data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration - Analyze [Lending Club's Loan Data](https://www.kaggle.com/wendykan/lending-club-loan-data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find important features from the dataset using plots and statistics!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Import Libraries </h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(887379, 74)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>member_id</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>funded_amnt</th>\n",
       "      <th>funded_amnt_inv</th>\n",
       "      <th>term</th>\n",
       "      <th>int_rate</th>\n",
       "      <th>installment</th>\n",
       "      <th>grade</th>\n",
       "      <th>sub_grade</th>\n",
       "      <th>emp_title</th>\n",
       "      <th>emp_length</th>\n",
       "      <th>home_ownership</th>\n",
       "      <th>annual_inc</th>\n",
       "      <th>verification_status</th>\n",
       "      <th>issue_d</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>pymnt_plan</th>\n",
       "      <th>url</th>\n",
       "      <th>desc</th>\n",
       "      <th>purpose</th>\n",
       "      <th>title</th>\n",
       "      <th>zip_code</th>\n",
       "      <th>addr_state</th>\n",
       "      <th>dti</th>\n",
       "      <th>delinq_2yrs</th>\n",
       "      <th>earliest_cr_line</th>\n",
       "      <th>inq_last_6mths</th>\n",
       "      <th>mths_since_last_delinq</th>\n",
       "      <th>mths_since_last_record</th>\n",
       "      <th>open_acc</th>\n",
       "      <th>pub_rec</th>\n",
       "      <th>revol_bal</th>\n",
       "      <th>revol_util</th>\n",
       "      <th>total_acc</th>\n",
       "      <th>initial_list_status</th>\n",
       "      <th>out_prncp</th>\n",
       "      <th>out_prncp_inv</th>\n",
       "      <th>total_pymnt</th>\n",
       "      <th>total_pymnt_inv</th>\n",
       "      <th>total_rec_prncp</th>\n",
       "      <th>total_rec_int</th>\n",
       "      <th>total_rec_late_fee</th>\n",
       "      <th>recoveries</th>\n",
       "      <th>collection_recovery_fee</th>\n",
       "      <th>last_pymnt_d</th>\n",
       "      <th>last_pymnt_amnt</th>\n",
       "      <th>next_pymnt_d</th>\n",
       "      <th>last_credit_pull_d</th>\n",
       "      <th>collections_12_mths_ex_med</th>\n",
       "      <th>mths_since_last_major_derog</th>\n",
       "      <th>policy_code</th>\n",
       "      <th>application_type</th>\n",
       "      <th>annual_inc_joint</th>\n",
       "      <th>dti_joint</th>\n",
       "      <th>verification_status_joint</th>\n",
       "      <th>acc_now_delinq</th>\n",
       "      <th>tot_coll_amt</th>\n",
       "      <th>tot_cur_bal</th>\n",
       "      <th>open_acc_6m</th>\n",
       "      <th>open_il_6m</th>\n",
       "      <th>open_il_12m</th>\n",
       "      <th>open_il_24m</th>\n",
       "      <th>mths_since_rcnt_il</th>\n",
       "      <th>total_bal_il</th>\n",
       "      <th>il_util</th>\n",
       "      <th>open_rv_12m</th>\n",
       "      <th>open_rv_24m</th>\n",
       "      <th>max_bal_bc</th>\n",
       "      <th>all_util</th>\n",
       "      <th>total_rev_hi_lim</th>\n",
       "      <th>inq_fi</th>\n",
       "      <th>total_cu_tl</th>\n",
       "      <th>inq_last_12m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1077501</td>\n",
       "      <td>1296599</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>4975.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>10.65</td>\n",
       "      <td>162.87</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>Verified</td>\n",
       "      <td>Dec-2011</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://www.lendingclub.com/browse/loanDetail....</td>\n",
       "      <td>Borrower added on 12/22/11 &gt; I need to upgra...</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>Computer</td>\n",
       "      <td>860xx</td>\n",
       "      <td>AZ</td>\n",
       "      <td>27.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-1985</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13648.0</td>\n",
       "      <td>83.7</td>\n",
       "      <td>9.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5861.071414</td>\n",
       "      <td>5831.78</td>\n",
       "      <td>5000.00</td>\n",
       "      <td>861.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Jan-2015</td>\n",
       "      <td>171.62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jan-2016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>2500.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>15.27</td>\n",
       "      <td>59.83</td>\n",
       "      <td>C</td>\n",
       "      <td>C4</td>\n",
       "      <td>Ryder</td>\n",
       "      <td>&lt; 1 year</td>\n",
       "      <td>RENT</td>\n",
       "      <td>30000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2011</td>\n",
       "      <td>Charged Off</td>\n",
       "      <td>n</td>\n",
       "      <td>https://www.lendingclub.com/browse/loanDetail....</td>\n",
       "      <td>Borrower added on 12/22/11 &gt; I plan to use t...</td>\n",
       "      <td>car</td>\n",
       "      <td>bike</td>\n",
       "      <td>309xx</td>\n",
       "      <td>GA</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Apr-1999</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1687.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1008.710000</td>\n",
       "      <td>1008.71</td>\n",
       "      <td>456.46</td>\n",
       "      <td>435.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>117.08</td>\n",
       "      <td>1.11</td>\n",
       "      <td>Apr-2013</td>\n",
       "      <td>119.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sep-2013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>2400.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>15.96</td>\n",
       "      <td>84.33</td>\n",
       "      <td>C</td>\n",
       "      <td>C5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>12252.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Dec-2011</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://www.lendingclub.com/browse/loanDetail....</td>\n",
       "      <td>NaN</td>\n",
       "      <td>small_business</td>\n",
       "      <td>real estate business</td>\n",
       "      <td>606xx</td>\n",
       "      <td>IL</td>\n",
       "      <td>8.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Nov-2001</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2956.0</td>\n",
       "      <td>98.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3003.653644</td>\n",
       "      <td>3003.65</td>\n",
       "      <td>2400.00</td>\n",
       "      <td>603.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Jun-2014</td>\n",
       "      <td>649.91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jan-2016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>10000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>36 months</td>\n",
       "      <td>13.49</td>\n",
       "      <td>339.31</td>\n",
       "      <td>C</td>\n",
       "      <td>C1</td>\n",
       "      <td>AIR RESOURCES BOARD</td>\n",
       "      <td>10+ years</td>\n",
       "      <td>RENT</td>\n",
       "      <td>49200.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2011</td>\n",
       "      <td>Fully Paid</td>\n",
       "      <td>n</td>\n",
       "      <td>https://www.lendingclub.com/browse/loanDetail....</td>\n",
       "      <td>Borrower added on 12/21/11 &gt; to pay for prop...</td>\n",
       "      <td>other</td>\n",
       "      <td>personel</td>\n",
       "      <td>917xx</td>\n",
       "      <td>CA</td>\n",
       "      <td>20.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Feb-1996</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5598.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>f</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12226.302212</td>\n",
       "      <td>12226.30</td>\n",
       "      <td>10000.00</td>\n",
       "      <td>2209.33</td>\n",
       "      <td>16.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Jan-2015</td>\n",
       "      <td>357.48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jan-2015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>3000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>60 months</td>\n",
       "      <td>12.69</td>\n",
       "      <td>67.79</td>\n",
       "      <td>B</td>\n",
       "      <td>B5</td>\n",
       "      <td>University Medical Group</td>\n",
       "      <td>1 year</td>\n",
       "      <td>RENT</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>Source Verified</td>\n",
       "      <td>Dec-2011</td>\n",
       "      <td>Current</td>\n",
       "      <td>n</td>\n",
       "      <td>https://www.lendingclub.com/browse/loanDetail....</td>\n",
       "      <td>Borrower added on 12/21/11 &gt; I plan on combi...</td>\n",
       "      <td>other</td>\n",
       "      <td>Personal</td>\n",
       "      <td>972xx</td>\n",
       "      <td>OR</td>\n",
       "      <td>17.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jan-1996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27783.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>38.0</td>\n",
       "      <td>f</td>\n",
       "      <td>766.9</td>\n",
       "      <td>766.9</td>\n",
       "      <td>3242.170000</td>\n",
       "      <td>3242.17</td>\n",
       "      <td>2233.10</td>\n",
       "      <td>1009.07</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Jan-2016</td>\n",
       "      <td>67.79</td>\n",
       "      <td>Feb-2016</td>\n",
       "      <td>Jan-2016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>INDIVIDUAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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",
       "</div>"
      ],
      "text/plain": [
       "        id  member_id  loan_amnt  funded_amnt  funded_amnt_inv        term  \\\n",
       "0  1077501    1296599     5000.0       5000.0           4975.0   36 months   \n",
       "1  1077430    1314167     2500.0       2500.0           2500.0   60 months   \n",
       "2  1077175    1313524     2400.0       2400.0           2400.0   36 months   \n",
       "3  1076863    1277178    10000.0      10000.0          10000.0   36 months   \n",
       "4  1075358    1311748     3000.0       3000.0           3000.0   60 months   \n",
       "\n",
       "   int_rate  installment grade sub_grade                 emp_title emp_length  \\\n",
       "0     10.65       162.87     B        B2                       NaN  10+ years   \n",
       "1     15.27        59.83     C        C4                     Ryder   < 1 year   \n",
       "2     15.96        84.33     C        C5                       NaN  10+ years   \n",
       "3     13.49       339.31     C        C1       AIR RESOURCES BOARD  10+ years   \n",
       "4     12.69        67.79     B        B5  University Medical Group     1 year   \n",
       "\n",
       "  home_ownership  annual_inc verification_status   issue_d  loan_status  \\\n",
       "0           RENT     24000.0            Verified  Dec-2011   Fully Paid   \n",
       "1           RENT     30000.0     Source Verified  Dec-2011  Charged Off   \n",
       "2           RENT     12252.0        Not Verified  Dec-2011   Fully Paid   \n",
       "3           RENT     49200.0     Source Verified  Dec-2011   Fully Paid   \n",
       "4           RENT     80000.0     Source Verified  Dec-2011      Current   \n",
       "\n",
       "  pymnt_plan                                                url  \\\n",
       "0          n  https://www.lendingclub.com/browse/loanDetail....   \n",
       "1          n  https://www.lendingclub.com/browse/loanDetail....   \n",
       "2          n  https://www.lendingclub.com/browse/loanDetail....   \n",
       "3          n  https://www.lendingclub.com/browse/loanDetail....   \n",
       "4          n  https://www.lendingclub.com/browse/loanDetail....   \n",
       "\n",
       "                                                desc         purpose  \\\n",
       "0    Borrower added on 12/22/11 > I need to upgra...     credit_card   \n",
       "1    Borrower added on 12/22/11 > I plan to use t...             car   \n",
       "2                                                NaN  small_business   \n",
       "3    Borrower added on 12/21/11 > to pay for prop...           other   \n",
       "4    Borrower added on 12/21/11 > I plan on combi...           other   \n",
       "\n",
       "                  title zip_code addr_state    dti  delinq_2yrs  \\\n",
       "0              Computer    860xx         AZ  27.65          0.0   \n",
       "1                  bike    309xx         GA   1.00          0.0   \n",
       "2  real estate business    606xx         IL   8.72          0.0   \n",
       "3              personel    917xx         CA  20.00          0.0   \n",
       "4              Personal    972xx         OR  17.94          0.0   \n",
       "\n",
       "  earliest_cr_line  inq_last_6mths  mths_since_last_delinq  \\\n",
       "0         Jan-1985             1.0                     NaN   \n",
       "1         Apr-1999             5.0                     NaN   \n",
       "2         Nov-2001             2.0                     NaN   \n",
       "3         Feb-1996             1.0                    35.0   \n",
       "4         Jan-1996             0.0                    38.0   \n",
       "\n",
       "   mths_since_last_record  open_acc  pub_rec  revol_bal  revol_util  \\\n",
       "0                     NaN       3.0      0.0    13648.0        83.7   \n",
       "1                     NaN       3.0      0.0     1687.0         9.4   \n",
       "2                     NaN       2.0      0.0     2956.0        98.5   \n",
       "3                     NaN      10.0      0.0     5598.0        21.0   \n",
       "4                     NaN      15.0      0.0    27783.0        53.9   \n",
       "\n",
       "   total_acc initial_list_status  out_prncp  out_prncp_inv   total_pymnt  \\\n",
       "0        9.0                   f        0.0            0.0   5861.071414   \n",
       "1        4.0                   f        0.0            0.0   1008.710000   \n",
       "2       10.0                   f        0.0            0.0   3003.653644   \n",
       "3       37.0                   f        0.0            0.0  12226.302212   \n",
       "4       38.0                   f      766.9          766.9   3242.170000   \n",
       "\n",
       "   total_pymnt_inv  total_rec_prncp  total_rec_int  total_rec_late_fee  \\\n",
       "0          5831.78          5000.00         861.07                0.00   \n",
       "1          1008.71           456.46         435.17                0.00   \n",
       "2          3003.65          2400.00         603.65                0.00   \n",
       "3         12226.30         10000.00        2209.33               16.97   \n",
       "4          3242.17          2233.10        1009.07                0.00   \n",
       "\n",
       "   recoveries  collection_recovery_fee last_pymnt_d  last_pymnt_amnt  \\\n",
       "0        0.00                     0.00     Jan-2015           171.62   \n",
       "1      117.08                     1.11     Apr-2013           119.66   \n",
       "2        0.00                     0.00     Jun-2014           649.91   \n",
       "3        0.00                     0.00     Jan-2015           357.48   \n",
       "4        0.00                     0.00     Jan-2016            67.79   \n",
       "\n",
       "  next_pymnt_d last_credit_pull_d  collections_12_mths_ex_med  \\\n",
       "0          NaN           Jan-2016                         0.0   \n",
       "1          NaN           Sep-2013                         0.0   \n",
       "2          NaN           Jan-2016                         0.0   \n",
       "3          NaN           Jan-2015                         0.0   \n",
       "4     Feb-2016           Jan-2016                         0.0   \n",
       "\n",
       "   mths_since_last_major_derog  policy_code application_type  \\\n",
       "0                          NaN          1.0       INDIVIDUAL   \n",
       "1                          NaN          1.0       INDIVIDUAL   \n",
       "2                          NaN          1.0       INDIVIDUAL   \n",
       "3                          NaN          1.0       INDIVIDUAL   \n",
       "4                          NaN          1.0       INDIVIDUAL   \n",
       "\n",
       "   annual_inc_joint  dti_joint verification_status_joint  acc_now_delinq  \\\n",
       "0               NaN        NaN                       NaN             0.0   \n",
       "1               NaN        NaN                       NaN             0.0   \n",
       "2               NaN        NaN                       NaN             0.0   \n",
       "3               NaN        NaN                       NaN             0.0   \n",
       "4               NaN        NaN                       NaN             0.0   \n",
       "\n",
       "   tot_coll_amt  tot_cur_bal  open_acc_6m  open_il_6m  open_il_12m  \\\n",
       "0           NaN          NaN          NaN         NaN          NaN   \n",
       "1           NaN          NaN          NaN         NaN          NaN   \n",
       "2           NaN          NaN          NaN         NaN          NaN   \n",
       "3           NaN          NaN          NaN         NaN          NaN   \n",
       "4           NaN          NaN          NaN         NaN          NaN   \n",
       "\n",
       "   open_il_24m  mths_since_rcnt_il  total_bal_il  il_util  open_rv_12m  \\\n",
       "0          NaN                 NaN           NaN      NaN          NaN   \n",
       "1          NaN                 NaN           NaN      NaN          NaN   \n",
       "2          NaN                 NaN           NaN      NaN          NaN   \n",
       "3          NaN                 NaN           NaN      NaN          NaN   \n",
       "4          NaN                 NaN           NaN      NaN          NaN   \n",
       "\n",
       "   open_rv_24m  max_bal_bc  all_util  total_rev_hi_lim  inq_fi  total_cu_tl  \\\n",
       "0          NaN         NaN       NaN               NaN     NaN          NaN   \n",
       "1          NaN         NaN       NaN               NaN     NaN          NaN   \n",
       "2          NaN         NaN       NaN               NaN     NaN          NaN   \n",
       "3          NaN         NaN       NaN               NaN     NaN          NaN   \n",
       "4          NaN         NaN       NaN               NaN     NaN          NaN   \n",
       "\n",
       "   inq_last_12m  \n",
       "0           NaN  \n",
       "1           NaN  \n",
       "2           NaN  \n",
       "3           NaN  \n",
       "4           NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/loan.csv', low_memory=False)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', 20)\n",
    "\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Data Analysis/Exploration </h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Loan Amount (Applied for) vs. Funded Amount </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Loan Amount Funded by the Lender')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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p8BUREREREZG4psBXRERERERE4poCXxEREREREYlrCnxFREREREQkrinwFRERERERkbiW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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1044e4610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize=(16,5))\n",
    "\n",
    "sns.distplot(df.loan_amnt, ax=ax[0], color='#69695b')\n",
    "ax[0].set_title('Loan Amount Applied by the Borrower')\n",
    "sns.distplot(df.funded_amnt, ax=ax[1])\n",
    "ax[1].set_title('Loan Amount Funded by the Lender')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<h4> Loan Amount (Applied for) Distribution  vs. Funded Amount Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Loan Amount Applied: 14755.2646051\n",
      "Mean Funded Amount: 14741.877625\n"
     ]
    },
    {
     "data": {
      "image/png": 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JvWRBLEmSJEnqJQtiSZIkSVIvWRBLkiRJknrJgliSJEmS1EsWxJIkSZKkXrIgliRJkiT1\n0qIWxEl2TvKFJP+R5Iokb2ztZyT5WpJL23RAa0+Sk5NMJLksyZMG1nV0kg1tOnqg/clJLm/LnJwk\ni7lPkiSNM3OzJElb7LDI678DeFZVfT/J/YHPJPl4m/c7VfWhKf0PBVa36SnAO4GnJHko8HpgDVDA\nJUnOraqbW59jgM8D64BDgI8jSZKmY26WJKlZ1IK4qgr4fnt6/zbVLIscDry3Lff5JLsm2QM4GLig\nqm4CSHIBcEiSC4EHV9XnWvt7gSMw6fbaSSedxIYNG0Ydxti79tprAVi5cuWIIxlvq1ev5vjjjx91\nGNKPmZs1CqeccgoTExOjDmOsmZcXzn777cdxxx036jC0RCz6PcRJliW5FLiBLnFe1Ga9pV169bYk\nO7W2lcA1A4tvbG2ztW+cpn26OI5Jsj7J+htvvPE+75e0vdu8eTObN28edRiSFoG5WRo/t912G7fd\ndtuow5C2O4t9yTRVdTdwQJJdgY8meSzwe8C3gB2B04DXAicC091jVFvRPl0cp7VtsWbNmtmOhGvM\neTZuYaxduxaAU089dcSRSFpo5mZta56Nu+8mv9+cdNJJI45E2r5ss1Gmq+oW4ELgkKq6rjp3AH8N\nHNi6bQT2GlhsFbBpjvZV07RLkqQ5mJslSX232KNMr2hHn0myHPgF4Kp27xFt1MkjgC+1Rc4Fjmoj\nWh4EfLeqrgPOB56TZLckuwHPAc5v825NclBb11HAOYu5T5IkjTNzsyRJWyz2JdN7AGcmWUZXfJ9d\nVecl+WSSFXSXVV0KvLr1XwccBkwAm4FXAFTVTUneBFzc+p04OYgH8FvAGcByugE7HLRDkqSZmZsl\nSWoWe5Tpy4AnTtP+rBn6F3DsDPNOB06fpn098Nj7FqkkSf1gbpYkaYttdg+xJEmSJElLiQWxJEmS\nJKmXLIglSZIkSb1kQSxJkiRJ6iULYkmSJElSL1kQS5IkSZJ6yYJYkiRJktRLFsSSJEmSpF6yIJYk\nSZIk9ZIFsSRJkiSplyyIJUmSJEm9ZEEsSZIkSeolC2JJkiRJUi9ZEEuSJEmSesmCWJIkSZLUSxbE\nkiRJkqResiCWJEmSJPWSBbEkSZIkqZcsiCVJkiRJvWRBLEmSJEnqJQtiSZIkSVIvWRBLkiRJknrJ\ngliSJEmS1EsWxJIkSZKkXrIgliRJkiT1kgWxJEmSJKmXFrUgTrJzki8k+Y8kVyR5Y2vfN8lFSTYk\n+WCSHVv7Tu35RJu/z8C6fq+1fyXJcwfaD2ltE0lOWMz9kSRp3JmbJUnaYrHPEN8BPKuqngAcAByS\n5CDgrcDbqmo1cDPwytb/lcDNVbUf8LbWjyT7A0cCjwEOAd6RZFmSZcDbgUOB/YGXtr6SJGl65mZJ\nkppFLYir8/329P5tKuBZwIda+5nAEe3x4e05bf6zk6S1n1VVd1TV14AJ4MA2TVTV1VV1J3BW6ytJ\nkqZhbpYkaYtFv4e4HS2+FLgBuAD4T+CWqrqrddkIrGyPVwLXALT53wV+YrB9yjIztUuSpBmYmyVJ\n6ix6QVxVd1fVAcAquqPGj56uW/ubGeYN234vSY5Jsj7J+htvvHHuwCVJ2k6ZmyVJ6myzUaar6hbg\nQuAgYNckO7RZq4BN7fFGYC+ANv8hwE2D7VOWmal9uu2fVlVrqmrNihUrFmKXJEkaa+ZmSVLfLfYo\n0yuS7NoeLwd+AbgS+BTw4tbtaOCc9vjc9pw2/5NVVa39yDbS5b7AauALwMXA6jYy5o50g3ucu5j7\nJEnSODM3S5K0xQ5zd7lP9gDObCNO3g84u6rOS/Jl4Kwkbwb+HXhP6/8e4H1JJuiOPh8JUFVXJDkb\n+DJwF3BsVd0NkGQtcD6wDDi9qq5Y5H2SJGmcmZslSWoWtSCuqsuAJ07TfjXdPUtT228HfmWGdb0F\neMs07euAdfc5WEmSesDcLEnSFtvsHmJJkiRJkpYSC2JJkiRJUi9ZEEuSJEmSesmCWJIkSZLUSxbE\nkiRJkqResiCWJEmSJPWSBbEkSZIkqZcsiCVJkiRJvWRBLEmSJEnqJQtiSZIkSVIvWRBLkiRJknrJ\ngliSJEmS1EsWxJIkSZKkXrIgliRJkiT1kgWxJEmSJKmXLIglSZIkSb1kQSxJkiRJ6iULYkmSJElS\nL1kQS5IkSZJ6yYJYkiRJktRLFsSSJEmSpF6yIJYkSZIk9ZIFsSRJkiSplyyIJUmSJEm9ZEEsSZIk\nSeolC2JJkiRJUi9ZEEuSJEmSemlRC+IkeyX5VJIrk1yR5PjW/oYk1ya5tE2HDSzze0kmknwlyXMH\n2g9pbRNJThho3zfJRUk2JPlgkh0Xc58kSRpn5mZJkrZY7DPEdwGvqapHAwcBxybZv817W1Ud0KZ1\nAG3ekcBjgEOAdyRZlmQZ8HbgUGB/4KUD63lrW9dq4GbglYu8T5IkjTNzsyRJzaIWxFV1XVV9sT2+\nFbgSWDnLIocDZ1XVHVX1NWACOLBNE1V1dVXdCZwFHJ4kwLOAD7XlzwSOWJy9kSRp/JmbJUnaYpvd\nQ5xkH+CJwEWtaW2Sy5KcnmS31rYSuGZgsY2tbab2nwBuqaq7prRPt/1jkqxPsv7GG29cgD2SJGm8\nmZslSX23TQriJA8EPgz8dlV9D3gn8JPAAcB1wJ9Pdp1m8dqK9ns3Vp1WVWuqas2KFSuG3ANJkrYv\n5mZJkmCHxd5AkvvTJdy/raqPAFTV9QPz3w2c155uBPYaWHwVsKk9nq7928CuSXZoR6IH+0uSpGmY\nmyVJ6iz2KNMB3gNcWVV/MdC+x0C3FwBfao/PBY5MslOSfYHVwBeAi4HVbdTKHekG9zi3qgr4FPDi\ntvzRwDmLuU+SJI0zc7MkSVss9hnipwG/Dlye5NLW9jq6kSgPoLuE6uvAbwJU1RVJzga+TDcK5rFV\ndTdAkrXA+cAy4PSquqKt77XAWUneDPw7XZKXJEnTMzdLktQsakFcVZ9h+nuJ1s2yzFuAt0zTvm66\n5arqarqRLiVJ0hzMzZIkbbHNRpmWJEmSJGkpsSCWJEmSJPWSBbEkSZIkqZcsiCVJkiRJvWRBLEmS\nJEnqJQtiSZIkSVIvWRBLkiRJknrJgliSJEmS1EsWxJIkSZKkXrIgliRJkiT1kgWxJEmSJKmXLIgl\nSZIkSb1kQSxJkiRJ6iULYkmSJElSL1kQS5IkSZJ6yYJYkqQxlGSn+bRJkqSZWRBLkjSePjfPNkmS\nNIMdRh2AJEmavySPAFYCy5M8EUib9WBgl5EFJknSGLIgliRpvDwXeDmwCviLgfZbgdeNIiBJksaV\nBbEkSWOkqs4Ezkzyoqr68KjjkSRpnFkQS5I0ns5L8mvAPgzk86o6cWQRSZI0ZiyIJUkaT+cA3wUu\nAe4YcSySJI2leRfESfatqq/N1SZJkraJVVV1yKiDkCRpnA3zs0vT3af0oYUKRJIkDeWzSR436iAk\nSRpnc54hTvIzwGOAhyR54cCsBwM7L1ZgkiRpVk8HXp7ka3SXTAeoqnr8aMOSJGl8zOeS6Z8GfhnY\nFXjeQPutwKsWIyhJkjSnQ0cdgCRJ427OgriqzgHOSfLUqvrcNohJkiTNoaq+kWQ3YC/umc+/MaKQ\nJEkaO8PcQzyR5HVJTkty+uQ02wJJ9kryqSRXJrkiyfGt/aFJLkiyof3drbUnyclJJpJcluRJA+s6\nuvXfkOTogfYnJ7m8LXNykgz5GkiSNHaSvAm4DDgZ+PM2/dk8ljM3S5LUDFMQnwM8BPhn4GMD02zu\nAl5TVY8GDgKOTbI/cALwiapaDXyiPYfu8q/VbToGeCd0SRp4PfAU4EDg9ZOJuvU5ZmA5R9yUJPXB\nS4CfrKqDq+qZbXrWPJYzN0uS1AzzO8S7VNVrh1l5VV0HXNce35rkSmAlcDhwcOt2JnAh8NrW/t6q\nKuDzSXZNskfre0FV3QSQ5ALgkCQXAg+evJQ7yXuBI4CPDxPnUnLSSSexYcOGUYch/fh9uHbt2hFH\nor5bvXo1xx9//KjDWIq+RDe+xw3DLGRuHt4pp5zCxMTEqMNQz02+B/081FKw3377cdxxx406jAUx\nTEF8XpLDqmrd1mwoyT7AE4GLgN1bQqaqrkvy8NZtJXDNwGIbW9ts7RunaZ9u+8fQHa1m77333ppd\n2CY2bNjAZZddxs477zjqUNRzd975QwC++tWrRhyJ+uz22+8cdQhL2Z8A/57kS3SjTANQVc+f7wrM\nzfMzMTHBpV+6krt3eeioQ1GP3e/OAuCSq68fcSTqu2Wbbxp1CAtqmIL4eOB1Se4AfsiWn3d48FwL\nJnkg3e8Y/3ZVfW+WW4mmm1Fb0X7vxqrTgNMA1qxZM22fpWLnnXfkUY/ac9RhSNLIXX31plGHsJSd\nCbwVuBz40bALm5uHc/cuD+W2nzls1GFI0sgtv2qrzo8uWfMuiKvqQVuzgST3p0u4f1tVH2nN1yfZ\nox2B3oMtl3ttpBstc9IqYFNrP3hK+4WtfdU0/SVJ2t59u6pO3poFzc2SJHWGGVSLJI9P8vwkL5yc\n5ugf4D3AlVX1FwOzzgUmR6M8mm7Arsn2o9qIlgcB322Xb50PPCfJbm3AjucA57d5tyY5qG3rqIF1\nSZK0PbskyZ8keWqSJ01Ocy1kbpYkaYt5nyFO9xNLjweuYMulWQV8ZMaF4GnArwOXJ7m0tb0O+FPg\n7CSvBL4J/Eqbtw44DJgANgOvAKiqm9rPS1zc+p04OYgH8FvAGcByugE7xnbQDkmShvDE9veggbYC\n5hpp2twsSVIzzD3EB1XV/sOsvKo+w/T3EgE8e5r+BRw7w7pOB+71u8dVtR547DBxSZI07qrqmVu5\nnLlZkqRmmIL4c0n2r6ovL1o0kiRp3pL8EvAYYOfJtqo6cXQRSZI0XoYpiM+kK4q/RffzDpOjTD9+\nUSKTJEkzSvIuYBfgmcBfAS8GvjDSoCRJGjPDFMSn0+45Yit+3kGSJC2on6uqxye5rKremOTPmX1c\nD0mSNMUwBfE3q+rcRYtEkiQN47b2d3OSPYHvAPuOMB5JksbOMAXxVUneD/wD3SXTAAz8fqEkSdp2\nzkuyK/B/gS/SjTD97tGGJEnSeBmmIF5OVwg/Z6Btrp9dkiRJi6Cq3tQefjjJecDOVfXdyflJfrGq\nLhhNdJIkjYd5F8RV9YrFDESSJG2dqrqDgau3mrcCFsSSJM1i3gVxkp2BV3Lvn3f4jUWIS5Ik3Tcz\n/dawJElq7jdE3/cBjwCeC3waWAXcuhhBSZKk+6xGHYAkSUvdMAXxflX1h8APqupM4JeAxy1OWJIk\nSZIkLa5hCuIftr+3JHks8BBgnwWPSJIkLYSvjzoASZKWumFGmT4tyW7AHwDnAg8E/nBRopIkSdNK\n8sLZ5k/+HGJVzdpPkiQNN8r0X7WH/wI8aur8JEe3S6klSdLieV77+3Dg54BPtufPBC7En0OUJGne\nhrlkei7HL+C6JEnSNKrqFe2nEAvYv6peVFUvovsVCEmSNISFLIj9eQdJkradfarquoHn1wM/Napg\nJEkaR8PcQzwXf95BkqRt58Ik5wMfoMvBRwKfGm1IkiSNl4UsiD1DLEnSNlJVa5O8APgvrem0qvro\nKGOSJGncLGRB/G8LuC5JkjS3LwK3VtU/J9klyYOq6tZRByVJ0riYd0GcZCfgRXS/Pfzj5arqxPZ3\n7UIHJ0mSppfkVcAxwEOBnwRWAu8Cnj3KuCRJGifDnCE+B/gucAlwx+KEI0mS5ulY4EDgIoCq2pDk\n4aMNSZKk8TJMQbyqqg5ZtEgkSdIw7qiqO5NuCI8kO+AAl5IkDWWYn136bJLHLVokkiRpGJ9O8jpg\neZJfBP4O+IcRxyRJ0lgZpiB+OnBJkq8kuSzJ5UkuW6zAJEnSrE4AbgQuB34TWAf8wUgjkiRpzAxz\nyfShixaFJEkaSlX9CHh3myRJ0laYd0FcVd8AaAN27LxoEUmSpBkluZxZ7hWuqsdvw3AkSRprw/zs\n0vOBPwf2BG4AHglcCTxmcUKTJEnT+OX299j2933t78uAzds+HEmSxtcw9xC/CTgI+GpV7Uv3O4f/\ntihRSZKkaVXVN9pVW0+rqt+tqsvbdALw3FHHJ0nSOBmmIP5hVX0HuF+S+1XVp4ADZlsgyelJbkjy\npYG2NyS5NsmlbTpsYN7vJZloA3c9d6D9kNY2keSEgfZ9k1yUZEOSDybZcYj9kSRpnD0gydMnnyT5\nOeABcy1kbpYkaYthCuJbkjygieChAAAMl0lEQVQQ+Ffgb5OcBNw1xzJnANP9dvHbquqANq0DSLI/\ncCTdJdiHAO9IsizJMuDtdIN67Q+8tPUFeGtb12rgZuCVQ+yPJEnj7JXA25N8PcnXgXcAvzGP5c7A\n3CxJEjBcQXw4cBvw28A/Av8JPG+2BarqX4Cbhlj/WVV1R1V9DZgADmzTRFVdXVV3AmcBhycJ8Czg\nQ235M4EjhtgfSZLGVlVdUlVPAB4PPKEVsl+cx3LmZkmSmmFGmf5Bkt2BnwW+A3y8XUK9NdYmOQpY\nD7ymqm4GVgKfH+izsbUBXDOl/SnATwC3VNVd0/S/lyTHAMcA7L333lsZtiRJS0OSnYAXAfsAO3S1\nKFTViVu5SnOzJKl35n2GOMlLgC8AvwK8BLgoyYu3YpvvBH6S7v7j6+hGrgbINH1rK9qnVVWnVdWa\nqlqzYsWK4SKWJGnpOYfuDO5dwA8Gpq1hbpYk9dK8zxADvw/8bFXdAJBkBfDPbLksal6q6vrJx0ne\nDZzXnm4E9hrougrY1B5P1/5tYNckO7Qj0YP9JUna3q2qqunuBR6auVmS1FfD3EN8v8liuPnOkMsD\nkGSPgacvACZHuTwXODLJTkn2BVbTnZG+GFjdRq3ckW5wj3OrqoBPAZNnqY+mO1ouSVIffDbJ4xZi\nReZmSVJfDXOG+B+TnA98oD3/VWDdbAsk+QBwMPCwJBuB1wMHJzmA7hKqrwO/CVBVVyQ5G/gy3eVf\nx1bV3W09a4HzgWXA6VV1RdvEa4GzkrwZ+HfgPUPsjyRJ4+zpwMuTfA24g+5y5aqqx8+2kLlZkqQt\nhhlU63eSvAh4Gl3SPa2qPjrHMi+dpnnGxFhVbwHeMk37OqYpvqvqarqRLiVJ6ptDt2Yhc7MkSVsM\nc4aYqvow8OFFikWSJM3fjINVSZKk+ZmzIE5yK9Mn3clLsx684FFJkqS5fIwtIzvvDOwLfAV4zCiD\nkiRpnMxZEFfVg7ZFIJIkaf6q6h4DaiV5Eu3eX0mSND9DjxItSZKWnqr6IvCzo45DkqRxMtQ9xJIk\naWlI8r8Gnt4PeDJw44jCkSRpLHmGWJKkMZLkfe3hHwEPatNOwHnA4aOKS5KkceQZYkmSxsuTkzwS\n+CZwypR5uwC3b/uQJEkaTxbES8zGjRu5/fY7uPrqTaMORZJG7vbb72Djxo2jDmOpeRfwj3SjSq8f\naA/dqNOPGkVQ27Nrr72WZZu/y/Kr7vWzy5LUO8s2f4drr71r1GEsGC+ZliRpjFTVyVX1aOCvq+pR\nA9O+VWUxLEnSEDxDvMSsWrWKzZu/z6MeteeoQ5Gkkbv66k2sWrVq1GEsSVX1W6OOoS9WrlzJt+7Y\ngdt+5rBRhyJJI7f8qnWsXLn7qMNYMJ4hliRJkiT1kgWxJEmSJKmXLIglSZIkSb1kQSxJkiRJ6iUL\nYkmSJElSL1kQS5IkSZJ6yYJYkiRJktRLFsSSJEmSpF6yIJYkSZIk9ZIFsSRJkiSplyyIJUmSJEm9\nZEEsSZIkSeolC2JJkiRJUi9ZEEuSJEmSesmCWJIkSZLUSxbEkiRJkqResiCWJEmSJPXSohbESU5P\nckOSLw20PTTJBUk2tL+7tfYkOTnJRJLLkjxpYJmjW/8NSY4eaH9yksvbMicnyWLujyRJ487cLEnS\nFot9hvgM4JApbScAn6iq1cAn2nOAQ4HVbToGeCd0SRp4PfAU4EDg9ZOJuvU5ZmC5qduSJEn3dAbm\nZkmSgEUuiKvqX4CbpjQfDpzZHp8JHDHQ/t7qfB7YNckewHOBC6rqpqq6GbgAOKTNe3BVfa6qCnjv\nwLokSdI0zM2SJG0xinuId6+q6wDa34e39pXANQP9Nra22do3TtM+rSTHJFmfZP2NN954n3dCkqTt\niLlZktRLS2lQrenuMaqtaJ9WVZ1WVWuqas2KFSu2MkRJknrF3CxJ2q6NoiC+vl1SRft7Q2vfCOw1\n0G8VsGmO9lXTtEuSpOGYmyVJvTSKgvhcYHI0yqOBcwbaj2ojWh4EfLddtnU+8Jwku7UBO54DnN/m\n3ZrkoDaC5VED65IkSfNnbpYk9dIOi7nyJB8ADgYelmQj3YiUfwqcneSVwDeBX2nd1wGHARPAZuAV\nAFV1U5I3ARe3fidW1eRgIL9FN1rmcuDjbZIkSTMwN0uStMWiFsRV9dIZZj17mr4FHDvDek4HTp+m\nfT3w2PsSoyRJfWJuliRpi6U0qJYkSZIkSduMBbEkSZIkqZcsiCVJkiRJvWRBLEmSJEnqJQtiSZIk\nSVIvWRBLkiRJknrJgliSJEmS1EuL+jvE2jq3334nV1+9adRhqOfuvPOHAOy44/1HHIn67Pbb7xx1\nCBIAyzbfxPKr1o06DPXY/W7/HgA/2vnBI45Efbds803A7qMOY8FYEC8xq1evHnUIEgAbNmwAfE9q\n9HwPatT222+/UYcgMTFxKwD7PWr7KUQ0rnbfrj4XLYiXmOOPP37UIUgArF27FoBTTz11xJFI0mgd\nd9xxow5B+vF3xJNOOmnEkUjbF+8hliRJkiT1kgWxJEmSJKmXLIglSZIkSb1kQSxJkiRJ6iULYkmS\nJElSL1kQS5IkSZJ6yYJYkiRJktRLFsSSJEmSpF6yIJYkSZIk9ZIFsSRJkiSplyyIJUmSJEm9ZEEs\nSZIkSeolC2JJkiRJUi9ZEEuSJEmSesmCWJIkSZLUSxbEkiRJkqReGllBnOTrSS5PcmmS9a3toUku\nSLKh/d2ttSfJyUkmklyW5EkD6zm69d+Q5OhR7Y8kSePO3CxJ6ptRnyF+ZlUdUFVr2vMTgE9U1Wrg\nE+05wKHA6jYdA7wTuiQNvB54CnAg8PrJRC1JkraKuVmS1BujLoinOhw4sz0+EzhioP291fk8sGuS\nPYDnAhdU1U1VdTNwAXDItg5akqTtmLlZkrTdGmVBXMA/JbkkyTGtbfequg6g/X14a18JXDOw7MbW\nNlO7JEkanrlZktQrO4xw20+rqk1JHg5ckOSqWfpmmraapf3eK+gS+zEAe++997CxSpLUB+ZmSVKv\njOwMcVVtan9vAD5Kd5/R9e1yK9rfG1r3jcBeA4uvAjbN0j7d9k6rqjVVtWbFihULuSuSJG0XzM2S\npL4ZSUGc5AFJHjT5GHgO8CXgXGByNMqjgXPa43OBo9qIlgcB322XbZ0PPCfJbm3Ajue0NkmSNARz\nsySpj0Z1yfTuwEeTTMbw/qr6xyQXA2cneSXwTeBXWv91wGHABLAZeAVAVd2U5E3Axa3fiVV107bb\nDUmSthvmZklS74ykIK6qq4EnTNP+HeDZ07QXcOwM6zodOH2hY5QkqU/MzZKkPlpqP7skSZIkSdI2\nYUEsSZIkSeolC2JJkiRJUi9ZEEuSJEmSesmCWJIkSZLUSxbEkiRJkqResiCWJEmSJPWSBbEkSZIk\nqZcsiCVJkiRJvWRBLEmSJEnqJQtiSZIkSVIvWRBLkiRJknrJgliSJEmS1EsWxJIkSZKkXrIgliRJ\nkiT1kgWxJEmSJKmXLIglSZIkSb1kQSxJkiRJ6iULYkmSJElSL1kQS5IkSZJ6yYJYkiRJktRLFsSS\nJEmSpF6yIJYkSZIk9ZIFsSRJkiSplyyIJUmSJEm9ZEEsSZIkSeqlHUYdgLTQTjrpJDZs2DDqMMbe\n5Gu4du3aEUcy3lavXs3xxx8/6jAkaaROOeUUJiYmRh3GWJt8/cwp991+++3HcccdN+owtERsF2eI\nkxyS5CtJJpKcMOp4pO3BLrvswi677DLqMCSNKXOztLCWL1/O8uXLRx2GtN0Z+zPESZYBbwd+EdgI\nXJzk3Kr68mgj06h45FSSRsvcrKk8GydpqdoezhAfCExU1dVVdSdwFnD4iGOSJKnPzM2SpLGwPRTE\nK4FrBp5vbG2SJGk0zM2SpLGwPRTEmaat7tUpOSbJ+iTrb7zxxm0QliRJvWVuliSNhe2hIN4I7DXw\nfBWwaWqnqjqtqtZU1ZoVK1Zss+AkSeohc7MkaSxsDwXxxcDqJPsm2RE4Ejh3xDFJktRn5mZJ0lgY\n+1Gmq+quJGuB84FlwOlVdcWIw5IkqbfMzZKkcTH2BTFAVa0D1o06DkmS1DE3S5LGwfZwybQkSZIk\nSUOzIJYkSZIk9ZIFsSRJkiSpl1J1r58F3O4luRH4xqjjkMbAw4BvjzoIaYl7ZFX5m0H3kblZmhfz\nsjQ/887NvSyIJc1PkvVVtWbUcUiSJPOytBi8ZFqSJEmS1EsWxJIkSZKkXrIgljSb00YdgCRJ+jHz\nsrTAvIdYkiRJktRLniGWJEmSJPWSBbEkSZIkqZcsiCVJkiRJvWRBLEmSJEnqJQtiSZIkSVIv/X+r\nzQaONxg+fAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104362d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize=(16,5))\n",
    "sns.boxplot(y=df.loan_amnt, ax=ax[0], color='#69695b')\n",
    "ax[0].set_title('Applied Loan Amount Distribution')\n",
    "sns.boxplot(y=df.funded_amnt, ax=ax[1],)\n",
    "ax[1].set_title('Funded Loan Amount Distribution')\n",
    "print'Mean Loan Amount Applied:', df.loan_amnt.mean()\n",
    "print'Mean Funded Amount:', df.funded_amnt.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Loan Grade Distribution </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Loan Grade Count')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x109de6990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grade_counts = df.grade.value_counts()\n",
    "ax = sns.barplot(grade_counts.index, grade_counts.values)\n",
    "ax.set_title('Loan Grade Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<h4> Loan Status Distribution </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Loan Status Count')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E/wRuA74PnC1pe2B9cprIZ1qZP2V3pwHkBeNCkrYgg9R/JB0XEbdJGksLLhqn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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1044e4810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "status_counts = df.loan_status.value_counts()\n",
    "ax = sns.barplot(status_counts.index, status_counts.values)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45)\n",
    "ax.set_title('Loan Status Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Number of loans issued over 2007-2015 </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Number of loans issued year-wise')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fb959d0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "years = pd.to_datetime(df.issue_d)\n",
    "df['year'] = years.dt.year\n",
    "yearwise_loans = df.year.value_counts()\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "ax = sns.barplot(yearwise_loans.index, yearwise_loans.values)\n",
    "ax.set_title('Number of loans issued year-wise')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Mean loan amount issued over the years 2007-2015 </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x109f79b90>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WUz8LeF/z+tXAZ4AAxwHXTbLNg4DNwL5t9zfqvoGfAb5E7yKXWcA1wCvb7m8K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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a40a390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(df.year,df.loan_amnt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Good loan vs. Bad loan </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1858bfd0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a184450d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['rating'] = np.where((df.loan_status != 'Current') & \n",
    "                        (df.loan_status != 'Fully Paid') & \n",
    "                        (df.loan_status != 'Does not meet the credit policy. Status:Fully Paid') &\n",
    "                        (df.loan_status != 'Issued'),\n",
    "                        'Bad Loan', 'Good Loan')\n",
    "\n",
    "plt.figure(figsize=(8,8))\n",
    "#df.rating.value_counts().plot.pie(explode = [0, 0.2], autopct='%1.2f%%', shadow = True, startangle = 7)\n",
    "pd.value_counts(df.rating).plot.pie(explode = [0, 0.2], autopct='%1.2f%%', shadow = True, startangle = 75)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<h4> Year-wise correlation of loan amount and loan type </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10acbba10>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5V0SM7mTVV4FZwE0d2k4Hrs/KecElETE0Ig4ETgQWZeY6gIhYBJwcEXcAe2fm4qL9euAM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\nAQ+MH6ne9xEWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10acbba90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x=df.year, y=df.loan_amnt, hue=df.rating)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Mean loan amount issued in the period from 2007 to 2015, grouped by load grade </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "year  grade\n",
      "2007  A         5015.384615\n",
      "      B         8337.755102\n",
      "      C         8275.709220\n",
      "      D         8005.555556\n",
      "      E         8138.250000\n",
      "      F        11850.961538\n",
      "      G        10847.857143\n",
      "2008  A         6234.512579\n",
      "      B         9174.705387\n",
      "      C         8840.086207\n",
      "                   ...     \n",
      "2014  E        17171.415437\n",
      "      F        16760.143821\n",
      "      G        19750.964392\n",
      "2015  A        14691.720870\n",
      "      B        14251.806455\n",
      "      C        14745.592285\n",
      "      D        15947.183739\n",
      "      E        18472.726622\n",
      "      F        20090.274524\n",
      "      G        20427.838025\n",
      "Name: loan_amnt, Length: 63, dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Mean Loan Amount Issued, by Year and Loan Grade')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a18900fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a18831250>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grouping the data by year and grade and mean loan amount\n",
    "loan_amnt_by_year_grade = df.groupby(['year', 'grade']).loan_amnt.mean()\n",
    "print(loan_amnt_by_year_grade)\n",
    "\n",
    "cmap = plt.cm.coolwarm\n",
    "plt.figure(figsize=(10,6))\n",
    "ax = loan_amnt_by_year_grade.unstack().plot(colormap=cmap)\n",
    "ax.set_title('Mean Loan Amount Issued, by Year and Loan Grade')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Mean interest rates in the period from 2007 to 2015, grouped by loan grade </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Mean Interest Rates, by Year and Loan Grade')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bbeffd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cudkHlKeKx2h5dgGhd17BNWIUuVffgnvEqP0f6ODQiZ54/AngRqXUhyISBJaK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\nxWKpMazwWywWS41hhd9isVhqjP8PuIn9xfvv4vUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10acc58d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grouping the data by year and grade and mean interest rate\n",
    "int_rate_by_year_grade = df.groupby(['year','grade']).int_rate.mean()\n",
    "\n",
    "cmap = plt.cm.coolwarm\n",
    "plt.figure(figsize=(10,6))\n",
    "ax = int_rate_by_year_grade.unstack().plot(colormap=cmap)\n",
    "ax.set_title('Mean Interest Rates, by Year and Loan Grade')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Interest rate distribution by loan grade </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,u'Interest rate distribution by loan grade')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aNGrUKL0akg5VOjWkX+fvpFZc7tLIESPlTIPZKenC6/VqxowZmjFjhoLBoLZv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\nFkiSJEmSJEkqywJJkiRJkiRJZf0/P47jDDCtRAgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1090ddd50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "ax = sns.violinplot(x='grade', y='int_rate', data=df, \n",
    "                    palette=sns.color_palette('Set2'), \n",
    "                    order=['A','B','C','D','E','F','G'])\n",
    "ax.set_title('Interest rate distribution by loan grade')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<h4> State-wise bad loan rates </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a13588690>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAOhKEAUAAKArQRQAAICuBFEAAAC62tFTc6vqw0m+kOQbSb7eWjthE0UBAACwd23iz7fc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\nAF0JogAAAHT1/wEavlvbYmSfkAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a13588590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "statewise_badloan_dict = {}\n",
    "for state in df['addr_state'].unique():\n",
    "    values = df[state==df['addr_state']].rating.value_counts()\n",
    "    \n",
    "    statewise_badloan_dict[state] = round(float(values[1])/float(values[0])*100,2)\n",
    "\n",
    "import operator\n",
    "sorted_d = sorted(statewise_badloan_dict.items(), key=operator.itemgetter(1), reverse=True) \n",
    "x, y = zip(*sorted_d)\n",
    "plt.figure(figsize=(16,8))\n",
    "sns.barplot(x,y,color='grey')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Bad loan rates grouped by loan purpose </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0,u'educational'),\n",
       " Text(0,0,u'small_business'),\n",
       " Text(0,0,u'renewable_energy'),\n",
       " Text(0,0,u'wedding'),\n",
       " Text(0,0,u'house'),\n",
       " Text(0,0,u'moving'),\n",
       " Text(0,0,u'other'),\n",
       " Text(0,0,u'medical'),\n",
       " Text(0,0,u'vacation'),\n",
       " Text(0,0,u'debt_consolidation'),\n",
       " Text(0,0,u'major_purchase'),\n",
       " Text(0,0,u'home_improvement'),\n",
       " Text(0,0,u'car'),\n",
       " Text(0,0,u'credit_card')]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AZiWIAgAAMCtBFAAAgFkJogAAAMxKEAUAAGBWgigAAACzEkQBAACY1c7b85er6utJTkhy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\nSimllFLqVv8HWSos8TSjkB0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a139fff10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "purpose_badloan_dict = {}\n",
    "for purpose in df['purpose'].unique():\n",
    "    values = df[purpose==df['purpose']].rating.value_counts()\n",
    "    purpose_badloan_dict[purpose] = round(float(values[1])/float(values[0])*100,2)\n",
    "\n",
    "import operator\n",
    "sorted_d = sorted(purpose_badloan_dict.items(), key=operator.itemgetter(1), reverse=True)\n",
    "x, y = zip(*sorted_d)\n",
    "plt.figure(figsize=(16,8))\n",
    "ax = sns.barplot(x,y, color='brown')\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Exploration completed </h3>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}