credit_risk_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        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>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22</td>\n",
       "      <td>59000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>123.0</td>\n",
       "      <td>PERSONAL</td>\n",
       "      <td>D</td>\n",
       "      <td>35000</td>\n",
       "      <td>16.02</td>\n",
       "      <td>1</td>\n",
       "      <td>0.59</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21</td>\n",
       "      <td>9600</td>\n",
       "      <td>OWN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>B</td>\n",
       "      <td>1000</td>\n",
       "      <td>11.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.10</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25</td>\n",
       "      <td>9600</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>5500</td>\n",
       "      <td>12.87</td>\n",
       "      <td>1</td>\n",
       "      <td>0.57</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>65500</td>\n",
       "      <td>RENT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>15.23</td>\n",
       "      <td>1</td>\n",
       "      <td>0.53</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24</td>\n",
       "      <td>54400</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>14.27</td>\n",
       "      <td>1</td>\n",
       "      <td>0.55</td>\n",
       "      <td>Y</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21</td>\n",
       "      <td>9900</td>\n",
       "      <td>OWN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>A</td>\n",
       "      <td>2500</td>\n",
       "      <td>7.14</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>26</td>\n",
       "      <td>77100</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>B</td>\n",
       "      <td>35000</td>\n",
       "      <td>12.42</td>\n",
       "      <td>1</td>\n",
       "      <td>0.45</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>24</td>\n",
       "      <td>78956</td>\n",
       "      <td>RENT</td>\n",
       "      <td>5.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>B</td>\n",
       "      <td>35000</td>\n",
       "      <td>11.11</td>\n",
       "      <td>1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>24</td>\n",
       "      <td>83000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PERSONAL</td>\n",
       "      <td>A</td>\n",
       "      <td>35000</td>\n",
       "      <td>8.90</td>\n",
       "      <td>1</td>\n",
       "      <td>0.42</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21</td>\n",
       "      <td>10000</td>\n",
       "      <td>OWN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>D</td>\n",
       "      <td>1600</td>\n",
       "      <td>14.74</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22</td>\n",
       "      <td>85000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>6.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>B</td>\n",
       "      <td>35000</td>\n",
       "      <td>10.37</td>\n",
       "      <td>1</td>\n",
       "      <td>0.41</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>21</td>\n",
       "      <td>10000</td>\n",
       "      <td>OWN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>HOMEIMPROVEMENT</td>\n",
       "      <td>A</td>\n",
       "      <td>4500</td>\n",
       "      <td>8.63</td>\n",
       "      <td>1</td>\n",
       "      <td>0.45</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>95000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>A</td>\n",
       "      <td>35000</td>\n",
       "      <td>7.90</td>\n",
       "      <td>1</td>\n",
       "      <td>0.37</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>26</td>\n",
       "      <td>108160</td>\n",
       "      <td>RENT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>E</td>\n",
       "      <td>35000</td>\n",
       "      <td>18.39</td>\n",
       "      <td>1</td>\n",
       "      <td>0.32</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>115000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>A</td>\n",
       "      <td>35000</td>\n",
       "      <td>7.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0.30</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>500000</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>DEBTCONSOLIDATION</td>\n",
       "      <td>B</td>\n",
       "      <td>30000</td>\n",
       "      <td>10.65</td>\n",
       "      <td>0</td>\n",
       "      <td>0.06</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>120000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>A</td>\n",
       "      <td>35000</td>\n",
       "      <td>7.90</td>\n",
       "      <td>0</td>\n",
       "      <td>0.29</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>92111</td>\n",
       "      <td>RENT</td>\n",
       "      <td>7.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>F</td>\n",
       "      <td>35000</td>\n",
       "      <td>20.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.32</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23</td>\n",
       "      <td>113000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>DEBTCONSOLIDATION</td>\n",
       "      <td>D</td>\n",
       "      <td>35000</td>\n",
       "      <td>18.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0.31</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>24</td>\n",
       "      <td>10800</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>8.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>B</td>\n",
       "      <td>1750</td>\n",
       "      <td>10.99</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    person_age  person_income person_home_ownership  person_emp_length  \\\n",
       "0           22          59000                  RENT              123.0   \n",
       "1           21           9600                   OWN                5.0   \n",
       "2           25           9600              MORTGAGE                1.0   \n",
       "3           23          65500                  RENT                4.0   \n",
       "4           24          54400                  RENT                8.0   \n",
       "5           21           9900                   OWN                2.0   \n",
       "6           26          77100                  RENT                8.0   \n",
       "7           24          78956                  RENT                5.0   \n",
       "8           24          83000                  RENT                8.0   \n",
       "9           21          10000                   OWN                6.0   \n",
       "10          22          85000                  RENT                6.0   \n",
       "11          21          10000                   OWN                2.0   \n",
       "12          23          95000                  RENT                2.0   \n",
       "13          26         108160                  RENT                4.0   \n",
       "14          23         115000                  RENT                2.0   \n",
       "15          23         500000              MORTGAGE                7.0   \n",
       "16          23         120000                  RENT                0.0   \n",
       "17          23          92111                  RENT                7.0   \n",
       "18          23         113000                  RENT                8.0   \n",
       "19          24          10800              MORTGAGE                8.0   \n",
       "\n",
       "          loan_intent loan_grade  loan_amnt  loan_int_rate  loan_status  \\\n",
       "0            PERSONAL          D      35000          16.02            1   \n",
       "1           EDUCATION          B       1000          11.14            0   \n",
       "2             MEDICAL          C       5500          12.87            1   \n",
       "3             MEDICAL          C      35000          15.23            1   \n",
       "4             MEDICAL          C      35000          14.27            1   \n",
       "5             VENTURE          A       2500           7.14            1   \n",
       "6           EDUCATION          B      35000          12.42            1   \n",
       "7             MEDICAL          B      35000          11.11            1   \n",
       "8            PERSONAL          A      35000           8.90            1   \n",
       "9             VENTURE          D       1600          14.74            1   \n",
       "10            VENTURE          B      35000          10.37            1   \n",
       "11    HOMEIMPROVEMENT          A       4500           8.63            1   \n",
       "12            VENTURE          A      35000           7.90            1   \n",
       "13          EDUCATION          E      35000          18.39            1   \n",
       "14          EDUCATION          A      35000           7.90            0   \n",
       "15  DEBTCONSOLIDATION          B      30000          10.65            0   \n",
       "16          EDUCATION          A      35000           7.90            0   \n",
       "17            MEDICAL          F      35000          20.25            1   \n",
       "18  DEBTCONSOLIDATION          D      35000          18.25            1   \n",
       "19          EDUCATION          B       1750          10.99            1   \n",
       "\n",
       "    loan_percent_income cb_person_default_on_file  cb_person_cred_hist_length  \n",
       "0                  0.59                         Y                           3  \n",
       "1                  0.10                         N                           2  \n",
       "2                  0.57                         N                           3  \n",
       "3                  0.53                         N                           2  \n",
       "4                  0.55                         Y                           4  \n",
       "5                  0.25                         N                           2  \n",
       "6                  0.45                         N                           3  \n",
       "7                  0.44                         N                           4  \n",
       "8                  0.42                         N                           2  \n",
       "9                  0.16                         N                           3  \n",
       "10                 0.41                         N                           4  \n",
       "11                 0.45                         N                           2  \n",
       "12                 0.37                         N                           2  \n",
       "13                 0.32                         N                           4  \n",
       "14                 0.30                         N                           4  \n",
       "15                 0.06                         N                           3  \n",
       "16                 0.29                         N                           4  \n",
       "17                 0.32                         N                           4  \n",
       "18                 0.31                         N                           4  \n",
       "19                 0.16                         N                           2  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df = pd.read_csv('credit_risk_dataset.csv')\n",
    "credit_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "loan_int_rate                 3116\n",
       "person_emp_length              895\n",
       "cb_person_cred_hist_length       0\n",
       "cb_person_default_on_file        0\n",
       "loan_percent_income              0\n",
       "loan_status                      0\n",
       "loan_amnt                        0\n",
       "loan_grade                       0\n",
       "loan_intent                      0\n",
       "person_home_ownership            0\n",
       "person_income                    0\n",
       "person_age                       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nulls = credit_df.isnull().sum().sort_values(ascending=False)\n",
    "nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32581, 12)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "for value in credit_df['loan_status']:\n",
    "    credit_df['loan_status'].replace(0,\"No Default\",inplace=True)\n",
    "    credit_df['loan_status'].replace(1, \"Default\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "bins = [0,25,40,55,70]\n",
    "labels = ['Under 25','25-40','40-55','55-70']\n",
    "credit_df['Age Group'] = pd.cut(credit_df['person_age'],bins=bins,labels=labels,right=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_status</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22</td>\n",
       "      <td>59000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>123.0</td>\n",
       "      <td>PERSONAL</td>\n",
       "      <td>D</td>\n",
       "      <td>35000</td>\n",
       "      <td>16.02</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.59</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21</td>\n",
       "      <td>9600</td>\n",
       "      <td>OWN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>B</td>\n",
       "      <td>1000</td>\n",
       "      <td>11.14</td>\n",
       "      <td>No Default</td>\n",
       "      <td>0.10</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25</td>\n",
       "      <td>9600</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>5500</td>\n",
       "      <td>12.87</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.57</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "      <td>25-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>65500</td>\n",
       "      <td>RENT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>15.23</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.53</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24</td>\n",
       "      <td>54400</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>14.27</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.55</td>\n",
       "      <td>Y</td>\n",
       "      <td>4</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   person_age  person_income person_home_ownership  person_emp_length  \\\n",
       "0          22          59000                  RENT              123.0   \n",
       "1          21           9600                   OWN                5.0   \n",
       "2          25           9600              MORTGAGE                1.0   \n",
       "3          23          65500                  RENT                4.0   \n",
       "4          24          54400                  RENT                8.0   \n",
       "\n",
       "  loan_intent loan_grade  loan_amnt  loan_int_rate loan_status  \\\n",
       "0    PERSONAL          D      35000          16.02     Default   \n",
       "1   EDUCATION          B       1000          11.14  No Default   \n",
       "2     MEDICAL          C       5500          12.87     Default   \n",
       "3     MEDICAL          C      35000          15.23     Default   \n",
       "4     MEDICAL          C      35000          14.27     Default   \n",
       "\n",
       "   loan_percent_income cb_person_default_on_file  cb_person_cred_hist_length  \\\n",
       "0                 0.59                         Y                           3   \n",
       "1                 0.10                         N                           2   \n",
       "2                 0.57                         N                           3   \n",
       "3                 0.53                         N                           2   \n",
       "4                 0.55                         Y                           4   \n",
       "\n",
       "  Age Group  \n",
       "0  Under 25  \n",
       "1  Under 25  \n",
       "2     25-40  \n",
       "3  Under 25  \n",
       "4  Under 25  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
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       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22</td>\n",
       "      <td>59000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>123.0</td>\n",
       "      <td>PERSONAL</td>\n",
       "      <td>D</td>\n",
       "      <td>35000</td>\n",
       "      <td>16.02</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.59</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21</td>\n",
       "      <td>9600</td>\n",
       "      <td>OWN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>B</td>\n",
       "      <td>1000</td>\n",
       "      <td>11.14</td>\n",
       "      <td>No Default</td>\n",
       "      <td>0.10</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>65500</td>\n",
       "      <td>RENT</td>\n",
       "      <td>4.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>15.23</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.53</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24</td>\n",
       "      <td>54400</td>\n",
       "      <td>RENT</td>\n",
       "      <td>8.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>C</td>\n",
       "      <td>35000</td>\n",
       "      <td>14.27</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.55</td>\n",
       "      <td>Y</td>\n",
       "      <td>4</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21</td>\n",
       "      <td>9900</td>\n",
       "      <td>OWN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>A</td>\n",
       "      <td>2500</td>\n",
       "      <td>7.14</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.25</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17823</th>\n",
       "      <td>22</td>\n",
       "      <td>19200</td>\n",
       "      <td>RENT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>DEBTCONSOLIDATION</td>\n",
       "      <td>E</td>\n",
       "      <td>3000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.16</td>\n",
       "      <td>Y</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17828</th>\n",
       "      <td>24</td>\n",
       "      <td>48200</td>\n",
       "      <td>RENT</td>\n",
       "      <td>3.0</td>\n",
       "      <td>VENTURE</td>\n",
       "      <td>B</td>\n",
       "      <td>5000</td>\n",
       "      <td>10.38</td>\n",
       "      <td>No Default</td>\n",
       "      <td>0.10</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17829</th>\n",
       "      <td>23</td>\n",
       "      <td>117696</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>A</td>\n",
       "      <td>15000</td>\n",
       "      <td>6.03</td>\n",
       "      <td>No Default</td>\n",
       "      <td>0.13</td>\n",
       "      <td>N</td>\n",
       "      <td>4</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17831</th>\n",
       "      <td>24</td>\n",
       "      <td>38000</td>\n",
       "      <td>RENT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PERSONAL</td>\n",
       "      <td>B</td>\n",
       "      <td>12000</td>\n",
       "      <td>11.89</td>\n",
       "      <td>Default</td>\n",
       "      <td>0.32</td>\n",
       "      <td>N</td>\n",
       "      <td>3</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17832</th>\n",
       "      <td>22</td>\n",
       "      <td>52000</td>\n",
       "      <td>MORTGAGE</td>\n",
       "      <td>6.0</td>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>C</td>\n",
       "      <td>9750</td>\n",
       "      <td>13.06</td>\n",
       "      <td>No Default</td>\n",
       "      <td>0.19</td>\n",
       "      <td>Y</td>\n",
       "      <td>2</td>\n",
       "      <td>Under 25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12315 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       person_age  person_income person_home_ownership  person_emp_length  \\\n",
       "0              22          59000                  RENT              123.0   \n",
       "1              21           9600                   OWN                5.0   \n",
       "3              23          65500                  RENT                4.0   \n",
       "4              24          54400                  RENT                8.0   \n",
       "5              21           9900                   OWN                2.0   \n",
       "...           ...            ...                   ...                ...   \n",
       "17823          22          19200                  RENT                0.0   \n",
       "17828          24          48200                  RENT                3.0   \n",
       "17829          23         117696              MORTGAGE                2.0   \n",
       "17831          24          38000                  RENT                0.0   \n",
       "17832          22          52000              MORTGAGE                6.0   \n",
       "\n",
       "             loan_intent loan_grade  loan_amnt  loan_int_rate loan_status  \\\n",
       "0               PERSONAL          D      35000          16.02     Default   \n",
       "1              EDUCATION          B       1000          11.14  No Default   \n",
       "3                MEDICAL          C      35000          15.23     Default   \n",
       "4                MEDICAL          C      35000          14.27     Default   \n",
       "5                VENTURE          A       2500           7.14     Default   \n",
       "...                  ...        ...        ...            ...         ...   \n",
       "17823  DEBTCONSOLIDATION          E       3000            NaN     Default   \n",
       "17828            VENTURE          B       5000          10.38  No Default   \n",
       "17829            MEDICAL          A      15000           6.03  No Default   \n",
       "17831           PERSONAL          B      12000          11.89     Default   \n",
       "17832          EDUCATION          C       9750          13.06  No Default   \n",
       "\n",
       "       loan_percent_income cb_person_default_on_file  \\\n",
       "0                     0.59                         Y   \n",
       "1                     0.10                         N   \n",
       "3                     0.53                         N   \n",
       "4                     0.55                         Y   \n",
       "5                     0.25                         N   \n",
       "...                    ...                       ...   \n",
       "17823                 0.16                         Y   \n",
       "17828                 0.10                         N   \n",
       "17829                 0.13                         N   \n",
       "17831                 0.32                         N   \n",
       "17832                 0.19                         Y   \n",
       "\n",
       "       cb_person_cred_hist_length Age Group  \n",
       "0                               3  Under 25  \n",
       "1                               2  Under 25  \n",
       "3                               2  Under 25  \n",
       "4                               4  Under 25  \n",
       "5                               2  Under 25  \n",
       "...                           ...       ...  \n",
       "17823                           2  Under 25  \n",
       "17828                           3  Under 25  \n",
       "17829                           4  Under 25  \n",
       "17831                           3  Under 25  \n",
       "17832                           2  Under 25  \n",
       "\n",
       "[12315 rows x 13 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df[credit_df['Age Group']== 'Under 25'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#credit_df.sort_values(by='person_age',ascending=True,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "credit_df['loan_int_rate'] = credit_df['loan_int_rate'].dropna()\n",
    "credit_df['person_emp_length'] = credit_df['person_emp_length'].dropna()"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 15,
=======
   "execution_count": 43,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
=======
   "execution_count": 11,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25-40</th>\n",
       "      <td>18501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Under 25</th>\n",
       "      <td>12315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40-55</th>\n",
       "      <td>1606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55-70</th>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Age Group\n",
       "25-40         18501\n",
       "Under 25      12315\n",
       "40-55          1606\n",
       "55-70           139"
      ]
     },
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     "execution_count": 15,
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     "execution_count": 43,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
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     "execution_count": 11,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_loans = pd.DataFrame(credit_df['Age Group'].value_counts())\n",
    "total_loans"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 16,
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   "execution_count": 71,
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   "execution_count": 12,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12315"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_under_25 = total_loans.iloc[1, 0]\n",
    "total_under_25"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 60,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
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   "execution_count": 13,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18501"
      ]
     },
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     "execution_count": 16,
=======
     "execution_count": 60,
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     "execution_count": 13,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_25_40 = total_loans.iloc[0, 0]\n",
    "total_25_40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1606"
      ]
     },
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     "execution_count": 62,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
=======
     "execution_count": 14,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "total_loans.iloc[0, 0]\n"
=======
    "total_40_55 = total_loans.iloc[2, 0]\n",
    "total_40_55"
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 14,
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   "execution_count": 63,
=======
   "execution_count": 15,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "139"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_55_70 = total_loans.iloc[3, 0]\n",
    "total_55_70 "
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 64,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
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   "execution_count": 16,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age Group</th>\n",
       "      <th>loan_status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Under 25</th>\n",
       "      <th>Default</th>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "      <td>2744</td>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "      <td>2589</td>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "      <td>2860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "      <td>9197</td>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "      <td>8533</td>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "      <td>9455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">25-40</th>\n",
       "      <th>Default</th>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "      <td>3724</td>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "      <td>3543</td>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "      <td>3872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "      <td>14300</td>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "      <td>13225</td>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "      <td>14629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">40-55</th>\n",
       "      <th>Default</th>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>319</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>296</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "      <td>337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "      <td>1245</td>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "      <td>1137</td>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">55-70</th>\n",
       "      <th>Default</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>34</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "      <td>101</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "      <td>92</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       person_age  person_income  person_home_ownership  \\\n",
       "Age Group loan_status                                                     \n",
       "Under 25  Default            2860           2860                   2860   \n",
       "          No Default         9455           9455                   9455   \n",
       "25-40     Default            3872           3872                   3872   \n",
       "          No Default        14629          14629                  14629   \n",
       "40-55     Default             337            337                    337   \n",
       "          No Default         1269           1269                   1269   \n",
       "55-70     Default              37             37                     37   \n",
       "          No Default          102            102                    102   \n",
       "\n",
       "                       person_emp_length  loan_intent  loan_grade  loan_amnt  \\\n",
       "Age Group loan_status                                                          \n",
       "Under 25  Default                   2744         2860        2860       2860   \n",
       "          No Default                9197         9455        9455       9455   \n",
       "25-40     Default                   3724         3872        3872       3872   \n",
       "          No Default               14300        14629       14629      14629   \n",
       "40-55     Default                    319          337         337        337   \n",
       "          No Default                1245         1269        1269       1269   \n",
       "55-70     Default                     37           37          37         37   \n",
       "          No Default                 101          102         102        102   \n",
       "\n",
       "                       loan_int_rate  loan_percent_income  \\\n",
       "Age Group loan_status                                       \n",
       "Under 25  Default               2589                 2860   \n",
       "          No Default            8533                 9455   \n",
       "25-40     Default               3543                 3872   \n",
       "          No Default           13225                14629   \n",
       "40-55     Default                296                  337   \n",
       "          No Default            1137                 1269   \n",
       "55-70     Default                 34                   37   \n",
       "          No Default              92                  102   \n",
       "\n",
       "                       cb_person_default_on_file  cb_person_cred_hist_length  \n",
       "Age Group loan_status                                                         \n",
       "Under 25  Default                           2860                        2860  \n",
       "          No Default                        9455                        9455  \n",
       "25-40     Default                           3872                        3872  \n",
       "          No Default                       14629                       14629  \n",
       "40-55     Default                            337                         337  \n",
       "          No Default                        1269                        1269  \n",
       "55-70     Default                             37                          37  \n",
       "          No Default                         102                         102  "
      ]
     },
<<<<<<< HEAD
<<<<<<< HEAD
     "execution_count": 14,
=======
     "execution_count": 64,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
=======
     "execution_count": 16,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "loan_status = credit_df.groupby(['Age Group', 'loan_status']).count()\n",
=======
    "loan_status = pd.DataFrame(credit_df.groupby(['Age Group','loan_status']).count())\n",
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
    "loan_status"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
<<<<<<< HEAD
   "execution_count": 22,
=======
   "execution_count": 74,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
=======
   "execution_count": 17,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7677628907835973"
      ]
     },
<<<<<<< HEAD
<<<<<<< HEAD
     "execution_count": 22,
=======
     "execution_count": 74,
=======
     "execution_count": 17,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_no_default_under_25 = loan_status.loc['Under 25','No Default'][0]/total_under_25\n",
    "percent_no_default_under_25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.23223710921640273"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_default_under_25 = 1 - percent_no_default_under_25\n",
    "percent_default_under_25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7907140154586239"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_no_default_25_40 = loan_status.loc['25-40', 'No Default'][0]/total_25_40\n",
    "percent_no_default_25_40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20928598454137615"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_default_25_40 = 1 - percent_no_default_25_40\n",
    "percent_default_25_40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.790161892901619"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_default_40_55 = loan_status.loc['40-55', 'No Default'][0]/total_40_55\n",
    "percent_default_40_55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20983810709838102"
      ]
     },
<<<<<<< HEAD
     "execution_count": 80,
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
=======
     "execution_count": 22,
>>>>>>> 2ed2c23520105930cccd442b9b2e1171a7aec270
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "WTF = loan_status.loc['Under 25','No Default'][0]/(loan_status.loc['Under 25','No Default'][0] + loan_status.loc['Under 25','Default'][0])\n",
    "WTF"
=======
    "percent_no_default_40_55 = 1 - percent_default_40_55\n",
    "percent_no_default_40_55"
>>>>>>> b0bf7deaa127b04a48ce775d24e18af6fa90d6e5
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Age Group'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#age_plot = sns.countplot(y='person_age',hue='loan_status', data=credit_df)\n",
    "\n",
    "fig_dims = (15, 10)\n",
    "fig, ax = plt.subplots(figsize=fig_dims)\n",
    "sns.countplot(y = \"Age Group\", hue='loan_status', ax=ax, data=credit_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "person_age                       int64\n",
       "person_income                    int64\n",
       "person_home_ownership           object\n",
       "person_emp_length              float64\n",
       "loan_intent                     object\n",
       "loan_grade                      object\n",
       "loan_amnt                        int64\n",
       "loan_int_rate                  float64\n",
       "loan_status                     object\n",
       "loan_percent_income            float64\n",
       "cb_person_default_on_file       object\n",
       "cb_person_cred_hist_length       int64\n",
       "Age Group                     category\n",
       "dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credit_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='person_home_ownership'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (6, 4)\n",
    "fig, ax = plt.subplots(figsize=fig_dims)\n",
    "sns.countplot(y = \"person_home_ownership\", hue='loan_status', ax=ax, data=credit_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>loan_status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">MORTGAGE</th>\n",
       "      <th>Default</th>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "      <td>1630</td>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "      <td>1539</td>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "      <td>1690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>11754</td>\n",
       "      <td>11754</td>\n",
       "      <td>11463</td>\n",
       "      <td>11754</td>\n",
       "      <td>11754</td>\n",
       "      <td>11754</td>\n",
       "      <td>10583</td>\n",
       "      <td>11754</td>\n",
       "      <td>11754</td>\n",
       "      <td>11754</td>\n",
       "      <td>11748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">OTHER</th>\n",
       "      <th>Default</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>27</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>67</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">OWN</th>\n",
       "      <th>Default</th>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "      <td>167</td>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "      <td>169</td>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "      <td>2243</td>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "      <td>2187</td>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "      <td>2391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">RENT</th>\n",
       "      <th>Default</th>\n",
       "      <td>5192</td>\n",
       "      <td>5192</td>\n",
       "      <td>4996</td>\n",
       "      <td>5192</td>\n",
       "      <td>5192</td>\n",
       "      <td>5192</td>\n",
       "      <td>4729</td>\n",
       "      <td>5192</td>\n",
       "      <td>5192</td>\n",
       "      <td>5192</td>\n",
       "      <td>5190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>11254</td>\n",
       "      <td>11254</td>\n",
       "      <td>11080</td>\n",
       "      <td>11254</td>\n",
       "      <td>11254</td>\n",
       "      <td>11254</td>\n",
       "      <td>10164</td>\n",
       "      <td>11254</td>\n",
       "      <td>11254</td>\n",
       "      <td>11254</td>\n",
       "      <td>11242</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   person_age  person_income  \\\n",
       "person_home_ownership loan_status                              \n",
       "MORTGAGE              Default            1690           1690   \n",
       "                      No Default        11754          11754   \n",
       "OTHER                 Default              33             33   \n",
       "                      No Default           74             74   \n",
       "OWN                   Default             193            193   \n",
       "                      No Default         2391           2391   \n",
       "RENT                  Default            5192           5192   \n",
       "                      No Default        11254          11254   \n",
       "\n",
       "                                   person_emp_length  loan_intent  loan_grade  \\\n",
       "person_home_ownership loan_status                                               \n",
       "MORTGAGE              Default                   1630         1690        1690   \n",
       "                      No Default               11463        11754       11754   \n",
       "OTHER                 Default                     33           33          33   \n",
       "                      No Default                  74           74          74   \n",
       "OWN                   Default                    167          193         193   \n",
       "                      No Default                2243         2391        2391   \n",
       "RENT                  Default                   4996         5192        5192   \n",
       "                      No Default               11080        11254       11254   \n",
       "\n",
       "                                   loan_amnt  loan_int_rate  \\\n",
       "person_home_ownership loan_status                             \n",
       "MORTGAGE              Default           1690           1539   \n",
       "                      No Default       11754          10583   \n",
       "OTHER                 Default             33             27   \n",
       "                      No Default          74             67   \n",
       "OWN                   Default            193            169   \n",
       "                      No Default        2391           2187   \n",
       "RENT                  Default           5192           4729   \n",
       "                      No Default       11254          10164   \n",
       "\n",
       "                                   loan_percent_income  \\\n",
       "person_home_ownership loan_status                        \n",
       "MORTGAGE              Default                     1690   \n",
       "                      No Default                 11754   \n",
       "OTHER                 Default                       33   \n",
       "                      No Default                    74   \n",
       "OWN                   Default                      193   \n",
       "                      No Default                  2391   \n",
       "RENT                  Default                     5192   \n",
       "                      No Default                 11254   \n",
       "\n",
       "                                   cb_person_default_on_file  \\\n",
       "person_home_ownership loan_status                              \n",
       "MORTGAGE              Default                           1690   \n",
       "                      No Default                       11754   \n",
       "OTHER                 Default                             33   \n",
       "                      No Default                          74   \n",
       "OWN                   Default                            193   \n",
       "                      No Default                        2391   \n",
       "RENT                  Default                           5192   \n",
       "                      No Default                       11254   \n",
       "\n",
       "                                   cb_person_cred_hist_length  Age Group  \n",
       "person_home_ownership loan_status                                         \n",
       "MORTGAGE              Default                            1690       1690  \n",
       "                      No Default                        11754      11748  \n",
       "OTHER                 Default                              33         33  \n",
       "                      No Default                           74         74  \n",
       "OWN                   Default                             193        193  \n",
       "                      No Default                         2391       2391  \n",
       "RENT                  Default                            5192       5190  \n",
       "                      No Default                        11254      11242  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loan_status_home = pd.DataFrame(credit_df.groupby(['person_home_ownership','loan_status']).count())\n",
    "loan_status_home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='loan_intent'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3Zvec2JahdYiXr970+2C2Oet7xeKODqFNlJJ81yeJZQtJW0TEw5J+0G6Rbdoap54bk++pSXlL070NwETgUoqbUWjuWdqN5RVJgq0id2/271J1ipp2jogpwBSA6soKP7vbzKyNlHKr0RuSegCPAdMl/TfwfvuEtcm7BzhY0lCgIiKeLnK/XwD7A32LqLsK+HheWU/gjWS58Zzvp4AtyZ3zNTOzTqCU5Ps1YC1wPrmrbZcCX22HmDZ5EbEGmAvcTG4UXOx+64HryX3HrXkUOEpSTwBJ3wAWRkRDXpurgXOBiyR1KzYWMzNrP0Un34h4G9iB3LnMVcCdEbGqvQIrA3cAg4E7U2WfllSX+pxbYL+pFHE6ICIWATcCjyfTy2cA32qm7gJgIbkp8GLjMDOzdlLKixWOJ3dOci65B2zcIGl8RNzdTrFt0iJiNqnXLEZEPVDRTN2q1PI6cldHN1snVXYTcFMzbfbIW0/PUhSMw8zMslHKBVffAXaPiNcBJO0I/J7crTVmZmZWpFLO+W7RmHgTq0rc38zMzCht5PsbSf/Dvy4gOgG4v+1DMjMzK2+lPF5yvKRjgH3IncuckpzXNDMzsxKUMvIlImYCM9spFjMzs81Cq8lX0lsUfppS4ysFe7V5VGZmZmWsmPtJe2YRiJmZ2ebCVyubmZllzMnXzMwsYyVdcGWbry13HkDfK+Z3dBhmZmXBI18zM7OMOfmamZllzMnXzMwsY06+ZmZmGXPyNTMzy5iTr5mZWcZ8q5EVZcnyVQwbP62jw2g3tRNHd3QIZrYZ8cjXzMwsY06+ZmZmGXPyNTMzy5iTr5mZWcacfM3MzDLm5GtmZpYxJ18zM7OMOfmamZllzMnXzMwsY06+ZmZmGcs8+Upak7c+RtKNqfVxkp5PPk9K2je1ba6klyUpVXZPY5uSqiStlVSX+oxOttVL2iFZDkm/SLXRVdIKSfelYlqR7P+cpLEFyp+XdEFeXwrGLulWSafn1T1a0v3JckNezJe0UX9npvY7NonjlFTd9yQtTpavLeXf0czMNlynerazpCOB04F9I2KlpKHAPZL2iIj/Taq9AewDPC5pW2DnvGaWRkRNK4d6GxgoqSIi1gJfAv6WV2dGRJwtqTfwrKR788q3B16QdHdEvNJS7MAdwCXATan2RyTlAGtbiHlj+jtc0oCIeLaxICJuAW6BXIIGDoyIlc3sb2Zm7aCzTTv/BzC+MRlExNPAbcBZqTp3kktcAN8AZm3gsR4AvpIsj+RfifBDIuJ1YCnwqbzyVcBf+FcybCn23wO7SNoZQNLHgEOAe4qIc2P6Owm4rIT6ZmaWgY4Y+VZIqkutbwc0jioHALV59ecDJ6fWHwR+JqkLuaQ0DvjP1PZP57V/TkQ8ViCOO4ErkqnmauBmYL/8SpL6A/3JJdrdUuV9ge7AotZij4gGSbOA44H/Bo4CHo6It5J6+d/JNRExow36exdwpqTPFOh/qySNS45H5TbdmN1z4oY0s0l4+ery7dumru8Vizs6BLM21xHJ90NTrJLGAMNbqC8gUusNwOPACUBFRNSnTolCcdPORMQiSVXkRr33F6hyQnLOdh1wekT8IznOCZIOBD4PjI2Id4uM/Q5gIrnkOwJIv5+vpWnnjelvQ3LMS8mN9EsSEVOAKQDVlRXRSnUz66TWr1/P8uXLeffdln5d2cbo3r07ffr0oVu3bkXV71TnfIHngGHAQ6myoUl52p3AbGDCRh7vXnJTswcA2+dtmxERZxfYp/Gc7xeAX0t6IDkf3VrsfwB2ljQY2Jt/TSUXY2P6+wtyyffZ1iqaWXlavnw5PXv2pKqqirw/3q0NRASrVq1i+fLl9OvXr6h9Ots53+uAHyQXMyGpBhgD/N+8eo8B19DMedoS3AxcHRElz2tFxBPkEtt5SVGLsUdEkJsGvg24v5URc74N7m9ErAeuB84vdV8zKw/vvvsu22+/vRNvO5HE9ttvX9LMQqca+UbEvZIqgXmSAngLODEiXs2rF+RGrIXknwO9OSImN3O85eSmgTfUD4CnJX2/yNjvAMaTu/I5Lf+c728ioqlOG/R3KnB5sZ0ys/LjxNu+Sv1+lfu9btay6sqKuO/0Dbpuy2yj+IKrjbdkyRJ23XXXjg6j7BX6niXVRsRHrmvqbNPOZmZmZc/J18zMWtWjR48OO/bcuXOZN29em9XrDJx8zcysU3PyNTOzzVpEMH78eAYOHMigQYOYMSP3PKA1a9Zw8MEHM3ToUAYNGsScOXMAqK+vZ9ddd2Xs2LEMGDCAQw89lLVr1zbb/uTJk9ltt92orq5mxIgR1NfX89Of/pTrr7+empoaHnvsMX71q1+x5557MmTIEA455BBee+21gvXGjBnD3Xff3dR24+j91VdfZf/996empoaBAwfy2GOFnsPUvjrV1c5mZta5zZo1i7q6OhYuXMjKlSvZfffd2X///dlxxx2ZPXs2vXr1YuXKley1114cddRRALz44ovccccd/OxnP+P4449n5syZnHjiiQXbv/baa1m2bBlbbbUVb7zxBttuuy1nnHEGPXr04KKLLgLgn//8J3/84x+RxM9//nOuu+46fvjDH36k3tSpUwse4/bbb+ewww7jO9/5Dg0NDbzzzjvt8E21zMnXzMyK9vjjjzNy5Ei6dOnCTjvtxBe/+EWeeuopjjjiCC677DIeffRRtthiC/72t7/x2muvAdCvXz9qamoAGDZsGPX19c22X11dzahRozj66KM5+uijC9ZZvnw5J5xwAq+++irvvfde0Q+2aLT77rtz6qmnsn79eo4++uim2LLkaWczMytac7enTp8+nRUrVlBbW0tdXR077bRT00Mnttpqq6Z6Xbp04f3332+2/V//+tecddZZ1NbWMmzYsIJ1zznnHM4++2wWL17MTTfd1OzDLbp27coHH3zQFPd7770HwP7778+jjz5KZWUlJ510EtOmTSu4f3ty8jUzs6Ltv//+zJgxg4aGBlasWMGjjz7KHnvswerVq+nduzfdunXj4Ycf5qWXXiq57Q8++IBXXnmFAw88kOuuu4433niDNWvW0LNnT956662meqtXr6ayshKA2267rak8v15VVRW1tbn33cyZM4f169cD8NJLL9G7d2/Gjh3LaaedxtNPP71B38XGcPI1M7Oiff3rX6e6uprBgwdz0EEHcd111/GJT3yCUaNGMX/+fIYPH8706dPZZZddSm67oaGBE088kUGDBjFkyBAuuOACtt12W7761a8ye/bspgupJkyYwHHHHcd+++3HDjvs0LR/fr2xY8fyyCOPsMcee/CnP/2JrbfeGshdFV1TU8OQIUOYOXMm5513XnMhtRs/4cqKMnz48Jg/f35Hh2FmG8BPuMqGn3BlZmbWiflqZzMzy9xZZ53FH/7whw+VnXfeeZxyyikdFFG2nHzNzCxzP/7xjzs6hA7laWczM7OMOfmamZllzMnXzMwsYz7na0VZsnwVw8Zn/xSYzUntxNEdHYJtJtr6/+Vi/tvt0qULgwYNYv369XTt2pWTTz6Z888/ny22aHkMOH78eO6//36+/OUvM3HixJJj69GjB2vWrKG+vp558+bxzW9+s+Q22oOTr5mZtbuKigrq6uoAeP311/nmN7/J6tWrueqqq1rc76abbmLFihUfekTlhqivr+f222/vNMnX085mZpap3r17M2XKFG688UYigoaGBsaPH8/uu+9OdXU1N910EwBHHXUUb7/9NnvuuSczZswo+CpBgAkTJjBp0qSm9gcOHPiRlzdccsklPPbYY9TU1HD99ddn1tfmeORrZmaZ69+/Px988AGvv/46c+bMYZtttuGpp55i3bp17LPPPhx66KHce++99OjRo2nE3NyrBItx7bXXMmnSJO6777527FXxnHzNzKxDND7e+Le//S2LFi1qevH96tWrefHFFz/yqsCNfZVgZ+Lka2ZmmfvrX/9Kly5d6N27NxHBDTfcwGGHHdbiPueccw4XXnghRx11FHPnzmXChAnAh18dCDT7isHOxOd8zcwsUytWrOCMM87g7LPPRhKHHXYYP/nJT5pe+ffnP/+Zt99++yP7NfcqwaqqqqbXAj799NMsW7bsI/vmv26wo3nka2a2memI29rWrl1LTU1N061GJ510EhdeeCEA3/rWt6ivr2fo0KFEBDvuuCP33HPPR9pofJVgZWUle+21V1OSPeaYY5g2bRo1NTXsvvvufO5zn/vIvtXV1XTt2pXBgwczZswYLrjggnbtb2v8SkErytaf6Be7nNTyLQG2cXyfr7UXv1IwG36loJmZWSfm5GtmZpYxJ18zM7OMtWvyldQgqU7Ss5IWSrpQ0hbJtgMkrU62N34OydtvoaSnJe0taVCq3j8kLUuWfy+pm6RrJb0o6RlJT0o6ImlrG0nTJC1NPtMkbZNsq5IUks5JxXyjpDHJ8l6S/pQcZ4mkCal6R0taJOl5SYslHZ3adqukY/O+iypJz+T1fYGkFyQ9KunIvPpdJa2UdE2y/p1U/xtSy+dKmiDpoqSeJF2efBd/lvSwpAGpduslzUytHyvp1o35dzYzs9K099XOayOiBkBSb+B2YBvgymT7YxFxZCv7HQZcExFfBBrLbgXui4i7k/VrgZ2BgRGxTtJOwBeTtqYCz0TE6KTuVcDPgeOS7a8D50m6KSLey4vjNuD4iFgoqQvw+aSNwcAk4EsRsUxSP+B3kv4aEYuK/G6a+i6pBrhH0tqIeDDZfijwAnC8pMsi4nvA95L6axq/n2R9Qqrds4C9gcER8Y6kQ4F7JQ2IiMab34Yn688WGauZmbWhzKadI+J1YBxwtiSVsGsv4J/NbZT0MWAscE5ErEuO9VpE3CXpM8Aw4P+kdrmaXPL5dLK+AngQOLlA872BV5M2GyLiuaT8IuD7EbEs2bYMuAYYX0K/mkREXRLX2anikcB/Ay8De5XQ3H+Q+y7eSdr+LTAPGJWqMwm4bENiNTOzjZfpfb4R8ddk2rl3UrSfpLpUlWMiYilQkZR3JzeiPaiFZj8DvBwRbxbYthtQFxENqRgakrYHAI2j1GuBByTdnLf/9cALkuYCvwFuS0aPA8glsLT55EadG+ppkuQtqQI4GDgd2JZcIn6itQYk9QK2Tr7D/NgGpNbvAs5M/jhpqb1x5P5gonKbbszuWfrrvKx4L1/t79c+rO8Vi9ul3ZevHtSm7RUTpyQuvPDCpmcxT5o0iTVr1jQ9pao1t956K+PHj6dPnz6sWbOG/v37c+WVV7L33nu3uN+KFSs48sgjee+995g8eTL77bdfUcdLH3f+/PnceOON3HPPPXzuc59jt912K6mNQjrigqv0qPexiKhJfRqTxtpkfRfgcGBaiaPl9LEK3cj8ofJk5Pok8KF3TUXE1cBw4LfJtt+00G5zxyol1kZHAg8no9eZwNeTae+NaTsdWwMwEbi0pZ0iYkpEDI+I4dttvTGHN7PN3VZbbcWsWbNYuXLlBrdxwgknsGDBAl588UUuueQSvvGNb7BkyZIW93nwwQfZZZddWLBgQcmJN98999zDc88913rFImSafCX1J/eL//Vi94mIJ4AdgB2bqfIXoK+kngW2PQsMabzIK4lhC2AwkP8v9n1yU7Yf+k4iYmlE/ITcSHSwpO2TdvNvmh4KbMy/ypBUTCOBQyTVA7XA9sCBrTWQjP7fTr7n1mL7BbA/0HcjYjYzK0rXrl0ZN25cwdf5vfTSSxx88MFUV1dz8MEH8/LLL7fa3oEHHsi4ceOYMmUKAEuXLuXwww9n2LBh7Lfffjz//PPU1dVx8cUXc//991NTU8PatWv59re/zfDhwxkwYABXXnllU3tVVVVNfxjMnz+fAw444EPHmzdvHvfeey/jx4+npqaGpUvzJxhLk1nylbQj8FPgxijhsVqSdgG6AKsKbU9Gh1OByZK2TPbZWdKJEfEXYAFweWqXy4Gnk23pdp4nl6CaLgCT9JXUiPuz5P5weIPclPOlkqqSelXkzqEW926rj/axGvhP4MfJ1PG+QN+IqIqIKnLT2SOLbG4iue+iImn7kKS929OVImI9uWn18zckZjOzUp111llMnz6d1atXf6j87LPPZvTo0SxatIhRo0Zx7rnnFtXe0KFDef755wEYN24cN9xwA7W1tUyaNIkzzzyTmpoarr76ak444QTq6uqoqKjge9/7HvPnz2fRokU88sgjLFpU3DWye++9N0cddRQTJ06krq6OT3/6063v1IL2PufbeO62G/A+udHWj1Lb88/5fje5grkiVS7g5PR52wIuB74LPCfpXeBt4Ipk22nADZL+krT1RFJWyPfIJetGJwHXS3oniX9UEkedpP8AfiWpG7AeuDi5cKrRTZL+K1l+hY8mz/0kLQA+Rm4m4NyIeDC5zemhxovHEnOA6yRtlVdeyA3Ax4HFkhqA/wW+FhFrC9Sdyof/MDEzaze9evVi9OjRTJ48mYqKiqbyJ554glmzZgFw0kkncfHFFxfVXuM4bs2aNcybN4/jjjuuadu6dYV/Vd51111MmTKF999/n1dffZXnnnuO6urqDe3SBmvX5BsRzZ4ojIi55G47Kmm/ZPuYvPX3gIuTT37dfwInNtNOPTAwtb6Q1GxARIxoIYZZwKxi4ksZmGyfS/N9vxW4Na/sH6Sm3SOiR972CanlAK5KPoXar0otrwM+2UysZmZt7vzzz2fo0KGccsopzdYp9hKfBQsWsOuuu/LBBx+w7bbbUldX12L9ZcuWMWnSJJ566ik+/vGPM2bMmKbXD6ZfS5jFKwn9hCszM8vMdtttx/HHH8/UqVObyvbee2/uvPNOAKZPn86+++7bajuPPPIIU6ZMYezYsfTq1Yt+/frxy1/+EsiNiBcuXPiRfd5880223nprttlmG1577TUeeOCBpm1VVVXU1tYCMHPmzI/sC237WkK/UtDMbDPTXrcwFevf//3fufHGG5vWJ0+ezKmnnsrEiRPZcccdueWWWwruN2PGDB5//HHeeecd+vXrx8yZM5veIjR9+nS+/e1v893vfpf169czYsQIBg8e/KH9Bw8ezJAhQxgwYAD9+/dnn332adp25ZVXctppp/H973+fPffcs+DxR4wYwdixY5k8eTJ33333Rp339SsFrSjVlRVx3+kt3hZsZm2srZKkXymYDb9S0MzMrBNz8jUzM8uYk6+Z2WbApxjbV6nfr5OvmVmZ6969O6tWrXICbicRwapVq+jevXvR+/hqZzOzMtenTx+WL1/OihUrOjqUstW9e3f69OlTdH0nXyvKljsPoO8V8zs6DDPbAN26daNfv34dHYaleNrZzMwsY06+ZmZmGXPyNTMzy5ifcGVFkfQW8EJHx5GRHYANf+P3psf9LV+bU1+hc/b3UxHxkffR+4IrK9YLhR6RVo4kzd9c+grubznbnPoKm1Z/Pe1sZmaWMSdfMzOzjDn5WrGmdHQAGdqc+grubznbnPoKm1B/fcGVmZlZxjzyNTMzy5iTr5mZWcacfK1Fkg6X9IKkv0i6pKPj2VCSbpb0uqRnUmXbSfqdpBeTnx9Pbbs06fMLkg5LlQ+TtDjZNlmSsu5LayT9m6SHJS2R9Kyk85Lycu1vd0lPSlqY9PeqpLws+wsgqYukBZLuS9bLua/1SZx1kuYnZZt+fyPCH38KfoAuwFKgP7AlsBDYraPj2sC+7A8MBZ5JlV0HXJIsXwL8IFneLenrVkC/5Dvokmx7EvgCIOAB4IiO7luBvu4MDE2WewJ/TvpUrv0V0CNZ7gb8CdirXPubxHkhcDtwXzn/t5zEWQ/skFe2yffXI19ryR7AXyLirxHxHnAn8LUOjmmDRMSjwD/yir8G3JYs3wYcnSq/MyLWRcQy4C/AHpJ2BnpFxBOR+795WmqfTiMiXo2Ip5Plt4AlQCXl29+IiDXJarfkE5RpfyX1Ab4C/DxVXJZ9bcEm318nX2tJJfBKan15UlYudoqIVyGXsIDeSXlz/a5MlvPLOy1JVcAQcqPBsu1vMg1bB7wO/C4iyrm//wVcDHyQKivXvkLuD6nfSqqVNC4p2+T768dLWksKnRPZHO5Na67fm9T3IakHMBM4PyLebOEU1ybf34hoAGokbQvMljSwheqbbH8lHQm8HhG1kg4oZpcCZZtEX1P2iYi/S+oN/E7S8y3U3WT665GvtWQ58G+p9T7A3zsolvbwWjIdRfLz9aS8uX4vT5bzyzsdSd3IJd7pETErKS7b/jaKiDeAucDhlGd/9wGOklRP7jTQQZL+H+XZVwAi4u/Jz9eB2eROh23y/XXytZY8BXxWUj9JWwIjgHs7OKa2dC9wcrJ8MjAnVT5C0laS+gGfBZ5MprfekrRXcqXk6NQ+nUYS21RgSUT8KLWpXPu7YzLiRVIFcAjwPGXY34i4NCL6REQVuf8fH4qIEynDvgJI2lpSz8Zl4FDgGcqhvx15tZc/nf8DfJnc1bJLge90dDwb0Y87gFeB9eT+Cj4N2B54EHgx+bldqv53kj6/QOqqSGA4uf/5lwI3kjwlrjN9gH3JTaktAuqSz5fLuL/VwIKkv88AVyTlZdnfVKwH8K+rncuyr+TutFiYfJ5t/B1UDv314yXNzMwy5mlnMzOzjDn5mpmZZczJ18zMLGNOvmZmZhlz8jUzM8uYk6+ZbTYknS/pYx0dh5lvNTKzzUbyZKjhEbGyo2OxzZtHvmbWqUgaLWmRcu/n/YWkT0l6MCl7UFLfpN6tko5N7bcm+XmApLmS7pb0vKTpyjkX+CTwsKSHO6Z3Zjl+sYKZdRqSBpB7QtE+EbFS0nbkXhk3LSJuk3QqMJnWXwc3BBhA7vm9f0jamyzpQuBAj3yto3nka2adyUHA3Y3JMSL+Qe4F6Lcn239B7vGZrXkyIpZHxAfkHq9Z1fahmm04J18z60xE6696a9z+PsnvsORh+Vum6qxLLTfgWT7rZJx8zawzeRA4XtL2AMm08zxyb/ABGAU8nizXA8OS5a8B3Ypo/y2gZ1sFa7ah/NegmXUaEfGspO8Bj0hqIPe2onOBmyWNB1YApyTVfwbMkfQkuaT9dhGHmAI8IOnViDiw7XtgVhzfamRmZpYxTzubmZllzMnXzMwsY06+ZmZmGXPyNTMzy5iTr5mZWcacfM3MzDLm5GtmZpax/w+Ru6DqCdYYngAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (6, 4)\n",
    "fig, ax = plt.subplots(figsize=fig_dims)\n",
    "sns.countplot(y = \"loan_intent\", hue='loan_status', ax=ax, data=credit_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">DEBTCONSOLIDATION</th>\n",
       "      <th>Default</th>\n",
       "      <td>1490</td>\n",
       "      <td>1490</td>\n",
       "      <td>1490</td>\n",
       "      <td>1437</td>\n",
       "      <td>1490</td>\n",
       "      <td>1490</td>\n",
       "      <td>1346</td>\n",
       "      <td>1490</td>\n",
       "      <td>1490</td>\n",
       "      <td>1490</td>\n",
       "      <td>1489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "      <td>3627</td>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "      <td>3357</td>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "      <td>3722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">EDUCATION</th>\n",
       "      <th>Default</th>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>1066</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>1011</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "      <td>1111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>5342</td>\n",
       "      <td>5342</td>\n",
       "      <td>5342</td>\n",
       "      <td>5224</td>\n",
       "      <td>5342</td>\n",
       "      <td>5342</td>\n",
       "      <td>4843</td>\n",
       "      <td>5342</td>\n",
       "      <td>5342</td>\n",
       "      <td>5342</td>\n",
       "      <td>5340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">HOMEIMPROVEMENT</th>\n",
       "      <th>Default</th>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "      <td>897</td>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "      <td>863</td>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "      <td>941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "      <td>2613</td>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "      <td>2427</td>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "      <td>2664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">MEDICAL</th>\n",
       "      <th>Default</th>\n",
       "      <td>1621</td>\n",
       "      <td>1621</td>\n",
       "      <td>1621</td>\n",
       "      <td>1565</td>\n",
       "      <td>1621</td>\n",
       "      <td>1621</td>\n",
       "      <td>1471</td>\n",
       "      <td>1621</td>\n",
       "      <td>1621</td>\n",
       "      <td>1621</td>\n",
       "      <td>1620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>4450</td>\n",
       "      <td>4450</td>\n",
       "      <td>4450</td>\n",
       "      <td>4332</td>\n",
       "      <td>4450</td>\n",
       "      <td>4450</td>\n",
       "      <td>3980</td>\n",
       "      <td>4450</td>\n",
       "      <td>4450</td>\n",
       "      <td>4450</td>\n",
       "      <td>4441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">PERSONAL</th>\n",
       "      <th>Default</th>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "      <td>1047</td>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "      <td>1010</td>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "      <td>1098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>4423</td>\n",
       "      <td>4423</td>\n",
       "      <td>4423</td>\n",
       "      <td>4322</td>\n",
       "      <td>4423</td>\n",
       "      <td>4423</td>\n",
       "      <td>4004</td>\n",
       "      <td>4423</td>\n",
       "      <td>4423</td>\n",
       "      <td>4423</td>\n",
       "      <td>4418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">VENTURE</th>\n",
       "      <th>Default</th>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "      <td>814</td>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "      <td>763</td>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "      <td>847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>4872</td>\n",
       "      <td>4872</td>\n",
       "      <td>4872</td>\n",
       "      <td>4742</td>\n",
       "      <td>4872</td>\n",
       "      <td>4872</td>\n",
       "      <td>4390</td>\n",
       "      <td>4872</td>\n",
       "      <td>4872</td>\n",
       "      <td>4872</td>\n",
       "      <td>4870</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               person_age  person_income  \\\n",
       "loan_intent       loan_status                              \n",
       "DEBTCONSOLIDATION Default            1490           1490   \n",
       "                  No Default         3722           3722   \n",
       "EDUCATION         Default            1111           1111   \n",
       "                  No Default         5342           5342   \n",
       "HOMEIMPROVEMENT   Default             941            941   \n",
       "                  No Default         2664           2664   \n",
       "MEDICAL           Default            1621           1621   \n",
       "                  No Default         4450           4450   \n",
       "PERSONAL          Default            1098           1098   \n",
       "                  No Default         4423           4423   \n",
       "VENTURE           Default             847            847   \n",
       "                  No Default         4872           4872   \n",
       "\n",
       "                               person_home_ownership  person_emp_length  \\\n",
       "loan_intent       loan_status                                             \n",
       "DEBTCONSOLIDATION Default                       1490               1437   \n",
       "                  No Default                    3722               3627   \n",
       "EDUCATION         Default                       1111               1066   \n",
       "                  No Default                    5342               5224   \n",
       "HOMEIMPROVEMENT   Default                        941                897   \n",
       "                  No Default                    2664               2613   \n",
       "MEDICAL           Default                       1621               1565   \n",
       "                  No Default                    4450               4332   \n",
       "PERSONAL          Default                       1098               1047   \n",
       "                  No Default                    4423               4322   \n",
       "VENTURE           Default                        847                814   \n",
       "                  No Default                    4872               4742   \n",
       "\n",
       "                               loan_grade  loan_amnt  loan_int_rate  \\\n",
       "loan_intent       loan_status                                         \n",
       "DEBTCONSOLIDATION Default            1490       1490           1346   \n",
       "                  No Default         3722       3722           3357   \n",
       "EDUCATION         Default            1111       1111           1011   \n",
       "                  No Default         5342       5342           4843   \n",
       "HOMEIMPROVEMENT   Default             941        941            863   \n",
       "                  No Default         2664       2664           2427   \n",
       "MEDICAL           Default            1621       1621           1471   \n",
       "                  No Default         4450       4450           3980   \n",
       "PERSONAL          Default            1098       1098           1010   \n",
       "                  No Default         4423       4423           4004   \n",
       "VENTURE           Default             847        847            763   \n",
       "                  No Default         4872       4872           4390   \n",
       "\n",
       "                               loan_percent_income  cb_person_default_on_file  \\\n",
       "loan_intent       loan_status                                                   \n",
       "DEBTCONSOLIDATION Default                     1490                       1490   \n",
       "                  No Default                  3722                       3722   \n",
       "EDUCATION         Default                     1111                       1111   \n",
       "                  No Default                  5342                       5342   \n",
       "HOMEIMPROVEMENT   Default                      941                        941   \n",
       "                  No Default                  2664                       2664   \n",
       "MEDICAL           Default                     1621                       1621   \n",
       "                  No Default                  4450                       4450   \n",
       "PERSONAL          Default                     1098                       1098   \n",
       "                  No Default                  4423                       4423   \n",
       "VENTURE           Default                      847                        847   \n",
       "                  No Default                  4872                       4872   \n",
       "\n",
       "                               cb_person_cred_hist_length  Age Group  \n",
       "loan_intent       loan_status                                         \n",
       "DEBTCONSOLIDATION Default                            1490       1489  \n",
       "                  No Default                         3722       3722  \n",
       "EDUCATION         Default                            1111       1111  \n",
       "                  No Default                         5342       5340  \n",
       "HOMEIMPROVEMENT   Default                             941        941  \n",
       "                  No Default                         2664       2664  \n",
       "MEDICAL           Default                            1621       1620  \n",
       "                  No Default                         4450       4441  \n",
       "PERSONAL          Default                            1098       1098  \n",
       "                  No Default                         4423       4418  \n",
       "VENTURE           Default                             847        847  \n",
       "                  No Default                         4872       4870  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loan_status_type = pd.DataFrame(credit_df.groupby(['loan_intent','loan_status']).count())\n",
    "loan_status_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='loan_grade'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (6, 4)\n",
    "fig, ax = plt.subplots(figsize=fig_dims)\n",
    "sns.countplot(y = \"loan_grade\", hue='loan_status', ax=ax, data=credit_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">A</th>\n",
       "      <th>Default</th>\n",
       "      <td>1073</td>\n",
       "      <td>1073</td>\n",
       "      <td>1073</td>\n",
       "      <td>991</td>\n",
       "      <td>1073</td>\n",
       "      <td>1073</td>\n",
       "      <td>977</td>\n",
       "      <td>1073</td>\n",
       "      <td>1073</td>\n",
       "      <td>1073</td>\n",
       "      <td>1072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>9704</td>\n",
       "      <td>9704</td>\n",
       "      <td>9704</td>\n",
       "      <td>9380</td>\n",
       "      <td>9704</td>\n",
       "      <td>9704</td>\n",
       "      <td>8797</td>\n",
       "      <td>9704</td>\n",
       "      <td>9704</td>\n",
       "      <td>9704</td>\n",
       "      <td>9698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">B</th>\n",
       "      <th>Default</th>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "      <td>1622</td>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "      <td>1528</td>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "      <td>1701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>8750</td>\n",
       "      <td>8750</td>\n",
       "      <td>8750</td>\n",
       "      <td>8564</td>\n",
       "      <td>8750</td>\n",
       "      <td>8750</td>\n",
       "      <td>7867</td>\n",
       "      <td>8750</td>\n",
       "      <td>8750</td>\n",
       "      <td>8750</td>\n",
       "      <td>8743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">C</th>\n",
       "      <th>Default</th>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "      <td>1283</td>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "      <td>1209</td>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "      <td>1339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>5119</td>\n",
       "      <td>5119</td>\n",
       "      <td>5119</td>\n",
       "      <td>5038</td>\n",
       "      <td>5119</td>\n",
       "      <td>5119</td>\n",
       "      <td>4619</td>\n",
       "      <td>5119</td>\n",
       "      <td>5119</td>\n",
       "      <td>5119</td>\n",
       "      <td>5114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">D</th>\n",
       "      <th>Default</th>\n",
       "      <td>2141</td>\n",
       "      <td>2141</td>\n",
       "      <td>2141</td>\n",
       "      <td>2090</td>\n",
       "      <td>2141</td>\n",
       "      <td>2141</td>\n",
       "      <td>1971</td>\n",
       "      <td>2141</td>\n",
       "      <td>2141</td>\n",
       "      <td>2141</td>\n",
       "      <td>2140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "      <td>1466</td>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "      <td>1343</td>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "      <td>1485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">E</th>\n",
       "      <th>Default</th>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "      <td>611</td>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "      <td>571</td>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "      <td>621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "      <td>341</td>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "      <td>310</td>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "      <td>343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">F</th>\n",
       "      <th>Default</th>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>166</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>150</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>70</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>64</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">G</th>\n",
       "      <th>Default</th>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>58</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        person_age  person_income  person_home_ownership  \\\n",
       "loan_grade loan_status                                                     \n",
       "A          Default            1073           1073                   1073   \n",
       "           No Default         9704           9704                   9704   \n",
       "B          Default            1701           1701                   1701   \n",
       "           No Default         8750           8750                   8750   \n",
       "C          Default            1339           1339                   1339   \n",
       "           No Default         5119           5119                   5119   \n",
       "D          Default            2141           2141                   2141   \n",
       "           No Default         1485           1485                   1485   \n",
       "E          Default             621            621                    621   \n",
       "           No Default          343            343                    343   \n",
       "F          Default             170            170                    170   \n",
       "           No Default           71             71                     71   \n",
       "G          Default              63             63                     63   \n",
       "           No Default            1              1                      1   \n",
       "\n",
       "                        person_emp_length  loan_intent  loan_amnt  \\\n",
       "loan_grade loan_status                                              \n",
       "A          Default                    991         1073       1073   \n",
       "           No Default                9380         9704       9704   \n",
       "B          Default                   1622         1701       1701   \n",
       "           No Default                8564         8750       8750   \n",
       "C          Default                   1283         1339       1339   \n",
       "           No Default                5038         5119       5119   \n",
       "D          Default                   2090         2141       2141   \n",
       "           No Default                1466         1485       1485   \n",
       "E          Default                    611          621        621   \n",
       "           No Default                 341          343        343   \n",
       "F          Default                    166          170        170   \n",
       "           No Default                  70           71         71   \n",
       "G          Default                     63           63         63   \n",
       "           No Default                   1            1          1   \n",
       "\n",
       "                        loan_int_rate  loan_percent_income  \\\n",
       "loan_grade loan_status                                       \n",
       "A          Default                977                 1073   \n",
       "           No Default            8797                 9704   \n",
       "B          Default               1528                 1701   \n",
       "           No Default            7867                 8750   \n",
       "C          Default               1209                 1339   \n",
       "           No Default            4619                 5119   \n",
       "D          Default               1971                 2141   \n",
       "           No Default            1343                 1485   \n",
       "E          Default                571                  621   \n",
       "           No Default             310                  343   \n",
       "F          Default                150                  170   \n",
       "           No Default              64                   71   \n",
       "G          Default                 58                   63   \n",
       "           No Default               1                    1   \n",
       "\n",
       "                        cb_person_default_on_file  cb_person_cred_hist_length  \\\n",
       "loan_grade loan_status                                                          \n",
       "A          Default                           1073                        1073   \n",
       "           No Default                        9704                        9704   \n",
       "B          Default                           1701                        1701   \n",
       "           No Default                        8750                        8750   \n",
       "C          Default                           1339                        1339   \n",
       "           No Default                        5119                        5119   \n",
       "D          Default                           2141                        2141   \n",
       "           No Default                        1485                        1485   \n",
       "E          Default                            621                         621   \n",
       "           No Default                         343                         343   \n",
       "F          Default                            170                         170   \n",
       "           No Default                          71                          71   \n",
       "G          Default                             63                          63   \n",
       "           No Default                           1                           1   \n",
       "\n",
       "                        Age Group  \n",
       "loan_grade loan_status             \n",
       "A          Default           1072  \n",
       "           No Default        9698  \n",
       "B          Default           1701  \n",
       "           No Default        8743  \n",
       "C          Default           1339  \n",
       "           No Default        5114  \n",
       "D          Default           2140  \n",
       "           No Default        1485  \n",
       "E          Default            621  \n",
       "           No Default         343  \n",
       "F          Default            170  \n",
       "           No Default          71  \n",
       "G          Default             63  \n",
       "           No Default           1  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loan_status_grade = pd.DataFrame(credit_df.groupby(['loan_grade','loan_status']).count())\n",
    "loan_status_grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='cb_person_default_on_file'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (6, 4)\n",
    "fig, ax = plt.subplots(figsize=fig_dims)\n",
    "sns.countplot(y = \"cb_person_default_on_file\", hue='loan_status', ax=ax, data=credit_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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></th>\n",
       "      <th>person_age</th>\n",
       "      <th>person_income</th>\n",
       "      <th>person_home_ownership</th>\n",
       "      <th>person_emp_length</th>\n",
       "      <th>loan_intent</th>\n",
       "      <th>loan_grade</th>\n",
       "      <th>loan_amnt</th>\n",
       "      <th>loan_int_rate</th>\n",
       "      <th>loan_percent_income</th>\n",
       "      <th>cb_person_cred_hist_length</th>\n",
       "      <th>Age Group</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cb_person_default_on_file</th>\n",
       "      <th>loan_status</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">N</th>\n",
       "      <th>Default</th>\n",
       "      <td>4936</td>\n",
       "      <td>4936</td>\n",
       "      <td>4936</td>\n",
       "      <td>4711</td>\n",
       "      <td>4936</td>\n",
       "      <td>4936</td>\n",
       "      <td>4936</td>\n",
       "      <td>4482</td>\n",
       "      <td>4936</td>\n",
       "      <td>4936</td>\n",
       "      <td>4935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>21900</td>\n",
       "      <td>21900</td>\n",
       "      <td>21900</td>\n",
       "      <td>21346</td>\n",
       "      <td>21900</td>\n",
       "      <td>21900</td>\n",
       "      <td>21900</td>\n",
       "      <td>19770</td>\n",
       "      <td>21900</td>\n",
       "      <td>21900</td>\n",
       "      <td>21883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Y</th>\n",
       "      <th>Default</th>\n",
       "      <td>2172</td>\n",
       "      <td>2172</td>\n",
       "      <td>2172</td>\n",
       "      <td>2115</td>\n",
       "      <td>2172</td>\n",
       "      <td>2172</td>\n",
       "      <td>2172</td>\n",
       "      <td>1982</td>\n",
       "      <td>2172</td>\n",
       "      <td>2172</td>\n",
       "      <td>2171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Default</th>\n",
       "      <td>3573</td>\n",
       "      <td>3573</td>\n",
       "      <td>3573</td>\n",
       "      <td>3514</td>\n",
       "      <td>3573</td>\n",
       "      <td>3573</td>\n",
       "      <td>3573</td>\n",
       "      <td>3231</td>\n",
       "      <td>3573</td>\n",
       "      <td>3573</td>\n",
       "      <td>3572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       person_age  person_income  \\\n",
       "cb_person_default_on_file loan_status                              \n",
       "N                         Default            4936           4936   \n",
       "                          No Default        21900          21900   \n",
       "Y                         Default            2172           2172   \n",
       "                          No Default         3573           3573   \n",
       "\n",
       "                                       person_home_ownership  \\\n",
       "cb_person_default_on_file loan_status                          \n",
       "N                         Default                       4936   \n",
       "                          No Default                   21900   \n",
       "Y                         Default                       2172   \n",
       "                          No Default                    3573   \n",
       "\n",
       "                                       person_emp_length  loan_intent  \\\n",
       "cb_person_default_on_file loan_status                                   \n",
       "N                         Default                   4711         4936   \n",
       "                          No Default               21346        21900   \n",
       "Y                         Default                   2115         2172   \n",
       "                          No Default                3514         3573   \n",
       "\n",
       "                                       loan_grade  loan_amnt  loan_int_rate  \\\n",
       "cb_person_default_on_file loan_status                                         \n",
       "N                         Default            4936       4936           4482   \n",
       "                          No Default        21900      21900          19770   \n",
       "Y                         Default            2172       2172           1982   \n",
       "                          No Default         3573       3573           3231   \n",
       "\n",
       "                                       loan_percent_income  \\\n",
       "cb_person_default_on_file loan_status                        \n",
       "N                         Default                     4936   \n",
       "                          No Default                 21900   \n",
       "Y                         Default                     2172   \n",
       "                          No Default                  3573   \n",
       "\n",
       "                                       cb_person_cred_hist_length  Age Group  \n",
       "cb_person_default_on_file loan_status                                         \n",
       "N                         Default                            4936       4935  \n",
       "                          No Default                        21900      21883  \n",
       "Y                         Default                            2172       2171  \n",
       "                          No Default                         3573       3572  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loan_status_prev_default = pd.DataFrame(credit_df.groupby(['cb_person_default_on_file','loan_status']).count())\n",
    "loan_status_prev_default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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