Machine Learning Unsupervised - W3.Solutions().ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 679,
     "status": "ok",
     "timestamp": 1633796477827,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
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     "user_tz": -420
    },
    "id": "qTV3RUfz8iaF",
    "outputId": "94a52202-08a3-482a-aad9-83bf813aa43c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numpy version :  1.19.5\n",
      "pandas version :  1.1.5\n",
      "seaborn version :  0.11.2\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "print('numpy version : ',np.__version__)\n",
    "print('pandas version : ',pd.__version__)\n",
    "print('seaborn version : ',sns.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "flM4AYOqCevl"
   },
   "source": [
    "# Data Pre-Processing & EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "tDZO81V5-Clt"
   },
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 11,
     "status": "ok",
     "timestamp": 1633796478169,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "A_S4_YHU9K-_",
    "outputId": "ca68e54d-95bd-416c-a8c8-8fe1827a5cf0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 236
    },
    "executionInfo": {
     "elapsed": 833,
     "status": "ok",
     "timestamp": 1633796478998,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "uE9kcD7R9WPN",
    "outputId": "78ecf0c0-7c9e-4023-b9e7-0a9b527343ff"
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>MEMBER_NO</th>\n",
       "      <th>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>WORK_CITY</th>\n",
       "      <th>WORK_PROVINCE</th>\n",
       "      <th>WORK_COUNTRY</th>\n",
       "      <th>AGE</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>BP_SUM</th>\n",
       "      <th>SUM_YR_1</th>\n",
       "      <th>SUM_YR_2</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_FLIGHT_DATE</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>AVG_INTERVAL</th>\n",
       "      <th>MAX_INTERVAL</th>\n",
       "      <th>EXCHANGE_COUNT</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Points_Sum</th>\n",
       "      <th>Point_NotFlight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>54993</td>\n",
       "      <td>11/2/2006</td>\n",
       "      <td>12/24/2008</td>\n",
       "      <td>Male</td>\n",
       "      <td>6</td>\n",
       "      <td>.</td>\n",
       "      <td>beijing</td>\n",
       "      <td>CN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>210</td>\n",
       "      <td>505308</td>\n",
       "      <td>239560.0</td>\n",
       "      <td>234188.0</td>\n",
       "      <td>580717</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>3.483254</td>\n",
       "      <td>18</td>\n",
       "      <td>34</td>\n",
       "      <td>0.961639</td>\n",
       "      <td>619760</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28065</td>\n",
       "      <td>2/19/2007</td>\n",
       "      <td>8/3/2007</td>\n",
       "      <td>Male</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>beijing</td>\n",
       "      <td>CN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>140</td>\n",
       "      <td>362480</td>\n",
       "      <td>171483.0</td>\n",
       "      <td>167434.0</td>\n",
       "      <td>293678</td>\n",
       "      <td>3/25/2014</td>\n",
       "      <td>7</td>\n",
       "      <td>5.194245</td>\n",
       "      <td>17</td>\n",
       "      <td>29</td>\n",
       "      <td>1.252314</td>\n",
       "      <td>415768</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55106</td>\n",
       "      <td>2/1/2007</td>\n",
       "      <td>8/30/2007</td>\n",
       "      <td>Male</td>\n",
       "      <td>6</td>\n",
       "      <td>.</td>\n",
       "      <td>beijing</td>\n",
       "      <td>CN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>135</td>\n",
       "      <td>351159</td>\n",
       "      <td>163618.0</td>\n",
       "      <td>164982.0</td>\n",
       "      <td>283712</td>\n",
       "      <td>3/21/2014</td>\n",
       "      <td>11</td>\n",
       "      <td>5.298507</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>1.254676</td>\n",
       "      <td>406361</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21189</td>\n",
       "      <td>8/22/2008</td>\n",
       "      <td>8/23/2008</td>\n",
       "      <td>Male</td>\n",
       "      <td>5</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>CA</td>\n",
       "      <td>US</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>23</td>\n",
       "      <td>337314</td>\n",
       "      <td>116350.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>281336</td>\n",
       "      <td>12/26/2013</td>\n",
       "      <td>97</td>\n",
       "      <td>27.863636</td>\n",
       "      <td>73</td>\n",
       "      <td>11</td>\n",
       "      <td>1.090870</td>\n",
       "      <td>372204</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39546</td>\n",
       "      <td>4/10/2009</td>\n",
       "      <td>4/15/2009</td>\n",
       "      <td>Male</td>\n",
       "      <td>6</td>\n",
       "      <td>guiyang</td>\n",
       "      <td>guizhou</td>\n",
       "      <td>CN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>152</td>\n",
       "      <td>273844</td>\n",
       "      <td>124560.0</td>\n",
       "      <td>130702.0</td>\n",
       "      <td>309928</td>\n",
       "      <td>3/27/2014</td>\n",
       "      <td>5</td>\n",
       "      <td>4.788079</td>\n",
       "      <td>47</td>\n",
       "      <td>27</td>\n",
       "      <td>0.970658</td>\n",
       "      <td>338813</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MEMBER_NO   FFP_DATE  ... Points_Sum Point_NotFlight\n",
       "0      54993  11/2/2006  ...     619760              50\n",
       "1      28065  2/19/2007  ...     415768              33\n",
       "2      55106   2/1/2007  ...     406361              26\n",
       "3      21189  8/22/2008  ...     372204              12\n",
       "4      39546  4/10/2009  ...     338813              39\n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_csv('flight (1).csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 29,
     "status": "ok",
     "timestamp": 1633796479000,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
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     "user_tz": -420
    },
    "id": "UpjLK-XT9wsn",
    "outputId": "68305a8a-540d-4f09-98e5-2eabf436a704"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 62988 entries, 0 to 62987\n",
      "Data columns (total 23 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   MEMBER_NO          62988 non-null  int64  \n",
      " 1   FFP_DATE           62988 non-null  object \n",
      " 2   FIRST_FLIGHT_DATE  62988 non-null  object \n",
      " 3   GENDER             62985 non-null  object \n",
      " 4   FFP_TIER           62988 non-null  int64  \n",
      " 5   WORK_CITY          60719 non-null  object \n",
      " 6   WORK_PROVINCE      59740 non-null  object \n",
      " 7   WORK_COUNTRY       62962 non-null  object \n",
      " 8   AGE                62568 non-null  float64\n",
      " 9   LOAD_TIME          62988 non-null  object \n",
      " 10  FLIGHT_COUNT       62988 non-null  int64  \n",
      " 11  BP_SUM             62988 non-null  int64  \n",
      " 12  SUM_YR_1           62437 non-null  float64\n",
      " 13  SUM_YR_2           62850 non-null  float64\n",
      " 14  SEG_KM_SUM         62988 non-null  int64  \n",
      " 15  LAST_FLIGHT_DATE   62988 non-null  object \n",
      " 16  LAST_TO_END        62988 non-null  int64  \n",
      " 17  AVG_INTERVAL       62988 non-null  float64\n",
      " 18  MAX_INTERVAL       62988 non-null  int64  \n",
      " 19  EXCHANGE_COUNT     62988 non-null  int64  \n",
      " 20  avg_discount       62988 non-null  float64\n",
      " 21  Points_Sum         62988 non-null  int64  \n",
      " 22  Point_NotFlight    62988 non-null  int64  \n",
      "dtypes: float64(5), int64(10), object(8)\n",
      "memory usage: 11.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 310
    },
    "executionInfo": {
     "elapsed": 19,
     "status": "ok",
     "timestamp": 1633796479002,
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      "displayName": "Dwirany Dian Audry Sinaga",
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   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>MEMBER_NO</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62568.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62437.000000</td>\n",
       "      <td>62850.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.000000</td>\n",
       "      <td>62988.0000</td>\n",
       "      <td>62988.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>31494.500000</td>\n",
       "      <td>4.102162</td>\n",
       "      <td>42.476346</td>\n",
       "      <td>11.839414</td>\n",
       "      <td>10925.081254</td>\n",
       "      <td>5355.376064</td>\n",
       "      <td>5604.026014</td>\n",
       "      <td>17123.878691</td>\n",
       "      <td>176.120102</td>\n",
       "      <td>67.749788</td>\n",
       "      <td>166.033895</td>\n",
       "      <td>0.319775</td>\n",
       "      <td>0.721558</td>\n",
       "      <td>12545.7771</td>\n",
       "      <td>2.728155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18183.213715</td>\n",
       "      <td>0.373856</td>\n",
       "      <td>9.885915</td>\n",
       "      <td>14.049471</td>\n",
       "      <td>16339.486151</td>\n",
       "      <td>8109.450147</td>\n",
       "      <td>8703.364247</td>\n",
       "      <td>20960.844623</td>\n",
       "      <td>183.822223</td>\n",
       "      <td>77.517866</td>\n",
       "      <td>123.397180</td>\n",
       "      <td>1.136004</td>\n",
       "      <td>0.185427</td>\n",
       "      <td>20507.8167</td>\n",
       "      <td>7.364164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>368.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>15747.750000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2518.000000</td>\n",
       "      <td>1003.000000</td>\n",
       "      <td>780.000000</td>\n",
       "      <td>4747.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>23.370370</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.611997</td>\n",
       "      <td>2775.0000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>31494.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5700.000000</td>\n",
       "      <td>2800.000000</td>\n",
       "      <td>2773.000000</td>\n",
       "      <td>9994.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>44.666667</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.711856</td>\n",
       "      <td>6328.5000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>47241.250000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12831.000000</td>\n",
       "      <td>6574.000000</td>\n",
       "      <td>6845.750000</td>\n",
       "      <td>21271.250000</td>\n",
       "      <td>268.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>228.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.809476</td>\n",
       "      <td>14302.5000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>62988.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>505308.000000</td>\n",
       "      <td>239560.000000</td>\n",
       "      <td>234188.000000</td>\n",
       "      <td>580717.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>985572.0000</td>\n",
       "      <td>140.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          MEMBER_NO      FFP_TIER  ...   Points_Sum  Point_NotFlight\n",
       "count  62988.000000  62988.000000  ...   62988.0000     62988.000000\n",
       "mean   31494.500000      4.102162  ...   12545.7771         2.728155\n",
       "std    18183.213715      0.373856  ...   20507.8167         7.364164\n",
       "min        1.000000      4.000000  ...       0.0000         0.000000\n",
       "25%    15747.750000      4.000000  ...    2775.0000         0.000000\n",
       "50%    31494.500000      4.000000  ...    6328.5000         0.000000\n",
       "75%    47241.250000      4.000000  ...   14302.5000         1.000000\n",
       "max    62988.000000      6.000000  ...  985572.0000       140.000000\n",
       "\n",
       "[8 rows x 15 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nums= ['MEMBER_NO','FFP_TIER','AGE','FLIGHT_COUNT','BP_SUM','SUM_YR_1','SUM_YR_2','SEG_KM_SUM','LAST_TO_END','AVG_INTERVAL','MAX_INTERVAL','EXCHANGE_COUNT','avg_discount','Points_Sum','Point_NotFlight']\n",
    "df[nums].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 190
    },
    "executionInfo": {
     "elapsed": 19,
     "status": "ok",
     "timestamp": 1633796479003,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "vLNNfjdXAP0k",
    "outputId": "c2376d61-06b6-40bc-803d-ad71d153c768"
   },
   "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>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>WORK_CITY</th>\n",
       "      <th>WORK_PROVINCE</th>\n",
       "      <th>WORK_COUNTRY</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>LAST_FLIGHT_DATE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>62988</td>\n",
       "      <td>62988</td>\n",
       "      <td>62985</td>\n",
       "      <td>60719</td>\n",
       "      <td>59740</td>\n",
       "      <td>62962</td>\n",
       "      <td>62988</td>\n",
       "      <td>62988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>3068</td>\n",
       "      <td>3406</td>\n",
       "      <td>2</td>\n",
       "      <td>3234</td>\n",
       "      <td>1165</td>\n",
       "      <td>118</td>\n",
       "      <td>1</td>\n",
       "      <td>731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>1/13/2011</td>\n",
       "      <td>2/16/2013</td>\n",
       "      <td>Male</td>\n",
       "      <td>guangzhou</td>\n",
       "      <td>guangdong</td>\n",
       "      <td>CN</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>3/31/2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>184</td>\n",
       "      <td>96</td>\n",
       "      <td>48134</td>\n",
       "      <td>9386</td>\n",
       "      <td>17509</td>\n",
       "      <td>57748</td>\n",
       "      <td>62988</td>\n",
       "      <td>959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         FFP_DATE FIRST_FLIGHT_DATE  ...  LOAD_TIME LAST_FLIGHT_DATE\n",
       "count       62988             62988  ...      62988            62988\n",
       "unique       3068              3406  ...          1              731\n",
       "top     1/13/2011         2/16/2013  ...  3/31/2014        3/31/2014\n",
       "freq          184                96  ...      62988              959\n",
       "\n",
       "[4 rows x 8 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cats= ['FFP_DATE','FIRST_FLIGHT_DATE','GENDER','WORK_CITY','WORK_PROVINCE','WORK_COUNTRY','LOAD_TIME','LAST_FLIGHT_DATE']\n",
    "df[cats].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "q__Z43XfBtV3"
   },
   "source": [
    "# Duplicate Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1794,
     "status": "ok",
     "timestamp": 1633796480779,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "SCVKMdfkBz6i",
    "outputId": "50ba04ae-38dd-4551-ebb3-5b04a314486a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2hfIPXyaAHe-"
   },
   "source": [
    "# Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 25,
     "status": "ok",
     "timestamp": 1633796480780,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "xuoKb28F95cM",
    "outputId": "9c073185-76a3-4015-d2cc-ad160392cbb7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEMBER_NO               0\n",
       "FFP_DATE                0\n",
       "FIRST_FLIGHT_DATE       0\n",
       "GENDER                  3\n",
       "FFP_TIER                0\n",
       "WORK_CITY            2269\n",
       "WORK_PROVINCE        3248\n",
       "WORK_COUNTRY           26\n",
       "AGE                   420\n",
       "LOAD_TIME               0\n",
       "FLIGHT_COUNT            0\n",
       "BP_SUM                  0\n",
       "SUM_YR_1              551\n",
       "SUM_YR_2              138\n",
       "SEG_KM_SUM              0\n",
       "LAST_FLIGHT_DATE        0\n",
       "LAST_TO_END             0\n",
       "AVG_INTERVAL            0\n",
       "MAX_INTERVAL            0\n",
       "EXCHANGE_COUNT          0\n",
       "avg_discount            0\n",
       "Points_Sum              0\n",
       "Point_NotFlight         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "93WBQkOX9_wv"
   },
   "outputs": [],
   "source": [
    "#Mengisi data yang kosong\n",
    "df['AGE'] = df['AGE'].fillna(df['AGE'].median())\n",
    "df['SUM_YR_1'] = df['SUM_YR_1'].fillna(df['SUM_YR_1'].median())\n",
    "df['SUM_YR_2'] = df['SUM_YR_2'].fillna(df['SUM_YR_2'].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "-k5wmk_u-DVH"
   },
   "outputs": [],
   "source": [
    "#menghapus kolom work_city, work_province, work_country, gender\n",
    "df = df.drop(['GENDER','WORK_CITY','WORK_PROVINCE','WORK_COUNTRY'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 15,
     "status": "ok",
     "timestamp": 1633796480783,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "8E1_khMF-Gsj",
    "outputId": "32d5a592-2fd7-4c6b-9fb4-c29696684200"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEMBER_NO            0\n",
       "FFP_DATE             0\n",
       "FIRST_FLIGHT_DATE    0\n",
       "FFP_TIER             0\n",
       "AGE                  0\n",
       "LOAD_TIME            0\n",
       "FLIGHT_COUNT         0\n",
       "BP_SUM               0\n",
       "SUM_YR_1             0\n",
       "SUM_YR_2             0\n",
       "SEG_KM_SUM           0\n",
       "LAST_FLIGHT_DATE     0\n",
       "LAST_TO_END          0\n",
       "AVG_INTERVAL         0\n",
       "MAX_INTERVAL         0\n",
       "EXCHANGE_COUNT       0\n",
       "avg_discount         0\n",
       "Points_Sum           0\n",
       "Point_NotFlight      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "intXIJgTvsNi"
   },
   "source": [
    "# Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 256
    },
    "executionInfo": {
     "elapsed": 2259,
     "status": "ok",
     "timestamp": 1633796483034,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "sPODI3qivxHV",
    "outputId": "0b00e730-46b3-4c07-b1e6-68868839f713"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,4))\n",
    "for i in range(0, len(nums)):\n",
    "    plt.subplot(2, 8, i+1)\n",
    "    sns.boxplot(y = df[nums[i]], orient='v')\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "awVe5zZDFDPd"
   },
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 220
    },
    "executionInfo": {
     "elapsed": 20,
     "status": "ok",
     "timestamp": 1633796483037,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "mO_mPUaWF8MS",
    "outputId": "9797ff1a-883a-4f57-e49e-bbcfbbbebe29"
   },
   "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>MEMBER_NO</th>\n",
       "      <th>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>AGE</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>BP_SUM</th>\n",
       "      <th>SUM_YR_1</th>\n",
       "      <th>SUM_YR_2</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_FLIGHT_DATE</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>AVG_INTERVAL</th>\n",
       "      <th>MAX_INTERVAL</th>\n",
       "      <th>EXCHANGE_COUNT</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Points_Sum</th>\n",
       "      <th>Point_NotFlight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>54993</td>\n",
       "      <td>11/2/2006</td>\n",
       "      <td>12/24/2008</td>\n",
       "      <td>6</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>210</td>\n",
       "      <td>505308</td>\n",
       "      <td>239560.0</td>\n",
       "      <td>234188.0</td>\n",
       "      <td>580717</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>3.483254</td>\n",
       "      <td>18</td>\n",
       "      <td>34</td>\n",
       "      <td>0.961639</td>\n",
       "      <td>619760</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28065</td>\n",
       "      <td>2/19/2007</td>\n",
       "      <td>8/3/2007</td>\n",
       "      <td>6</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>140</td>\n",
       "      <td>362480</td>\n",
       "      <td>171483.0</td>\n",
       "      <td>167434.0</td>\n",
       "      <td>293678</td>\n",
       "      <td>3/25/2014</td>\n",
       "      <td>7</td>\n",
       "      <td>5.194245</td>\n",
       "      <td>17</td>\n",
       "      <td>29</td>\n",
       "      <td>1.252314</td>\n",
       "      <td>415768</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55106</td>\n",
       "      <td>2/1/2007</td>\n",
       "      <td>8/30/2007</td>\n",
       "      <td>6</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>135</td>\n",
       "      <td>351159</td>\n",
       "      <td>163618.0</td>\n",
       "      <td>164982.0</td>\n",
       "      <td>283712</td>\n",
       "      <td>3/21/2014</td>\n",
       "      <td>11</td>\n",
       "      <td>5.298507</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>1.254676</td>\n",
       "      <td>406361</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21189</td>\n",
       "      <td>8/22/2008</td>\n",
       "      <td>8/23/2008</td>\n",
       "      <td>5</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>23</td>\n",
       "      <td>337314</td>\n",
       "      <td>116350.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>281336</td>\n",
       "      <td>12/26/2013</td>\n",
       "      <td>97</td>\n",
       "      <td>27.863636</td>\n",
       "      <td>73</td>\n",
       "      <td>11</td>\n",
       "      <td>1.090870</td>\n",
       "      <td>372204</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39546</td>\n",
       "      <td>4/10/2009</td>\n",
       "      <td>4/15/2009</td>\n",
       "      <td>6</td>\n",
       "      <td>48.0</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>152</td>\n",
       "      <td>273844</td>\n",
       "      <td>124560.0</td>\n",
       "      <td>130702.0</td>\n",
       "      <td>309928</td>\n",
       "      <td>3/27/2014</td>\n",
       "      <td>5</td>\n",
       "      <td>4.788079</td>\n",
       "      <td>47</td>\n",
       "      <td>27</td>\n",
       "      <td>0.970658</td>\n",
       "      <td>338813</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MEMBER_NO   FFP_DATE  ... Points_Sum  Point_NotFlight\n",
       "0      54993  11/2/2006  ...     619760               50\n",
       "1      28065  2/19/2007  ...     415768               33\n",
       "2      55106   2/1/2007  ...     406361               26\n",
       "3      21189  8/22/2008  ...     372204               12\n",
       "4      39546  4/10/2009  ...     338813               39\n",
       "\n",
       "[5 rows x 19 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 785
    },
    "executionInfo": {
     "elapsed": 2241,
     "status": "ok",
     "timestamp": 1633796485259,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "B4WVtXt1Fpa1",
    "outputId": "9afb8433-3a9d-4397-b398-53a6366a4ec3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f20d5f68890>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "sns.heatmap(df.corr(), cmap='Blues', annot=True, fmt='.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 167
    },
    "executionInfo": {
     "elapsed": 1332,
     "status": "ok",
     "timestamp": 1633796486585,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "hnDe_204X7Ig",
    "outputId": "d1185e54-ef77-43f1-913c-605cde5906f5"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3600x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(50,10))\n",
    "ax = sns.countplot(x=\"FLIGHT_COUNT\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 150
    },
    "executionInfo": {
     "elapsed": 2708,
     "status": "ok",
     "timestamp": 1633796489271,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "AQDihFD5VTea",
    "outputId": "adc03ca0-0bcf-44ac-c50e-1b554eb28a7b"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2160x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30,5))\n",
    "ax = sns.countplot(x=\"AGE\", data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-1OlnuB2V2T7"
   },
   "source": [
    "Distribusi pelanggan berada di usia produktif yaitu 27 - 55 tahun\n",
    "Mengartikan bahwa banyak perjalanan bisnis yang dilakukan pelanggan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 1191,
     "status": "ok",
     "timestamp": 1633796490430,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "dek21JLHIydG",
    "outputId": "c09921b4-f0d8-4535-f885-3abf5e3922ff"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KlDED0NTazup9NVw2fQzudJIRMyIpnjlFmay2AmWGOCtQxgzAO2W1tPoDXDTVm9O/nDtpNFuO1FHf3ObJ9o2JBCtQxgzA67urSIqPC/m5n4J1zsTR+ANq/VBmSLMCZcwArNpTxdkTR5Oc4PNk+2eOH0WiL86a+cyQZgXKmH4qP9FEWVUjF07x7tyayQk+zhyfyeoyK1Bm6LICZUw/rdpdDeBZ/1OHhRNHs+3oKU5ZP5QZoqxAGdNPb+ypIj8jOeLDy7uaX5yFKmw4dNLTHMaEixUoY/qh3R/gzb3VXDglJ+LDy7uaU5RJnMB6GyhhhigrUMb0w6byk9Q3t3PBVO/6nzqkJcUzPX8k6w6e8DqKMWFhBcqYfnh9dzVxAudP9r5AAZSOH8XGwydp9we8jmJMyFmBMqYfVu2uoqQwk8zURK+jAHBWcRZNrX52Hq/3OooxIWcFypggnWxqZXP5SS70ePReZ2eNHwXAOuuHMkOQFShjgvTW3hoCChdFQf9Th4LMFPIzkq0fygxJVqCMCdKashpGJPooKcz0OsqHzC3KZHN5ndcxjAk5K1DGBGl1WQ2lxVkk+KLr36akMJNDtU2caGz1OooxIRVd/2nGRKmq+hb2VjawcOJor6N8xJzCDAC2HLG9KDO0WIEyJgjv7HfmvFs40ZvZy3szs8ApUJvLbUYJM7RYgTImCKv3Of1Ps91iEE0yUhKYmD2CTdYPZYYYK1DGBGFNWQ3zJ2QRH2X9Tx1KCjNsD8oMOWH7bxORIhFZISLbRWSbiPxjN8uIiPxERPaKyGYROTNceYwZqMr6ZvZVNUZl/1OHksJMKk61UHGq2esoxoRMOL8OtgPfVNUZwELgyyIyo8syi4Ep7uUO4OdhzGPMgKwpcw6CPSeqC1RHP5Q185mhI2wFSlWPqep77vV6YAdQ0GWxa4BH1bEGyBSR/HBlMmYg1pTVkJYUz8yxI72O0qOZYzPwxYk185khJSIN6iJSDMwD3unyUAFwuNPtcj5axIzx1JqyGuYXj4ra/ieAlEQfU3LTbKCEGVLC/h8nImnAs8DXVPXUANdxh4isE5F1VVVVoQ1oTC8qTzVTVtXIOZOit3mvw5zCTLaUn0RVvY5iTEiEtUCJSAJOcfq9qj7XzSJHgKJOtwvd+z5EVR9S1VJVLc3JiZ6JOs3Qt7qs4/in6C9QswszONHURvmJ015HMSYkwjmKT4BfAztU9YEeFlsG3OqO5lsI1KnqsXBlMqa/1pTVkp4Uz4z86O1/6jDHnSNwk/VDmSEiPozrPg/4DLBFRDa6930HGAegqr8AlgNLgL1AE3B7GPMY02/vRPnxT52dkZdOoi+OLeV1XFky1us4xgxa2AqUqr4JSB/LKPDlcGUwZjAqTjVTVt3ITQvGeR0lKInxcUzPT7c9KDNkRP/XQmM8siaG+p86lBRmsvXIKQIBGyhhYp8VKGN6sKashvTkeGZE8fFPXZUUZtDQ0k5ZdYPXUYwZNCtQxvRgTVktZ0/IwhfXa0t1VJlT5AyUsBklzFBgBcqYbhyva2Z/dXTPv9edSTlppCb6rECZIcEKlDHdiMX+JwBfnDBrbIYNlDBDghUoY7qxep/T/zQ9Bo5/6qqkMIPtR0/R5g94HcWYQbECZUw3VpfVcPaE0THV/9ShpCiTlvYAuyvqvY5izKBYgTKmiyMnT3Ootikm5t/rTkmBnXrDDA1WoIzpYvU+p/8pms//1Jvxo1PJSEmwU2+YmGcFypguVu+rYVRqAtPy0r2OMiAi4p4C3vagTGyzAmVMJ6rKGrf/KS4G+586zC7IYNfxeprb/F5HMWbArEAZ08nh2tMcOXk6ZvufOpQUZtIeULYfG9Ap2IyJClagjOlkdVk1QMwXqDlFzkCJLdbMZ2KYFShjOlm9r4bstESm5KZ5HWVQ8kYmk5OeZAfsmphmBcoYl6o6xz9NHI1zvs3YJSKUFNhACRPbrEAZ49pf3UjFqZaYHV7eVUlhJvuqGmhoafc6ijEDYgXKGNdqd/69WO9/6lBSlIEqbD1ie1EmNlmBMsa1el8NuelJTMwe4XWUkPhgRgnrhzKxKagCJSLPicgnRMQKmhmSAgFl9b4azp0U+/1PHUanJVGQmcIm64cyMSrYgvMz4GZgj4jcLyJnhDGTMRG39WgdNY2tXHRGjtdRQmpOUYYNNTcxK6gCpaqvqOqngTOBA8ArIvK2iNwuIgnhDGhMJKzcVYUIXDhlaBWoksJMDtU2caKx1esoxvRb0E12IjIauA34ArAB+DFOwXo5LMmMiaAVuyopKchgdFqS11FCqqTQ7YeygRImBgXbB/Un4A0gFbhKVa9W1T+o6t1AbB/RaIa9E42tbDx8kkVn5HodJeRmdQyUOGwDJUzsiQ9yuV+p6vLOd4hIkqq2qGppGHIZEzGr9lShCouGWP8TwMjkBCbmjLA9KBOTgm3i+143960OZRBjvPL6ripGpSZQUpjpdZSwmFOYaUPNTUzqdQ9KRPKAAiBFROYBHeNvR+I09xkT0wIB5fXdVVw4NScmT+8ejJLCDP604QgVp5oZMzLZ6zjGBK2vJr7LcQZGFAIPdLq/HvhOmDIZEzFbjjjDy4di816Hjj3DjYdPcvnMPI/TGBO8XguUqv4O+J2IfFJVn41QJmMiZqgOL+9sVsFIEn1xbDhkBcrElr6a+G5R1ceBYhH5RtfHVfWBbp5mTMxYubuSksLMITe8vLOkeB8zxo7kvUMnvI5iTL/0NUiiY1KyNCC9m0uPROQREakUka09PL5IROpEZKN7uaef2Y0ZlNqO4eVTh+7eU4d545yBEu3+gNdRjAlaX018v3R//scA1v1b4EHg0V6WeUNVrxzAuo0ZtDeG8PDyruaNG8Vv3jrAzuP17x8bZUy0C/ZA3R+JyEgRSRCRV0WkSkRu6e05qroKqA1JSmPCYOWuKrJGJA7Z4eWdzStyfscNdsCuiSHBHgf1cVU9BVyJMxffZOCfQ7D9c0Rkk4i8ICIze1pIRO4QkXUisq6qqioEmzXDXSCgrNpdxYVTsofs8PLOCkelkJOexAbrhzIxJNgC1dEU+AngGVUNxWHp7wHjVXUO8L/A0p4WVNWHVLVUVUtzcoZ+c4wJvw+Glw+96Y26IyLMK8pkwyHbgzKxI9gC9VcR2QmcBbwqIjlA82A2rKqnVLXBvb4cSBCR7MGs05hgrdhV6QwvHwYDJDrMGzeK/dWNNrO5iRnBnm7jW8C5QKmqtgGNwDWD2bCI5Il7ZjgRWeBmqRnMOo0J1spdVZQUZpI1ItHrKBEzb9wHB+waEwuCnSwWYBrO8VCdn9PjCD0ReRJYBGSLSDlwL5AAoKq/AK4D7hKRduA0cKOqav/iG9N/tY2tbCo/yT9eOsXrKBFVUpiBL07YcOgEF08bHk2bJrYFVaBE5DFgErAR8Lt3K70UKFW9qbd1quqDOMPQjYmoD4aXD68P6dTEeKblpfOe9UOZGBHsHlQpMMP2cMxQ8P7w8mF4PNC8cZks3XAUf0CHxehFE9uCHSSxFbBJvEzMe3/28inZxA3DD+h5RaNoaGlnX1WD11GM6VOwe1DZwHYRWQu0dNypqleHJZUxYbL5SB21ja3Dtg+mY6DEhkMnmDqm19nKjPFcsAXqvnCGMCZSVrrDyy8YwrOX92ZC9ggyUxNYf/AEN8wf53UcY3oVVIFS1ddFZDwwRVVfEZFUwBfeaMaE3spdVcwZZsPLOxMRSsdnsXa/zUJmol+wc/F9Efgj8Ev3rgJ6mfnBmGhU09DCpvKTw2Jy2N4snJjFgZomKk4N6lh7Y8Iu2EESXwbOA04BqOoeYHg24puY9cae6mE5vLyrBROyAHjH9qJMlAu2QLWo6vvzo7gH69qQcxNTVu6qZPQwHV7e2Yz8kaQlxfNOmU3cYqJbsAXqdRH5DpAiIh8DngH+Er5YxoRWIKCs2lPNhVNzhuXw8s7ifXGUFo+yPSgT9YItUN8CqoAtwD8Ay4HvhiuUMaHWMbx8uPc/dTh7wmj2VjZQ3dDS98LGeCTYUXwBEVkKLFVVOyGTiTmv7Rzew8u7er8fqqyWT5Tke5zGmO71ugcljvtEpBrYBexyz6Z7T2TiGRMaK3ZWcua4UcN2eHlXcwozSE+OZ9Vu+75poldfTXxfxxm9N19Vs1Q1CzgbOE9Evh72dMaEQOWpZrYcqeOSYTp7RHfifXFcMCWb13dXYVNsmmjVV4H6DHCTqu7vuENVy4BbgFvDGcyYUFm5y9lLuHiYDy/vatHUXI6famZXRb3XUYzpVl8FKkFVq7ve6fZDJYQnkjGh9erOCvIzkpmeb3PPddZxNuHXd1kzn4lOfRWo3s4NbeeNNlGvpd3Pm3uquXhaLu4JnI0rLyOZaXnp7+9hGhNt+hrFN0dETnVzvwDJYchjTEi9u/8Eja1+LrHmvW5ddEYOj7y5n7rTbWSkWKOIiS697kGpqk9VR3ZzSVdVezebqPfazkoS4+M4d/Jor6NEpctn5tHmV17ZXuF1FGM+ItgDdY2JSa/trODcSaNJTQz2zDLDy7yiTAoyU/jr5qNeRzHmI6xAmSGrrKqBAzVNNry8FyLCJ0ryeWNPNSebrFvZRBcrUGbIem1nJWDDy/tyZUk+7QHlpW3HvY5izIdYgTJD1ms7K5k6Jo2irFSvo0S12QUZjB+dyp83WjOfiS5WoMyQdKKxlXf213LZ9DFeR4l6IsJ1Zxby9r4a9lc3eh3HmPdZgTJD0svbK/AHlMWzbCLUYNwwv4j4OOGJdw56HcWY91mBMkPSi9uOUzgqhVkFI72OEhNyRybz8ZljeGZ9Oc1tfq/jGANYgTJDUH1zG2/uqeaKmXk2e0Q/3HL2eE42tfH85mNeRzEGsAJlhqDXdlbS6g+weHae11FiyjmTRjMxewS/t2Y+EyWsQJkh5y+bjjJmZBLzikZ5HSWmiAg3nz2O9w6dZPvR7mY4MyaywlagROQREakUka09PC4i8hMR2Ssim0XkzHBlMcPHicZWVu6q4uo5Y4mLs+a9/rrurEKS4uN43PaiTBQI5x7Ub4Erenl8MTDFvdwB/DyMWcww8cLW47QHlGvmFngdJSZlpiZy1ZyxLN1whPrmNq/jmGEubAVKVVcBtb0scg3wqDrWAJkiYmOCzaAs3XiESTkjmDnWRu8N1KfPHkdTq59lm+zAXeMtL/ugCoDDnW6Xu/d9hIjcISLrRGRdVZWdu8Z078jJ06zdX8s1cwts9N4gzC3KZHr+SJ5455CdDt54KiYGSajqQ6paqqqlOTk5XscxUeq59eUAXDvPmvcGQ0S4eUER246eYsuROq/jmGHMywJ1BCjqdLvQvc+YfgsElGfWl3PupNE2914IXDOvgJQEH0+uPeR1FDOMeVmglgG3uqP5FgJ1qmpHCJoBeWd/LYdqm/hUaVHfC5s+jUxO4MqSfJZtPMrpVptZwngjnMPMnwRWA2eISLmIfF5E7hSRO91FlgNlwF7gV8CXwpXFDH1PrztMenI8V8yyg3ND5dozC2hs9fPKDjvbrvFG2E4zqqo39fG4Al8O1/bN8HGquY3lW45xfWkhyQk+r+MMGQsnjCZvZDJ/3niEq+aM9TqOGYZiYpCEMb35y6ajtLQHrHkvxOLihKvnjmXlripqG+1suybyrECZmPf0u4eZlpfO7IIMr6MMOX83t4D2gPL8FuseNpFnBcrEtJ3HT7GpvI7rS4vs2KcwmJ6fzuTcNJ7fbAftmsizAmVi2jPryknwiR37FCYiwpLZ+azdX0tVfYvXccwwYwXKxKzW9gB/2nCEj80YQ9aIRK/jDFlLZucRUPjb9uNeRzHDjBUoE7Ne3VFBbWMr19vgiLA6Y0w6E7NH8MIWK1AmsqxAmZj19LrD5I1M5sIpNv1VOIkIi2fnsbqsxkbzmYiyAmVi0vG6Zl7fXcV1ZxXis/M+hd3iWfn4A8rL1sxnIsgKlIlJz75XTkCdE+yZ8Js5diTjslJZbs18JoKsQJmYo6o8ve4wZ0/Iojh7hNdxhoWO0Xxv7a2mrslOZGgiwwqUiTlr99dysMYmho20JbPzaA8oL9vcfCZCrECZmPOHdYdJS4pnyWw7AXMkzS7IoCAzheU2q4SJECtQJqbUnXYmhr1qTj4piTYxbCQ5zaP27PsAABTnSURBVHx5vLGnilPN1sxnws8KlIkpz71XTnNbgJsXjPc6yrC0eHY+bX7lVWvmMxFgBcrEDFXlsTUHmVuUyexCmxjWC3MLM8nPSLbRfCYirECZmLF6Xw1lVY18ZqHtPXklLk64YlYer++uoqGl3es4ZoizAmVixmNrDpKZmsAnSmxwhJeWzM6ntT3AazsrvY5ihjgrUCYmHK9r5m/bK7ihtMjOmuuxs8aNIjc9iRdsNJ8JMytQJiY8ufYQAVVuPnuc11GGvY5mvhW7KmlqtWY+Ez5WoEzUa/MHeHLtIS6amsP40TZzRDRYMjuf5rYAK3dVeR3FDGFWoEzU+9u2CirrW2xwRBSZX5xFdlqiHbRrwsoKlIlqqspDq/YxfnQqi87I9TqOcfnihMtn5vHazkqa2/xexzFDlBUoE9VW76thU3kd/3DhJDutRpRZMjufpla/jeYzYWMFykS1n7++j+y0JP7+zAKvo5guzp6QRUFmCr99+4DXUcwQZQXKRK33Dp3gjT3VfO78YhtaHoXifXHcfl4xa/fXsrn8pNdxzBBkBcpEJVXlhy/sJDstkc+eU+x1HNODG+YXkZYUz8Nv7Pc6ihmCrECZqLRydxXv7K/l7kumMCIp3us4pgfpyQncOL+I57ccY29lg9dxzBBjBcpEndb2APcv38m4rFRuWmAH5ka7OxdNIi0pnn/70xZU1es4ZggJa4ESkStEZJeI7BWRb3Xz+G0iUiUiG93LF8KZx8SGB1/bw66Keu65cgaJ8fYdKtplpyXxrcXTeGd/Lc+sL/c6jhlCwvbfLyI+4KfAYmAGcJOIzOhm0T+o6lz38nC48pjYsOnwSX66ch+fPLOQy2aM8TqOCdINpUXMLx7Fvy/dygobdm5CJJxfTxcAe1W1TFVbgaeAa8K4PRPjdlfU87nfvsuY9CTuuaq77zImWsXFCb/8TClTxqTxxUfX8fOV+zjdagfwmsEJZ4EqAA53ul3u3tfVJ0Vks4j8UUSKwpjHRClV5aVtx7n5V2vwxQmPfeFsMlISvI5l+ilrRCJPfHEhF03N4Ycv7uSCH63gN2/tt5kmzIB53cD/F6BYVUuAl4HfdbeQiNwhIutEZF1VlU1OOVScaGzl0dUHuPZnb/MPj60nIyWBJ764kEk5aV5HMwM0MjmBX982n2fuPIcpuWn8x1+284mfvEFtY6vX0UwMknCNuhGRc4D7VPVy9/a3AVT1Bz0s7wNqVbXXc3mXlpbqunXrQh3XRFBzm59fvL6Ph9/YT0NLO5Nz07jt3GJunF9EvM/r70wmlFbsrOQfHl9PSUEGj3/hbDvg2nRLRNaramnX+8N5gMm7wBQRmQAcAW4Ebu4SKl9VO6ZDvhrYEcY8Jgq0tPu547H1rNpdxRUz87j70snMHNvrdxITwy6elssDn5rDV57YwA9f3Mm9V830OpKJIWErUKraLiJfAV4CfMAjqrpNRP4TWKeqy4CvisjVQDtQC9wWrjzGe4GA8tUnN7BqdxU/+mQJn5pvXY7DwZUlY3ljdzW/f+cQdy2aRG56steRTIwIa3uKqi5X1amqOklVv+/ed49bnFDVb6vqTFWdo6oXq+rOcOYx3nrq3cO8tK2C735iuhWnYebORZNo9wd45M0DXkcxMcQa/E1EVDe08MMXd3L2hCw+f/4Er+OYCJuQPYIls/N5fM1B6k63eR3HxAgrUCYifvTiTppa2/n+tbMQsfM6DUd3XjSJhpZ2lm444nUUEyOsQJmw21fVwB/Xl3PbucVMzk33Oo7xyKyCDKblpbNs01Gvo5gYYQXKhN1PXt1DcoKPOy+a5HUU47Gr5oxl/cETlJ9o8jqKiQFWoExY7amoZ9mmo3z23GJGpyV5Hcd47Oo5YwH4y6ZjfSxpjBUoE2Y/fnUPqQk+7rhgotdRTBQoykplblGmNfOZoFiBMmGz63g9z285xm3nFTNqRKLXcUyUuHrOWHYcO8Xeynqvo5goZwXKhM2PX93NiMR4vmh7T6aTK0vyiRNYttH2okzvrECZsNh6pI7lW47zufOKyUy1vSfzgdyRySycOJplm47aGXhNr6xAmZBTVe5dto3stES+cKHtPZmPunrOWA7UNLHlSJ3XUUwUswJlQm7pxiOsP3iCf7l8GiOT7bxO5qMWz8onwSfWzGd6ZQXKhFRVfQvff34ncwozuO6sQq/jmCiVkZrAojNyWbrxCK3tAa/jmChlBcqETCCgfOPpjdQ3t/HD60qIi7MpjUzPbl4wjuqGVl7eXuF1FBOlrECZkHlwxV7e2FPNPVfNYFreSK/jmCh34dQcCjJTeGLtQa+jmChlBcqExFNrD/HAy7u5dl4BNy8Y53UcEwN8ccJNC4p4a28NB6obvY5jopAVKDNof954hO/8aQsXTc3hh58ssdnKTdA+VVpEgk/42cq9XkcxUcgKlBmUp989zNf+sJH5xVn8/JYzSYy3t5QJXu7IZD57TjHPrC9n+9FTXscxUcY+TcyA/e7tA/zLs5u5YEoOv719AamJ8V5HMjHo7kumkJGSwPeXb7cDd82HWIEy/aaq/HzlPu5dto2PzRjDr249i5REn9exTIzKSE3ga5dO4a29NfzmrQNexzFRxL7ymn4JBJTvPb+DR97az1VzxvLAp+aQ4LPvOWZwbj2nmNVlNXzv+e2MH53KpdPHeB3JRAH7ZDFBa2n389WnNvDIW/u5/bxifnzDXCtOJiTi4oT/d8NcZowdyZ2Pr+eptYe8jmSigH26mKDUNrZy+2/e5a+bj/HtxdO458oZdiCuCanUxHh+//mFnDMpm289t4W7n9xAxalmr2MZD1kTn+nTW3ur+cbTGznR2MYDn5rD359pUxiZ8MhITeA3t83nwdf28tOVe3ltRwW3nlvM586bQE66nZG5gz+gvL2vmpW7qnjv0AnKT5ymtrEVnwhpyfEUZaUyPS+dhRNHc/EZuWSkxuacmBJro2ZKS0t13bp1XscYFnZX1PPA33bz4rbjTMwewf/ePI+ZYzO8jmWGiQPVjfz3S7tYvvUY8XHCojNyWTwrj3MmjSY/I8XreBGnquw4Vs+fNpTz541HqaxvISk+jpLCDCblpDFqRCKqUHe6jUO1jWwpr+NUczuJ8XF8fMYYri8t4vzJ2fiisOVDRNaraulH7rcCZTq0+QPsrWzgrb3VvLTtOO8eOEFKgo+7Fk3iixdMtJF6xhP7qhp4au2h9z+UAUalJjA5N43JuWkUjx7B2MwUxmYmMzYzhdz05Kj8EB6IlnY/246e4s091Ty/+Ri7KupJ8DnF+tp5BVwyLZfkhO7/L/0BZXP5SZZuOMKfNx3lZFMbY0Ym8XfzCrjuzEKmjEmP8G/TMytQ5kNUld0VDWw4dIItR+rYeqSOHcfr359ZekpuGp88q5DrzypkdJo1rRjvBQLKzuP1vLO/ht0V9eytbGBvZQMnmto+tJwvTsgbmUx+RjKZqQkkJfhISfCRGB+HACIgiPuT92c+6Xx/nECcCCLy/nW/Kv6A0u5X/IEA7QElwRdHaqKP1EQfKYnxH1xP8JGaGE+CT2huD9DS5qe5PUBzm58W93ZLe4B2v9IeCNDqd66fbvNzorGVmsZWqhtaOFjThD+giMC8okyuPbOQK2fnM2pE/04C2tLu59UdlTy7vpyVu6vwB5TZBRlcWZLPktn5FGWlhuhVGhgrUAZw9pKeevcwv19zkJ3H6wFIT45n1tgMZhWMZObYDOZPyKIgc/g1oZjYdKq5jWMnmzlad5qjJ08710+e5mjdaeqb2znd5qe51U+rP4AqKM4XNOfnB9fp8lhAlYD7eEDBJ4IvToiPE3w+wSdCa3uApjY//sDAP0dFICEujnifkJLgY9SIRLJGJDJ6RCKTctKYMXYkCyeOJqufRaknVfUtLNt0lKUbjrx/wsjZBc7pca4vLfTkgHsrUMOcqvLKjkp+8MIOyqoanfM1lRZxweRsxmWl2og8YwZIVWn1Bzjd6qfJvTjX22nzK8kJcSQn+EhOiCMp3keSezvRF0eCL87T5sjDtU0s33KMv24+xpYjdWSmJnDHhRO5/dwJEW3StwI1jG09Usf3n9/B6rIaJuaM4DuLp3Pp9Fyb1NUY8771B2v56Yp9vLazktz0JP7xsinuZL7hPxrJkwIlIlcAPwZ8wMOqen+Xx5OAR4GzgBrgBlU90Ns6rUAFb+Phk/zmrf0s23SUUamJfO2yKdy0YJwdXGuM6dG7B2q5/4WdrD94ggnZI/jmx6eyZFZ+WFtZIl6gRMQH7AY+BpQD7wI3qer2Tst8CShR1TtF5EbgWlW9obf1hrpAdbQv+wNOB2hHR+iHLqr4/U5HZVyc02nqcztQfe7tuDinTTpOhLg4p1PVJ9Lri9qx7YC7TVXwqzpt34EPcql+kEvd+wLucm1+dZsV2mlobufIydPsrWxgdVkNB2uaGJHo45aF4/nSxZPJSInNYyGMMZGlqry6o5IfvbST3RUNjBmZxBUz8zhz/Cgm5aSRkZJAZmoCaUnxIWmJ8aJAnQPcp6qXu7e/DaCqP+i0zEvuMqtFJB44DuRoL6EGW6D+66/beeKdQx8qRuEWJ87Ioo4XMvB+gQnP9jJSEphfnMWiM3K4Zu5Y0pOtMBlj+s8fUF7YeoxlG4/y+u4qWtxRvh18ccLDny3l4jNyB7WdngpUOIdrFACHO90uB87uaRlVbReROmA0UN15IRG5A7jDvdkgIrvCkrh32XTJFaWygerNwK+9TtK7WPh7xkJGsJyhZjn74ZIf9LlIMDnHd3dnTEx1pKoPAQ95mUFE1nVX4aON5QydWMgIljPULGdoDSZnOHvLjwBFnW4Xuvd1u4zbxJeBM1jCGGPMMBfOAvUuMEVEJohIInAjsKzLMsuAz7rXrwNe663/yRhjzPARtiY+t0/pK8BLOMPMH1HVbSLyn8A6VV2G003ymIjsBWpxili08rSJsR8sZ+jEQkawnKFmOUNrwDlj7kBdY4wxw4MdsWmMMSYqWYEyxhgTlaxAdSEiV4jILhHZKyLf6ubxJBH5g/v4OyJSHIUZvyEi20Vks4i8KiLdHmPgdc5Oy31SRFREPBkyG0xOEfmU+zfdJiJPRDqjm6Gv132ciKwQkQ3ua7/Eg4yPiEiliGzt4XERkZ+4v8NmETkz0hndHH3l/LSbb4uIvC0icyKd0c3Ra85Oy80XkXYRuS5S2bpsv8+cIrJIRDa6/0OvB7ViVbWLe8EZzLEPmAgkApuAGV2W+RLwC/f6jcAfojDjxUCqe/2uSGcMNqe7XDqwClgDlEZjTmAKsAEY5d7OjdKcDwF3uddnAAc8yHkhcCawtYfHlwAv4JyKaSHwTqQzBpnz3E6v9+JozdnpvfEasBy4LhpzApnAdmCcezuo/yHbg/qwBcBeVS1T1VbgKeCaLstcA/zOvf5H4FKJ7LTgfWZU1RWq2uTeXINzDFqkBfO3BPgv4IdAcyTDdRJMzi8CP1XVEwCqWhnhjBBcTgVGutczgKMRzOcEUF2FMyK3J9cAj6pjDZApIvmRSfeBvnKq6tsdrzfe/Q8F8/cEuBt4FvDifQkElfNm4DlVPeQuH1RWK1Af1t30TAU9LaOq7UDH9EyREkzGzj6P84010vrM6TbvFKnq85EM1kUwf8+pwFQReUtE1riz9EdaMDnvA24RkXKcb9N3RyZav/T3/RsNvPof6pOIFADXAj/3OksfpgKjRGSliKwXkVuDeVJMTHVkBkZEbgFKgYu8ztKViMQBDwC3eRwlGPE4zXyLcL5JrxKR2ap60tNUH3UT8FtV/b/uZM2PicgsVQ309UTTPRG5GKdAne91lh78D/CvqhqI8vO7xeOcVulSIAVYLSJrVHV3X08yH+jP9EzlHk3PFExGROQy4N+Ai1S1JULZOusrZzowC1jp/mPlActE5GpVjeQJv4L5e5bj9EG0AftFZDdOwXo3MhGB4HJ+HrgCQJ0zBCTjTNTpWdNPN4J6/0YDESkBHgYWq2q0TsFWCjzl/g9lA0tEpF1Vl3ob6yPKgRpVbQQaRWQVMAfnlEw9sia+D4uF6Zn6zCgi84BfAld71F8CfeRU1TpVzVbVYlUtxmnnj3Rx6jOnaynO3hMiko3TXFEWyZAEl/MQzjdURGQ6kAxURTRl35YBt7qj+RYCdap6zOtQXYnIOOA54DN9fcv3kqpO6PQ/9EfgS1FYnAD+DJwvIvEikopzZosdfT3J9qA60RiYninIjP8NpAHPuN+sDqnq1VGY03NB5nwJ+LiIbAf8wD9H+ht1kDm/CfxKRL6OM2Ditgh/eUJEnsQp5tluX9i9QIL7O/wCp29sCbAXaAJuj2S+fuS8B6dv+Wfu/1C7ejBzeBA5o0JfOVV1h4i8CGwGAjhnWO916DzYVEfGGGOilDXxGWOMiUpWoIwxxkQlK1DGGGOikhUoY4wxUckKlDHGmKhkBcqYEBARf6eZmjeJyDfd2TIQkVIR+YnH+b7j5faNGQgbZm5MCIhIg6qmuddzgSeAt1T1Xm+TOTrnMyZW2B6UMSHmzt5xB/AVd8aERSLyVwARucjd09ooznmb0t37/9U999AmEbnfvW+uOzntZhH5k4iMcu9fKe65s0QkW0QOuNdvE5HnRORFEdkjIj9y778fSHG3+ftI/z2MGSgrUMaEgaqW4cz4kNvloX8Cvqyqc4ELgNMishjnNBRnq+oc4Efuso/iTARaAmzBOTq/L3OBG4DZwA0iUqSq3wJOq+pcVf30YH83YyLFCpQxkfUW8ICIfBXIdE/Zchnwm45zeKlqrYhkuI93nHn0dzgnhevLq+48h804J4jz5GzKxoSCFShjwkBEJuLM2/ehyXpV9X7gCzinHHhLRKYNYPXtfPC/m9zlsc4z1/ux+TZNDLMCZUyIiUgO8Avgwa6TtYrIJFXdoqo/xJmhfBrwMnC7O8szIpKlqnXACRG5wH3qZ4COvakDOOfWAWdG/WC0iUjCQH8nY7xg366MCY0UEdmIM4NzO/AYzgkZu/qaexK8ALANeEFVW0RkLrBORFpxZvz+Ds5pXX7hFq4yPpj5+/8AT4vIHUCwZyN+CNgsIu9ZP5SJFTbM3BhjTFSyJj5jjDFRyQqUMcaYqGQFyhhjTFSyAmWMMSYqWYEyxhgTlaxAGWOMiUpWoIwxxkSl/x/dd5llZJNIqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.kdeplot(x = 'avg_discount', data=df)\n",
    "ax.set_title(\"Distribution of Average Discount\")\n",
    "ax.set_ylabel(\"Density\")\n",
    "ax.set_xlabel(\"Discount\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rk6Nb6A2M_kJ"
   },
   "source": [
    "banyak average discount yang > 1 (100%) dianggap tidak valid, akan di drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "jAP5K-tbMhiV"
   },
   "outputs": [],
   "source": [
    "df = df[df['avg_discount']<=1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 129,
     "status": "ok",
     "timestamp": 1633796490433,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "KEtbbkD7MpbZ",
    "outputId": "20240966-22e6-45ca-8205-c840cd59af96"
   },
   "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": [
    "ax = sns.kdeplot(x = 'avg_discount', data=df)\n",
    "ax.set_title(\"Distribution of Average Discount\")\n",
    "ax.set_ylabel(\"Density\")\n",
    "ax.set_xlabel(\"Discount\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 134,
     "status": "ok",
     "timestamp": 1633796490447,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "eikRJiHhItc7",
    "outputId": "97703dc7-42c9-44b2-85c0-caa435fbbeae"
   },
   "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": [
    "ax = sns.scatterplot(x = 'BP_SUM', y = 'SEG_KM_SUM',  data=df)\n",
    "ax.set_title(\"Distribution of SEG_KM_SUM and BP_SUM\")\n",
    "ax.set_ylabel(\"SEG_KM_SUM\")\n",
    "ax.set_xlabel(\"BP_SUM\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 310
    },
    "executionInfo": {
     "elapsed": 119,
     "status": "ok",
     "timestamp": 1633796490448,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "xBT4IomsRs1l",
    "outputId": "b831c117-7ebe-4fa9-a4cf-bb3db4ba35db"
   },
   "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>MEMBER_NO</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>AGE</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>BP_SUM</th>\n",
       "      <th>SUM_YR_1</th>\n",
       "      <th>SUM_YR_2</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>AVG_INTERVAL</th>\n",
       "      <th>MAX_INTERVAL</th>\n",
       "      <th>EXCHANGE_COUNT</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Points_Sum</th>\n",
       "      <th>Point_NotFlight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.00000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "      <td>60041.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>31505.292833</td>\n",
       "      <td>4.081727</td>\n",
       "      <td>42.167186</td>\n",
       "      <td>11.65422</td>\n",
       "      <td>10034.104778</td>\n",
       "      <td>4954.808203</td>\n",
       "      <td>5205.391599</td>\n",
       "      <td>16772.027931</td>\n",
       "      <td>177.260855</td>\n",
       "      <td>67.875748</td>\n",
       "      <td>166.267517</td>\n",
       "      <td>0.299629</td>\n",
       "      <td>0.695875</td>\n",
       "      <td>11561.295448</td>\n",
       "      <td>2.729718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18191.245419</td>\n",
       "      <td>0.328371</td>\n",
       "      <td>9.740345</td>\n",
       "      <td>13.75629</td>\n",
       "      <td>14010.728738</td>\n",
       "      <td>7030.195226</td>\n",
       "      <td>7659.615275</td>\n",
       "      <td>20335.635374</td>\n",
       "      <td>184.117824</td>\n",
       "      <td>77.374097</td>\n",
       "      <td>123.569936</td>\n",
       "      <td>1.062595</td>\n",
       "      <td>0.144030</td>\n",
       "      <td>17908.780708</td>\n",
       "      <td>7.402475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>368.000000</td>\n",
       "      <td>1.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>15736.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>2432.000000</td>\n",
       "      <td>983.000000</td>\n",
       "      <td>757.000000</td>\n",
       "      <td>4713.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.605626</td>\n",
       "      <td>2684.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>31528.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>7.00000</td>\n",
       "      <td>5457.000000</td>\n",
       "      <td>2744.000000</td>\n",
       "      <td>2688.000000</td>\n",
       "      <td>9878.000000</td>\n",
       "      <td>109.000000</td>\n",
       "      <td>44.875000</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.703390</td>\n",
       "      <td>6070.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>47269.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>14.00000</td>\n",
       "      <td>12133.000000</td>\n",
       "      <td>6236.000000</td>\n",
       "      <td>6520.000000</td>\n",
       "      <td>20893.000000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>82.400000</td>\n",
       "      <td>228.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.794527</td>\n",
       "      <td>13570.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>62988.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>210.00000</td>\n",
       "      <td>505308.000000</td>\n",
       "      <td>239560.000000</td>\n",
       "      <td>234188.000000</td>\n",
       "      <td>580717.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>985572.000000</td>\n",
       "      <td>140.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          MEMBER_NO      FFP_TIER  ...     Points_Sum  Point_NotFlight\n",
       "count  60041.000000  60041.000000  ...   60041.000000     60041.000000\n",
       "mean   31505.292833      4.081727  ...   11561.295448         2.729718\n",
       "std    18191.245419      0.328371  ...   17908.780708         7.402475\n",
       "min        1.000000      4.000000  ...       0.000000         0.000000\n",
       "25%    15736.000000      4.000000  ...    2684.000000         0.000000\n",
       "50%    31528.000000      4.000000  ...    6070.000000         0.000000\n",
       "75%    47269.000000      4.000000  ...   13570.000000         1.000000\n",
       "max    62988.000000      6.000000  ...  985572.000000       140.000000\n",
       "\n",
       "[8 rows x 15 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[nums].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "m_pt2oWRWrJl"
   },
   "source": [
    "## Feature Selection 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "R0cAlJARWtpX"
   },
   "source": [
    "Berdasarkan heatmap pertama:\n",
    "\n",
    "*   Fitur yang nilai korelasinya rendah dan dianggap tidak berhubungan dalam penyelesaian masalah akan didrop dari dataset: `member_no`, `age`, `exchange_count`, `sum_yr_1`, `sum_yr_2`, `point_notflight`, `avg_interval`, `max_interval`\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "LvPFRQ6GSqa_"
   },
   "outputs": [],
   "source": [
    "dfx = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "3s2kgYzbR9Ox"
   },
   "outputs": [],
   "source": [
    "dfx = dfx.drop(['MEMBER_NO','AGE','EXCHANGE_COUNT','SUM_YR_1','SUM_YR_2','Point_NotFlight','AVG_INTERVAL','MAX_INTERVAL'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 220
    },
    "executionInfo": {
     "elapsed": 109,
     "status": "ok",
     "timestamp": 1633796490467,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "IKjrUDpqTvEY",
    "outputId": "a6c5d606-d065-4901-dc67-e2dcd5bf7fe3"
   },
   "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>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>BP_SUM</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_FLIGHT_DATE</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Points_Sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11/2/2006</td>\n",
       "      <td>12/24/2008</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>210</td>\n",
       "      <td>505308</td>\n",
       "      <td>580717</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>0.961639</td>\n",
       "      <td>619760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4/10/2009</td>\n",
       "      <td>4/15/2009</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>152</td>\n",
       "      <td>273844</td>\n",
       "      <td>309928</td>\n",
       "      <td>3/27/2014</td>\n",
       "      <td>5</td>\n",
       "      <td>0.970658</td>\n",
       "      <td>338813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2/10/2008</td>\n",
       "      <td>9/29/2009</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>92</td>\n",
       "      <td>313338</td>\n",
       "      <td>294585</td>\n",
       "      <td>1/13/2014</td>\n",
       "      <td>79</td>\n",
       "      <td>0.967692</td>\n",
       "      <td>343121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3/22/2006</td>\n",
       "      <td>3/29/2006</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>101</td>\n",
       "      <td>248864</td>\n",
       "      <td>287042</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>0.965347</td>\n",
       "      <td>298873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>73</td>\n",
       "      <td>301864</td>\n",
       "      <td>287230</td>\n",
       "      <td>3/29/2014</td>\n",
       "      <td>3</td>\n",
       "      <td>0.962070</td>\n",
       "      <td>351198</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FFP_DATE FIRST_FLIGHT_DATE  FFP_TIER  ... LAST_TO_END  avg_discount  Points_Sum\n",
       "0  11/2/2006        12/24/2008         6  ...           1      0.961639      619760\n",
       "4  4/10/2009         4/15/2009         6  ...           5      0.970658      338813\n",
       "5  2/10/2008         9/29/2009         6  ...          79      0.967692      343121\n",
       "6  3/22/2006         3/29/2006         6  ...           1      0.965347      298873\n",
       "7   4/9/2010          4/9/2010         6  ...           3      0.962070      351198\n",
       "\n",
       "[5 rows x 11 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 721
    },
    "executionInfo": {
     "elapsed": 1091,
     "status": "ok",
     "timestamp": 1633796491457,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "O0Kc1DelTm2B",
    "outputId": "8dcf3a7e-50dc-459f-fb59-87abed9b5ec0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f20d626ba50>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "sns.heatmap(dfx.corr(), cmap='Blues', annot=True, fmt='.2f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WXavzKjQb2jQ"
   },
   "source": [
    "## Feature Selection 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IdJH4ZDMbE5y"
   },
   "source": [
    "Berdasarkan heatmap kedua:\n",
    "\n",
    "\n",
    "*   Fitur penting: dipilih menggunakan model LRFMC dimana fitur yang digunakan untuk model ini adalah: `load_time`, `ffp_date`, `last_to_end`, `flight_count`, `seg_km_sum`, `avg_discount`\n",
    "*   Dari EDA (heatmap) dilihat juga fitur yang berkorelasi sangat tinggi seperti  `bp_sum`, `seg_km_sum`, dan `point_sum` sehingga dalam modeling bisa memilih salah satu saja yaitu `seg_km_sum` sehingga `bp_sum` dan `point_sum` akan didrop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "RLNvzCEzcLww"
   },
   "outputs": [],
   "source": [
    "dfx = dfx.drop(['BP_SUM','Points_Sum'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 220
    },
    "executionInfo": {
     "elapsed": 50,
     "status": "ok",
     "timestamp": 1633796491463,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "nnKrv2lNdBbF",
    "outputId": "dd603b10-07b1-444e-c0fd-c5e0483ccdd6"
   },
   "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>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_FLIGHT_DATE</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>avg_discount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11/2/2006</td>\n",
       "      <td>12/24/2008</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>210</td>\n",
       "      <td>580717</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>0.961639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4/10/2009</td>\n",
       "      <td>4/15/2009</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>152</td>\n",
       "      <td>309928</td>\n",
       "      <td>3/27/2014</td>\n",
       "      <td>5</td>\n",
       "      <td>0.970658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2/10/2008</td>\n",
       "      <td>9/29/2009</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>92</td>\n",
       "      <td>294585</td>\n",
       "      <td>1/13/2014</td>\n",
       "      <td>79</td>\n",
       "      <td>0.967692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3/22/2006</td>\n",
       "      <td>3/29/2006</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>101</td>\n",
       "      <td>287042</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1</td>\n",
       "      <td>0.965347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>6</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>73</td>\n",
       "      <td>287230</td>\n",
       "      <td>3/29/2014</td>\n",
       "      <td>3</td>\n",
       "      <td>0.962070</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FFP_DATE FIRST_FLIGHT_DATE  ...  LAST_TO_END avg_discount\n",
       "0  11/2/2006        12/24/2008  ...            1     0.961639\n",
       "4  4/10/2009         4/15/2009  ...            5     0.970658\n",
       "5  2/10/2008         9/29/2009  ...           79     0.967692\n",
       "6  3/22/2006         3/29/2006  ...            1     0.965347\n",
       "7   4/9/2010          4/9/2010  ...            3     0.962070\n",
       "\n",
       "[5 rows x 9 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfx.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_YqTV6rMdd8f"
   },
   "source": [
    "Summary:\n",
    "- Distribusi pelanggan banyak terpusat di umur produktif (27 – 55 tahun). Hal ini bisa menjadi insight bahwa pelanggan melakukan perjalanan bisnis\n",
    "- Pelanggan Loyal bisa dilihat dari pembagian flight count per tahun menjadi member \n",
    "- Pelanggan lama bisa dilihat dari tanggal data diambil dikurang FFP join date\n",
    "\n",
    "Feature yang tidak ada akan ditambahkan dalam feature engineering\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vHpA_foJWlpB"
   },
   "source": [
    "## FEATURE ENGINEERING"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 51,
     "status": "ok",
     "timestamp": 1633796491465,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
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    "id": "ss1hcFQhF3eW",
    "outputId": "26da8b7f-e41e-4a11-a2a9-66814b96c579"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 60041 entries, 0 to 62987\n",
      "Data columns (total 9 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   FFP_DATE           60041 non-null  object \n",
      " 1   FIRST_FLIGHT_DATE  60041 non-null  object \n",
      " 2   FFP_TIER           60041 non-null  int64  \n",
      " 3   LOAD_TIME          60041 non-null  object \n",
      " 4   FLIGHT_COUNT       60041 non-null  int64  \n",
      " 5   SEG_KM_SUM         60041 non-null  int64  \n",
      " 6   LAST_FLIGHT_DATE   60041 non-null  object \n",
      " 7   LAST_TO_END        60041 non-null  int64  \n",
      " 8   avg_discount       60041 non-null  float64\n",
      "dtypes: float64(1), int64(4), object(4)\n",
      "memory usage: 4.6+ MB\n"
     ]
    }
   ],
   "source": [
    "dfa = dfx.copy()\n",
    "dfa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 428
    },
    "executionInfo": {
     "elapsed": 47,
     "status": "ok",
     "timestamp": 1633796491466,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
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    },
    "id": "sRTuqQ9VfEU7",
    "outputId": "09ffe86c-f1d0-4eaa-a9c6-b5194456a740"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
       "      <th>FFP_TIER</th>\n",
       "      <th>LOAD_TIME</th>\n",
       "      <th>FLIGHT_COUNT</th>\n",
       "      <th>SEG_KM_SUM</th>\n",
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       "      <th>avg_discount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>7/13/2005</td>\n",
       "      <td>8/6/2005</td>\n",
       "      <td>5</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>80</td>\n",
       "      <td>114222</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.664970</td>\n",
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       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>11/23/2010</td>\n",
       "      <td>11/23/2010</td>\n",
       "      <td>5</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>64</td>\n",
       "      <td>93264</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.682162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>12/15/2012</td>\n",
       "      <td>1/5/2013</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>67</td>\n",
       "      <td>89045</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.714237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1400</th>\n",
       "      <td>1/20/2011</td>\n",
       "      <td>1/20/2011</td>\n",
       "      <td>5</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>58</td>\n",
       "      <td>90921</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.676097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>2/12/2009</td>\n",
       "      <td>2/13/2009</td>\n",
       "      <td>5</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>58</td>\n",
       "      <td>74908</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.810649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61539</th>\n",
       "      <td>1/11/2013</td>\n",
       "      <td>7/10/2013</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>3</td>\n",
       "      <td>3513</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.276667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61871</th>\n",
       "      <td>7/26/2009</td>\n",
       "      <td>7/26/2009</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>2</td>\n",
       "      <td>1298</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.690000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61909</th>\n",
       "      <td>4/11/2011</td>\n",
       "      <td>4/20/2011</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>2</td>\n",
       "      <td>2595</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62721</th>\n",
       "      <td>10/31/2007</td>\n",
       "      <td>3/13/2008</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>2</td>\n",
       "      <td>1199</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.489525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62929</th>\n",
       "      <td>2/7/2010</td>\n",
       "      <td>7/31/2010</td>\n",
       "      <td>4</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>2</td>\n",
       "      <td>1312</td>\n",
       "      <td>2014/2/29  0:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>0.275000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>401 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         FFP_DATE FIRST_FLIGHT_DATE  ...  LAST_TO_END avg_discount\n",
       "832     7/13/2005          8/6/2005  ...           32     0.664970\n",
       "1292   11/23/2010        11/23/2010  ...           32     0.682162\n",
       "1294   12/15/2012          1/5/2013  ...           32     0.714237\n",
       "1400    1/20/2011         1/20/2011  ...           32     0.676097\n",
       "1434    2/12/2009         2/13/2009  ...           32     0.810649\n",
       "...           ...               ...  ...          ...          ...\n",
       "61539   1/11/2013         7/10/2013  ...           32     0.276667\n",
       "61871   7/26/2009         7/26/2009  ...           32     0.690000\n",
       "61909   4/11/2011         4/20/2011  ...           32     0.340000\n",
       "62721  10/31/2007         3/13/2008  ...           32     0.489525\n",
       "62929    2/7/2010         7/31/2010  ...           32     0.275000\n",
       "\n",
       "[401 rows x 9 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa[dfa['LAST_FLIGHT_DATE'] == '2014/2/29  0:00:00']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "A_8rrB1-gpIm"
   },
   "outputs": [],
   "source": [
    "dfa['LAST_FLIGHT_DATE'] = df['LAST_FLIGHT_DATE'].replace('2014/2/29  0:00:00', '2014/2/28  0:00:00')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "kEBfyiM0YK6g"
   },
   "outputs": [],
   "source": [
    "cats = ['FFP_DATE','FIRST_FLIGHT_DATE','LOAD_TIME','LAST_FLIGHT_DATE']\n",
    "dfa[cats] = dfa[cats].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 200
    },
    "executionInfo": {
     "elapsed": 45,
     "status": "ok",
     "timestamp": 1633796491468,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
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     "user_tz": -420
    },
    "id": "lnzi80RaYOp9",
    "outputId": "b822e817-4394-4671-e059-005c4ced3674"
   },
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>11/2/2006</td>\n",
       "      <td>12/24/2008</td>\n",
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       "      <td>3/31/2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4/10/2009</td>\n",
       "      <td>4/15/2009</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>3/27/2014</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2/10/2008</td>\n",
       "      <td>9/29/2009</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>1/13/2014</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3/22/2006</td>\n",
       "      <td>3/29/2006</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>3/31/2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>4/9/2010</td>\n",
       "      <td>3/31/2014</td>\n",
       "      <td>3/29/2014</td>\n",
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      "text/plain": [
       "    FFP_DATE FIRST_FLIGHT_DATE  LOAD_TIME LAST_FLIGHT_DATE\n",
       "0  11/2/2006        12/24/2008  3/31/2014        3/31/2014\n",
       "4  4/10/2009         4/15/2009  3/31/2014        3/27/2014\n",
       "5  2/10/2008         9/29/2009  3/31/2014        1/13/2014\n",
       "6  3/22/2006         3/29/2006  3/31/2014        3/31/2014\n",
       "7   4/9/2010          4/9/2010  3/31/2014        3/29/2014"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa_cat=dfa.select_dtypes(include='category')\n",
    "dfa_cat.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    "executionInfo": {
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     "status": "ok",
     "timestamp": 1633796491469,
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    },
    "id": "3L9Xz9RwYRD1",
    "outputId": "504ecefb-9cfd-4bb1-a05c-03d32053d467"
   },
   "outputs": [
    {
     "data": {
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       "      <td>0.328371</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>4.000000</td>\n",
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       "      <td>3.000000</td>\n",
       "      <td>7.00000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>210.0</td>\n",
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       "      <th>SEG_KM_SUM</th>\n",
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       "      <td>20335.635374</td>\n",
       "      <td>368.0</td>\n",
       "      <td>4713.000000</td>\n",
       "      <td>9878.00000</td>\n",
       "      <td>20893.000000</td>\n",
       "      <td>580717.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <td>60041.0</td>\n",
       "      <td>177.260855</td>\n",
       "      <td>184.117824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>109.00000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>731.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>avg_discount</th>\n",
       "      <td>60041.0</td>\n",
       "      <td>0.695875</td>\n",
       "      <td>0.144030</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.605626</td>\n",
       "      <td>0.70339</td>\n",
       "      <td>0.794527</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                count          mean  ...           75%       max\n",
       "FFP_TIER      60041.0      4.081727  ...      4.000000       6.0\n",
       "FLIGHT_COUNT  60041.0     11.654220  ...     14.000000     210.0\n",
       "SEG_KM_SUM    60041.0  16772.027931  ...  20893.000000  580717.0\n",
       "LAST_TO_END   60041.0    177.260855  ...    270.000000     731.0\n",
       "avg_discount  60041.0      0.695875  ...      0.794527       1.0\n",
       "\n",
       "[5 rows x 8 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric=['int8', 'int16', 'int32', 'int64', 'float16', 'float32', 'float64']\n",
    "dfa_num=dfa.select_dtypes(include=numeric)\n",
    "dfa_num.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 44,
     "status": "ok",
     "timestamp": 1633796491470,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
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    "id": "XeWouE5Kfw3k",
    "outputId": "69ac8457-53e7-4416-c9d5-0ce8d55d3f5b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 60041 entries, 0 to 62987\n",
      "Data columns (total 9 columns):\n",
      " #   Column             Non-Null Count  Dtype   \n",
      "---  ------             --------------  -----   \n",
      " 0   FFP_DATE           60041 non-null  category\n",
      " 1   FIRST_FLIGHT_DATE  60041 non-null  category\n",
      " 2   FFP_TIER           60041 non-null  int64   \n",
      " 3   LOAD_TIME          60041 non-null  category\n",
      " 4   FLIGHT_COUNT       60041 non-null  int64   \n",
      " 5   SEG_KM_SUM         60041 non-null  int64   \n",
      " 6   LAST_FLIGHT_DATE   60041 non-null  category\n",
      " 7   LAST_TO_END        60041 non-null  int64   \n",
      " 8   avg_discount       60041 non-null  float64 \n",
      "dtypes: category(4), float64(1), int64(4)\n",
      "memory usage: 3.5 MB\n"
     ]
    }
   ],
   "source": [
    "dfa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "FmZdcFFhYU7B"
   },
   "outputs": [],
   "source": [
    "## format data yang merupakan tanggal\n",
    "dfa[\"LOAD_TIME\"] = pd.to_datetime(dfa[\"LOAD_TIME\"])\n",
    "dfa[\"FFP_DATE\"] = pd.to_datetime(dfa[\"FFP_DATE\"])\n",
    "dfa[\"FIRST_FLIGHT_DATE\"] = pd.to_datetime(dfa[\"FIRST_FLIGHT_DATE\"])\n",
    "dfa[\"LAST_FLIGHT_DATE\"] = pd.to_datetime(dfa[\"LAST_FLIGHT_DATE\"])\n",
    "dfa[\"LOAD_TIME\"] = dfa[\"LOAD_TIME\"].values.astype('datetime64[ns]')\n",
    "dfa[\"FFP_DATE\"] = dfa[\"FFP_DATE\"].values.astype('datetime64[ns]')\n",
    "dfa[\"FIRST_FLIGHT_DATE\"] = dfa[\"FIRST_FLIGHT_DATE\"].values.astype('datetime64[ns]')\n",
    "dfa[\"LAST_FLIGHT_DATE\"] = dfa[\"LAST_FLIGHT_DATE\"].values.astype('datetime64[ns]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 47,
     "status": "ok",
     "timestamp": 1633796499743,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
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     "user_tz": -420
    },
    "id": "Xm9VsS-4YcCj",
    "outputId": "988364f5-20ff-4335-daba-c84299deaad3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 60041 entries, 0 to 62987\n",
      "Data columns (total 9 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   FFP_DATE           60041 non-null  datetime64[ns]\n",
      " 1   FIRST_FLIGHT_DATE  60041 non-null  datetime64[ns]\n",
      " 2   FFP_TIER           60041 non-null  int64         \n",
      " 3   LOAD_TIME          60041 non-null  datetime64[ns]\n",
      " 4   FLIGHT_COUNT       60041 non-null  int64         \n",
      " 5   SEG_KM_SUM         60041 non-null  int64         \n",
      " 6   LAST_FLIGHT_DATE   60041 non-null  datetime64[ns]\n",
      " 7   LAST_TO_END        60041 non-null  int64         \n",
      " 8   avg_discount       60041 non-null  float64       \n",
      "dtypes: datetime64[ns](4), float64(1), int64(4)\n",
      "memory usage: 4.6 MB\n"
     ]
    }
   ],
   "source": [
    "dfa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "4sWUcrbTYfzb"
   },
   "outputs": [],
   "source": [
    "dfa['Meeting_Time'] = (dfa['LOAD_TIME'] - dfa['FFP_DATE'])/np.timedelta64(1,'M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 301
    },
    "executionInfo": {
     "elapsed": 44,
     "status": "ok",
     "timestamp": 1633796499747,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "u-RyqXj-Lw4G",
    "outputId": "2b1efeb4-0b30-4b61-d065-90888a51a942"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FFP_DATE</th>\n",
       "      <th>FIRST_FLIGHT_DATE</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006-11-02</td>\n",
       "      <td>2008-12-24</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>210</td>\n",
       "      <td>580717</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>1</td>\n",
       "      <td>0.961639</td>\n",
       "      <td>88.905316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2009-04-10</td>\n",
       "      <td>2009-04-15</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>152</td>\n",
       "      <td>309928</td>\n",
       "      <td>2014-03-27</td>\n",
       "      <td>5</td>\n",
       "      <td>0.970658</td>\n",
       "      <td>59.664469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>2009-09-29</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>92</td>\n",
       "      <td>294585</td>\n",
       "      <td>2014-01-13</td>\n",
       "      <td>79</td>\n",
       "      <td>0.967692</td>\n",
       "      <td>73.627795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006-03-22</td>\n",
       "      <td>2006-03-29</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>101</td>\n",
       "      <td>287042</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>1</td>\n",
       "      <td>0.965347</td>\n",
       "      <td>96.297665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010-04-09</td>\n",
       "      <td>2010-04-09</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>73</td>\n",
       "      <td>287230</td>\n",
       "      <td>2014-03-29</td>\n",
       "      <td>3</td>\n",
       "      <td>0.962070</td>\n",
       "      <td>47.705292</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FFP_DATE FIRST_FLIGHT_DATE  ...  avg_discount Meeting_Time\n",
       "0 2006-11-02        2008-12-24  ...      0.961639    88.905316\n",
       "4 2009-04-10        2009-04-15  ...      0.970658    59.664469\n",
       "5 2008-02-10        2009-09-29  ...      0.967692    73.627795\n",
       "6 2006-03-22        2006-03-29  ...      0.965347    96.297665\n",
       "7 2010-04-09        2010-04-09  ...      0.962070    47.705292\n",
       "\n",
       "[5 rows x 10 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "soHu_3mThZzD"
   },
   "outputs": [],
   "source": [
    "dfa['Flight_Count/Year']= dfa['FLIGHT_COUNT']/ ((dfa['LAST_FLIGHT_DATE'] - dfa['FIRST_FLIGHT_DATE'])/np.timedelta64(1,'Y'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 301
    },
    "executionInfo": {
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     "status": "ok",
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     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
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    },
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    "outputId": "af544d69-f7c8-46e4-b362-e351596fca61"
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   "outputs": [
    {
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <td>2006-11-02</td>\n",
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       "      <th>4</th>\n",
       "      <td>2009-04-10</td>\n",
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       "      <td>152</td>\n",
       "      <td>309928</td>\n",
       "      <td>2014-03-27</td>\n",
       "      <td>5</td>\n",
       "      <td>0.970658</td>\n",
       "      <td>59.664469</td>\n",
       "      <td>30.723221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008-02-10</td>\n",
       "      <td>2009-09-29</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>92</td>\n",
       "      <td>294585</td>\n",
       "      <td>2014-01-13</td>\n",
       "      <td>79</td>\n",
       "      <td>0.967692</td>\n",
       "      <td>73.627795</td>\n",
       "      <td>21.443720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006-03-22</td>\n",
       "      <td>2006-03-29</td>\n",
       "      <td>6</td>\n",
       "      <td>2014-03-31</td>\n",
       "      <td>101</td>\n",
       "      <td>287042</td>\n",
       "      <td>2014-03-31</td>\n",
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       "      <td>96.297665</td>\n",
       "      <td>12.616106</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "    FFP_DATE FIRST_FLIGHT_DATE  ...  Meeting_Time Flight_Count/Year\n",
       "0 2006-11-02        2008-12-24  ...     88.905316         39.886076\n",
       "4 2009-04-10        2009-04-15  ...     59.664469         30.723221\n",
       "5 2008-02-10        2009-09-29  ...     73.627795         21.443720\n",
       "6 2006-03-22        2006-03-29  ...     96.297665         12.616106\n",
       "7 2010-04-09        2010-04-09  ...     47.705292         18.388071\n",
       "\n",
       "[5 rows x 11 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 44,
     "status": "ok",
     "timestamp": 1633796499751,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
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    "id": "TVzh-eFuY5RJ",
    "outputId": "0bf02d6d-f6d9-409e-c4c2-0d03c6efb8f7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 60041 entries, 0 to 62987\n",
      "Data columns (total 11 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   FFP_DATE           60041 non-null  datetime64[ns]\n",
      " 1   FIRST_FLIGHT_DATE  60041 non-null  datetime64[ns]\n",
      " 2   FFP_TIER           60041 non-null  int64         \n",
      " 3   LOAD_TIME          60041 non-null  datetime64[ns]\n",
      " 4   FLIGHT_COUNT       60041 non-null  int64         \n",
      " 5   SEG_KM_SUM         60041 non-null  int64         \n",
      " 6   LAST_FLIGHT_DATE   60041 non-null  datetime64[ns]\n",
      " 7   LAST_TO_END        60041 non-null  int64         \n",
      " 8   avg_discount       60041 non-null  float64       \n",
      " 9   Meeting_Time       60041 non-null  float64       \n",
      " 10  Flight_Count/Year  60041 non-null  float64       \n",
      "dtypes: datetime64[ns](4), float64(3), int64(4)\n",
      "memory usage: 5.5 MB\n"
     ]
    }
   ],
   "source": [
    "dfa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gSfIxA3biG9O"
   },
   "outputs": [],
   "source": [
    "dfa = dfa.drop(['FFP_DATE','FIRST_FLIGHT_DATE','LAST_FLIGHT_DATE','LOAD_TIME','FLIGHT_COUNT'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 46,
     "status": "ok",
     "timestamp": 1633796499759,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
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    },
    "id": "4ZtBzLyyiTaL",
    "outputId": "ea192680-f742-426a-afd4-8c58a5857a28"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 60041 entries, 0 to 62987\n",
      "Data columns (total 6 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   FFP_TIER           60041 non-null  int64  \n",
      " 1   SEG_KM_SUM         60041 non-null  int64  \n",
      " 2   LAST_TO_END        60041 non-null  int64  \n",
      " 3   avg_discount       60041 non-null  float64\n",
      " 4   Meeting_Time       60041 non-null  float64\n",
      " 5   Flight_Count/Year  60041 non-null  float64\n",
      "dtypes: float64(3), int64(3)\n",
      "memory usage: 3.2 MB\n"
     ]
    }
   ],
   "source": [
    "dfa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 200
    },
    "executionInfo": {
     "elapsed": 47,
     "status": "ok",
     "timestamp": 1633796499764,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
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    "id": "htaBTBUUjiv0",
    "outputId": "a6cfb92d-d116-43c7-a318-a27ace7b5bcc"
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    {
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       "      <td>294585</td>\n",
       "      <td>79</td>\n",
       "      <td>0.967692</td>\n",
       "      <td>73.627795</td>\n",
       "      <td>21.443720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>287042</td>\n",
       "      <td>1</td>\n",
       "      <td>0.965347</td>\n",
       "      <td>96.297665</td>\n",
       "      <td>12.616106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6</td>\n",
       "      <td>287230</td>\n",
       "      <td>3</td>\n",
       "      <td>0.962070</td>\n",
       "      <td>47.705292</td>\n",
       "      <td>18.388071</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FFP_TIER  SEG_KM_SUM  ...  Meeting_Time  Flight_Count/Year\n",
       "0         6      580717  ...     88.905316          39.886076\n",
       "4         6      309928  ...     59.664469          30.723221\n",
       "5         6      294585  ...     73.627795          21.443720\n",
       "6         6      287042  ...     96.297665          12.616106\n",
       "7         6      287230  ...     47.705292          18.388071\n",
       "\n",
       "[5 rows x 6 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 46,
     "status": "ok",
     "timestamp": 1633796499765,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "z9MDljrljOSA",
    "outputId": "e99c42cf-d078-4317-ea74-90513048399c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FFP_TIER             0\n",
       "SEG_KM_SUM           0\n",
       "LAST_TO_END          0\n",
       "avg_discount         0\n",
       "Meeting_Time         0\n",
       "Flight_Count/Year    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfa.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Jadi 6 fitur yang akan dipakai adalah :\n",
    "1. FFP_TIER, \n",
    "2. SEG_KM_SUM, \n",
    "3. LAST_TO_END, \n",
    "4. avg_discount, \n",
    "5. Meeting_Time\n",
    "6. Flight_Count/Year\n",
    "\n",
    "berdasarkan hasil feature engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8hRIlmVywz_o"
   },
   "source": [
    "## Handle Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 256
    },
    "executionInfo": {
     "elapsed": 1192,
     "status": "ok",
     "timestamp": 1633796500916,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "M7o262dHwxuc",
    "outputId": "2d23cd6e-cb7d-49d0-9389-33df69f8abb9"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nums=['FFP_TIER','SEG_KM_SUM','LAST_TO_END','avg_discount','Meeting_Time','Flight_Count/Year']\n",
    "plt.figure(figsize = (12,4))\n",
    "for i in range(0, len(nums)):\n",
    "    plt.subplot(1, 6, i+1)\n",
    "    sns.boxplot(y = dfa[nums[i]], orient='v')\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 21,
     "status": "ok",
     "timestamp": 1633796500918,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "HWH8hTJTxPFB",
    "outputId": "e31bb998-4d3b-4b9d-d24f-84923c7bb5f1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jumlah baris sebelum memfilter outlier: 60041\n",
      "Jumlah baris setelah memfilter outlier 48882\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(f'Jumlah baris sebelum memfilter outlier: {len(dfa)}')\n",
    "\n",
    "fil_ent = np.array([True] * len(dfa))\n",
    "for col in ['SEG_KM_SUM','LAST_TO_END','avg_discount','Meeting_Time','Flight_Count/Year']:\n",
    "    Q1 = dfa[col].quantile(0.25)\n",
    "    Q3 = dfa[col].quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    low_limit = Q1 - (IQR * 1.5)\n",
    "    high_limit = Q3 + (IQR * 1.5)\n",
    "\n",
    "    fil_ent = ((dfa[col] >= low_limit) & (dfa[col] <= high_limit)) & fil_ent\n",
    "    \n",
    "dfa = dfa[fil_ent].reset_index()\n",
    "\n",
    "print('Jumlah baris setelah memfilter outlier', len(dfa))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "aoRDL58Lzryl"
   },
   "outputs": [],
   "source": [
    "dfa = dfa.drop(['FFP_TIER'], axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8OLEXrqTihfu"
   },
   "source": [
    "## Standardisasi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "w5zxrrzblD32"
   },
   "outputs": [],
   "source": [
    "dfa =dfa[~dfa.isin([np.nan, np.inf, -np.inf]).any(1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OKtZ2RH6BrS8"
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "feats = ['SEG_KM_SUM','LAST_TO_END','avg_discount','Meeting_Time','Flight_Count/Year']\n",
    "X = dfa[feats].values\n",
    "X_std = StandardScaler().fit_transform(X)\n",
    "dfs = pd.DataFrame(data=X_std, columns=feats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 200
    },
    "executionInfo": {
     "elapsed": 24,
     "status": "ok",
     "timestamp": 1633796500927,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "RiisY_3Vy-X2",
    "outputId": "757e7a68-2e63-4f65-88a8-6137c21bcc73"
   },
   "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>SEG_KM_SUM</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Meeting_Time</th>\n",
       "      <th>Flight_Count/Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.946823</td>\n",
       "      <td>-0.433412</td>\n",
       "      <td>2.186105</td>\n",
       "      <td>-0.640830</td>\n",
       "      <td>2.364728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.151836</td>\n",
       "      <td>-0.776593</td>\n",
       "      <td>1.816499</td>\n",
       "      <td>0.463661</td>\n",
       "      <td>0.441358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.006257</td>\n",
       "      <td>-0.242755</td>\n",
       "      <td>2.044803</td>\n",
       "      <td>2.258308</td>\n",
       "      <td>-0.290352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.039276</td>\n",
       "      <td>1.225298</td>\n",
       "      <td>1.937261</td>\n",
       "      <td>0.669624</td>\n",
       "      <td>-0.609352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.069732</td>\n",
       "      <td>-0.871921</td>\n",
       "      <td>1.869654</td>\n",
       "      <td>0.002352</td>\n",
       "      <td>1.326259</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SEG_KM_SUM  LAST_TO_END  avg_discount  Meeting_Time  Flight_Count/Year\n",
       "0    2.946823    -0.433412      2.186105     -0.640830           2.364728\n",
       "1    3.151836    -0.776593      1.816499      0.463661           0.441358\n",
       "2    3.006257    -0.242755      2.044803      2.258308          -0.290352\n",
       "3    3.039276     1.225298      1.937261      0.669624          -0.609352\n",
       "4    3.069732    -0.871921      1.869654      0.002352           1.326259"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1kNHWajkG8F1"
   },
   "source": [
    "## Clustering: K-means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 390
    },
    "executionInfo": {
     "elapsed": 22491,
     "status": "ok",
     "timestamp": 1633796523398,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "uvSeWVPJG-_-",
    "outputId": "a66a6304-e2a6-499f-b543-5201ab323dc0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f20d60aba10>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "inertia = []\n",
    "\n",
    "for i in range(1, 11):\n",
    "    kmeans = KMeans(n_clusters=i, random_state=0)\n",
    "    kmeans.fit(dfs)\n",
    "    inertia.append(kmeans.inertia_)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(20, 10))\n",
    "# plt.plot(inertia)\n",
    "\n",
    "sns.lineplot(x=range(1, 11), y=inertia, color='#000087', linewidth = 4)\n",
    "sns.scatterplot(x=range(1, 11), y=inertia, s=300, color='#800000',  linestyle='--')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1981,
     "status": "ok",
     "timestamp": 1633796525326,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "0dfVMN9doEnl",
    "outputId": "bd3116b4-500a-4a7b-fefc-16895f35f76d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "       n_clusters=4, n_init=10, n_jobs=None, precompute_distances='auto',\n",
       "       random_state=0, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "kmeans = KMeans(n_clusters=4, random_state=0)\n",
    "kmeans.fit(dfs.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 200
    },
    "executionInfo": {
     "elapsed": 30,
     "status": "ok",
     "timestamp": 1633796525329,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
     "user_tz": -420
    },
    "id": "2kZJCztvpotp",
    "outputId": "d5a5a752-1d1b-437a-aac7-999bb7f1270e"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEG_KM_SUM</th>\n",
       "      <th>LAST_TO_END</th>\n",
       "      <th>avg_discount</th>\n",
       "      <th>Meeting_Time</th>\n",
       "      <th>Flight_Count/Year</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2.946823</td>\n",
       "      <td>-0.433412</td>\n",
       "      <td>2.186105</td>\n",
       "      <td>-0.640830</td>\n",
       "      <td>2.364728</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.151836</td>\n",
       "      <td>-0.776593</td>\n",
       "      <td>1.816499</td>\n",
       "      <td>0.463661</td>\n",
       "      <td>0.441358</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.006257</td>\n",
       "      <td>-0.242755</td>\n",
       "      <td>2.044803</td>\n",
       "      <td>2.258308</td>\n",
       "      <td>-0.290352</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.039276</td>\n",
       "      <td>1.225298</td>\n",
       "      <td>1.937261</td>\n",
       "      <td>0.669624</td>\n",
       "      <td>-0.609352</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.069732</td>\n",
       "      <td>-0.871921</td>\n",
       "      <td>1.869654</td>\n",
       "      <td>0.002352</td>\n",
       "      <td>1.326259</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SEG_KM_SUM  LAST_TO_END  ...  Flight_Count/Year  cluster\n",
       "0    2.946823    -0.433412  ...           2.364728        1\n",
       "1    3.151836    -0.776593  ...           0.441358        1\n",
       "2    3.006257    -0.242755  ...          -0.290352        0\n",
       "3    3.039276     1.225298  ...          -0.609352        0\n",
       "4    3.069732    -0.871921  ...           1.326259        1\n",
       "\n",
       "[5 rows x 6 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs['cluster'] = kmeans.labels_\n",
    "dfs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "LZt7LpVjuXGg"
   },
   "outputs": [],
   "source": [
    "dfa['cluster'] = kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 250
    },
    "executionInfo": {
     "elapsed": 36,
     "status": "ok",
     "timestamp": 1633796525336,
     "user": {
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    },
    "id": "BJpOH0YXtI5u",
    "outputId": "f3baac5c-eecd-41db-802c-e26f5a36c851"
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">index</th>\n",
       "      <th colspan=\"2\" halign=\"left\">SEG_KM_SUM</th>\n",
       "      <th colspan=\"2\" halign=\"left\">LAST_TO_END</th>\n",
       "      <th colspan=\"2\" halign=\"left\">avg_discount</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Meeting_Time</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Flight_Count/Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cluster</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>26435.201628</td>\n",
       "      <td>23625</td>\n",
       "      <td>16563.558510</td>\n",
       "      <td>14608.0</td>\n",
       "      <td>87.372948</td>\n",
       "      <td>67</td>\n",
       "      <td>0.710600</td>\n",
       "      <td>0.713211</td>\n",
       "      <td>80.687529</td>\n",
       "      <td>80.395901</td>\n",
       "      <td>2.259611</td>\n",
       "      <td>1.875443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19195.172600</td>\n",
       "      <td>15982</td>\n",
       "      <td>22257.667047</td>\n",
       "      <td>21543.0</td>\n",
       "      <td>102.254593</td>\n",
       "      <td>59</td>\n",
       "      <td>0.712065</td>\n",
       "      <td>0.715332</td>\n",
       "      <td>29.596675</td>\n",
       "      <td>25.101131</td>\n",
       "      <td>10.550579</td>\n",
       "      <td>9.961159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40131.050767</td>\n",
       "      <td>39889</td>\n",
       "      <td>8195.435842</td>\n",
       "      <td>7196.0</td>\n",
       "      <td>113.475673</td>\n",
       "      <td>98</td>\n",
       "      <td>0.657686</td>\n",
       "      <td>0.662702</td>\n",
       "      <td>32.427532</td>\n",
       "      <td>30.850736</td>\n",
       "      <td>3.673931</td>\n",
       "      <td>3.290473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>44748.749663</td>\n",
       "      <td>46522</td>\n",
       "      <td>5888.867640</td>\n",
       "      <td>4663.5</td>\n",
       "      <td>424.043820</td>\n",
       "      <td>419</td>\n",
       "      <td>0.735520</td>\n",
       "      <td>0.746035</td>\n",
       "      <td>51.683586</td>\n",
       "      <td>47.688864</td>\n",
       "      <td>2.944816</td>\n",
       "      <td>1.727888</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                index         ... Flight_Count/Year          \n",
       "                 mean median  ...              mean    median\n",
       "cluster                       ...                            \n",
       "0        26435.201628  23625  ...          2.259611  1.875443\n",
       "1        19195.172600  15982  ...         10.550579  9.961159\n",
       "2        40131.050767  39889  ...          3.673931  3.290473\n",
       "3        44748.749663  46522  ...          2.944816  1.727888\n",
       "\n",
       "[4 rows x 12 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(dfa.groupby('cluster').agg(['mean','median']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_3xDNHV5qm7S"
   },
   "outputs": [],
   "source": [
    "## melakukan PCA untuk melihat visualisasi\n",
    "from sklearn.decomposition import PCA \n",
    "pca = PCA(n_components=2)\n",
    "\n",
    "pca.fit(dfs)\n",
    "pcs = pca.transform(dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 200
    },
    "executionInfo": {
     "elapsed": 47,
     "status": "ok",
     "timestamp": 1633796525349,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
      "userId": "14221346089845227754"
     },
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    },
    "id": "9ji9TCQ6sZ0N",
    "outputId": "c41ddefd-a101-486f-b2ff-8a072ee84e7e"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC 1</th>\n",
       "      <th>PC 2</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.850496</td>\n",
       "      <td>2.894874</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.324234</td>\n",
       "      <td>0.969372</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.152077</td>\n",
       "      <td>-0.889668</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.945420</td>\n",
       "      <td>-0.335250</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.249357</td>\n",
       "      <td>1.870184</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PC 1      PC 2  cluster\n",
       "0  1.850496  2.894874        1\n",
       "1  2.324234  0.969372        1\n",
       "2  3.152077 -0.889668        0\n",
       "3  1.945420 -0.335250        0\n",
       "4  2.249357  1.870184        1"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pca = pd.DataFrame(data = pcs, columns = ['PC 1', 'PC 2'])\n",
    "data_pca['cluster'] = dfs['cluster']\n",
    "data_pca.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 517
    },
    "executionInfo": {
     "elapsed": 11921,
     "status": "ok",
     "timestamp": 1633796537224,
     "user": {
      "displayName": "Dwirany Dian Audry Sinaga",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhJuA3Eawwv9A6I4q2hjHIUJOgb2PtdAgpj12yqRw=s64",
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    },
    "id": "DK-tp1FFs4jx",
    "outputId": "e9ff58b4-0c66-4175-9e85-74c62e1460c5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f20d3bed450>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "\n",
    "sns.scatterplot(\n",
    "    x=\"PC 1\", y=\"PC 2\",\n",
    "    hue=\"cluster\",\n",
    "    edgecolor='black',\n",
    "    linestyle='--',\n",
    "    data=data_pca,\n",
    "    palette=['blue','red','green','yellow'],\n",
    "    s=160,\n",
    "    ax=ax\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "6KBUsNcJ1BH0"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "[HOMEWORK] Machine Learning Unsupervised.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}