Prediction of Loan Repayment (EDA).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Business Problem\n",
    "You work for a consumer finance company which specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. Two types of risks are associated with the bank’s decision:\n",
    "* If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company\n",
    "* If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company\n",
    "\n",
    "When a person applies for a loan, there are two types of decisions that could be taken by the company:\n",
    " **Loan accepted:** If the company approves the loan, there are 3 possible scenarios described below:\n",
    "\n",
    "* **Fully paid:** Applicant has fully paid the loan (the principal and the interest rate)\n",
    "* **Current:** Applicant is in the process of paying the instalments, i.e. the tenure of the loan is not yet completed. These candidates are not labelled as 'defaulted'.\n",
    "* **Charged-off:** Applicant has not paid the instalments in due time for a long period of time, i.e. he/she has defaulted on the loan\n",
    "\n",
    " **Loan rejected:** \n",
    "* The company had rejected the loan (because the candidate does not meet their requirements etc.). Since the loan was rejected, there is no transactional history of those applicants with the company and so this data is not available with the company (and thus in this dataset)\n",
    "\n",
    "# Business Objectives\n",
    "This company is the largest online loan marketplace, facilitating personal loans, business loans, and financing of medical procedures. Borrowers can easily access lower interest rate loans through a fast- online interface.\n",
    "Like most other lending companies, lending loans to ‘risky’ applicants is the largest source of financial loss (called credit loss). The credit loss is the amount of money lost by the lender when the borrower refuses to pay or runs away with the money owed. In other words, borrowers who default cause the largest amount of loss to the lenders. In this case, the customers labelled as 'charged-off' are the 'defaulters'.\n",
    "If one is able to identify these risky loan applicants, then such loans can be reduced thereby cutting down the amount of credit loss. Identification of such applicants using EDA is the aim of this case study.\n",
    "In other words, the company wants to understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default. The company can utilize this knowledge for its portfolio and risk assessment.\n",
    "\n",
    "# 2. Machine Learning Problem\n",
    "The data given below contains the information about past loan applicants and whether they ‘defaulted’ or not. The aim is to identify patterns which indicate if a person is likely to default, which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.\n",
    "\n",
    "In this case study, we will use **Exploratory Data Analysis(EDA)** to understand how consumer attributes and loan attributes influence the tendency of default.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Importing Libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1 Reading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2785: DtypeWarning: Columns (47) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv(\"loan.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>num_tl_90g_dpd_24m</th>\n",
       "      <th>num_tl_op_past_12m</th>\n",
       "      <th>pct_tl_nvr_dlq</th>\n",
       "      <th>percent_bc_gt_75</th>\n",
       "      <th>pub_rec_bankruptcies</th>\n",
       "      <th>tax_liens</th>\n",
       "      <th>tot_hi_cred_lim</th>\n",
       "      <th>total_bal_ex_mort</th>\n",
       "      <th>total_bc_limit</th>\n",
       "      <th>total_il_high_credit_limit</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>4975.00000</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>2500.00000</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>2400.00000</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>10000.00000</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>3000.00000</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1075269</td>\n",
       "      <td>1311441</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.90%</td>\n",
       "      <td>156.46</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1069639</td>\n",
       "      <td>1304742</td>\n",
       "      <td>7000</td>\n",
       "      <td>7000</td>\n",
       "      <td>7000.00000</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.96%</td>\n",
       "      <td>170.08</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1072053</td>\n",
       "      <td>1288686</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>18.64%</td>\n",
       "      <td>109.43</td>\n",
       "      <td>E</td>\n",
       "      <td>E1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1071795</td>\n",
       "      <td>1306957</td>\n",
       "      <td>5600</td>\n",
       "      <td>5600</td>\n",
       "      <td>5600.00000</td>\n",
       "      <td>60 months</td>\n",
       "      <td>21.28%</td>\n",
       "      <td>152.39</td>\n",
       "      <td>F</td>\n",
       "      <td>F2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1071570</td>\n",
       "      <td>1306721</td>\n",
       "      <td>5375</td>\n",
       "      <td>5375</td>\n",
       "      <td>5350.00000</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.69%</td>\n",
       "      <td>121.45</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1070078</td>\n",
       "      <td>1305201</td>\n",
       "      <td>6500</td>\n",
       "      <td>6500</td>\n",
       "      <td>6500.00000</td>\n",
       "      <td>60 months</td>\n",
       "      <td>14.65%</td>\n",
       "      <td>153.45</td>\n",
       "      <td>C</td>\n",
       "      <td>C3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1069908</td>\n",
       "      <td>1305008</td>\n",
       "      <td>12000</td>\n",
       "      <td>12000</td>\n",
       "      <td>12000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>12.69%</td>\n",
       "      <td>402.54</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1064687</td>\n",
       "      <td>1298717</td>\n",
       "      <td>9000</td>\n",
       "      <td>9000</td>\n",
       "      <td>9000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.49%</td>\n",
       "      <td>305.38</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1069866</td>\n",
       "      <td>1304956</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.91%</td>\n",
       "      <td>96.68</td>\n",
       "      <td>B</td>\n",
       "      <td>B1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1069057</td>\n",
       "      <td>1303503</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.65%</td>\n",
       "      <td>325.74</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1069759</td>\n",
       "      <td>1304871</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>16.29%</td>\n",
       "      <td>35.31</td>\n",
       "      <td>D</td>\n",
       "      <td>D1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1065775</td>\n",
       "      <td>1299699</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.27%</td>\n",
       "      <td>347.98</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1069971</td>\n",
       "      <td>1304884</td>\n",
       "      <td>3600</td>\n",
       "      <td>3600</td>\n",
       "      <td>3600.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>6.03%</td>\n",
       "      <td>109.57</td>\n",
       "      <td>A</td>\n",
       "      <td>A1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1062474</td>\n",
       "      <td>1294539</td>\n",
       "      <td>6000</td>\n",
       "      <td>6000</td>\n",
       "      <td>6000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>198.46</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1069742</td>\n",
       "      <td>1304855</td>\n",
       "      <td>9200</td>\n",
       "      <td>9200</td>\n",
       "      <td>9200.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>6.03%</td>\n",
       "      <td>280.01</td>\n",
       "      <td>A</td>\n",
       "      <td>A1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1069740</td>\n",
       "      <td>1284848</td>\n",
       "      <td>20250</td>\n",
       "      <td>20250</td>\n",
       "      <td>19142.16108</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.27%</td>\n",
       "      <td>484.63</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1039153</td>\n",
       "      <td>1269083</td>\n",
       "      <td>21000</td>\n",
       "      <td>21000</td>\n",
       "      <td>21000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>12.42%</td>\n",
       "      <td>701.73</td>\n",
       "      <td>B</td>\n",
       "      <td>B4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1069710</td>\n",
       "      <td>1304821</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>330.76</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1069700</td>\n",
       "      <td>1304810</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>330.76</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1069559</td>\n",
       "      <td>1304634</td>\n",
       "      <td>6000</td>\n",
       "      <td>6000</td>\n",
       "      <td>6000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>198.46</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1069697</td>\n",
       "      <td>1273773</td>\n",
       "      <td>15000</td>\n",
       "      <td>15000</td>\n",
       "      <td>15000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.91%</td>\n",
       "      <td>483.38</td>\n",
       "      <td>B</td>\n",
       "      <td>B1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1069800</td>\n",
       "      <td>1304679</td>\n",
       "      <td>15000</td>\n",
       "      <td>15000</td>\n",
       "      <td>8725.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>14.27%</td>\n",
       "      <td>514.64</td>\n",
       "      <td>C</td>\n",
       "      <td>C2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1069657</td>\n",
       "      <td>1304764</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000.00000</td>\n",
       "      <td>60 months</td>\n",
       "      <td>16.77%</td>\n",
       "      <td>123.65</td>\n",
       "      <td>D</td>\n",
       "      <td>D2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1069799</td>\n",
       "      <td>1304678</td>\n",
       "      <td>4000</td>\n",
       "      <td>4000</td>\n",
       "      <td>4000.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>132.31</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1047704</td>\n",
       "      <td>1278806</td>\n",
       "      <td>8500</td>\n",
       "      <td>8500</td>\n",
       "      <td>8500.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.71%</td>\n",
       "      <td>281.15</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\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>39687</th>\n",
       "      <td>111307</td>\n",
       "      <td>105982</td>\n",
       "      <td>12000</td>\n",
       "      <td>12000</td>\n",
       "      <td>2500.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>12.49%</td>\n",
       "      <td>401.37</td>\n",
       "      <td>D</td>\n",
       "      <td>D3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39688</th>\n",
       "      <td>111227</td>\n",
       "      <td>111223</td>\n",
       "      <td>20000</td>\n",
       "      <td>20000</td>\n",
       "      <td>2800.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.43%</td>\n",
       "      <td>678.08</td>\n",
       "      <td>E</td>\n",
       "      <td>E1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39689</th>\n",
       "      <td>109355</td>\n",
       "      <td>109346</td>\n",
       "      <td>1200</td>\n",
       "      <td>1200</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.54%</td>\n",
       "      <td>39.60</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39690</th>\n",
       "      <td>107136</td>\n",
       "      <td>107130</td>\n",
       "      <td>12250</td>\n",
       "      <td>12250</td>\n",
       "      <td>1525.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.59%</td>\n",
       "      <td>398.69</td>\n",
       "      <td>C</td>\n",
       "      <td>C2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39691</th>\n",
       "      <td>106360</td>\n",
       "      <td>106333</td>\n",
       "      <td>2700</td>\n",
       "      <td>2700</td>\n",
       "      <td>550.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.96%</td>\n",
       "      <td>94.88</td>\n",
       "      <td>F</td>\n",
       "      <td>F4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39692</th>\n",
       "      <td>76597</td>\n",
       "      <td>76583</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>1775.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.01%</td>\n",
       "      <td>159.03</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39693</th>\n",
       "      <td>106079</td>\n",
       "      <td>106039</td>\n",
       "      <td>3500</td>\n",
       "      <td>3500</td>\n",
       "      <td>1200.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.96%</td>\n",
       "      <td>112.87</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39694</th>\n",
       "      <td>90966</td>\n",
       "      <td>90962</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>4150.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.43%</td>\n",
       "      <td>155.38</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39695</th>\n",
       "      <td>92440</td>\n",
       "      <td>92423</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>3100.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.43%</td>\n",
       "      <td>155.38</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39696</th>\n",
       "      <td>102376</td>\n",
       "      <td>95212</td>\n",
       "      <td>25000</td>\n",
       "      <td>25000</td>\n",
       "      <td>525.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.59%</td>\n",
       "      <td>813.65</td>\n",
       "      <td>C</td>\n",
       "      <td>C2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39697</th>\n",
       "      <td>101579</td>\n",
       "      <td>100083</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>400.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.28%</td>\n",
       "      <td>323.98</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39698</th>\n",
       "      <td>98982</td>\n",
       "      <td>98957</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>675.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.01%</td>\n",
       "      <td>159.03</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39699</th>\n",
       "      <td>98339</td>\n",
       "      <td>97572</td>\n",
       "      <td>5100</td>\n",
       "      <td>5100</td>\n",
       "      <td>575.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.38%</td>\n",
       "      <td>160.72</td>\n",
       "      <td>A</td>\n",
       "      <td>A5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39700</th>\n",
       "      <td>98276</td>\n",
       "      <td>98268</td>\n",
       "      <td>5400</td>\n",
       "      <td>5400</td>\n",
       "      <td>200.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.75%</td>\n",
       "      <td>168.60</td>\n",
       "      <td>A</td>\n",
       "      <td>A3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39701</th>\n",
       "      <td>96844</td>\n",
       "      <td>95222</td>\n",
       "      <td>5300</td>\n",
       "      <td>5300</td>\n",
       "      <td>600.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.38%</td>\n",
       "      <td>167.02</td>\n",
       "      <td>A</td>\n",
       "      <td>A5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39702</th>\n",
       "      <td>96350</td>\n",
       "      <td>96338</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>850.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.22%</td>\n",
       "      <td>164.23</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39703</th>\n",
       "      <td>94838</td>\n",
       "      <td>73673</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>2550.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.28%</td>\n",
       "      <td>97.20</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39704</th>\n",
       "      <td>93277</td>\n",
       "      <td>93254</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>950.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.70%</td>\n",
       "      <td>94.98</td>\n",
       "      <td>B</td>\n",
       "      <td>B1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39705</th>\n",
       "      <td>93061</td>\n",
       "      <td>93057</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>250.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.43%</td>\n",
       "      <td>155.38</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39706</th>\n",
       "      <td>92676</td>\n",
       "      <td>92671</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>150.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.07%</td>\n",
       "      <td>156.84</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39707</th>\n",
       "      <td>92666</td>\n",
       "      <td>92661</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>525.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.33%</td>\n",
       "      <td>159.77</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39708</th>\n",
       "      <td>92552</td>\n",
       "      <td>92542</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>375.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>9.96%</td>\n",
       "      <td>161.25</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39709</th>\n",
       "      <td>92533</td>\n",
       "      <td>92529</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>675.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>11.22%</td>\n",
       "      <td>164.23</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39710</th>\n",
       "      <td>92507</td>\n",
       "      <td>92502</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>250.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.43%</td>\n",
       "      <td>155.38</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39711</th>\n",
       "      <td>92402</td>\n",
       "      <td>92390</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>700.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.70%</td>\n",
       "      <td>158.30</td>\n",
       "      <td>B</td>\n",
       "      <td>B1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39712</th>\n",
       "      <td>92187</td>\n",
       "      <td>92174</td>\n",
       "      <td>2500</td>\n",
       "      <td>2500</td>\n",
       "      <td>1075.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.07%</td>\n",
       "      <td>78.42</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39713</th>\n",
       "      <td>90665</td>\n",
       "      <td>90607</td>\n",
       "      <td>8500</td>\n",
       "      <td>8500</td>\n",
       "      <td>875.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.28%</td>\n",
       "      <td>275.38</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39714</th>\n",
       "      <td>90395</td>\n",
       "      <td>90390</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>1325.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>8.07%</td>\n",
       "      <td>156.84</td>\n",
       "      <td>A</td>\n",
       "      <td>A4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39715</th>\n",
       "      <td>90376</td>\n",
       "      <td>89243</td>\n",
       "      <td>5000</td>\n",
       "      <td>5000</td>\n",
       "      <td>650.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>7.43%</td>\n",
       "      <td>155.38</td>\n",
       "      <td>A</td>\n",
       "      <td>A2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39716</th>\n",
       "      <td>87023</td>\n",
       "      <td>86999</td>\n",
       "      <td>7500</td>\n",
       "      <td>7500</td>\n",
       "      <td>800.00000</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.75%</td>\n",
       "      <td>255.43</td>\n",
       "      <td>E</td>\n",
       "      <td>E2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39717 rows × 111 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id  member_id  loan_amnt  funded_amnt  funded_amnt_inv  \\\n",
       "0      1077501    1296599       5000         5000       4975.00000   \n",
       "1      1077430    1314167       2500         2500       2500.00000   \n",
       "2      1077175    1313524       2400         2400       2400.00000   \n",
       "3      1076863    1277178      10000        10000      10000.00000   \n",
       "4      1075358    1311748       3000         3000       3000.00000   \n",
       "5      1075269    1311441       5000         5000       5000.00000   \n",
       "6      1069639    1304742       7000         7000       7000.00000   \n",
       "7      1072053    1288686       3000         3000       3000.00000   \n",
       "8      1071795    1306957       5600         5600       5600.00000   \n",
       "9      1071570    1306721       5375         5375       5350.00000   \n",
       "10     1070078    1305201       6500         6500       6500.00000   \n",
       "11     1069908    1305008      12000        12000      12000.00000   \n",
       "12     1064687    1298717       9000         9000       9000.00000   \n",
       "13     1069866    1304956       3000         3000       3000.00000   \n",
       "14     1069057    1303503      10000        10000      10000.00000   \n",
       "15     1069759    1304871       1000         1000       1000.00000   \n",
       "16     1065775    1299699      10000        10000      10000.00000   \n",
       "17     1069971    1304884       3600         3600       3600.00000   \n",
       "18     1062474    1294539       6000         6000       6000.00000   \n",
       "19     1069742    1304855       9200         9200       9200.00000   \n",
       "20     1069740    1284848      20250        20250      19142.16108   \n",
       "21     1039153    1269083      21000        21000      21000.00000   \n",
       "22     1069710    1304821      10000        10000      10000.00000   \n",
       "23     1069700    1304810      10000        10000      10000.00000   \n",
       "24     1069559    1304634       6000         6000       6000.00000   \n",
       "25     1069697    1273773      15000        15000      15000.00000   \n",
       "26     1069800    1304679      15000        15000       8725.00000   \n",
       "27     1069657    1304764       5000         5000       5000.00000   \n",
       "28     1069799    1304678       4000         4000       4000.00000   \n",
       "29     1047704    1278806       8500         8500       8500.00000   \n",
       "...        ...        ...        ...          ...              ...   \n",
       "39687   111307     105982      12000        12000       2500.00000   \n",
       "39688   111227     111223      20000        20000       2800.00000   \n",
       "39689   109355     109346       1200         1200          0.00000   \n",
       "39690   107136     107130      12250        12250       1525.00000   \n",
       "39691   106360     106333       2700         2700        550.00000   \n",
       "39692    76597      76583       5000         5000       1775.00000   \n",
       "39693   106079     106039       3500         3500       1200.00000   \n",
       "39694    90966      90962       5000         5000       4150.00000   \n",
       "39695    92440      92423       5000         5000       3100.00000   \n",
       "39696   102376      95212      25000        25000        525.00000   \n",
       "39697   101579     100083      10000        10000        400.00000   \n",
       "39698    98982      98957       5000         5000        675.00000   \n",
       "39699    98339      97572       5100         5100        575.00000   \n",
       "39700    98276      98268       5400         5400        200.00000   \n",
       "39701    96844      95222       5300         5300        600.00000   \n",
       "39702    96350      96338       5000         5000        850.00000   \n",
       "39703    94838      73673       3000         3000       2550.00000   \n",
       "39704    93277      93254       3000         3000        950.00000   \n",
       "39705    93061      93057       5000         5000        250.00000   \n",
       "39706    92676      92671       5000         5000        150.00000   \n",
       "39707    92666      92661       5000         5000        525.00000   \n",
       "39708    92552      92542       5000         5000        375.00000   \n",
       "39709    92533      92529       5000         5000        675.00000   \n",
       "39710    92507      92502       5000         5000        250.00000   \n",
       "39711    92402      92390       5000         5000        700.00000   \n",
       "39712    92187      92174       2500         2500       1075.00000   \n",
       "39713    90665      90607       8500         8500        875.00000   \n",
       "39714    90395      90390       5000         5000       1325.00000   \n",
       "39715    90376      89243       5000         5000        650.00000   \n",
       "39716    87023      86999       7500         7500        800.00000   \n",
       "\n",
       "             term int_rate  installment grade sub_grade  \\\n",
       "0       36 months   10.65%       162.87     B        B2   \n",
       "1       60 months   15.27%        59.83     C        C4   \n",
       "2       36 months   15.96%        84.33     C        C5   \n",
       "3       36 months   13.49%       339.31     C        C1   \n",
       "4       60 months   12.69%        67.79     B        B5   \n",
       "5       36 months    7.90%       156.46     A        A4   \n",
       "6       60 months   15.96%       170.08     C        C5   \n",
       "7       36 months   18.64%       109.43     E        E1   \n",
       "8       60 months   21.28%       152.39     F        F2   \n",
       "9       60 months   12.69%       121.45     B        B5   \n",
       "10      60 months   14.65%       153.45     C        C3   \n",
       "11      36 months   12.69%       402.54     B        B5   \n",
       "12      36 months   13.49%       305.38     C        C1   \n",
       "13      36 months    9.91%        96.68     B        B1   \n",
       "14      36 months   10.65%       325.74     B        B2   \n",
       "15      36 months   16.29%        35.31     D        D1   \n",
       "16      36 months   15.27%       347.98     C        C4   \n",
       "17      36 months    6.03%       109.57     A        A1   \n",
       "18      36 months   11.71%       198.46     B        B3   \n",
       "19      36 months    6.03%       280.01     A        A1   \n",
       "20      60 months   15.27%       484.63     C        C4   \n",
       "21      36 months   12.42%       701.73     B        B4   \n",
       "22      36 months   11.71%       330.76     B        B3   \n",
       "23      36 months   11.71%       330.76     B        B3   \n",
       "24      36 months   11.71%       198.46     B        B3   \n",
       "25      36 months    9.91%       483.38     B        B1   \n",
       "26      36 months   14.27%       514.64     C        C2   \n",
       "27      60 months   16.77%       123.65     D        D2   \n",
       "28      36 months   11.71%       132.31     B        B3   \n",
       "29      36 months   11.71%       281.15     B        B3   \n",
       "...           ...      ...          ...   ...       ...   \n",
       "39687   36 months   12.49%       401.37     D        D3   \n",
       "39688   36 months   13.43%       678.08     E        E1   \n",
       "39689   36 months   11.54%        39.60     C        C5   \n",
       "39690   36 months   10.59%       398.69     C        C2   \n",
       "39691   36 months   15.96%        94.88     F        F4   \n",
       "39692   36 months    9.01%       159.03     B        B2   \n",
       "39693   36 months    9.96%       112.87     B        B5   \n",
       "39694   36 months    7.43%       155.38     A        A2   \n",
       "39695   36 months    7.43%       155.38     A        A2   \n",
       "39696   36 months   10.59%       813.65     C        C2   \n",
       "39697   36 months   10.28%       323.98     C        C1   \n",
       "39698   36 months    9.01%       159.03     B        B2   \n",
       "39699   36 months    8.38%       160.72     A        A5   \n",
       "39700   36 months    7.75%       168.60     A        A3   \n",
       "39701   36 months    8.38%       167.02     A        A5   \n",
       "39702   36 months   11.22%       164.23     C        C4   \n",
       "39703   36 months   10.28%        97.20     C        C1   \n",
       "39704   36 months    8.70%        94.98     B        B1   \n",
       "39705   36 months    7.43%       155.38     A        A2   \n",
       "39706   36 months    8.07%       156.84     A        A4   \n",
       "39707   36 months    9.33%       159.77     B        B3   \n",
       "39708   36 months    9.96%       161.25     B        B5   \n",
       "39709   36 months   11.22%       164.23     C        C4   \n",
       "39710   36 months    7.43%       155.38     A        A2   \n",
       "39711   36 months    8.70%       158.30     B        B1   \n",
       "39712   36 months    8.07%        78.42     A        A4   \n",
       "39713   36 months   10.28%       275.38     C        C1   \n",
       "39714   36 months    8.07%       156.84     A        A4   \n",
       "39715   36 months    7.43%       155.38     A        A2   \n",
       "39716   36 months   13.75%       255.43     E        E2   \n",
       "\n",
       "                 ...             num_tl_90g_dpd_24m num_tl_op_past_12m  \\\n",
       "0                ...                            NaN                NaN   \n",
       "1                ...                            NaN                NaN   \n",
       "2                ...                            NaN                NaN   \n",
       "3                ...                            NaN                NaN   \n",
       "4                ...                            NaN                NaN   \n",
       "5                ...                            NaN                NaN   \n",
       "6                ...                            NaN                NaN   \n",
       "7                ...                            NaN                NaN   \n",
       "8                ...                            NaN                NaN   \n",
       "9                ...                            NaN                NaN   \n",
       "10               ...                            NaN                NaN   \n",
       "11               ...                            NaN                NaN   \n",
       "12               ...                            NaN                NaN   \n",
       "13               ...                            NaN                NaN   \n",
       "14               ...                            NaN                NaN   \n",
       "15               ...                            NaN                NaN   \n",
       "16               ...                            NaN                NaN   \n",
       "17               ...                            NaN                NaN   \n",
       "18               ...                            NaN                NaN   \n",
       "19               ...                            NaN                NaN   \n",
       "20               ...                            NaN                NaN   \n",
       "21               ...                            NaN                NaN   \n",
       "22               ...                            NaN                NaN   \n",
       "23               ...                            NaN                NaN   \n",
       "24               ...                            NaN                NaN   \n",
       "25               ...                            NaN                NaN   \n",
       "26               ...                            NaN                NaN   \n",
       "27               ...                            NaN                NaN   \n",
       "28               ...                            NaN                NaN   \n",
       "29               ...                            NaN                NaN   \n",
       "...              ...                            ...                ...   \n",
       "39687            ...                            NaN                NaN   \n",
       "39688            ...                            NaN                NaN   \n",
       "39689            ...                            NaN                NaN   \n",
       "39690            ...                            NaN                NaN   \n",
       "39691            ...                            NaN                NaN   \n",
       "39692            ...                            NaN                NaN   \n",
       "39693            ...                            NaN                NaN   \n",
       "39694            ...                            NaN                NaN   \n",
       "39695            ...                            NaN                NaN   \n",
       "39696            ...                            NaN                NaN   \n",
       "39697            ...                            NaN                NaN   \n",
       "39698            ...                            NaN                NaN   \n",
       "39699            ...                            NaN                NaN   \n",
       "39700            ...                            NaN                NaN   \n",
       "39701            ...                            NaN                NaN   \n",
       "39702            ...                            NaN                NaN   \n",
       "39703            ...                            NaN                NaN   \n",
       "39704            ...                            NaN                NaN   \n",
       "39705            ...                            NaN                NaN   \n",
       "39706            ...                            NaN                NaN   \n",
       "39707            ...                            NaN                NaN   \n",
       "39708            ...                            NaN                NaN   \n",
       "39709            ...                            NaN                NaN   \n",
       "39710            ...                            NaN                NaN   \n",
       "39711            ...                            NaN                NaN   \n",
       "39712            ...                            NaN                NaN   \n",
       "39713            ...                            NaN                NaN   \n",
       "39714            ...                            NaN                NaN   \n",
       "39715            ...                            NaN                NaN   \n",
       "39716            ...                            NaN                NaN   \n",
       "\n",
       "      pct_tl_nvr_dlq  percent_bc_gt_75 pub_rec_bankruptcies tax_liens  \\\n",
       "0                NaN               NaN                  0.0       0.0   \n",
       "1                NaN               NaN                  0.0       0.0   \n",
       "2                NaN               NaN                  0.0       0.0   \n",
       "3                NaN               NaN                  0.0       0.0   \n",
       "4                NaN               NaN                  0.0       0.0   \n",
       "5                NaN               NaN                  0.0       0.0   \n",
       "6                NaN               NaN                  0.0       0.0   \n",
       "7                NaN               NaN                  0.0       0.0   \n",
       "8                NaN               NaN                  0.0       0.0   \n",
       "9                NaN               NaN                  0.0       0.0   \n",
       "10               NaN               NaN                  0.0       0.0   \n",
       "11               NaN               NaN                  0.0       0.0   \n",
       "12               NaN               NaN                  0.0       0.0   \n",
       "13               NaN               NaN                  0.0       0.0   \n",
       "14               NaN               NaN                  0.0       0.0   \n",
       "15               NaN               NaN                  0.0       0.0   \n",
       "16               NaN               NaN                  0.0       0.0   \n",
       "17               NaN               NaN                  0.0       0.0   \n",
       "18               NaN               NaN                  0.0       0.0   \n",
       "19               NaN               NaN                  0.0       0.0   \n",
       "20               NaN               NaN                  0.0       0.0   \n",
       "21               NaN               NaN                  0.0       0.0   \n",
       "22               NaN               NaN                  0.0       0.0   \n",
       "23               NaN               NaN                  0.0       0.0   \n",
       "24               NaN               NaN                  0.0       0.0   \n",
       "25               NaN               NaN                  0.0       0.0   \n",
       "26               NaN               NaN                  0.0       0.0   \n",
       "27               NaN               NaN                  0.0       0.0   \n",
       "28               NaN               NaN                  0.0       0.0   \n",
       "29               NaN               NaN                  0.0       0.0   \n",
       "...              ...               ...                  ...       ...   \n",
       "39687            NaN               NaN                  NaN       NaN   \n",
       "39688            NaN               NaN                  NaN       NaN   \n",
       "39689            NaN               NaN                  NaN       NaN   \n",
       "39690            NaN               NaN                  NaN       NaN   \n",
       "39691            NaN               NaN                  NaN       NaN   \n",
       "39692            NaN               NaN                  NaN       NaN   \n",
       "39693            NaN               NaN                  NaN       NaN   \n",
       "39694            NaN               NaN                  NaN       NaN   \n",
       "39695            NaN               NaN                  NaN       NaN   \n",
       "39696            NaN               NaN                  NaN       NaN   \n",
       "39697            NaN               NaN                  NaN       NaN   \n",
       "39698            NaN               NaN                  NaN       NaN   \n",
       "39699            NaN               NaN                  NaN       NaN   \n",
       "39700            NaN               NaN                  NaN       NaN   \n",
       "39701            NaN               NaN                  NaN       NaN   \n",
       "39702            NaN               NaN                  NaN       NaN   \n",
       "39703            NaN               NaN                  NaN       NaN   \n",
       "39704            NaN               NaN                  NaN       NaN   \n",
       "39705            NaN               NaN                  NaN       NaN   \n",
       "39706            NaN               NaN                  NaN       NaN   \n",
       "39707            NaN               NaN                  NaN       NaN   \n",
       "39708            NaN               NaN                  NaN       NaN   \n",
       "39709            NaN               NaN                  NaN       NaN   \n",
       "39710            NaN               NaN                  NaN       NaN   \n",
       "39711            NaN               NaN                  NaN       NaN   \n",
       "39712            NaN               NaN                  NaN       NaN   \n",
       "39713            NaN               NaN                  NaN       NaN   \n",
       "39714            NaN               NaN                  NaN       NaN   \n",
       "39715            NaN               NaN                  NaN       NaN   \n",
       "39716            NaN               NaN                  NaN       NaN   \n",
       "\n",
       "      tot_hi_cred_lim total_bal_ex_mort total_bc_limit  \\\n",
       "0                 NaN               NaN            NaN   \n",
       "1                 NaN               NaN            NaN   \n",
       "2                 NaN               NaN            NaN   \n",
       "3                 NaN               NaN            NaN   \n",
       "4                 NaN               NaN            NaN   \n",
       "5                 NaN               NaN            NaN   \n",
       "6                 NaN               NaN            NaN   \n",
       "7                 NaN               NaN            NaN   \n",
       "8                 NaN               NaN            NaN   \n",
       "9                 NaN               NaN            NaN   \n",
       "10                NaN               NaN            NaN   \n",
       "11                NaN               NaN            NaN   \n",
       "12                NaN               NaN            NaN   \n",
       "13                NaN               NaN            NaN   \n",
       "14                NaN               NaN            NaN   \n",
       "15                NaN               NaN            NaN   \n",
       "16                NaN               NaN            NaN   \n",
       "17                NaN               NaN            NaN   \n",
       "18                NaN               NaN            NaN   \n",
       "19                NaN               NaN            NaN   \n",
       "20                NaN               NaN            NaN   \n",
       "21                NaN               NaN            NaN   \n",
       "22                NaN               NaN            NaN   \n",
       "23                NaN               NaN            NaN   \n",
       "24                NaN               NaN            NaN   \n",
       "25                NaN               NaN            NaN   \n",
       "26                NaN               NaN            NaN   \n",
       "27                NaN               NaN            NaN   \n",
       "28                NaN               NaN            NaN   \n",
       "29                NaN               NaN            NaN   \n",
       "...               ...               ...            ...   \n",
       "39687             NaN               NaN            NaN   \n",
       "39688             NaN               NaN            NaN   \n",
       "39689             NaN               NaN            NaN   \n",
       "39690             NaN               NaN            NaN   \n",
       "39691             NaN               NaN            NaN   \n",
       "39692             NaN               NaN            NaN   \n",
       "39693             NaN               NaN            NaN   \n",
       "39694             NaN               NaN            NaN   \n",
       "39695             NaN               NaN            NaN   \n",
       "39696             NaN               NaN            NaN   \n",
       "39697             NaN               NaN            NaN   \n",
       "39698             NaN               NaN            NaN   \n",
       "39699             NaN               NaN            NaN   \n",
       "39700             NaN               NaN            NaN   \n",
       "39701             NaN               NaN            NaN   \n",
       "39702             NaN               NaN            NaN   \n",
       "39703             NaN               NaN            NaN   \n",
       "39704             NaN               NaN            NaN   \n",
       "39705             NaN               NaN            NaN   \n",
       "39706             NaN               NaN            NaN   \n",
       "39707             NaN               NaN            NaN   \n",
       "39708             NaN               NaN            NaN   \n",
       "39709             NaN               NaN            NaN   \n",
       "39710             NaN               NaN            NaN   \n",
       "39711             NaN               NaN            NaN   \n",
       "39712             NaN               NaN            NaN   \n",
       "39713             NaN               NaN            NaN   \n",
       "39714             NaN               NaN            NaN   \n",
       "39715             NaN               NaN            NaN   \n",
       "39716             NaN               NaN            NaN   \n",
       "\n",
       "      total_il_high_credit_limit  \n",
       "0                            NaN  \n",
       "1                            NaN  \n",
       "2                            NaN  \n",
       "3                            NaN  \n",
       "4                            NaN  \n",
       "5                            NaN  \n",
       "6                            NaN  \n",
       "7                            NaN  \n",
       "8                            NaN  \n",
       "9                            NaN  \n",
       "10                           NaN  \n",
       "11                           NaN  \n",
       "12                           NaN  \n",
       "13                           NaN  \n",
       "14                           NaN  \n",
       "15                           NaN  \n",
       "16                           NaN  \n",
       "17                           NaN  \n",
       "18                           NaN  \n",
       "19                           NaN  \n",
       "20                           NaN  \n",
       "21                           NaN  \n",
       "22                           NaN  \n",
       "23                           NaN  \n",
       "24                           NaN  \n",
       "25                           NaN  \n",
       "26                           NaN  \n",
       "27                           NaN  \n",
       "28                           NaN  \n",
       "29                           NaN  \n",
       "...                          ...  \n",
       "39687                        NaN  \n",
       "39688                        NaN  \n",
       "39689                        NaN  \n",
       "39690                        NaN  \n",
       "39691                        NaN  \n",
       "39692                        NaN  \n",
       "39693                        NaN  \n",
       "39694                        NaN  \n",
       "39695                        NaN  \n",
       "39696                        NaN  \n",
       "39697                        NaN  \n",
       "39698                        NaN  \n",
       "39699                        NaN  \n",
       "39700                        NaN  \n",
       "39701                        NaN  \n",
       "39702                        NaN  \n",
       "39703                        NaN  \n",
       "39704                        NaN  \n",
       "39705                        NaN  \n",
       "39706                        NaN  \n",
       "39707                        NaN  \n",
       "39708                        NaN  \n",
       "39709                        NaN  \n",
       "39710                        NaN  \n",
       "39711                        NaN  \n",
       "39712                        NaN  \n",
       "39713                        NaN  \n",
       "39714                        NaN  \n",
       "39715                        NaN  \n",
       "39716                        NaN  \n",
       "\n",
       "[39717 rows x 111 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39717, 111)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'member_id', 'loan_amnt', 'funded_amnt', 'funded_amnt_inv',\n",
       "       'term', 'int_rate', 'installment', 'grade', 'sub_grade',\n",
       "       ...\n",
       "       'num_tl_90g_dpd_24m', 'num_tl_op_past_12m', 'pct_tl_nvr_dlq',\n",
       "       'percent_bc_gt_75', 'pub_rec_bankruptcies', 'tax_liens',\n",
       "       'tot_hi_cred_lim', 'total_bal_ex_mort', 'total_bc_limit',\n",
       "       'total_il_high_credit_limit'],\n",
       "      dtype='object', length=111)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns #No. of columns in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>installment</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>dti</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>...</th>\n",
       "      <th>num_tl_90g_dpd_24m</th>\n",
       "      <th>num_tl_op_past_12m</th>\n",
       "      <th>pct_tl_nvr_dlq</th>\n",
       "      <th>percent_bc_gt_75</th>\n",
       "      <th>pub_rec_bankruptcies</th>\n",
       "      <th>tax_liens</th>\n",
       "      <th>tot_hi_cred_lim</th>\n",
       "      <th>total_bal_ex_mort</th>\n",
       "      <th>total_bc_limit</th>\n",
       "      <th>total_il_high_credit_limit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.971700e+04</td>\n",
       "      <td>3.971700e+04</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>3.971700e+04</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>39717.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39020.000000</td>\n",
       "      <td>39678.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.831319e+05</td>\n",
       "      <td>8.504636e+05</td>\n",
       "      <td>11219.443815</td>\n",
       "      <td>10947.713196</td>\n",
       "      <td>10397.448868</td>\n",
       "      <td>324.561922</td>\n",
       "      <td>6.896893e+04</td>\n",
       "      <td>13.315130</td>\n",
       "      <td>0.146512</td>\n",
       "      <td>0.869200</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.043260</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.106941e+05</td>\n",
       "      <td>2.656783e+05</td>\n",
       "      <td>7456.670694</td>\n",
       "      <td>7187.238670</td>\n",
       "      <td>7128.450439</td>\n",
       "      <td>208.874874</td>\n",
       "      <td>6.379377e+04</td>\n",
       "      <td>6.678594</td>\n",
       "      <td>0.491812</td>\n",
       "      <td>1.070219</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.204324</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.473400e+04</td>\n",
       "      <td>7.069900e+04</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>15.690000</td>\n",
       "      <td>4.000000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.162210e+05</td>\n",
       "      <td>6.667800e+05</td>\n",
       "      <td>5500.000000</td>\n",
       "      <td>5400.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>167.020000</td>\n",
       "      <td>4.040400e+04</td>\n",
       "      <td>8.170000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.656650e+05</td>\n",
       "      <td>8.508120e+05</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>9600.000000</td>\n",
       "      <td>8975.000000</td>\n",
       "      <td>280.220000</td>\n",
       "      <td>5.900000e+04</td>\n",
       "      <td>13.400000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.377550e+05</td>\n",
       "      <td>1.047339e+06</td>\n",
       "      <td>15000.000000</td>\n",
       "      <td>15000.000000</td>\n",
       "      <td>14400.000000</td>\n",
       "      <td>430.780000</td>\n",
       "      <td>8.230000e+04</td>\n",
       "      <td>18.600000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.077501e+06</td>\n",
       "      <td>1.314167e+06</td>\n",
       "      <td>35000.000000</td>\n",
       "      <td>35000.000000</td>\n",
       "      <td>35000.000000</td>\n",
       "      <td>1305.190000</td>\n",
       "      <td>6.000000e+06</td>\n",
       "      <td>29.990000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 87 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id     member_id     loan_amnt   funded_amnt  \\\n",
       "count  3.971700e+04  3.971700e+04  39717.000000  39717.000000   \n",
       "mean   6.831319e+05  8.504636e+05  11219.443815  10947.713196   \n",
       "std    2.106941e+05  2.656783e+05   7456.670694   7187.238670   \n",
       "min    5.473400e+04  7.069900e+04    500.000000    500.000000   \n",
       "25%    5.162210e+05  6.667800e+05   5500.000000   5400.000000   \n",
       "50%    6.656650e+05  8.508120e+05  10000.000000   9600.000000   \n",
       "75%    8.377550e+05  1.047339e+06  15000.000000  15000.000000   \n",
       "max    1.077501e+06  1.314167e+06  35000.000000  35000.000000   \n",
       "\n",
       "       funded_amnt_inv   installment    annual_inc           dti  \\\n",
       "count     39717.000000  39717.000000  3.971700e+04  39717.000000   \n",
       "mean      10397.448868    324.561922  6.896893e+04     13.315130   \n",
       "std        7128.450439    208.874874  6.379377e+04      6.678594   \n",
       "min           0.000000     15.690000  4.000000e+03      0.000000   \n",
       "25%        5000.000000    167.020000  4.040400e+04      8.170000   \n",
       "50%        8975.000000    280.220000  5.900000e+04     13.400000   \n",
       "75%       14400.000000    430.780000  8.230000e+04     18.600000   \n",
       "max       35000.000000   1305.190000  6.000000e+06     29.990000   \n",
       "\n",
       "        delinq_2yrs  inq_last_6mths             ...              \\\n",
       "count  39717.000000    39717.000000             ...               \n",
       "mean       0.146512        0.869200             ...               \n",
       "std        0.491812        1.070219             ...               \n",
       "min        0.000000        0.000000             ...               \n",
       "25%        0.000000        0.000000             ...               \n",
       "50%        0.000000        1.000000             ...               \n",
       "75%        0.000000        1.000000             ...               \n",
       "max       11.000000        8.000000             ...               \n",
       "\n",
       "       num_tl_90g_dpd_24m  num_tl_op_past_12m  pct_tl_nvr_dlq  \\\n",
       "count                 0.0                 0.0             0.0   \n",
       "mean                  NaN                 NaN             NaN   \n",
       "std                   NaN                 NaN             NaN   \n",
       "min                   NaN                 NaN             NaN   \n",
       "25%                   NaN                 NaN             NaN   \n",
       "50%                   NaN                 NaN             NaN   \n",
       "75%                   NaN                 NaN             NaN   \n",
       "max                   NaN                 NaN             NaN   \n",
       "\n",
       "       percent_bc_gt_75  pub_rec_bankruptcies  tax_liens  tot_hi_cred_lim  \\\n",
       "count               0.0          39020.000000    39678.0              0.0   \n",
       "mean                NaN              0.043260        0.0              NaN   \n",
       "std                 NaN              0.204324        0.0              NaN   \n",
       "min                 NaN              0.000000        0.0              NaN   \n",
       "25%                 NaN              0.000000        0.0              NaN   \n",
       "50%                 NaN              0.000000        0.0              NaN   \n",
       "75%                 NaN              0.000000        0.0              NaN   \n",
       "max                 NaN              2.000000        0.0              NaN   \n",
       "\n",
       "       total_bal_ex_mort  total_bc_limit  total_il_high_credit_limit  \n",
       "count                0.0             0.0                         0.0  \n",
       "mean                 NaN             NaN                         NaN  \n",
       "std                  NaN             NaN                         NaN  \n",
       "min                  NaN             NaN                         NaN  \n",
       "25%                  NaN             NaN                         NaN  \n",
       "50%                  NaN             NaN                         NaN  \n",
       "75%                  NaN             NaN                         NaN  \n",
       "max                  NaN             NaN                         NaN  \n",
       "\n",
       "[8 rows x 87 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fully Paid     32950\n",
       "Charged Off     5627\n",
       "Current         1140\n",
       "Name: loan_status, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['loan_status'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Remark:** As per the past data, it's a bit impressive as the amount of customers who fully paid the loan is 32.950 amongst 39.717 customers. Also important to mention that about 5.627 are customers who didnt actually paid the amount marked as \"Charged-Off\" and 1.140 are still paying the installments marked as \"Current\" "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2 Distribution of numeric features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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     "execution_count": 10,
     "metadata": {},
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    {
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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 90 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(figsize=(30,30), xrot=-45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "\n",
    "* The given histograms of every feature gives actual idea about how data is filled out and arranged according to the past records\n",
    "* One of the most important thing that I observed is that there are lots of features which are having null/none values. These features might make data denser unnecessarily as these features will not help us in any means\n",
    "* Mentioning features like \"acc_open_past_24mths\", \"all_util\", \"annual_inc_joint\", \"avg_cur_bal\" and many more are showing null or say values which are nearly negligible.\n",
    "* Many features are also fairly and densely populated which are the values on which we are going to focus for solving our actual problem\n",
    "* Mentioning features like \"dti\", \"funded_amnt\", \"funded_amnt_inv\", \"id\", \"member_id\", \"loan_amnt\" and much more are features which will help us for predicting our problem statement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(\"all_util\", axis=1) #Dropping unwanted/less specific features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "\"labels ['inq_last_2m'] not contained in axis\"",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-32-5de431f47492>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"il_util\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"inq_fi\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"inq_last_2m\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"max_bal_bc\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"mo_sin_old_il_acct\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   3692\u001b[0m                                            \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3693\u001b[0m                                            \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minplace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3694\u001b[0;31m                                            errors=errors)\n\u001b[0m\u001b[1;32m   3695\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3696\u001b[0m     @rewrite_axis_style_signature('mapper', [('copy', True),\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, axis, index, columns, level, inplace, errors)\u001b[0m\n\u001b[1;32m   3106\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32min\u001b[0m \u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3107\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3108\u001b[0;31m                 \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_drop_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3110\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_drop_axis\u001b[0;34m(self, labels, axis, level, errors)\u001b[0m\n\u001b[1;32m   3138\u001b[0m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3139\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3140\u001b[0;31m                 \u001b[0mnew_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3141\u001b[0m             \u001b[0mdropped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0maxis_name\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3142\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mdrop\u001b[0;34m(self, labels, errors)\u001b[0m\n\u001b[1;32m   4385\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'ignore'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4386\u001b[0m                 raise KeyError(\n\u001b[0;32m-> 4387\u001b[0;31m                     'labels %s not contained in axis' % labels[mask])\n\u001b[0m\u001b[1;32m   4388\u001b[0m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m~\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4389\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: \"labels ['inq_last_2m'] not contained in axis\""
     ]
    }
   ],
   "source": [
    "data = data.drop(\"bc_open_to_buy\", axis=1)\n",
    "data = data.drop(\"bc_util\", axis=1)\n",
    "data = data.drop(\"dti_joint\", axis=1)\n",
    "data = data.drop(\"il_util\", axis=1)\n",
    "data = data.drop(\"inq_fi\", axis=1)\n",
    "data = data.drop(\"inq_last_12m\", axis=1)\n",
    "data = data.drop(\"max_bal_bc\", axis=1)\n",
    "data = data.drop(\"mo_sin_old_il_acct\", axis=1)\n",
    "data = data.drop(\"mo_sin_old_rev_tl_op\", axis=1)\n",
    "data = data.drop(\"mo_sin_rcnt_rev_tl_op\", axis=1)\n",
    "data = data.drop(\"mort_acc\", axis=1)\n",
    "data = data.drop(\"mths_since_last_major_derog\", axis=1)\n",
    "data = data.drop(\"mths_since_rcnt_il\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_bc\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_bc_dlq\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(\"inq_last_12m\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39717, 109)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                0\n",
       "member_id                         0\n",
       "loan_amnt                         0\n",
       "funded_amnt                       0\n",
       "funded_amnt_inv                   0\n",
       "term                              0\n",
       "int_rate                          0\n",
       "installment                       0\n",
       "grade                             0\n",
       "sub_grade                         0\n",
       "emp_title                      2459\n",
       "emp_length                     1075\n",
       "home_ownership                    0\n",
       "annual_inc                        0\n",
       "verification_status               0\n",
       "issue_d                           0\n",
       "loan_status                       0\n",
       "pymnt_plan                        0\n",
       "url                               0\n",
       "desc                          12940\n",
       "purpose                           0\n",
       "title                            11\n",
       "zip_code                          0\n",
       "addr_state                        0\n",
       "dti                               0\n",
       "delinq_2yrs                       0\n",
       "earliest_cr_line                  0\n",
       "inq_last_6mths                    0\n",
       "mths_since_last_delinq        25682\n",
       "mths_since_last_record        36931\n",
       "open_acc                          0\n",
       "pub_rec                           0\n",
       "revol_bal                         0\n",
       "revol_util                       50\n",
       "total_acc                         0\n",
       "initial_list_status               0\n",
       "out_prncp                         0\n",
       "out_prncp_inv                     0\n",
       "total_pymnt                       0\n",
       "total_pymnt_inv                   0\n",
       "total_rec_prncp                   0\n",
       "total_rec_int                     0\n",
       "total_rec_late_fee                0\n",
       "recoveries                        0\n",
       "collection_recovery_fee           0\n",
       "last_pymnt_d                     71\n",
       "last_pymnt_amnt                   0\n",
       "next_pymnt_d                  38577\n",
       "last_credit_pull_d                2\n",
       "collections_12_mths_ex_med       56\n",
       "policy_code                       0\n",
       "application_type                  0\n",
       "acc_now_delinq                    0\n",
       "chargeoff_within_12_mths         56\n",
       "delinq_amnt                       0\n",
       "pub_rec_bankruptcies            697\n",
       "tax_liens                        39\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Looking for null values\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#As the amount of N/A features are more we are dropping it parts by parts as it's difficult to drop at one go\n",
    "data = data.drop(\"acc_open_past_24mths\", axis=1)\n",
    "data = data.drop(\"annual_inc_joint\", axis=1)\n",
    "data = data.drop(\"avg_cur_bal\", axis=1)\n",
    "data = data.drop(\"bc_open_to_buy\", axis=1)\n",
    "data = data.drop(\"bc_util\", axis=1)\n",
    "data = data.drop(\"dti_joint\", axis=1)\n",
    "data = data.drop(\"il_util\", axis=1)\n",
    "data = data.drop(\"inq_fi\", axis=1)\n",
    "data = data.drop(\"max_bal_bc\", axis=1)\n",
    "data = data.drop(\"mo_sin_old_il_acct\", axis=1)\n",
    "data = data.drop(\"mo_sin_old_rev_tl_op\", axis=1)\n",
    "data = data.drop(\"mo_sin_rcnt_rev_tl_op\", axis=1)\n",
    "data = data.drop(\"mo_sin_rcnt_tl\", axis=1)\n",
    "data = data.drop(\"mort_acc\", axis=1)\n",
    "data = data.drop(\"mths_since_last_major_derog\", axis=1)\n",
    "data = data.drop(\"mths_since_rcnt_il\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_bc\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_bc_dlq\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_inq\", axis=1)\n",
    "data = data.drop(\"mths_since_recent_revol_delinq\", axis=1)\n",
    "data = data.drop(\"num_accts_ever_120_pd\", axis=1)\n",
    "data = data.drop(\"num_actv_bc_tl\", axis=1)\n",
    "data = data.drop(\"num_actv_rev_tl\", axis=1)\n",
    "data = data.drop(\"num_bc_sats\", axis=1)\n",
    "data = data.drop(\"num_bc_tl\", axis=1)\n",
    "data = data.drop(\"num_il_tl\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39717, 83)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dropping remaining ones again\n",
    "data = data.drop(\"num_op_rev_tl\", axis=1)\n",
    "data = data.drop(\"num_rev_accts\", axis=1)\n",
    "data = data.drop(\"num_rev_tl_bal_gt_0\", axis=1)\n",
    "data = data.drop(\"num_sats\", axis=1)\n",
    "data = data.drop(\"num_tl_120dpd_2m\", axis=1)\n",
    "data = data.drop(\"num_tl_30dpd\", axis=1)\n",
    "data = data.drop(\"num_tl_90g_dpd_24m\", axis=1)\n",
    "data = data.drop(\"num_tl_op_past_12m\", axis=1)\n",
    "data = data.drop(\"open_acc_6m\", axis=1)\n",
    "data = data.drop(\"open_il_12m\", axis=1)\n",
    "data = data.drop(\"open_il_24m\", axis=1)\n",
    "data = data.drop(\"open_il_6m\", axis=1)\n",
    "data = data.drop(\"open_rv_12m\", axis=1)\n",
    "data = data.drop(\"open_rv_24m\", axis=1)\n",
    "data = data.drop(\"pct_tl_nvr_dlq\", axis=1)\n",
    "data = data.drop(\"percent_bc_gt_75\", axis=1)\n",
    "data = data.drop(\"tot_coll_amt\", axis=1)\n",
    "data = data.drop(\"tot_cur_bal\", axis=1)\n",
    "data = data.drop(\"tot_hi_cred_lim\", axis=1)\n",
    "data = data.drop(\"total_bal_ex_mort\", axis=1)\n",
    "data = data.drop(\"total_bal_il\", axis=1)\n",
    "data = data.drop(\"total_bc_limit\", axis=1)\n",
    "data = data.drop(\"total_cu_tl\", axis=1)\n",
    "data = data.drop(\"total_il_high_credit_limit\", axis=1)\n",
    "data = data.drop(\"total_rev_hi_lim\", axis=1)\n",
    "data = data.drop(\"verification_status_joint\", axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39717, 57)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'member_id', 'loan_amnt', 'funded_amnt', 'funded_amnt_inv',\n",
       "       'term', 'int_rate', 'installment', 'grade', 'sub_grade', 'emp_title',\n",
       "       'emp_length', 'home_ownership', 'annual_inc', 'verification_status',\n",
       "       'issue_d', 'loan_status', 'pymnt_plan', 'url', 'desc', 'purpose',\n",
       "       'title', 'zip_code', 'addr_state', 'dti', 'delinq_2yrs',\n",
       "       'earliest_cr_line', 'inq_last_6mths', 'mths_since_last_delinq',\n",
       "       'mths_since_last_record', 'open_acc', 'pub_rec', 'revol_bal',\n",
       "       'revol_util', 'total_acc', 'initial_list_status', 'out_prncp',\n",
       "       'out_prncp_inv', 'total_pymnt', 'total_pymnt_inv', 'total_rec_prncp',\n",
       "       'total_rec_int', 'total_rec_late_fee', 'recoveries',\n",
       "       'collection_recovery_fee', 'last_pymnt_d', 'last_pymnt_amnt',\n",
       "       'next_pymnt_d', 'last_credit_pull_d', 'collections_12_mths_ex_med',\n",
       "       'policy_code', 'application_type', 'acc_now_delinq',\n",
       "       'chargeoff_within_12_mths', 'delinq_amnt', 'pub_rec_bankruptcies',\n",
       "       'tax_liens'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1a2df13470>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2c1d2a58>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2886a390>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2c116240>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2cdd6390>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2cdd63c8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2ce15048>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2d9f65f8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2da15c88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2da3c358>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2da629e8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2da950b8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2e0f4748>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2e11cdd8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f38d4a8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f3b4b38>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f3e7208>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f40e898>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2f438f28>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f4695f8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f491c88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f4c3358>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f4ea9e8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f51c0b8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2f544748>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f56cdd8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f5a04a8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f5c7b38>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f5f9208>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f621898>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2f649f28>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f67a5f8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f6a2c88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f6d4358>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f6fe9e8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2f7310b8>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(figsize=(30,30), xrot=-45) #Histogram of final cleaned dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Remarks:**\n",
    "* So after dropping all the columns which are least important as they are having null i.e N/A values, now it would be easy to analyze our problem to come out with more stable and accurate predictions.\n",
    "* Dropping or deleting columns here are necessary as they're not helping us to predict in any of the way hence creating complexity of the data and increasing time complexity for results evaluation/analysing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "So, after dropping the unwanted features, here is the observations for freshly cleaned dataset\n",
    "\n",
    "* Dataset has many variables which must be *\"binary indicator\"*.\n",
    "* Values such as \"acc_now_deinq\", \"annual_income\", \"chargeoff_within_12_mths\", \"collection_recovery_fee\", \"collection_12_mths_ex_med\", \"delinq_amnt\", \"policy_code\", \"tax_liens\", must be *\"binary indicator\"* variables.\n",
    "* Futher observing the features, then \"dti\" ranges from 0 to 30\n",
    "* \"funded_amt\" has the maximum value which hits to 10000\n",
    "* \"funded_amnt_inv\" has the maximum value which hits upto greater than 8000\n",
    "* \"id\" value ranges maximum to 7000\n",
    "* \"inq_last_6mths\" ranges from 0 to 7\n",
    "* \"installment\" ranges from 0 to 1250\n",
    "* \"last_pymnt_amnt\" 0 to 25000\n",
    "* \"loan_amnt\" having higest value which almost touches to 10000\n",
    "* \"member_id\" ranges from 200000 to 1200000 \n",
    "* \"mths_since_last_delinq\" ranges from 0 to 80\n",
    "* \"mths_since_last_record\" ranges from 0 to 125\n",
    "* \"open_acc\" ranges from 0 to 30\n",
    "* \"out_prncp\" & \"out_prncp_inv\" ranges from 0 to 2000\n",
    "* \"pub_rec\" ranges between 0 and 1\n",
    "* \"pub_rec_bankruptcies\" ranges between 0.0 and 1.0\n",
    "* \"recoveries\" ranges from 0 to upto 10000\n",
    "* \"revol_bal\" ranges from 0 to 125000\n",
    "* \"total_acc\" ranges from 0 to 60\n",
    "* \"total_pymnt\" and \"total_pymnt_inv\" ranges from 0 to 60000\n",
    "* \"total_rec_int\" ranges from 0 to 15000\n",
    "* \"total_rec_late_fee\" ranges from 0 to 50\n",
    "* \"total_rec_prncp\" ranges from 0 to 30000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.3 Distribution of categorical features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>term</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>grade</th>\n",
       "      <th>sub_grade</th>\n",
       "      <th>emp_title</th>\n",
       "      <th>emp_length</th>\n",
       "      <th>home_ownership</th>\n",
       "      <th>verification_status</th>\n",
       "      <th>issue_d</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>...</th>\n",
       "      <th>title</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>addr_state</th>\n",
       "      <th>earliest_cr_line</th>\n",
       "      <th>revol_util</th>\n",
       "      <th>initial_list_status</th>\n",
       "      <th>last_pymnt_d</th>\n",
       "      <th>next_pymnt_d</th>\n",
       "      <th>last_credit_pull_d</th>\n",
       "      <th>application_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>37258</td>\n",
       "      <td>38642</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>...</td>\n",
       "      <td>39706</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39717</td>\n",
       "      <td>39667</td>\n",
       "      <td>39717</td>\n",
       "      <td>39646</td>\n",
       "      <td>1140</td>\n",
       "      <td>39715</td>\n",
       "      <td>39717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>371</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "      <td>28820</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>19615</td>\n",
       "      <td>823</td>\n",
       "      <td>50</td>\n",
       "      <td>526</td>\n",
       "      <td>1089</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>2</td>\n",
       "      <td>106</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>36 months</td>\n",
       "      <td>10.99%</td>\n",
       "      <td>B</td>\n",
       "      <td>B3</td>\n",
       "      <td>US Army</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-11</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>...</td>\n",
       "      <td>Debt Consolidation</td>\n",
       "      <td>100xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>Nov-98</td>\n",
       "      <td>0%</td>\n",
       "      <td>f</td>\n",
       "      <td>May-16</td>\n",
       "      <td>Jun-16</td>\n",
       "      <td>May-16</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>29096</td>\n",
       "      <td>956</td>\n",
       "      <td>12020</td>\n",
       "      <td>2917</td>\n",
       "      <td>134</td>\n",
       "      <td>8879</td>\n",
       "      <td>18899</td>\n",
       "      <td>16921</td>\n",
       "      <td>2260</td>\n",
       "      <td>32950</td>\n",
       "      <td>...</td>\n",
       "      <td>2184</td>\n",
       "      <td>597</td>\n",
       "      <td>7099</td>\n",
       "      <td>370</td>\n",
       "      <td>977</td>\n",
       "      <td>39717</td>\n",
       "      <td>1256</td>\n",
       "      <td>1125</td>\n",
       "      <td>10308</td>\n",
       "      <td>39717</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              term int_rate  grade sub_grade emp_title emp_length  \\\n",
       "count        39717    39717  39717     39717     37258      38642   \n",
       "unique           2      371      7        35     28820         11   \n",
       "top      36 months   10.99%      B        B3   US Army  10+ years   \n",
       "freq         29096      956  12020      2917       134       8879   \n",
       "\n",
       "       home_ownership verification_status issue_d loan_status  \\\n",
       "count           39717               39717   39717       39717   \n",
       "unique              5                   3      55           3   \n",
       "top              RENT        Not Verified  Dec-11  Fully Paid   \n",
       "freq            18899               16921    2260       32950   \n",
       "\n",
       "             ...                      title zip_code addr_state  \\\n",
       "count        ...                      39706    39717      39717   \n",
       "unique       ...                      19615      823         50   \n",
       "top          ...         Debt Consolidation    100xx         CA   \n",
       "freq         ...                       2184      597       7099   \n",
       "\n",
       "       earliest_cr_line revol_util initial_list_status last_pymnt_d  \\\n",
       "count             39717      39667               39717        39646   \n",
       "unique              526       1089                   1          101   \n",
       "top              Nov-98         0%                   f       May-16   \n",
       "freq                370        977               39717         1256   \n",
       "\n",
       "       next_pymnt_d last_credit_pull_d application_type  \n",
       "count          1140              39715            39717  \n",
       "unique            2                106                1  \n",
       "top          Jun-16             May-16       INDIVIDUAL  \n",
       "freq           1125              10308            39717  \n",
       "\n",
       "[4 rows x 24 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Summarizing categorical features\n",
    "data.describe(include=['object'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the frequency of each class of these variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fully Paid     32950\n",
       "Charged Off     5627\n",
       "Current         1140\n",
       "Name: loan_status, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['loan_status'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a3596a400>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## We can also use bar plots for this\n",
    "plt.figure(figsize=(9,7))\n",
    "sns.countplot(y='loan_status', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fully Paid has ranks the highest while on the other side charged-off and currently still paying loan amount are below it "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RENT        18899\n",
       "MORTGAGE    17659\n",
       "OWN          3058\n",
       "OTHER          98\n",
       "NONE            3\n",
       "Name: home_ownership, dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['home_ownership'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7c275828>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,7))\n",
    "sns.countplot(y='home_ownership', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rent ranks the highest and secondly the borrowers who has ownership under mortgage. Lastly the borrowers having their own ownership is comparitively less than these both also on the other hand others and none are near to 0 or very less."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for installment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2819aeb8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['installment'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for installment of borrowers:**\n",
    "\n",
    "* Some borrowers owed over the range of 200 p/m for originating loan\n",
    "* The lowest possible range of owing by borrowers reaches upto 1200 p/m.\n",
    "* After 200, 400 is the next highest proceeding range"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for last payment amount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a28324e10>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['last_pymnt_amnt'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for last total amount paid by borrower:**\n",
    "\n",
    "* As per the visualizations, the total amount which were payed by borrowers the very last time say last month is unfortunately hikes towards 0\n",
    "* Further it increases towards 5000, 10000 and 15000 showing an settlement at 20000\n",
    "* Though the graph futher proceeds towards 5000 upto 15000 but the most hitting range is towards 0 which shows the activity of paying total amount of borrowers which is in worst case scenario.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for loan amount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a284de390>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c8mzSRmM6FF+G8X4EZIpIBnAQT6f49Q3qLAHmAquAq4DlqqoisgR4TkT+AKTg+cBfi+dK46w2nX3ecdpY5LT5qnOMf+G58nhSRJLw3NKyucaBXUdO8mHOMe6eMZQwd3Ae7fE2bPSc/gkUlVXy7s5CkmMimZrZfNKuqa3ju4s28vqWApJ6RHLZiN6szivmsfdzmT68tw1FNaaDaDaBqGqNiNwJLAPcwAJV3SYi9wPZqroEeAJYKCI5eK485jj7bhORxcB2oAa4Q1VrARpr0znkj4FFIvIrYIPTNk7dz4vIdqAW+JGqdqlhQI19iF8/uT9PrtxLZJiLORND88E7fXhvisqqeGPrYaIjwppMAHV1yg9f2MTrWwr4/IjeTM1Mxu0Szh2UxIvr83nn46PkFpYxMLlHG56BMcYfPj1IqKpLgaUNyu6rt10BXO1l3weAB3xp0ynPxTNKq2G5At93vozjxKlqXl6fz5Xj+tGze0TzOwSBS4RrJqRSUV3Ly+vzmTa8F7NG9z2rXm2d8rN/beFfGw/xo8uGkhD9WbwRYS6+OKYvu4+c5Fev72DB1ya25SkYY/xgU5l0cM9n76eiuq7NOs+9CXO7+OrkAfTvGc13F23gb+/toaa27tPXS8qr+No/1vLPtQf41sWDuOOSwWe1ERMVzqXDerH846O8s9NGaRvT3tlUJh1YnSpPrdzH5IyejEiJDXU4RIS5mHteOqtzj/HbNz7mtc2HuHxMCqWnq1my6RBHSyv5zZdHc90k77e4zh2UyM7DJ/nla9uZOjgpaH06xpjWs/+dHdjHBaUcPH6am89PD3Uon4oKd/P3Gyfw6A3ncPhEJb9942Pmr8glKtzN4m+e22TyAAhzubh7xlByC8t5c/uRNoraGOMPuwLpwFbuOUa/+G5MH952Q3d9ISLMGt2X6cN7U1VbR/cId4smXvzciD707xnN4x/kMbORvhRjTPtgVyAdVMGJ0+QWlXPjuQPa7W2eiDAXPSLDWjxrr9sl3Hx+Ouv2ldj6I8a0Y+3zk8c0a3XuMcLdwpyJac1X7oCuzkojJjKMJz7IC3UoxhgvLIF0QBXVtWw8cJwxqfHER4dm6G6w9YgMY86kNJZuKeDQ8dOhDscY0whLIB3Q+v0lVNcqUzKCN+tue/DJ0OT5K2zCAWPaI+tEb4e8TRsCnjmk1uQVk5rQjX4J3dowqraXmhDNVeek8tza/XzzokH0iQvuLMPGmJaxBNLB5B0rp/BkJV85p+GM+p3TnZcO5qX1+Tz6bg73zx4V6nBME2yZ3a7HbmF1MGtyi4kKdzG6X+CXrG2P0npGc83ENBatPcBB6wsxpl2xBNKBlFfWsP1QKRP6JxAR1nV+dJ9Me/LwW7tDHIkxpr6u8ynUCWw+eIJaVc4ZkBDqUNpUv/huzD1vAM9nH+CVDfmhDscY47AE0oFs3F9Cn9go+sZ17s7zxtw9YxhTBvbkxy9tYf3+klCHY4zBEkiHUXiykgMlpxnfv2v0fTQU7nbx1xsm0Cc2itueXkf23uJQh2RMl2cJpIPYeKAEAcamds0EApDQPYIFX8siMszFVX9bxSsbDnK6qjbUYRnTZVkC6QDqVNl44DiDe/Ugtlt4qMMJqcG9YvjvXRdyywUZZO8t5k9v7yLnaFmowzKmS7IE0gHsO3aKklPVjEvrulcf9XWPDOPnl4/gfy4eRGSYmwUf5rF0SwGeRSuNMW3FEkgHsOXgCcJc0i4WjWpPUhOiufPSwUzO6MkHOUWs3HMs1CEZ06VYAmnnVJUdBaVk9o4hMswd6nDanXC3iyvGpjCibyxvbC1gg43QMqbNWAJp5w4eP82J09WM7GtXH96ICF85J5W4buHc+dwGjp+qCnVIxnQJlkDauW2HSnEJDOsbE+pQ2rVuEW6um9Sfw6UVPPx2TqjDMaZLsATSzm07VEpGUneiI2zey+akJkTzpfH9eG7tPgpPVoY6HGM6PUsg7djR0gqKyioZmRIX6lA6jDsuGUxVTR2Pv29riBgTbD4lEBGZISI7RSRHRO5p5PVIEXneeX2NiKTXe+1ep3yniFzWXJsikuG0sdtpM6LBsa4SERWRLH9OuCPZVlAKwHDr//BZRlJ3vjg2hYWr91Fcbn0hxgRTswlERNzAI8BMYARwnYiMaFDtFqBEVQcDDwHznH1HAHOAkcAM4FERcTfT5jzgIVXNBEqctj+JJQb4DrDGv9PtWHYUlJKW0I24Lv7wYEvdeclgTlfX8sQHdhViTDD5cgUyCchR1VxVrQIWAbMb1JkNPOVsvwhMExFxyhepaqWq5gE5TnuNtunsc6nTBk6bV9Y7zi+B3wEVLTzPDqessoaDJacZ2sc6z1sqs3cMM0b2YeGqfZRX1vjdTl2dUldnDyca440vCaQfcKDe9/lOWaN1VLUGOAEkNrGvt/JE4LjTxhnHEpHxQJqqvuZDzB1eztEyFBjS2xKIP74xdSClFTW8tN6/6d93HznJ1N+9w/D7/sOMP67g9c2HqLMn3Y05gy8JRBopa/g/yVudgJSLiAvPrbEfNBGnJxCR20QkW0SyCwsLm6vebu0+cpLoCDcp8V1v6vZAOKd/PGPT4vnHh3tbfBWxOf841/x9FdW1ddw4ZQDJMZF8uOcYK3Z13N8nY4LBlwSSD6TV+z4VOOStjoiEAXFAcRP7eisvAuKdNuqXxwCjgHdFZC8wBVjSWEe6qs5X1SxVzUpOTvbh9NqfOlV2HS0js1cPXNJYTjXNERG+fn46eUXlvLvrqM/7bT9UyvWPraFHVBgvfvM8fnb5CJ7++iRG94vjrR1HOFB8KohRG9Ox+JJAPgIyndFREXg6xZc0qLMEmOtsXwUsV8/MdkuAOc4orQwgE1jrrU1nn3ecNnDafFVVT6hqkqqmq2o6sBq4QlWz/Tzvdq3gRAXllTV2+6qVZo3uS5/YKBZ8sNen+lU1dXx/8Ua6Rbh54fbz6J8YDXiS0ZXj+hEbFc7z2QeoqLYp5I0BaPbpNFWtEZE7gWWAG1igqttE5H4gW1WXAE8AC0UkB8+Vxxxn320ishjYDtQAd6hqLUBjbTqH/DGwSER+BWxw2u5Sdh85CcDgXj1CHEngPLdmf5sfM9zt4qbzBvC7/+xk68ETjOrX9PM0f3knh48Pn+Txm7LoExd1xmvdItxck5XG/PdzWbnnGJcO6xXM0I3pEHx6vFlVlwJLG5TdV2+7Arjay74PAA/40qZTnotnlFZT8VzsS9wd1a4jJ0mJjyImyobvttZXpwzgsRW5PPD6Dp67dTLi5Zbg1oMnePSdHL48vh/TR/RutE56Uncye/Vgbd4xLhrSMW+PGhNI9iR6O1NaUc3+4lMM6WW3rwIhNiqc700fwqrcY7y9o/G+kFNVNXzv+Y0kdI/gvi82fMTpTFMGJlJaUcMO5yFPY7oySyDtzNrcYuq0c92+CrXrJ/dnYHJ3fv3GDqpr6854TVX56Stb2VNYxh+vHUd8dISXVjyG9okhPjqc1bm29ogxlkDamVW5xwhzCWk9o0MdSqcR7nZx78zh5BaW8+e3d5+xcuE/1x7glQ0HuWv6EM4fnNRsWy4RJqf3JLeo/NO+KmO6Kksg7czq3GP07xlNuNt+NIE0fXgvvjg2hYeX53Dr0+tYt6+Eu1/cxH2vbuXCIcnceclgn9uakN4Tt0t4etW+IEZsTPtnc4S3I8dPVbG9oNRG+ASBiPDwnHGMT4vnN2/s4K0dR4gKd3H95P784HNDcbl8f96mR2QYo1JiWbLpED+7fLitFGm6LEsg7cjavGJUYWCS9X8Eg4jw9QsymDywJ+v3H+cLo/vSs3vTfR7ejEtLYFP+CX712o4zZku+fnL/QIVrTLtnCaQdWZV7jKhwF2kJNn1JMI1MiWv1GiuDe/UgOsLNxgPHbbp902VZAmlHVucWM2FAAmEh7v8IxUN/HY3bJYzuF8e6fSVUVtcSGW63sUzXYwmknSgpr2JHQSk//PyQFu1nH/ahMy4tnjV5xWwvKGV8/4RQh2NMm7OhPu3EmjzPcwVTBiaGOBLjq7Se0cRHh7Mp/3ioQzEmJCyBtBOrc4vpFu5mTGp8qEMxPnKJMDY1npyjZZS1YuEqYzoqu4UVYp/cgnpjawH9Errx4jr/FkAyLdfY7b+WjqIamxbPe7sK2XLwBOfa1aPpYuwKpB0oq6zhSGklA5O6hzoU00J9YqPoExvFpgN2G8t0PZZA2oG8onIASyAd1NjUOPYXn6K4vCrUoRjTpuwWVjuQV1RGhNtFvwSb/6ojGpMaz7LtR9jcws70QNxCMyaU7AqkHcgtLGdAYjTuFkynYdqPhO4RDOgZzcYDx8+YqNGYzs4SSIiVVdZw9GQlA5Nt+pKObGxaPEdPVvLxYZuh13QdlkBCLLewDLD+j45uVL84XAKvbDgY6lCMaTPWBxJieUXlRIS5SIm3+a+CKdhP7PeIDGN431gWZx/grulD6BYRvKlNauuUY2WViAiRYS66R9p/YxMa9psXYrmF5aRb/0encN6gJB57P5dXNx5kzqTgdIaXVlRzy5Mf8dHekk/LZo3uywU+LIZl2ofONHjCEkgIHT1ZQWFZJRMG2DxKzekIc36lJ0YzvG8sT67cy7UT0xAJ7B8FRWWVzF2wll1HTjJjZB+6R4ax7dAJlm4pIDYqzGYxMG3OEkgIrc4tBmBgcufq/+gIH/bBICLcfF46d7+0mdW5xZw7KHBPppdX1nDd/NUcKDnFYzdlceh4BQBjUuNY8GEeL6zLJyYqPGDHa05X/RmbM1knegitzj1GZJiLvnHW/9FZXDEuhYTocJ5cmRfQdn+xZBs5hWU8MXciFw/9bMXKcLeLG6cMIL5bOC+tz6e6ti6gxzWmKZZAQmj1nmNkJHW3/o9OJCrczQ2TB/Df7UcCNr3J65sLeGFdPndcPJjzG+nriI4IY9bovhSXV/EvGwVm2pBPCUREZojIThHJEZF7Gnk9UkSed15fIyLp9V671ynfKSKXNdemiGQ4bex22oxwyr8vIttFZLOIvC0iA1pz4qF2pLSC3KJyMmz4bqdz+0UDSe4Ryc/+tZXautY9WHjw+GnufXkz49Li+e70TK/1hvWJoV98N/68PKfNr0Jq65Sdh0/yyoZ8Hn03hx0FpW16fBM6zSYQEXEDjwAzgRHAdSIyokG1W4ASVR0MPATMc/YdAcwBRgIzgEdFxN1Mm/OAh1Q1Eyhx2gbYAGSp6hjgReB3/p1y+7A617P+hz1A2PnERIXz0y8MZ8vBE/xzrf99BVU1ddzx7HrqFP40ZxzhTaxUKSJMG9aL/cWn2vRZlDpVnlm9j6dW7WVT/gnKK2t4ZvU+Vu4parMYTOj4cgUyCchR1VxVrQIWAbMb1JkNPOVsvwhME88QlNnAIlWtVNU8IMdpr9E2nX0uddrAafNKAFV9R1VPOeWrgdSWn277sTr3GLFRYfSNiwp1KCYIrhibwrkDE3lw2U4KT1b61cZv3tjBxgPHmfeVMQxIbP5KdWifGEb3i+MvbXgV8u7OQnY6o8J+Oms43502hGF9Y3ltcwHv7jzaJjGY0PElgfQDDtT7Pt8pa7SOqtYAJ4DEJvb1Vp4IHHfa8HYs8FyVvNFYsCJym4hki0h2YWFhsycXKqv2HGNSRiKuAA/1NO2DiPDLK0dSUV3L3AVrKWnhTL2vby7gHx/u5WvnpfOFMX19Pua3Lx3M/uJTvLn9iD9ht0jO0TLe3nGEcWnxTM1MItztIiLMxQ2T+zMqJZblHx/lxOnqoMdhQseXBNLYJ1zDG7ve6gSq/LMDiXwVyAIebKQuqjpfVbNUNSs5ObmxKiFXcOI0e4+dYsrAnqEOxQTR4F4xzL8pi5zCMr76xBqOn/Itiby8Pp/vLtrAuLR4fjJreIuOOW14b9J6duPJlXv9iNh3FdW1PJ99gOSYSGaPSznjmReXCDNH9UUVln8c/ERmQseXBJIPpNX7PhU45K2OiIQBcUBxE/t6Ky8C4p02zjqWiEwHfgpcoar+3RdoB1btsfXPu4qLhiQz/8YJ7D5SxuV//oBXNuR77Vivqavj4bd38/3Fm5iY3pOnvj6JiLCWDZR0u4SbpqSzNq84qJ3ZH+YUUV5Zw1UTUokMO3valoTuEUzM6Mm6fSWfzvddeiwFAAAVm0lEQVRmOh9ffjs/AjKd0VEReDrFlzSoswSY62xfBSxXz7zWS4A5ziitDCATWOutTWefd5w2cNp8FUBExgN/x5M8OvTN1fd3F5HYPYIRfWNDHYppAxcP7cUz35hMbFQ4dz2/ic8/9B73/3s7m/OPs+vISbYePMGybYeZ95+d/OHNXVw5LoWnvj6JuG7+PRh4TVYaUeEungrSVUhJeRUf5BQxMiWW1CbWsLlkaDJul/CHN3cFJQ4Tes0+ia6qNSJyJ7AMcAMLVHWbiNwPZKvqEuAJYKGI5OC58pjj7LtNRBYD24Ea4A5VrQVorE3nkD8GFonIr/CMvHrCKX8Q6AG84Fwu71fVK1r9DrSxujrl/d2FXJCZhMue/2hUZ3zKeVJGT1779gW8tqWAZ1bt49k1+6is+ayj2yUwtE8sd182lIuHJrdqGpS46HC+NL4fr2w4yD0zhxEfHRGIU/jU31fkUlVTx/ThvZusFxMVzvmDknhtcwE/+LwNWe+MfJrKRFWXAksblN1Xb7sCuNrLvg8AD/jSplOei2eUVsPy6b7E2t5tLyilqKyKCzPbZ/9MR9fa5BOM/T+ZKM/lEq4Ym8IVY1Oorq3jT2/tpqa2jvAwF7FR4XSPDOOSYb3O2t8fc89L559rD/D8Rwe4/aJBAWkTPPO3Pbkyj7Fp8fSObX4E4ZSBibyfU8Sitfu5t4X9Oab9syfR29j7uz3j46dm2uypXVm42zOFf//E7vSN6xbwKdmH9YnlvEGJ/OPDvVTVBG5I76Pv7KG6VpnmY6KL7RbO9OG9eGFdPpU1tQGLw7QPlkDa2IpdhQzrE0MvH/56M6Y1br1wIIdLK3h9S8MxL/45dPw0z63Zz9UTUknsEenzftdPHkBxeRXLttmIrM7GEkgbKq+sIXtfMRcNsdtXJvguHpJMZq8ezF+RF5C12v+8fDcA357mfUqVxkwdnERqQjf+2Qn7tro6m869Da3OPUZ1rTLV+j9MGxARbp06kLtf2syHOce4oBW3TfcWlbM4O58bpwygXwtXz3S5hOsm9efBZTvJLSxr0+l7OtPiTe2RXYG0ofd3FxEV7iIr3RaQMm1j9vgUknpE8vcVe1rVzh/f2kW4W/jWJf51yF+dlUqYS1o1N5hpfyyBtBFV5e2Pj3DuwESiwoO3XrYx9UWGubntwgze313EB7v9m+Bw/f4S/rXxEF8/P4NeMf713fWKieJzI3rz4rp8KqqtM72zsATSRrYeLOVA8WlmjvJtXiNjAmXueen07xnN/a9to6aFkyzW1Sm/WLKN3rGR3HHJ4FbFcf3k/pScqmbZtsOtase0H5ZA2sjSrQW4XcLnRjT98JUxgRYZ5uYns4az60hZi28hLc4+wOb8E/xk1vBWDzU+f1AS/XtGd8oHRbsq60RvA6rKG1sKyEjqzhtb7a8v0/YuG9mbcwcm8oc3d3H5mBQSujf/dHpxeRW/W7aTiekJXDE2pdUxuFzCnElp/O4/O8k5WsbgXrYWTkdnVyBtYHtBKXuPnWJ0SlyoQzFdlIhw3xdHUFZZw7eeXd/sw4WVNbV8c+E6yipr+N8rRrVqapX6rp6QZp3pnYglkDbwxpbDuASGp9jkiSa4nluz/6yvTwzvG8vvrhrDqtxj3PvyFq/PhqgqP31lK2v3FvN/V49lRAB/b5NjIrlsZB9eyD7AyQpbK6SjswQSZKrK0i0FTBmYSI8AT1dhTEt9aXwq35ueyUvr87nv1W1nfYiXVdbw/5Zs48V1+Xx3WmZAbl01dPtFAymtqGHh6n0Bb9u0LftEC7Jth0rJLSrn5gsyQh2KMQB8d1oma/OKWbh6H69sOMjUzCS6R4YxvG8sf39vD4VllXztvHS+N71lT5z7akyqZwXDJ97P4+bzMugWYcPaOypLIEH25Mq9dAt3c8XYFF7fXBDqcIxBRLh8TArj0uJ5bXPBGQM7xqTGMf+mLMalxQc1hjsvGcy181ez6KP93Hx+1/zjSlXJLSonv/gUkWEu+iV0Y2J6T9wdaJkHSyBBVFRWyZKNh7hmYqrfiwOZrqUtp95ITYjm9gsHcvxUNQpcOT6FlLhubbJOzeSBiUxMT2D+ilxumDygxSsvdnTbD5WyfOcRDh2vAGCZs4b92LR4/u+qMWT2jglleD6zBBJEi9bup6q2jrnnpoc6FBNC7fm5BxH5dEhvU6sLBsO3L83kpgVr+eu7e/hukG6XtTd1dcqybYd5b1chST0i+dK4fozqF8elw3uRvbeYXy/dwRce/oB7Zw3rEFdmlkCCpLq2jmdW72dqZlKH+WvCmLZ04ZBkZo9L4eHlu7l4aDJjg3zbLNQqqmv54QubeG9XIRPTe3LF2JRPb1dlJHUnI6k7lwzrxT0vbeF//72diuo6/ufiwC0GFgyWQILkP1sPc7i0gge+NCrUoZgOrj1fwbTW/VeMYm1eMXct3sjr3556Voe6t3NvyW292jqluLwKAWKiwlDVgD3X4quK6lpuX7iO93YVMmNkH6ZmJjUaQ1KPSP721XP4/uJNzPvPx7iEgK4oGWiWQIKgorqWB5ftZFBydy4eGpglSo3pjOKiw/m/q8dyw+Nr+OELm/j9NWNbPdloXZ2y4UAJS7ccZsmmQxwrq6Su3iMvj7ybw8xRfblyfArn9E8IejKpnzzmfWU0zU1HFuZ28YdrxlKnym/e+JjoCDc3ttPb4JZAguDPy3ezv/gUz906uUONqDCdk69XMIH4a98f5w9O4iezhvHrpR+TX3KKv9+YRZ+4ls36W1lTy7q9Jfxn22GWbTvMkdJKItwu0pOiGdk3lqSYSAQ4WVGD2y0szj7AwtX7GN8/nh9dNpTzBgVniemyyhq+uXAdH+QUMe8ro7l2Yn+ffh5hbhd/vHYcFdV13LdkG7Hdwpk9rl9QYmwNSyABtvvISeavyOXL5/QL2i+lMZ3NbRcOIj2xO3c9v5EZf1rB7LEpXDGuH9W1dYS7PxuhVafKqapath06QV5RObsOn2Rj/gnW5h2jorqOqHAXFw1JZuaovlw6vBevbTp76Pz1k/tzsqKaVzce4pF3crj+sTVcMDiJH142NKDDlwtPVnLzk2vZUXCSB68aw9VZaS3aP8zt4i/Xj+emBWv5weJN9IgMY9rw9jUZqyWQAKqoruWel7fQPTKMn84aHupwjOlQPj+yD6/ccT5/fGsX//zoAE+t8jypHhHmItztoqa2juraujNuR7kEBvfqwZyJ/TlvUCIXZCYRHdH8x1pMVDhfnTKAqyak8szqfTz67h6ufORDPj+iNz/4/FCG9mndwJd1+0q46/mNHD1ZwWM3TeDSYf598EeFu3l8bhY3PLaG2xeu46Frx/HFIMwO4C9LIAFSUV3LN59Zx7p9JTx83XgSe0SGOiRj2oWWPNsypHcMj94wgdKKat7dWcjrmw5RVllDda0S7hbC3S56RIUxa3RfBiRGMyi5R6v6TKLC3Xxj6kDmTOrPPz7IY/6KXGb8aQVXjuvH7RcNZFifls0DVl5Zwx/f2sXjH+SREteNf946hfH9W7cCaWxUOM/eOplvPJnNdxZt4PipKr46ZUCbDwRojE8JRERmAH8C3MDjqvrbBq9HAk8DE4BjwLWqutd57V7gFqAW+I6qLmuqTRHJABYBPYH1wI2qWtXUMULtVJVnhtN3dxby2y+PDsr8QcaESihGgcVGhXPF2BTKKmoafX3W6MAuzNYjMoxvT8vkxnMH8Lf3cnlyZR6vbDjIkN49mDW6LxMGJDAmNb7RB4LLKmvYfqiUf208yJKNnoR3w+T+3DNzGDFRgXmAODYqnKe+PolvPbuOn7+6jQ9yivjVlaNJjgntH6rNJhARcQOPAJ8D8oGPRGSJqm6vV+0WoERVB4vIHGAecK2IjADmACOBFOAtERni7OOtzXnAQ6q6SET+5rT9V2/HaO0b0Bq1dcpL6/P5/X93cqS0kt9+eTRzJgW3w9GYzqo9DFeOj47gnpnDuHVqBku3FPD4B3n88a3dn74eFe4iNSGa7hFuqmqVkxXV5JecBiAyzMXlY1K48dwBQZkKpluEm8fnTuTx93P5/Zu7+PxD7/GNqQO5dmIaSSG64+HLFcgkIEdVcwFEZBEwG6ifQGYDv3C2XwT+Ip7rq9nAIlWtBPJEJMdpj8baFJEdwKXA9U6dp5x2/+rtGOptTuoAUlWqnV+Wg8dPk1dUzsqcY6zYXUjBiQrGpcXzyPXnkJXeM9ihGNMpBCNZBLLNxB6R3HhuOm6Xi4rqWvJLTnOw5BQnKqqJ7xbB6epaIsJcREf04NqsNIb2iWHywMSzrlACfZ5ul3D7RYO4dFgv7n9tOw8u28mf3trNBZlJzlVSHCnx3egTG9XqFSR94csR+gEH6n2fD0z2VkdVa0TkBJDolK9usO8nY9EaazMROK6qNY3U93aMIh/OoUWWbTvMj17YRE2dUl1bR3Xt2TkqJiqM8wcl8fPLU5g5qk+7uB9pTFfRmg/mlu4bFe5mcK8eTa6gWFRW1aaTpWb2jmHhLZPJOVrGs2v2sWJXIcs/PnpGndsvHMi9QR7M40sCaeyTseEnqrc63sobmzmtqfq+xoGI3Abc5nxbJiI7G9kvILYCf2+6ShJBSHABYHG1XHuNzeJqmXYZ1w1BiOsn8+An/u8+wJdKviSQfKD+AOZU4JCXOvkiEgbEAcXN7NtYeREQLyJhzlVI/frejnEGVZ0PzPfhvIJORLJVNSvUcTRkcbVce43N4moZiyuwfJlD+SMgU0QyRCQCT6f4kgZ1lgBzne2rgOVO38QSYI6IRDqjqzKBtd7adPZ5x2kDp81XmzmGMcaYEGj2CsTpb7gTWIZnyO0CVd0mIvcD2aq6BHgCWOh0khfjSQg49Rbj6XCvAe5Q1VqAxtp0DvljYJGI/ArY4LSNt2MYY4wJDbE/4oNHRG5zbqm1KxZXy7XX2CyulrG4AssSiDHGGL90rXUkjTHGBIwlkCARkRkislNEckTknjY65l4R2SIiG0Uk2ynrKSJvishu598Ep1xE5GEnvs0ick69duY69XeLyFxvx2sijgUiclREttYrC1gcIjLBOc8cZ1+fHsLxEtcvROSg855tFJFZ9V671znGThG5rF55oz9bZ1DIGife550BIr7ElSYi74jIDhHZJiLfbQ/vWRNxhfQ9E5EoEVkrIpucuP63qbbEM4jneefYa0Qk3d94/YzrSRHJq/d+jXPK2+x3P2hU1b4C/IVnYMAeYCAQAWwCRrTBcfcCSQ3Kfgfc42zfA8xztmcBb+B5vmYKsMYp7wnkOv8mONsJLYzjQuAcYGsw4sAzku9cZ583gJmtiOsXwA8bqTvC+blFAhnOz9Pd1M8WWAzMcbb/BvyPj3H1Bc5xtmOAXc7xQ/qeNRFXSN8z5xx6ONvhwBrnfWi0LeBbwN+c7TnA8/7G62dcTwJXNVK/zX73g/VlVyDB8en0L6pahWdyyNkhimU2nilhcP69sl750+qxGs/zN32By4A3VbVYVUuAN4EZLTmgqq7g7Gd0AhKH81qsqq5Sz/+op+u15U9c3nw6DY+q5gGfTMPT6M/W+UvwUjzT7DQ8x+biKlDV9c72SWAHnpkXQvqeNRGXN23ynjnnXeZ8G+58aRNt1X8fXwSmOcduUbytiMubNvvdDxZLIMHR2PQvbbGcmAL/FZF14nkiH6C3qhaA5wMB+GSNXW8xBiv2QMXRz9kOZHx3OrcQFnxym8iPuJqahsdnzu2V8Xj+em0371mDuCDE75mIuEVkI3AUzwfsnibaOmMaJKD+VEsB/T/QMC5V/eT9esB5vx4Sz8ziZ8Tl4/GD8bvfKpZAgsOnaVeC4HxVPQeYCdwhIhc2Ubel088ES0vjCHR8fwUGAeOAAuD3oYpLRHoALwHfU9XSpqq2ZWyNxBXy90xVa1V1HJ7ZKiYBjU361Nw0SEGPS0RGAfcCw4CJeG5L/bit4woWSyDB4cv0LwGnqoecf48Cr+D5j3XEufTF+feTGde8xRis2AMVR76zHZD4VPWI85++DniMz2aLbmlcn07D409cIhKO50P6WVV92SkO+XvWWFzt5T1zYjkOvIunD8FbW58eX3ybaqnV/wfqxTXDuRWo6pmV/B/4/34F9Hc/IILZwdJVv/A84Z+Lp2Puk064kUE+Zncgpt72Sjx9Fw9yZkfs75ztL3BmB95ap7wnkIen8y7B2e7pRzzpnNlZHbA48EyFM4XPOhJntSKuvvW278JzTxw8a9jU72DNxdO56vVnC7zAmZ243/IxJsFzP/uPDcpD+p41EVdI3zMgGYh3trsB7wOXe2sLuIMzO9EX+xuvn3H1rfd+/hH4bSh+94PyuRPKg3fmLzwjLHbhuTf70zY43kDnF30TsO2TY+K51/s2sNv595NfRMGzqNceYAuQVa+tr+PpUMwBbvYjln/iubVRjeevplsCGQeQhWcy5D3AX3AeiPUzroXOcTfjmW+t/ofjT51j7KTeaBdvP1vnZ7DWifcFINLHuC7AcytiM7DR+ZoV6vesibhC+p4BY/BMc7TZOaf7mmoLiHK+z3FeH+hvvH7Gtdx5v7YCz/DZSK02+90P1pc9iW6MMcYv1gdijDHGL5ZAjDHG+MUSiDHGGL9YAjHGGOMXSyDGGGP8YgnEGGOMXyyBGNOAiJQ1X6v9EpErRWREqOMwnZ8lEGM6nyvxTFVuTFBZAjHGC2fBnwdFZKuziM+1TnkPEXlbRNY75bOd8nTxLL70mLOg0H9FpFsT7d8qIh85CxC9JCLRTvmTIvJX8SzmlCsiFzmz3u4QkSfr7V8mIg84+68Wkd4ich5wBfCgs3jRoKC+SaZLswRijHdfxjPj7FhgOp4P5b5ABfAl9cx8fAnw+3orw2UCj6jqSOA48JUm2n9ZVSeq6lg8a23cUu+1BDzrW9wF/Bt4CM/cTaM/WdEOz5xnq539VwC3qupKPNOL/EhVx6nqnta9BcZ4ZwnEGO8uAP6pnplnjwDv4ZmSW4Bfi8hm4C08azL0dvbJU9WNzvY6PJM3ejNKRN4XkS3ADXgSxCf+rZ55hrYAR1R1i3pmv91Wr80q4DUfj2VMwIU1X8WYLsvbetM34Jl5dYKqVovIXjwT9gFU1qtXi2dWVm+eBK5U1U0i8jXg4nqvfdJOXYM26/js/221fjaZXS32/9m0MbsCMca7FcC1zipzyXjWVF+LZz2Jo07yuAQY4Gf7MUCBs+bGDQGJ2OOk07YxQWUJxBjvXsEzNfcmPFNy362qh4FngSwRycbzwf+xn+3/HM8SsW+2oo3GLAJ+JCIbrBPdBJNN526MMcYvdgVijDHGL9bpZkyQicgjwPkNiv+kqv8IRTzGBIrdwjLGGOMXu4VljDHGL5ZAjDHG+MUSiDHGGL9YAjHGGOMXSyDGGGP88v8B/TuWOMXF2ZcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['loan_amnt'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for the loan amount applied by the borrower:**\n",
    "* As per the observations,the KDE of the loan amount applied by each borrower is so variable and accordingly the graph is also varying from every perspective\n",
    "* Important to mention, the highest range here hikes to 10000 whereas the lowest one hitting towards 30000 amongst all the plotted and given points\n",
    "* After 10000 being first, the second in this scenario is 5000 and third is 15000 respectively."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for outstanding principal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a285f4a20>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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b1lcBh6ZqI6kTWA4cnq6vpCVUYfB521+a6sFt3267z3Zfd3d3jeFGRMRc1AmEPcAaST2SuqhOEg+0tBkANpXla4CHbLvU+8tVSD3AGuDhcn7hDuBx23+6EBOJiIj56Zypge1xSTcADwIN4E7beyXdBAzaHqD65X6PpGGqVwb9pe9eSTuAfVRXFm22PSHpncDvA9+T9Gh5qP9ue9dCTzAiIuqZMRAAyi/qXS21G5uWjwHXTtF3G7Ctpfb3tD+/EBERZ0neqRwREUACISIiigRCREQACYSIiCgSCBERASQQIiKiSCBERASQQIiIiCKBEBERQAIhIiKKBEJERAAJhIiIKBIIEREBJBAiIqJIIEREBJBAiIiIIoEQERFAAiEiIopagSBpvaQhScOStrTZvlTSfWX7bkmrm7ZtLfUhSVc11e+U9KSkxxZiIhERMT8zBoKkBnArcDXQC2yU1NvS7DrgaduXAbcAN5e+vUA/cDmwHrit7A/grlKLiIhzQJ1XCGuBYdv7bR8HtgMbWtpsAO4uyzuBdZJU6tttj9k+AAyX/WH774DDCzCHiIhYAHUCYSVwsGl9pNTatrE9DhwBVtTsGxER54A6gaA2NddsU6fv9A8uXS9pUNLg6OjobLpGRMQs1AmEEeDSpvVVwKGp2kjqBJZTHQ6q03datm+33We7r7u7ezZdIyJiFuoEwh5gjaQeSV1UJ4kHWtoMAJvK8jXAQ7Zd6v3lKqQeYA3w8MIMPSIiFtKMgVDOCdwAPAg8DuywvVfSTZI+UJrdAayQNAx8HNhS+u4FdgD7gC8Dm21PAEi6F/gH4I2SRiRdt7BTi4iI2eis08j2LmBXS+3GpuVjwLVT9N0GbGtT3zirkUZExGmVdypHRASQQIiIiCKBEBERQAIhIiKKBEJERAAJhIiIKBIIEREBJBAiIqJIIEREBJBAiIiIIoEQERFAAiEiIooEQkREAAmEiIgoEggREQEkECIiokggREQEkECIiIiiViBIWi9pSNKwpC1tti+VdF/ZvlvS6qZtW0t9SNJVdfcZERFn1oyBIKkB3ApcDfQCGyX1tjS7Dnja9mXALcDNpW8v0A9cDqwHbpPUqLnPiIg4gzprtFkLDNveDyBpO7AB2NfUZgPwqbK8E/gLSSr17bbHgAOShsv+qLHPBTPwnUM88uOnmZw04zaTk2Zi0pyYnOQnh5/l2IkJxsYnGBufBFd93NTffmGtuT4+YY48d4Ijz53AmK5GB12dHXR1NuhqdLC0s4MlDZVaBx0SR4+N88yxE4yNTzJp0+jo4OLzl7D8/CV0NkSHRIegQ0JlWYKjx8Y5/OwJnjs+wZKGaHSIJY0OOjtEZ0N0dnTQ2ahqHRLHTkxwdGycSZtXnLeEi87rpKvRwZLOqk9XZweTk+apo8d56ugYSzs7WH7+Ejo6xM+fPcHRsXEu6GrwivOqcU1OmgmbScPkpJm0mZiESZ9cfmFbZ0Ocv6RBo0M8c2yco2PjLOtqcMmyLpZ1NZCEBMeOT/DcifJxvPp6LD9/Ca84rxNJz+93wgbDkvL1PTExWc1t0lyyrIuLz1/CiQlzdGwcA8u6GnR1dnD02Di/GBunq9HBxRcsYWlnB08/W32/LlzayYoLu2h0iF8cG+fZ4xMIXvj6d4jqufni55JoKbS0UUvtZPvW/VQ1TdGnTZvWbaUwMTHJ8YlJJiZh2dIG5y9pYMPY+AQTk37++318woydmHh+nyefYyfn2vH8c61atl091w3GlG9B+fzCOqWdzfN9Tv64NDr0wkf5np/cZ/WpaT9N/SSe/15w8mcB6Og4+TgnxzL9GKfS+j1s+71pXW/b5pQnx4z7aR3v5BRfz8nJpq8rcP6SBh966+umnNNCqRMIK4GDTesjwFunamN7XNIRYEWp/7+WvivL8kz7BEDS9cD1ZfWopKEaY27nVcBTc+x7Lsj4z67FPn5Y/HN4WY//d+f+uP+8bsM6gdAm906J36naTFVvd6iqbaTbvh24fboB1iFp0HbffPdztmT8Z9diHz8s/jlk/KdfnZPKI8ClTeurgENTtZHUCSwHDk/Tt84+IyLiDKoTCHuANZJ6JHVRnSQeaGkzAGwqy9cAD7k68D4A9JerkHqANcDDNfcZERFn0IyHjMo5gRuAB4EGcKftvZJuAgZtDwB3APeUk8aHqX7BU9rtoDpZPA5stj0B0G6fCz+9F5n3YaezLOM/uxb7+GHxzyHjP83UfAVNRES8fOWdyhERASQQIiKieMkHwrl8iwxJd0p6UtJjTbVXSvqqpB+Wz5eUuiT9eZnHdyVd2dRnU2n/Q0mb2j3WaRj7pZK+IelxSXslfXQxjb887nmSHpb0nTKHPyn1nnILlh+WW7J0lfqsb9FyhubRkPRtSQ8stvFLekLS9yQ9Kmmw1BbTc+hiSTslfb/8LLx9MY3/FLZfsh9UJ6x/BLwe6AK+A/Se7XE1je9dwJXAY021/wFsKctbgJvL8m8B/5fqvR1vA3aX+iuB/eXzJWX5kjMw9tcAV5bli4AfUN2GZFGMvzy2gAvL8hJgdxnbDqC/1D8L/Key/EfAZ8tyP3BfWe4tz62lQE95zjXO4PPo48AXgAfK+qIZP/AE8KqW2mJ6Dt0N/Iey3AVcvJjGf8p8zsaDnrHJwduBB5vWtwJbz/a4Wsa4mhcHwhDwmrL8GmCoLP8lsLG1HbAR+Mum+ovancF5/G/gvYt4/BcA36J6x/xTQGfrc4jqqri3l+XO0k6tz6vmdmdg3KuArwPvBh4o41lM43+CUwNhUTyHgFcABygX5yy28bf7eKkfMmp3242VU7Q9V7za9s8AyudfKfWp5nLW51gOPVxB9Rf2ohp/OdzyKPAk8FWqv45/bnu8zXhedIsWoPkWLWdrDp8G/hiYLOsrWFzjN/AVSY+ouk0NLJ7n0OuBUeCvyiG7z0laxuIZ/yle6oFQ57Ybi8Vsbw9yRki6EPhr4GO2n5muaZvaWR+/7Qnbb6H6S3st8GvTjOecmoOk9wNP2n6kuTzNWM6p8RfvsH0l1Z2PN0t61zRtz7Xxd1Id8v2M7SuAX1IdIprKuTb+U7zUA2Ex3iLjnyS9BqB8frLUz7nbgEhaQhUGn7f9pVJeNONvZvvnwDepju1erOoWLK3jme0tWk63dwAfkPQEsJ3qsNGnWTzjx/ah8vlJ4H6qUF4sz6ERYMT27rK+kyogFsv4T/FSD4TFeIuM5tuAbKI6Nn+y/gflSoW3AUfKy9EHgfdJuqRczfC+UjutJInqHeqP2/7TxTb+ModuSReX5fOB9wCPA9+gugVLuznM5hYtp5XtrbZX2V5N9dx+yPbvLpbxS1om6aKTy1Tf+8dYJM8h2/8IHJT0xlJaR3VXhkUx/rbOxomLM/lBdWb/B1THhj95tsfTMrZ7gZ8BJ6j+SriO6pju14Efls+vLG1F9U+FfgR8D+hr2s+/B4bLx0fO0NjfSfWy9rvAo+XjtxbL+Mvj/gbw7TKHx4AbS/31VL8Qh4EvAktL/byyPly2v75pX58scxsCrj4Lz6V/wwtXGS2K8Zdxfqd87D3587nInkNvAQbLc+hvqK4SWjTjb/3IrSsiIgJ46R8yioiImhIIEREBJBAiIqJIIEREBJBAiIiIIoEQ0YakD0t67dkeR8SZlECIaO/DwLwDoekdwxHnvLwPIV42JH2c6g1AAJ+jeiPRA7Z/vWz/BHAh1ZvU7gJ+CjxHdefP59rs7wngPuA3S+lDtocl3UV1S4grqO6g+gvgdVRvxHod8Gnbf1728QfAJyhv8rP9+6X/MeBy4NXAx20/sFBfh4ip5K+XeFmQ9C+Aj1Dd3lpUd2b923Ztbe+UdAPwCduDM+z6Gdtryy/2TwPvL/U3AO+xPSHpU8CbqILjImBI0mdKm09S3eDtKUmvbNrvauBfA78KfEPSZbaPzXbeEbORQ0bxcvFO4H7bv7R9FPgS8K8WYL/3Nn1+e1P9i7Ynmtb/j+0x209R3ezs1VQ3o9tZatg+3NR+h+1J2z+k+ocpb1qAsUZMK4EQLxftbjF8MS/+GThvDvv1FMu/bGk31rQ8QfXqXEx9m+PWeo7txmmXQIiXi78D/q2kC8qdNX+H6t8Z/oqkFZKW8sLhHqiO+19UY78fbPr8D7Mc09eBfydpBVT/S7hp27WSOiT9KtW5h6FZ7jti1nIOIV4WbH+rnKw9eVvnz9neI+kmqvMJB4DvN3W5C/ispClPKhdLJe2m+uNq4yzHtFfSNuBvJU1Q3Xn1w2XzENU5jlcDf5jzB3Em5CqjiDkqVxn1nTwHsID7vYvq6qedC7nfiJnkkFFERAB5hRAxI0n3Az0t5f9m++z8V6uI0ySBEBERQA4ZRUREkUCIiAgggRAREUUCISIigARCREQU/x+1qoX9Ra126gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['out_prncp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for total payment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2d7b6358>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['total_pymnt'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for the total payment recieved for the funded amount:**\n",
    "\n",
    "* The ammount of total payment recieved ranges high upto 10000\n",
    "* As per the observations, the highest value matches to the highest value of \"loan_amnt\" which indicates the loan amount for which borrowers applied for, both are having the value of 10000\n",
    "* After 10000, the next value is 20000 which is pretty high further it proceeds with 30000 and 40000 where it settle down towards 50000 and finally at 60000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for total recent interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2d75dd68>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['total_rec_int'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for the total interest recived upto date:**\n",
    "\n",
    "* Observing the graph then the graph goes toawrds the high range of 0 and further somewhere it goes up to 5000 and so on. \n",
    "* Though this graph of total intersst revieved from borrowers is quite disappointing but still because it goes up from 5000 and settling down after reaching to 10000 doesn't makes much but definetly some sense."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "KDE for total recent principal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2e499f98>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['total_rec_prncp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations from above plotted KDE for the total principal amount recived upto date:**\n",
    "\n",
    "* Here the value for principal amount recieved from borrower highest reaches to 5000 and 10000 which is almost or you can say equal in all aspects.\n",
    "* The next highest value ranges to 15000 then 20000\n",
    "* The two lowest of all these are values which are 35000 and 30000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.3 Bivariate Analysis\n",
    "* By using Bi-Variate Analysis we will be taking two features into consideration where scatter plot will be used for the purpose of visualizations to perfectly understand that which features vs. which which features cassifies best for the purpose of classifying the objective"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2D plot of loan status by taking loan amount Vs. last payment amount into consideration done by the borrower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a30080438>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450.625x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')   ## Background Grid\n",
    "sns.FacetGrid(data, hue = 'loan_status', size = 5).map(plt.scatter, 'loan_amnt', 'last_pymnt_amnt').add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "* From the above 2D plot the amount of borrowers who fully paid is denser that is appreciated\n",
    "* On the other hand charged-off borrowers are wide spread over fully paid borrowers too\n",
    "* The current i.e the borrowers which are still in the process of paying the loan amount is *linearly seperable* amongst all three features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2D plot of loan status by taking total recent interest Vs. total recent principal amount into consideration done by the borrower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a64537240>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 450.625x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')   ## Background Grid\n",
    "sns.FacetGrid(data, hue = 'loan_status', size = 5).map(plt.scatter, 'total_rec_int', 'total_rec_prncp').add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "* According to the 2D plot, then fullly paid borrowers are spread amongst charged-off and currently paying borrowers. \n",
    "* Again here being kind of *sprayed-off* or spreaded everywhere, the current i.e currently still paying borrowers are easily distinguishable - more technically - *linearly seperable*\n",
    "* The status of defaults i.e Charged-off seems not so distinguishable as they are divided into parts where it goes to rest of the two parameters."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Home ownership can also give us some intutive results which is also an important feature. On the basis of ownership we can predict whether owner is about to pay rest of the remaining loan amount or may fall off in defaults**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2D plot of home ownership by taking loan amount Vs.last payment amount into consideration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a7bf28ef0>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 454.125x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')   ## Background Grid\n",
    "sns.FacetGrid(data, hue = 'home_ownership', size = 5).map(plt.scatter, 'loan_amnt', 'last_pymnt_amnt').add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "* As per taking loan amount and last payment done by the borrower, the home ownership status clears most of the points.\n",
    "* Here, many borrowers are those voh have kept their on mortgage meaning that borrowers who kept their property as an asset that if they fail to pay the outstanding loan amount then their home ownership would be undertaken by the bank itself\n",
    "* The borrowers who has their residence on rent is not much distinguishable as its scattered throughout and over other features but then too it is noticeable that they are very rare\n",
    "* Borrowers having their own house are also comparatively less than those who are on rent\n",
    "* The another distinguishable feature is others which are again very less in number count and scattered all around but still distinguishable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2D plot of home ownership by taking total recent interest Vs.totsl recent principal amount into consideration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a4d67e390>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 454.125x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')   ## Background Grid\n",
    "sns.FacetGrid(data, hue = 'home_ownership', size = 5).map(plt.scatter, 'total_rec_int', 'total_rec_prncp').add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "* As per the previous visualization when taking total recent interest and total recent principal into consideration regarding home ownership, again mortgage has massive scattered and widespread also dense visualization which clearly depicts that most of the borrowers are mortgage.\n",
    "* Rest of the other visualizations too are somehow similar to previous ones, nothing much change is observed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Reaching to the conclusion, after observing the visualizations not all borrowers are in the range where they can fall in the category of Fully Paid or Current because comparatively the graph are towards features which is more linear seperable or distiguishable which shows the dominance of that particular feature amongst all the other features.\n",
    "* Taking historical dataset into account then most of the borrowers are found to be of charged off category i.e who are defaulters.\n",
    "* On the other hand while comparing the loan status with loan amount for which borrowers applied for Vs. the amount paid by the borrowers last time then the graph hikes maximum towards fully paid as this feature is densly populated but again the borrowers who are still currently paying the loan amount seems to be linearly seperable or distinguishable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}