Loan_Default_Challenge.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Loan Default Challenge.ipynb",
      "version": "0.3.2",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "3t3mHH-Qf9eE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train = 'https://www.dropbox.com/s/suv8xh00rmw01ef/train.csv?dl=1'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R7itelF0gGKe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sc287i20gIIK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv(train)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EFG6yZV2gLCr",
        "colab_type": "code",
        "outputId": "8c3dbe5c-6f65-48a7-f2d6-21afb97e3ebf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        }
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>UniqueID</th>\n",
              "      <th>disbursed_amount</th>\n",
              "      <th>asset_cost</th>\n",
              "      <th>ltv</th>\n",
              "      <th>branch_id</th>\n",
              "      <th>supplier_id</th>\n",
              "      <th>manufacturer_id</th>\n",
              "      <th>Current_pincode_ID</th>\n",
              "      <th>Date.of.Birth</th>\n",
              "      <th>Employment.Type</th>\n",
              "      <th>DisbursalDate</th>\n",
              "      <th>State_ID</th>\n",
              "      <th>Employee_code_ID</th>\n",
              "      <th>MobileNo_Avl_Flag</th>\n",
              "      <th>Aadhar_flag</th>\n",
              "      <th>PAN_flag</th>\n",
              "      <th>VoterID_flag</th>\n",
              "      <th>Driving_flag</th>\n",
              "      <th>Passport_flag</th>\n",
              "      <th>PERFORM_CNS.SCORE</th>\n",
              "      <th>PERFORM_CNS.SCORE.DESCRIPTION</th>\n",
              "      <th>PRI.NO.OF.ACCTS</th>\n",
              "      <th>PRI.ACTIVE.ACCTS</th>\n",
              "      <th>PRI.OVERDUE.ACCTS</th>\n",
              "      <th>PRI.CURRENT.BALANCE</th>\n",
              "      <th>PRI.SANCTIONED.AMOUNT</th>\n",
              "      <th>PRI.DISBURSED.AMOUNT</th>\n",
              "      <th>SEC.NO.OF.ACCTS</th>\n",
              "      <th>SEC.ACTIVE.ACCTS</th>\n",
              "      <th>SEC.OVERDUE.ACCTS</th>\n",
              "      <th>SEC.CURRENT.BALANCE</th>\n",
              "      <th>SEC.SANCTIONED.AMOUNT</th>\n",
              "      <th>SEC.DISBURSED.AMOUNT</th>\n",
              "      <th>PRIMARY.INSTAL.AMT</th>\n",
              "      <th>SEC.INSTAL.AMT</th>\n",
              "      <th>NEW.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <th>DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <th>AVERAGE.ACCT.AGE</th>\n",
              "      <th>CREDIT.HISTORY.LENGTH</th>\n",
              "      <th>NO.OF_INQUIRIES</th>\n",
              "      <th>loan_default</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>420825</td>\n",
              "      <td>50578</td>\n",
              "      <td>58400</td>\n",
              "      <td>89.55</td>\n",
              "      <td>67</td>\n",
              "      <td>22807</td>\n",
              "      <td>45</td>\n",
              "      <td>1441</td>\n",
              "      <td>01-01-84</td>\n",
              "      <td>Salaried</td>\n",
              "      <td>03-08-18</td>\n",
              "      <td>6</td>\n",
              "      <td>1998</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>537409</td>\n",
              "      <td>47145</td>\n",
              "      <td>65550</td>\n",
              "      <td>73.23</td>\n",
              "      <td>67</td>\n",
              "      <td>22807</td>\n",
              "      <td>45</td>\n",
              "      <td>1502</td>\n",
              "      <td>31-07-85</td>\n",
              "      <td>Self employed</td>\n",
              "      <td>26-09-18</td>\n",
              "      <td>6</td>\n",
              "      <td>1998</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>598</td>\n",
              "      <td>I-Medium Risk</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>27600</td>\n",
              "      <td>50200</td>\n",
              "      <td>50200</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1yrs 11mon</td>\n",
              "      <td>1yrs 11mon</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
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              "      <td>417566</td>\n",
              "      <td>53278</td>\n",
              "      <td>61360</td>\n",
              "      <td>89.63</td>\n",
              "      <td>67</td>\n",
              "      <td>22807</td>\n",
              "      <td>45</td>\n",
              "      <td>1497</td>\n",
              "      <td>24-08-85</td>\n",
              "      <td>Self employed</td>\n",
              "      <td>01-08-18</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0yrs 0mon</td>\n",
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              "      <td>0</td>\n",
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              "      <th>3</th>\n",
              "      <td>624493</td>\n",
              "      <td>57513</td>\n",
              "      <td>66113</td>\n",
              "      <td>88.48</td>\n",
              "      <td>67</td>\n",
              "      <td>22807</td>\n",
              "      <td>45</td>\n",
              "      <td>1501</td>\n",
              "      <td>30-12-93</td>\n",
              "      <td>Self employed</td>\n",
              "      <td>26-10-18</td>\n",
              "      <td>6</td>\n",
              "      <td>1998</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>305</td>\n",
              "      <td>L-Very High Risk</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 8mon</td>\n",
              "      <td>1yrs 3mon</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>539055</td>\n",
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              "      <td>88.39</td>\n",
              "      <td>67</td>\n",
              "      <td>22807</td>\n",
              "      <td>45</td>\n",
              "      <td>1495</td>\n",
              "      <td>09-12-77</td>\n",
              "      <td>Self employed</td>\n",
              "      <td>26-09-18</td>\n",
              "      <td>6</td>\n",
              "      <td>1998</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0yrs 0mon</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "   UniqueID  disbursed_amount  ...  NO.OF_INQUIRIES  loan_default\n",
              "0    420825             50578  ...                0             0\n",
              "1    537409             47145  ...                0             1\n",
              "2    417566             53278  ...                0             0\n",
              "3    624493             57513  ...                1             1\n",
              "4    539055             52378  ...                1             1\n",
              "\n",
              "[5 rows x 41 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pm0tB26ikEqb",
        "colab_type": "text"
      },
      "source": [
        "https://medium.com/@swethalakshmanan14/exploratory-data-analysis-in-python-ebdf643a33f6\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rx2cTu23kNBL",
        "colab_type": "text"
      },
      "source": [
        "https://datahack.analyticsvidhya.com/contest/ltfs-datascience-finhack-an-online-hackathon/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P8ZnhMkCkRYr",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "\n",
        "https://github.com/Swetha14/LTFS---Loan-Default-Challenge"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E1ESpqzhkQdk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "4b887787-98e2-4033-98b3-cba8469f76d9"
      },
      "source": [
        "df.describe(include='all').T\n"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <td>11.4566</td>\n",
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              "      <td>76.8</td>\n",
              "      <td>83.67</td>\n",
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              "      <td>261</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19638.6</td>\n",
              "      <td>3491.95</td>\n",
              "      <td>10524</td>\n",
              "      <td>16535</td>\n",
              "      <td>20333</td>\n",
              "      <td>23000</td>\n",
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              "      <th>manufacturer_id</th>\n",
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              "      <td>86</td>\n",
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              "      <th>Current_pincode_ID</th>\n",
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              "    <tr>\n",
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              "      <td>2173</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>Employment.Type</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>31-10-18</td>\n",
              "      <td>8826</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>State_ID</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.26224</td>\n",
              "      <td>4.48223</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>10</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Employee_code_ID</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1549.48</td>\n",
              "      <td>975.261</td>\n",
              "      <td>1</td>\n",
              "      <td>713</td>\n",
              "      <td>1451</td>\n",
              "      <td>2362</td>\n",
              "      <td>3795</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MobileNo_Avl_Flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aadhar_flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.84032</td>\n",
              "      <td>0.36631</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAN_flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0755767</td>\n",
              "      <td>0.26432</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VoterID_flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.144943</td>\n",
              "      <td>0.352044</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Driving_flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0232421</td>\n",
              "      <td>0.150672</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Passport_flag</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00212735</td>\n",
              "      <td>0.0460742</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PERFORM_CNS.SCORE</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>289.463</td>\n",
              "      <td>338.375</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>678</td>\n",
              "      <td>890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PERFORM_CNS.SCORE.DESCRIPTION</th>\n",
              "      <td>233154</td>\n",
              "      <td>20</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>116950</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.NO.OF.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.44064</td>\n",
              "      <td>5.21723</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>453</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.ACTIVE.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0399</td>\n",
              "      <td>1.9415</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>144</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.OVERDUE.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.156549</td>\n",
              "      <td>0.548787</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.CURRENT.BALANCE</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>165900</td>\n",
              "      <td>942274</td>\n",
              "      <td>-6.6783e+06</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35006.5</td>\n",
              "      <td>9.65249e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.SANCTIONED.AMOUNT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>218504</td>\n",
              "      <td>2.37479e+06</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>62500</td>\n",
              "      <td>1e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRI.DISBURSED.AMOUNT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>218066</td>\n",
              "      <td>2.37774e+06</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>60800</td>\n",
              "      <td>1e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.NO.OF.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0590811</td>\n",
              "      <td>0.626795</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.ACTIVE.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0277027</td>\n",
              "      <td>0.316057</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.OVERDUE.ACCTS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00724414</td>\n",
              "      <td>0.111079</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.CURRENT.BALANCE</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5427.79</td>\n",
              "      <td>170237</td>\n",
              "      <td>-574647</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3.60329e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.SANCTIONED.AMOUNT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7295.92</td>\n",
              "      <td>183156</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.DISBURSED.AMOUNT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7180</td>\n",
              "      <td>182593</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRIMARY.INSTAL.AMT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13105.5</td>\n",
              "      <td>151368</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1999</td>\n",
              "      <td>2.56428e+07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEC.INSTAL.AMT</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>323.268</td>\n",
              "      <td>15553.7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4.1709e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NEW.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.381833</td>\n",
              "      <td>0.955107</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0974806</td>\n",
              "      <td>0.384439</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AVERAGE.ACCT.AGE</th>\n",
              "      <td>233154</td>\n",
              "      <td>192</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>119373</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CREDIT.HISTORY.LENGTH</th>\n",
              "      <td>233154</td>\n",
              "      <td>294</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>119127</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NO.OF_INQUIRIES</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.206615</td>\n",
              "      <td>0.706498</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>loan_default</th>\n",
              "      <td>233154</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.217071</td>\n",
              "      <td>0.412252</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                      count unique  ...      75%          max\n",
              "UniqueID                             233154    NaN  ...   595040       671084\n",
              "disbursed_amount                     233154    NaN  ...    60413       990572\n",
              "asset_cost                           233154    NaN  ...  79201.8  1.62899e+06\n",
              "ltv                                  233154    NaN  ...    83.67           95\n",
              "branch_id                            233154    NaN  ...      130          261\n",
              "supplier_id                          233154    NaN  ...    23000        24803\n",
              "manufacturer_id                      233154    NaN  ...       86          156\n",
              "Current_pincode_ID                   233154    NaN  ...     5677         7345\n",
              "Date.of.Birth                        233154  15433  ...      NaN          NaN\n",
              "Employment.Type                      225493      2  ...      NaN          NaN\n",
              "DisbursalDate                        233154     84  ...      NaN          NaN\n",
              "State_ID                             233154    NaN  ...       10           22\n",
              "Employee_code_ID                     233154    NaN  ...     2362         3795\n",
              "MobileNo_Avl_Flag                    233154    NaN  ...        1            1\n",
              "Aadhar_flag                          233154    NaN  ...        1            1\n",
              "PAN_flag                             233154    NaN  ...        0            1\n",
              "VoterID_flag                         233154    NaN  ...        0            1\n",
              "Driving_flag                         233154    NaN  ...        0            1\n",
              "Passport_flag                        233154    NaN  ...        0            1\n",
              "PERFORM_CNS.SCORE                    233154    NaN  ...      678          890\n",
              "PERFORM_CNS.SCORE.DESCRIPTION        233154     20  ...      NaN          NaN\n",
              "PRI.NO.OF.ACCTS                      233154    NaN  ...        3          453\n",
              "PRI.ACTIVE.ACCTS                     233154    NaN  ...        1          144\n",
              "PRI.OVERDUE.ACCTS                    233154    NaN  ...        0           25\n",
              "PRI.CURRENT.BALANCE                  233154    NaN  ...  35006.5  9.65249e+07\n",
              "PRI.SANCTIONED.AMOUNT                233154    NaN  ...    62500        1e+09\n",
              "PRI.DISBURSED.AMOUNT                 233154    NaN  ...    60800        1e+09\n",
              "SEC.NO.OF.ACCTS                      233154    NaN  ...        0           52\n",
              "SEC.ACTIVE.ACCTS                     233154    NaN  ...        0           36\n",
              "SEC.OVERDUE.ACCTS                    233154    NaN  ...        0            8\n",
              "SEC.CURRENT.BALANCE                  233154    NaN  ...        0  3.60329e+07\n",
              "SEC.SANCTIONED.AMOUNT                233154    NaN  ...        0        3e+07\n",
              "SEC.DISBURSED.AMOUNT                 233154    NaN  ...        0        3e+07\n",
              "PRIMARY.INSTAL.AMT                   233154    NaN  ...     1999  2.56428e+07\n",
              "SEC.INSTAL.AMT                       233154    NaN  ...        0   4.1709e+06\n",
              "NEW.ACCTS.IN.LAST.SIX.MONTHS         233154    NaN  ...        0           35\n",
              "DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS  233154    NaN  ...        0           20\n",
              "AVERAGE.ACCT.AGE                     233154    192  ...      NaN          NaN\n",
              "CREDIT.HISTORY.LENGTH                233154    294  ...      NaN          NaN\n",
              "NO.OF_INQUIRIES                      233154    NaN  ...        0           36\n",
              "loan_default                         233154    NaN  ...        0            1\n",
              "\n",
              "[41 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XwPd00-sbc-l",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 799
        },
        "outputId": "77171885-627c-418a-bc19-43bcbb61f3b0"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 233154 entries, 0 to 233153\n",
            "Data columns (total 41 columns):\n",
            "UniqueID                               233154 non-null int64\n",
            "disbursed_amount                       233154 non-null int64\n",
            "asset_cost                             233154 non-null int64\n",
            "ltv                                    233154 non-null float64\n",
            "branch_id                              233154 non-null int64\n",
            "supplier_id                            233154 non-null int64\n",
            "manufacturer_id                        233154 non-null int64\n",
            "Current_pincode_ID                     233154 non-null int64\n",
            "Date.of.Birth                          233154 non-null object\n",
            "Employment.Type                        225493 non-null object\n",
            "DisbursalDate                          233154 non-null object\n",
            "State_ID                               233154 non-null int64\n",
            "Employee_code_ID                       233154 non-null int64\n",
            "MobileNo_Avl_Flag                      233154 non-null int64\n",
            "Aadhar_flag                            233154 non-null int64\n",
            "PAN_flag                               233154 non-null int64\n",
            "VoterID_flag                           233154 non-null int64\n",
            "Driving_flag                           233154 non-null int64\n",
            "Passport_flag                          233154 non-null int64\n",
            "PERFORM_CNS.SCORE                      233154 non-null int64\n",
            "PERFORM_CNS.SCORE.DESCRIPTION          233154 non-null object\n",
            "PRI.NO.OF.ACCTS                        233154 non-null int64\n",
            "PRI.ACTIVE.ACCTS                       233154 non-null int64\n",
            "PRI.OVERDUE.ACCTS                      233154 non-null int64\n",
            "PRI.CURRENT.BALANCE                    233154 non-null int64\n",
            "PRI.SANCTIONED.AMOUNT                  233154 non-null int64\n",
            "PRI.DISBURSED.AMOUNT                   233154 non-null int64\n",
            "SEC.NO.OF.ACCTS                        233154 non-null int64\n",
            "SEC.ACTIVE.ACCTS                       233154 non-null int64\n",
            "SEC.OVERDUE.ACCTS                      233154 non-null int64\n",
            "SEC.CURRENT.BALANCE                    233154 non-null int64\n",
            "SEC.SANCTIONED.AMOUNT                  233154 non-null int64\n",
            "SEC.DISBURSED.AMOUNT                   233154 non-null int64\n",
            "PRIMARY.INSTAL.AMT                     233154 non-null int64\n",
            "SEC.INSTAL.AMT                         233154 non-null int64\n",
            "NEW.ACCTS.IN.LAST.SIX.MONTHS           233154 non-null int64\n",
            "DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS    233154 non-null int64\n",
            "AVERAGE.ACCT.AGE                       233154 non-null object\n",
            "CREDIT.HISTORY.LENGTH                  233154 non-null object\n",
            "NO.OF_INQUIRIES                        233154 non-null int64\n",
            "loan_default                           233154 non-null int64\n",
            "dtypes: float64(1), int64(34), object(6)\n",
            "memory usage: 72.9+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6A5ytrk2bqCF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "outputId": "45f894a3-c813-4b44-d9e9-1a3cfa168f8d"
      },
      "source": [
        "df.columns"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['UniqueID', 'disbursed_amount', 'asset_cost', 'ltv', 'branch_id',\n",
              "       'supplier_id', 'manufacturer_id', 'Current_pincode_ID', 'Date.of.Birth',\n",
              "       'Employment.Type', 'DisbursalDate', 'State_ID', 'Employee_code_ID',\n",
              "       'MobileNo_Avl_Flag', 'Aadhar_flag', 'PAN_flag', 'VoterID_flag',\n",
              "       'Driving_flag', 'Passport_flag', 'PERFORM_CNS.SCORE',\n",
              "       'PERFORM_CNS.SCORE.DESCRIPTION', 'PRI.NO.OF.ACCTS', 'PRI.ACTIVE.ACCTS',\n",
              "       'PRI.OVERDUE.ACCTS', 'PRI.CURRENT.BALANCE', 'PRI.SANCTIONED.AMOUNT',\n",
              "       'PRI.DISBURSED.AMOUNT', 'SEC.NO.OF.ACCTS', 'SEC.ACTIVE.ACCTS',\n",
              "       'SEC.OVERDUE.ACCTS', 'SEC.CURRENT.BALANCE', 'SEC.SANCTIONED.AMOUNT',\n",
              "       'SEC.DISBURSED.AMOUNT', 'PRIMARY.INSTAL.AMT', 'SEC.INSTAL.AMT',\n",
              "       'NEW.ACCTS.IN.LAST.SIX.MONTHS', 'DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS',\n",
              "       'AVERAGE.ACCT.AGE', 'CREDIT.HISTORY.LENGTH', 'NO.OF_INQUIRIES',\n",
              "       'loan_default'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1Erd3BMAb8QS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "4c9e021e-0525-4412-a18e-ab9cfac24f23"
      },
      "source": [
        "df.tail()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>UniqueID</th>\n",
              "      <th>disbursed_amount</th>\n",
              "      <th>asset_cost</th>\n",
              "      <th>ltv</th>\n",
              "      <th>branch_id</th>\n",
              "      <th>supplier_id</th>\n",
              "      <th>manufacturer_id</th>\n",
              "      <th>Current_pincode_ID</th>\n",
              "      <th>Date.of.Birth</th>\n",
              "      <th>Employment.Type</th>\n",
              "      <th>DisbursalDate</th>\n",
              "      <th>State_ID</th>\n",
              "      <th>Employee_code_ID</th>\n",
              "      <th>MobileNo_Avl_Flag</th>\n",
              "      <th>Aadhar_flag</th>\n",
              "      <th>PAN_flag</th>\n",
              "      <th>VoterID_flag</th>\n",
              "      <th>Driving_flag</th>\n",
              "      <th>Passport_flag</th>\n",
              "      <th>PERFORM_CNS.SCORE</th>\n",
              "      <th>PERFORM_CNS.SCORE.DESCRIPTION</th>\n",
              "      <th>PRI.NO.OF.ACCTS</th>\n",
              "      <th>PRI.ACTIVE.ACCTS</th>\n",
              "      <th>PRI.OVERDUE.ACCTS</th>\n",
              "      <th>PRI.CURRENT.BALANCE</th>\n",
              "      <th>PRI.SANCTIONED.AMOUNT</th>\n",
              "      <th>PRI.DISBURSED.AMOUNT</th>\n",
              "      <th>SEC.NO.OF.ACCTS</th>\n",
              "      <th>SEC.ACTIVE.ACCTS</th>\n",
              "      <th>SEC.OVERDUE.ACCTS</th>\n",
              "      <th>SEC.CURRENT.BALANCE</th>\n",
              "      <th>SEC.SANCTIONED.AMOUNT</th>\n",
              "      <th>SEC.DISBURSED.AMOUNT</th>\n",
              "      <th>PRIMARY.INSTAL.AMT</th>\n",
              "      <th>SEC.INSTAL.AMT</th>\n",
              "      <th>NEW.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <th>DELINQUENT.ACCTS.IN.LAST.SIX.MONTHS</th>\n",
              "      <th>AVERAGE.ACCT.AGE</th>\n",
              "      <th>CREDIT.HISTORY.LENGTH</th>\n",
              "      <th>NO.OF_INQUIRIES</th>\n",
              "      <th>loan_default</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>233149</th>\n",
              "      <td>626432</td>\n",
              "      <td>63213</td>\n",
              "      <td>105405</td>\n",
              "      <td>60.72</td>\n",
              "      <td>34</td>\n",
              "      <td>20700</td>\n",
              "      <td>48</td>\n",
              "      <td>1050</td>\n",
              "      <td>01-08-88</td>\n",
              "      <td>Salaried</td>\n",
              "      <td>26-10-18</td>\n",
              "      <td>6</td>\n",
              "      <td>3705</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>735</td>\n",
              "      <td>D-Very Low Risk</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>390443</td>\n",
              "      <td>416133</td>\n",
              "      <td>416133</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4084</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1yrs 9mon</td>\n",
              "      <td>3yrs 3mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233150</th>\n",
              "      <td>606141</td>\n",
              "      <td>73651</td>\n",
              "      <td>100600</td>\n",
              "      <td>74.95</td>\n",
              "      <td>34</td>\n",
              "      <td>23775</td>\n",
              "      <td>51</td>\n",
              "      <td>990</td>\n",
              "      <td>05-12-88</td>\n",
              "      <td>Self employed</td>\n",
              "      <td>23-10-18</td>\n",
              "      <td>6</td>\n",
              "      <td>3705</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>825</td>\n",
              "      <td>A-Very Low Risk</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1565</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 6mon</td>\n",
              "      <td>0yrs 6mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233151</th>\n",
              "      <td>613658</td>\n",
              "      <td>33484</td>\n",
              "      <td>71212</td>\n",
              "      <td>48.45</td>\n",
              "      <td>77</td>\n",
              "      <td>22186</td>\n",
              "      <td>86</td>\n",
              "      <td>2299</td>\n",
              "      <td>01-06-76</td>\n",
              "      <td>Salaried</td>\n",
              "      <td>24-10-18</td>\n",
              "      <td>4</td>\n",
              "      <td>3479</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233152</th>\n",
              "      <td>548084</td>\n",
              "      <td>34259</td>\n",
              "      <td>73286</td>\n",
              "      <td>49.10</td>\n",
              "      <td>77</td>\n",
              "      <td>22186</td>\n",
              "      <td>86</td>\n",
              "      <td>2299</td>\n",
              "      <td>26-03-94</td>\n",
              "      <td>Salaried</td>\n",
              "      <td>29-09-18</td>\n",
              "      <td>4</td>\n",
              "      <td>3479</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233153</th>\n",
              "      <td>630213</td>\n",
              "      <td>75751</td>\n",
              "      <td>116009</td>\n",
              "      <td>66.81</td>\n",
              "      <td>77</td>\n",
              "      <td>22186</td>\n",
              "      <td>86</td>\n",
              "      <td>2299</td>\n",
              "      <td>18-02-84</td>\n",
              "      <td>Salaried</td>\n",
              "      <td>27-10-18</td>\n",
              "      <td>4</td>\n",
              "      <td>3479</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>No Bureau History Available</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0yrs 0mon</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        UniqueID  disbursed_amount  ...  NO.OF_INQUIRIES  loan_default\n",
              "233149    626432             63213  ...                0             0\n",
              "233150    606141             73651  ...                0             0\n",
              "233151    613658             33484  ...                0             0\n",
              "233152    548084             34259  ...                0             0\n",
              "233153    630213             75751  ...                0             0\n",
              "\n",
              "[5 rows x 41 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CB9riOsQcqb7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YMUEeFcFc82c",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "outputId": "797c8cb1-8dea-471f-f07e-dc14b7026623"
      },
      "source": [
        "df['Employment.Type'].value_counts().plot(kind='bar')"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5a9f2cc160>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jJSKXPS5dXDX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}