credit-card-data-analysis (2).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
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   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "# import numpy as np # linear algebra\n",
    "# import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "# import os\n",
    "# for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "#     for filename in filenames:\n",
    "#         print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [],
   "source": [
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.preprocessing import StandardScaler, normalize\n",
    "from sklearn.decomposition import PCA\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_cc = pd.read_csv('C:/Users/Vikash/Documents/Python Scripts/Data_Mining/CC GENERAL.csv')\n",
    "df_cc = pd.read_csv('/kaggle/input/creditcarddata/CC GENERAL.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CUST_ID</th>\n",
       "      <th>BALANCE</th>\n",
       "      <th>BALANCE_FREQUENCY</th>\n",
       "      <th>PURCHASES</th>\n",
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       "      <th>CASH_ADVANCE</th>\n",
       "      <th>PURCHASES_FREQUENCY</th>\n",
       "      <th>ONEOFF_PURCHASES_FREQUENCY</th>\n",
       "      <th>PURCHASES_INSTALLMENTS_FREQUENCY</th>\n",
       "      <th>CASH_ADVANCE_FREQUENCY</th>\n",
       "      <th>CASH_ADVANCE_TRX</th>\n",
       "      <th>PURCHASES_TRX</th>\n",
       "      <th>CREDIT_LIMIT</th>\n",
       "      <th>PAYMENTS</th>\n",
       "      <th>MINIMUM_PAYMENTS</th>\n",
       "      <th>PRC_FULL_PAYMENT</th>\n",
       "      <th>TENURE</th>\n",
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       "  </thead>\n",
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       "      <td>40.900749</td>\n",
       "      <td>0.818182</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>7000.0</td>\n",
       "      <td>4103.032597</td>\n",
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       "      <td>773.17</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>622.066742</td>\n",
       "      <td>627.284787</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
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       "      <td>0.636364</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>205.788017</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
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       "      <td>817.714335</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>678.334763</td>\n",
       "      <td>244.791237</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1333.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1333.28</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.583333</td>\n",
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       "      <td>0</td>\n",
       "      <td>8</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>7091.01</td>\n",
       "      <td>6402.63</td>\n",
       "      <td>688.38</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>13500.0</td>\n",
       "      <td>6354.314328</td>\n",
       "      <td>198.065894</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>436.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>436.20</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>679.065082</td>\n",
       "      <td>532.033990</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "      <th>8</th>\n",
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       "      <td>1.000000</td>\n",
       "      <td>861.49</td>\n",
       "      <td>661.49</td>\n",
       "      <td>200.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>688.278568</td>\n",
       "      <td>311.963409</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>C10010</td>\n",
       "      <td>152.225975</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>1281.60</td>\n",
       "      <td>1281.60</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>1164.770591</td>\n",
       "      <td>100.302262</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
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       "  CUST_ID      BALANCE  BALANCE_FREQUENCY  PURCHASES  ONEOFF_PURCHASES  \\\n",
       "0  C10001    40.900749           0.818182      95.40              0.00   \n",
       "1  C10002  3202.467416           0.909091       0.00              0.00   \n",
       "2  C10003  2495.148862           1.000000     773.17            773.17   \n",
       "3  C10004  1666.670542           0.636364    1499.00           1499.00   \n",
       "4  C10005   817.714335           1.000000      16.00             16.00   \n",
       "5  C10006  1809.828751           1.000000    1333.28              0.00   \n",
       "6  C10007   627.260806           1.000000    7091.01           6402.63   \n",
       "7  C10008  1823.652743           1.000000     436.20              0.00   \n",
       "8  C10009  1014.926473           1.000000     861.49            661.49   \n",
       "9  C10010   152.225975           0.545455    1281.60           1281.60   \n",
       "\n",
       "   INSTALLMENTS_PURCHASES  CASH_ADVANCE  PURCHASES_FREQUENCY  \\\n",
       "0                   95.40      0.000000             0.166667   \n",
       "1                    0.00   6442.945483             0.000000   \n",
       "2                    0.00      0.000000             1.000000   \n",
       "3                    0.00    205.788017             0.083333   \n",
       "4                    0.00      0.000000             0.083333   \n",
       "5                 1333.28      0.000000             0.666667   \n",
       "6                  688.38      0.000000             1.000000   \n",
       "7                  436.20      0.000000             1.000000   \n",
       "8                  200.00      0.000000             0.333333   \n",
       "9                    0.00      0.000000             0.166667   \n",
       "\n",
       "   ONEOFF_PURCHASES_FREQUENCY  PURCHASES_INSTALLMENTS_FREQUENCY  \\\n",
       "0                    0.000000                          0.083333   \n",
       "1                    0.000000                          0.000000   \n",
       "2                    1.000000                          0.000000   \n",
       "3                    0.083333                          0.000000   \n",
       "4                    0.083333                          0.000000   \n",
       "5                    0.000000                          0.583333   \n",
       "6                    1.000000                          1.000000   \n",
       "7                    0.000000                          1.000000   \n",
       "8                    0.083333                          0.250000   \n",
       "9                    0.166667                          0.000000   \n",
       "\n",
       "   CASH_ADVANCE_FREQUENCY  CASH_ADVANCE_TRX  PURCHASES_TRX  CREDIT_LIMIT  \\\n",
       "0                0.000000                 0              2        1000.0   \n",
       "1                0.250000                 4              0        7000.0   \n",
       "2                0.000000                 0             12        7500.0   \n",
       "3                0.083333                 1              1        7500.0   \n",
       "4                0.000000                 0              1        1200.0   \n",
       "5                0.000000                 0              8        1800.0   \n",
       "6                0.000000                 0             64       13500.0   \n",
       "7                0.000000                 0             12        2300.0   \n",
       "8                0.000000                 0              5        7000.0   \n",
       "9                0.000000                 0              3       11000.0   \n",
       "\n",
       "      PAYMENTS  MINIMUM_PAYMENTS  PRC_FULL_PAYMENT  TENURE  \n",
       "0   201.802084        139.509787          0.000000      12  \n",
       "1  4103.032597       1072.340217          0.222222      12  \n",
       "2   622.066742        627.284787          0.000000      12  \n",
       "3     0.000000               NaN          0.000000      12  \n",
       "4   678.334763        244.791237          0.000000      12  \n",
       "5  1400.057770       2407.246035          0.000000      12  \n",
       "6  6354.314328        198.065894          1.000000      12  \n",
       "7   679.065082        532.033990          0.000000      12  \n",
       "8   688.278568        311.963409          0.000000      12  \n",
       "9  1164.770591        100.302262          0.000000      12  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cc.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BALANCE</th>\n",
       "      <th>BALANCE_FREQUENCY</th>\n",
       "      <th>PURCHASES</th>\n",
       "      <th>ONEOFF_PURCHASES</th>\n",
       "      <th>INSTALLMENTS_PURCHASES</th>\n",
       "      <th>CASH_ADVANCE</th>\n",
       "      <th>PURCHASES_FREQUENCY</th>\n",
       "      <th>ONEOFF_PURCHASES_FREQUENCY</th>\n",
       "      <th>PURCHASES_INSTALLMENTS_FREQUENCY</th>\n",
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       "      <th>count</th>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8949.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8637.000000</td>\n",
       "      <td>8950.000000</td>\n",
       "      <td>8950.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1564.474828</td>\n",
       "      <td>0.877271</td>\n",
       "      <td>1003.204834</td>\n",
       "      <td>592.437371</td>\n",
       "      <td>411.067645</td>\n",
       "      <td>978.871112</td>\n",
       "      <td>0.490351</td>\n",
       "      <td>0.202458</td>\n",
       "      <td>0.364437</td>\n",
       "      <td>0.135144</td>\n",
       "      <td>3.248827</td>\n",
       "      <td>14.709832</td>\n",
       "      <td>4494.449450</td>\n",
       "      <td>1733.143852</td>\n",
       "      <td>864.206542</td>\n",
       "      <td>0.153715</td>\n",
       "      <td>11.517318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2081.531879</td>\n",
       "      <td>0.236904</td>\n",
       "      <td>2136.634782</td>\n",
       "      <td>1659.887917</td>\n",
       "      <td>904.338115</td>\n",
       "      <td>2097.163877</td>\n",
       "      <td>0.401371</td>\n",
       "      <td>0.298336</td>\n",
       "      <td>0.397448</td>\n",
       "      <td>0.200121</td>\n",
       "      <td>6.824647</td>\n",
       "      <td>24.857649</td>\n",
       "      <td>3638.815725</td>\n",
       "      <td>2895.063757</td>\n",
       "      <td>2372.446607</td>\n",
       "      <td>0.292499</td>\n",
       "      <td>1.338331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019163</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>128.281915</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>39.635000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>383.276166</td>\n",
       "      <td>169.123707</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>873.385231</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>361.280000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>856.901546</td>\n",
       "      <td>312.343947</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2054.140036</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1110.130000</td>\n",
       "      <td>577.405000</td>\n",
       "      <td>468.637500</td>\n",
       "      <td>1113.821139</td>\n",
       "      <td>0.916667</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>6500.000000</td>\n",
       "      <td>1901.134317</td>\n",
       "      <td>825.485459</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>19043.138560</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>49039.570000</td>\n",
       "      <td>40761.250000</td>\n",
       "      <td>22500.000000</td>\n",
       "      <td>47137.211760</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>123.000000</td>\n",
       "      <td>358.000000</td>\n",
       "      <td>30000.000000</td>\n",
       "      <td>50721.483360</td>\n",
       "      <td>76406.207520</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            BALANCE  BALANCE_FREQUENCY     PURCHASES  ONEOFF_PURCHASES  \\\n",
       "count   8950.000000        8950.000000   8950.000000       8950.000000   \n",
       "mean    1564.474828           0.877271   1003.204834        592.437371   \n",
       "std     2081.531879           0.236904   2136.634782       1659.887917   \n",
       "min        0.000000           0.000000      0.000000          0.000000   \n",
       "25%      128.281915           0.888889     39.635000          0.000000   \n",
       "50%      873.385231           1.000000    361.280000         38.000000   \n",
       "75%     2054.140036           1.000000   1110.130000        577.405000   \n",
       "max    19043.138560           1.000000  49039.570000      40761.250000   \n",
       "\n",
       "       INSTALLMENTS_PURCHASES  CASH_ADVANCE  PURCHASES_FREQUENCY  \\\n",
       "count             8950.000000   8950.000000          8950.000000   \n",
       "mean               411.067645    978.871112             0.490351   \n",
       "std                904.338115   2097.163877             0.401371   \n",
       "min                  0.000000      0.000000             0.000000   \n",
       "25%                  0.000000      0.000000             0.083333   \n",
       "50%                 89.000000      0.000000             0.500000   \n",
       "75%                468.637500   1113.821139             0.916667   \n",
       "max              22500.000000  47137.211760             1.000000   \n",
       "\n",
       "       ONEOFF_PURCHASES_FREQUENCY  PURCHASES_INSTALLMENTS_FREQUENCY  \\\n",
       "count                 8950.000000                       8950.000000   \n",
       "mean                     0.202458                          0.364437   \n",
       "std                      0.298336                          0.397448   \n",
       "min                      0.000000                          0.000000   \n",
       "25%                      0.000000                          0.000000   \n",
       "50%                      0.083333                          0.166667   \n",
       "75%                      0.300000                          0.750000   \n",
       "max                      1.000000                          1.000000   \n",
       "\n",
       "       CASH_ADVANCE_FREQUENCY  CASH_ADVANCE_TRX  PURCHASES_TRX  CREDIT_LIMIT  \\\n",
       "count             8950.000000       8950.000000    8950.000000   8949.000000   \n",
       "mean                 0.135144          3.248827      14.709832   4494.449450   \n",
       "std                  0.200121          6.824647      24.857649   3638.815725   \n",
       "min                  0.000000          0.000000       0.000000     50.000000   \n",
       "25%                  0.000000          0.000000       1.000000   1600.000000   \n",
       "50%                  0.000000          0.000000       7.000000   3000.000000   \n",
       "75%                  0.222222          4.000000      17.000000   6500.000000   \n",
       "max                  1.500000        123.000000     358.000000  30000.000000   \n",
       "\n",
       "           PAYMENTS  MINIMUM_PAYMENTS  PRC_FULL_PAYMENT       TENURE  \n",
       "count   8950.000000       8637.000000       8950.000000  8950.000000  \n",
       "mean    1733.143852        864.206542          0.153715    11.517318  \n",
       "std     2895.063757       2372.446607          0.292499     1.338331  \n",
       "min        0.000000          0.019163          0.000000     6.000000  \n",
       "25%      383.276166        169.123707          0.000000    12.000000  \n",
       "50%      856.901546        312.343947          0.000000    12.000000  \n",
       "75%     1901.134317        825.485459          0.142857    12.000000  \n",
       "max    50721.483360      76406.207520          1.000000    12.000000  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cc.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pre-processing Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Find Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MINIMUM_PAYMENTS       313\n",
       "CREDIT_LIMIT             1\n",
       "TENURE                   0\n",
       "PURCHASES_FREQUENCY      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cc.isnull().sum().sort_values(ascending=False).head(4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Replace the missing values with mean value\n",
    "df_cc.loc[(df_cc['MINIMUM_PAYMENTS'].isnull()==True),'MINIMUM_PAYMENTS']=df_cc['MINIMUM_PAYMENTS'].mean()\n",
    "df_cc.loc[(df_cc['CREDIT_LIMIT'].isnull()==True),'CREDIT_LIMIT']=df_cc['CREDIT_LIMIT'].mean()\n",
    "df_cc_all = df_cc[:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Binning the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>CUST_ID</th>\n",
       "      <th>BALANCE</th>\n",
       "      <th>BALANCE_FREQUENCY</th>\n",
       "      <th>PURCHASES</th>\n",
       "      <th>ONEOFF_PURCHASES</th>\n",
       "      <th>INSTALLMENTS_PURCHASES</th>\n",
       "      <th>CASH_ADVANCE</th>\n",
       "      <th>PURCHASES_FREQUENCY</th>\n",
       "      <th>ONEOFF_PURCHASES_FREQUENCY</th>\n",
       "      <th>PURCHASES_INSTALLMENTS_FREQUENCY</th>\n",
       "      <th>...</th>\n",
       "      <th>PRC_FULL_PAYMENT</th>\n",
       "      <th>TENURE</th>\n",
       "      <th>BALANCE_RANGE</th>\n",
       "      <th>PURCHASES_RANGE</th>\n",
       "      <th>ONEOFF_PURCHASES_RANGE</th>\n",
       "      <th>INSTALLMENTS_PURCHASES_RANGE</th>\n",
       "      <th>CASH_ADVANCE_RANGE</th>\n",
       "      <th>CREDIT_LIMIT_RANGE</th>\n",
       "      <th>PAYMENTS_RANGE</th>\n",
       "      <th>MINIMUM_PAYMENTS_RANGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C10001</td>\n",
       "      <td>40.900749</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>95.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>95.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C10002</td>\n",
       "      <td>3202.467416</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6442.945483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C10003</td>\n",
       "      <td>2495.148862</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>773.17</td>\n",
       "      <td>773.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C10004</td>\n",
       "      <td>1666.670542</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.788017</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C10005</td>\n",
       "      <td>817.714335</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  CUST_ID      BALANCE  BALANCE_FREQUENCY  PURCHASES  ONEOFF_PURCHASES  \\\n",
       "0  C10001    40.900749           0.818182      95.40              0.00   \n",
       "1  C10002  3202.467416           0.909091       0.00              0.00   \n",
       "2  C10003  2495.148862           1.000000     773.17            773.17   \n",
       "3  C10004  1666.670542           0.636364    1499.00           1499.00   \n",
       "4  C10005   817.714335           1.000000      16.00             16.00   \n",
       "\n",
       "   INSTALLMENTS_PURCHASES  CASH_ADVANCE  PURCHASES_FREQUENCY  \\\n",
       "0                    95.4      0.000000             0.166667   \n",
       "1                     0.0   6442.945483             0.000000   \n",
       "2                     0.0      0.000000             1.000000   \n",
       "3                     0.0    205.788017             0.083333   \n",
       "4                     0.0      0.000000             0.083333   \n",
       "\n",
       "   ONEOFF_PURCHASES_FREQUENCY  PURCHASES_INSTALLMENTS_FREQUENCY  ...  \\\n",
       "0                    0.000000                          0.083333  ...   \n",
       "1                    0.000000                          0.000000  ...   \n",
       "2                    1.000000                          0.000000  ...   \n",
       "3                    0.083333                          0.000000  ...   \n",
       "4                    0.083333                          0.000000  ...   \n",
       "\n",
       "   PRC_FULL_PAYMENT  TENURE  BALANCE_RANGE  PURCHASES_RANGE  \\\n",
       "0          0.000000      12              1                1   \n",
       "1          0.222222      12              4                0   \n",
       "2          0.000000      12              3                2   \n",
       "3          0.000000      12              3                3   \n",
       "4          0.000000      12              2                1   \n",
       "\n",
       "   ONEOFF_PURCHASES_RANGE  INSTALLMENTS_PURCHASES_RANGE  CASH_ADVANCE_RANGE  \\\n",
       "0                       0                             1                   0   \n",
       "1                       0                             0                   5   \n",
       "2                       2                             0                   0   \n",
       "3                       3                             0                   1   \n",
       "4                       1                             0                   0   \n",
       "\n",
       "   CREDIT_LIMIT_RANGE  PAYMENTS_RANGE  MINIMUM_PAYMENTS_RANGE  \n",
       "0                   2               1                       1  \n",
       "1                   5               4                       3  \n",
       "2                   5               2                       2  \n",
       "3                   5               0                       2  \n",
       "4                   3               2                       1  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns=['BALANCE', 'PURCHASES', 'ONEOFF_PURCHASES', 'INSTALLMENTS_PURCHASES', \n",
    "         'CASH_ADVANCE', 'CREDIT_LIMIT', 'PAYMENTS', 'MINIMUM_PAYMENTS']\n",
    "\n",
    "for c in columns:\n",
    "    Range=c + '_RANGE'\n",
    "    df_cc[Range]=0        \n",
    "    df_cc.loc[((df_cc[c]>0)&(df_cc[c]<=500)),Range]=1\n",
    "    df_cc.loc[((df_cc[c]>500)&(df_cc[c]<=1000)),Range]=2\n",
    "    df_cc.loc[((df_cc[c]>1000)&(df_cc[c]<=3000)),Range]=3\n",
    "    df_cc.loc[((df_cc[c]>3000)&(df_cc[c]<=5000)),Range]=4\n",
    "    df_cc.loc[((df_cc[c]>5000)&(df_cc[c]<=10000)),Range]=5\n",
    "    df_cc.loc[(df_cc[c]>10000),Range]=6\n",
    "\n",
    "\n",
    "df_cc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CUST_ID</th>\n",
       "      <th>BALANCE</th>\n",
       "      <th>BALANCE_FREQUENCY</th>\n",
       "      <th>PURCHASES</th>\n",
       "      <th>ONEOFF_PURCHASES</th>\n",
       "      <th>INSTALLMENTS_PURCHASES</th>\n",
       "      <th>CASH_ADVANCE</th>\n",
       "      <th>PURCHASES_FREQUENCY</th>\n",
       "      <th>ONEOFF_PURCHASES_FREQUENCY</th>\n",
       "      <th>PURCHASES_INSTALLMENTS_FREQUENCY</th>\n",
       "      <th>...</th>\n",
       "      <th>BALANCE_RANGE</th>\n",
       "      <th>PURCHASES_RANGE</th>\n",
       "      <th>ONEOFF_PURCHASES_RANGE</th>\n",
       "      <th>INSTALLMENTS_PURCHASES_RANGE</th>\n",
       "      <th>CASH_ADVANCE_RANGE</th>\n",
       "      <th>CREDIT_LIMIT_RANGE</th>\n",
       "      <th>PAYMENTS_RANGE</th>\n",
       "      <th>MINIMUM_PAYMENTS_RANGE</th>\n",
       "      <th>PURCHASES_TRX_RANGE</th>\n",
       "      <th>CASH_ADVANCE_TRX_RANGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C10001</td>\n",
       "      <td>40.900749</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>95.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>95.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C10002</td>\n",
       "      <td>3202.467416</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6442.945483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C10003</td>\n",
       "      <td>2495.148862</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>773.17</td>\n",
       "      <td>773.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C10004</td>\n",
       "      <td>1666.670542</td>\n",
       "      <td>0.636364</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>1499.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>205.788017</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C10005</td>\n",
       "      <td>817.714335</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  CUST_ID      BALANCE  BALANCE_FREQUENCY  PURCHASES  ONEOFF_PURCHASES  \\\n",
       "0  C10001    40.900749           0.818182      95.40              0.00   \n",
       "1  C10002  3202.467416           0.909091       0.00              0.00   \n",
       "2  C10003  2495.148862           1.000000     773.17            773.17   \n",
       "3  C10004  1666.670542           0.636364    1499.00           1499.00   \n",
       "4  C10005   817.714335           1.000000      16.00             16.00   \n",
       "\n",
       "   INSTALLMENTS_PURCHASES  CASH_ADVANCE  PURCHASES_FREQUENCY  \\\n",
       "0                    95.4      0.000000             0.166667   \n",
       "1                     0.0   6442.945483             0.000000   \n",
       "2                     0.0      0.000000             1.000000   \n",
       "3                     0.0    205.788017             0.083333   \n",
       "4                     0.0      0.000000             0.083333   \n",
       "\n",
       "   ONEOFF_PURCHASES_FREQUENCY  PURCHASES_INSTALLMENTS_FREQUENCY  ...  \\\n",
       "0                    0.000000                          0.083333  ...   \n",
       "1                    0.000000                          0.000000  ...   \n",
       "2                    1.000000                          0.000000  ...   \n",
       "3                    0.083333                          0.000000  ...   \n",
       "4                    0.083333                          0.000000  ...   \n",
       "\n",
       "   BALANCE_RANGE  PURCHASES_RANGE  ONEOFF_PURCHASES_RANGE  \\\n",
       "0              1                1                       0   \n",
       "1              4                0                       0   \n",
       "2              3                2                       2   \n",
       "3              3                3                       3   \n",
       "4              2                1                       1   \n",
       "\n",
       "   INSTALLMENTS_PURCHASES_RANGE  CASH_ADVANCE_RANGE  CREDIT_LIMIT_RANGE  \\\n",
       "0                             1                   0                   2   \n",
       "1                             0                   5                   5   \n",
       "2                             0                   0                   5   \n",
       "3                             0                   1                   5   \n",
       "4                             0                   0                   3   \n",
       "\n",
       "   PAYMENTS_RANGE  MINIMUM_PAYMENTS_RANGE  PURCHASES_TRX_RANGE  \\\n",
       "0               1                       1                    1   \n",
       "1               4                       3                    0   \n",
       "2               2                       2                    3   \n",
       "3               0                       2                    1   \n",
       "4               2                       1                    1   \n",
       "\n",
       "   CASH_ADVANCE_TRX_RANGE  \n",
       "0                       0  \n",
       "1                       1  \n",
       "2                       0  \n",
       "3                       1  \n",
       "4                       0  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns=['PURCHASES_TRX', 'CASH_ADVANCE_TRX']  \n",
    "\n",
    "for c in columns:    \n",
    "    Range=c+'_RANGE'\n",
    "    df_cc[Range]=0\n",
    "    df_cc.loc[((df_cc[c]>0)&(df_cc[c]<=5)),Range]=1\n",
    "    df_cc.loc[((df_cc[c]>5)&(df_cc[c]<=10)),Range]=2\n",
    "    df_cc.loc[((df_cc[c]>10)&(df_cc[c]<=15)),Range]=3\n",
    "    df_cc.loc[((df_cc[c]>15)&(df_cc[c]<=20)),Range]=4\n",
    "    df_cc.loc[((df_cc[c]>20)&(df_cc[c]<=30)),Range]=5\n",
    "    df_cc.loc[((df_cc[c]>30)&(df_cc[c]<=50)),Range]=6\n",
    "    df_cc.loc[((df_cc[c]>50)&(df_cc[c]<=100)),Range]=7\n",
    "    df_cc.loc[(df_cc[c]>100),Range]=8\n",
    "df_cc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns=['BALANCE_FREQUENCY', 'PURCHASES_FREQUENCY', 'ONEOFF_PURCHASES_FREQUENCY', 'PURCHASES_INSTALLMENTS_FREQUENCY', \n",
    "         'CASH_ADVANCE_FREQUENCY', 'PRC_FULL_PAYMENT']\n",
    "\n",
    "for c in columns:\n",
    "    \n",
    "    Range=c+'_RANGE'\n",
    "    df_cc[Range]=0\n",
    "    df_cc.loc[((df_cc[c]>0)&(df_cc[c]<=0.1)),Range]=1\n",
    "    df_cc.loc[((df_cc[c]>0.1)&(df_cc[c]<=0.2)),Range]=2\n",
    "    df_cc.loc[((df_cc[c]>0.2)&(df_cc[c]<=0.3)),Range]=3\n",
    "    df_cc.loc[((df_cc[c]>0.3)&(df_cc[c]<=0.4)),Range]=4\n",
    "    df_cc.loc[((df_cc[c]>0.4)&(df_cc[c]<=0.5)),Range]=5\n",
    "    df_cc.loc[((df_cc[c]>0.5)&(df_cc[c]<=0.6)),Range]=6\n",
    "    df_cc.loc[((df_cc[c]>0.6)&(df_cc[c]<=0.7)),Range]=7\n",
    "    df_cc.loc[((df_cc[c]>0.7)&(df_cc[c]<=0.8)),Range]=8\n",
    "    df_cc.loc[((df_cc[c]>0.8)&(df_cc[c]<=0.9)),Range]=9\n",
    "    df_cc.loc[((df_cc[c]>0.9)&(df_cc[c]<=1.0)),Range]=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cc.drop(['CUST_ID', 'BALANCE', 'BALANCE_FREQUENCY', 'PURCHASES',\n",
    "       'ONEOFF_PURCHASES', 'INSTALLMENTS_PURCHASES', 'CASH_ADVANCE',\n",
    "       'PURCHASES_FREQUENCY',  'ONEOFF_PURCHASES_FREQUENCY',\n",
    "       'PURCHASES_INSTALLMENTS_FREQUENCY', 'CASH_ADVANCE_FREQUENCY',\n",
    "       'CASH_ADVANCE_TRX', 'PURCHASES_TRX', 'CREDIT_LIMIT', 'PAYMENTS',\n",
    "       'MINIMUM_PAYMENTS', 'PRC_FULL_PAYMENT' ], axis=1, inplace=True)\n",
    "\n",
    "X= np.asarray(df_cc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Normalising the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8950, 17)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scale = StandardScaler()\n",
    "X = scale.fit_transform(X)\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Clustering - K-means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster_number = 15 \n",
    "kmean_sq_value =[]\n",
    "for i in range(1, cluster_number):\n",
    "    kmean = KMeans(i)\n",
    "    kmean.fit(X)\n",
    "    kmean_sq_value.append([i, kmean.inertia_])\n",
    "\n",
    "kmean_sq_value_df = pd.DataFrame(kmean_sq_value)\n",
    "plt.plot(kmean_sq_value_df[0], kmean_sq_value_df[1], 'g*-') \n",
    "plt.xlabel('Number of Clusters')\n",
    "plt.ylabel('Sum of Squared Errors')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's choose n=7 as neither we want to have many cluster nor we see much improvement\n",
    "# Adding the clusters\n",
    "n_clusters = 7\n",
    "kmean = KMeans(n_clusters).fit(X)\n",
    "labels = kmean.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert labels to dataframe\n",
    "df_labels = pd.DataFrame(labels)\n",
    "df_labels.rename(columns={0: 'cluster'}, inplace=True)\n",
    "df_clusters = df_cc.merge(df_labels, how=\"inner\", left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AMAMK8AAAAAAAMAMK8AAAAAAAMAMK8AAAAAAAMAM7Fj0AAAAAALaf3eddseF9b77w9CmOBGB2XAEPAAAAAAAzoAAPAAAAAAAzMFEBvqqOqao3V9Wnquq6qvruqjq2qt5dVTcMXx8y1v/8qrqxqq6vqlMnHz4AAAAAAGxOk14B/+tJfr+7/16Sf5jkuiTnJbmyu/ckuXLYTlU9JslZSU5KclqSi6rqiAnPDwAAAAAAm9KGC/BVdXSS70vy+iTp7q93918mOSPJxUO3i5OcOayfkeTS7r6ru29KcmOSkzd6fgAAAAAA2MwmuQL+UUkOJPmtqrqmql5XVQ9K8vDuvj1Jhq8PG/ofn+TWsf33D23foqrOqaqrq+rqAwcOTDBE2L7kCCYnRzAdsgSTkyOYnBzBdMgSrM8kBfgdSZ6Q5DXd/fgkX85wu5lDqFXaerWO3f3a7t7b3Xt37tw5wRBh+5IjmJwcwXTIEkxOjmBycgTTIUuwPpMU4Pcn2d/dHxy235xRQf6zVXVckgxf7xjrf8LY/ruS3DbB+QEAAAAAYNPasdEdu/svqurWqnp0d1+f5KlJrh2Ws5NcOHx927DL5Ul+t6pemeQRSfYkuWqSwR+0+7wrDrvvzReePo1TAgAAAADAfdpwAX7wk0kuqaojk3wmyY9kdFX9ZVX1wiS3JHl2knT3vqq6LKMC/d1Jzu3ueyY8PwAAAAAAbEoTFeC7+6NJ9q7y0lMP0f+CJBdMck4AAAAAANgKJrkHPAAAAAAAcAgK8AAAAAAAMAOT3gMeYN0O58HJHpgMAAAAwFbnCngAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJgBBXgAAAAAAJiBiQvwVXVEVV1TVW8fto+tqndX1Q3D14eM9T2/qm6squur6tRJzw0AAAAAAJvVNK6A/6kk141tn5fkyu7ek+TKYTtV9ZgkZyU5KclpSS6qqiOmcH4AAAAAANh0JirAV9WuJKcned1Y8xlJLh7WL05y5lj7pd19V3fflOTGJCdPcn4AAAAAANisJr0C/teS/GySb4y1Pby7b0+S4evDhvbjk9w61m//0PYtquqcqrq6qq4+cODAhEOE7UmOYHJyBNMhSzA5OYLJyRFMhyzB+my4AF9Vz0hyR3d/+HB3WaWtV+vY3a/t7r3dvXfnzp0bHSJsa3IEk5MjmA5ZgsnJEUxOjmA6ZAnWZ8cE+z45yQ9W1T9Jcv8kR1fV7yT5bFUd1923V9VxSe4Y+u9PcsLY/ruS3DbB+QEAAAAAYNPa8BXw3X1+d+/q7t0ZPVz1D7v7uUkuT3L20O3sJG8b1i9PclZVHVVVJybZk+SqDY8cAAAAAAA2sUmugD+UC5NcVlUvTHJLkmcnSXfvq6rLklyb5O4k53b3PTM4PwAAAACwYLvPu2LNPjdfePocRgKLM5UCfHe/N8l7h/XPJXnqIfpdkOSCaZwTAAAAAAA2sw3fggYAAAAAADi0WdyCBgAAAIAt5HBuFbIatw8BuG8K8GtY7w8gP3gAAAAAAEjcggYAAAAAAGZCAR4AAAAAAGbALWgAgC1jo/cmXckt4wAAAJgHBXgAAADWxbOyAAAOj1vQAAAAAADADCjAAwAAAADADCjAAwAAAADADCjAAwAAAADADCjAAwAAAADADCjAAwAAAADADGy4AF9VJ1TVe6rquqraV1U/NbQfW1Xvrqobhq8PGdvn/Kq6saqur6pTpzEBAAAAAADYjCa5Av7uJP+2u/9+kiclObeqHpPkvCRXdveeJFcO2xleOyvJSUlOS3JRVR0xyeABAAAAAGCz2nABvrtv7+6PDOtfTHJdkuOTnJHk4qHbxUnOHNbPSHJpd9/V3TcluTHJyRs9PwAAAAAAbGZTuQd8Ve1O8vgkH0zy8O6+PRkV6ZM8bOh2fJJbx3bbP7QBAAAAAMDSmbgAX1UPTvJ7SX66u79wX11XaetDHPOcqrq6qq4+cODApEOEbUmOYHJyBNMhSzA5OYLJyRFMhyzB+kxUgK+q+2VUfL+ku98yNH+2qo4bXj8uyR1D+/4kJ4ztvivJbasdt7tf2917u3vvzp07JxkibFtyBJOTI5gOWYLJyRFMTo5gOmQJ1mfDBfiqqiSvT3Jdd79y7KXLk5w9rJ+d5G1j7WdV1VFVdWKSPUmu2uj5AQAAAABgM9sxwb5PTvK8JJ+oqo8ObT+f5MIkl1XVC5PckuTZSdLd+6rqsiTXJrk7ybndfc8E5wcAAAAAgE1rwwX47v7jrH5f9yR56iH2uSDJBRs9JwAAbEW7z7tizT43X3j6HEYCAADM08QPYQUAAAAAAL7VJLegAQBm4HCulD0c07qadrONBwAAALYKBXgAAAAAto1JLjBxUQmwXgrwAAAAAMCW5pk7bFYK8AAAAACbhKuzAZaLh7ACAAAAAMAMuAIeANh2PFgWAACAeVCAB4ApmVZRFwAAAFgOCvBbzHqLO67MAwAAAABYDPeABwAAAACAGXAFPLC0DucTIz4lAsCy8fOP7canhIGtYpJbVvq3C7YuBXjuxS+vAAAAAADToQAPAAAAh+AiJQBW8olD1kMBHgBgwSb5OPI4v+QDAABsLnMvwFfVaUl+PckRSV7X3RfOewwAAAAAAJudq+23vrkW4KvqiCT/OcnTkuxP8qGqury7r53nOAAAltE0rqT3yzsAwOaz0d/z/G4HizfvK+BPTnJjd38mSarq0iRnJFGAB7Y070gDAAAAsFJ19/xOVvWsJKd1948O289L8l3d/RMr+p2T5Jxh89FJrl/j0A9NcueUh7tZmevyOpz53tndpx3OweToPm2nuSbba75yNF/bab7mem+HnaNEltZgrsvLz6T52U5zTbbXfOVovrbTfM313mb5u912+l4n22u+22muyQRZmncB/tlJTl1RgD+5u39ywuNe3d17pzHGzc5cl9ei57vo88/Tdpprsr3mu+i5Lvr887ad5muu228M82Kuy2vR8130+edpO8012V7zXfRcF33+edtO8zXX7XP+edtO891Oc00mm++3TXswa9if5ISx7V1JbpvzGAAAAAAAYObmXYD/UJI9VXViVR2Z5Kwkl895DAAAAAAAMHNzfQhrd99dVT+R5F1Jjkjyhu7eN4VDv3YKx9gqzHV5LXq+iz7/PG2nuSbba76Lnuuizz9v22m+5jpfm2EM82Kuy2vR8130+edpO8012V7zXfRcF33+edtO8zXX7XP+edtO891Oc00mmO9c7wEPAAAAAADbxbxvQQMAAAAAANuCAjwAAAAAAMzAli7AV9VpVXV9Vd1YVectejyzVFUnVNV7quq6qtpXVT+16DHNWlUdUVXXVNXbFz2WWaqqY6rqzVX1qeHP97vnfH45WmLbJUeJLM2LHC03OZofWVpecjQ/crTcZGk+5Gi5ydF8bMccJdsnS9PI0Za9B3xVHZHkT5M8Lcn+JB9K8pzuvnahA5uRqjouyXHd/ZGq+vYkH05y5rLON0mq6t8k2Zvk6O5+xqLHMytVdXGS93X366rqyCQP7O6/nNO55UiOloYszYccydEMz71tcpTI0jJnSY7mR46WN0eJLM2LHMnRDM8tR0s413HbJUvTyNFWvgL+5CQ3dvdnuvvrSS5NcsaCxzQz3X17d39kWP9ikuuSHL/YUc1OVe1KcnqS1y16LLNUVUcn+b4kr0+S7v76vH4YDuRIjpaCLM2PHC0vOZovWVpOcjRfcrS8ZGl+5Gh5ydH8bLccJdsnS9PK0VYuwB+f5Nax7f1Z8r/cB1XV7iSPT/LBxY5kpn4tyc8m+caiBzJjj0pyIMlvDR/beV1VPWiO55cjOVoWsrQAcrR05GhBZGmpyNGCyNHSkaUFkKOlI0cLsE1ylGyfLE0lR1u5AF+rtG3N++msQ1U9OMnvJfnp7v7CosczC1X1jCR3dPeHFz2WOdiR5AlJXtPdj0/y5STzvC+aHMnRspClOZOjpSRHCyBLS0eOFkCOlpIszZkcLSU5mrPtkKNk22VpKjnaygX4/UlOGNveleS2BY1lLqrqfhkF+ZLufsuixzNDT07yg1V1c0YfUXpKVf3OYoc0M/uT7O/ug++MvjmjYM/z/HK0nLZTjhJZmis5WlpyNGeytJTkaM7kaGnJ0hzJ0dKSoznaRjlKtleWppKjrVyA/1CSPVV14nAD/LOSXL7gMc1MVVVG9xu6rrtfuejxzFJ3n9/du7p7d0Z/rn/Y3c9d8LBmorv/IsmtVfXooempSeb5kA45WlLbKUeJLM2THMnRDG2bHCWytKxZkqP5kqPlzFEiS/MkR3I0Q3K0pLZTlqaVox1THdUcdffdVfUTSd6V5Igkb+jufQse1iw9Ocnzknyiqj46tP18d79jgWNiOn4yySXDD6TPJPmReZ1YjpLI0TKRpfmQo+UmR/MjS8tLjuZHjpabLM2HHC03OZoPOVpuE+eoupf69ksAAAAAALAQW/kWNAAAAAAAsGkpwAMAAAAAwAwowAMAAAAAwAwowAMAAAAAwAwowAMAAAAAwAwowAMAAAAAwAwowI+pql1V9baquqGqPl1Vv15VR1bVKVXVVfVPx/q+vapOGdbfW1XXV9VHh+XNY/3OqapPDctVVfU9Y6+t3O9ZQ/s9Y20frardhxjvKVX1V1V1TVVdV1UvG9pfUFWvXtH3vVW1d1i/uao+UVUfr6o/qqpHjvV7flV9sqr2VdW1VfUzQ/sbD45vrO+XVmy/uKq+VlX/11jbA6vqkuF8n6yqP66qBx9inucN7c8Y5vSxYQz/6j7+zF5eVX8+7H9tVT1nxevPHP7s/t5Y2+6h7SfH2l5dVS8Y2/43w5/ZJ4ZxvLKq7rfi+3dw3L9xqPFtR3IkR2PbcrRBciRHY9tytEFyJEdj23I0AVmSpbFtWdogOZKjsW052iA5kqOx7a2Xo+62dCdJJbkqyY8M20ckeX2SVyQ5JcmtST4w1v/tSU4Z1t+bZO8qx3xGkg8neeiw/YQktyT522vs96XDHPMpSd4+rD8oyQ1JnpjkBUlevaLv35wryc1jY/rFJP91WP9/k3wkySOG7fsn+ZfD+huTPOu+xjl8/96X5AVjbecneeXY9qOTHHWoeSa5X5Lbkuwato9K8uj7+B68PMnPDOt7knwhyf3GXr9sGNPLx9p2J/lskhuTHDm0vfrguJO8KMnvJzlm2D4yyXlJjl75/bPI0bAuRy1H01rkSI7kSI7kSI42yyJLsiRLciRHcrQZFjmSo62eI1fAf9NTknytu38rSbr7niQvTvIvkjwwyceS/FVVPW0dx/y5JC/p7juHY34kycVJzp3mwIdjfzmjfzi+Y527vj/J8cP6+RkF47bhmF/r7v96OAepqu9I8uAk/y7J+DtaxyX587FxXt/dd93Hob49yY4knxv639Xd1x/OGLr7hiRfSfKQYUwPTvLkJC9MctaK7geSXJnk7FUO9dIkP9bdfzkc9+vdfWF3f+FwxrHNyZEcHSRHGydHcnSQHG2cHMnRQXI0GVmSpYNkaePkSI4OkqONkyM5OmhL5kgB/ptOyigMf2P4w7slyd8dmv5DRn9ZV3PJ2McbXnGoYya5emhfbb+/NbQ9YKztrYcz+GHfJyXZdzj9x5yW5H8M649dZbzjXjH+8ZMVrz0nyZsyeufq0VX1sKH9DUl+rqreX1X/oar2jO0zPs+PVtUPdffnk1ye5M+q6k1V9cNVdVh/T6vqCUlu6O47hqYzk/x+d/9pks8Pr4+7MMm/raojxo7x7Uke3N03rXG694yN+8WHM75tQo7kSI4mJ0dyJEeTkyM5kqPpkCVZkqXJyZEcydHk5EiOtnSOdix6AJtIJen7au/u91VVqup7V+n3w9199QbOs9p+X+3uxx3OoJN8b1Vdk+QbSS7s7n013DdqFePnfU9VPTzJHTn0P1ArvaS7x++VNX4/qbOSPLO7v1FVb0ny7CT/ubs/WlWPSvL0JD+Q5ENV9d3dfV0OMc/u/tGq+gdD/59J8rSMPqJzKC+uqn+Z5FEZ/eN00HOS/Nqwfumw/ZGx89xUVVcl+edj+9zrz6eqTk3yK0mOSfLPu/6vS8AAAAOCSURBVPt/Dy99/8F3SbkXOVqbHMnRWuRobXIkR2uRo7XJkRwdDllamyzJ0lrkaG1yJEdrkaO1ydEmzpEr4L9pX5J7haCqjk5yQpJPjzVfkNHHHQ7HtRnd32ncE4b2aXlfdz++u5/Y3f9laPtcho90jDk2yfhfvu9P8siM5v1LQ9u+Vca7pqr6zozu5fTuqro5o2D/zUdauvtL3f2W7v7xJL+T5J+sdczu/kR3vyqjIP+zNbq/qrsfneSHkvx2Vd1/eHfxKUleN4zpJUl+qKpqxb7/MaOPHX3bcN4vJPlyVZ04bL9r+AfnkxndV4r7JkdyJEeTkyM5kqPJyZEcydF0yJIsydLk5EiO5GhyciRHWzpHCvDfdGWSB1bV85OkRh9x+P8yepDBVw526u4/yCgo//AwjvmrSX5l+IuVqnpcRu8KXTTNga/iQ0meXFV/ezjv3owejHDreKfu/mqSn07y/Ko6NskvJ/nVsf2Oqqp/fRjne05GD0zYPSyPSHJ8VT2yqp5cVQfv73Rkksck+bNDHaiqHlzDk6oHj7uv/ivm85aMPi50dpJnJfnt7n7kMKYTktyU5HtW7POpjP5xfcZY8y8neU1VHTOMqTJ6uAVrkyM5OkiONk6O5OggOdo4OZKjg+RoMrIkSwfJ0sbJkRwdJEcbJ0dydNCWzJFb0Ay6u6vqmUkuqqpfyOjNiXck+fkk372i+wVJ3rai7ZKq+uqwfmd3/0B3X15Vxyf531XVSb6Y5LndffvsZpJ092er6qeSvKNG92L6UpLndPc3Vul7e1W9Kcm53f3va/QRl/85/AXujO4HtZazMnoa87i3Du23ZxSMyuh7ekWS3xv6PKDufV+q38/oe/uzVfWbSb6a5Mu574+yrPRLSX43oycm/8cVr/1eRh9d+ZUV7RckuWZs+zUZPcTjg1V1V0bfvz9Z0ec9VXXPsP7x7n7+Osa4tORIjsa25WiD5EiOxrblaIPkSI7GtuVoArIkS2PbsrRBciRHY9tytEFyJEdj21syR9W92i2UAAAAAACASbgFDQAAAAAAzIBb0GwB9c2n+o67qbufuYjxLEJVvTSjpzSP++/dfcEixsPWI0dyxOTkSI6YnBzJEdMhS7LE5ORIjpicHMnR4XALGgAAAAAAmAG3oAEAAAAAgBlQgAcAAAAAgBlQgAcAAAAAgBlQgAcAAAAAgBn4P0RHRCBp21RuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HVNUpSU5Ncs1wC5ovVtUTq6qSPGdqHQAAAAAA2BGOXWuBqnpTkicnOb6q9if5pSR7k1xeVc9L8ukkz0qS7r6xqi5PclOSe5Jc1N33Dpt6QZJLkhyX5B3DBAAAAAAAO8aaTffuPn+Vl566yvIXJ7l4xvi1Sc7YUHUAAAAAALCNjP1BqgAAAAAAcNTSdAcAAAAAgJFougMAAAAAwEg03QEAAAAAYCSa7gAAAAAAMBJNdwAAAAAAGImmOwAAAAAAjETTHQAAAAAARqLpDgAAAAAAI9F0BwAAAACAkRy76AIAANgau/Zcuepr+/aevYWVAAAA7FzOdAcAAAAAgJFougMAAAAAwEg03QEAAAAAYCSa7gAAAAAAMBJNdwAAAAAAGImmOwAAAAAAjETTHQAAAAAARqLpDgAAAAAAI9F0BwAAAACAkWi6AwAAAADASDTdAQAAAABgJJruAAAAAAAwEk13AAAAAAAYiaY7AAAAAACMRNMdAAAAAABGoukOAAAAAAAjmavpXlX7qur6qrquqq4dxh5eVe+uqk8Mjw+bWv7FVXVLVX28qp4+b/EAAAAAALBMxjjT/Snd/bju3j3M70lyVXefmuSqYT5VdVqS85KcnuSsJK+qqmNG2D8AAAAAACyFI3F7mXOSXDo8vzTJuVPjl3X33d19a5Jbkpx5BPYPAAAAAAALMW/TvZP8flV9sKouHMYe2d23J8nw+Ihh/MQkn5lad/8wBgAAAAAAO8K8Tfcndffjk/xAkouq6nsPs2zNGOuZC1ZdWFXXVtW1Bw4cmLNEODrJEcxPjmAcsgTzkyOYnxzBOGQJ1jZX0727bxse70zy1kxuF3NHVT0qSYbHO4fF9yc5eWr1k5Lctsp2X9Pdu7t79wknnDBPiXDUkiOYnxzBOGQJ5idHMD85gnHIEqxt0033qnpQVX3dwedJnpbkhiRXJLlgWOyCJG8bnl+R5LyqekBVnZLk1CTXbHb/AAAAAACwbI6dY91HJnlrVR3czhu7+51V9YEkl1fV85J8OsmzkqS7b6yqy5PclOSeJBd1971zVQ8AAAAAAEtk00337v5Ukn84Y/xzSZ66yjoXJ7l4s/sEAAAAAIBlNu8HqQIAAAAAAANNdwAAAAAAGImmOwAAAAAAjETTHQAAAAAARrLpD1IFAAAAAIBlsmvPlaNsZ9/esze9rjPdAQAAAABgJJruAAAAAAAwEk13AAAAAAAYiaY7AAAAAACMRNMdAAAAAABGoukOAAAAAAAj0XQHAAAAAICRaLoDAAAAAMBINN0BAAAAAGAkmu4AAAAAADASTXcAAAAAABiJpjsAAAAAAIxE0x0AAAAAAEZy7KIL4MjZtefKTa23b+/ZI1cCAAAAAHB00HTfhM02szdLExwAAAAAYHvQdGc0zqwHAAAAAI52mu58la0+kx8AAAAAYKfQdAdgVA7cAQAAAEez+y26AAAAAAAA2Cmc6Q7ATM5YB2An83sOAIAjZds33f2xvP35AFYAAABgp9K7gqPPtm+6A3B4/sADYLtb7+8yJ2XA1vJ3JgDM5p7uAAAAAAAwki0/072qzkry20mOSfLa7t671TUAAACL5QxZALYbv7tYNmN9T45xtaB8HGpLm+5VdUySVyb5/iT7k3ygqq7o7pu2sg52BveC52jjFxiQrP2zwO85joSN/A7yPQjLSY7hPv5vxTJYpu/DZaplp9jqM93PTHJLd38qSarqsiTnJNF0BxZmq3+5+E8MkBz+Z4+fE8xDYw1WdyT+7ltvjo5UNjVKWCZbfXKc7382wvcLW6m6e+t2VvXMJGd1948N889O8h3d/cIVy12Y5MJh9jFJPn6YzR6f5K4jUO5mLVM9apltu9VyV3eftdENbzBH661lq6hlNrXMJkezqWU2taxurXo2laPE33YjUsts260Wv5MWSy2zbbda5Gix1DLbdqvlaPzbbplqSZarHrXMtuksbXXT/VlJnr6i6X5md//EHNu8trt3j1XjvJapHrXMppbZ1DKbWmZTy2xqmU0tsy1TLcny1LMsdRy0TPWoZTa1zKaW2dQym1pmU8tsaplNLbOpZXXLVI9aZpunlvuNXcwa9ic5eWr+pCS3bXENAAAAAABwRGx10/0DSU6tqlOq6v5JzktyxRbXAAAAAAAAR8SWfpBqd99TVS9M8q4kxyR5XXffOOdmXzN/ZaNapnrUMptaZlPLbGqZTS2zqWU2tcy2TLUky1PPstRx0DLVo5bZ1DKbWmZTy2xqmU0ts6llNrXMppbVLVM9aplt07Vs6T3dAQAAAABgJ9vq28sAAAAAAMCOpekOAAAAAAAj2dZN96o6q6o+XlW3VNWeBdZxclW9p6purqobq+onF1XLVE3HVNWHq+r3FlzHQ6vqzVX1seHr850LrOVFw7/PDVX1pqp64Bbv/3VVdWdV3TA19vCqendVfWJ4fNhW1jTUIEer17QUORpqkaUsb46GOmRp9ZqWIkty9Pf7lqO165Cj1euQo/v2v5RZkqPD1rQUORpqkaXI0TprWaosydGqtcjR7NqWIkvLlqOhpqXIkhwdsv9Rs7Rtm+5VdUySVyb5gSSnJTm/qk5bUDn3JPnp7v7WJE9MctECaznoJ5PcvOAakuS3k7yzu78lyT/MgmqqqhOT/O9Jdnf3GZl8kO95W1zGJUnOWjG2J8lV3X1qkquG+S0jR2talhwlsnTQJVmyHCWytA7LkiU5mrgkcrQWOVqdHN3nkixZluRoTcuSo0SWDrokcrSWZcuSHK0gR7MtWZaWLUfJ8mRJju5zSUbM0rZtuic5M8kt3f2p7v7bJJclOWcRhXT37d39oeH5FzP5Bj1xEbUkSVWdlOTsJK9dVA1DHQ9J8r1JfidJuvtvu/svF1jSsUmOq6pjk3xtktu2cufd/b4kn18xfE6SS4fnlyY5dytrihytallyNNQiS4MlzVEiS6talizJ0X3kaG1ytGodcjRlSbMkR6tYlhwNtcjSQI7WtkxZkqPDkqOvtjRZWqYcJcuTJTk61NhZ2s5N9xOTfGZqfn8WGJiDqmpXkm9P8v4FlvFbSX4uyVcWWEOSfGOSA0n+r+GSmddW1YMWUUh3fzbJbyb5dJLbk/y37v79RdSywiO7+/Zk8ksgySO2eP9ytLplyVEiS2tZdI4SWTqcZcmSHB2eHK1Cjg4hR2tbdJbkaHXLkqNEltYiR6tYgizJ0QxytKqlzNIS5ChZnizJ0do2naXt3HSvGWO95VVMqaoHJ/ndJD/V3V9YUA0/mOTO7v7gIva/wrFJHp/k1d397Um+nAVc0pQkwz2XzklySpJHJ3lQVf3oImpZMnI0u4ZlylEiS9uBLM2uYZmyJEfLT45m1yBHM8jRquRodg3LlKNElpbd0uUoWXyW5Gh1crSqpcvSonM01LBMWZKjI2g7N933Jzl5av6kbPFlB9Oq6msyCe4buvsti6ojyZOSPKOq9mVy6c73VdV/WlAt+5Ps7+6DRw/fnEmYF+GfJLm1uw90998leUuS71pQLdPuqKpHJcnweOcW71+OZlumHCWytJZF5yiRpdUsU5bk6PDkaAU5mkmO1rboLMnRbMuUo0SW1iJHKyxJluRodXI021JlaUlylCxXluRobZvO0nZuun8gyalVdUpV3T+Tm+tfsYhCqqoyuf/Rzd390kXUcFB3v7i7T+ruXZl8Tf6guxdyZKi7/zzJZ6rqMcPQU5PctIhaMrk85YlV9bXDv9dTsxwfWHFFkguG5xckedsW71+OZlimHA31yNLhLTpHiSzNtExZkqM1ydEUOVq1Fjla26KzJEczLFOOhnpk6fDkaMqyZEmODkuOZluaLC1LjpLlypIcrcums3TsESlnC3T3PVX1wiTvyuQTbV/X3TcuqJwnJXl2kuur6rph7F9099sXVM8y+Ykkbxh+wH4qyT9fRBHd/f6qenOSD2XyqdUfTvKarayhqt6U5MlJjq+q/Ul+KcneJJdX1fMy+QHzrK2sSY62FVnKcuYokaVtRI4iR+skR6uTo8EyZkmOthVZihytkyytTo6ynDlKli5LcrQ6ORqMnaXqXvityQAAAAAAYEfYzreXAQAAAACApaLpDgAAAAAAI9F0BwAAAACAkWi6AwAAAADASDTdAQAAAABgJJruAAAAAAAwkqOy6V5V91bVdVX1kar6UFV914rXX1RVf1NV/93U2JOr6vcOs82PVNWbVoxdUlWfraoHDPPHV9W+qde/uareXlW3VNXNVXV5VT1y2Nd/G2o8OP2Tdbyfg9OuqW18uKo+VlW/ObX8c6vqwIp1ThteO72q/qCq/mtVfbKqfrmq7je89pKq+pkV+95XVcevUseeYfy9VXXt1Dq7q+q9U/NnVtX7qurjQ62vrapnVNXVVVXDMscM2zzk32pqGy8ZvtbXVdVNVXX+itd/qKq6qr5lamzXMPYTU2OvqKrnTs3/H0NN1w//xi+tqq+Zeu/XT73fl6/2b7QTyZEcDWNyNCdZkqVhTJbmIEdyNIzJ0RzkSI6GMTmakyzJ0jAmS3OQIzkaxrZ3jrr7qJuSfGnq+dOT/OGK169J8kdJnjs19uQkv7fK9r41yfVJPpvkQVPjlyT5dJIXDPPHJ9k3PH9gkk8k+adTyz8lyRmH29da72dWvUmOS/KxJE8a5p+b5BUz1jkuySeTPG2Y/9ok70jyomH+JUl+ZsU6+5Icv1odw/h7h6/DDwzzu5O8d3j+yCR/luQ7h/lK8sxh/LIkPzaM/1SS/3CYr8Hf15bk1CRfSPI1U69fPvybvmRqbFeSO5LckuT+w9grDv67J3l+kncmeegwf/8ke5I8ZOV7PxonOZKjYUyO5pxkSZaGMVmaY5IjORrG5GiOSY7kaBiTozknWZKlYUyW5pjkSI6GsW2do6PyTPcVHpLkLw7OVNU3JXlwkn+Z5PzVVlrhR5L8xyS/n+QZK177rSQvqqpjZ6xzdXf/vwcHuvs93X3DxspfW3f/dZLrkpy4xqI/kuRPuvv3h/X+KskLk/zsCGX8m0y+pitdlOTS7r562Gd395u7+44kL0ry4qo6fajj59ezo+7+RJK/SvKwJKmqByd5UpLnJTlvxeIHklyV5IIZm/qFTH7w/uWw3b/t7r3d/YX11HGUkaNDa5Kj+8jRxsjSoTXJ0n1kaf3k6NCa5Og+crR+cnRoTXJ0HznaGFk6tCZZuo8srZ8cHVqTHN1nqXN0tDbdjxsuK/hYktcm+dWp185P8qZMjq48pqoesY7t/XCS/zystzLwn07yx0mevWL8jCQfPMw2v2fFJR/fdJhlj5ta7q0rX6yqh2VyFOl90zWv2P5xSU5fWVN3f3LY/kMPs/9ZdVxXVT889drVSe6uqqesWGfVr0N3357JD7+rk/xad39+HTWkqh6f5BPdfecwdG6Sd3b3f03y+eH1aXuT/HRVHTO1ja9L8uDuvnWN3b1n6v2+aD317SByJEfT5GjzZEmWpsnS5siRHE2To82RIzmaJkebJ0uyNE2WNkeO5GjatszRyqM4R4u/7u7HJUlVfWeS11fVGd3dmRxR+aHu/kpVvSXJs5K8crUNVdU/SnKgu/+sqvYneV1VPay7/2JqsX+V5IokV26gxj/q7h/c6PtZ4Xuq6qNJHpNkb3f/+dRr/7m7Xzi9cFVVkp6xnRoeZ702Pb5aHQf9WiZHzdZ15Gvwykxqv2Qdy76oqv7XJN+Y5Kyp8fMz+SGQTC59OT/Jhw6+2N23VtU1mRwxPOiQr0VVPT3JbyR5aJIf6e7/Mrz0lO6+awPvZyeRIzmSo3HIkizJ0vzkSI7kaH5yJEdyNA5ZkiVZmp8cydG2z9HReqb73+vJ5RHHJzmhqh6byZGld9fkgxPOy9qXqpyf5FuG5T+ZyWUv/2zFPm7J5DKR/3lq+MYkTxjhLRzOH3X3Y5N8W5IXVNXhgnWwpt3TA1X1jUnu6smlGp/LcOnHlK9L8pfrKaa7/yCTe2I9ccU+V/06dPdXsvoPjZVe1t2PyeQI5uur6oFV9fVJvi/Ja4d/o5/N5GhhrVj3X2XyQ+V+w36/kOTLVXXKMP+u4QfTDZncI4opcnQIOZKjTZOlQ8iSLG2KHB1CjuRoU+ToEHIkR5smS4eQJVnaFDk6hBxtoxwd9U33mtvERWQAAAKqSURBVHwq7jGZfGOen8kN+3cN06OTnFhV37DKuvfL5IjaYw+uk+SczA78xUmmP0H4jUm+q6rOntreWVX1bWO8r2k9uTzj17P2kao3JPnuGj5xuSaXrrw8yS8Nr78vyTNqcglHqup/SvKR7r53A+VcnOTnpuZfkeSCqvqOgwNV9aNV9d9vYJuH6O63JLk2k/s9PTPJ67v7G4Z/o5OT3Jrku1es87EkNyWZPkr560leXcMlOkPgH7jZunYyOTqEHMnRpsnSIWRJljZFjg4hR3K0KXJ0CDmSo02TpUPIkixtihwdQo62UY6O1tvLHFdV1w3PK8kF3X1vVZ2X5AdWLPvWTI6cvT/JU2tyKcpBr0zy2e7+7NTY+5KcVlWPmt5Id99YVR9K8vhh/q+r6geT/FZV/VaSv0vy0SQ/meTrM9wbamoTv9bdb57jPf+7JD9z8AhQJkeNpr+Bf7y7/0tVPSPJv62qV2XyAQ6/1t1vGGr+aFW9IskfV1UnuTPJj01t47gVNb+zu/es+Dq8vaoOTM3fMXzdf7Mm9+H6SiZfw7fM8V6T5Fcy+QF5RyZHw6b9biaXpPzGivGLk3x4av7VmXwS9Pur6u4kX0ryJyuWeU9VHfzh9dHufs6cdW8nciRHcjQOWZIlWZqfHMmRHM1PjuRIjsYhS7IkS/OTIzna9jmq7vVeAcDRpqrOTfLSTO5/9GeLrge2IzmCccgSzE+OYH5yBOOQJZifHC03TXcAAAAAABjJ0Xp7mW2nJh8scNWMl57a3Z/b6noWpap+IZP7cU37v7v74kXUw/YiRxNyxLxkaUKWmIccTcgR85CjCTliXrI0IUvMQ44m5Og+znQHAAAAAICR3G/RBQAAAAAAwE6h6Q4AAAAAACPRdAcAAAAAgJFougMAAAAAwEj+f0YvwvT+rQlUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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799wmBzuJHMHs5AjmQ5ZgdnIEs5MjmA9Zgs3ZagH/yeG2Mhm+3j+MH0ly+rr99ia5dxjfu8E4AAAAAABM0lYL+KuTXDg8vjDJ+9aNX1BVj6+qM7L2Yas3Drep+UxVPa+qKslr1h0DAAAAAACTs+tkO1TVbyR5YZKnV9WRJD+R5LIkV1XV9ya5O8krkqS7b62qq5LcluShJBd398PDqb4/yTuSfFmSa4cNAAAAAAAm6aQFfHe/8jjfevFx9r80yaUbjB9K8pxNzQ4AAAAAAFbUvD+EFQAAAAAAiAIeAAAAAABGoYAHAAAAAIARKOABAAAAAGAECngAAAAAABiBAh4AmIt9B6/JvoPXLHoaAAAAsDQU8AAAAAAAMAIFPAAAAAAAjEABDwAAAAAAI1DAAwAAAADACBTwAAAAAAAwAgU8AAAAAACMQAEPAAAAAAAjUMADAAAAAMAIFPAAAAAAADACBTwAAAAAAIxAAQ8AAAAAACNQwAMAAAAAwAgU8AAAAAAAMAIFPAAAAAAAjEABDwAAAAAAI1DAAwAAAADACHYtegIAAAAAALAd9h285ouP77rspaNfb6ZXwFfVXVV1c1V9pKoODWNPq6rfqqqPD1+fum7/S6rqcFXdUVUvmXXyAAAAAACwrOZxC5pv7e6zu/vA8Pxgkuu7e3+S64fnqaozk1yQ5Kwk5yW5vKpOm8P1AQAAAABg6YxxD/jzk1wxPL4iycvWjV/Z3Q929yeSHE5yzgjXBwAAAACAhZu1gO8k/7OqPlhVFw1jz+zu+5Jk+PqMYXxPknvWHXtkGHuMqrqoqg5V1aGjR4/OOEXYmeQIZidHMB+yBLOTI5idHMF8yBJszqwF/PO7+5uSfHuSi6vqBSfYtzYY64127O63dveB7j6we/fuGacIO5McwezkCOZDlmB2cgSzkyOYD1mCzZmpgO/ue4ev9yd5b9ZuKfPJqnpWkgxf7x92P5Lk9HWH701y7yzXBwAAAACAZbXlAr6qvqKqnvTI4yTnJrklydVJLhx2uzDJ+4bHVye5oKoeX1VnJNmf5MatXh8AAAAAAJbZrhmOfWaS91bVI+d5V3f/j6q6KclVVfW9Se5O8ook6e5bq+qqJLcleSjJxd398EyzBwAAAACAJbXlAr6770zydzcY//MkLz7OMZcmuXSr1wQAAAAAgFUx64ewAgAAAAAAG1DAAwAAAADACBTwAAAAAAAwAgU8AAAAAACMQAEPAAAAAAAjUMADAAAAAMAIFPAAAAAAADACBTwAAAAAAIxAAQ8AAAAAACNQwAMAAAAAwAgU8AAAAAAAMAIFPAAAAAAAjEABDwAAAAAAI1DAAwAAAADACBTwAAAAAAAwAgU8AAAAAACMQAEPAAAAAAAjUMADAAAAAMAIFPAAAAAAADACBTwAAAAAAIxAAQ8AAAAAACNQwAMAAAAAwAgU8AAAAAAAMAIFPAAAAAAAjGDbC/iqOq+q7qiqw1V1cLuvDwAAAAAA22FbC/iqOi3Jf0ry7UnOTPLKqjpzO+cAAAAAAADbYbtfAX9OksPdfWd3fz7JlUnO3+Y5AAAAAADA6Kq7t+9iVS9Pcl53f9/w/NVJvrm7X3fMfhcluWh4+uwkd8x5Kk9P8sCcz7ko1rKcxlrLA9193qnsuA05SvyZLaOprCORo1VkLctpjLWcco4S/7bbJGtZTn4mrZ6prGUq60jkaBVZy3Lyb7vVYi3LaVt/Jm13Af+KJC85poA/p7t/cNsmsXbdQ919YDuvORZrWU5TWsuJTGmdU1nLVNaRTGstJzKldVrLcprSWo5nSmu0luU0pbWcyJTWOZW1TGUdybTWciJTWqe1LKcpreV4prRGa1lO272W7b4FzZEkp697vjfJvds8BwAAAAAAGN12F/A3JdlfVWdU1eOSXJDk6m2eAwAAAAAAjG7Xdl6sux+qqtcluS7JaUne3t23buccBm9dwDXHYi3LaUprOZEprXMqa5nKOpJpreVEprROa1lOU1rL8UxpjdaynKa0lhOZ0jqnspaprCOZ1lpOZErrtJblNKW1HM+U1mgty2lb17Kt94AHAAAAAICdYrtvQQMAAAAAADuCAh4AAAAAAEaw4wr4qjqvqu6oqsNVdXDR89mqqjq9qn6nqm6vqlur6ocWPadZVNVpVfXhqvrvi57LrKrqKVX17qr6X8Ofz99f9JzmTY6W11SyJEerQ46W107IUSJLy2oqOUp2RpbkaHlNJUtytDrkaHnthBwlsrSsppKjZDFZ2lH3gK+q05L87yTfluRIkpuSvLK7b1voxLagqp6V5Fnd/aGqelKSDyZ52SquJUmq6l8nOZDkyd39HYuezyyq6ookf9Ddv1JVj0vy5d39/xY9r3mRo+U2lSzJ0eqQo+U19RwlsrTMppKjZPpZkqPlNpUsydHqkKPlNfUcJbK0zKaSo2QxWdppr4A/J8nh7r6zuz+f5Mok5y94TlvS3fd194eGx59JcnuSPYud1dZU1d4kL03yK4uey6yq6slJXpDkbUnS3Z+f2g/EyNHSmkqW5Gi1yNFy2iE5SmRpKU0lR8mOyZIcLampZEmOVoscLacdkqNElpbSVHKULC5LO62A35PknnXPj2RF//KvV1X7knxjkg8sdiZb9h+T/GiSLyx6InPwNUmOJvmvw1tzfqWqvmLRk5ozOVpeU8mSHK0oOVoqOyFHiSwtq6nkKNkZWZKj5TWVLMnRipKjpbITcpTI0rKaSo6SBWVppxXwtcHYSt+Dp6qemOQ3k/xwd3960fPZrKr6jiT3d/cHFz2XOdmV5JuSvKW7vzHJ55Ks7D3LjkOOltDEsiRHK0iOls5OyFEiS0tnYjlKdkaW5GgJTSxLcrSC5Gjp7IQcJbK0dCaWo2RBWdppBfyRJKeve743yb0LmsvMqupLsxbid3b3exY9ny16fpLvrKq7svbWohdV1a8vdkozOZLkSHc/8lvNd2ct2FMiR8tpSlmSoxUjR0tpJ+QokaVlNKUcJTsjS3K0nKaUJTlaMXK0lHZCjhJZWkZTylGyoCzttAL+piT7q+qM4Sb7FyS5esFz2pKqqqzdr+j27v6FRc9nq7r7ku7e2937svbn8dvd/aoFT2vLuvvPktxTVc8ehl6cZCU/YOME5GgJTSlLcrRa5Gg57ZAcJbK0dKaUo2THZEmOltCUsiRHq0WOltMOyVEiS0tnSjlKFpelXWNfYJl090NV9bok1yU5Lcnbu/vWBU9rq56f5NVJbq6qjwxjP9bd71/gnFjzg0neOfywuDPJ9yx4PnMlR2wTOVodcrS8Jp2jRJbYNpPOkhyxTeRodcjR8pp0jhJZYttse5aqe6VvpQQAAAAAAEtpp92CBgAAAAAAtoUCHgAAAAAARqCABwAAAACAESjgAQAAAABgBAp4AAAAAAAYgQJ+h6qqN1bVj2zhuKdU1Q+MMSdYNXIE8yFLMDs5gtnJEcyHLMHs5GhaFPBs1lOSbCrItcbfNfgbcgTzIUswOzmC2ckRzIcswezkaAn5j7tDVNVrqupjVfXRqvq1Y773u1V1YHj89Kq6a3h8VlXdWFUfGY7dn+SyJF87jP3ssN/rq+qmYZ+fHMb2VdXtVXV5kg8lOX0blwujkCOYD1mC2ckRzE6OYD5kCWYnR9O2a9ETYHxVdVaSNyR5fnc/UFVPS/IvT+HQ1yb5xe5+Z1U9LslpSQ4meU53nz2c+9wk+5Ock6SSXF1VL0hyd5JnJ/me7vbWF1aeHMF8yBLMTo5gdnIE8yFLMDs5mj4F/M7woiTv7u4HkqS7P1VVp3LcDUneUFV7k7ynuz++wXHnDtuHh+dPzFqw707yp939x3OYPywDOYL5kCWYnRzB7OQI5kOWYHZyNHFuQbMzVJI+wfcfyt/8XXjCI4Pd/a4k35nkL5NcV1UvOs65f7q7zx62r+vutw3f+9zsU4elIUcwH7IEs5MjmJ0cwXzIEsxOjiZOAb8zXJ/kn1bVVybJ8FaW9e5K8tzh8csfGayqr0lyZ3e/OcnVSb4hyWeSPGndsdcl+edV9cThmD1V9YwxFgELJkcwH7IEs5MjmJ0cwXzIEsxOjibOLWh2gO6+taouTfJ7VfVw1t52cte6XX4uyVVV9eokv71u/LuTvKqq/jrJnyX5qeFtMH9UVbckuba7X19VX5/khuFtLp9N8qokD4++MNhGcgTzIUswOzmC2ckRzIcswezkaPqq+0TvcAAAAAAAALbCLWgAAAAAAGAECngAAAAAABiBAh4AAAAAAEaggAcAAAAAgBEo4AEAAAAAYAQKeAAAAAAAGIECHgAAAAAARvD/AQy7bGk4Dva5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in df_clusters:\n",
    "    grid= sns.FacetGrid(df_clusters, col='cluster')\n",
    "    grid.map(plt.hist, c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<H2> Visualization of clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C1</th>\n",
       "      <th>C2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.262007</td>\n",
       "      <td>-0.773873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.659363</td>\n",
       "      <td>0.518442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.340332</td>\n",
       "      <td>0.267407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.227877</td>\n",
       "      <td>0.062221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.410027</td>\n",
       "      <td>-0.524627</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         C1        C2\n",
       "0 -0.262007 -0.773873\n",
       "1 -0.659363  0.518442\n",
       "2  0.340332  0.267407\n",
       "3 -0.227877  0.062221\n",
       "4 -0.410027 -0.524627"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Normalize data\n",
    "df_normalized = normalize(X)\n",
    "\n",
    "#Reducing the dimension\n",
    "pca = PCA(2)\n",
    "X_PCA = pca.fit_transform(df_normalized)\n",
    "X_PCA = pd.DataFrame(X_PCA)\n",
    "X_PCA.columns = ['C1', 'C2']\n",
    "X_PCA.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing the cluster\n",
    "cluster_groups = [\n",
    "    [0, \"people with high credit limit\"],\n",
    "    [1, \"who make all type of purchases\"], \n",
    "    [2, \"people with due payments\"],         \n",
    "    [3, \"purchases mostly in installments\"],         \n",
    "    [4, \"who take more cash in advance\"],          \n",
    "    [5, \"who make expensive purchases\"],         \n",
    "    [6, \"who don't spend much money\"]]\n",
    "\n",
    "dfc = pd.DataFrame(KMeans(n_clusters).fit_predict(X_PCA))\n",
    "dfc = dfc.rename(columns={0:'cluster_group'})\n",
    "X_df = pd.concat([X_PCA, dfc], axis=1)\n",
    "\n",
    "plt.subplots(figsize=(10, 6))\n",
    "plt.scatter(X_df['C1'], X_df['C2'], c=X_df['cluster_group'],\n",
    "cmap = plt.cm.get_cmap('plasma', 7))\n",
    "plt.title(\"Customers Credit Card usage behaviour\")\n",
    "\n",
    "cbar = plt.colorbar()\n",
    "plt.clim(-0.5, 6.5)\n",
    "cbar.ax.set_yticklabels(x[1] for x in cluster_groups)\n",
    "plt.axis(\"tight\") \n",
    "plt.tick_params(axis='both', bottom=False, left=False, labelbottom=False, labelleft=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_cc_limit_payments = df_cc_all[['CREDIT_LIMIT', 'PAYMENTS']]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.regplot(x='CREDIT_LIMIT', y='PAYMENTS', data=df_cc_limit_payments, color='green', marker='.', scatter_kws={'s': 200})\n",
    "ax.set(xlabel='CREDIT_LIMIT', ylabel='PAYMENTS') \n",
    "ax.set_title('Credit Limit vs Payments') \n",
    "plt.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_column = 'PURCHASES'\n",
    "x_column = 'CREDIT_LIMIT'\n",
    "columns = [x_column, y_column]\n",
    "df_cc_limit_payments = df_cc_all[columns]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.regplot(x=x_column, y=y_column, data=df_cc_limit_payments, color='green', marker='.', scatter_kws={'s': 200})\n",
    "ax.set(xlabel=x_column, ylabel=y_column) \n",
    "ax.set_title( x_column + ' vs ' + y_column) \n",
    "plt.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GM9sEdDnnnnDOOeBTZc8pHutzwNuKo4RLTUe0g11X7+L3bvg9dl29q2WClWYvi4iILE+NHgn8S+B9wOqStg3OuREA59yImV3qt19GYaSv6Ljf5vm3y9uLzxn2j5U1szhwCXCmtBNmdjuFkUS6u7sZHBxc8BsLikwiwx0b7iASKvyqrA+vZ8+6PQBk81kyz2cYPDHYxB4uLePj4/r9q5HO3cLo/C2Mzl/tdO5aV8NCoJn9InDKOfeMmW2fz1NmaHNztM/1nKkNzt0H3Adw1VVXue3b59MdAeg/3M++gX3E2mMA7Fm3h/vP3Q9APB3n3lffy/artzexh0vL4OAg+v2rjc7dwuj8LYzOX+107lpXI8vBNwK/bGYvAA8CbzWzvwVO+iVe/O+n/McfB0rXQ9kCvOS3b5mhfcpzzCwCxIBzjXgzQbVUZi+LiIhIdRoWAp1zH3DObXHOXU5hwsfXnHO/DnwRuM1/2G3AF/zbXwRu8Wf8XgFcCTzll47HzOwN/vV+t5Y9p3ism/3XmDYSKLUrzl6OhqO8OPYi6WyaF8deJBqOtszsZREREaneYswOLncP8JCZ7QGGgHcCOOeeM7OHgO8DWeC9/sxggPcA+4GVFGYFP+y33w982syOUBgBvGWx3kQQmV99txmr8CIiIrKULEoIdM4NAoP+7bPA22Z53N3A3TO0Pw28cob2CfwQKY1RXCLGy3lsXr2Z9kg7m1dv1hIxIiIiS5x2DJE5aYkYERGR5UkhUOY0FB/Cy3kz3uflPIZHhxe5RyIiIlIPCoEyp95YL9FwdMb7ouEoPV09M94nIiIirU0hUOakJWJERESWJ4VAmVNxiZj2SDvxdJxsPks8Hac90q4lYkRERJawZiwRI0vMto3bOLjnIANHB8g8n+HeV9/Ljq07FABFRESWMI0Eyrx0RDvYdfUuuju62XX1LgVAERGRJU4hUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAkghUERERCSAFAJFREREAqhhIdDMVpjZU2b2bTN7zsz+2G9fZ2YDZvZj//vakud8wMyOmNkPzeztJe3Xm9l3/fv2mZn57e1m9lm//Ukzu7xR70dERERkOWnkSGAaeKtz7jXANuAdZvYG4C7gUefclcCj/s+Y2bXALcB1wDuAj5tZ2D/WJ4DbgSv9r3f47XuA8865VwB/AXy4ge9HREREZNloWAh0BeP+j1H/ywG7gAf89geA3f7tXcCDzrm0c+4YcAS4wcw2AV3OuSeccw74VNlzisf6HPC24iihiIiIiMyuodcEmlnYzA4Bp4AB59yTwAbn3AiA//1S/+GXAcMlTz/ut13m3y5vn/Ic51wWiAOXNObdiIiIiCwfkUYe3DmXA7aZ2Rrg82b2yjkePtMInpujfa7nTD2w2e0Uysl0d3czODg4V7dlDuPj4zp/C6DzVzudu4XR+VsYnb/a6dy1roaGwCLn3AUzG6RwLd9JM9vknBvxS72n/IcdB3pKnrYFeMlv3zJDe+lzjptZBIgB52Z4/fuA+wCuuuoqt3379jq9s+AZHBxE5692On+107lbGJ2/hdH5q53OXetq5Ozgbn8EEDNbCdwEHAa+CNzmP+w24Av+7S8Ct/gzfq+gMAHkKb9kPGZmb/Cv97u17DnFY90MfM2/blBERERE5tDIkcBNwAP+DN8Q8JBz7stm9gTwkJntAYaAdwI4554zs4eA7wNZ4L1+ORngPcB+YCXwsP8FcD/waTM7QmEE8JYGvh8RERGRZaNhIdA59x3gtTO0nwXeNstz7gbunqH9aWDa9YTOuQn8ECkiIiIi81dVOdjMomb2WjO7tPKjRURERKRVzRkCzeyTZnadfzsGfJvCOn3Pmtm7FqF/IiIiItIAlUYCf9Y595x/+93Aj5xzrwKuB97X0J6JiIiISMNUCoGZkts7gH4A59yJhvVIRERERBquUgi8YGa/aGavBW4E/hnAX5NvZaM7JyIiIiKNUWl28G8D+4CNwH8uGQF8G/BPjeyYiIiIiDTOnCHQOfcjCrt8lLd/FfhqozolIiIiIo1VaXbwQyW3P1x234FGdUpEREREGqvSNYFXltzeUXZfd537IiIiIiKLpFIInGsfXu3RKyIiIrJEVZoY0uHPDA4BK/3b5n9pdrCIiIhIAyS9JAeOHoBVNGyXtkoh8ATw0RluF38WERERmaYYYjKJDP2H+9m5dScd0Y5md2tJOHTiEH39fSS8BHSyoVGvU2l28PZGvfBSV/zlHooP0Rvr1S+3iIiIrzTE3LHhDvYN7GPv4F72797Pto3bmt29lpb0kvT195HOpom1xyBPtlGvNWcINLOfAYaL6wOa2a3ArwA/AfY65841qmOtrPSX28t5RMNR/XKLiIgwPcREQhFi7TESmQR9/X0c3HNQgyZzOHD0AAkvUQiADVZpYsj/i791nJn9O+Ae4FNAHLivsV1rTeW/3Os71hNrj5HOpunr7yPpJZvdRRERkaYphpjOts4p7Z1tnSS8BANHB5rUs6VhKD6El/MW5bUqhcBwyWjfrwH3Oef+wTn334BXNLZrrUm/3CIiIrObK8R4OY/h0eFF7tHS0hvrJRqOLsprVQyB/j7BUNgq7msl91WaVLIs6ZdbRERkdnOFmGg4Sk9XzyL3aGm56eU3sSKygvhEnEwu09DXqhQC/x74FzP7ApAC/hXAzF5BoSQcOI365U56SfoP97PvyX30H+5XWVlERJaknVt30hntJJFJTGlPZBJ0RjvZsbV874lgy7s8iUyCM8kzDMWHeGnsJf705/6USChCPB2HUOMG3SrNDr7bzB4FNgEHnHPFBaJDwO81qlOtbOfWnewd3Fv4ZS4pCS/kl1sTTUREZLnoiHawf/d++vr7iKfjZPNZ4uk4ndFO9u/eH/hJIc45UtkUSS9J0kuSzqZxZftvXNN9DQ/e/CCPDz/OexPvbdiSfBXTpXPum6U/m1kncAPwLuAXGtSvllX+y10MbbX+ck+bCu7TLCoREVmqtm3cxsE9Bxk4OkDm+Qz3vvpedmzdEci/Z6WhL+WlmMhOTAt9M1kZXclNL78JxjndqL7Na4jRzNqAnwf+I/AO4B+ATzaqU62u9Jd7eHSYnq6emn+5Z5sK3tnWSTwdZ+DoALuu3lWvrouIiCyKjmgHu67exeCJQbZfvb3Z3Vk0xdCX8grBb76hrxkqrRO4g8KI39uBrwOfBm5wzr17EfrW0oq/3AuliSYiIiJLl3OOiexEYaTPD3+tGvrKVRoJ/CqFySBvds4dAzCz/9XwXgWIZlGJiIgsHUs59JWrNDv4euCbwCNmNmBme4Bw47sVHJpFJSIi0rqcc6S8FOdS5zg+epwj544wPDrM2dRZkl5yyQZAqDw7+FngWeD9ZnYjhdJwm5k9DHzeORfIXUPqqd4TTURERKR2zjnSufTkRI5UNkXe5ZvdrYaY99ozzrnHgcfN7A5gB3ALAd06rt7qOdFEREREqjNZ3l3moa9cpYkhPz3LXaeBv6p/d4KrXhNNREREZG4T2YnJ2btBCn3lKo0EfqTk9vXAMyU/O+Ctde+RiIiISB2ls+nJxZmDHPrKVbom8OeKt83s2dKfRURERFpRMfQVZ+/mXK7ZXWpJ1exHt3Snv4iIiMiylc6mp+zKodA3Pw3blFhERESkETK5zGTgS3pJhb4aVZoY8ldcHAHcYmb7Su93zt3RqI6JiIiIQCH0FQOfQl/9VBoJfLrk9jOzPkpERESkTkpDXyqbIpvPNrtLy1KlEPhZYLVz7nRpo5ldCow2rFciIiISGAp9zVEpBO4D/hn4x7L2HcCbgfc0olMiIiKyfCn0tYZKIfDNzrnbyxudc58xsw82qE/SgpJekgNHD5BJZOg/3M/OrTu1o4mIiMxLcfauJnK0lkoh0Oa4L1TPjkjrOnTiEH39fSS8BHdsuIN9A/vYO7iX/bv3s23jtmZ3T6Spih+QhuJD9MZ69QFJAq+4924x8KVzaX4S/0mzuyUzqBQCT5nZDc65p0obzexnKGwdJ8tc0kvS199HOpsm1h4jEooQa4+RyCTo6+/j4J6D+oMngVX6AcnLeUTDUX1AksBxzhW2YfPX6ZvITmhHjiWiUgi8E3jIzPZzcXbw64BbgVsa2C9pEQeOHiDhJYi1x6a0d7Z1Ek/HGTg6oD2PJZDKPyAV6QOSLHfOuSml3YnsBE77SSxJlbaNe8rMXg/8LtDnNz8HvN45d6rBfZMWMBQfwst55F2e0fQo2XyWCxMX6Grvwst5DI8ON7uLIk2hD0gSFHmXJ+WlJkf60tm0Qt8yUXHHEOfcSeC/l7aZ2Q4ze59zbkfDeiYtoTfWS97lOXzmMHmXx+v2OD56nJCFWN+xnp6unmZ3UaQpih+QZqIPSLKU5fK5KSN96Vy62V2SBqm0Y8hbgU8Cm4F+4M+AT1GYMHJ3w3snTffm3jdzOnmafD5PJBzBzAiHwmRzWU4nT3Nj743N7qJIU/TGeomGozPeFw1H9QFJloxsPjtluZZMLtPsLskiqTTD9yPA7cAlwOeAbwKfds5d75wrXztQlqHHhh6ju6ObcChMLp/DOUcunyMcCtPd0c3jQ483u4siTbFz6046o50kMokp7YlMgs5oJzu2qlAircnLeYymRzkxfoJj54/x/PnnGRkfIZ6OKwAGTKVysHPODfq3+83stHPufzW4T9JChuJDhCzE1euvZjQ9SjQcZUvXFrrauziXOqeSlwRWR7SD/bv309ffRzwdn5wd3BntZP/u/ZoUIi1DCzPLbCqFwDVm9h9KfrbSnzUauPwVS14hC7FmxRoioQhrVqwBVPIS2bZxGwf3HGTg6ADDo8P0dPWwY+sOBUBpqkwuUwh8WphZKqgUAv8F+KVZfnZM305OlpmdW3eyd3BvocTV1jnZrpKXSEFHtEOzgKWpvJxH0ktqpE+qVmmJmHcvVkekNZWXvLL5LPF0XCUvEZEmybv8ZOhLekldxyc1qzQ7+A/KmhxwBnjMOXesYb2SllJa8so8n+HeV9+rkpeIyCIp7shRDH1anFnqpVI5ePUMbZcD/7eZ7XXOPVj/LkkrKpa8Bk8Msv3q7c3ujojIsla8rq/4pW3YpBEqlYP/eKZ2M1sHPAIoBNaJNqEXEQmuXD43JfR5+ZkXIhepp4o7hszEOXfOzKzenQkqbUIvIhIsxf13S0u8IoutphDo7yRyvs59CSRtQi8iEgyl1/WlvJSu65Omm3PHEDP7rpl9p+zrOHAP8LsVnttjZl83sx+Y2XNm9vt++zozGzCzH/vf15Y85wNmdsTMfmhmby9pv97vyxEz21cchTSzdjP7rN/+pJldXvupaI7iJvSly69AYRP6hJdg4OhAk3omIiILMZGd4HzqPC+OvsiRc0cYig9xJnmGpJdUAJSWUGkk8BfLfnbAWedcYqYHl8kCf+ic+5aZrQaeMbMBoA941Dl3j5ndBdwFvN/MrgVuAa6jsFfxI2b2U865HPAJCtvXfRP4CvAO4GFgD3DeOfcKM7sF+DDwa/PoW8vQJvQiIstDOpuesl6fJnNIq6sUAk8CvwO8AvgucL9zbl6rUDrnRoAR//aYmf0AuAzYBWz3H/YAMAi8329/0DmXBo6Z2RHgBjN7Aehyzj0BYGafAnZTCIG7gL3+sT4HfMzMzDm3ZD5iaRN6EZGlqRj6UtkUKS+lnTlkyakUAh8APOBfgX8PXAv8frUv4pdpXws8CWzwAyLOuREzu9R/2GUURvqKjvttntHRzFEAACAASURBVH+7vL34nGH/WFkziwOXUFjLsPT1b6cwkkh3dzeDg4PVvoWG6XJd/JeN/wWHI2QXq/N5l8cwVo+sZvDEYPM6WGZ8fLylzt9So/NXO527hdH5W5jx8XG+Pvh18i4/+SXzk06mOXZISwu3okoh8Frn3KsAzOx+4KlqX8DMVgH/APxn59zoHJOKZ7rDzdE+13OmNjh3H3AfwFVXXeW2b99eodeLa92JddNmBxd35Gi12cGDg4O02vlbSnT+aqdztzA6f9Ur3YP3O099h8tedVnlJ8k0xw4d44ptVzS7GzKDSiFw8mI1f6StqoObWZRCAPyMc664z/BJM9vkjwJuAk757ceB0trnFuAlv33LDO2lzzluZhEgBpyrqpMtQJvQi4g0XyaXIeWltAevBEalEPgaMxv1bxuw0v/ZAOec65rtif4M3vuBHzjnPlpy1xeB2yjMML4N+EJJ+9+Z2UcpTAy5EnjKOZczszEzewOFcvKtwF+VHesJ4Gbga0vpesBS2oReRGRxeTlvMvAlvaRCnwROpR1Dwgs49o3AbwDfNbNDftsHKYS/h8xsDzAEvNN/refM7CHg+xRmFr/XnxkM8B5gP7CSwoSQh/32+4FP+5NIzlGYXSwiIjKNl/OmLNCs0CdBV9Ni0fPhnHuMma/ZA3jbLM+5G7h7hvangVfO0D6BHyJFRERKaSs2kbk1LASKiIgsJuccE9kJEl5CW7GJzINCoIiILFleziPhJUhkElqgWaRKCoEiIrJk5F1+srybyCRU4hVZAIVAmZekl+TA0QNkEhn6D/ezc+tOLWEjIotiIjsxGfomshPad1ekTkKVHyJBd+jEId50/5u4c+BOTiZOcufAnbzp/jdx6MShyk8WEalSNp9lND3KyNgIR88dZSg+xJnkGVLZlAKgSB1pJFDmlPSS9PX3kc6mibXHiIQixNpjJDIJ+vr7OLjnoEYERWRBnHOksikSmQQJL0Eml2l2l0QCQSFQ5nTg6AESXoJYe2xKe2dbJ/F0nIGjA8tyketi+XsoPkRvrFflb5E6y+QyJDKJyev7NMInsvgUAmVOQ/EhvNzMF157OY/h0eFF7lHjHTpxaNpeznsH97bkXs4iS0Vxdw5tySbSOhQCZU69sV6i4eiM90XDUXq6ema8b6kqL38XqfwtUh3tziHS+jQxROa0c+tOOqOdJDKJKe2JTILOaCc7tu5oUs8ao1j+7mzrnNLe2dZJwkswcHSgST0TaW3FyRwnxk9w7Pwxjl04xonxE4ymRxUARVqURgJlTh3RDvbv3k9ffx/xdJxsPks8Hacz2sn+3fuX3ahYEMvfIrXI5rOkvJS2ZBNZwhQCpaJtG7dxcM9BBo4OkHk+w72vvpcdW3csuwAIwSt/i8xX6T68qWxKM3hFlgGVg2VeOqId7Lp6F90d3ey6eteyDIAQvPK3yGxy+Rxj6TFOJU7xwoUXOHr+KCPjI8TTcQVAkWVCI4EiJcrL38XZwcu1/C1SlMvnpkzkUNATWf4UAkXKlJa/h0eH6enqWbblbwmu0tCX8lKkc+lmd0lEFplCoMgMiuVvkeWkdHFmhT6R1pbOpjk+eryhr6EQKCKyDOVdfnL2bipbGOl7cezFZndLREpcmLjAUHyI4fgwQ6NDF2/HhziZONnw11cIFBFZBor7706O9GXT2opNpMnyLs+J8RNTwt3QaOH28Ogwo+nRpvZPIVBEZAlyzjGRnZgMfRPZCYU+kSYolm1LA95QvDCqd3z0+LzW0Iy1x+iJ9dAb66W3q5ctsS30dvXSG+tl+97tDeu7QqCIyBKRyWVIekkSmQSpbIq8yze7SyLLnnOOCxMXGB4drrlsaxgbVm2gt6v3YtiL9dLTVbgdWxGreIxGUAgUEWlBzjnSuTQpL0UqmyLlpci5XLO7JbIszVW2HYoPMZYZq3iMtnAbPV09hS8/6BVD3pauLbRH2hfhnVRHIVBEpAUUy7vF6/omshMa6ROpo4nsxMWyrV+qXWjZtnRU79LOSwnZ0tqDQyFQRKQJiiN9pdf0KfSJ1K60bFsMd8UJGNWUbTeu2jhlNK8VyraNohAoIrJIihM5iiVehT6R6uTyOU6Mn7h4fd4Cyra9scJIXuntLatbs2zbKIELgdl8lv7D/ezculM7QIhIQ6WzF0f6FPpE5qe8bFs6GePF0RcDWbZtlMCFQC/vcefAnewd3Mv+3fvZtnFbs7u0JCS9JAeOHiCTyChEi8yiGPo0kUNkdrOVbYtB71TiVMVjTJZtZwh6PV09y65s2yiBC4GGEWuPkcgk6Ovv4+CegwozFRw6cYi+/j4SXoI7NtzBvoF9CtEiFEJf6f67Cn0iBcWy7dDoEM+eeJbkweSUyRi1lG2L6+b1xHrY0rWFtnDbIryT5S1wIbCos62TeDrOwNEB7RE7h6SXpK+/j3Q2Taw9RiQUUYiWwFLoE7moHmXbNe1rpozgqWy7uAIbAgG8nMfw6HCzu9HSDhw9QMJLEGufOrSuEC1BUFycubgHr0KfBIlzjvMT56fMsK2lbNvd3s3l6y+f8fq8rvauRXgnMptAh8BoOEpPV0+zu9HShuJDeLmZP80pRMtyo9AnQVNati3d7qwY+sYz4xWPUals++J3X+SKbVcswruRagU2BCYyCTqjnezYuqPZXWlpvbFeouHojPcpRMtSl8llJgNfKpsim882u0sidTeRnZgcwSsGvWLIq6lsWxL0emO9dHd2q2y7RAUuBDoc8XSczmgn+3fv1/VsFezcupO9g3sLobmtc7JdIVqWIoU+WY5Ky7bl6+YNxYc4nTxd8RhzzbZV2Xb5ClwIjIai3LvjXnZs3aEAOA8d0Q72795PX38f8XScbD6rEC1LhpfzJgNf0ksq9MmSlcvnGBkfmTaSV03Ztj3cPnVx5NJFkjXbNpACFwIjoYgmMlRp28ZtHNxzkIGjA2Sez3DvqxWipTV5OW8y8Cn0yVKT8lKFnTBKd8PwJ2O8OKayrdRf4EKg1KYj2sGuq3cxeGKQ7Vdvb3Z3RIDCDkCTO3J4qXn9kRRplmLZtnTyRbVl25CF2LRq02TA64n1TLmtsq1UQyGwRRR35BiKD9Eb69WOHCIzKIa+4nV9Cn3SasrLtuWTMWop25aO6l3WdZnKtlI3CoE1qmdoK92Rw8t5RMNR7cghQiH0FQNfJpfh+fPPN7tLIpNl2/J184pl2/lchrBmxZoZJ2D0dPWobCuLRiGwBvUMbeU7chRpRw4Jolw+d7G8m02RyWUm73O4JvZMgqS8bDsUH+IHL/yA80fPVzXbdtPqTTOO5vXGelndvnoR3onI3BQCq1Tv0KYdOSTIcvnclIkcpaFPpJHmKtsOxYdIeImKx1DZVpY6hcAq1Tu0aUcOCZLS0JfyUqRz6WZ3SZaxpJec3Nu21rLt2hVr6Yn1sC6/jmtedo3KtrKsBC4EZvNZ+g/313wNX71Dm3bkkOUs7/JTJnIo9Ek9zVS2Ld0Zo9bZtqVBr1i2PXbomLY+k2UncCHQy3vcOXBnzdfwFUNb3uUZTY+SyWZoi7TR1d5VU2jTjhyynORdfsqOHBPZiWZ3SZa4bD47tWwbH5oc3Ztv2XZFZAU9XT3T9rXtjfWyefVmlW0lsAIXAg0j1h6r+Rq+nVt38v6B9/P9098HCherGwbAy2Ivqzq0le/IUZxooh05ZCkohr5iiVehT2qR9JIMx0sWSa6xbFsMd1Ou0evq4dLOSzGzRXgnIktL4EJg0YImXsz2f0mN/8eU7sgxPDpMT1ePduSQluScmzKRI51Na9auVOSc41zq3Izr5lVbti2dgFEa9la1rVqEdyKyvAQ2BEJt1/AdOHqAvMtzbfe1hXJwLkNbuFAOHsuM1Tybt7gjh0grKQ19Ka9Q3lXok5nMVLYtHdVLesmKx1DZVmRxBToE1nINX3FiSMhCrFmxZsp9ms0rS10x9BWv61Pok1KlZdvSoDc8qrKtyFIU2BBY68QLzeaV5STv8kxkJzTSJ0Djyralo3oq24q0jsCFQIcjno7XPPFCs3llKfNy3uRI30R2Qku2BFA2n2VkbGQy3NVStl0ZWXmxbFs2qqeyrcjSEbgQGA1FuXfHvTVPvNBs3mCo597QzeKcYyI7wUR2YjL45Vyu2d2SRZD0ktOWUvnh8R9y5rtneGnspXmVbdetXDdt3bwtXVvojfXS3dGtsq3IMhC4EBgJRRY8AUOzeZe3eu4NvZg0czc4ZivbFkf3ziTPVDxGyEJsXr15cgRPZVuR4AlcCKwXzeZdnuq9N3SjFa/nK17Tp9C3fGTzWV4ae2naunnFoFdt2TaWjvHKK185GfQ2r9486/XNIhIMDQuBZva/gV8ETjnnXum3rQM+C1wOvAD8qnPuvH/fB4A9QA64wzn3Vb/9emA/sBL4CvD7zjlnZu3Ap4DrgbPArznnXmjU+5FgqPfe0PWWzqanjPblXb5pfZGFK5ZtJ0fySkb1Xhp7aV7l+5nKtsVRvfUd6yfLtscOHeOKV2nbMxG5qJEjgfuBj1EIakV3AY865+4xs7v8n99vZtcCtwDXAZuBR8zsp5xzOeATwO3ANymEwHcAD1MIjOedc68ws1uADwO/1sD3Iy2sXtfw1Xtv6PL+ZRKZqvau9nLeZOBLekld07fEOOc4mzo7bTmVWsq2xWVUVLYVkXppWAh0zn3DzC4va94FbPdvPwAMAu/32x90zqWBY2Z2BLjBzF4AupxzTwCY2aeA3RRC4C5gr3+szwEfMzNzzqkexvKY2DBf9byGrxFLAJX2744Nd7BvYN+s/cvms1NC33wu4JfmKpZtp822rbFsW359nsq2ItIoi31N4Abn3AiAc27EzC712y+jMNJXdNxv8/zb5e3F5wz7x8qaWRy4BKj80XqZW6oTG2pR72v46r0EUHn/IqHIlL2rB/sGMWyyxKvQ15oSmcTFfW0bXLYVEVks1siBM38k8Msl1wRecM6tKbn/vHNurZn9NfCEc+5v/fb7KZR+h4D/xzl3k9/+s8D7nHO/ZGbPAW93zh337zsK3OCcOztDP26nUFKmu7v7+oceeqhh77nZ8i7P4TOHcThCFprSbhhXr796Snu1xsfHWbWqdcpPFyYucHz0OOFQeNp9uXyOnq4eYitiMzxzdqlsimPnj5F3eRwOwwhZiCvWXsHKyMoF9W99eD2ns4UFd3Mux8ZVG+lq76rqmEGVTqZp72hvyLGdc1zwLjAyMcJLEy8xkhphZGKEExMnGJkY4bx3vuIxQoS4tP1SNq3cxKYVF782r9jMhhUb6Ix0VjxGIzXy/AWBzl/tdO4W5h03veMZ59zrGnHsxR4JPGlmm/xRwE3AKb/9OFBaZ9sCvOS3b5mhvfQ5x80sAsSAczO9qHPuPuA+gKuuuspt3769Pu+mBfUf7ucvvvcX0yY2AMTTce591b0LmtgwODhIK52/fU/u46OHP8r6jvXT7juTPMMfXf5H7Lqh+veb9JILWgIom8+SzqbZ9+Q+/vr7f83aFWtxOH63+3f5+OmPA3A+dZ49P72HX3/1r1fdvyA6dugYV2yrfWKDl/MYGR+Ztq9t8Tq9eZdtiyN5XdMXSW7lsu1Cz1/Q6fzVTueudS12CPwicBtwj//9CyXtf2dmH6UwMeRK4CnnXM7MxszsDcCTwK3AX5Ud6wngZuBruh6wcRMbWlWjtvGrZgkg5xzpXJqUlyKVLezEUSzrdq3oIhwKz7h0SyQcYeOqjTX1T2ZWLNsWg17pdXojYyPzKttesvKSKaXanliPyrYisiw1comYv6cwCWS9mR0H/juF8PeQme2hUOp9J4Bz7jkzewj4PpAF3uvPDAZ4DxeXiHnY/wK4H/i0P4nkHIXZxYHXqFBU6+zWRmvGNn7F/XaLoW+u9fne3PNmPhb5GCkvxcroxVJyykvREengxp4b696/5Wym2bal1+edTU27GmSasIULiySXjOKV7oih2bYiEhSNnB38rlnuetssj78buHuG9qeBV87QPoEfIuWiRoSiama3LrbF2MavuN9uMfhVs9/uyuhK7rnpHu565C7GMmNk81nGMmN0RDq456Z7pgRDKfBy3uRs26HRIY7HjzM0OsSRE0c49eSpeZVtO6IdF3fCKJl12xvrZdOqTS1dthURWSzaMWSZKYaiWz9/Ky+OvUg6m6Y90k53R3dNoajS7NZW2EGjEdv4pbwU45lxxjPjePmZy+vzdU33NTx484M8Pvw4a06s4f03vp8be24MdABsVNm2GPQuWXmJyrYiIhUoBC5jhk35XotW30GjaKHb+OXyOVLZQvBLZBJ1X5R5ZXQlN738Jo6NHuN1L2/IJK+W4pzjTPLMtH1tj48er7psO7ko8vgqtl2zjZ5Yj8q2IiJ1oBBYo1ZdjLk4cuflPDav3jzZXuvI3XKdaJLJZUh5fok3myKTyzS7S0tOedl2coFkf7ZtKpuqeIwpZduya/TKy7bHDh3jiq2aYSgiUi8KgTVo5cWY6z1y16iJJovJOcdEdmIy8KW8lLZfm6fxzPjk6F2tZdv1HeunhLvS8q3KtiIizaMQWKV671BRb/UeuWvG7NtaFEdmf3LhJ2xevZmffdnPErbwZPibbfZu0DnnOJ08PaVUWzrr9lxqxqU3pygv25bua9vT1TPl90ZERFqHQmCVWv0auXqP3JXPvs3ms8TT8brOvl2ITC7Dk8ef5He+/DuTI7ORcGRy9u013dc0tX+toBFl2+Jiyb2xXjat3kQkpP9KRESWGv3PXaVWv0auESN3pbNvM89nuPfV9y549m0t11Q65wrX8vn77BZn8N7+pdvJ5DJTJgqkvBR3PXIXD978YCBm4Y5nxmfc13YoPsTI+Ah5l694jNnKtr2xXtatXKeyrYjIMqMQWKVWv0auUevmFWffDp4YZPvV2xfUx/leU1mcsVtcn2+msu5jw4+RzCZZ3bZ6SvvK6ErGMmM8Pvw4N738pgX1txWUlm2Lpdqh+MU19OZTto2EIoWybdlyKlu6tqhsKyISQAqBVVoK18g1Yt28epnrmspbP38rX/31r2JmpLzUvNbnGxkbIZvLznhfNpflxPiJuvW90TK5zGTZtliqraVsW7qvbXGxZJVtRUSknP4iVGkxdqioh4Wum9coB44eYDwzTld7F7l8jrzL43CEQ2Hi6TifP/z5qkbuNq3eRCQ8869xK+7Nm8wm+cHpHyyobNvd0c2Wri0q24qIyIIoBNagESNtrbruYK1y+Rxe3iOTy+DlvMnb3xr5FikvRVu4rbAbhx+iV7WtqmnkrtX25p1X2fabcx9jtrJtcfuzpfx7ISIirUMhsEb1HGlr5XUH56N0Hb7i12yl3A2rNpB3eZ4///yUUa+QhVi7Ym3VI3fT9ubNZafMDm7EpJDysm3pqN7w6DAT2YmKx5ipbFsMeirbiojIYtBfmiZr9XUHZ5LyUqRzaSayE6SzaTK5zLzX4XvdptdxbuIcLu8Ih8OT7blcjnMT57h+0/VV96d0b94T4yfYuGrjgvfmHc+MTxnNq7VsW76vbeRkhNe/7vUq24qISNMpBNaoXuXbVl13sFjC9XJ+Sdcv56Zz6QUtg/P0yNOsW7GO8xPnyeUv7jYRChVGAp8Zeaam2bzFvXnnyznHqcSpyckX5ZMxzk+cr3iMWsq2x1LHuKTjkqrem4iISCMoBNagnuXbZq47WBzFy+azk9+Lwa9RO2yMjI0QshAvX/vyadcExifidZ3NW4+ybWe0c8pSKirbiojIchG4v2DZfJb+w/01j9wVy7cpL4Vzjnw+jws5Ul6qpvLtYq07mMllJq/XS2fTTdtKrTibN2Qhutq7ptxXy2zesfTYlP1sS8u3CynbFr/Wrlirsq2IiCxLgQuBXt7jzoE7ax65O3D0AOdS5ziTPDO5vIlhhCzE+o71VZdvF7ruoHOObD5LzuXI5XNk89kpI3rFn1tl79xqZ/POVrYtzrq9MHGh4mtGQhEuW33ZtHXzNNtWRESCLHAhEArBotaRuyPnjnBi/AQhCxEOlUxsyOc4MX6Co+ePVtWXudYd/D+7/g/RUHRy4eRsPjt5rV4x3M1npKuVzDSbNxwKEw1Feed17+Qff/CPCy7blq6btyW2hU2rVLYVEREpF7i/jM45jo8er3nk7mzyLMCUAFj8OZ/LcyZ5puLrF0ftcq4wcvey2Mv47M2f5WNPfYyj549yeexy3v3ad9PZ1smxC8eqf5MtqLxse233tXzv9Pc4OXGS0fQoDseffONP5jyGyrYiIiL1E7gQCIXAVuvI3fqO9QDk8/kpoSOfz+OcozPaybnUucmQV/59ppG7H5z+AXc9chfJbJJsLstzp5/j6y98nXtuuodruq9Z2JtdJHmX53Ti9ILKttFQdFrZtvR2I9b8W4pSXorHhh9jZGyETas38eaeNy/o3NT7ePVW7N/a5FqOPH+k5fonIrJUBTIEwtSRu7zLT25hVgxss91e3b6a9R3rJ4NeUchCrF+5nrUr11YcDSyV8lLc9chdZHIZVretntb+4M0PtswfvEwuw/HUcYZ+MnXdvOHRYYbjw6Rz6YrHmK1s2xPrYdOqTdNGWGWq8g8MkXCEj0U+VvMHhnofr95K+/eHm/6Qjzz+kZbqn4jIUhbIEJh3eVze4Vzh68i5I/N+7usvez2x9hjRUJSklySdTdMeaacj2kFHtPptyh4bfoxkNjklAELh2rmxzBiPDz9e07p5tRpNj864QPJQfIgT4ycKE0yemfsY3R3d04JecURPZdva1fsDQ6t/ACnvXyQUYXXb6pbpn4jIUhfIEJjL5yZH7npi1S3BsjK6ktuvv527Hr2LfD5P3uVJZVOMZka5523Vb1M2MjZCNped8b5a9tKtpFi2nQx3JWFvOD7MhXTlsi0USrevuvRVXN199ZSQp7Jt49T7A0OrfQAp1+r9ExFZ6gIXAs2Mjas2ErYwKyIrqh65S3kp7nvmPjau2kgykySdS9MebqejrYP7nrmPt17x1qpCUHHdvJnUsm4e+GXb0eNTdsCotmy7qm0VvbFeNq/azLdGvkXIQnS2dbKnew8PXniQiewESS/J+970PoW+RVLvDwyL/QGkWq3ePxGRRipeD80qLm3UawQuBEIhCK6IrOCem6ofuXts+DEuTFyY3PYs7/KkLMVYZoy1K9ZWPTpR7bp5RaPp0RknYBwfPc7I2Mi81gWcqWxbvF0s2w48P8CPzv1ocjTmkrZLMDONxjRBvT8wNOIDSD21ev9EZP6Mi5cBlV4SVKm9msfW+xi1vl6txyht+87J7/DbX/5tEl4COtlAgwQuBEZCEf7oxj/ixp4baxrBGr4wzOnEaXJcnBSSd3myuWxhdmy8um3eZlo3LxKOsDK8kjvfdCffO/W9msu25bNtS7c+m2/ZtlGjMa0+I7Xe6jHDtdYPDIt1vHqr1L+3vOwtREIRDMPMpnwHprWV/kdbzX2VjlX6gcu5wu252oo/l7c53LTv5c93zs35x2WmfhcNh4a5tPPSKa9X/tqz9XOu81Tp/vn0rfz1Kpnv4veVjlnNcY6HjnPZ6stqPs5831+tC/vXI7CUttcz9LwUfokrL7mymrcTaEkvyXv+6T14OY+1K9ZCnpn/CNdBIEPgQkauTiVOTQmApXLkOJU8Ne9jFcu2pxKn2HX1Lp568SmOjx5nLDPGyfGT7PnSnorHKJZti7tglI7qbVy1ccGzbRsxGrPYM1Jn+6NfjxAA0/9zD1loytd3T32X3/zib3ImeYa7ttzFPf9yD+s71vM3v/w3vGbDawrHmOUPb7FPxcf8713/m9u/dDvJbBIv5xEJReiMdvLxX/g4vbHeGY810x8Vw2AlfPIXP8l7v/Jekl4SL+8RDUUnj3fF2iumvf/yfs10O+WleOT5RxiKD9Eb62XH1h3TFmSfKQiVn3+Az/zKZ3h3/7tJZpPkXI50Ls3q9tXs372f6y69bqZ/bplF2MKsWbGm2d1YsoqXxIg02oGjB0h4CWLtsYa/VuBCYDafZeD5gZpHns6k5l7+5Wzi7JSfZyvbDseHL862reDSzksLAa9sAkZp2bZR6j1aVM2M1OJ2fKVfZtPbil9hCxMOhafdbqakl+S2z9/GT+I/AQqjxhcmLnBh4gK3ff42nv2dZ6vaseaNPW/kyd96koGjAwyPDtPT1TNjyJqvt1z+Fp76rafqdrxDJw7R199HwktM7n7zJ9/4k5q2aAT46U0/zRO/+QQDRwfIPJ/h3lffu6D+iYi0uqH4EF7OW5TXCmQI/PPH/7zmkadKawA+PfI0f/DVP6i+bNt12bSgVyzfroisqKqP9TStXJ3PMpYZoyPSMa9rKsuD2jd+8g0mchN0tXUBF0eVutq7GM2M8qOzP2L31bsLZb5lsJTMl374JV6Iv4BhhENhzGxysfIX4i/w5R9+mV995a9WdcyOaEdVu9ws1vGSXpK+/j7S2fSUT7CJTKKmLRrL+zd4YpDtV29fcD9FRFpZb6yXaDi6KK8VuBBoWNVrjZXOth3PjM/52BfHXuTFsRenta9uWz3lmrx6l20b6Zrua3jw5gd5fPhx1pxYw3/92f/KW694K13tXURCEcKhMGELT+6nXByJmynEJb0kzrkZf8Fz+RwnEycX7Zd/MQw8P0A+n6ct0jalPRwKk8lmeOTYI1WHwFY1Wwmjs62TeDpe9RaNIiJBtHPrTvYO7iWRSTT8EoTAhcCi8tmt8Yn45HIqtZZtAa5YcwWv3fjaKaN5PV09rFmxZs6RrVbaCixsYaLhKG3hNqIh/3s4yisvfSX/+o1/Zfv122vu11yfcKLhKD1d1a3buFQ45/DyHnmXJ5PLEA3556C2a8Bb0lwlDC/nMTxa3aQpEZEg6oh2sH/3fvr6+4in4xBqXFYLXAicyE0wNjZGyEIkvAR/+o0/5YOPfrBwoiuIhqKsWbGGM8kzM4bCiEW44/V38PNX/nxVfVqsrcA+8vaPUSMWcAAAGg9JREFU8OoNryYSikx+Fa+dK/3eyDLsbJ9wEpkEndFOdmzd0bDXboYdL9/BA4ceIJVNTbZl81my+SwRi3DT1uWzvE5QA76ISL1t27iNg3sOMnB0gN0f3N2wRVEDFwJPZU7BxMWfR8ZHptxfLNuWr5vXG+tlQ+cGPvPdz/Dxpz7O+fT5acde3baac6lzVfWnnlt3RUIRsvksH3z0g+TyOdatWDc50zLpJfngox+s+bqsein/hFOcPNAZ7WT/7v3L7oL/N/a8kZybZTa5y/GGLW9Y5B41TtACvohII01erz3O6Ua9RuBCYFFxKYrffO1vctX6q+Zdtr1k5SWMe+OT5bzSdbvGvXHWrVxXVT+q3RorEorQFm6jPdxONBwlGopOfjcz+g/3k8lniK1o3euytm3cxiO3PsJHnvgIPz77Y6685Er+8I1/yPqO9U3tVyN84t8+QdjC5Fxu2lIoYQvzyac/yZ+97c+a2MP6CVrAFxFZ6gIXAi9bcRmnQqcIWYi1K9bymo2vqXndwNLJHLm8P9pT5TVesy3GbBi5fI7R9CgbV22kLdxGW7it4pInS+G6rPJlRL598ts8/OOHa15GpJX96OyPcDjaw+1kXeHfORKKELEIXt7jx+d+3OQe1ldpCaMeS86IiEjjBC4EGkasPcb6jvWMpker3vHibOosa1asIT4RJ5PNkCdPiBCRUITYihjnJqorB/d09dAWaZtx54OV0ZVcs/4autq75n28Vr8uq1HLiLSqn7rkpzBsyn7NuXyOHDnCFubKdctvFf16L2EjIiKN0dyVdJskno5z7MIx8i5f036reZcnky8EQIA8/s9zHM8wVkZWsmbFGjau2sjLYi/jynVX8huv+Q1i7THS2fTk8ipmVvN1VDu37qQz2slYeowLExc4lTjFhYkLjKXHWuK6rOIyIuXT3jvbOkl4CQaODjSpZ43xnp95z2QpeHJ3DStsNZZzOX7ndb/T5B6KiEhQBW4ksCiXy3Fu4hzXb7q+qudd130dZ1OFXUFK90h0OM6mznJt97UYRnuknRWRFayIrKA93E57pH3G49X7OqqOaAcfePMH6PtCH16usCRJyEJEw1H276r9uqykl+TA0QNkEhn6D/ezc+vOmo61FMrV9fStkW+xoXMDJxMnyTv/Q4PLYxgbOjfw7Mizk9u9iYiILKZAhkAvXwghl7RdwjMjz1R1TeDff/fvCRMmR27aMjFhwnzlx1/hwzd9uKplVup5HVXSS/KhwQ+Rz+enlJbz+TwfGvwQv3TVL1V93NJr+O7YcAf7Bvaxd3BvTdfwtXq5ut6G4kOYFT4UFMNvcR1GM1t2oRcufmAo7h1c6wcGERFprECGwOLM3vhEnOH4/P8IR0IRhkeHcThWhFf8/+3dfXRcdZnA8e9zJ5P3vqdpoG+0peWlCOVFtBW0vG5VENxTFQUV15cjKy7CwgIHddcVPaIF2eIeOXrAY1lWulbpIodCC2wF5U3EUigEaEopaZuUtGnTvDTJzH32j3vvdJLOTOdOJp1M5vn05OTm3ju/ufNkmvvM7zWRTIoIUSdKX7yPt/e+ndM8e/nqR/WHN/7A1r1bccTrpxhwXZete7fy8JsP8+n52a9QMbgPX5lTxriKcTn34Su1aUSm1Exhd89uHBwqyipwxPvuui67e3ZTX1Nf6EvMa9KWau3gXD8wGGOMGV4l2Scw4kQSI3szDeSIOlHGVoylobaBWeNnMXvCbE6ZcgqOOPTGe3HVxVWXuBvnQOwAguTc0b+7v5vVjatZ/vxyVjeupru/O6dygmXKHGfgr9ZxHFzX5fGmx0OVF/Thq4pWsffAXmLxGHsP7KUqWpVTH76g+buirIJ9vfto625jX+8+KsoqhjSNSL7iN1wUJe7GUfW/B7XIBV4xZEPLBhbds4gb1t3AHc/ewQ3rbmDRPYvY0LIhdFmDPzDUVdcl+rteufrKEfc7McaYUleSNYHg1YwBTKz05vUThMqySqqiVd73sqqU6/le9f6ruO3Pt6HogOlaXHVz7uh/RGtPQlZSbtu3ja6+LrZ3bMdVl/7J/TR3NOOIw/jK8Tk1ZybmCXzmdt7a8xZzJ87lnxflPk/gSK59au1qZWz5WHb37Eb9f73xXgRhUtUkdnXvKti15Xuktq0dbIwxxaUkawKD/nL1NfW8r/59zBg3g2MnHsv0cdOpq66jtrw2ZQIIXkf/oAkvqAkMOvzX19Tzt51/C3Ut+a49uWD2BTiO401D4sbpj/cnth3H4fxZ4eZEDJozXXWJON6SchEngqt+c2Z1+ObMDS0bOH/F+ax6fRUv7niRVa+v4vwV54/K2qcpNVPo6Oug3PHmeRTEm/PRKaejr6OgzcH5HqldaoN+TH6M9Fp8Y0azkkwCJ1ZPZPq46UyumcylJ1xKZVll1v34tu3bRtyNDxgZDAcndw57o8v3jfji4y6mobaBvngfvfFe+t1+euO99MX7aKht4KLjLgpVXiDV6/U3Qsl30lY0U86I16dURLy+mkHcCtgcnO+krdQG/Zihy2d3BGNMeCWZBL7X9R7NHc3cfNbNofugja8Yn2jaSxZMETO4KexwhqP2pDJSSdSJUuaUJQaIRJ0olZHK0GW1drUyqWoSCPTGvH6QvbFeEG8JvV1d4Zozi6X2KV+1E0H8HHEG9Al0xCl4c3C+k7Zgjsquvq4B+0froB8zNCO9Ft+YUlCSSSCQmDIl7B+aja0bD0kAA4qysXVjqPIOdyOur64PlYysbVqLi8v8+vnMHDeTqWOmMnPcTObXz8fFDZ1kzRg3A1WlN9ZLXL2l8eIapzfWi6qGThSCpM1Vd8Bk1q66I6b2KZ+1EzPGzaCmvIZ5k+YxoXJCYrnCeZPmUVNeU9DasXwnbcM16MeMTkVTi2/MKFaSA0PiGsdVl7fb3w49Zcqmtk0Zj7/23muhriXTlCkODrc+fSs9sZ6sBzwESVYwcCNZLknWaUedRkvXoUvrKUpLVwunHnVqqPJmjJuBqy6NbY3E3FhiMusyp4y66rqcap/yOeVMvgdLXDjnQm5cdyONbY2A14+0/UA77QfamTluZkFrx/I9UTnY2sEme9aH1JjCK9maQEXpd/t5dPOjoR63Zc+WjMeb2ptClRfciKORKDv272BL+xZ27N/hDUwR749hmKaSfNeM3f7n2zMev+OZO0KVd9aMs2jtaqUn1pNIAmNujJ5YD61drXxoxodClZfv2qdhqZ3w+/8Fy8cFNaph+1MOhyBpW3bBMq5fdD3LLljGM19+ZkijqoM5L68+82ouOf4SSwBNStaH1JjCK9kkMPDO3ndCnZ88LUwqEUk9qjgbQTOzouzv209Pf0/oZCTfTXyPNmVOkh/b8lio8p7Y8kRi2bRkguCqy5NvPxmqPDg45czSE5dyxtFnsPTEpTz+hcdzSmQOaa7u9JqrY26MfQf2cd/G+0L1EVzbtJae/h5vTWj/NQuCIw49/T0josnLkjZTCNaH1JjCK/kkMKzBTayDjasMNzAkufmxJlpDbbSWmmgNPX09tHS2JKafSZapqSTfNWMxN5bxeLrmnHTWbVkHChWRCm/KGbwpZyoiFaCEnswakqacec2fcua13KecSW6ubu5oprW7lW37trGxdSPtPe089c5TofoINu1poqWzBVUlGokm1nFWVVo6W0LXHJuRx6Y4yY31ITWm8EqyT2CyKbVTQp1/7qxzeW77cxmPh7G2aS17evbQ1t02oI+cIKgqHb0dhySeh2sqWdCwgIc++xDXPnotTe1NzJkwh58u+Skzxs0IdW0AYyrGZD5envl4KqrehMmBuBsnThwHZ8hTzgRy7cN31oyzeK/7vcQIXlUl5sYSzbhHjzmaMqcs6/LbutsAUq7gEo/HE8dNcRrJE5UXA+tDakxhlXxNYE9/T6jzd3VmntLjcMcH27xnMzs7d3qDP9x+4hqn3+2nz+0jpjE6ejsGnJ9NU8nKV1cyd/lcVjeu5uXWl1nduJq5y+ey8tWVoa4NoLO3M/PxvszHB/vwjA/j4qacYsfF5ezpZ4cqb/CydsFo41yXtfvTtj8xvmI8MTdGX7yPfrc/ca0RJ5J4vdn2EZxUPQnwEt1kwc+5rpJiCs+mOMkP645gTOEUfRIoIktE5A0R2SwiN4V9fNgk8LB95JrC9ZFr2d9y2CbXME0lbd1tXPHgFfS5fbh4TckuLn1uH1c8eEXomqd0K6cEyiLhKpMryioS/SY16R94/SkrohWhyguWtUs033a10tzRTGNbI119XaFHGDbtaWJ3z25vVY9IeeJaBSHmxrw5En3ZjGA8duKxNNQ2pJwnsKG2gTkT5oS6PjNy2BQnxphiV9TNwSISAf4TuABoBv4iIg+patbztGxpzzzad7D2nvaMx3d37w5VXvP+5ozHF89czOUnX551U8n3138/bVIZc2Pc+sdbufOjd2Z9fSdPOZk397yZ/vjkk7MuC6C5w3u9ggyoDQwGTQTHsxUsa+fgDEhYXddf1i7ksmxBkjygrLi3zGDQNBzIZgTjhXMuZGLVRKrKqohrnGgkyrSx04hIhKpolXV+L2I2xYkxptgVdRIInAlsVtUtACLyAHAJkHUSeCB+INQTVkWr6Ip1pT1eXR6uKeP1917PePzNPW9yyfGXZF1evkfzPv3O0xmPP7XtqVDltXW3ISJURioT6y474uCIQ8yN5dxHLlXzsr8RSnLzbcSJJEaDByOag+Qw2xGMyXPxdfV77xsRoSpaZZ3fi5xNcWKMKXaiWsDFS4dIRJYCS1T1K/7Pnwc+oKpXDzrva8DXAOrq6k6/afnBVuOqsipOnHxi1s+5pX0L7QfS1wZOqJzA7Amzsy6vsa0xkRykUhOt4fi647Mub9OuTRkT28qySuZPnp91eS/tfGlAgjWtYhrNvQdr6wThtKNOy7q81q5Wtnds9x6btF5z8D6cOnYqU2qyH6yzq2sXLZ0t3hx8Se9lESEiEY4acxSTqydnXd7eA3t5t+NdbzBIUnmKJpLAiHjJ4awJs6gqq8qqXFdd9vfux+1zccodxlSMOex0Q2agzs5OamtrC30ZCcEockUH/C6DDwzH1x0/on7HIy1+xcbilzuL3dCcc845f1XVM4aj7GKvCUw1lvSQrFZVfwH8AmD67Ol6/ZvXJ4798uO/ZPEZi7N+wtZXW/nq776a6G+XzMHhN0t/w+L52Zf38GMPc/tz6Sdkvn7R9Xx98dezLu/BNQ+y/IXlaY9f84Fr+Mbib2Rd3uW3X86Ozh2Jn5fNW0Zy/I4eczTbP7s96/JWN67mzjV30tbdhqtuIrlyxKGuuo67Tr2LxccvDlXeXevuYkz5GDp6O+iL91EeKWdsxVj29+1n2SnLQpXX3d/NonsW0dPfQ1zjifIEIaYxvnnmNzlmwjE5j2Bcv349ixdnfz3moJEYu4ktEw8ZHRysuDLSRgePxPgVE4tf7ix2I1exJ4HNQHKbyzRgR5pzD9FQ08DnTvlcqCe8+LiLOXbSsWzZvYU48YM1RESYPWk2F827KFR5N519E3f95S764n2HHCuPlHPjh24MVd53PvIdfv7iz+l3D+2rFHWifPvD3w5V3qpPr2LRvYvSH//UqlDlDe4jFyRZufaRC5aN6+nvGTCVzlDXvw1u7I44iMiIvbGbwrIpTowxxWzktFXk5i/AXBGZJSLlwGXAQ4d7UE20hhPqTmDNFWtC/7GujlazculKTqg/gYbaBiZUTqChtoET6k9g5dKVocurq65jxaUrqCyrJCL+5MkSobKskhWXrgg9hUhddR33ffI+KiIVOHjzDTo4VEQquO+T94Uub+H0hSyZvSTlsSWzl7Bw+sJQ5QVJVlW0ChFJJFm59pEbjglnh2MpNTN62RQnxphiVdQ1gaoaE5GrgceACHCvqm7K9JjySDn3//39Q/q0vqBhAc995bm8ffr/zEmf4bzZ53HHs3fw1p63mDtxLtctvC7nOeTyXd6az6/h2XefZelvlyIIR485mlWfWhU6AQzku/ZkOGpjghu7McYYM1oVdRIIoKqPAI9ke36ZU5aXm3u+k4S66jp+eN4PR2x5C6cvZPt121m/fn2oPoDp5Dt+lrQZY4wx4RR7c7AxxhhjjMmBJYHGGGOMMSXIkkBjjDHGmBJkSaAxxhhjTAmyJNAYY4wxpgRZEmiMMcYYU4IsCTTGGGOMKUGWBBpjjDHGlCBLAo0xxhhjSpCoaqGv4YgSkf3AG4W+jiJWB7QV+iKKmMUvdxa7obH4DY3FL3cWu6E5TlXHDEfBRb9sXA7eUNUzCn0RxUpEXrT45c7ilzuL3dBY/IbG4pc7i93QiMiLw1W2NQcbY4wxxpQgSwKNMcYYY0pQKSaBvyj0BRQ5i9/QWPxyZ7EbGovf0Fj8cmexG5phi1/JDQwxxhhjjDGlWRNojDHGGFPyijIJFJF7RWSXiLw6aP83ReQNEdkkIj9O2n+ziGz2j/1d0v7TReQV/9hyERF/f4WIrPT3Py8ixxyp13YkpIqfiCwQkedEZIOIvCgiZyYds/j5RGS6iPyfiLzuv8+u8fdPFJF1IvKW/31C0mMsfr4M8fuJiDSKyEYReVBExic9xuLnSxe/pOPXi4iKSF3SPosfmWNn947Dy/B/1+4dWRCRShF5QURe9uP3PX9/Ye8dqlp0X8CHgdOAV5P2nQM8DlT4P9f7308EXgYqgFlAExDxj70ALAQEWAN81N//j8Dd/vZlwMpCv+YjEL+1Sa//Y8B6i1/K2B0FnOZvjwHe9GP0Y+Amf/9NwG0Wv1DxuxAo8/ffZvELFz//5+nAY8A7QJ3FL+v3nt07hhY/u3dkFz8Bav3tKPA88EEKfO8oyppAVX0K2DNo91XAj1S11z9nl7//EuABVe1V1beBzcCZInIUMFZVn1UvYiuAS5Me82t/exVwXpBpjwZp4qfAWH97HLDD37b4JVHVnar6kr+9H3gdmMrA1/xrBsbC4udLFz9VXauqMf+054Bp/rbFL0mG9x/AT4F/wfu/HLD4+TLEzu4dWcgQP7t3ZEE9nf6PUf9LKfC9oyiTwDTmAWf7VaB/FJH3+/unAu8mndfs75vqbw/eP+Ax/o1pHzBpGK99JPgW8BMReRdYBtzs77f4peFXtZ+K94luiqruBO+PJVDvn2bxS2NQ/JL9A96nW7D4pZUcPxH5BLBdVV8edJrFL4VB7z27d4Q0KH5278iSiEREZAOwC1inqgW/d4ymJLAMmIBXvXoD8D9+BpwqC9YM+znMsdHqKuBaVZ0OXAvc4++3+KUgIrXA74BvqWpHplNT7LP4pYmfiNwCxID7g10pHm7xS4ofXrxuAb6b6tQU+0o6finee3bvCCFF/OzekSVVjavqAryWjjNF5KQMpx+R+I2mJLAZ+L1f5foC4OKtV9iM11cmMA2vurqZg01OyftJfoyIlOFVcQ9uPh1tvgj83t/+LRB07rX4DSIiUbw/gverahCzVr+aHv970KRk8RskTfwQkS8CFwGX+80cYPE7RIr4zcHrM/SyiGzFi8VLItKAxW+ANO89u3dkKU387N4RkqruBdYDSyjwvWM0JYGrgXMBRGQeUI63YPVDwGX+qJlZwFzgBb/adb+IfND/1PcF4H/9sh7Ce2MDLAWeTLopjVY7gI/42+cCb/nbFr8k/mu9B3hdVe9IOpT8mr/IwFhY/Hzp4iciS4AbgU+oanfSQyx+SVLFT1VfUdV6VT1GVY/BuxGcpqotWPwSMvzftXtHFjLEz+4dWRCRyeLPeiAiVcD5QCOFvnfoCBg1E/YL+A2wE+jH+4P3Zbz/uP8FvAq8BJybdP4teCNr3sAfRePvP8M/vwn4GQcnz67E+0SzGW8UzuxCv+YjEL+zgL/ijUZ6Hjjd4pcydmfhVa9vBDb4Xx/D63fxBN4fwCeAiRa/UPHbjNeXJdh3t8Uv+/gNOmcr/uhgi19W7z27dwwtfnbvyC5+JwN/8+P3KvBdf39B7x22YogxxhhjTAkaTc3BxhhjjDEmS5YEGmOMMcaUIEsCjTHGGGNKkCWBxhhjjDElyJJAY4wxxpgSZEmgMcYYY0wJsiTQGDMqiEiDiDwgIk0i8pqIPCIi80SkR0Q2+PtW+KseICKLRWSffyz4Ot8/Fvd/3iQiL4vIdSLiJD3uYRH5UtLj+kTkFX/7R2mu70oR+VmK/VtFpM7fVhG5L+lYmYi8JyIPJ5chIrckPXc8afuf8h9ZY8xoVVboCzDGmKHyZ85/EPi1ql7m71sATAGaVHWBiESAdcCnObg28dOqelGKInvUW+MTEakH/htvCaZ/DU5Q1V8Bv/LP2Qqco6ptQ3wpXcBJIlKlqj3ABcD2wSep6g+AH/jP3RlcqzHGhGE1gcaY0eAcoF9V7w52qOoGvFVIgp/jeLPoTw1TsKruAr4GXO0nm8NtDfBxf/uzeCv8GGNM3lkSaIwZDU7CW7oqLRGpBD4APJq0++xBzcFzUj1WVbfg/b2sz9cFZ/AA3pqhlXhLTT1/BJ7TGFOCrDnYGDPazRGRDXgLsK9S1Y1Jx9I1B6dyJGoBUdWNInIMXi3gI0fiOY0xpclqAo0xo8Em4PQ0x5r8PnPHAh8UkU+ELVxEZgNxYFfulxjKQ8AyrCnYGDOMLAk0xowGTwIVIvLVYIeIvB+YGfysqjuBm4CbwxQsIpOBu4Gfqarm53IP617g31X1lSP0fMaYEmRJoDGm6PnJ2SeBC/wpYjYB/wbsGHTqaqBaRM72fx7cJ3Cpv78qmCIGeBxYC3wvD5d6pYg0J31NS/N6mlX1P/LwfMYYk5YcuQ+2xhhjjDFmpLCaQGOMMcaYEmSjg40xJo9E5EvANYN2/1lVv1GI6zHGmHSsOdgYY4wxpgRZc7AxxhhjTAmyJNAYY4wxpgRZEmiMMcYYU4IsCTTGGGOMKUGWBBpjjDHGlKD/B7GDZp6ZLi/FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_column = 'PURCHASES'\n",
    "x_column = 'CREDIT_LIMIT'\n",
    "columns = [x_column, y_column]\n",
    "df_cc_limit_payments = df_cc_all[columns]\n",
    "df_cc_limit_payments = df_cc_limit_payments[df_cc_limit_payments['CREDIT_LIMIT']>=16000]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.regplot(x=x_column, y=y_column, data=df_cc_limit_payments, color='green', marker='.', scatter_kws={'s': 200})\n",
    "ax.set(xlabel=x_column, ylabel=y_column) \n",
    "ax.set_title( x_column + ' vs ' + y_column) \n",
    "plt.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_column = 'CASH_ADVANCE'\n",
    "y_column = 'PAYMENTS'\n",
    "columns = [x_column, y_column]\n",
    "df_cc_limit_payments = df_cc_all[columns]\n",
    "df_cc_limit_payments = df_cc_limit_payments[df_cc_limit_payments['CASH_ADVANCE']>=10000]\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.regplot(x=x_column, y=y_column, data=df_cc_limit_payments, color='green', marker='.', scatter_kws={'s': 200})\n",
    "\n",
    "ax.set(xlabel=x_column, ylabel=y_column) \n",
    "ax.set_title( x_column + ' vs ' + y_column) \n",
    "plt.grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}