo8ebLKli0rHx8fRUREaO/evenWkZCQoBEjRqhUqVIqXry4evTooVOnThX1XQEAAMBNgKB/E6ldu7bOnDlj+9u9e7dt3quvvqo333xTM2bM0NatWxUaGqr27dsrLi7O1mbUqFFauHChFixYoA0bNujy5cvq1q2bkpOTHXF3AAAA4EDuji4A/4+7u3u6s/ipjDF666239Nxzz6lXr16SpLlz5yokJERffPGFhgwZopiYGH3yySf67LPP1K5dO0nS559/rrCwMK1cuVIdO3Ys0vsCAAAAx+KM/k3k0KFDKlu2rCpVqqQHHnhAR44ckSQdPXpUUVFR6tChg62tl5eXwsPDtXHjRknS9u3blZiYmK5N2bJlVadOHVubrCQkJCg2NjbdHwAAAG59BP2bRNOmTTVv3jz9/PPPmjVrlqKiotSiRQudP39eUVFRkqSQkJB0y4SEhNjmRUVFydPTUyVLlsy2TVamTp0qq9Vq+wsLCyvkewYAAABHIOjfJDp37qzevXurbt26ateunRYvXizp3y46qSwWS7pljDGZpmWUW5uJEycqJibG9nfy5MkC3AsAAADcLAj6N6nixYurbt26OnTokK3ffsYz89HR0baz/KGhobp+/bouXryYbZuseHl5KSAgIN0fAAAAbn0E/ZtUQkKC9u/frzJlyqhSpUoKDQ3VihUrbPOvX7+udevWqUWLFpKkhg0bysPDI12bM2fOaM+ePbY2AAAAcB2MunOTGDdunLp3767y5csrOjpa//vf/xQbG6sBAwbIYrFo1KhRmjJliqpWraqqVatqypQp8vX1Vb9+/SRJVqtVAwcO1NixYxUUFKTAwECNGzfO1hUIAAAAroWgf5M4deqU+vbtq3/++UelS5dWs2bNtHnzZlWoUEGSNH78eMXHx+uJJ57QxYsX1bRpUy1fvlz+/v62dUyfPl3u7u7q06eP4uPj1bZtW82ZM0dubm6OulsAAABwEIsxxji6CNw8YmNjZbVaFRMT43L99Ss+s9jRJaAIHZvW1dEloAixf7sWV9y/Xfn9G9mjjz4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAwAAAE6IoA8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAwAAAE6IoA8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAwAAAE6IoA8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAwAAAE6IoO+E3n//fVWqVEne3t5q2LChfvnlF0eXBAAAgCJG0HcyX331lUaNGqXnnntOO3bsUKtWrdS5c2edOHHC0aUBAACgCBH0ncybb76pgQMH6vHHH1fNmjX11ltvKSwsTDNnznR0aQAAAChC7o4uAIXn+vXr2r59u5555pl00zt06KCNGzdmuUxCQoISEhJst2NiYiRJsbGxN67Qm1RKwlVHl4Ai5IqvcVfG/u1aXHH/Tr3PxhgHV4KbCUHfifzzzz9KTk5WSEhIuukhISGKiorKcpmpU6fqxRdfzDQ9LCzshtQI3Cysbzm6AgA3iivv33FxcbJarY4uAzcJgr4Tslgs6W4bYzJNSzVx4kSNGTPGdjslJUUXLlxQUFBQtsvAecTGxiosLEwnT55UQECAo8sBUIjYv12LMUZxcXEqW7aso0vBTYSg70RKlSolNze3TGfvo6OjM53lT+Xl5SUvL69000qUKHGjSsRNKiAggCAAOCn2b9fBmXxkxMW4TsTT01MNGzbUihUr0k1fsWKFWrRo4aCqAAAA4Aic0XcyY8aMUf/+/dWoUSM1b95cH330kU6cOKGhQ4c6ujQAAAAUIYK+k4mMjNT58+f10ksv6cyZM6pTp46WLFmiChUqOLo03IS8vLw0adKkTN23ANz62L8BWAzjMAEAAABOhz76AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAAACAEyLoAy5k7ty5Wrx4se32+PHjVaJECbVo0ULHjx93YGUACor9G0BGBH3AhUyZMkU+Pj6SpE2bNmnGjBl69dVXVapUKY0ePdrB1QEoCPZvABkxjj7gQnx9ffXnn3+qfPnymjBhgs6cOaN58+Zp7969ioiI0Llz5xxdIoB8Yv8GkBFn9AEX4ufnp/Pnz0uSli9frnbt2kmSvL29FR8f78jSABQQ+zeAjNwdXQCAotO+fXs9/vjjuuOOO3Tw4EF17dpVkrR3715VrFjRscUBKBD2bwAZcUYfcCHvvfeemjdvrnPnzum7775TUFCQJGn79u3q27evg6sDUBDs3wAyoo8+AAAA4ITougO4mEuXLmnLli2Kjo5WSkqKbbrFYlH//v0dWBmAgmL/BpAWZ/QBF/Ljjz/qwQcf1JUrV+Tv7y+LxWKbZ7FYdOHCBQdWB6Ag2L8BZETQB1xItWrV1KVLF02ZMkW+vr6OLgdAIWL/BpARQR9wIcWLF9fu3bt1++23O7oUAIWM/RtARoy6A7iQjh07atu2bY4uA8ANwP4NICMuxgWc3KJFi2z/79q1q55++mnt27dPdevWlYeHR7q2PXr0KOryABQA+zeAnNB1B3ByxYrZ98WdxWJRcnLyDa4GQGFi/waQE4I+AAAA4IToow+4kHnz5ikhISHT9OvXr2vevHkOqAhAYWH/BpARZ/QBF+Lm5qYzZ84oODg43fTz588rODiYr/aBWxj7N4CMOKMPuBBjTLof0Ul16tQpWa1WB1QEoLCwfwPIiFF3ABdwxx13yGKxyGKxqG3btnJ3/3+7fnJyso4ePapOnTo5sEIA+cX+DSA7BH3ABdxzzz2SpJ07d6pjx47y8/OzzfP09FTFihXVu3dvB1UHoCDYvwFkhz76gAuZO3euIiMj5e3t7ehSABQy9m8AGRH0ARd0/fp1RUdHKyUlJd308uXLO6giAIWF/RtAKrruAC7k0KFDeuyxx7Rx48Z001Mv4mNUDuDWxf4NICOCPuBCHnnkEbm7u+unn35SmTJlshyhA8Ctif0bQEZ03QFcSPHixbV9+3bVqFHD0aUAKGTs3wAyYhx9wIXUqlVL//zzj6PLAHADsH8DyIigD7iQV155RePHj9fatWt1/vx5xcbGpvsDcOti/waQEV13ABdSrNi/n+0z9t3lYj3g1sf+DSAjLsYFXMiaNWscXQKAG4T9G0BGnNEHAAAAnBBn9AEXc+nSJX3yySfav3+/LBaLatWqpccee0xWq9XRpQEoIPZvAGlxRh9wIdu2bVPHjh3l4+OjJk2ayBijbdu2KT4+XsuXL9edd97p6BIB5BP7N4CMCPqAC2nVqpWqVKmiWbNmyd393y/0kpKS9Pjjj+vIkSNav369gysEkF/s3wAyIugDLsTHx0c7duzI9IM6+/btU6NGjXT16lUHVQagoNi/AWTEOPqACwkICNCJEycyTT958qT8/f0dUBGAwsL+DSAjgj7gQiIjIzVw4EB99dVXOnnypE6dOqUFCxbo8ccfV9++fR1dHoACYP8GkBGj7gAu5PXXX5fFYtHDDz+spKQkSZKHh4eGDRumadOmObg6AAXB/g0gI/roAy7o6tWr+uuvv2SMUZUqVeTr6+vokgAUEvZvAKkI+gAAAIATousO4EKuXbumd999V2vWrFF0dLRSUlLSzf/9998dVBmAgmL/BpARQR9wIY899phWrFih++67T02aNJHFYnF0SQAKCfs3gIzougO4EKvVqiVLlqhly5aOLgVAIWP/BpARw2sCLqRcuXKMpw04KfZvABkR9AEX8sYbb2jChAk6fvy4o0sBUMjYvwFkRB99wIU0atRI165d0+233y5fX195eHikm3/hwgUHVQagoNi/AWRE0AdcSN++ffX3339rypQpCgkJ4WI9wImwfwPIiItxARfi6+urTZs2qX79+o4uBUAhY/8GkBF99AEXUqNGDcXHxzu6DAA3APs3gIwI+oALmTZtmsaOHau1a9fq/Pnzio2NTfcH4NbF/g0gI7ruAC6kWLF/P9tn7LtrjJHFYlFycrIjygJQCNi/AWTExbiAC1mzZo2jSwBwg7B/A8iIM/oAAACAE6KPPgAAAOCECPoAAACAEyLoAwAAAE6IoA8AAAA4IYI+4KISEhL0119/KSEhwdGlACgkycnJOnv2rKKjoxlOEwBBH3AFc+bM0ebNmyVJ165d0+OPP67ixYurWrVq8vPz09ChQwn8wC1s4cKFatmypXx9fVW2bFmVKVNGvr6+atmypX744QdHlwfAQQj6gAt4+eWX5e7+789mPP/881q1apW++eYb7d27V99++63WrFmj559/3sFVAsiPDz/8UA888IDq1aunr776Shs2bNAvv/yir776SvXq1dMDDzygWbNmObpMAA7AOPqAC/D29tbBgwdVvnx5Va9eXW+//bY6depkm79+/Xr1799fx48fd2CVAPKjSpUqmjhxogYOHJjl/E8//VQvv/yy/vrrryKuDICjcUYfcAGhoaG2N/krV66oVKlS6eaXLl1a58+fd0RpAAro77//1l133ZXt/BYtWuj06dNFWBGAmwVBH3ABDz74oJ577jldunRJ/fv310svvaTLly9Lkq5evarJkyerZcuWDq4SQH7Url1bH330UbbzZ82apdq1axdhRQBuFnTdAVzA9evXdf/99+uXX35Ro0aN9Msvv6hYsWIqV66cTp8+raCgIK1YsULVqlVzdKkA8mjdunXq2rWrKlSooA4dOigkJEQWi0VRUVFasWKFjh8/riVLlqhVq1aOLhVAESPoAy5k2bJl+vHHH3XkyBGlpKSoTJkyatmypfr166fixYs7ujwA+XTs2DHNnDlTmzdvVlRUlKR/u+w1b95cQ4cOVcWKFR1bIACHIOgDAAAATsjd0QUAcBxjjIwxKlaMy3UAZ3Lo0CGdOHFCFSpUUJUqVRxdDgAH4d0dcAFJSUn6z3/+o/DwcE2aNEmS9Nprr8nPz08+Pj4aMGCArl+/7uAqAeTHtGnTtHr1aknSxYsX1bZtW1WvXl3t27dX9erV1blzZ126dMmxRQJwCII+4AJefPFFffzxx2rUqJG+/fZbDRs2TO+++64++ugjffzxx1q9erXeeustR5cJIB9mzpxpGzJ3/PjxunjxorZv366rV6/q999/16VLlzRu3DgHVwnAEeijD7iAypUr6+2331a3bt10+PBhVa9eXV988YUiIyMlSd98841eeukl7d6928GVAsgrb29vHThwQBUqVFClSpU0d+5ctW7d2jZ/+/bt6t69O2PpAy6IM/qACzh9+rTq168v6d9f0fT09LTdlqRGjRrxq7jALapChQras2ePJMliscjdPf3ld25ubrpy5YojSgPgYAR9wAVYrdZ0fXTvvPNO+fv7224nJCTIYrE4oDIABTVo0CA9/fTTOnz4sIYPH65x48bZfgn76NGjGj16tDp06ODgKgE4AqPuAC6gVq1a+v3331W3bl1J0q+//ppu/u7du1W1alVHlAaggMaNG6cTJ06oVq1aqly5so4dO6Zq1arJ3d1dSUlJuvPOO/Xll186ukwADkAffcAFHDx4UB4eHqpUqVKW87/44gu5u7urT58+RVwZgMKyf/9+/fTTT5l+EK9du3Z8Ywe4KII+AAAA4IToow8AAAA4IYI+AAAA4IQI+gAAAIATIugDAAAAToigDwAAADghgj4AAADghAj6AAAAgBMi6AMAAABOiKAPAAAAOCGCPgAAAOCECPoAUAARERH6559/HF1Ggbz//vuOLgEAcAMQ9AHAxRH0AcA5EfQBAAAAJ0TQB4AicOzYMUVGRuquu+5S69at1a5dO23atClTu7///ltjxoxRRESEwsPD1bx5c0VGRmr//v2Z2q5du1bDhw/X4cOH9fDDD6tNmzZq3bq1nnjiCV25ciXXmg4fPqyIiAgdPXpUERERtr+jR4/a2qSkpOitt95Sy5Yt1bJlSzVp0kSRkZE6ceJEpvXVqVNHSUlJmjp1qrp27arWrVtr+vTptnmJiYmaPHmymjdvrlatWqlt27bauXOnJGnDhg3q0qWLWrVqpRYtWujll1+WMcbehxcAkBUDAMi38PBwc+7cuRzbnDt3ztSrV89s3rzZNu3YsWOmUaNGZuvWrenarly50hw6dCjdtFOnTplu3bqZU6dOpZu+Zs0a06tXLzNw4EBz+vRp2/Qvv/zS9OvXz+77ULt27WznDR061EybNs1cu3bNNu3XX381jRo1MomJiZnWM27cOLN+/fostzF48GAzf/58k5KSYowx5uDBg6ZBgwZmzZo15tFHHzXR0dHGGGOSk5PNQw89ZObPn2/3fQAAZMYZfQC4waZNm6YhQ4aoadOmtmkVKlTQO++8o/Hjx6dr27ZtW1WpUiXdtHLlyumZZ57RvHnzMq17w4YNmjFjhsqUKWOb9sADD+jAgQO6evVqgeretWuX4uLiNGHCBHl5edmmt2jRQg888IDmz5+frv2VK1dUv359tWrVKtO6rly5oqZNm6pfv36yWCySpKpVq+qOO+7Q//73P33yyScqXbq0JKlYsWIaM2aMFi1aVKD6AcDVuTu6AABwdosXL9bvv/+eaXrz5s11/vx5xcXFyd/f3zb9xIkTevfdd7Vz506lpKQoOTlZ165dU+XKlTOtIzw8XN7e3pmmV65cWUePHlXt2rXzXfeSJUvUo0ePLOe1bNlS8+fP14ABA9JN79q1a7br6927d6Zpt99+u6pUqWIL/2mnnzp1Kh9VAwBSEfQB4AZLTEyUj49PlvMqVaqkEydO2AL5vn37NGDAAE2fPl2vvPKKihX794vXw4cPa8yYMZmWL1WqVJbr9fHx0bVr1wpU9/Hjx/X1119nOSpPUlKSatWqlW6al5eXSpYsmW09Vqs103Rvb28FBgZmmu7l5aWEhIR8Vg4AkAj6AOBQJsMFp5MmTdL06dN11113pZt+/PhxpaSkZFo+9YOAPevOq5SUFL377rtq2bKlXe3d3bN/S8mpzuzmFbR+AHB19NEHgBvMy8sr27Prx44dU/ny5W239+3bp2bNmmVqt3r16htWX3bKly+vY8eOFfl2AQCFg6APADdY586dNWfOnEzTf/vtNwUFBaXrn1+qVCnFxsama3ft2jUdPnz4htWXlJSU5fQuXbro22+/vWHbBQDcWAR9ALjBxo8fr5kzZ2rr1q22aSdPntTIkSP16quvpmvbu3dvvfDCC7bwHR8fr6eeekqPPfbYDauvVq1aWX4QueOOO1SqVCk9//zz6UbwSUxM1LfffqsdO3bcsJoAAAVHH30AKKCePXvKw8Mj0/SBAweqf//+Cg4O1sKFCzVhwgSdOXNGxYoVk5eXl6ZPn65GjRqlW+bJJ5/UlClT1KpVK/n4+MjPz0/jxo1L172nsM2cOVOjR4/WRx99JE9PT82ePVuVKlWSJH344Yd677331L59e7m5ucnd3V1ubm5q27atIiIiblhNAICCsxiudgIAAACcDl13AAAAACdE0AcAAACcEEEfAAAAcEIEfQAAAMAJEfQBAAAAJ0TQBwAAAJwQQR8AAABwQgR9AAAAwAkR9AEAAAAnRNAHAAAAnBBBHwAAAHBCBH0AAADACf1/bl8pE8543EgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('term').agg(count = ('loan_status','count')).plot.bar()\n",
    "plt.title('Charged off customers across different terms of Loan',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Loan term',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "id": "20cdfbbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('delinq_2yrs').agg(count = ('loan_status','count')).plot.bar()\n",
    "plt.title('Charged Off Customers across delinquent customers',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Count of delinquency',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d751430a",
   "metadata": {},
   "source": [
    "# Derived Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dab412b",
   "metadata": {},
   "source": [
    "### Converting emp_length from  string to integer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "id": "6dd856be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['emp_length'] = df['emp_length'].apply(lambda x: (((str(x).replace('years','')).replace('< 1 year','0')).replace('10+','10')).replace('year',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "id": "c2e750cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['emp_length'] = df['emp_length'].apply(lambda x : str(x).replace('nan','-1'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "id": "c66900b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['emp_length'] = df['emp_length'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "52a453dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5627 entries, 1 to 39688\n",
      "Data columns (total 16 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   addr_state           5627 non-null   object \n",
      " 1   emp_length           5627 non-null   int64  \n",
      " 2   annual_inc           5627 non-null   float64\n",
      " 3   issue_d              5627 non-null   object \n",
      " 4   purpose              5627 non-null   object \n",
      " 5   verification_status  5627 non-null   object \n",
      " 6   grade                5627 non-null   object \n",
      " 7   sub_grade            5627 non-null   object \n",
      " 8   loan_status          5627 non-null   object \n",
      " 9   term                 5627 non-null   object \n",
      " 10  funded_amnt          5627 non-null   int64  \n",
      " 11  int_rate             5627 non-null   object \n",
      " 12  inq_last_6mths       5627 non-null   int64  \n",
      " 13  delinq_2yrs          5627 non-null   int64  \n",
      " 14  total_rec_late_fee   5627 non-null   float64\n",
      " 15  recoveries           5627 non-null   float64\n",
      "dtypes: float64(3), int64(4), object(9)\n",
      "memory usage: 747.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "5b66e2ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['emp_exp'] = ['no experience' if x == 0 else 'beginner' if x>0 and x<=3 else 'intermediate' if x>3 and x<=8 else 'expert' if x>8 else 'undetermind experience' for x in df['emp_length']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "id": "aaaeff4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1        no experience\n",
       "8         intermediate\n",
       "9        no experience\n",
       "12       no experience\n",
       "14            beginner\n",
       "             ...      \n",
       "39667    no experience\n",
       "39668    no experience\n",
       "39669           expert\n",
       "39678         beginner\n",
       "39688     intermediate\n",
       "Name: emp_exp, Length: 5627, dtype: object"
      ]
     },
     "execution_count": 361,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['emp_exp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "id": "68bf3eb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(['emp_exp'])['loan_status'].count().plot.bar()\n",
    "plt.title('Charged Off Customers across their Work Experience',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.ylabel('Charged Off Customers',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Categorised Work Experience',fontdict = {'fontsize':13,'fontweight':5,'color':'black'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "id": "8bdabcef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['term'],df['verification_status'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37dcf8fb",
   "metadata": {},
   "source": [
    "# Estabilishing Correlation between Data for better analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "acafd532",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gaurav.chaudhary\\AppData\\Local\\Temp\\ipykernel_5448\\1134722465.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  df.corr()\n"
     ]
    },
    {
     "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>emp_length</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>funded_amnt</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>total_rec_late_fee</th>\n",
       "      <th>recoveries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>emp_length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.155780</td>\n",
       "      <td>0.206959</td>\n",
       "      <td>0.006990</td>\n",
       "      <td>0.009973</td>\n",
       "      <td>-0.019510</td>\n",
       "      <td>0.063512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>annual_inc</th>\n",
       "      <td>0.155780</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.347131</td>\n",
       "      <td>0.037303</td>\n",
       "      <td>0.021765</td>\n",
       "      <td>0.062817</td>\n",
       "      <td>0.134942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>funded_amnt</th>\n",
       "      <td>0.206959</td>\n",
       "      <td>0.347131</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007942</td>\n",
       "      <td>-0.027366</td>\n",
       "      <td>0.094089</td>\n",
       "      <td>0.316077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <td>0.006990</td>\n",
       "      <td>0.037303</td>\n",
       "      <td>0.007942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011454</td>\n",
       "      <td>0.017908</td>\n",
       "      <td>-0.014236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <td>0.009973</td>\n",
       "      <td>0.021765</td>\n",
       "      <td>-0.027366</td>\n",
       "      <td>-0.011454</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.029122</td>\n",
       "      <td>0.014393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_rec_late_fee</th>\n",
       "      <td>-0.019510</td>\n",
       "      <td>0.062817</td>\n",
       "      <td>0.094089</td>\n",
       "      <td>0.017908</td>\n",
       "      <td>0.029122</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.071332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>recoveries</th>\n",
       "      <td>0.063512</td>\n",
       "      <td>0.134942</td>\n",
       "      <td>0.316077</td>\n",
       "      <td>-0.014236</td>\n",
       "      <td>0.014393</td>\n",
       "      <td>0.071332</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    emp_length  annual_inc  funded_amnt  inq_last_6mths  \\\n",
       "emp_length            1.000000    0.155780     0.206959        0.006990   \n",
       "annual_inc            0.155780    1.000000     0.347131        0.037303   \n",
       "funded_amnt           0.206959    0.347131     1.000000        0.007942   \n",
       "inq_last_6mths        0.006990    0.037303     0.007942        1.000000   \n",
       "delinq_2yrs           0.009973    0.021765    -0.027366       -0.011454   \n",
       "total_rec_late_fee   -0.019510    0.062817     0.094089        0.017908   \n",
       "recoveries            0.063512    0.134942     0.316077       -0.014236   \n",
       "\n",
       "                    delinq_2yrs  total_rec_late_fee  recoveries  \n",
       "emp_length             0.009973           -0.019510    0.063512  \n",
       "annual_inc             0.021765            0.062817    0.134942  \n",
       "funded_amnt           -0.027366            0.094089    0.316077  \n",
       "inq_last_6mths        -0.011454            0.017908   -0.014236  \n",
       "delinq_2yrs            1.000000            0.029122    0.014393  \n",
       "total_rec_late_fee     0.029122            1.000000    0.071332  \n",
       "recoveries             0.014393            0.071332    1.000000  "
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "39cb38f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import scipy.stats as stats\n",
    "plt.scatter(df.funded_amnt,df.annual_inc)\n",
    "plt.title('Correlation between Funded Amount & Annual Income',fontdict = {'fontsize':20,'fontweight':5,'color':'black'})\n",
    "plt.xlabel('Funded Amount')\n",
    "plt.ylabel('Annual Income')\n",
    "r, p = stats.pearsonr(df.funded_amnt,df.annual_inc)\n",
    "plt.annotate('r = {:.2f}'.format(r), xy=(0.8, 0.8), xycoords='axes fraction')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e05e32a",
   "metadata": {},
   "source": [
    "# Heatmap Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "id": "14e81371",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['int_rate'] = df['int_rate'].apply(lambda x : str(x).replace('%','')) # removing percent sign from int_rate for analysis\n",
    "df['int_rate'] = df['int_rate'].astype('float')\n",
    "df['interest_bucket'] = pd.qcut(df.int_rate,(0,0.25,0.5,0.75,1),('L','M','H','VH')) # creating buckets for heat map analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "id": "484fcee8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1         H\n",
       "8        VH\n",
       "9         M\n",
       "12        M\n",
       "14        L\n",
       "         ..\n",
       "39667     M\n",
       "39668     L\n",
       "39669     H\n",
       "39678     L\n",
       "39688     M\n",
       "Name: interest_bucket, Length: 5627, dtype: category\n",
       "Categories (4, object): ['L' < 'M' < 'H' < 'VH']"
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['interest_bucket']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "id": "e77e3442",
   "metadata": {},
   "outputs": [],
   "source": [
    "heat_table = pd.pivot_table(data = df,index = 'purpose',columns = 'interest_bucket',values = 'loan_status',aggfunc = 'count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "956a1833",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.heatmap(heat_table, cmap = 'Greens',annot = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67b9e541",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4958438",
   "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",
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