eda_credit_approval.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "eda_credit_approval.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMcZrqG0ZHDM3CZRBRBhjrj",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/martin-fabbri/colab-notebooks/blob/master/eda_credit_approval.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Cj8oDhuOxjLw"
      },
      "source": [
        "# EDA of Credit Approval Data "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m0mI3VtbxtvJ"
      },
      "source": [
        "## Goal\n",
        "\n",
        "To predict whether the customer will default on their credit card payment next month.\n",
        "\n",
        "This exploratory data analysis should assits to:\n",
        "1. Understand variable relations within the underlyind data.\n",
        "2. Identity data transformations required for modeling\n",
        "3. Identify any required data cleaning\n",
        "4. Generate research questions "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7nXA2uPgz1if"
      },
      "source": [
        "## Dataset\n",
        "\n",
        "> Yeh, I. C., & Lien, C. H. (2009). The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert Systems with Applications, 36(2), 2473-2480.\n",
        "https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "afhwzSXY0n5C"
      },
      "source": [
        "#@title ##Setup\n",
        "#@markdown Import data manipulation and plotting dependencies.\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from google.colab import data_table\n",
        "import seaborn as sns\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mSJ78R0M2Q27"
      },
      "source": [
        "\n",
        "Dataset columns:\n",
        "\n",
        "- LIMIT_BAL: credit card limit\n",
        "- SEX, EDUCATION, MARRIAGE, AGE: client demographic features\n",
        "- BILL_AMT[1-6]: amount on bill statement for April-September\n",
        "- PAY_AMT[1-6]: payment amount for April-September\n",
        "- default payment next month: target, whether the client defaulted the following month"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "4rWFPeg3xhcH",
        "outputId": "e9d0a57e-3953-4f76-a05b-9a1e56f43607"
      },
      "source": [
        "# Load the data\n",
        "data_url = \"http://archive.ics.uci.edu/ml/machine-learning-databases/00350/default%20of%20credit%20card%20clients.xls\"\n",
        "df = pd.read_excel(io=data_url, header=1).drop(columns=['ID']).rename(columns={'PAY_0':'PAY_1'})\n",
        "data_table.DataTable(df.sample(50), include_index=False, num_rows_per_page=5)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Warning: Total number of columns (24) exceeds max_columns (20) limiting to first max_columns \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 60000,\n            'f': \"60000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 4603,\n            'f': \"4603\",\n        },\n{\n            'v': 4186,\n            'f': \"4186\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1887,\n            'f': \"1887\",\n        },\n{\n            'v': 1543,\n            'f': \"1543\",\n        },\n{\n            'v': 3972,\n            'f': \"3972\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1887,\n            'f': \"1887\",\n        }],\n [{\n            'v': 50000,\n            'f': \"50000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 40,\n            'f': \"40\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 5538,\n            'f': \"5538\",\n        },\n{\n            'v': 6563,\n            'f': \"6563\",\n        },\n{\n            'v': 7422,\n            'f': \"7422\",\n        },\n{\n            'v': 8292,\n            'f': \"8292\",\n        },\n{\n            'v': 8465,\n            'f': \"8465\",\n        },\n{\n            'v': 8650,\n            'f': \"8650\",\n        },\n{\n            'v': 1271,\n            'f': \"1271\",\n        },\n{\n            'v': 1130,\n            'f': \"1130\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        }],\n [{\n            'v': 120000,\n            'f': \"120000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 28,\n            'f': \"28\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 50477,\n            'f': \"50477\",\n        },\n{\n            'v': 52632,\n            'f': \"52632\",\n        },\n{\n            'v': 55282,\n            'f': \"55282\",\n        },\n{\n            'v': 56878,\n            'f': \"56878\",\n        },\n{\n            'v': 57948,\n            'f': \"57948\",\n        },\n{\n            'v': 59179,\n            'f': \"59179\",\n        },\n{\n            'v': 3500,\n            'f': \"3500\",\n        },\n{\n            'v': 4000,\n            'f': \"4000\",\n        },\n{\n            'v': 3500,\n            'f': \"3500\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 27,\n            'f': \"27\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 1171,\n            'f': \"1171\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 680,\n            'f': \"680\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 680,\n            'f': \"680\",\n        }],\n [{\n            'v': 50000,\n            'f': \"50000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 55,\n            'f': \"55\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1344,\n            'f': \"1344\",\n        },\n{\n            'v': 780,\n            'f': \"780\",\n        },\n{\n            'v': 13032,\n            'f': \"13032\",\n        },\n{\n            'v': 14292,\n            'f': \"14292\",\n        },\n{\n            'v': 16698,\n            'f': \"16698\",\n        },\n{\n            'v': 15436,\n            'f': \"15436\",\n        },\n{\n            'v': 1200,\n            'f': \"1200\",\n        },\n{\n            'v': 13032,\n            'f': \"13032\",\n        },\n{\n            'v': 1500,\n            'f': \"1500\",\n        }],\n [{\n            'v': 360000,\n            'f': \"360000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 5751,\n            'f': \"5751\",\n        },\n{\n            'v': 1501,\n            'f': \"1501\",\n        },\n{\n            'v': 624,\n            'f': \"624\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        },\n{\n            'v': 1866,\n            'f': \"1866\",\n        },\n{\n            'v': 1501,\n            'f': \"1501\",\n        },\n{\n            'v': 624,\n            'f': \"624\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 90000,\n            'f': \"90000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 24,\n            'f': \"24\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 88550,\n            'f': \"88550\",\n        },\n{\n            'v': 78892,\n            'f': \"78892\",\n        },\n{\n            'v': 75808,\n            'f': \"75808\",\n        },\n{\n            'v': 63362,\n            'f': \"63362\",\n        },\n{\n            'v': 65300,\n            'f': \"65300\",\n        },\n{\n            'v': 67248,\n            'f': \"67248\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        },\n{\n            'v': 3500,\n            'f': \"3500\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        }],\n [{\n            'v': 390000,\n            'f': \"390000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 31,\n            'f': \"31\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 50620,\n            'f': \"50620\",\n        },\n{\n            'v': 43220,\n            'f': \"43220\",\n        },\n{\n            'v': 44237,\n            'f': \"44237\",\n        },\n{\n            'v': 46495,\n            'f': \"46495\",\n        },\n{\n            'v': 47751,\n            'f': \"47751\",\n        },\n{\n            'v': 51941,\n            'f': \"51941\",\n        },\n{\n            'v': 5000,\n            'f': \"5000\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        }],\n [{\n            'v': 400000,\n            'f': \"400000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 37,\n            'f': \"37\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 76917,\n            'f': \"76917\",\n        },\n{\n            'v': 79075,\n            'f': \"79075\",\n        },\n{\n            'v': 81864,\n            'f': \"81864\",\n        },\n{\n            'v': 83747,\n            'f': \"83747\",\n        },\n{\n            'v': 85487,\n            'f': \"85487\",\n        },\n{\n            'v': 88315,\n            'f': \"88315\",\n        },\n{\n            'v': 4000,\n            'f': \"4000\",\n        },\n{\n            'v': 4000,\n            'f': \"4000\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        }],\n [{\n            'v': 230000,\n            'f': \"230000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 24,\n            'f': \"24\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 69158,\n            'f': \"69158\",\n        },\n{\n            'v': 73712,\n            'f': \"73712\",\n        },\n{\n            'v': 68831,\n            'f': \"68831\",\n        },\n{\n            'v': 61534,\n            'f': \"61534\",\n        },\n{\n            'v': 25914,\n            'f': \"25914\",\n        },\n{\n            'v': 36313,\n            'f': \"36313\",\n        },\n{\n            'v': 8149,\n            'f': \"8149\",\n        },\n{\n            'v': 2214,\n            'f': \"2214\",\n        },\n{\n            'v': 5904,\n            'f': \"5904\",\n        }],\n [{\n            'v': 170000,\n            'f': \"170000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 42,\n            'f': \"42\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 142118,\n            'f': \"142118\",\n        },\n{\n            'v': 144803,\n            'f': \"144803\",\n        },\n{\n            'v': 133868,\n            'f': \"133868\",\n        },\n{\n            'v': 119956,\n            'f': \"119956\",\n        },\n{\n            'v': 121277,\n            'f': \"121277\",\n        },\n{\n            'v': 122926,\n            'f': \"122926\",\n        },\n{\n            'v': 7040,\n            'f': \"7040\",\n        },\n{\n            'v': 6165,\n            'f': \"6165\",\n        },\n{\n            'v': 5004,\n            'f': \"5004\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 36,\n            'f': \"36\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 8812,\n            'f': \"8812\",\n        },\n{\n            'v': 15189,\n            'f': \"15189\",\n        },\n{\n            'v': 6205,\n            'f': \"6205\",\n        },\n{\n            'v': 37658,\n            'f': \"37658\",\n        },\n{\n            'v': 696,\n            'f': \"696\",\n        },\n{\n            'v': 1430,\n            'f': \"1430\",\n        },\n{\n            'v': 15234,\n            'f': \"15234\",\n        },\n{\n            'v': 6225,\n            'f': \"6225\",\n        },\n{\n            'v': 38150,\n            'f': \"38150\",\n        }],\n [{\n            'v': 70000,\n            'f': \"70000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 37,\n            'f': \"37\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 66759,\n            'f': \"66759\",\n        },\n{\n            'v': 68200,\n            'f': \"68200\",\n        },\n{\n            'v': 72972,\n            'f': \"72972\",\n        },\n{\n            'v': 71248,\n            'f': \"71248\",\n        },\n{\n            'v': 50610,\n            'f': \"50610\",\n        },\n{\n            'v': 50809,\n            'f': \"50809\",\n        },\n{\n            'v': 2518,\n            'f': \"2518\",\n        },\n{\n            'v': 5950,\n            'f': \"5950\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 250000,\n            'f': \"250000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 32,\n            'f': \"32\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 207,\n            'f': \"207\",\n        },\n{\n            'v': 4907,\n            'f': \"4907\",\n        },\n{\n            'v': 6833,\n            'f': \"6833\",\n        },\n{\n            'v': 8766,\n            'f': \"8766\",\n        },\n{\n            'v': 9539,\n            'f': \"9539\",\n        },\n{\n            'v': 9779,\n            'f': \"9779\",\n        },\n{\n            'v': 4907,\n            'f': \"4907\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        }],\n [{\n            'v': 360000,\n            'f': \"360000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 27,\n            'f': \"27\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 1097,\n            'f': \"1097\",\n        },\n{\n            'v': 778,\n            'f': \"778\",\n        },\n{\n            'v': 2999,\n            'f': \"2999\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 780,\n            'f': \"780\",\n        },\n{\n            'v': 3021,\n            'f': \"3021\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 420000,\n            'f': \"420000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 31,\n            'f': \"31\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 31065,\n            'f': \"31065\",\n        },\n{\n            'v': 25918,\n            'f': \"25918\",\n        },\n{\n            'v': 20899,\n            'f': \"20899\",\n        },\n{\n            'v': 14966,\n            'f': \"14966\",\n        },\n{\n            'v': 5676,\n            'f': \"5676\",\n        },\n{\n            'v': 134038,\n            'f': \"134038\",\n        },\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        },\n{\n            'v': 1041,\n            'f': \"1041\",\n        }],\n [{\n            'v': 20000,\n            'f': \"20000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 47,\n            'f': \"47\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 19401,\n            'f': \"19401\",\n        },\n{\n            'v': 19670,\n            'f': \"19670\",\n        },\n{\n            'v': 19839,\n            'f': \"19839\",\n        },\n{\n            'v': 20236,\n            'f': \"20236\",\n        },\n{\n            'v': 19807,\n            'f': \"19807\",\n        },\n{\n            'v': 19843,\n            'f': \"19843\",\n        },\n{\n            'v': 1331,\n            'f': \"1331\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 688,\n            'f': \"688\",\n        }],\n [{\n            'v': 380000,\n            'f': \"380000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 41,\n            'f': \"41\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 415735,\n            'f': \"415735\",\n        },\n{\n            'v': 400246,\n            'f': \"400246\",\n        },\n{\n            'v': 384705,\n            'f': \"384705\",\n        },\n{\n            'v': 383332,\n            'f': \"383332\",\n        },\n{\n            'v': 381423,\n            'f': \"381423\",\n        },\n{\n            'v': 377466,\n            'f': \"377466\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 15135,\n            'f': \"15135\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 34,\n            'f': \"34\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 176642,\n            'f': \"176642\",\n        },\n{\n            'v': 180421,\n            'f': \"180421\",\n        },\n{\n            'v': 185722,\n            'f': \"185722\",\n        },\n{\n            'v': 196732,\n            'f': \"196732\",\n        },\n{\n            'v': 188930,\n            'f': \"188930\",\n        },\n{\n            'v': 192647,\n            'f': \"192647\",\n        },\n{\n            'v': 7000,\n            'f': \"7000\",\n        },\n{\n            'v': 8500,\n            'f': \"8500\",\n        },\n{\n            'v': 16000,\n            'f': \"16000\",\n        }],\n [{\n            'v': 90000,\n            'f': \"90000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 34,\n            'f': \"34\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 50281,\n            'f': \"50281\",\n        },\n{\n            'v': 14033,\n            'f': \"14033\",\n        },\n{\n            'v': 12628,\n            'f': \"12628\",\n        },\n{\n            'v': 20172,\n            'f': \"20172\",\n        },\n{\n            'v': 73512,\n            'f': \"73512\",\n        },\n{\n            'v': 72588,\n            'f': \"72588\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 20172,\n            'f': \"20172\",\n        }],\n [{\n            'v': 30000,\n            'f': \"30000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 22,\n            'f': \"22\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 23185,\n            'f': \"23185\",\n        },\n{\n            'v': 24194,\n            'f': \"24194\",\n        },\n{\n            'v': 25529,\n            'f': \"25529\",\n        },\n{\n            'v': 26563,\n            'f': \"26563\",\n        },\n{\n            'v': 28120,\n            'f': \"28120\",\n        },\n{\n            'v': 28558,\n            'f': \"28558\",\n        },\n{\n            'v': 1400,\n            'f': \"1400\",\n        },\n{\n            'v': 1730,\n            'f': \"1730\",\n        },\n{\n            'v': 1760,\n            'f': \"1760\",\n        }],\n [{\n            'v': 120000,\n            'f': \"120000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 27,\n            'f': \"27\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        },\n{\n            'v': 1026,\n            'f': \"1026\",\n        }],\n [{\n            'v': 60000,\n            'f': \"60000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 28,\n            'f': \"28\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 58204,\n            'f': \"58204\",\n        },\n{\n            'v': 56930,\n            'f': \"56930\",\n        },\n{\n            'v': 56616,\n            'f': \"56616\",\n        },\n{\n            'v': 56749,\n            'f': \"56749\",\n        },\n{\n            'v': 57504,\n            'f': \"57504\",\n        },\n{\n            'v': 58296,\n            'f': \"58296\",\n        },\n{\n            'v': 2030,\n            'f': \"2030\",\n        },\n{\n            'v': 2083,\n            'f': \"2083\",\n        },\n{\n            'v': 1983,\n            'f': \"1983\",\n        }],\n [{\n            'v': 310000,\n            'f': \"310000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 25,\n            'f': \"25\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 140483,\n            'f': \"140483\",\n        },\n{\n            'v': 141796,\n            'f': \"141796\",\n        },\n{\n            'v': 145125,\n            'f': \"145125\",\n        },\n{\n            'v': 148388,\n            'f': \"148388\",\n        },\n{\n            'v': 152132,\n            'f': \"152132\",\n        },\n{\n            'v': 155887,\n            'f': \"155887\",\n        },\n{\n            'v': 4000,\n            'f': \"4000\",\n        },\n{\n            'v': 4500,\n            'f': \"4500\",\n        },\n{\n            'v': 4500,\n            'f': \"4500\",\n        }],\n [{\n            'v': 500000,\n            'f': \"500000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 42,\n            'f': \"42\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 114374,\n            'f': \"114374\",\n        },\n{\n            'v': 130999,\n            'f': \"130999\",\n        },\n{\n            'v': 153648,\n            'f': \"153648\",\n        },\n{\n            'v': 172515,\n            'f': \"172515\",\n        },\n{\n            'v': 178758,\n            'f': \"178758\",\n        },\n{\n            'v': 192589,\n            'f': \"192589\",\n        },\n{\n            'v': 50012,\n            'f': \"50012\",\n        },\n{\n            'v': 51343,\n            'f': \"51343\",\n        },\n{\n            'v': 70000,\n            'f': \"70000\",\n        }],\n [{\n            'v': 100000,\n            'f': \"100000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 30,\n            'f': \"30\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 31708,\n            'f': \"31708\",\n        },\n{\n            'v': 30904,\n            'f': \"30904\",\n        },\n{\n            'v': 31953,\n            'f': \"31953\",\n        },\n{\n            'v': 34308,\n            'f': \"34308\",\n        },\n{\n            'v': 34951,\n            'f': \"34951\",\n        },\n{\n            'v': 34261,\n            'f': \"34261\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1850,\n            'f': \"1850\",\n        },\n{\n            'v': 3200,\n            'f': \"3200\",\n        }],\n [{\n            'v': 50000,\n            'f': \"50000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 22,\n            'f': \"22\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 13444,\n            'f': \"13444\",\n        },\n{\n            'v': 14819,\n            'f': \"14819\",\n        },\n{\n            'v': 15967,\n            'f': \"15967\",\n        },\n{\n            'v': 16599,\n            'f': \"16599\",\n        },\n{\n            'v': 17329,\n            'f': \"17329\",\n        },\n{\n            'v': 17888,\n            'f': \"17888\",\n        },\n{\n            'v': 1600,\n            'f': \"1600\",\n        },\n{\n            'v': 1700,\n            'f': \"1700\",\n        },\n{\n            'v': 1200,\n            'f': \"1200\",\n        }],\n [{\n            'v': 90000,\n            'f': \"90000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 52,\n            'f': \"52\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 91671,\n            'f': \"91671\",\n        },\n{\n            'v': 91656,\n            'f': \"91656\",\n        },\n{\n            'v': 87106,\n            'f': \"87106\",\n        },\n{\n            'v': 48730,\n            'f': \"48730\",\n        },\n{\n            'v': 27535,\n            'f': \"27535\",\n        },\n{\n            'v': 27751,\n            'f': \"27751\",\n        },\n{\n            'v': 4508,\n            'f': \"4508\",\n        },\n{\n            'v': 5110,\n            'f': \"5110\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        }],\n [{\n            'v': 130000,\n            'f': \"130000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 35,\n            'f': \"35\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 3929,\n            'f': \"3929\",\n        },\n{\n            'v': 4857,\n            'f': \"4857\",\n        },\n{\n            'v': 5771,\n            'f': \"5771\",\n        },\n{\n            'v': 8659,\n            'f': \"8659\",\n        },\n{\n            'v': 10503,\n            'f': \"10503\",\n        },\n{\n            'v': 11329,\n            'f': \"11329\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        }],\n [{\n            'v': 260000,\n            'f': \"260000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 46,\n            'f': \"46\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 29562,\n            'f': \"29562\",\n        },\n{\n            'v': 22429,\n            'f': \"22429\",\n        },\n{\n            'v': 11333,\n            'f': \"11333\",\n        },\n{\n            'v': 11651,\n            'f': \"11651\",\n        },\n{\n            'v': 12651,\n            'f': \"12651\",\n        },\n{\n            'v': 9247,\n            'f': \"9247\",\n        },\n{\n            'v': 1500,\n            'f': \"1500\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        },\n{\n            'v': 1000,\n            'f': \"1000\",\n        }],\n [{\n            'v': 340000,\n            'f': \"340000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 35,\n            'f': \"35\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 38214,\n            'f': \"38214\",\n        },\n{\n            'v': 39229,\n            'f': \"39229\",\n        },\n{\n            'v': 40747,\n            'f': \"40747\",\n        },\n{\n            'v': 41930,\n            'f': \"41930\",\n        },\n{\n            'v': 43397,\n            'f': \"43397\",\n        },\n{\n            'v': 44710,\n            'f': \"44710\",\n        },\n{\n            'v': 1500,\n            'f': \"1500\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        }],\n [{\n            'v': 130000,\n            'f': \"130000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 81907,\n            'f': \"81907\",\n        },\n{\n            'v': 83620,\n            'f': \"83620\",\n        },\n{\n            'v': 85327,\n            'f': \"85327\",\n        },\n{\n            'v': 87021,\n            'f': \"87021\",\n        },\n{\n            'v': 88843,\n            'f': \"88843\",\n        },\n{\n            'v': 90618,\n            'f': \"90618\",\n        },\n{\n            'v': 3034,\n            'f': \"3034\",\n        },\n{\n            'v': 3096,\n            'f': \"3096\",\n        },\n{\n            'v': 3112,\n            'f': \"3112\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 28,\n            'f': \"28\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 972,\n            'f': \"972\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 299,\n            'f': \"299\",\n        },\n{\n            'v': 299,\n            'f': \"299\",\n        },\n{\n            'v': 293,\n            'f': \"293\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 300,\n            'f': \"300\",\n        }],\n [{\n            'v': 150000,\n            'f': \"150000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 28,\n            'f': \"28\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 49278,\n            'f': \"49278\",\n        },\n{\n            'v': 50156,\n            'f': \"50156\",\n        },\n{\n            'v': 51849,\n            'f': \"51849\",\n        },\n{\n            'v': 54659,\n            'f': \"54659\",\n        },\n{\n            'v': 55681,\n            'f': \"55681\",\n        },\n{\n            'v': 53878,\n            'f': \"53878\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 2500,\n            'f': \"2500\",\n        },\n{\n            'v': 4300,\n            'f': \"4300\",\n        }],\n [{\n            'v': 170000,\n            'f': \"170000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 44,\n            'f': \"44\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 167077,\n            'f': \"167077\",\n        },\n{\n            'v': 170965,\n            'f': \"170965\",\n        },\n{\n            'v': 172541,\n            'f': \"172541\",\n        },\n{\n            'v': 159546,\n            'f': \"159546\",\n        },\n{\n            'v': 137410,\n            'f': \"137410\",\n        },\n{\n            'v': 136680,\n            'f': \"136680\",\n        },\n{\n            'v': 12275,\n            'f': \"12275\",\n        },\n{\n            'v': 10000,\n            'f': \"10000\",\n        },\n{\n            'v': 8009,\n            'f': \"8009\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 39,\n            'f': \"39\",\n        },\n{\n            'v': 7,\n            'f': \"7\",\n        },\n{\n            'v': 6,\n            'f': \"6\",\n        },\n{\n            'v': 5,\n            'f': \"5\",\n        },\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 195156,\n            'f': \"195156\",\n        },\n{\n            'v': 190843,\n            'f': \"190843\",\n        },\n{\n            'v': 186029,\n            'f': \"186029\",\n        },\n{\n            'v': 181866,\n            'f': \"181866\",\n        },\n{\n            'v': 179272,\n            'f': \"179272\",\n        },\n{\n            'v': 148704,\n            'f': \"148704\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 260000,\n            'f': \"260000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 31,\n            'f': \"31\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 16083,\n            'f': \"16083\",\n        },\n{\n            'v': 759,\n            'f': \"759\",\n        },\n{\n            'v': -484,\n            'f': \"-484\",\n        },\n{\n            'v': -484,\n            'f': \"-484\",\n        },\n{\n            'v': 3872,\n            'f': \"3872\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 759,\n            'f': \"759\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 220000,\n            'f': \"220000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 32,\n            'f': \"32\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 217636,\n            'f': \"217636\",\n        },\n{\n            'v': 221834,\n            'f': \"221834\",\n        },\n{\n            'v': 222830,\n            'f': \"222830\",\n        },\n{\n            'v': 195121,\n            'f': \"195121\",\n        },\n{\n            'v': 169396,\n            'f': \"169396\",\n        },\n{\n            'v': 173875,\n            'f': \"173875\",\n        },\n{\n            'v': 8000,\n            'f': \"8000\",\n        },\n{\n            'v': 18000,\n            'f': \"18000\",\n        },\n{\n            'v': 7000,\n            'f': \"7000\",\n        }],\n [{\n            'v': 150000,\n            'f': \"150000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 30,\n            'f': \"30\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 7674,\n            'f': \"7674\",\n        },\n{\n            'v': 432,\n            'f': \"432\",\n        },\n{\n            'v': 2232,\n            'f': \"2232\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 432,\n            'f': \"432\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 60000,\n            'f': \"60000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 25,\n            'f': \"25\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 39831,\n            'f': \"39831\",\n        },\n{\n            'v': 33147,\n            'f': \"33147\",\n        },\n{\n            'v': 32239,\n            'f': \"32239\",\n        },\n{\n            'v': 30110,\n            'f': \"30110\",\n        },\n{\n            'v': 30465,\n            'f': \"30465\",\n        },\n{\n            'v': 30510,\n            'f': \"30510\",\n        },\n{\n            'v': 4500,\n            'f': \"4500\",\n        },\n{\n            'v': 4500,\n            'f': \"4500\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        }],\n [{\n            'v': 50000,\n            'f': \"50000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 3,\n            'f': \"3\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 34,\n            'f': \"34\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 9110,\n            'f': \"9110\",\n        },\n{\n            'v': 10454,\n            'f': \"10454\",\n        },\n{\n            'v': 12274,\n            'f': \"12274\",\n        },\n{\n            'v': 11780,\n            'f': \"11780\",\n        },\n{\n            'v': 14578,\n            'f': \"14578\",\n        },\n{\n            'v': 18309,\n            'f': \"18309\",\n        },\n{\n            'v': 1500,\n            'f': \"1500\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 50000,\n            'f': \"50000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 2159,\n            'f': \"2159\",\n        },\n{\n            'v': 1956,\n            'f': \"1956\",\n        },\n{\n            'v': 5592,\n            'f': \"5592\",\n        },\n{\n            'v': 10676,\n            'f': \"10676\",\n        },\n{\n            'v': 671,\n            'f': \"671\",\n        },\n{\n            'v': 9826,\n            'f': \"9826\",\n        },\n{\n            'v': 1961,\n            'f': \"1961\",\n        },\n{\n            'v': 5608,\n            'f': \"5608\",\n        },\n{\n            'v': 11906,\n            'f': \"11906\",\n        }],\n [{\n            'v': 190000,\n            'f': \"190000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 33,\n            'f': \"33\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': -2500,\n            'f': \"-2500\",\n        },\n{\n            'v': -3000,\n            'f': \"-3000\",\n        },\n{\n            'v': -3000,\n            'f': \"-3000\",\n        },\n{\n            'v': -3000,\n            'f': \"-3000\",\n        },\n{\n            'v': -3000,\n            'f': \"-3000\",\n        },\n{\n            'v': -3000,\n            'f': \"-3000\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        }],\n [{\n            'v': 240000,\n            'f': \"240000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 29,\n            'f': \"29\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 191059,\n            'f': \"191059\",\n        },\n{\n            'v': 197548,\n            'f': \"197548\",\n        },\n{\n            'v': 203823,\n            'f': \"203823\",\n        },\n{\n            'v': 216971,\n            'f': \"216971\",\n        },\n{\n            'v': 223048,\n            'f': \"223048\",\n        },\n{\n            'v': 228755,\n            'f': \"228755\",\n        },\n{\n            'v': 10000,\n            'f': \"10000\",\n        },\n{\n            'v': 10000,\n            'f': \"10000\",\n        },\n{\n            'v': 17000,\n            'f': \"17000\",\n        }],\n [{\n            'v': 160000,\n            'f': \"160000\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 27,\n            'f': \"27\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -2,\n            'f': \"-2\",\n        },\n{\n            'v': 1111,\n            'f': \"1111\",\n        },\n{\n            'v': 1111,\n            'f': \"1111\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 6795,\n            'f': \"6795\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 1111,\n            'f': \"1111\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 6795,\n            'f': \"6795\",\n        }],\n [{\n            'v': 200000,\n            'f': \"200000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 36,\n            'f': \"36\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 2444,\n            'f': \"2444\",\n        },\n{\n            'v': 1301,\n            'f': \"1301\",\n        },\n{\n            'v': 3207,\n            'f': \"3207\",\n        },\n{\n            'v': 3284,\n            'f': \"3284\",\n        },\n{\n            'v': 1111,\n            'f': \"1111\",\n        },\n{\n            'v': 8349,\n            'f': \"8349\",\n        },\n{\n            'v': 1301,\n            'f': \"1301\",\n        },\n{\n            'v': 3210,\n            'f': \"3210\",\n        },\n{\n            'v': 3284,\n            'f': \"3284\",\n        }],\n [{\n            'v': 60000,\n            'f': \"60000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 25,\n            'f': \"25\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 18280,\n            'f': \"18280\",\n        },\n{\n            'v': 19468,\n            'f': \"19468\",\n        },\n{\n            'v': 20986,\n            'f': \"20986\",\n        },\n{\n            'v': 23783,\n            'f': \"23783\",\n        },\n{\n            'v': 25548,\n            'f': \"25548\",\n        },\n{\n            'v': 21811,\n            'f': \"21811\",\n        },\n{\n            'v': 1482,\n            'f': \"1482\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n{\n            'v': 3000,\n            'f': \"3000\",\n        }],\n [{\n            'v': 30000,\n            'f': \"30000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 22,\n            'f': \"22\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 27332,\n            'f': \"27332\",\n        },\n{\n            'v': 26600,\n            'f': \"26600\",\n        },\n{\n            'v': 27832,\n            'f': \"27832\",\n        },\n{\n            'v': 26897,\n            'f': \"26897\",\n        },\n{\n            'v': 27278,\n            'f': \"27278\",\n        },\n{\n            'v': 27851,\n            'f': \"27851\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 2006,\n            'f': \"2006\",\n        },\n{\n            'v': 2000,\n            'f': \"2000\",\n        }],\n [{\n            'v': 120000,\n            'f': \"120000\",\n        },\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 51,\n            'f': \"51\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': -1,\n            'f': \"-1\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 0,\n            'f': \"0\",\n        },\n{\n            'v': 82865,\n            'f': \"82865\",\n        },\n{\n            'v': 82741,\n            'f': \"82741\",\n        },\n{\n            'v': 62914,\n            'f': \"62914\",\n        },\n{\n            'v': 60584,\n            'f': \"60584\",\n        },\n{\n            'v': 61412,\n            'f': \"61412\",\n        },\n{\n            'v': 55572,\n            'f': \"55572\",\n        },\n{\n            'v': 3652,\n            'f': \"3652\",\n        },\n{\n            'v': 1258,\n            'f': \"1258\",\n        },\n{\n            'v': 60584,\n            'f': \"60584\",\n        }]],\n        columns: [[\"number\", \"LIMIT_BAL\"], [\"number\", \"SEX\"], [\"number\", \"EDUCATION\"], [\"number\", \"MARRIAGE\"], [\"number\", \"AGE\"], [\"number\", \"PAY_1\"], [\"number\", \"PAY_2\"], [\"number\", \"PAY_3\"], [\"number\", \"PAY_4\"], [\"number\", \"PAY_5\"], [\"number\", \"PAY_6\"], [\"number\", \"BILL_AMT1\"], [\"number\", \"BILL_AMT2\"], [\"number\", \"BILL_AMT3\"], [\"number\", \"BILL_AMT4\"], [\"number\", \"BILL_AMT5\"], [\"number\", \"BILL_AMT6\"], [\"number\", \"PAY_AMT1\"], [\"number\", \"PAY_AMT2\"], [\"number\", \"PAY_AMT3\"]],\n        columnOptions: [],\n        rowsPerPage: 5,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/plain": [
              "<google.colab.data_table.DataTable object>"
            ],
            "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>LIMIT_BAL</th>\n",
              "      <th>SEX</th>\n",
              "      <th>EDUCATION</th>\n",
              "      <th>MARRIAGE</th>\n",
              "      <th>AGE</th>\n",
              "      <th>PAY_1</th>\n",
              "      <th>PAY_2</th>\n",
              "      <th>PAY_3</th>\n",
              "      <th>PAY_4</th>\n",
              "      <th>PAY_5</th>\n",
              "      <th>PAY_6</th>\n",
              "      <th>BILL_AMT1</th>\n",
              "      <th>BILL_AMT2</th>\n",
              "      <th>BILL_AMT3</th>\n",
              "      <th>BILL_AMT4</th>\n",
              "      <th>BILL_AMT5</th>\n",
              "      <th>BILL_AMT6</th>\n",
              "      <th>PAY_AMT1</th>\n",
              "      <th>PAY_AMT2</th>\n",
              "      <th>PAY_AMT3</th>\n",
              "      <th>PAY_AMT4</th>\n",
              "      <th>PAY_AMT5</th>\n",
              "      <th>PAY_AMT6</th>\n",
              "      <th>default payment next month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7755</th>\n",
              "      <td>60000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>-1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>-1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4603</td>\n",
              "      <td>4186</td>\n",
              "      <td>0</td>\n",
              "      <td>1887</td>\n",
              "      <td>1543</td>\n",
              "      <td>3972</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1887</td>\n",
              "      <td>0</td>\n",
              "      <td>3557</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1582</th>\n",
              "      <td>50000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>40</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>5538</td>\n",
              "      <td>6563</td>\n",
              "      <td>7422</td>\n",
              "      <td>8292</td>\n",
              "      <td>8465</td>\n",
              "      <td>8650</td>\n",
              "      <td>1271</td>\n",
              "      <td>1130</td>\n",
              "      <td>1000</td>\n",
              "      <td>307</td>\n",
              "      <td>325</td>\n",
              "      <td>436</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25442</th>\n",
              "      <td>120000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>28</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>50477</td>\n",
              "      <td>52632</td>\n",
              "      <td>55282</td>\n",
              "      <td>56878</td>\n",
              "      <td>57948</td>\n",
              "      <td>59179</td>\n",
              "      <td>3500</td>\n",
              "      <td>4000</td>\n",
              "      <td>3500</td>\n",
              "      <td>2500</td>\n",
              "      <td>2200</td>\n",
              "      <td>2200</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21937</th>\n",
              "      <td>200000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>27</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-2</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-2</td>\n",
              "      <td>1171</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>680</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>680</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>442</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25111</th>\n",
              "      <td>50000</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1344</td>\n",
              "      <td>780</td>\n",
              "      <td>13032</td>\n",
              "      <td>14292</td>\n",
              "      <td>16698</td>\n",
              "      <td>15436</td>\n",
              "      <td>1200</td>\n",
              "      <td>13032</td>\n",
              "      <td>1500</td>\n",
              "      <td>3000</td>\n",
              "      <td>554</td>\n",
              "      <td>2000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11689</th>\n",
              "      <td>360000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>29</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>5751</td>\n",
              "      <td>1501</td>\n",
              "      <td>624</td>\n",
              "      <td>0</td>\n",
              "      <td>1000</td>\n",
              "      <td>1866</td>\n",
              "      <td>1501</td>\n",
              "      <td>624</td>\n",
              "      <td>0</td>\n",
              "      <td>1000</td>\n",
              "      <td>1866</td>\n",
              "      <td>252</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15189</th>\n",
              "      <td>90000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>88550</td>\n",
              "      <td>78892</td>\n",
              "      <td>75808</td>\n",
              "      <td>63362</td>\n",
              "      <td>65300</td>\n",
              "      <td>67248</td>\n",
              "      <td>3000</td>\n",
              "      <td>3500</td>\n",
              "      <td>3000</td>\n",
              "      <td>3000</td>\n",
              "      <td>3000</td>\n",
              "      <td>5000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>545</th>\n",
              "      <td>390000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>31</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>50620</td>\n",
              "      <td>43220</td>\n",
              "      <td>44237</td>\n",
              "      <td>46495</td>\n",
              "      <td>47751</td>\n",
              "      <td>51941</td>\n",
              "      <td>5000</td>\n",
              "      <td>3000</td>\n",
              "      <td>3000</td>\n",
              "      <td>2000</td>\n",
              "      <td>5000</td>\n",
              "      <td>5000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2970</th>\n",
              "      <td>400000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>37</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>76917</td>\n",
              "      <td>79075</td>\n",
              "      <td>81864</td>\n",
              "      <td>83747</td>\n",
              "      <td>85487</td>\n",
              "      <td>88315</td>\n",
              "      <td>4000</td>\n",
              "      <td>4000</td>\n",
              "      <td>3000</td>\n",
              "      <td>3000</td>\n",
              "      <td>4000</td>\n",
              "      <td>4000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8536</th>\n",
              "      <td>230000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>24</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>69158</td>\n",
              "      <td>73712</td>\n",
              "      <td>68831</td>\n",
              "      <td>61534</td>\n",
              "      <td>25914</td>\n",
              "      <td>36313</td>\n",
              "      <td>8149</td>\n",
              "      <td>2214</td>\n",
              "      <td>5904</td>\n",
              "      <td>5542</td>\n",
              "      <td>15502</td>\n",
              "      <td>5000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9393</th>\n",
              "      <td>170000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>42</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>142118</td>\n",
              "      <td>144803</td>\n",
              "      <td>133868</td>\n",
              "      <td>119956</td>\n",
              "      <td>121277</td>\n",
              "      <td>122926</td>\n",
              "      <td>7040</td>\n",
              "      <td>6165</td>\n",
              "      <td>5004</td>\n",
              "      <td>5003</td>\n",
              "      <td>5001</td>\n",
              "      <td>5009</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28786</th>\n",
              "      <td>200000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>8812</td>\n",
              "      <td>15189</td>\n",
              "      <td>6205</td>\n",
              "      <td>37658</td>\n",
              "      <td>696</td>\n",
              "      <td>1430</td>\n",
              "      <td>15234</td>\n",
              "      <td>6225</td>\n",
              "      <td>38150</td>\n",
              "      <td>2</td>\n",
              "      <td>1434</td>\n",
              "      <td>2265</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>477</th>\n",
              "      <td>70000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>66759</td>\n",
              "      <td>68200</td>\n",
              "      <td>72972</td>\n",
              "      <td>71248</td>\n",
              "      <td>50610</td>\n",
              "      <td>50809</td>\n",
              "      <td>2518</td>\n",
              "      <td>5950</td>\n",
              "      <td>0</td>\n",
              "      <td>1782</td>\n",
              "      <td>1985</td>\n",
              "      <td>2700</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27041</th>\n",
              "      <td>250000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>32</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>207</td>\n",
              "      <td>4907</td>\n",
              "      <td>6833</td>\n",
              "      <td>8766</td>\n",
              "      <td>9539</td>\n",
              "      <td>9779</td>\n",
              "      <td>4907</td>\n",
              "      <td>2000</td>\n",
              "      <td>2000</td>\n",
              "      <td>1000</td>\n",
              "      <td>319</td>\n",
              "      <td>247</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26709</th>\n",
              "      <td>360000</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>27</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>1097</td>\n",
              "      <td>778</td>\n",
              "      <td>2999</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>780</td>\n",
              "      <td>3021</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29465</th>\n",
              "      <td>420000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>31</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>31065</td>\n",
              "      <td>25918</td>\n",
              "      <td>20899</td>\n",
              "      <td>14966</td>\n",
              "      <td>5676</td>\n",
              "      <td>134038</td>\n",
              "      <td>2004</td>\n",
              "      <td>3000</td>\n",
              "      <td>1041</td>\n",
              "      <td>5676</td>\n",
              "      <td>135687</td>\n",
              "      <td>4192</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14347</th>\n",
              "      <td>20000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>47</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19401</td>\n",
              "      <td>19670</td>\n",
              "      <td>19839</td>\n",
              "      <td>20236</td>\n",
              "      <td>19807</td>\n",
              "      <td>19843</td>\n",
              "      <td>1331</td>\n",
              "      <td>2000</td>\n",
              "      <td>688</td>\n",
              "      <td>1000</td>\n",
              "      <td>1500</td>\n",
              "      <td>700</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19532</th>\n",
              "      <td>380000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>41</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>415735</td>\n",
              "      <td>400246</td>\n",
              "      <td>384705</td>\n",
              "      <td>383332</td>\n",
              "      <td>381423</td>\n",
              "      <td>377466</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>15135</td>\n",
              "      <td>13212</td>\n",
              "      <td>13529</td>\n",
              "      <td>15212</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29806</th>\n",
              "      <td>200000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>176642</td>\n",
              "      <td>180421</td>\n",
              "      <td>185722</td>\n",
              "      <td>196732</td>\n",
              "      <td>188930</td>\n",
              "      <td>192647</td>\n",
              "      <td>7000</td>\n",
              "      <td>8500</td>\n",
              "      <td>16000</td>\n",
              "      <td>0</td>\n",
              "      <td>7500</td>\n",
              "      <td>15000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11997</th>\n",
              "      <td>90000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>50281</td>\n",
              "      <td>14033</td>\n",
              "      <td>12628</td>\n",
              "      <td>20172</td>\n",
              "      <td>73512</td>\n",
              "      <td>72588</td>\n",
              "      <td>0</td>\n",
              "      <td>2000</td>\n",
              "      <td>20172</td>\n",
              "      <td>73512</td>\n",
              "      <td>3000</td>\n",
              "      <td>4000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18384</th>\n",
              "      <td>30000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>23185</td>\n",
              "      <td>24194</td>\n",
              "      <td>25529</td>\n",
              "      <td>26563</td>\n",
              "      <td>28120</td>\n",
              "      <td>28558</td>\n",
              "      <td>1400</td>\n",
              "      <td>1730</td>\n",
              "      <td>1760</td>\n",
              "      <td>2310</td>\n",
              "      <td>1033</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12570</th>\n",
              "      <td>120000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>27</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>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>1026</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15224</th>\n",
              "      <td>60000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>28</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>58204</td>\n",
              "      <td>56930</td>\n",
              "      <td>56616</td>\n",
              "      <td>56749</td>\n",
              "      <td>57504</td>\n",
              "      <td>58296</td>\n",
              "      <td>2030</td>\n",
              "      <td>2083</td>\n",
              "      <td>1983</td>\n",
              "      <td>2200</td>\n",
              "      <td>2500</td>\n",
              "      <td>2200</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21770</th>\n",
              "      <td>310000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>25</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>140483</td>\n",
              "      <td>141796</td>\n",
              "      <td>145125</td>\n",
              "      <td>148388</td>\n",
              "      <td>152132</td>\n",
              "      <td>155887</td>\n",
              "      <td>4000</td>\n",
              "      <td>4500</td>\n",
              "      <td>4500</td>\n",
              "      <td>5000</td>\n",
              "      <td>5000</td>\n",
              "      <td>5000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14019</th>\n",
              "      <td>500000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>42</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>114374</td>\n",
              "      <td>130999</td>\n",
              "      <td>153648</td>\n",
              "      <td>172515</td>\n",
              "      <td>178758</td>\n",
              "      <td>192589</td>\n",
              "      <td>50012</td>\n",
              "      <td>51343</td>\n",
              "      <td>70000</td>\n",
              "      <td>70000</td>\n",
              "      <td>80000</td>\n",
              "      <td>50000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23477</th>\n",
              "      <td>100000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>30</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>31708</td>\n",
              "      <td>30904</td>\n",
              "      <td>31953</td>\n",
              "      <td>34308</td>\n",
              "      <td>34951</td>\n",
              "      <td>34261</td>\n",
              "      <td>0</td>\n",
              "      <td>1850</td>\n",
              "      <td>3200</td>\n",
              "      <td>1500</td>\n",
              "      <td>0</td>\n",
              "      <td>1500</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10929</th>\n",
              "      <td>50000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>22</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>13444</td>\n",
              "      <td>14819</td>\n",
              "      <td>15967</td>\n",
              "      <td>16599</td>\n",
              "      <td>17329</td>\n",
              "      <td>17888</td>\n",
              "      <td>1600</td>\n",
              "      <td>1700</td>\n",
              "      <td>1200</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27487</th>\n",
              "      <td>90000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>52</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>91671</td>\n",
              "      <td>91656</td>\n",
              "      <td>87106</td>\n",
              "      <td>48730</td>\n",
              "      <td>27535</td>\n",
              "      <td>27751</td>\n",
              "      <td>4508</td>\n",
              "      <td>5110</td>\n",
              "      <td>2000</td>\n",
              "      <td>3000</td>\n",
              "      <td>1000</td>\n",
              "      <td>3000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26301</th>\n",
              "      <td>130000</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>35</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>3929</td>\n",
              "      <td>4857</td>\n",
              "      <td>5771</td>\n",
              "      <td>8659</td>\n",
              "      <td>10503</td>\n",
              "      <td>11329</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>3000</td>\n",
              "      <td>2000</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10047</th>\n",
              "      <td>260000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>46</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>29562</td>\n",
              "      <td>22429</td>\n",
              "      <td>11333</td>\n",
              "      <td>11651</td>\n",
              "      <td>12651</td>\n",
              "      <td>9247</td>\n",
              "      <td>1500</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>1000</td>\n",
              "      <td>205</td>\n",
              "      <td>1988</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24462</th>\n",
              "      <td>340000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>35</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>38214</td>\n",
              "      <td>39229</td>\n",
              "      <td>40747</td>\n",
              "      <td>41930</td>\n",
              "      <td>43397</td>\n",
              "      <td>44710</td>\n",
              "      <td>1500</td>\n",
              "      <td>2000</td>\n",
              "      <td>2000</td>\n",
              "      <td>2000</td>\n",
              "      <td>2000</td>\n",
              "      <td>2000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5157</th>\n",
              "      <td>130000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>29</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>81907</td>\n",
              "      <td>83620</td>\n",
              "      <td>85327</td>\n",
              "      <td>87021</td>\n",
              "      <td>88843</td>\n",
              "      <td>90618</td>\n",
              "      <td>3034</td>\n",
              "      <td>3096</td>\n",
              "      <td>3112</td>\n",
              "      <td>3222</td>\n",
              "      <td>3250</td>\n",
              "      <td>3357</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8124</th>\n",
              "      <td>200000</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>29</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>2500</td>\n",
              "      <td>2500</td>\n",
              "      <td>2500</td>\n",
              "      <td>2500</td>\n",
              "      <td>2500</td>\n",
              "      <td>2500</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>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12740</th>\n",
              "      <td>200000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>28</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>972</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>299</td>\n",
              "      <td>299</td>\n",
              "      <td>293</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>300</td>\n",
              "      <td>300</td>\n",
              "      <td>294</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17196</th>\n",
              "      <td>150000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>28</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>49278</td>\n",
              "      <td>50156</td>\n",
              "      <td>51849</td>\n",
              "      <td>54659</td>\n",
              "      <td>55681</td>\n",
              "      <td>53878</td>\n",
              "      <td>2000</td>\n",
              "      <td>2500</td>\n",
              "      <td>4300</td>\n",
              "      <td>2500</td>\n",
              "      <td>0</td>\n",
              "      <td>2800</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17981</th>\n",
              "      <td>170000</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>44</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>167077</td>\n",
              "      <td>170965</td>\n",
              "      <td>172541</td>\n",
              "      <td>159546</td>\n",
              "      <td>137410</td>\n",
              "      <td>136680</td>\n",
              "      <td>12275</td>\n",
              "      <td>10000</td>\n",
              "      <td>8009</td>\n",
              "      <td>6000</td>\n",
              "      <td>30000</td>\n",
              "      <td>5322</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2324</th>\n",
              "      <td>200000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>39</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>195156</td>\n",
              "      <td>190843</td>\n",
              "      <td>186029</td>\n",
              "      <td>181866</td>\n",
              "      <td>179272</td>\n",
              "      <td>148704</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>39</td>\n",
              "      <td>85</td>\n",
              "      <td>3054</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16186</th>\n",
              "      <td>260000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>31</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>16083</td>\n",
              "      <td>759</td>\n",
              "      <td>-484</td>\n",
              "      <td>-484</td>\n",
              "      <td>3872</td>\n",
              "      <td>2</td>\n",
              "      <td>759</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4356</td>\n",
              "      <td>0</td>\n",
              "      <td>3200</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26427</th>\n",
              "      <td>220000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>32</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>217636</td>\n",
              "      <td>221834</td>\n",
              "      <td>222830</td>\n",
              "      <td>195121</td>\n",
              "      <td>169396</td>\n",
              "      <td>173875</td>\n",
              "      <td>8000</td>\n",
              "      <td>18000</td>\n",
              "      <td>7000</td>\n",
              "      <td>6000</td>\n",
              "      <td>7000</td>\n",
              "      <td>6100</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17407</th>\n",
              "      <td>150000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>7674</td>\n",
              "      <td>432</td>\n",
              "      <td>2232</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>432</td>\n",
              "      <td>2000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5757</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4254</th>\n",
              "      <td>60000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</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>39831</td>\n",
              "      <td>33147</td>\n",
              "      <td>32239</td>\n",
              "      <td>30110</td>\n",
              "      <td>30465</td>\n",
              "      <td>30510</td>\n",
              "      <td>4500</td>\n",
              "      <td>4500</td>\n",
              "      <td>2000</td>\n",
              "      <td>1301</td>\n",
              "      <td>1128</td>\n",
              "      <td>1023</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11190</th>\n",
              "      <td>50000</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9110</td>\n",
              "      <td>10454</td>\n",
              "      <td>12274</td>\n",
              "      <td>11780</td>\n",
              "      <td>14578</td>\n",
              "      <td>18309</td>\n",
              "      <td>1500</td>\n",
              "      <td>2000</td>\n",
              "      <td>0</td>\n",
              "      <td>3000</td>\n",
              "      <td>4000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26747</th>\n",
              "      <td>50000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>29</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>2159</td>\n",
              "      <td>1956</td>\n",
              "      <td>5592</td>\n",
              "      <td>10676</td>\n",
              "      <td>671</td>\n",
              "      <td>9826</td>\n",
              "      <td>1961</td>\n",
              "      <td>5608</td>\n",
              "      <td>11906</td>\n",
              "      <td>673</td>\n",
              "      <td>9855</td>\n",
              "      <td>7627</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13598</th>\n",
              "      <td>190000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>33</td>\n",
              "      <td>1</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2</td>\n",
              "      <td>-2500</td>\n",
              "      <td>-3000</td>\n",
              "      <td>-3000</td>\n",
              "      <td>-3000</td>\n",
              "      <td>-3000</td>\n",
              "      <td>-3000</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13638</th>\n",
              "      <td>240000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>29</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>191059</td>\n",
              "      <td>197548</td>\n",
              "      <td>203823</td>\n",
              "      <td>216971</td>\n",
              "      <td>223048</td>\n",
              "      <td>228755</td>\n",
              "      <td>10000</td>\n",
              "      <td>10000</td>\n",
              "      <td>17000</td>\n",
              "      <td>10000</td>\n",
              "      <td>10000</td>\n",
              "      <td>8000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27210</th>\n",
              "      <td>160000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>27</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-1</td>\n",
              "      <td>-2</td>\n",
              "      <td>1111</td>\n",
              "      <td>1111</td>\n",
              "      <td>0</td>\n",
              "      <td>6795</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1111</td>\n",
              "      <td>0</td>\n",
              "      <td>6795</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8376</th>\n",
              "      <td>200000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>36</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>2444</td>\n",
              "      <td>1301</td>\n",
              "      <td>3207</td>\n",
              "      <td>3284</td>\n",
              "      <td>1111</td>\n",
              "      <td>8349</td>\n",
              "      <td>1301</td>\n",
              "      <td>3210</td>\n",
              "      <td>3284</td>\n",
              "      <td>1111</td>\n",
              "      <td>8349</td>\n",
              "      <td>4249</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12677</th>\n",
              "      <td>60000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>25</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>18280</td>\n",
              "      <td>19468</td>\n",
              "      <td>20986</td>\n",
              "      <td>23783</td>\n",
              "      <td>25548</td>\n",
              "      <td>21811</td>\n",
              "      <td>1482</td>\n",
              "      <td>2000</td>\n",
              "      <td>3000</td>\n",
              "      <td>3000</td>\n",
              "      <td>1500</td>\n",
              "      <td>2000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15152</th>\n",
              "      <td>30000</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27332</td>\n",
              "      <td>26600</td>\n",
              "      <td>27832</td>\n",
              "      <td>26897</td>\n",
              "      <td>27278</td>\n",
              "      <td>27851</td>\n",
              "      <td>0</td>\n",
              "      <td>2006</td>\n",
              "      <td>2000</td>\n",
              "      <td>1100</td>\n",
              "      <td>1137</td>\n",
              "      <td>1300</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23695</th>\n",
              "      <td>120000</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>51</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>82865</td>\n",
              "      <td>82741</td>\n",
              "      <td>62914</td>\n",
              "      <td>60584</td>\n",
              "      <td>61412</td>\n",
              "      <td>55572</td>\n",
              "      <td>3652</td>\n",
              "      <td>1258</td>\n",
              "      <td>60584</td>\n",
              "      <td>1228</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        },
        "id": "SSQ4Fa_91_rB",
        "outputId": "56b2ad55-02a4-4d2c-f4b0-d17a15a12269"
      },
      "source": [
        "df.describe().transpose()"
      ],
      "execution_count": 3,
      "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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>LIMIT_BAL</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>167484.322667</td>\n",
              "      <td>129747.661567</td>\n",
              "      <td>10000.0</td>\n",
              "      <td>50000.00</td>\n",
              "      <td>140000.0</td>\n",
              "      <td>240000.00</td>\n",
              "      <td>1000000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEX</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>1.603733</td>\n",
              "      <td>0.489129</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EDUCATION</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>1.853133</td>\n",
              "      <td>0.790349</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MARRIAGE</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>1.551867</td>\n",
              "      <td>0.521970</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AGE</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>35.485500</td>\n",
              "      <td>9.217904</td>\n",
              "      <td>21.0</td>\n",
              "      <td>28.00</td>\n",
              "      <td>34.0</td>\n",
              "      <td>41.00</td>\n",
              "      <td>79.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_1</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.016700</td>\n",
              "      <td>1.123802</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_2</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.133767</td>\n",
              "      <td>1.197186</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_3</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.166200</td>\n",
              "      <td>1.196868</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_4</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.220667</td>\n",
              "      <td>1.169139</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_5</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.266200</td>\n",
              "      <td>1.133187</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_6</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>-0.291100</td>\n",
              "      <td>1.149988</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT1</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>51223.330900</td>\n",
              "      <td>73635.860576</td>\n",
              "      <td>-165580.0</td>\n",
              "      <td>3558.75</td>\n",
              "      <td>22381.5</td>\n",
              "      <td>67091.00</td>\n",
              "      <td>964511.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT2</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>49179.075167</td>\n",
              "      <td>71173.768783</td>\n",
              "      <td>-69777.0</td>\n",
              "      <td>2984.75</td>\n",
              "      <td>21200.0</td>\n",
              "      <td>64006.25</td>\n",
              "      <td>983931.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT3</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>47013.154800</td>\n",
              "      <td>69349.387427</td>\n",
              "      <td>-157264.0</td>\n",
              "      <td>2666.25</td>\n",
              "      <td>20088.5</td>\n",
              "      <td>60164.75</td>\n",
              "      <td>1664089.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT4</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>43262.948967</td>\n",
              "      <td>64332.856134</td>\n",
              "      <td>-170000.0</td>\n",
              "      <td>2326.75</td>\n",
              "      <td>19052.0</td>\n",
              "      <td>54506.00</td>\n",
              "      <td>891586.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT5</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>40311.400967</td>\n",
              "      <td>60797.155770</td>\n",
              "      <td>-81334.0</td>\n",
              "      <td>1763.00</td>\n",
              "      <td>18104.5</td>\n",
              "      <td>50190.50</td>\n",
              "      <td>927171.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BILL_AMT6</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>38871.760400</td>\n",
              "      <td>59554.107537</td>\n",
              "      <td>-339603.0</td>\n",
              "      <td>1256.00</td>\n",
              "      <td>17071.0</td>\n",
              "      <td>49198.25</td>\n",
              "      <td>961664.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT1</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>5663.580500</td>\n",
              "      <td>16563.280354</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1000.00</td>\n",
              "      <td>2100.0</td>\n",
              "      <td>5006.00</td>\n",
              "      <td>873552.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT2</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>5921.163500</td>\n",
              "      <td>23040.870402</td>\n",
              "      <td>0.0</td>\n",
              "      <td>833.00</td>\n",
              "      <td>2009.0</td>\n",
              "      <td>5000.00</td>\n",
              "      <td>1684259.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT3</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>5225.681500</td>\n",
              "      <td>17606.961470</td>\n",
              "      <td>0.0</td>\n",
              "      <td>390.00</td>\n",
              "      <td>1800.0</td>\n",
              "      <td>4505.00</td>\n",
              "      <td>896040.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT4</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>4826.076867</td>\n",
              "      <td>15666.159744</td>\n",
              "      <td>0.0</td>\n",
              "      <td>296.00</td>\n",
              "      <td>1500.0</td>\n",
              "      <td>4013.25</td>\n",
              "      <td>621000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT5</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>4799.387633</td>\n",
              "      <td>15278.305679</td>\n",
              "      <td>0.0</td>\n",
              "      <td>252.50</td>\n",
              "      <td>1500.0</td>\n",
              "      <td>4031.50</td>\n",
              "      <td>426529.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PAY_AMT6</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>5215.502567</td>\n",
              "      <td>17777.465775</td>\n",
              "      <td>0.0</td>\n",
              "      <td>117.75</td>\n",
              "      <td>1500.0</td>\n",
              "      <td>4000.00</td>\n",
              "      <td>528666.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>default payment next month</th>\n",
              "      <td>30000.0</td>\n",
              "      <td>0.221200</td>\n",
              "      <td>0.415062</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              count           mean  ...        75%        max\n",
              "LIMIT_BAL                   30000.0  167484.322667  ...  240000.00  1000000.0\n",
              "SEX                         30000.0       1.603733  ...       2.00        2.0\n",
              "EDUCATION                   30000.0       1.853133  ...       2.00        6.0\n",
              "MARRIAGE                    30000.0       1.551867  ...       2.00        3.0\n",
              "AGE                         30000.0      35.485500  ...      41.00       79.0\n",
              "PAY_1                       30000.0      -0.016700  ...       0.00        8.0\n",
              "PAY_2                       30000.0      -0.133767  ...       0.00        8.0\n",
              "PAY_3                       30000.0      -0.166200  ...       0.00        8.0\n",
              "PAY_4                       30000.0      -0.220667  ...       0.00        8.0\n",
              "PAY_5                       30000.0      -0.266200  ...       0.00        8.0\n",
              "PAY_6                       30000.0      -0.291100  ...       0.00        8.0\n",
              "BILL_AMT1                   30000.0   51223.330900  ...   67091.00   964511.0\n",
              "BILL_AMT2                   30000.0   49179.075167  ...   64006.25   983931.0\n",
              "BILL_AMT3                   30000.0   47013.154800  ...   60164.75  1664089.0\n",
              "BILL_AMT4                   30000.0   43262.948967  ...   54506.00   891586.0\n",
              "BILL_AMT5                   30000.0   40311.400967  ...   50190.50   927171.0\n",
              "BILL_AMT6                   30000.0   38871.760400  ...   49198.25   961664.0\n",
              "PAY_AMT1                    30000.0    5663.580500  ...    5006.00   873552.0\n",
              "PAY_AMT2                    30000.0    5921.163500  ...    5000.00  1684259.0\n",
              "PAY_AMT3                    30000.0    5225.681500  ...    4505.00   896040.0\n",
              "PAY_AMT4                    30000.0    4826.076867  ...    4013.25   621000.0\n",
              "PAY_AMT5                    30000.0    4799.387633  ...    4031.50   426529.0\n",
              "PAY_AMT6                    30000.0    5215.502567  ...    4000.00   528666.0\n",
              "default payment next month  30000.0       0.221200  ...       0.00        1.0\n",
              "\n",
              "[24 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EiVyLVP2-D_3"
      },
      "source": [
        "- Unbalanced dataset. Customer default(default payment next month) shows 22% samples labeled as default.\n",
        "\n",
        "- "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sZ3jVhPF_nAa"
      },
      "source": [
        "## Descriptive Statistics\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "id": "dUFqUz49ARYw",
        "outputId": "4d81f39d-7ad0-4ae0-9829-c741b0b9d774"
      },
      "source": [
        "plt.subplots(figsize=(20,5))\n",
        "plt.subplot(121)\n",
        "sns.distplot(df.LIMIT_BAL)\n",
        "\n",
        "plt.subplot(122)\n",
        "sns.distplot(df.AGE);"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABIUAAAFJCAYAAAAFXp3FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXSdVbnH8d+TeWiSZuqUJk06j7SFtKUtRUYZpYqADCoiiigIiF5ErxcRERwQRAG1CIog8yAVCggUaCmltKXznLRNp6RJkzZJMw/7/pEEawdymuY9Q873s1ZWT855z7ufw2LRze/s/WxzzgkAAAAAAADhJSLQBQAAAAAAAMD/CIUAAAAAAADCEKEQAAAAAABAGCIUAgAAAAAACEOEQgAAAAAAAGGIUAgAAAAAACAMBV0oZGaPmlmpma3upvvlmNm/zWydma01s9zuuC8AAAAAAEAoC7pQSNLfJJ3djff7u6TfOOdGSZosqbQb7w0AAAAAABCSgi4Ucs7Nk1Rx4HNmNsTMXjezpWY238xG+nIvMxstKco592b7vfc752q7v2oAAAAAAIDQEnSh0BHMkvRd59wJkn4g6SEf3zdc0j4ze9HMlpnZb8ws0rMqAQAAAAAAQkRUoAvojJn1kjRN0nNm1vF0bPtrF0q64zBv2+mcO0ttn2+GpImStkl6RtLXJD3ibdUAAAAAAADBLehDIbWtZtrnnJtw8AvOuRclvfgp790hablzbrMkmdk/JZ0oQiEAAAAAABDmgn77mHOuStIWM7tYkqzNeB/fvlhSbzPLbP/9NElrPSgTAAAAAAAgpARdKGRmT0laKGmEme0ws6slXSHpajNbIWmNpJm+3Ms516K2HkRvm9kqSSbpYW8qBwAAAAAACB3mnAt0DQAAAAAAAPCzoFspBAAAAAAAAO8RCgEAAAAAAIShoDp9LCMjw+Xm5ga6DAAA4JGlS5fucc5ldn4l/IX5FwAAPd+R5mBBFQrl5uZqyZIlgS4DAAB4xMyKAl0D/hvzLwAAer4jzcHYPgYAAAAAABCGCIUAAAAAAADCEKEQAAAAAABAGCIUAgAAAAAACEOEQgAAAAAAAGGIUAgAAAAAACAMEQoBAAAAAACEIUIhAAAAAACAMEQoBAAAAAAAEIY8C4XMbISZLT/gp8rMbvJqPAAAAAAAAPguyqsbO+c2SJogSWYWKWmnpJe8Gg8AAAAAAAC+8ywUOsjpkgqdc0V+Gi8kPLloW6fXXD4lxw+VAAAAIJA6mxcyJwQAeMFfPYUulfSUn8YCAAAAAABAJzwPhcwsRtIFkp47wuvXmNkSM1tSVlbmdTkAAAAAAACQf1YKnSPpY+fc7sO96Jyb5ZzLd87lZ2Zm+qEcAAAAAAAA+CMUukxsHQMAAAAAAAgqnoZCZpYo6UxJL3o5DgAAAAAAAI6Op6ePOedqJKV7OQYAAAAAAACOnr9OHwMAAAAAAEAQIRQCAAAAAAAIQ4RCAAAAAAAAYYhQCAAAAAAAIAwRCgEAAAAAAIQhQiEAAAAAAIAwRCgEAAAAAAAQhgiFAAAAAAAAwhChEAAAAAAAQBgiFAIAAAgyZna2mW0wswIzu/Uwr8ea2TPtry8ys9z256PN7DEzW2Vm68zsR/6uHQAAhA5CIQAAgCBiZpGSHpR0jqTRki4zs9EHXXa1pL3OuaGS7pP0q/bnL5YU65wbJ+kESd/qCIwAAAAORigEAAAQXCZLKnDObXbONUp6WtLMg66ZKemx9sfPSzrdzEySk5RoZlGS4iU1SqryT9kAACDUEAoBAAAElyxJ2w/4fUf7c4e9xjnXLKlSUrraAqIaScWStkm6xzlX4XXBAAAgNBEKAQAA9ByTJbVIGiApT9L3zWzwwReZ2TVmtsTMlpSVlfm7RgAAECQIhQAAAILLTknZB/w+sP25w17TvlUsRVK5pMslve6ca3LOlUpaICn/4AGcc7Occ/nOufzMzEwPPgIAAAgFhEIAAADBZbGkYWaWZ2Yxki6VNPuga2ZLurL98UWS5jrnnNq2jJ0mSWaWKOlESev9UjUAAAg5hEIAAABBpL1H0PWS3pC0TtKzzrk1ZnaHmV3QftkjktLNrEDSzZI6jq1/UFIvM1ujtnDpr865lf79BAAAIFREBboAAAAA/Dfn3BxJcw567rYDHter7fj5g9+3/3DPAwAAHA4rhQAAAAAAAMIQoRAAAAAAAEAYIhQCAAAAAAAIQ4RCAAAAAAAAYYhQCAAAAAAAIAwRCgEAAAAAAIQhQiEAAAAAAIAwRCgEAAAAAAAQhgiFAAAAAAAAwhChEAAAAAAAQBjyNBQys95m9ryZrTezdWY21cvxAAAAAAAA4Jsoj+9/v6TXnXMXmVmMpASPxwMAAAAAAIAPPAuFzCxF0smSviZJzrlGSY1ejQcAAAAAAADfebl9LE9SmaS/mtkyM/uLmSV6OB4AAAAAAAB85GUoFCXpeEl/dM5NlFQj6daDLzKza8xsiZktKSsr87AcAAAAAAAAdPAyFNohaYdzblH778+rLST6L865Wc65fOdcfmZmpoflAAAAAAAAoINnoZBzrkTSdjMb0f7U6ZLWejUeAAAAAAAAfOf16WPflfSP9pPHNku6yuPxAAAAAAAA4ANPQyHn3HJJ+V6OAQAAAAAAgKPnZU8hAAAAAAAABClCIQAAAAAAgDBEKAQAAAAAABCGCIUAAAAAAADCEKEQAAAAAABAGCIUAgAAAAAACEOEQgAAAAAAAGGIUAgAAAAAACAMEQoBAAAAAACEIUIhAAAAAACAMEQoBAAAAAAAEIYIhQAAAAAAAMIQoRAAAAAAAEAYIhQCAAAAAAAIQ4RCAAAAAAAAYYhQCAAAAAAAIAwRCgEAAAAAAIQhQiEAAAAAAIAwRCgEAAAAAAAQhgiFAAAAAAAAwhChEAAAAAAAQBgiFAIAAAAAAAhDhEIAAAAAAABhiFAIAAAAAAAgDEUFugAAAAAAoe/JRds+9fXLp+T4qRIAgK9YKQQAAAAAABCGCIUAAAAAAADCEKEQAAAAAABAGPK0p5CZbZVULalFUrNzLt/L8QAAAAAAAOAbfzSaPtU5t8cP4wAAAAAAAMBHbB8DAAAAAAAIQ16HQk7Sv81sqZldc7gLzOwaM1tiZkvKyso8LgcAAAAAAACS96HQSc654yWdI+k6Mzv54Aucc7Occ/nOufzMzEyPywkO+2ob9Y9FRaqsawp0KQAAIAiZ2dlmtsHMCszs1sO8Hmtmz7S/vsjMcg947TgzW2hma8xslZnF+bN2AAAQOjztKeSc29n+Z6mZvSRpsqR5Xo4ZzGoamvXr19fr2SU7VNfUotz0BH1jxmBFmAW6NAAAECTMLFLSg5LOlLRD0mIzm+2cW3vAZVdL2uucG2pml0r6laQvmVmUpCckfcU5t8LM0iXxLRQAADgsz1YKmVmimSV1PJb0WUmrvRovFDz0boH+/mGRzjuuv753xnBtLa/VR1sqAl0WAAAILpMlFTjnNjvnGiU9LWnmQdfMlPRY++PnJZ1uZqa2+dZK59wKSXLOlTvnWvxUNwAACDFerhTqK+mltvmJoiQ96Zx73cPxglpdY4v+sWibzhzVV/dcPF7OOf1r5S69vqZEI/slqXdCTKBLBAAAwSFL0vYDft8hacqRrnHONZtZpaR0ScMlOTN7Q1KmpKedc7/2vmQAABCKPFsp1P7t1vj2nzHOuV94NVYoeHHZDu2rbdI3ZgyWJJmZvjAhS3LSq6uKA1wdAADoIaIknSTpivY/v2Bmpx98EQd9AAAAiSPp/aK11emR97doXFaKJuWmfvJ8amKMJuWman1JtRqaWdkNAAAkSTslZR/w+8D25w57TXsfoRRJ5WpbVTTPObfHOVcraY6k4w8eIBwP+gAAAIciFPKD9zaWaXNZja4+KU92UFPpkf2T1dLqVFC6P0DVAQCAILNY0jAzyzOzGEmXSpp90DWzJV3Z/vgiSXOdc07SG5LGmVlCe1j0GUlrBQAAcBiEQn7w9OJt6pMUq3PH9T/ktdz0RMVFR2h9cXUAKgMAAMHGOdcs6Xq1BTzrJD3rnFtjZneY2QXtlz0iKd3MCiTdLOnW9vfulXSv2oKl5ZI+ds696u/PAAAAQoOnR9JDaml1+qCwXOcfN0AxUYdmcJERpuF9k7R+d7VaneN4egAAIOfcHLVt/TrwudsOeFwv6eIjvPcJtR1LDwAA8KlYKeSxNbsqVV3frGlD0o94zch+yappaNaOvXV+rAwAAAAAAIQzQiGPfVBYLkk6cfCRQ6ERfZMUYdL64ip/lQUAAAAAAMIcoZDHPigs14i+ScpMij3iNfExkRqUnqj1JfQVAgAAAAAA/kEo5KHG5lYt3lKhqZ+ydazDyH5JKqmqV2Vdkx8qAwAAAAAA4Y5QyEMrduxTXVOLT6FQXkaiJGlbRa3XZQEAAAAAABAKeemDgnKZSSfmdR4K9U+JV3SkaVt5jR8qAwAAAAAA4Y5QyEMLCvdo7IAUpSREd3ptZIQpq3cCK4UAAAAAAIBfEAp5pLG5Vcu37dOJg9N8fk9OWoJ27atXU0urh5UBAAAAAAAQCnmmsGy/GltaNW5gb5/fMyg9QS3OaefeOg8rAwAAAAAAIBTyzLriKknSqH5JPr8nOy1BEs2mAQAAAACA9wiFPLK+pFoxURGfnCrmi16xUUpPjCEUAgAAAAAAniMU8si64ioN79tLUZFH9484J62t2bRzzqPKAAAAAAAACIU8s664WiP7JR/1+3LSE7S/oVl7a5s8qAoAAAAAAKANoZAHyqobtGd/g0b170Io1N5XqKi8prvLAgAAAAAA+AShkAfWlxx9k+kOfZPjFBMZoR2cQAYAAAAAADxEKOSB9cXVkqSRXVgpFGGmrNR4bd9Ls2kAAAAAAOAdQiEPrCupUt/kWKUlxnTp/QNT41VcWa/mltZurgwAAAAAAKANoZAHutpkukN2aoJaWp1Kquq7sSoAAAAAAID/IBTqZk0trSoordbI/kffT6jDwNR4SdL2CraQAQAAAAAAbxAKdbPCsv1qanEadQwrhVLio5UUG0WzaQAAAAAA4BlCoW62cfd+SdKILpw81sHMNDA1XtsJhQAAAAAAgEeifLnIzF6U9Iik15xzdD9u9+SibYc8986GUknSos0VGtWF08c6ZKclaF1JtSprm5SSEN3l+wAAgMBhDgUAAIKZryuFHpJ0uaRNZvZLMxvhYU0hrWJ/o5JioxQTdWyLsAamJkiSVu7c1x1lAQCAwGAOBQAAgpZPyYVz7i3n3BWSjpe0VdJbZvaBmV1lZp+6jMXMIs1smZm9cuzlBr+K2sYuH0V/oKzebc2mV2wnFAIAIFQdyxwKAADAaz4vZzGzdElfk/QNScsk3a+2Cc6bnbz1RknrulhfyKmo6Z5QKD4mUpm9YrWcUAgAgJB2DHMoAAAAT/kUCpnZS5LmS0qQ9Dnn3AXOuWecc9+V1OtT3jdQ0nmS/tIdxQa7ppZWVdU1dUsoJLX1Ffp42z4557rlfgAAwL+6OocCAADwB58aTUt62Dk358AnzCzWOdfgnMv/lPf9TtItkrp+FFcI2VvTKCd1Wyg0KD1BH2/bq817ajQkk3kjAAAhqKtzKAAAAM/5un3szsM8t/DT3mBm50sqdc4t7eS6a8xsiZktKSsr87Gc4FRR0yhJSu+uUCitrdn00q17u+V+AADA7456DoXw5JxTQel+vbOhVM8t2a6nPtqmeRvLtGVPDavGAQCe+dSVQmbWT1KWpHgzmyjJ2l9KVtsy6E8zXdIFZnaupDhJyWb2hHPuywde5JybJWmWJOXn54f033jl7aFQWq/YbrlfRlKseidEa0lRhS6ZlN0t9wQAAN47xjkUwkhrq9PLK3bq93M3aXdVgyQpOS5KkRGmVTsrJUl5GYnKz03TiH5hsfgeAOBHnW0fO0ttjREHSrr3gOerJf34097onPuRpB9JkpmdIukHBwdCPU1FTaNioiKUGBPZLfeLMNMJOalaUsRKIQAAQkyX51AIHyWV9fr+c8u1oKBcfZJiddEJAzWmf7Jio9vmkrUNzVq1q1L/XrNb5/5+vm49e6S+efLgAFcNAOhJPjUUcs49JukxM/uic+4FP9UUsipqGpWeGCMz6/xiH52Qm6q315d226lmAADAe8yh0Jn3NpbpxqeXqaGpVXdfOE6tre6QOWRCbJSm5KVr3IAULd22V7+Ys071TS367unDAlQ1AKCn6Wz72Jedc09IyjWzmw9+3Tl372Hedgjn3LuS3u1KgaGkoqZRfZK7Z+tYh/xBaZKkpUV7debovt16bwAA4I3umkOhZ3p5+U59/9kVGtY3SQ9ePlGDM3vpyUXbjnh9QmyUHrj8eP3Pcyv02zc3qtVJN55BMAQAOHadbR9LbP+To6860eqc9tY2amT/7t3rva64SpFmenzhVpVVNxzy+uVTcrp1PAAA0C2YQ+GwnviwSP/38mpNzk3TX67MV1JctE/vi4ww/ebi8TIz3ffWRo3ol6Szx/bzuFoAQE/X2faxP7f/+TP/lBO6quqa1Nzqun2LV3RkhAb0jlNReW233hcAAHiHORQO55/Lduon/1yt00f20YNXHK+46KPrQxkZYbrrwrEqKNuv/3luhUb0S1JeRmLnbwQA4Ah8OpLezH5tZslmFm1mb5tZmZn16KbRR6vjOHov+v4MSk/Uzn11ampp7fZ7AwAA7zCHQof3NpbpB8+t0ImD07oUCHWIjYrUQ1ccr6hI07efWKr6ppZurhQAEE58CoUkfdY5VyXpfElbJQ2V9D9eFRWKOkKh9MTu7SkktR1D2tzqtK2C1UIAAIQY5lDQuuIqffuJpRrWN0mzvprf5UCoQ1bveN33pQlaX1Kt3721qZuqBACEI19DoY5tZudJes45V+lRPSGrvKZRESalxPu2L/xo5GUkKsKkwtL93X5vAADgKeZQYW5fbaOueXyJkuKi9LerJinZxx5CnTllRB99KT9bD8/frNU7+dcKANA1voZCr5jZekknSHrbzDIl1XtXVujZW9uo3gkxiozovuPoO8RFR2pgaoIKywiFAAAIMcyhwlhLq9N3n1qmksp6/fHLJ6hvcly33v/H541SemKMbnl+JW0GAABd4lMo5Jy7VdI0SfnOuSZJNZJmellYqKmsa/JklVCHoX16acfeOtU1sm8cAIBQwRwqvN3/1kbN37RHd8wcq+NzUrv9/inx0bpj5litLa7Sw/M3d/v9AQA9X2dH0h9opKRcMzvwPX/v5npCVlVdkwale3f6w5DMXpq7vlRb9uzX6AEpno0DAAC6HXOoMPRB4R794Z0CffH4gbpsco5n45w9tp/OGdtPv3trk84a009DMnt5NhYAoOfx9fSxxyXdI+kkSZPaf/I9rCuktDqnqrpmT1cKZafFKzrSVMAWMgAAQgZzqPBUUdOo7z2zXHnpibpj5hjPx/vZzDGKi4rQj15YpdZW5/l4AICew9eVQvmSRjvn+FvmMGoamtXinJI9DIWiIiKUl5GowtIaz8YAAADdjjlUmHHO6ZbnV2pvTZMeuXKSEmOPZmF+1/RJitNPzh+tW55fqX98tE1fOXGQ52MCAHoGXxtNr5bUz8tCQllVXbMkKaWbTpM4kqGZvVS2v0GVdU2ejgMAALoNc6gw89ySHXpr3W7dcvYIjc3y35b/i08YqJOGZuhXr63Xrn11fhsXABDafA2FMiStNbM3zGx2x4+XhYWSjpDGy+1jkjSkT9se8U27qz0dBwAAdBvmUGFke0Wt7nhlrabkpenr0/P8OraZ6e4Lx6ml1ekn/1wtFqcBAHzh63rW270sItRV1reFQsnx3i4P7pccp5T4aK0vqVZ+bpqnYwEAgG5xe6ALgH+0trZtG3PO6Z6LxysiwvxeQ3Zagn5w1gj9/JW1mr1il2ZOyPJ7DQCA0OLrkfTvSdoqKbr98WJJH3tYV0iprG1SZIR5vmfczDSyX5IKSverqaXV07EAAMCxYw4VPh5buFULN5fr/84frey0hIDV8bVpuZqQ3Vs/+9dalVU3BKwOAEBo8PX0sW9Kel7Sn9ufypL0T6+KCjVV9U1KjotShHn/jdDIfslqbGnV5jIaTgMAEOyYQ4WHwrL9+uVr63XayD760qTsgNYSGWH69UXHqaahWbc8v4JtZACAT+Xr0pbrJE2WtEiSnHObzKyPZ1WFmMq6Js/7CXUYnJmomMgIrS+p0oh+SX4ZEwAAdBlzqB6uuaVVNz+7QvExkfrlheNkh/mS8MlF2/xa0/C+SfrxuaP009lr9PeFRbpyWq5fxwcAhA5fQ6EG51xjx19yZhYlia8d2lXWNWlgarxfxoqOjNDQPr20vqRaF/DNDwAAwY45VA/353mbtWL7Pj1w+UT1SY4LdDmf+OrUQXp3Q6l+MWedJuelaVT/5ECXFBJ8CfAun5Ljh0oAwD98PX3sPTP7saR4MztT0nOS/uVdWaHDOacqP64UkqRR/ZNVWdek4sp6v40JAAC6hDlUD1ZQWq3739qkc8f10/nHDQh0Of/FzPTri8YrJT5a1zy+RBU1jYEuCQAQhHwNhW6VVCZplaRvSZoj6SdeFRVKahtb1Nzq/BoKjeiXJJO0rrjKb2MCAIAu6dIcyszONrMNZlZgZrce5vVYM3um/fVFZpZ70Os5ZrbfzH7QLZ8Ch2hpP20sITZSP7tgbKDLOazMpFjN+soJ2l3VoGsfX6rGZg4qAQD8N19PH2tVW1PE7zjnLnLOPezoWiepbeuYJL+GQr1io5STlqC1hEIAAAS1rsyhzCxS0oOSzpE0WtJlZjb6oMuulrTXOTdU0n2SfnXQ6/dKeq07PgMO77EPturjbft02/mjlZkUG+hyjmhiTqp+c9Fx+mhrhX74wkq1tDKFBwD8x6eGQtbmdjPbI2mDpA1mVmZmt/mnvOAXiFBIksZmpai4sl5b9nAKGQAAweYY51CTJRU45zY75xolPS1p5kHXzJT0WPvj5yWdbu2Ni8zs85K2SFrTHZ8Fh9pWXqvfvLFBp4zI1BcmZgW6nE7NnJClH3x2uF5atlPfe2a5mlpYMQQAaNPZSqHvSZouaZJzLs05lyZpiqTpZvY9z6sLAR2hULKfQ6ExA9qaBc5ZVezXcQEAgE+OZQ6VJWn7Ab/vaH/usNc455olVUpKN7Nekn4o6WfH/hFwOM45/eillYqMMN31hcOfNhaMrj9tmG45e4Rmr9il6/7xsWobmwNdEgAgCHR2+thXJJ3pnNvT8YRzbrOZfVnSv9W2XDmsVdU1KcLatnT5U++EGGWnxuvVlcW67tShfh0bAAB0KlBzqNsl3eec2/9pYYWZXSPpGknKyeEkpaPxzOLtWlBQrjs/P1YDevvn9Fmp81OxfDkR6zunDFV8dKTueGWtPveH9/XgFcdrZD9OJQOAcNbZSqHoAyczHZxzZZL8uzQmSFXWNSk5LloRAfiWaFxWitYWV2krW8gAAAg2xzKH2ikp+4DfB7Y/d9hr2o+5T5FUrrbVSL82s62SbpL0YzO7/jB1zHLO5Tvn8jMzM337RFBpVb1+8eo6TclL0+WTQzNMu2p6np64eoqq6ps184EFemDuJtU1tgS6LABAgHQWCn3a2ZWcaympst6/x9EfaExWiiRpzmq2kAEAEGSOZQ61WNIwM8szsxhJl0qafdA1syVd2f74IklzXZsZzrlc51yupN9Juss598DRl4/Dufu19WpobtXdF45TRERobBs7nOlDMzTnhhk6ZUSm7vn3Rp1yzzv624Itn7RFAACEj85CofFmVnWYn2pJ4/xRYLCrqmvyez+hDqkJMRqf3Zu+QgAABJ8uz6HaewRdL+kNSeskPeucW2Nmd5jZBe2XPaK2HkIFkm6WdMix9eheH22p0EvLduqakwdrcGavQJdzzDKTYvXnr+TruWunamBqgm7/11pNuest3fzMcr2+ulj7G+g5BADh4FMb4TjnIv1VSChyzqmyrimge7HPG9dPd81Zry17apSXkRiwOgAAwH8c6xzKOTdH0pyDnrvtgMf1ki7u5B63H0sN+I/mllbd9vJqZfWO73G9HCflpumFb0/Tqh2VevKjbXp15S69uGynoiNNE7NTdeKQdE0dnK6JOb0VF83/GgBAT+Pf7sg9TENzq5panJLiAveP8XPjB+ju19brn8t26ntnDg9YHQAAAD3VUx9t0/qSav3pyycoPqZnBiPjBqbo7oHj9POZY7S0aK/mbijVwsJyPTB3k37/9ibFREXo+Jzemjo4Q1OHpGtCdm/FRHW26QAAEOw8SzPMLE7SPEmx7eM875z7qVfjBUJ1fduy2iOFQp2dEtEd+qfEa0peml5evlM3nTEsZI5FBQAACAU1Dc26/+1NmpKXprPG9A10OZ6LiozQlMHpmjI4XVLboSqLt1Ro4eZyLSws1+/e3qj73pLioiOUPyhNp4zI1Lnj+vv1JDYAQPfxcolLg6TT2o9EjZb0vpm95pz70MMx/aq6vq0ZX1JcYA9i+/yELN364iqt2FGpCdm9A1oLAABAT/KX+Vu0Z3+jHv7qyLD88i0lPlpnjO6rM0a3BWL7ahu1aEuFFhaW64PCPbrz1XW689V1mpSbqpy0RI3LSmEFEQCEEM9CIeeck7S//dfo9h/n1XiB8MlKodjA7sI7Z1x/3fbyGv1z2U5PQiFfVjxdPiU0j2UFAAA4kvL9DZo1r1Bnj+mniTmpgS4nKPROiNFZY/rprDH9JElb9tR80odo8da9emXlLk3KTdP0oRkBO6EXAOA7T2N8M4s0s+WSSiW96Zxb5OV4/hYsK4VS4qN16shMvbKyWM0trQGtBQAAoKd44J0C1TW16AdnjQh0KUErLyNR1582TG/f/Bl9c8ZgjeiXpA8K9+g3b6zXix/v0L7axkCXCAD4FJ6GQs65FufcBEkDJU02s7EHX2Nm15jZEjNbUlZW5mU53a66vllREaa46MAvkf38hCzt2d+g9wv2BLoUAACAkFe+v0FPfbRNX5g4UEP7hP4R9F4zM+VlJOrSSTn6/pkjNCUvXcu279O9b27UnFXFqm9qCXSJAIDD8Mu+J+fcPjN7R9LZklYf9NosSbMkKT8/P6S2l1U3NCspLioo9pefNqqPUpl4oxMAACAASURBVBOi9czi7TplRJ9Al3OIzragsf0MAAAEk78vLFJ9U6u+fcrgQJcSclITY/S58QN00rAMzV1XqgUFe7Rixz6l94rRBeMHBMXcGQDQxsvTxzIlNbUHQvGSzpT0K6/GC4Tq+qaAbx3rEBsVqS8eP1B/+2CryqoblJkUG+iSAAAAQlJtY7MeW7hVZ4zqq6F9kjq93h8nzoai1IQYffGEgZoyOE0vL9+lG59ern+t2KW7LhynPklxgS4PACBvt4/1l/SOma2UtFhtPYVe8XA8v6uubz7icfSBcOnkHDW3Or3w8Y5AlwIAABCynl28Xftqm3TtZ1gl1B0Gpibo26cM0U/OG6X5m/bos/fN0+uriwNdFgBAHoZCzrmVzrmJzrnjnHNjnXN3eDVWoARbKDS0Ty9NzkvT0x9tU9vhbwAAADgazS2tenj+Fp0wKFX5uWmBLqfHiDDTN2YM1qs3zFBOWoKufeJj3fGvtWps5pAUAAik4Ek0Qkx9U4vqmloCvn3s4OXKg9IS9NGWCt356joNyWxriki/HgAAAN/M21Smnfvq9L/njQp0KUclVPo3Du3TS89dO1V3z1mvRxds0bLte/XA5ccrq3d8oEsDgLAU+GOzQlRZdYMkKSk2uHK1sVkpio+O1IebywNdCgAAQMh56qPtyugVozNG9Q10KT1WbFSkbr9gjB68/Hht2r1f5/1+vt7ZUBrosgAgLBEKdVFpRygUJI2mO0RHRujEwWlau6tKu6vqA10OAABAyCitqtfc9aX64gkDFRPFNNlr5x3XX//67knqnxKvq/66WPf+e4NaWmmBAAD+FFzLXEJIWXVb4BJMPYU6TBuSoQUF5XpvY5kuyc8OdDkAAAAh4bmlO9TS6vSlg+ZPnC7mnbyMRL30nWn6v3+u1u/nFmjZ9n36/aUTlZoYE+jSACAs8BVIF/1npVDwhUKJsVGanJemFdv3qXx/Q6DLOaJWmmEDAIAg0drq9OyS7ZqSl6bB7X0Z4R9x0ZH69UXH6e4Lx2nR5gqd/4f3tXLHvkCXBQBhIfgSjRBRWtWgCGsLYILRScMy9OHmttVC3z19WJfu0dDcop1769TqnCLMuqWugtL9mrepTKVV9drf0Kypg9N11th+3XJvAACArlq0pUJF5bW66YyuzZuCnS+rnTprRu3liikz02WTczS6f7K+/cRSXfTHhfrpBaN1+eQcWTfNQwEAhwrORCMElFbXq1dsVLeFJd0tOS5a+blp+mhLuZZv36cJ2b19ep9zTq+uKtYzi7dr8dYK1Te1Kj46UoMzEzVjaIZy0hO7XNOHm8v1yspdSomP1pDMXnKSFhSWa/veOp05uq/6p3DqBAAACIzZK3YpISZSZ4/pH+hSAiYYtsmNz+6tV26YoRufXqb/fWm13t+0R3dfOE69E9hOBgBeYPtYF5VWNwRdk+mDnTmqr5LionXzM8tV19jS6fXFlXX6xmNLdP2Ty7Rjb50unZSju74wTqMHJKuovFaz5m/W3PW7j3rbl3NOr68u1uwVuzSsT5JuOG2YLs7P1iX52bp0UrZKqur1jceWqLmltasfFQAAoMuaW1r1xpoSnT6qr+JjIgNdTthLS4zRY1dN1o/OGak31+7WOffP52RdAPAIK4W6qKy6Qb2CdOtYh/iYSF10wkA98v4W/fK1dfrZzLFHvHbOqmL98IWVam5x+r/zR+tr03IVGfGfVVD1TS16eflOvbWuVJv31OjLUwYpLtq3SdMf5hZo3qY9mpyXpgvGD/iv1VXHDWxbwfT04u16/MMiXTU9r4ufFgAAoGvumrNeFTWNSoqNCorVMpAiIkzf+swQTR2SrhueWqbLHv5Q1586VDecPkzRkXyvDQDdhf+idlHbSqHgDoUkaUhmL319ep4eW1ikP7y96ZBjPqvqm/S/L63Sd/7xsYZk9tLrN83Q1Sfl/VcgJLU1APzSpBx98fgsbd1To4fnb1ZVfVOn4z/+YZHufXOjJmb3PiQQ6jAuK0UnD8/Ub/+9USWV9cf2gQEAAI7Sqp2ViomM0Ih+SYEuBQc5bmBvvXrDDF10/ED9YW6BLvrjByos2x/osgCgxyAU6oKWVqfy/cG/fazDLWeP0AXjB+i3b27UFX/5UK+vLtG8jWW6982Nmv7LufrHom361smD9dy1UzWok55BJwxK05VTc1W+v1F/fq9Qu/bVHfY655xmzSvUbS+v1hmj+ujC4wcesf+SmennM8eosaVVP39l7TF/XgAAAF81t7Rqza5KjeyfxAqUIJUYG6XfXDxeD11xvIoqanXe7+frsQ+2qrWVk2wB4FgF/1KXIFS+v0GtLjiPoz+cuOhI3X/pBM0YlqGfzl6ja59Y+slrZ4/pp+tPG6qxWSk+329Y3yR9Y0aenviwSH96r1Dnjusv59wnJ0M0t7TqlZXF+mhrhcZmpWjGsMxDVh4dbFB6or79mSG6/+1N+s6uSo0Z4Hs9AAAAXfXh5grVNrZoLHOPoHfuuP7KH5SqW15YqZ/OXqM31+7Wby4+jsNKAOAYhEaqEWRKqxskSckhEgpJbatxLs7P1hmj+mrnvjo1NLcoPTFWuRldO01sYGqCvnvaMD23dLtmr9il9zaWaVifXmpudVpXXKWG5lZ9Znimzhzd1+cT2r4+PU9/mb9Zs+Zt1v2XTuxSXQAAAEdjzupito6FkD7Jcfrr1ybpyY+26c5X1umz983Tz2eO1cwJAzi6HgC6IHRSjSBSWt3W9yZUto8dKDUxRqmJ3XOkZ2JslL46NVcrtu/T2uIqrd5VKZNp7IAUjc/uraF9eh3V/VISonX5lBw9umCrfvDZEcpOS+iWOgEAAA7HOae560o1rG8vto6FEDPTFVMGafqQDH3/uRW66ZnlenPtbt35+bHdNs8FgHBBKNQFpVVtK4VCZftYZ47llI0IM03MSdXEnNRPjqr3dWXQ4Xz9pDz9dcFWPfL+Ft1+wZgu3wcAAKAz60uqVVJVr2lD0gNdCrogNyNRz35rqv70XqF+99ZGLd5aoV9ddJxOHdEn0KUBQMjoGamGn3VsHwv2I+n97VjCoA79U+I1c0KWnl68TTecPkxpfNsDAAA88s6GUknS8L5sHfOHzr6IvHxKzlHfMzLCdN2pQ3XKiEzd/MwKXfXXxbpiSo5+fO4oJTJXB4BOsU62C0qr69U7IVpRLDP2xLc+M1j1Ta16clFRoEsBAAA92LvryzRmQLKS40OvJQD+25gBKXr5+um65uTBevKjbTr39/O1tGhvoMsCgKBHqtEFpVUN6pMUG+gyeqzhfZM0Y1iGHv+wSE0trYEuBwAA9ECVdU1aum2vThmRGehS0E3ioiP143NH6elvnqiWVqdL/rxQD8zdpBaOrgeAIyIU6oLS6gb1SYoLdBk92lXTc7W7qkFzVhUHuhQAANADvb9pj1paHf1neqApg9P12o0zdN64/rrn3xt15aMffXJQDADgvxEKdUFZNSuFvHbK8D7Ky0jUowu2BroUAADQA72zoVQp8dGakN070KXAA0lx0br/0gn61RfHaUlRhc69/329v2lPoMsCgKBDKHSUnHMqq25QZjKhkJciIkxfm9Z23P3H29gPDgAAuo9zTu9uKNOMYRn0iOzBzExfmpSj2defpNSEaH3l0UW6540NaqY9AQB8gpb8R6myrkmNLa1sH/ODL54wUPe8sUF/XbBVx+ekenJiBQAACD8bd+/Xnv0NOnkY/YTCwfC+SZp9/Um6ffYaPfBOgRZtKdfvL5uo/inxgS4NAAKOr0aOUsdx9Gwf816v2ChdMilbr60qVkkl+8ABAED3+KCwbRvRtKHpAa4E/hIfE6lfXXSc7r90gtbuqtK598/X/E1lgS4LAAKOlUJHqbTqP6FQdX1zgKvp+a6cmqtHF2zR4x9uVVbvhECXAwAAeoCFheXKTovXwFTmFqHmWFeOz5yQpXFZKfr2Ex/rykc/0vc/O0LfOWWIzKw7ywSAkEEodJQ6Ti7okxynwrKaAFfjm87+8gxmOekJOmNUXz25aJtuOmO4otn3DwAAjkFLq9OHm8t1ztj+gS4FB/HXnHVwZi+9dN003frCKv3mjQ1asX2f7rlkvJLjov0yPgAEE0Kho9SxfSyT7WN+8/XpeXpz7W4t375Pk3LTAl0OAAAIMQeGDTv31amqvllOLqS/OMOxSYiJ0v2XTtCE7N66a846ff6BBfrTV04IdFkA4HcsuzhKpVUNSoiJVK9Y8jR/OXFwmkb2S9IHhXvknAt0OQAAIIRtLtsvSRqc0SvAlSDQzExfPylPT37zRFXVN+vzDy7Qyh37Al0WAPgVodBRKq2up8m0n5mZvjljsHZXNWh9SXWgywEAACFsc1mNMnvFKjmerUJoMzkvTa/ecJJG9U/W04u369WVu9TSyheRAMKDZ6GQmWWb2TtmttbM1pjZjV6N5U+l1Q0cRx8AF0wYoNSEaL27oZTVQgAAoEtaWp22lNdocGZioEtBkOmbHKenvnmiThycrgWF5Xrk/S2qrm8KdFkA4DkvVwo1S/q+c260pBMlXWdmoz0czy/KqhuUmcxKIX+LjozQycMztX1vXcg0+AYAAMFl5746NTa3anAmW8dwqJioCF0wfoAuyR+onftq9cA7BSoqZ94JoGfzrDGOc65YUnH742ozWycpS9Jar8b0h7LqBraPBcjxOamau75U724o1dA+TOYAAMDR2bqn7X/w8zJYKdRTHeuR9ZI0ITtVfZPj9OSibXp4/madM7a/pg1J59h6AD2SX7olm1mupImSFh3mtWskXSNJOTmd/0c6kGobm7W/oZntYx7w5fSP6MgIzRiaoTmrS1RUXqNB6UzoAACA74oqapWeGMOBIehU/5R4feeUoXp+6Xa9uqpYW8tr9IUJWUrg3x0APYznjabNrJekFyTd5JyrOvh159ws51y+cy4/MzPT63KOSWlV23H0rBQKnMl56UqIidS7G8oCXQoAAAghzjltK6/RoPSEQJeCEBEfE6krThyks8f00/riav1+7iYVlO4PdFkA0K08DYXMLFptgdA/nHMvejmWP5RWt4dC9BQKmJioCE0bkqENu6u1a19doMsBAAAhonx/o2oaWzQojZXG8F2EmU4enqlrTxmi2KhIPbpgi+58Za0amlsCXRoAdAvP1j9a26bbRyStc87d69U4/lRaXS9JymSlUEBNHZyu+ZvK9O6GUl0+ZVCgywEAACGgqKKtn1AOK4XCmi8tCw4nq3e8rjt1qF5bXay/vL9F7xfs0T0Xj9fYrJRurhAA/MvLlULTJX1F0mlmtrz951wPx/Pcf7aP0VMokOJjIjV1cLrW7KpSaVV9oMsBAAAhoKi8VvHRkXy5hy6LiYrQzAlZevRr+SqvadTMBxfo16+vV30Tq4YAhC4vTx97X1KPatFfWt2g6EhTakJ0oEsJe9OGZmhB4R69u7FMl+RnB7qco+LLN1S+nIwBAAB8V1RRq5y0BEVwghSO0Wkj++qt76XpzlfX6qF3C/X6mhL96ovHaVJuWqBLA4Cj5nmj6Z6ktKpefZLiOI4yCPSKjdLUwelasX2fdrNaCAAAfIraxmaVVTfQZBrdJiUhWr+5eLwev3qyGptbdfGfFuq2l1drf0NzoEsDgKNCKHQUSqrq1S+FrWPBYsawTEVHRejtdbsDXQoAAAhi28prJdFPCN1vxrBMvXHTyfratFw9/mGRzrpvnt7byCm5AEIHodBRKKmsV79kQqFgkRgbpelDMrR6VxUnkQEAgCMqqqhVhEkDexMKofslxkbp9gvG6PlrpyouOkJXPvqRbn52ufbVNga6NADolGc9hXoa55yKK+t16sg+gS4FBzhpaIYWbt6jt9bt1g/OGhHocgAAQBAqKq/RgN7xioni+1B454RBaXr1hhl6YG6B/vReoeZtLNMvLzxOZ4zuG+jSDtFZj0v6WwLhg78ZfVRV36y6phZWCgWZ+JhInTwsU+tLqrVoc3mgywEAoFuY2dlmtsHMCszs1sO8Hmtmz7S/vsjMctufP9PMlprZqvY/T/N37cGmsblVO/bWaVAaq4TgvbjoSP3grBF6+frp6pMUp2/8fYlun72GE8oABC1CIR+VVLY1M6anUPCZNiRDKfHRumvOOrW2ukCXAwDAMTGzSEkPSjpH0mhJl5nZ6IMuu1rSXufcUEn3SfpV+/N7JH3OOTdO0pWSHvdP1cFrza5KNbc65aQnBroUhJExA1L00nXT9PXpefrbB1v1+QcXqKC0OtBlAcAhCIV8VNJ+wlV/QqGgExMVoTNH9dWKHZV6ZVVxoMsBAOBYTZZU4Jzb7JxrlPS0pJkHXTNT0mPtj5+XdLqZmXNumXNuV/vzayTFm1msX6oOUkuL9koSJ4/B72KjInXb50brr1+bpLLqBp3/h/f19Efb5BxfYgIIHoRCPiqpbGtk3JftY0FpQk5vje6frF+/vp7luQCAUJclafsBv+9of+6w1zjnmiVVSko/6JovSvrYOdfgUZ0hYcnWvUpNiFZyXHSgS0GYOnVkH7124wzlD0rTrS+u0k3PLFcNR9cDCBI0mvZRSWXbfIpQKDhFmOl/zxulK/6ySH98t1DfO3N4oEsCACBgzGyM2raUffYIr18j6RpJysnpuQ1lnXNaUrRXg9g6hm7UlSbNfZLj9PevT9ZD7xbo3jc3avXOSj10xQka0S/JqzIBwCesFPJRSVWdMnrFcGpFEJs+NEOfnzBAD71bwJ5tAEAo2ykp+4DfB7Y/d9hrzCxKUoqk8vbfB0p6SdJXnXOFhxvAOTfLOZfvnMvPzMzs5vKDx/aKOu3Z38DWMQSFiAjT9acN0z++caKq6ps188H39eyS7Z2/EQA8RMLho5LKeppMh4CfnD9aibFR+tGLq2g6DQAIVYslDTOzPDOLkXSppNkHXTNbbY2kJekiSXOdc87Mekt6VdKtzrkFfqs4SC0pqpAkDUpjpRCCx9Qh6Xr1hpM0MTtVtzy/Uj94boXqGml/ACAwCIV8VFxZz3H0ISCjV6z+99xRWrx1r/6+cGugywEA4Ki19wi6XtIbktZJetY5t8bM7jCzC9ove0RSupkVSLpZUsex9ddLGirpNjNb3v7Tx88fIWgsKdqrpNgo9UkO617bCEJ9kuL0xDem6IbTh+mFj3e0n062P9BlAQhD9BTy0e6qeuXnpga6DPjgohMGas6qYv1izjqNzUpRfm6az+/tyh5xAAC6m3NujqQ5Bz132wGP6yVdfJj33SnpTs8LDBFLt+7VxEGpijALdCnAISIjTDefOVyTclN109PLdcED7+vuC8dp5oSD+8oDgHdYKeSD+qYW7a1tYqVQiDAz/e7SicrqHa9rn/hYJZX1gS4JAAD4WWVdkzaWVit/EF/qIbjNGJapV2+YobEDUnTj08v1oxdXcZouAL9hpZAPOkKFfinxAa4En+bgVT4zJ2Tpj+8V6gsPLdCVU3OVHB/NSh8AAHqYI63y3VBSLefawqGMXmwfQ3DrlxKnJ785Rb99c6P++G6hFm0u168vOu6oVrwDQFcQCvmgpKotFOpPo+mQ0jc5TpdPztGTi7bpj+8V6qtTBwW6JAAA4CfbKmoUYdLAVL7Ug391tR1BVGSEfnj2SM0YmqFbXlipi/+8UFdNy9P/nDVC8TGRXpQKAGwf80XHSqG+bB8LOcP7JumakwfLOac/vVeou19bp9JqtpMBANDTFZXXql9KnGKj+J9phJZpQzP0xk0n68tTBunRBVt0zv3ztGhzeaDLAtBDsVLIBx0rhTiSPjQN6B2vb58yVK+tLtbD8zbrrwu2amJ2b43qn6yctAQlxkYqKS5afZJita+2USnx0TIaUgIAELJaWp22761V/iC23iA0JcZG6eefH6tzxvXTD19YqS/N+lDnH9dfPzx7pLLTEgJdHoAehFDIByWV9UqKjVKvWP5xhaqU+GhdOilH0y5N12MLt2r59n16dsl21TYe2sQvLTFG47JSlD8oVen0IAAAIOQUV9apqcVpUDr/84zQNm1I26qhP723WbPmFerfa3brqpNydd2pQ5UcFx3o8gD0AKQcPiiprGeVUA+Rm5Gon35ujCSptdWpur5Z+xubVVXXpN1V9Xrh451aV1yl+ZvKtKBgjz47pp+mDUnnKNsu6uqeegAAjkVRea0kaVB6YoArAQ51tPOjhJgo3XzmcF02OVv3vLFRs+Zt1nNLduj6U4fq8ik5iotmiySAriMU8kFxFaFQTxQRYUpJiFZKQrSyesdrVP9k7dpXr6mD01VV16R/Lt+pOauKtb64Sl8+cRB/4QIAECKKKmrVOz5aKfGspEDP0T8lXr+9ZLyump6rX7y6Tne8slZ/nleo608dqksmZdM/C0CX0GjaByWVdepHk+mwkhwfra+cOEgXTsxSUXmt/vbBVjU0HbrVDAAABBfnnLaV1yiHrWPoocZmpeipa07Uk9+couzUBP3fy2t02j3v6amPtqmppTXQ5QEIMYRCnahvatHuqgYauoUhM1N+bpounZytHXtr9djCItU2Nge6LAAA8Cn21TWpqr5Zg5i7oYebNiRDz107VY9fPVmZSbH60YurdNpv39WzS7armXAIgI/YPtaJHXvb9qTnMLHoETrbw304Ywak6JL8bD2zeLtueX6l/nDZRE4nAwAgSBWV10iinxDCg5lpxrBMnTQ0Q+9uKNO9b27ULc+v1EPvFOiG04dp5oQsRUYwbwVwZKwU6sS2ivZQiCXIYe24gb115ui+emVlsf66YGugywEAAEewdU+tYqMi6AeJsGJmOnVkH82+froe/mq+4mOidPOzK3Tmfe9p9opdam11gS4RQJBipVAntpWzUghtTh6eKSfprjnrNG5giiblpnX5Xq3OaWFhuT4o3KO46EilxEdr6uB0Deub1H0FAwAQhraU12hQegInhyJkHcvprWamM0f31ekj++iNNSW6762NuuGpZXpg7ibddv4YnTQso7vLBRDiWCnUiaKKWiXERCo9MSbQpSDAIsz020vGa2BqvL7zj49VWlXfpfuUVTfoT+8V6tVVxUqJj1FKfLSKK+v12MKtWrljX/cWDQBAGKlpaFZZdYNy2TqGMBcRYTpnXH+9fuPJ+sNlE9XQ3KovP7JI1z35sYor6wJdHoAg4lkoZGaPmlmpma32agx/2F5Rq5y0BHrIQJKUHBetP375BFXXN+n6J5cd9QkPBaX7NWv+ZlXUNOpL+dn65ow8fXVqrm48fZhy0hL1zOLtWrK1wqPqAQDo2Tr6CeVlEAoBUls49LnxA/TGTSfr5jOH6621u3X6b9/TvI1lam6lGTUAb7eP/U3SA5L+7uEYnttWUcu3Tfgvo/on6+4Lx+l7z/x/e3ceH1V573H885uZbCQkIRDCFgiEfQcR3KHiQhUVr1pFbW2lbu11ae21i9dea1+29fa6VWtdqtXaVrSuuIsoICoKshMxLGEJWxJ2CGSb5/4xJxBiEoIkM5nM9/16DTnbzPx4XnPOPPM7z7KYP7y9gjsmDmzU89aW7OPyJ+ZiwLWn5ZLZNuHgvsQ4Pz84OYd/zF3Hq4s2cu3YXvTvlNpM/wMREZHWae22UgI+o2t6UqRDEWk2jZk4pXYXs8Q4PzeN78Ok4V25643lvLN8CwvW7+CC4V2VRBWJcc2WFHLOzTaznOZ6/XBwzrF+eymn9cmMdCjSwlw4ohuL1u/kyTkFdM9ow1Un5TR4/IbtpVz+xFwqg44pp/Q8LCFULc7v4zujsrn//Xx+/tJSXr7hJM0WISIichQKSvbRrV0bAn6NkCCxraHE0en9s+iclsTrSzbxxEdrGNm9HRMGdyIlQcPNisQifWM2oHhPGQcqgvTQzGNShzsmDuSMAVnc+fpyXlu0sd7jNu3cz+Qn5rKvvIp/TBlDVmr9s6EkJwQ4b2gXFm/Yyd8+LmiOsEVERFqlssoqNu/aT04H1dtEjmRA51RuGd+XsX0zWbRhB/dPz2fe2u0EnWYpE4k1EU8Kmdm1ZjbfzOYXFxdHOpzDVE9Hn62Zx6QOAb+Phy8fwfE5Gdz6wmL+9nEBVbWm+1xauIvLn5jLrtIKnp0ymoFdjtwlbGi3NE7v35F738uncEdpc4UvIiLSqqzfXkrQQU91+xdplPiAj7MHdeLG0/uQlZrIKws38sjMVawq2hvp0EQkjCLeRtA59zjwOMCoUaNaVGp6naajl1rqaoo7YVAndpaW85vX83hqTgE3ju9DUpyfT1aXMHXeBtonx/P01aMZ2i29Ue9hZvx20mDG3zuTP7y9gocvH9nU/w0REZFWZ21JKYbqbSJHKys1kWtO7cniwp28l7eVpz4uYGXRHn4+oT+Du6ZFOjwRaWYRTwq1ZOu3l2IG3dqpciH1S4zzc9WJOSwu3MkbSzZz24tLAAj4jCkn9+SmM/qQmhh3VK/ZNT2Ja0/L5U8zVvKDk7dzXI+M5ghdRESk1VhdvJeu7ZJIiPNHOhSRqGNmDM9ux+AuaXxWsJ1PVpcw8aE5TBzamevH5io5JNKKNVtSyMyeA8YBHcysEPgf59yTzfV+zWHD9lK6pCURH4h4Lztp4aq/SAd1CXX9OlBRRVpSHB0bGD/oSK4f24vn563nrtfzeOVHJ+PToNMiIiJ1OlBRReEOTQ4icqwCfh8n9+7A7y8awuOz1vDUxwW8sWQzo3MyuPqUHM4c2EkToYi0Ms2W7XDOTXbOdXbOxTnnukVbQghg3fZSsjM0pak0XpzfR3ZGG/pktT2mhBBAm/gAP5/Qn8WFu3h5Yf0DWYuIiMS6gpJ9BB307pgS6VBEWoXUxDh+dnY/Pv3leP773AFs3Lmf6/+xgLF//JDHZq1m+77ySIcoIk1ETWAasH57KT0yNFihRM6k4V0Z0T2d3731JTv05SsiIlKnVcV7ifObxhMSaWJpSXH88NRezPqvcTx65Ui6pCfx+7dXcMLvZnDL1IXMW7sdpxnLRKKakkL1ZGzOtAAAH2ZJREFU2F9eRfGeMrprOnqJIJ/P+N2FQ9i9v4LfvfVlpMMRERFpkVYX7SWnfTIBv6q2Is0h4PcxYXBnXrjuRN695TQmj85mxpdFXPLop5z9wGxemLeB8spgpMMUkW9A35z10HT00lIM6JzKD0/txb+/KOTT1dsiHY6IiEiLsnt/BUV7ytR1TCRM+nVqy28uGMxnt4/nnouGEPD5uO2lJYz944c8OaeA0vLKSIcoIkdBSaF6fLV1DwC9M1XBkMi7eXwfsjOSuO2lxewsVTcyERGRaquL9wKQqzqbSFi1iQ9w6fHdefOmU3jm6tFkZ7Tht2/kcfIfPuChGSuVHBKJEpqSvh55m3YT5zfddZIWISnezwOXjmDy43O58bmFnHWEmR8uH9M9jNGJiIhEzqqivbSJ99Mp7dgmeBCRxvvXZ+u/tm3S8K6MyE5nVn4x907P59m56/jZ2f24aGQ3zVgm0oKppVA98jbvpk/HtpqOXlqM43q047eTBvHRyhLeXb4l0uEctQMVVXy6uoSlG3epz7mIiDSJYNCxqmgvuZkp+Ew/OkUirUf7ZL53Yg7XndaLLulJ3PbiEs57aA6frCqJdGgiUg+1FKpH3qbdjOuXGekwRA5z6fHdWb5pN3//dB0Bn3HmwCyshVeCg84xd802PlhRRGl5FQBxfmNMz/ZMHp3d4uMXEZGWa3HhTvaUVdK/U9tIhyLSqtTVEuho9GifzC++3Z/Xl2zmnrdXcPlfP+OMAVncMXEAPdprdmeRlkTNYOpQtOcAJXvLGNg5NdKhiHzNrycO5PicdszML+bFLwqpDLbcVjfOOV5duJE3lmymU2oiN4zNZcopPRnUJY05q0p4ZObqSIcoIiJR7L28rfgM+ndSnU2kpTEzzh/WhRm3juXnE/rz6eoSzrxvNn98dwX7yjTekEhLoZZCdcjbtBuAgV1UwZCjd6x3Vo4k4PcxaXhX0pLieP/LIor2lHHxcd3ISm15YynMzC9m/rodjOubeVirpl4dkgk6xx/f/YrczGQmDO4c4UhFRCQavbd8Cz07JJMU7490KCJSj8Q4PzeMy+U/RnblnrdX8OcPV/PiF4X86pwBnD+si1qNi0SYWgrVIW9zKCk0QC2FpIUyM07vn8Xlo7uzo7Schz9cxcyviqisajmthl5btJHpeVsZnp3+tW5uZsZFI7sxPDudnzy/mA3bSyMYqYiIRKNVRXtZXbxPLbtFokRWaiL3XTqcl244iY5tE7l56iIuefRTlm3cFenQRGKakkJ1yNu0m27tkkhLiot0KCINGtw1jVvO6Ev/Tm15L28rD85YSf7WPZEOi/yte/j5S0vo2SGZ/xjZtc47QHF+H49cMRJHqMWQiIjI0ZietxXQTTyRaHNcj3a89uOTueeiIRSU7OO8h+fwy5eXsm1vWaRDE4lJ6j5Wh7zNu3XXSaJGSkKAK8b0IH/rHl5fvImnP1nLxp37+fXEgWRntAl7PKXllfz4nwtISYjjsuOzCfjqzz13SU/imlN78dAHq7j6lJ4Mz04PY6QiIhLN3svbwpCuaaS3iY90KCJShyMNqXD5mO5MGNyZP81YyTOfrOXNJZu45Yy+XHlCj0bNAN2YIRsuH9O90fGKxCq1FKqltLySgpJ9Gk9Iok7frLbcPL4PZw/qxMerSjjjvlncPz2fAxVVYYvBOccdry5nVfFeHrxsOG0Tj9za7rqxuXRIiefuN/NwzoUhShERiXZFuw+wcP1OzhqYFelQROQYpCXFccfEgbx986kMy07nrjfyGH/fTF5btJFgUPVCkXBQUqiWFVv24BxqKSRRKeD3MbZvJjNuHctZgzrx4IyVnHHfLN5dviUsCZcnPlrDSwsKuXl8H07u3aFRz0lJCPCTM/syb+0O3vO6AoiIiDTklYUbAfj2EE1UINIa9Mlqy9+vHs0zV48mJSGOm6cuYuJDc5idX6ybhiLNTN3HatHMY9IadE5L4qHJI7h8dHfunLac6579grF9M/mf8wbSKzOlWd7znWVb+P3bKzh3aGduOr3PUT330lHZPPlRAfdPz+fMAVn4fJqFQkRE6uac4/n5GxjVox29O6bwecH2SIckIt9Afd2/rhjTnSWFO/lk9Ta+99TnjM7J4MbxvTmldwfNVCbSDNRSqJb5a7eTkRxP1/SkSIcicsxOzG3PGzedwq8nDmTBuh2cef9sfvr8oiYfjHpWfjG3PL+Q4dnp3HvJsKNO6gT8Pm4c35sVW/bwXt6WJo1NRERal/nrdrCmeB/fOT470qGISDPwmTE8ux0zbh3LnecNZP32Ur775Odc+MgnfLBiq1oOiTQxJYVqqAo6ZuUXM7ZvprLQ0mrE+X1cfUpPPvjZOL5/Ug5vL9vCWffP5pJHP+Gfn62jeM83n+nBOcdjs1bzg799Tk77ZB7/7igS4/zf6LXOG9qFXh2SeeD9lepDLiIi9Zr6+QZSEgKcq65jIq1aQsDP90/uyazbxnH3hYMp2VvG1U/PZ+JDc3jpi0IqqoKRDlGkVVD3sRoWbdjJjtIKvtW/Y6RDETkm9TXHzc1M4adn9mXe2u2sKdnH7a8s4/ZXltErM5mR3dvRKzOZnPahx2cF20gI1J3gqQo62iXH8cwna5m3dgfnDu3MHy8eSpv4b35JCfh93DS+D7c8v4h3l2/ROBEiIvI1uw9U8NbSzUwa0ZXkBFVjRVqzmvVZw7jutFwWb9jJrJXF3PrvxbSJ93N8Tgaje2bQTrMQinxj+jat4cMVRfh9xtg+mZEORWJcY6bY/KaSEwKM69eRx76bTd7m3cxZWcLnBduZ+VUxL35ReNixSXF+2iYGaBMfIM5vmMHO0gp2lJZTUeXIzkjit5MGc+WY7k3Suu68YV340wcruW96PmcOzCLgV2NGERE55LVFm9hfUcWl6jomEnP8PmNkj3aM6J7OmpJ9fLp6G7Pzi5mdX0zfrLaM6J7OgM6pxKn+KHJUlBSq4YMVRRzXvR1pbY48jbZItDMzBnVJY1CXNK4bmwvA3rJK1pbsY922Ul5btJFd+yvYW1ZJaXkVByqqCDpon5JAn44pTDm1J2P7dsTfhINC+33GbWf34/p/LOCF+YVcPqZ7k722iIhEt/LKII/OXM3QbmkM65YW6XBEJELMjNzMFHIzU9hZWs7nBdtZsH4HX83bQ0LAx5CuaQzvnk5O++RIhyoSFZQU8mzZdYC8zbv5+YT+kQ5FJGJSEgIM7prG4K5p7Npf0eCxp/fPapYYzh7UieNz2nHf9HzOH96FFHUPEBER4IX5G9i4cz93XzhYYz+KCADpbeI5a1AnzhiYxZrifSxcv4MlhbuYv24HqYkB8rfuYcLgTozOyVALdJF66NeW58OvigA4XeMJiUSUmfGrcwZw4SOf8Pis1fz0rH6RDklERCLsQEUVD32wkuN6tGNsX3XzF5HD+czo3TGF3h1TuKAyyJebd7Ns0y5emL+Bv3+6jozkeM4ckMWEIZ04ObcD8QEliESqKSnk+WBFEV3Tk+iblRLpUETC4ljHLWrOcY9GdG/HecO68PhHa5g0oiu9MnVeiojEsn9+tp6tu8u4/9LhaiUkIg2KD/gYlp3OsOx0Jo3owuz8Yt5etoU3l27m+fkbaJsY4LQ+mYztm8lpfTPplJYY6ZBFIkpJIWD9tlI+XFHEVSflqKIh0kLcfs4APlpZzM1TF/HSDSfpjo6ISIzavGs/f5qxkhN7teek3A6RDkdEokib+AATBndmwuDOlFVW8cmqbbyzbAsz84t4c+lmAPp3astpfTMZnZPBqJx2pGsmM4kxSgoBD32wEp/PuPa0XpEORUQ8ndISueeioVz37Bfc+95X/PKcAZEOSUREwqwq6PjJ84uoqApy94WDIx2OiESxhICfb/XvyLf6d8Q5x1db9zDrq2Jm5Rfzt48LeHz2GgD6ZqUwKieDEdnpDOqSRu+OKbo5Ka1azCeFCkr28fLCjVx1Yg5ZqWo6KNKSnD2oE1eM6c5js9cwtFs65w7tHOmQREQkjB6dtZq5a7bzvxcPVVdiETlqRxru4LqxuVw3NpcDFVUs3rCTeWu38/naHUxbtOngc+P9PvpkpTCoSyoDO6cyqGsafbPakpakGauldYj5pNBDM1YS5zeuH6dWQiIt0R0TB7Jiyx5ufG4Bew4M4bLRmqZeRCQWvLV0M/dNz2fi0M5ccly3SIcjIq1Q7aRRRnICEwZ14qyBWZTsLaNnh2TyNu8mb9Nu3v+yiBfmFx48tkNKArmZyfTKTCE3M5nczBRyM1Pokp6omc4kqsR0UmhWfjGvLtrINaf2omNbtRISaYkS4/w8O2U0N/xjAb94eSkFJfv4z9N70zZRd2dERFqr5z5fz+2vLGVk93b8/j+GaMxHEQkrnxkd2yayr6yKHhnJ9MhIZsKgTuw+UMnmnfsp2lNG8Z4yKoOOt5dtZmdpRY3nQlZqIp3TEumSnkSX9CQ6pyXSOS2JzLbxtGsTeqQmxeH32RFbM10+RjdEpXk1a1LIzCYADwJ+4K/OuT805/sdjTkrS7jm7/Pp3ymVH32rd6TDEZEGtIkP8MT3RnHHq8t4bPYa/v1FIdec2osJgzuR076NfiyISKtzpDqUmSUAfweOA7YBlzrn1nr7fglMAaqAm5xz74Yx9GOyq7SC+6Z/xTOfrmNcv0z+csVxJMX7Ix2WiAhmRlpSHGlJcfSvNaLBvrJKiveUUbK3jB2l5ezaX8HO0gq27yvnvbytlFcG63g9SEuKw29Gm3g/beIDJMb5SIr3kxjnJ8l7ZCTHkZoYR6r33qmJcbRNDODzqf4rTcOcc83zwmZ+IB84EygE5gGTnXN59T1n1KhRbv78+c0ST7XyyiAvLSjkN68vJ6d9Ms9dcwLtkr/ZCPPNOSW3iITUvjuypHAn97yzgo9XbQOgW7sk+mW1JTujDZltE0hJCIQeiaG/cX4fAb8R7/0N+HwHl31mmIW+lA3DZ6EvfJ+3bj4wam3zjveZEfCZElIiR8nMvnDOjYp0HC1ZY+pQZvYjYKhz7nozuwy40Dl3qZkNBJ4DRgNdgPeBvs65qvreLxz1ryMp2n2A1xZt4pGZq9i1v4LvntCD288d2KjBXVUfE5GWzDnHvvIqdu2vYF9ZJaXllZSWV7GvrOrg8v7yKvZXeI/yKg5UVNHQr3QzSEkIHEwSpSXFkZp0aD01KY7UxID311tPCtWN4wM+Evx+4gM+4gM+/EouxYz66mDN2VJoNLDKObfGC2AqcAFQb1KoOTjn2Lq7jGUbd7G4cCf/nl/Ilt0HGNE9nb9+b9Q3TgiJSGQM7ZbOP394Auu27WN2fjFT521g+abdfLSqpM67MM3JZxy8k5MY5z90dyfgJyneT4L3NynOV+u4Gtvi/cT7fXw9t1TXF7Qj6CDoHO4IfwF8vlDiyu8LJcBq/vX7qhNbPnw+8Ffv99nBZX+t5/rNQsf6Dq3Xfs6h90EJM5FvrjF1qAuAO73lF4GHLXTSXQBMdc6VAQVmtsp7vU/DFHu9qoKOAxVV7NxfwdbdB9iwvZS8TbtZ6A3u6hyc0CuDX08cxMAuqZEOV0SkSZjZwZuWjRV0jvLKIPsrQgmi6kRRKHEUPGy9fXI8u/ZXUFCyj137K9i1v4IDFY2vE/t9oZun1UmieL+PhMCh9Ti/7+D+hICPhBr12MQ4P4netoN14RrLcX7fYfXKuuqM1XXS2nXPhm7a+swwaPgGr+qhjdacSaGuwIYa64XAmGZ8vzqtLt7HGffNAkI/4Mb0bM//XjyUU/t00AdFJAo0dAfY7/NxxZgeQCgBXBl0lFUGKauoCv2tDFIVdIcezhGssYyDoHcfxluluvXkkdaDDqqCQSqqHOVVQSqrgpRXOSqrgmwvL6did5DKYOgLvaIqiM9n7C8PxRUrqhNH1Zfag3+psY1DX9p28J9DKTGz+o89dAm3g69/6Hmh9/n69kPX/Zpx1XVsLLv0+O7cMC430mHEssbUoQ4e45yrNLNdQHtv+9xaz+3afKHW79WFG7n7rS854P2oqaj6+n3veL+Pfp3actPpfThvWGd6d2wbgUhFRFoWn9nBpMs3URkMcqAiePD6e6AilGAqq6ii0qsLVwYdlcEgVVXVy46qYJDKKnfwmAMVVewtqzx4TFXQUVEV9B6h59d1bW8pqlv3VyeQMA4ml3xWc5sddqwdXD9UR6x+vcNe/7D3qrsGWXPzYcu1apzV++69ZBijcjKO/j97DCI+0LSZXQtc663uNbOvmvP9CoCp3+ypHYCSpoxFVKbNQGXatFSeTU9l2vSavExnAT9qyhc8XI/me2lprHDXvxqyEngD+GnDh+naUT+VTf1UNvVT2dRPZVM/lU39mqRsjr+tCSKpX511sOZMCm0Esmusd/O2HcY59zjweDPG0STMbL7GQGhaKtOmpzJtWirPpqcybXoq01apMXWo6mMKzSwApBEacLpV1b+q6XNeP5VN/VQ29VPZ1E9lUz+VTf2iuWyOPHrfNzcP6GNmPc0sHrgMmNaM7yciIiLSGjSmDjUNuMpbvhj4wIX6t04DLjOzBDPrCfQBPg9T3CIiIhJlmq2lkNe//T+BdwlNp/qUc255c72fiIiISGtQXx3KzO4C5jvnpgFPAs96A0lvJ5Q4wjvuBUKDUlcCP25o5jERERGJbc06ppBz7i3greZ8jzCKmibWUURl2vRUpk1L5dn0VKZNT2XaCtVVh3LO/brG8gHgknqeezdwd7MGGH76nNdPZVM/lU39VDb1U9nUT2VTv6gtG6ueSUdERERERERERGJHc44pJCIiIiIiIiIiLZSSQrWY2QQz+8rMVpnZL+rYn2Bmz3v7PzOznPBHGV0aUaY/NbM8M1tiZjPMTNMVN+BI5VnjuIvMzJlZVI6CH06NKVMz+473OV1uZv8Kd4zRphHnfXcz+9DMFnrn/jmRiDNamNlTZlZkZsvq2W9m9ievvJeY2chwxyjSVMws27s+VF9zb/a2Z5jZdDNb6f1tF+lYw83MEs3sczNb7JXNb7ztPb166Sqvnhof6Vgjwcz83vfKG966ygUws7VmttTMFpnZfG9bzJ9PAGaWbmYvmtkKM/vSzE5U2YCZ9fM+L9WP3WZ2i8omxMx+4l2Dl5nZc961OWqvN0oK1WBmfuDPwLeBgcBkMxtY67ApwA7nXG/gfuCe8EYZXRpZpguBUc65ocCLwP+GN8ro0cjyxMzaAjcDn4U3wujTmDI1sz7AL4GTnXODgFvCHmgUaeTn9L+BF5xzIwgNkPtIeKOMOk8DExrY/21Cs0z1Aa4F/hKGmESaSyVwq3NuIHAC8GPvGvILYIZzrg8ww1uPNWXA6c65YcBwYIKZnUCoPnq/Vz/dQai+GotuBr6ssa5yOeRbzrnhNabM1vkU8iDwjnOuPzCM0Ocn5svGOfeV93kZDhwHlAKvoLLBzLoCNxH6/TqY0IQQlxHF1xslhQ43GljlnFvjnCsHpgIX1DrmAuAZb/lFYLyZWRhjjDZHLFPn3IfOuVJvdS7QLcwxRpPGfEYBfkvownQgnMFFqcaU6TXAn51zOwCcc0VhjjHaNKZMHZDqLacBm8IYX9Rxzs0mNMNUfS4A/u5C5gLpZtY5PNGJNC3n3Gbn3AJveQ+hH2ldObwO9gwwKTIRRo53ju/1VuO8hwNOJ1QvhRgtGzPrBpwL/NVbN1QuDYn588nM0oDTCM3miHOu3Dm3E5VNbeOB1c65dahsqgWAJDMLAG2AzUTx9UZJocN1BTbUWC/0ttV5jHOuEtgFtA9LdNGpMWVa0xTg7WaNKLodsTy9biPZzrk3wxlYFGvMZ7Qv0NfMPjazuWbWUIsNaVyZ3glcaWaFhGZYujE8obVaR3utFYkKFuqmP4JQy9cs59xmb9cWICtCYUWU10VqEVAETAdWAzu9einE7vn/AHAbEPTW26NyqeaA98zsCzO71tum8wl6AsXA37xuh381s2RUNrVdBjznLcd82TjnNgL/B6wnlAzaBXxBFF9vlBSSFsPMrgRGAX+MdCzRysx8wH3ArZGOpZUJEOqWMw6YDDxhZukRjSj6TQaeds51A84BnvU+vyIiAJhZCvAScItzbnfNfS40fW5MTqHrnKvyunR0I9Qys3+EQ4o4M5sIFDnnvoh0LC3UKc65kYS6Gv/YzE6ruTOGz6cAMBL4i9edfR+1ukPFcNkA4I2Lcz7w79r7YrVsvHGULiCUVOwCJNNwF/8WTxXww20Esmusd/O21XmM11wsDdgWluiiU2PKFDM7A7gdON85Vxam2KLRkcqzLTAYmGlmawmNxTDNNNh0QxrzGS0EpjnnKpxzBUA+oSSR1K0xZToFeAHAOfcpkAh0CEt0rVOjrrUi0cLM4gglhP7pnHvZ27y1uluk9zemu/J63Vw+BE4k1GU04O2KxfP/ZOB8r+4zlVA3jgdRuQAHWzZUd39/hVAyUedTqH5X6JyrHoPzRUJJIpXNId8GFjjntnrrKhs4AyhwzhU75yqAlwldg6L2eqOk0OHmAX28kcPjCTWVm1brmGnAVd7yxcAHXpZU6nbEMjWzEcBjhBJCsXhhORoNlqdzbpdzroNzLsc5l0NojKbznXPzIxNuVGjMef8qoVZCmFkHQt3J1oQzyCjTmDJdT6iPOmY2gFBSqDisUbYu04DvWcgJwK4azbtFooo3FsyTwJfOuftq7KpZB7sKeC3csUWamWVWt1Q1syTgTEJjLn1IqF4KMVg2zrlfOue6eXWfywjVz68gxssFwMySvQlI8LpGnQUsQ+cTzrktwAYz6+dtGg/kobKpaTKHuo6BygZCddgTzKyN931V/bmJ2uuNKZ9xOAtNi/wAoVHEn3LO3W1mdwHznXPTzCwReJZQ//btwGXOOf04bEAjyvR9YAihPpkA651z50co3BbvSOVZ69iZwM+UFGpYIz6jBtxLqGloFXC3c25q5CJu+RpRpgOBJ4AUQk2Pb3POvRe5iFs2M3uOUGKyA7AV+B9CA8zinHvU+4w+TOgzWgr8QOe9RCszOwX4CFjKofFhfkVoXKEXgO7AOuA7zrmGBmBvdcxsKKEBTP2Ebu6+4Jy7y8x6EWohk0FoVtcrY7XltZmNI1T3mahyAa8MXvFWA8C/vO/k9sT4+QRgZsMJDU4eT+iG3w/wzi1UNsmEEiC9nHO7vG363ABm9hvgUkKzZS4EfkhoDKGovN4oKSQiIiIiIiIiEoPUfUxEREREREREJAYpKSQiIiIiIiIiEoOUFBIRERERERERiUFKComIiIiIiIiIxCAlhUREROSIzOwpMysys2WNPP47ZpZnZsvN7F/NHZ+IiIiIHD0lhURERKQxniY05f0RmVkf4JfAyc65QcAtzRiXiIjUYmaTzMyZWf8a20ab2UwzW2lmC8zsTTMb4u2708w2mtmiGo/0yP0PRCRclBQSkXqZ2d46tt1pZj/zlp82s1Iza1tj/wNeJaRD9WuY2ZAaFYztZlbgLb9fz/vmmNl+75jFZvaJmfWrdcwDXuXFV2Pb983s4ab6/4vIIc652cD2mtvMLNfM3jGzL8zsoxo/Pq4B/uyc2+E9tyjM4YqIxLrJwBzvL2aWBbwA/Mo518c5NxL4PZBb4zn3O+eG13jsDHvUIhJ2SgqJyLFaBVwA4CVoTgc21jzAObe0uoIBTAP+y1s/o4HXXe0dMwx4BvhV9Q7vfS4ENgBjm/R/IyJH43HgRufcccDPgEe87X2Bvmb2sZnNNbNGtTASEZFjZ2YpwCnAFOAyb/N/As845z6pPs45N8c592oEQhSRFkRJIRE5VlOBS73lccDHQGUTv0cqsKPG+jhgOfAXvDtgIhJe3o+Ok4B/m9ki4DGgs7c7APQhdK5OBp5QNwQRkbC5AHjHOZcPbDOz44BBwIIjPO8nNVp2f9jsUYpIixCIdAAiEvXygfPNrB2hH3//AL7dBK+b6/3QbAu0AcbU2DcZeA54DfidmcU55yqa4D1FpPF8wE6vBWBthcBn3nlZYGb5hJJE88IZoIhIjJoMPOgtT6WOG2hm9hmhm27vOedu9jbf75z7v/CEKCIthVoKiUhTeJlQ8+QxwEdN9JrV3cdyCQ1S+ziAmcUD5wCvOud2A58BZzfRe4pII3nnX4GZXQJgIcO83a8SaiWEN75YX2BNJOIUEYklZpZBqCv/X81sLfBfwHcItbAeWX2cc24McAeQFoEwRaQFUVJIRJrC88BvgenOuWAzvP404DRv+WwgHVjqVXZOQV3IRJqdmT0HfAr0M7NCM5sCXAFMMbPFhH5wXOAd/i6hLgt5wIeExhHbFom4RURizMXAs865Hs65HOdcNlAATAe+b2Yn1Ti2TUQiFJEWRd3HROSYOefWmdntQJ2ziTWBU4DV3vJk4IfOuecAzCyZUGsFVWxEmpFzrr7k69cGkXbOOeCn3kNERMJnMnBPrW0vedsvBe4xs65AEVAC3FXjuJ+Y2ZU11ic559Y2Y6wi0gIoKSQiDWljZoU11u+r70Dn3GNN/N7VYwoZUA780Ev8TACur/G++8xsDnCet+n7Zjapxuuc4Jyr+X8QERERaZWcc9+qY9ufaqzWOWurc+5O4M7miUpEWjIL3cwTEREREREREZFYojGFRERERERERERikLqPiUjEmNkQ4Nlam8u8GTFERERERESkGan7mIiIiIiIiIhIDFL3MRERERERERGRGKSkkIiIiIiIiIhIDFJSSEREREREREQkBikpJCIiIiIiIiISg5QUEhERERERERGJQf8PO3UhNAkrJe0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1440x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 729
        },
        "id": "xH11vF6V35Qf",
        "outputId": "01ba26b2-ba90-4a03-a81e-64fd8035f1fc"
      },
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "sns.heatmap(df.corr());"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ujIqWR8L8zos"
      },
      "source": [
        "## Research questions\n",
        "\n",
        "National consumer protection agencies enforces equal credit opportunity laws in different countries, which generally prohibits credit discrimination on the basis of sex, marital status or age.\n",
        "\n",
        "- Is there a correlation between sex, age, mariages and the credit approval status? \n",
        "\n",
        "- Can this relationship be used to predict if a person is in risk of default(grant credit status)?\n",
        " \n",
        "- If yes, does the relationship indicate reasonable risk management strategies?\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iLN4A2G58d6p"
      },
      "source": [
        ""
      ],
      "execution_count": 4,
      "outputs": []
    }
  ]
}