구별순위.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xT6BauZpj4vi",
    "outputId": "012fbea5-e712-4521-e63f-cdc083d01707",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'sudo'은(는) 내부 또는 외부 명령, 실행할 수 있는 프로그램, 또는\n",
      "배치 파일이 아닙니다.\n",
      "'sudo'은(는) 내부 또는 외부 명령, 실행할 수 있는 프로그램, 또는\n",
      "배치 파일이 아닙니다.\n",
      "'rm'은(는) 내부 또는 외부 명령, 실행할 수 있는 프로그램, 또는\n",
      "배치 파일이 아닙니다.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "!sudo apt-get install -y fonts-\n",
    "!sudo fc-cache -fv\n",
    "!rm ~/.cache/matplotlib -rf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "s5y9ze-8kUru",
    "outputId": "e0175bfd-90e4-4553-ef50-b562e47441e1",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['$RECYCLE.BIN',\n",
       " '1. 파일설명서',\n",
       " 'Card-recommend-main',\n",
       " 'fonts',\n",
       " 'sepblock.csv',\n",
       " 'shp(V3)',\n",
       " '~$동별블록코드축소판.xlsx',\n",
       " '동별블록코드축소판.xlsx',\n",
       " '블록_성별연령대별_201901.csv',\n",
       " '블록_성별연령대별_201901.txt',\n",
       " '블록_성별연령대별_2019011.csv',\n",
       " '블록_성별연령대별_201901111.csv',\n",
       " '블록_성별연령대별_201902.csv',\n",
       " '블록_성별연령대별_201903.txt',\n",
       " '블록_성별연령대별_201904.txt',\n",
       " '블록_성별연령대별_201905.txt',\n",
       " '블록_성별연령대별_201906.txt',\n",
       " '블록_성별연령대별_201907.txt',\n",
       " '블록_성별연령대별_201908.txt',\n",
       " '블록_성별연령대별_201909.txt',\n",
       " '블록_성별연령대별_201910.txt',\n",
       " '블록_성별연령대별_201911.txt',\n",
       " '블록_성별연령대별_201912.txt',\n",
       " '블록_성별연령대별_202001.txt',\n",
       " '블록_성별연령대별_202002.txt',\n",
       " '블록_성별연령대별_202003.txt',\n",
       " '블록_성별연령대별_202004.txt',\n",
       " '블록_성별연령대별_202005.txt',\n",
       " '블록_성별연령대별_202006.txt',\n",
       " '블록_성별연령대별_202007.txt',\n",
       " '블록_성별연령대별_202008.txt',\n",
       " '블록_성별연령대별_202009.txt',\n",
       " '블록_성별연령대별_202010.txt',\n",
       " '블록_성별연령대별_202011.txt',\n",
       " '블록_성별연령대별_202012.txt',\n",
       " '블록_시간대별소액결제건수_201901.txt',\n",
       " '블록_시간대별소액결제건수_201902.txt',\n",
       " '블록_시간대별소액결제건수_201903.txt',\n",
       " '블록_시간대별소액결제건수_201904.txt',\n",
       " '블록_시간대별소액결제건수_201905.txt',\n",
       " '블록_시간대별소액결제건수_201906.txt',\n",
       " '블록_시간대별소액결제건수_201907.txt',\n",
       " '블록_시간대별소액결제건수_201908.txt',\n",
       " '블록_시간대별소액결제건수_201909.txt',\n",
       " '블록_시간대별소액결제건수_201910.txt',\n",
       " '블록_시간대별소액결제건수_201911.txt',\n",
       " '블록_시간대별소액결제건수_201912.txt',\n",
       " '블록_시간대별소액결제건수_202001.txt',\n",
       " '블록_시간대별소액결제건수_202002.txt',\n",
       " '블록_시간대별소액결제건수_202003.txt',\n",
       " '블록_시간대별소액결제건수_202004.txt',\n",
       " '블록_시간대별소액결제건수_202005.txt',\n",
       " '블록_시간대별소액결제건수_202006.txt',\n",
       " '블록_시간대별소액결제건수_202007.txt',\n",
       " '블록_시간대별소액결제건수_202008.txt',\n",
       " '블록_시간대별소액결제건수_202009.txt',\n",
       " '블록_시간대별소액결제건수_202010.txt',\n",
       " '블록_시간대별소액결제건수_202011.txt',\n",
       " '블록_시간대별소액결제건수_202012.txt',\n",
       " '서울시민 카드소비 업종코드.csv',\n",
       " '신한카드_내국인_63업종_코드.csv',\n",
       " '집계구_일별소비지역별_201901.txt',\n",
       " '집계구_일별소비지역별_201902.txt',\n",
       " '집계구_일별소비지역별_201903.txt',\n",
       " '집계구_일별소비지역별_201904.txt',\n",
       " '집계구_일별소비지역별_201905.txt',\n",
       " '집계구_일별소비지역별_201906.txt',\n",
       " '집계구_일별소비지역별_201907.txt',\n",
       " '집계구_일별소비지역별_201908.txt',\n",
       " '집계구_일별소비지역별_201909.txt',\n",
       " '집계구_일별소비지역별_201910.txt',\n",
       " '집계구_일별소비지역별_201911.txt',\n",
       " '집계구_일별소비지역별_201912.txt',\n",
       " '집계구_일별소비지역별_202001.txt',\n",
       " '집계구_일별소비지역별_202002.txt',\n",
       " '집계구_일별소비지역별_202003.txt',\n",
       " '집계구_일별소비지역별_202004.txt',\n",
       " '집계구_일별소비지역별_202005.txt',\n",
       " '집계구_일별소비지역별_202006.txt',\n",
       " '집계구_일별소비지역별_202007.txt',\n",
       " '집계구_일별소비지역별_202008.txt',\n",
       " '집계구_일별소비지역별_202009.txt',\n",
       " '집계구_일별소비지역별_202010.txt',\n",
       " '집계구_일별소비지역별_202011.txt',\n",
       " '집계구_일별소비지역별_202012.txt',\n",
       " '집계구_일별시간대별_201901.txt',\n",
       " '집계구_일별시간대별_201902.txt',\n",
       " '집계구_일별시간대별_201903.txt',\n",
       " '집계구_일별시간대별_201904.txt',\n",
       " '집계구_일별시간대별_201905.txt',\n",
       " '집계구_일별시간대별_201906.txt',\n",
       " '집계구_일별시간대별_201907.txt',\n",
       " '집계구_일별시간대별_201908.txt',\n",
       " '집계구_일별시간대별_201909.txt',\n",
       " '집계구_일별시간대별_201910.txt',\n",
       " '집계구_일별시간대별_201911.txt',\n",
       " '집계구_일별시간대별_201912.txt',\n",
       " '집계구_일별시간대별_202001.txt',\n",
       " '집계구_일별시간대별_202002.txt',\n",
       " '집계구_일별시간대별_202003.txt',\n",
       " '집계구_일별시간대별_202004.txt',\n",
       " '집계구_일별시간대별_202005.txt',\n",
       " '집계구_일별시간대별_202006.txt',\n",
       " '집계구_일별시간대별_202007.txt',\n",
       " '집계구_일별시간대별_202008.txt',\n",
       " '집계구_일별시간대별_202009.txt',\n",
       " '집계구_일별시간대별_202010.txt',\n",
       " '집계구_일별시간대별_202011.txt',\n",
       " '집계구_일별시간대별_202012.txt',\n",
       " '집계구코드.xlsx']"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path='E:/'\n",
    "os.listdir(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 257
    },
    "collapsed": true,
    "id": "5_7GVYDYlR7Z",
    "outputId": "0fe577a0-eaf8-4985-eb2c-1d1c3954e85c"
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>서울시민업종코드</th>\n",
       "      <th>기준년월</th>\n",
       "      <th>고객주소블록코드</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>카드이용금액계</th>\n",
       "      <th>카드이용건수계</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>158138</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>1582560</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SS002</td>\n",
       "      <td>201901</td>\n",
       "      <td>344052</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>506520</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SS002</td>\n",
       "      <td>201901</td>\n",
       "      <td>417018</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>987840</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>227572</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>2074968</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>207901</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>3469435</td>\n",
       "      <td>474</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  서울시민업종코드    기준년월  고객주소블록코드 성별 연령대별  카드이용금액계  카드이용건수계\n",
       "0    SS001  201901    158138  M  60대  1582560       30\n",
       "1    SS002  201901    344052  F  30대   506520       10\n",
       "2    SS002  201901    417018  M  30대   987840       50\n",
       "3    SS008  201901    227572  F  20대  2074968      207\n",
       "4    SS016  201901    207901  F  30대  3469435      474"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPJONG_Df=pd.read_csv(os.path.join(path, '블록_성별연령대별_201901111.csv'),encoding='utf-8', sep='|')\n",
    "UPJONG_Df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UPJONG_CD</th>\n",
       "      <th>기준년월</th>\n",
       "      <th>고객주소블록코드</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>카드이용금액계</th>\n",
       "      <th>카드이용건수계</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>158138</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>1582560</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SS002</td>\n",
       "      <td>201901</td>\n",
       "      <td>344052</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>506520</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SS002</td>\n",
       "      <td>201901</td>\n",
       "      <td>417018</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>987840</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>227572</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>2074968</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>207901</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>3469435</td>\n",
       "      <td>474</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  UPJONG_CD    기준년월  고객주소블록코드 성별 연령대별  카드이용금액계  카드이용건수계\n",
       "0     SS001  201901    158138  M  60대  1582560       30\n",
       "1     SS002  201901    344052  F  30대   506520       10\n",
       "2     SS002  201901    417018  M  30대   987840       50\n",
       "3     SS008  201901    227572  F  20대  2074968      207\n",
       "4     SS016  201901    207901  F  30대  3469435      474"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPJONG_Df.rename(columns={'서울시민업종코드':'UPJONG_CD'},inplace=True)\n",
    "UPJONG_Df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 220
    },
    "collapsed": true,
    "id": "XFru0R1Cq52j",
    "outputId": "aa2d9077-3f34-4842-d5c9-cc3bea8ae255"
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   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UPJONG_CD</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th>CLASS2</th>\n",
       "      <th>CLASS3</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SS001</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>한식</td>\n",
       "      <td>한식</td>\n",
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       "      <th>1</th>\n",
       "      <td>SS002</td>\n",
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       "      <td>일식/중식/양식</td>\n",
       "      <td>일식</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SS003</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SS005</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>제과/커피/패스트푸드</td>\n",
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      "text/plain": [
       "  UPJONG_CD CLASS1       CLASS2 CLASS3\n",
       "0     SS001  요식/유흥           한식     한식\n",
       "1     SS002  요식/유흥     일식/중식/양식     일식\n",
       "2     SS003  요식/유흥     일식/중식/양식     양식\n",
       "3     SS004  요식/유흥     일식/중식/양식     중식\n",
       "4     SS005  요식/유흥  제과/커피/패스트푸드    제과점"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sectorCodeDf=pd.read_csv(os.path.join(path, '서울시민 카드소비 업종코드.csv'), encoding='utf-8')\n",
    "sectorCodeDf['UPJONG_CD'] = sectorCodeDf['UPJONG_CD'].str.upper()\n",
    "sectorCodeDf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 257
    },
    "id": "bgeEA6hurT9M",
    "outputId": "1371fa07-f115-4cd2-875a-fd6a3aee5942",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10683783 entries, 0 to 10683782\n",
      "Data columns (total 10 columns):\n",
      "UPJONG_CD    object\n",
      "기준년월         int64\n",
      "고객주소블록코드     int64\n",
      "성별           object\n",
      "연령대별         object\n",
      "카드이용금액계      int64\n",
      "카드이용건수계      int64\n",
      "CLASS1       object\n",
      "CLASS2       object\n",
      "CLASS3       object\n",
      "dtypes: int64(4), object(6)\n",
      "memory usage: 896.6+ MB\n"
     ]
    }
   ],
   "source": [
    "UPJONG_Df=pd.merge(UPJONG_Df, sectorCodeDf, how='left', on='UPJONG_CD')\n",
    "UPJONG_Df.head()\n",
    "UPJONG_Df.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
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       "      <td>30대</td>\n",
       "      <td>506520</td>\n",
       "      <td>10</td>\n",
       "      <td>요식/유흥</td>\n",
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       "      <th>2</th>\n",
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       "      <td>50</td>\n",
       "      <td>요식/유흥</td>\n",
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       "      <th>3</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>227572</td>\n",
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       "      <td>20대</td>\n",
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       "      <td>207</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>207901</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>3469435</td>\n",
       "      <td>474</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SS035</td>\n",
       "      <td>201901</td>\n",
       "      <td>224894</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>1438920</td>\n",
       "      <td>10</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>숙박</td>\n",
       "      <td>호텔/콘도</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>8418</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>253966</td>\n",
       "      <td>66</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>216557</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>655200</td>\n",
       "      <td>20</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SS004</td>\n",
       "      <td>201901</td>\n",
       "      <td>352794</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>1000440</td>\n",
       "      <td>15</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>일식/중식/양식</td>\n",
       "      <td>중식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SS004</td>\n",
       "      <td>201901</td>\n",
       "      <td>232382</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>379512</td>\n",
       "      <td>20</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>일식/중식/양식</td>\n",
       "      <td>중식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SS006</td>\n",
       "      <td>201901</td>\n",
       "      <td>355154</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>287784</td>\n",
       "      <td>40</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>제과/커피/패스트푸드</td>\n",
       "      <td>커피전문점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SS066</td>\n",
       "      <td>201901</td>\n",
       "      <td>24159</td>\n",
       "      <td>F</td>\n",
       "      <td>50대</td>\n",
       "      <td>705600</td>\n",
       "      <td>15</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유소</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>18377</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>3234773</td>\n",
       "      <td>353</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>269765</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>2225664</td>\n",
       "      <td>242</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SS033</td>\n",
       "      <td>201901</td>\n",
       "      <td>414790</td>\n",
       "      <td>F</td>\n",
       "      <td>60대</td>\n",
       "      <td>190512</td>\n",
       "      <td>5</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>스포츠/문화/레저용품</td>\n",
       "      <td>문화용품</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>349243</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>6541920</td>\n",
       "      <td>267</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>한식</td>\n",
       "      <td>한식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>355307</td>\n",
       "      <td>F</td>\n",
       "      <td>50대</td>\n",
       "      <td>294840</td>\n",
       "      <td>25</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SS055</td>\n",
       "      <td>201901</td>\n",
       "      <td>157069</td>\n",
       "      <td>F</td>\n",
       "      <td>60대</td>\n",
       "      <td>4158000</td>\n",
       "      <td>25</td>\n",
       "      <td>의료</td>\n",
       "      <td>병원</td>\n",
       "      <td>일반병원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SS055</td>\n",
       "      <td>201901</td>\n",
       "      <td>157735</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>1004976</td>\n",
       "      <td>55</td>\n",
       "      <td>의료</td>\n",
       "      <td>병원</td>\n",
       "      <td>일반병원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SS021</td>\n",
       "      <td>201901</td>\n",
       "      <td>152727</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>5426064</td>\n",
       "      <td>40</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>의복/의류</td>\n",
       "      <td>의복/의류</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>264864</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>773640</td>\n",
       "      <td>116</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>203333</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>1806790</td>\n",
       "      <td>348</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SS082</td>\n",
       "      <td>201901</td>\n",
       "      <td>408249</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>2293200</td>\n",
       "      <td>5</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>헬스</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SS008</td>\n",
       "      <td>201901</td>\n",
       "      <td>212332</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>1630440</td>\n",
       "      <td>121</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>기타요식</td>\n",
       "      <td>기타요식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SS013</td>\n",
       "      <td>201901</td>\n",
       "      <td>333798</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>9816509</td>\n",
       "      <td>408</td>\n",
       "      <td>유통</td>\n",
       "      <td>할인점/슈퍼마켓</td>\n",
       "      <td>할인점/슈퍼마켓</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SS013</td>\n",
       "      <td>201901</td>\n",
       "      <td>13021</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>7940520</td>\n",
       "      <td>474</td>\n",
       "      <td>유통</td>\n",
       "      <td>할인점/슈퍼마켓</td>\n",
       "      <td>할인점/슈퍼마켓</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>218101</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>7794864</td>\n",
       "      <td>146</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>한식</td>\n",
       "      <td>한식</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SS030</td>\n",
       "      <td>201901</td>\n",
       "      <td>267620</td>\n",
       "      <td>M</td>\n",
       "      <td>20대</td>\n",
       "      <td>3882312</td>\n",
       "      <td>796</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>취미/오락</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>230412</td>\n",
       "      <td>M</td>\n",
       "      <td>20대</td>\n",
       "      <td>1974672</td>\n",
       "      <td>176</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>한식</td>\n",
       "      <td>한식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>SS066</td>\n",
       "      <td>201901</td>\n",
       "      <td>151927</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>1360800</td>\n",
       "      <td>40</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유소</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683753</th>\n",
       "      <td>SS001</td>\n",
       "      <td>201901</td>\n",
       "      <td>213</td>\n",
       "      <td>M</td>\n",
       "      <td>10대</td>\n",
       "      <td>56952</td>\n",
       "      <td>5</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>한식</td>\n",
       "      <td>한식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683754</th>\n",
       "      <td>SS043</td>\n",
       "      <td>201901</td>\n",
       "      <td>231733</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>50400</td>\n",
       "      <td>5</td>\n",
       "      <td>미용</td>\n",
       "      <td>화장품</td>\n",
       "      <td>화장품</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683755</th>\n",
       "      <td>SS067</td>\n",
       "      <td>201901</td>\n",
       "      <td>11505</td>\n",
       "      <td>M</td>\n",
       "      <td>20대</td>\n",
       "      <td>243760</td>\n",
       "      <td>5</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유</td>\n",
       "      <td>LPG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683756</th>\n",
       "      <td>SS064</td>\n",
       "      <td>201901</td>\n",
       "      <td>152828</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>1401120</td>\n",
       "      <td>5</td>\n",
       "      <td>자동차</td>\n",
       "      <td>자동차서비스/용품</td>\n",
       "      <td>자동차서비스</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683757</th>\n",
       "      <td>SS066</td>\n",
       "      <td>201901</td>\n",
       "      <td>214031</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>151200</td>\n",
       "      <td>5</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유소</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683758</th>\n",
       "      <td>SS022</td>\n",
       "      <td>201901</td>\n",
       "      <td>413401</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>104832</td>\n",
       "      <td>5</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>패션/잡화</td>\n",
       "      <td>패션/잡화</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683759</th>\n",
       "      <td>SS043</td>\n",
       "      <td>201901</td>\n",
       "      <td>81274</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>218383</td>\n",
       "      <td>5</td>\n",
       "      <td>미용</td>\n",
       "      <td>화장품</td>\n",
       "      <td>화장품</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683760</th>\n",
       "      <td>SS019</td>\n",
       "      <td>201901</td>\n",
       "      <td>412882</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>96768</td>\n",
       "      <td>5</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>농수산물</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683761</th>\n",
       "      <td>SS003</td>\n",
       "      <td>201901</td>\n",
       "      <td>148718</td>\n",
       "      <td>F</td>\n",
       "      <td>50대</td>\n",
       "      <td>128520</td>\n",
       "      <td>5</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>일식/중식/양식</td>\n",
       "      <td>양식</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683762</th>\n",
       "      <td>SS044</td>\n",
       "      <td>201901</td>\n",
       "      <td>19148</td>\n",
       "      <td>F</td>\n",
       "      <td>50대</td>\n",
       "      <td>196560</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>서비스</td>\n",
       "      <td>생활서비스</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683763</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>361949</td>\n",
       "      <td>F</td>\n",
       "      <td>50대</td>\n",
       "      <td>30240</td>\n",
       "      <td>5</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683764</th>\n",
       "      <td>SS032</td>\n",
       "      <td>201901</td>\n",
       "      <td>217468</td>\n",
       "      <td>F</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>957600</td>\n",
       "      <td>5</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>스포츠/문화/레저용품</td>\n",
       "      <td>스포츠/레저용품</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683765</th>\n",
       "      <td>SS036</td>\n",
       "      <td>201901</td>\n",
       "      <td>229994</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>100800</td>\n",
       "      <td>5</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>숙박</td>\n",
       "      <td>모텔/여관/기타숙박</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683766</th>\n",
       "      <td>SS007</td>\n",
       "      <td>201901</td>\n",
       "      <td>12986</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>93240</td>\n",
       "      <td>5</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>제과/커피/패스트푸드</td>\n",
       "      <td>패스트푸드</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683767</th>\n",
       "      <td>SS066</td>\n",
       "      <td>201901</td>\n",
       "      <td>216084</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>236880</td>\n",
       "      <td>5</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유</td>\n",
       "      <td>주유소</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683768</th>\n",
       "      <td>SS070</td>\n",
       "      <td>201901</td>\n",
       "      <td>232729</td>\n",
       "      <td>F</td>\n",
       "      <td>60대</td>\n",
       "      <td>796320</td>\n",
       "      <td>5</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>홈쇼핑</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683769</th>\n",
       "      <td>SS015</td>\n",
       "      <td>201901</td>\n",
       "      <td>153442</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>26712</td>\n",
       "      <td>5</td>\n",
       "      <td>유통</td>\n",
       "      <td>할인점/슈퍼마켓</td>\n",
       "      <td>생활잡화</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683770</th>\n",
       "      <td>SS019</td>\n",
       "      <td>201901</td>\n",
       "      <td>12889</td>\n",
       "      <td>M</td>\n",
       "      <td>20대</td>\n",
       "      <td>30240</td>\n",
       "      <td>5</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>농수산물</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683771</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>501807</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>273168</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683772</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>18301</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>64512</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683773</th>\n",
       "      <td>SS016</td>\n",
       "      <td>201901</td>\n",
       "      <td>223491</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>4788</td>\n",
       "      <td>5</td>\n",
       "      <td>유통</td>\n",
       "      <td>편의점</td>\n",
       "      <td>편의점</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683774</th>\n",
       "      <td>SS041</td>\n",
       "      <td>201901</td>\n",
       "      <td>12707</td>\n",
       "      <td>F</td>\n",
       "      <td>60대</td>\n",
       "      <td>176400</td>\n",
       "      <td>5</td>\n",
       "      <td>미용</td>\n",
       "      <td>미용서비스</td>\n",
       "      <td>미용실</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683775</th>\n",
       "      <td>SS047</td>\n",
       "      <td>201901</td>\n",
       "      <td>209386</td>\n",
       "      <td>M</td>\n",
       "      <td>30대</td>\n",
       "      <td>120456</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>인테리어</td>\n",
       "      <td>인테리어</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683776</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>216707</td>\n",
       "      <td>F</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>225288</td>\n",
       "      <td>10</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683777</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>418337</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>464940</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683778</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>18004</td>\n",
       "      <td>M</td>\n",
       "      <td>40대</td>\n",
       "      <td>194544</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683779</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>15875</td>\n",
       "      <td>F</td>\n",
       "      <td>40대</td>\n",
       "      <td>210067</td>\n",
       "      <td>10</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683780</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>212968</td>\n",
       "      <td>F</td>\n",
       "      <td>60대</td>\n",
       "      <td>213444</td>\n",
       "      <td>5</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683781</th>\n",
       "      <td>SS042</td>\n",
       "      <td>201901</td>\n",
       "      <td>364284</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>136080</td>\n",
       "      <td>5</td>\n",
       "      <td>미용</td>\n",
       "      <td>미용서비스</td>\n",
       "      <td>미용서비스</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10683782</th>\n",
       "      <td>SS049</td>\n",
       "      <td>201901</td>\n",
       "      <td>361500</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>270850</td>\n",
       "      <td>10</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>각종요금</td>\n",
       "      <td>보험</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10683783 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         UPJONG_CD    기준년월  고객주소블록코드 성별   연령대별  카드이용금액계  카드이용건수계     CLASS1  \\\n",
       "0            SS001  201901    158138  M    60대  1582560       30      요식/유흥   \n",
       "1            SS002  201901    344052  F    30대   506520       10      요식/유흥   \n",
       "2            SS002  201901    417018  M    30대   987840       50      요식/유흥   \n",
       "3            SS008  201901    227572  F    20대  2074968      207      요식/유흥   \n",
       "4            SS016  201901    207901  F    30대  3469435      474         유통   \n",
       "5            SS035  201901    224894  F    20대  1438920       10      여행/교통   \n",
       "6            SS016  201901      8418  M  70대이상   253966       66         유통   \n",
       "7            SS008  201901    216557  M    50대   655200       20      요식/유흥   \n",
       "8            SS004  201901    352794  M    50대  1000440       15      요식/유흥   \n",
       "9            SS004  201901    232382  M    40대   379512       20      요식/유흥   \n",
       "10           SS006  201901    355154  F    30대   287784       40      요식/유흥   \n",
       "11           SS066  201901     24159  F    50대   705600       15         주유   \n",
       "12           SS008  201901     18377  M    30대  3234773      353      요식/유흥   \n",
       "13           SS008  201901    269765  F    40대  2225664      242      요식/유흥   \n",
       "14           SS033  201901    414790  F    60대   190512        5  스포츠/문화/레저   \n",
       "15           SS001  201901    349243  M    40대  6541920      267      요식/유흥   \n",
       "16           SS008  201901    355307  F    50대   294840       25      요식/유흥   \n",
       "17           SS055  201901    157069  F    60대  4158000       25         의료   \n",
       "18           SS055  201901    157735  F    40대  1004976       55         의료   \n",
       "19           SS021  201901    152727  F    30대  5426064       40      의류/잡화   \n",
       "20           SS016  201901    264864  M    60대   773640      116         유통   \n",
       "21           SS016  201901    203333  F    20대  1806790      348         유통   \n",
       "22           SS082  201901    408249  F    40대  2293200        5  스포츠/문화/레저   \n",
       "23           SS008  201901    212332  F    20대  1630440      121      요식/유흥   \n",
       "24           SS013  201901    333798  F    40대  9816509      408         유통   \n",
       "25           SS013  201901     13021  M    50대  7940520      474         유통   \n",
       "26           SS001  201901    218101  M    50대  7794864      146      요식/유흥   \n",
       "27           SS030  201901    267620  M    20대  3882312      796  스포츠/문화/레저   \n",
       "28           SS001  201901    230412  M    20대  1974672      176      요식/유흥   \n",
       "29           SS066  201901    151927  M    30대  1360800       40         주유   \n",
       "...            ...     ...       ... ..    ...      ...      ...        ...   \n",
       "10683753     SS001  201901       213  M    10대    56952        5      요식/유흥   \n",
       "10683754     SS043  201901    231733  F    20대    50400        5         미용   \n",
       "10683755     SS067  201901     11505  M    20대   243760        5         주유   \n",
       "10683756     SS064  201901    152828  M    40대  1401120        5        자동차   \n",
       "10683757     SS066  201901    214031  M    50대   151200        5         주유   \n",
       "10683758     SS022  201901    413401  F    20대   104832        5      의류/잡화   \n",
       "10683759     SS043  201901     81274  F    30대   218383        5         미용   \n",
       "10683760     SS019  201901    412882  M    40대    96768        5      음/식료품   \n",
       "10683761     SS003  201901    148718  F    50대   128520        5      요식/유흥   \n",
       "10683762     SS044  201901     19148  F    50대   196560        5   가정생활/서비스   \n",
       "10683763     SS016  201901    361949  F    50대    30240        5         유통   \n",
       "10683764     SS032  201901    217468  F  70대이상   957600        5  스포츠/문화/레저   \n",
       "10683765     SS036  201901    229994  F    20대   100800        5      여행/교통   \n",
       "10683766     SS007  201901     12986  M    40대    93240        5      요식/유흥   \n",
       "10683767     SS066  201901    216084  M    60대   236880        5         주유   \n",
       "10683768     SS070  201901    232729  F    60대   796320        5      전자상거래   \n",
       "10683769     SS015  201901    153442  F    30대    26712        5         유통   \n",
       "10683770     SS019  201901     12889  M    20대    30240        5      음/식료품   \n",
       "10683771     SS049  201901    501807  F    40대   273168        5   가정생활/서비스   \n",
       "10683772     SS049  201901     18301  M    30대    64512        5   가정생활/서비스   \n",
       "10683773     SS016  201901    223491  M  70대이상     4788        5         유통   \n",
       "10683774     SS041  201901     12707  F    60대   176400        5         미용   \n",
       "10683775     SS047  201901    209386  M    30대   120456        5   가정생활/서비스   \n",
       "10683776     SS049  201901    216707  F  70대이상   225288       10   가정생활/서비스   \n",
       "10683777     SS049  201901    418337  M  70대이상   464940        5   가정생활/서비스   \n",
       "10683778     SS049  201901     18004  M    40대   194544        5   가정생활/서비스   \n",
       "10683779     SS049  201901     15875  F    40대   210067       10   가정생활/서비스   \n",
       "10683780     SS049  201901    212968  F    60대   213444        5   가정생활/서비스   \n",
       "10683781     SS042  201901    364284  F    20대   136080        5         미용   \n",
       "10683782     SS049  201901    361500  M    60대   270850       10   가정생활/서비스   \n",
       "\n",
       "               CLASS2      CLASS3  \n",
       "0                  한식          한식  \n",
       "1            일식/중식/양식          일식  \n",
       "2            일식/중식/양식          일식  \n",
       "3                기타요식        기타요식  \n",
       "4                 편의점         편의점  \n",
       "5                  숙박       호텔/콘도  \n",
       "6                 편의점         편의점  \n",
       "7                기타요식        기타요식  \n",
       "8            일식/중식/양식          중식  \n",
       "9            일식/중식/양식          중식  \n",
       "10        제과/커피/패스트푸드       커피전문점  \n",
       "11                 주유         주유소  \n",
       "12               기타요식        기타요식  \n",
       "13               기타요식        기타요식  \n",
       "14        스포츠/문화/레저용품        문화용품  \n",
       "15                 한식          한식  \n",
       "16               기타요식        기타요식  \n",
       "17                 병원        일반병원  \n",
       "18                 병원        일반병원  \n",
       "19              의복/의류       의복/의류  \n",
       "20                편의점         편의점  \n",
       "21                편의점         편의점  \n",
       "22          스포츠/문화/레저          헬스  \n",
       "23               기타요식        기타요식  \n",
       "24           할인점/슈퍼마켓    할인점/슈퍼마켓  \n",
       "25           할인점/슈퍼마켓    할인점/슈퍼마켓  \n",
       "26                 한식          한식  \n",
       "27          스포츠/문화/레저       취미/오락  \n",
       "28                 한식          한식  \n",
       "29                 주유         주유소  \n",
       "...               ...         ...  \n",
       "10683753           한식          한식  \n",
       "10683754          화장품         화장품  \n",
       "10683755           주유         LPG  \n",
       "10683756    자동차서비스/용품      자동차서비스  \n",
       "10683757           주유         주유소  \n",
       "10683758        패션/잡화       패션/잡화  \n",
       "10683759          화장품         화장품  \n",
       "10683760        음/식료품        농수산물  \n",
       "10683761     일식/중식/양식          양식  \n",
       "10683762          서비스       생활서비스  \n",
       "10683763          편의점         편의점  \n",
       "10683764  스포츠/문화/레저용품    스포츠/레저용품  \n",
       "10683765           숙박  모텔/여관/기타숙박  \n",
       "10683766  제과/커피/패스트푸드       패스트푸드  \n",
       "10683767           주유         주유소  \n",
       "10683768        전자상거래         홈쇼핑  \n",
       "10683769     할인점/슈퍼마켓        생활잡화  \n",
       "10683770        음/식료품        농수산물  \n",
       "10683771         각종요금          보험  \n",
       "10683772         각종요금          보험  \n",
       "10683773          편의점         편의점  \n",
       "10683774        미용서비스         미용실  \n",
       "10683775         인테리어        인테리어  \n",
       "10683776         각종요금          보험  \n",
       "10683777         각종요금          보험  \n",
       "10683778         각종요금          보험  \n",
       "10683779         각종요금          보험  \n",
       "10683780         각종요금          보험  \n",
       "10683781        미용서비스       미용서비스  \n",
       "10683782         각종요금          보험  \n",
       "\n",
       "[10683783 rows x 10 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPJONG_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "blockdata = pd.read_excel(\"E:/동별블록코드축소판.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BLCK_CD,C,6</th>\n",
       "      <th>BLCK_NM,C,30</th>\n",
       "      <th>XCNTS,N,10,0</th>\n",
       "      <th>YCNTS,N,10,0</th>\n",
       "      <th>ADSTRD_CD,C,10</th>\n",
       "      <th>SIGNGU_CD,C,5</th>\n",
       "      <th>LCLAS_CD,C,10</th>\n",
       "      <th>MLSFC_CD,C,10</th>\n",
       "      <th>SCLAS_CD,C,10</th>\n",
       "      <th>RASTSP_AT,C,1</th>\n",
       "      <th>UNVTW_AT,C,1</th>\n",
       "      <th>H_LCLAS_CD,C,10</th>\n",
       "      <th>H_MLSFC_CD,C,10</th>\n",
       "      <th>H_SCLAS_CD,C,10</th>\n",
       "      <th>STDR_YM_CD,C,6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>154307</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321661</td>\n",
       "      <td>544349</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>154281</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321757</td>\n",
       "      <td>544350</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>154316</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321569</td>\n",
       "      <td>544233</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>106319</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321596</td>\n",
       "      <td>544244</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>154330</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321668</td>\n",
       "      <td>544316</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>154322</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321804</td>\n",
       "      <td>543914</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>115197</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321480</td>\n",
       "      <td>544193</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>154019</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321541</td>\n",
       "      <td>544222</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>154339</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321645</td>\n",
       "      <td>544242</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>154022</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321513</td>\n",
       "      <td>544210</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>154289</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321642</td>\n",
       "      <td>544390</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>153841</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321450</td>\n",
       "      <td>544661</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>154264</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321333</td>\n",
       "      <td>544479</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>154256</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321427</td>\n",
       "      <td>544546</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>154265</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321448</td>\n",
       "      <td>544494</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>153848</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321198</td>\n",
       "      <td>544566</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>154255</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321583</td>\n",
       "      <td>544545</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>154259</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321374</td>\n",
       "      <td>544495</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>154031</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321246</td>\n",
       "      <td>544209</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>154042</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321255</td>\n",
       "      <td>544143</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>154272</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321623</td>\n",
       "      <td>544449</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>154296</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321101</td>\n",
       "      <td>544398</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>154299</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321346</td>\n",
       "      <td>544390</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>154325</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321123</td>\n",
       "      <td>544340</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>153987</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321133</td>\n",
       "      <td>544313</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>154271</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321233</td>\n",
       "      <td>544479</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>154284</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321549</td>\n",
       "      <td>544419</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>154306</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321028</td>\n",
       "      <td>544372</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>154310</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321364</td>\n",
       "      <td>544349</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>154288</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321336</td>\n",
       "      <td>544417</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68186</th>\n",
       "      <td>22862</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308050</td>\n",
       "      <td>545740</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68187</th>\n",
       "      <td>23072</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308431</td>\n",
       "      <td>545564</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68188</th>\n",
       "      <td>23074</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308294</td>\n",
       "      <td>545418</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>5.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>50401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68189</th>\n",
       "      <td>23113</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308546</td>\n",
       "      <td>545423</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68190</th>\n",
       "      <td>23077</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307960</td>\n",
       "      <td>545508</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68191</th>\n",
       "      <td>22891</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308054</td>\n",
       "      <td>545861</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68192</th>\n",
       "      <td>331198</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307981</td>\n",
       "      <td>545629</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68193</th>\n",
       "      <td>418208</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308416</td>\n",
       "      <td>545410</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68194</th>\n",
       "      <td>23066</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307856</td>\n",
       "      <td>545562</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68195</th>\n",
       "      <td>23063</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308307</td>\n",
       "      <td>545594</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68196</th>\n",
       "      <td>331424</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308138</td>\n",
       "      <td>545619</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68197</th>\n",
       "      <td>418196</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308355</td>\n",
       "      <td>545332</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68198</th>\n",
       "      <td>22996</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308186</td>\n",
       "      <td>545481</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68199</th>\n",
       "      <td>283444</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308190</td>\n",
       "      <td>545539</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68200</th>\n",
       "      <td>418263</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308438</td>\n",
       "      <td>545448</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68201</th>\n",
       "      <td>418254</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308138</td>\n",
       "      <td>545200</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68202</th>\n",
       "      <td>23126</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307914</td>\n",
       "      <td>545367</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68203</th>\n",
       "      <td>112</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308493</td>\n",
       "      <td>545453</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68204</th>\n",
       "      <td>283439</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308263</td>\n",
       "      <td>545568</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68205</th>\n",
       "      <td>23079</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308117</td>\n",
       "      <td>545528</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68206</th>\n",
       "      <td>331120</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308335</td>\n",
       "      <td>545639</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68207</th>\n",
       "      <td>23108</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308441</td>\n",
       "      <td>545381</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68208</th>\n",
       "      <td>23064</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308158</td>\n",
       "      <td>545555</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68209</th>\n",
       "      <td>23086</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308439</td>\n",
       "      <td>545514</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68210</th>\n",
       "      <td>418190</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308387</td>\n",
       "      <td>545409</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68211</th>\n",
       "      <td>23119</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307959</td>\n",
       "      <td>545394</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68212</th>\n",
       "      <td>331359</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308046</td>\n",
       "      <td>545599</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68213</th>\n",
       "      <td>418223</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307949</td>\n",
       "      <td>545197</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>5.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>50401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68214</th>\n",
       "      <td>23060</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307790</td>\n",
       "      <td>545559</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68215</th>\n",
       "      <td>23116</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308498</td>\n",
       "      <td>545386</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68216 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       BLCK_CD,C,6 BLCK_NM,C,30  XCNTS,N,10,0  YCNTS,N,10,0  ADSTRD_CD,C,10  \\\n",
       "0           154307          가락동        321661        544349        11710631   \n",
       "1           154281          가락동        321757        544350        11710631   \n",
       "2           154316          가락동        321569        544233        11710631   \n",
       "3           106319          가락동        321596        544244        11710631   \n",
       "4           154330          가락동        321668        544316        11710631   \n",
       "5           154322          가락동        321804        543914        11710631   \n",
       "6           115197          가락동        321480        544193        11710631   \n",
       "7           154019          가락동        321541        544222        11710631   \n",
       "8           154339          가락동        321645        544242        11710631   \n",
       "9           154022          가락동        321513        544210        11710631   \n",
       "10          154289          가락동        321642        544390        11710631   \n",
       "11          153841          가락동        321450        544661        11710631   \n",
       "12          154264          가락동        321333        544479        11710631   \n",
       "13          154256          가락동        321427        544546        11710631   \n",
       "14          154265          가락동        321448        544494        11710631   \n",
       "15          153848          가락동        321198        544566        11710631   \n",
       "16          154255          가락동        321583        544545        11710631   \n",
       "17          154259          가락동        321374        544495        11710631   \n",
       "18          154031          가락동        321246        544209        11710631   \n",
       "19          154042          가락동        321255        544143        11710631   \n",
       "20          154272          가락동        321623        544449        11710631   \n",
       "21          154296          가락동        321101        544398        11710631   \n",
       "22          154299          가락동        321346        544390        11710631   \n",
       "23          154325          가락동        321123        544340        11710631   \n",
       "24          153987          가락동        321133        544313        11710631   \n",
       "25          154271          가락동        321233        544479        11710631   \n",
       "26          154284          가락동        321549        544419        11710631   \n",
       "27          154306          가락동        321028        544372        11710631   \n",
       "28          154310          가락동        321364        544349        11710631   \n",
       "29          154288          가락동        321336        544417        11710631   \n",
       "...            ...          ...           ...           ...             ...   \n",
       "68186        22862          흑석동        308050        545740        11590605   \n",
       "68187        23072          흑석동        308431        545564        11590605   \n",
       "68188        23074          흑석동        308294        545418        11590605   \n",
       "68189        23113          흑석동        308546        545423        11590605   \n",
       "68190        23077          흑석동        307960        545508        11590605   \n",
       "68191        22891          흑석동        308054        545861        11590605   \n",
       "68192       331198          흑석동        307981        545629        11590605   \n",
       "68193       418208          흑석동        308416        545410        11590605   \n",
       "68194        23066          흑석동        307856        545562        11590605   \n",
       "68195        23063          흑석동        308307        545594        11590605   \n",
       "68196       331424          흑석동        308138        545619        11590605   \n",
       "68197       418196          흑석동        308355        545332        11590605   \n",
       "68198        22996          흑석동        308186        545481        11590605   \n",
       "68199       283444          흑석동        308190        545539        11590605   \n",
       "68200       418263          흑석동        308438        545448        11590605   \n",
       "68201       418254          흑석동        308138        545200        11590605   \n",
       "68202        23126          흑석동        307914        545367        11590605   \n",
       "68203          112          흑석동        308493        545453        11590605   \n",
       "68204       283439          흑석동        308263        545568        11590605   \n",
       "68205        23079          흑석동        308117        545528        11590605   \n",
       "68206       331120          흑석동        308335        545639        11590605   \n",
       "68207        23108          흑석동        308441        545381        11590605   \n",
       "68208        23064          흑석동        308158        545555        11590605   \n",
       "68209        23086          흑석동        308439        545514        11590605   \n",
       "68210       418190          흑석동        308387        545409        11590605   \n",
       "68211        23119          흑석동        307959        545394        11590605   \n",
       "68212       331359          흑석동        308046        545599        11590605   \n",
       "68213       418223          흑석동        307949        545197        11590605   \n",
       "68214        23060          흑석동        307790        545559        11590605   \n",
       "68215        23116          흑석동        308498        545386        11590605   \n",
       "\n",
       "       SIGNGU_CD,C,5  LCLAS_CD,C,10  MLSFC_CD,C,10  SCLAS_CD,C,10  \\\n",
       "0              11710            4.0          401.0        40101.0   \n",
       "1              11710            4.0          401.0        40101.0   \n",
       "2              11710            4.0          401.0        40101.0   \n",
       "3              11710            4.0          401.0        40101.0   \n",
       "4              11710            4.0          401.0        40101.0   \n",
       "5              11710            2.0          202.0        20201.0   \n",
       "6              11710            4.0          401.0        40101.0   \n",
       "7              11710            4.0          401.0        40101.0   \n",
       "8              11710            4.0          401.0        40101.0   \n",
       "9              11710            4.0          401.0        40101.0   \n",
       "10             11710            4.0          401.0        40101.0   \n",
       "11             11710            4.0          401.0        40101.0   \n",
       "12             11710            4.0          401.0        40101.0   \n",
       "13             11710            4.0          401.0        40101.0   \n",
       "14             11710            4.0          401.0        40101.0   \n",
       "15             11710            4.0          401.0        40101.0   \n",
       "16             11710            4.0          401.0        40101.0   \n",
       "17             11710            4.0          401.0        40101.0   \n",
       "18             11710            4.0          401.0        40101.0   \n",
       "19             11710            4.0          401.0        40101.0   \n",
       "20             11710            4.0          401.0        40101.0   \n",
       "21             11710            4.0          401.0        40101.0   \n",
       "22             11710            4.0          401.0        40101.0   \n",
       "23             11710            4.0          401.0        40101.0   \n",
       "24             11710            4.0          401.0        40101.0   \n",
       "25             11710            4.0          401.0        40101.0   \n",
       "26             11710            4.0          401.0        40101.0   \n",
       "27             11710            4.0          401.0        40101.0   \n",
       "28             11710            4.0          401.0        40101.0   \n",
       "29             11710            4.0          401.0        40101.0   \n",
       "...              ...            ...            ...            ...   \n",
       "68186          11590            4.0          404.0        40401.0   \n",
       "68187          11590            2.0          202.0        20201.0   \n",
       "68188          11590            5.0          504.0        50401.0   \n",
       "68189          11590            4.0          404.0        40401.0   \n",
       "68190          11590            4.0          402.0        40201.0   \n",
       "68191          11590            2.0          202.0        20201.0   \n",
       "68192          11590            4.0          402.0        40201.0   \n",
       "68193          11590            2.0          202.0        20201.0   \n",
       "68194          11590            4.0          403.0        40301.0   \n",
       "68195          11590            2.0          202.0        20201.0   \n",
       "68196          11590            4.0          403.0        40301.0   \n",
       "68197          11590            2.0          203.0        20302.0   \n",
       "68198          11590            2.0          202.0        20201.0   \n",
       "68199          11590            2.0          202.0        20201.0   \n",
       "68200          11590            4.0          401.0        40101.0   \n",
       "68201          11590            4.0          404.0        40401.0   \n",
       "68202          11590            4.0          404.0        40401.0   \n",
       "68203          11590            2.0          203.0        20302.0   \n",
       "68204          11590            2.0          202.0        20201.0   \n",
       "68205          11590            2.0          203.0        20301.0   \n",
       "68206          11590            2.0          202.0        20201.0   \n",
       "68207          11590            2.0          202.0        20201.0   \n",
       "68208          11590            4.0          404.0        40401.0   \n",
       "68209          11590            4.0          401.0        40101.0   \n",
       "68210          11590            2.0          203.0        20302.0   \n",
       "68211          11590            4.0          404.0        40401.0   \n",
       "68212          11590            2.0          203.0        20301.0   \n",
       "68213          11590            5.0          504.0        50401.0   \n",
       "68214          11590            2.0          202.0        20201.0   \n",
       "68215          11590            4.0          402.0        40201.0   \n",
       "\n",
       "       RASTSP_AT,C,1  UNVTW_AT,C,1  H_LCLAS_CD,C,10  H_MLSFC_CD,C,10  \\\n",
       "0                0.0           0.0              4.0            402.0   \n",
       "1                0.0           0.0              2.0            201.0   \n",
       "2                0.0           0.0              2.0            204.0   \n",
       "3                0.0           0.0              2.0            204.0   \n",
       "4                0.0           0.0              4.0            402.0   \n",
       "5                0.0           0.0              2.0            201.0   \n",
       "6                0.0           0.0              2.0            204.0   \n",
       "7                0.0           0.0              2.0            204.0   \n",
       "8                0.0           0.0              2.0            204.0   \n",
       "9                0.0           0.0              2.0            204.0   \n",
       "10               0.0           0.0              4.0            402.0   \n",
       "11               0.0           0.0              4.0            402.0   \n",
       "12               0.0           0.0              4.0            402.0   \n",
       "13               0.0           0.0              4.0            402.0   \n",
       "14               0.0           0.0              4.0            402.0   \n",
       "15               0.0           0.0              4.0            403.0   \n",
       "16               0.0           0.0              4.0            402.0   \n",
       "17               0.0           0.0              4.0            402.0   \n",
       "18               0.0           0.0              4.0            402.0   \n",
       "19               0.0           0.0              2.0            201.0   \n",
       "20               0.0           0.0              4.0            402.0   \n",
       "21               0.0           0.0              4.0            403.0   \n",
       "22               0.0           0.0              4.0            402.0   \n",
       "23               0.0           0.0              4.0            403.0   \n",
       "24               0.0           0.0              4.0            403.0   \n",
       "25               0.0           0.0              4.0            403.0   \n",
       "26               0.0           0.0              2.0            201.0   \n",
       "27               0.0           0.0              4.0            401.0   \n",
       "28               0.0           0.0              4.0            402.0   \n",
       "29               0.0           0.0              4.0            402.0   \n",
       "...              ...           ...              ...              ...   \n",
       "68186            0.0           1.0              4.0            402.0   \n",
       "68187            0.0           1.0              4.0            402.0   \n",
       "68188            0.0           1.0              4.0            403.0   \n",
       "68189            0.0           1.0              4.0            403.0   \n",
       "68190            0.0           1.0              4.0            403.0   \n",
       "68191            0.0           1.0              4.0            403.0   \n",
       "68192            0.0           1.0              4.0            403.0   \n",
       "68193            0.0           1.0              4.0            402.0   \n",
       "68194            0.0           1.0              4.0            403.0   \n",
       "68195            0.0           1.0              4.0            402.0   \n",
       "68196            0.0           1.0              4.0            402.0   \n",
       "68197            0.0           1.0              4.0            403.0   \n",
       "68198            0.0           1.0              4.0            402.0   \n",
       "68199            0.0           1.0              4.0            402.0   \n",
       "68200            0.0           1.0              4.0            402.0   \n",
       "68201            0.0           1.0              4.0            403.0   \n",
       "68202            0.0           1.0              4.0            403.0   \n",
       "68203            0.0           1.0              4.0            402.0   \n",
       "68204            0.0           1.0              4.0            402.0   \n",
       "68205            0.0           1.0              4.0            402.0   \n",
       "68206            0.0           1.0              4.0            402.0   \n",
       "68207            0.0           1.0              4.0            403.0   \n",
       "68208            0.0           1.0              4.0            402.0   \n",
       "68209            0.0           1.0              4.0            402.0   \n",
       "68210            0.0           1.0              4.0            402.0   \n",
       "68211            0.0           1.0              4.0            403.0   \n",
       "68212            0.0           1.0              4.0            403.0   \n",
       "68213            0.0           1.0              4.0            401.0   \n",
       "68214            0.0           1.0              4.0            401.0   \n",
       "68215            0.0           1.0              4.0            403.0   \n",
       "\n",
       "       H_SCLAS_CD,C,10  STDR_YM_CD,C,6  \n",
       "0              40201.0            2016  \n",
       "1              20101.0            2016  \n",
       "2              20401.0            2016  \n",
       "3              20401.0            2016  \n",
       "4              40201.0            2016  \n",
       "5              20101.0            2016  \n",
       "6              20401.0            2016  \n",
       "7              20401.0            2016  \n",
       "8              20401.0            2016  \n",
       "9              20401.0            2016  \n",
       "10             40201.0            2016  \n",
       "11             40201.0            2016  \n",
       "12             40201.0            2016  \n",
       "13             40201.0            2016  \n",
       "14             40201.0            2016  \n",
       "15             40301.0            2016  \n",
       "16             40201.0            2016  \n",
       "17             40201.0            2016  \n",
       "18             40201.0            2016  \n",
       "19             20101.0            2016  \n",
       "20             40201.0            2016  \n",
       "21             40301.0            2016  \n",
       "22             40201.0            2016  \n",
       "23             40301.0            2016  \n",
       "24             40301.0            2016  \n",
       "25             40301.0            2016  \n",
       "26             20101.0            2016  \n",
       "27             40101.0            2016  \n",
       "28             40201.0            2016  \n",
       "29             40201.0            2016  \n",
       "...                ...             ...  \n",
       "68186          40201.0            2016  \n",
       "68187          40201.0            2016  \n",
       "68188          40301.0            2016  \n",
       "68189          40301.0            2016  \n",
       "68190          40301.0            2016  \n",
       "68191          40301.0            2016  \n",
       "68192          40301.0            2016  \n",
       "68193          40201.0            2016  \n",
       "68194          40301.0            2016  \n",
       "68195          40201.0            2016  \n",
       "68196          40201.0            2016  \n",
       "68197          40301.0            2016  \n",
       "68198          40201.0            2016  \n",
       "68199          40201.0            2016  \n",
       "68200          40201.0            2016  \n",
       "68201          40301.0            2016  \n",
       "68202          40301.0            2016  \n",
       "68203          40201.0            2016  \n",
       "68204          40201.0            2016  \n",
       "68205          40201.0            2016  \n",
       "68206          40201.0            2016  \n",
       "68207          40301.0            2016  \n",
       "68208          40201.0            2016  \n",
       "68209          40201.0            2016  \n",
       "68210          40201.0            2016  \n",
       "68211          40301.0            2016  \n",
       "68212          40301.0            2016  \n",
       "68213          40101.0            2016  \n",
       "68214          40101.0            2016  \n",
       "68215          40301.0            2016  \n",
       "\n",
       "[68216 rows x 15 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blockdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>고객주소블록코드</th>\n",
       "      <th>고객거주주소</th>\n",
       "      <th>XCNTS,N,10,0</th>\n",
       "      <th>YCNTS,N,10,0</th>\n",
       "      <th>ADSTRD_CD,C,10</th>\n",
       "      <th>SIGNGU_CD,C,5</th>\n",
       "      <th>LCLAS_CD,C,10</th>\n",
       "      <th>MLSFC_CD,C,10</th>\n",
       "      <th>SCLAS_CD,C,10</th>\n",
       "      <th>RASTSP_AT,C,1</th>\n",
       "      <th>UNVTW_AT,C,1</th>\n",
       "      <th>H_LCLAS_CD,C,10</th>\n",
       "      <th>H_MLSFC_CD,C,10</th>\n",
       "      <th>H_SCLAS_CD,C,10</th>\n",
       "      <th>STDR_YM_CD,C,6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>154307</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321661</td>\n",
       "      <td>544349</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>154281</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321757</td>\n",
       "      <td>544350</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>154316</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321569</td>\n",
       "      <td>544233</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>106319</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321596</td>\n",
       "      <td>544244</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>154330</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321668</td>\n",
       "      <td>544316</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>154322</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321804</td>\n",
       "      <td>543914</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>115197</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321480</td>\n",
       "      <td>544193</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>154019</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321541</td>\n",
       "      <td>544222</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>154339</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321645</td>\n",
       "      <td>544242</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>154022</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321513</td>\n",
       "      <td>544210</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>20401.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>154289</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321642</td>\n",
       "      <td>544390</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>153841</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321450</td>\n",
       "      <td>544661</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>154264</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321333</td>\n",
       "      <td>544479</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>154256</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321427</td>\n",
       "      <td>544546</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>154265</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321448</td>\n",
       "      <td>544494</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>153848</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321198</td>\n",
       "      <td>544566</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>154255</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321583</td>\n",
       "      <td>544545</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>154259</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321374</td>\n",
       "      <td>544495</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>154031</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321246</td>\n",
       "      <td>544209</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>154042</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321255</td>\n",
       "      <td>544143</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>154272</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321623</td>\n",
       "      <td>544449</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>154296</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321101</td>\n",
       "      <td>544398</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>154299</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321346</td>\n",
       "      <td>544390</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>154325</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321123</td>\n",
       "      <td>544340</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>153987</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321133</td>\n",
       "      <td>544313</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>154271</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321233</td>\n",
       "      <td>544479</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>154284</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321549</td>\n",
       "      <td>544419</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>20101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>154306</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321028</td>\n",
       "      <td>544372</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>154310</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321364</td>\n",
       "      <td>544349</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>154288</td>\n",
       "      <td>가락동</td>\n",
       "      <td>321336</td>\n",
       "      <td>544417</td>\n",
       "      <td>11710631</td>\n",
       "      <td>11710</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68186</th>\n",
       "      <td>22862</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308050</td>\n",
       "      <td>545740</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68187</th>\n",
       "      <td>23072</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308431</td>\n",
       "      <td>545564</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68188</th>\n",
       "      <td>23074</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308294</td>\n",
       "      <td>545418</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>5.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>50401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68189</th>\n",
       "      <td>23113</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308546</td>\n",
       "      <td>545423</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68190</th>\n",
       "      <td>23077</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307960</td>\n",
       "      <td>545508</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68191</th>\n",
       "      <td>22891</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308054</td>\n",
       "      <td>545861</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68192</th>\n",
       "      <td>331198</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307981</td>\n",
       "      <td>545629</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68193</th>\n",
       "      <td>418208</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308416</td>\n",
       "      <td>545410</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68194</th>\n",
       "      <td>23066</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307856</td>\n",
       "      <td>545562</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68195</th>\n",
       "      <td>23063</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308307</td>\n",
       "      <td>545594</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68196</th>\n",
       "      <td>331424</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308138</td>\n",
       "      <td>545619</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68197</th>\n",
       "      <td>418196</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308355</td>\n",
       "      <td>545332</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68198</th>\n",
       "      <td>22996</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308186</td>\n",
       "      <td>545481</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68199</th>\n",
       "      <td>283444</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308190</td>\n",
       "      <td>545539</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68200</th>\n",
       "      <td>418263</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308438</td>\n",
       "      <td>545448</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68201</th>\n",
       "      <td>418254</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308138</td>\n",
       "      <td>545200</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68202</th>\n",
       "      <td>23126</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307914</td>\n",
       "      <td>545367</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68203</th>\n",
       "      <td>112</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308493</td>\n",
       "      <td>545453</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68204</th>\n",
       "      <td>283439</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308263</td>\n",
       "      <td>545568</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68205</th>\n",
       "      <td>23079</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308117</td>\n",
       "      <td>545528</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68206</th>\n",
       "      <td>331120</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308335</td>\n",
       "      <td>545639</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68207</th>\n",
       "      <td>23108</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308441</td>\n",
       "      <td>545381</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68208</th>\n",
       "      <td>23064</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308158</td>\n",
       "      <td>545555</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68209</th>\n",
       "      <td>23086</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308439</td>\n",
       "      <td>545514</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68210</th>\n",
       "      <td>418190</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308387</td>\n",
       "      <td>545409</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20302.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68211</th>\n",
       "      <td>23119</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307959</td>\n",
       "      <td>545394</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>40401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68212</th>\n",
       "      <td>331359</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308046</td>\n",
       "      <td>545599</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>20301.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68213</th>\n",
       "      <td>418223</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307949</td>\n",
       "      <td>545197</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>5.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>50401.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68214</th>\n",
       "      <td>23060</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>307790</td>\n",
       "      <td>545559</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>2.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>20201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>40101.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68215</th>\n",
       "      <td>23116</td>\n",
       "      <td>흑석동</td>\n",
       "      <td>308498</td>\n",
       "      <td>545386</td>\n",
       "      <td>11590605</td>\n",
       "      <td>11590</td>\n",
       "      <td>4.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>40201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>40301.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68216 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       고객주소블록코드 고객거주주소  XCNTS,N,10,0  YCNTS,N,10,0  ADSTRD_CD,C,10  \\\n",
       "0        154307    가락동        321661        544349        11710631   \n",
       "1        154281    가락동        321757        544350        11710631   \n",
       "2        154316    가락동        321569        544233        11710631   \n",
       "3        106319    가락동        321596        544244        11710631   \n",
       "4        154330    가락동        321668        544316        11710631   \n",
       "5        154322    가락동        321804        543914        11710631   \n",
       "6        115197    가락동        321480        544193        11710631   \n",
       "7        154019    가락동        321541        544222        11710631   \n",
       "8        154339    가락동        321645        544242        11710631   \n",
       "9        154022    가락동        321513        544210        11710631   \n",
       "10       154289    가락동        321642        544390        11710631   \n",
       "11       153841    가락동        321450        544661        11710631   \n",
       "12       154264    가락동        321333        544479        11710631   \n",
       "13       154256    가락동        321427        544546        11710631   \n",
       "14       154265    가락동        321448        544494        11710631   \n",
       "15       153848    가락동        321198        544566        11710631   \n",
       "16       154255    가락동        321583        544545        11710631   \n",
       "17       154259    가락동        321374        544495        11710631   \n",
       "18       154031    가락동        321246        544209        11710631   \n",
       "19       154042    가락동        321255        544143        11710631   \n",
       "20       154272    가락동        321623        544449        11710631   \n",
       "21       154296    가락동        321101        544398        11710631   \n",
       "22       154299    가락동        321346        544390        11710631   \n",
       "23       154325    가락동        321123        544340        11710631   \n",
       "24       153987    가락동        321133        544313        11710631   \n",
       "25       154271    가락동        321233        544479        11710631   \n",
       "26       154284    가락동        321549        544419        11710631   \n",
       "27       154306    가락동        321028        544372        11710631   \n",
       "28       154310    가락동        321364        544349        11710631   \n",
       "29       154288    가락동        321336        544417        11710631   \n",
       "...         ...    ...           ...           ...             ...   \n",
       "68186     22862    흑석동        308050        545740        11590605   \n",
       "68187     23072    흑석동        308431        545564        11590605   \n",
       "68188     23074    흑석동        308294        545418        11590605   \n",
       "68189     23113    흑석동        308546        545423        11590605   \n",
       "68190     23077    흑석동        307960        545508        11590605   \n",
       "68191     22891    흑석동        308054        545861        11590605   \n",
       "68192    331198    흑석동        307981        545629        11590605   \n",
       "68193    418208    흑석동        308416        545410        11590605   \n",
       "68194     23066    흑석동        307856        545562        11590605   \n",
       "68195     23063    흑석동        308307        545594        11590605   \n",
       "68196    331424    흑석동        308138        545619        11590605   \n",
       "68197    418196    흑석동        308355        545332        11590605   \n",
       "68198     22996    흑석동        308186        545481        11590605   \n",
       "68199    283444    흑석동        308190        545539        11590605   \n",
       "68200    418263    흑석동        308438        545448        11590605   \n",
       "68201    418254    흑석동        308138        545200        11590605   \n",
       "68202     23126    흑석동        307914        545367        11590605   \n",
       "68203       112    흑석동        308493        545453        11590605   \n",
       "68204    283439    흑석동        308263        545568        11590605   \n",
       "68205     23079    흑석동        308117        545528        11590605   \n",
       "68206    331120    흑석동        308335        545639        11590605   \n",
       "68207     23108    흑석동        308441        545381        11590605   \n",
       "68208     23064    흑석동        308158        545555        11590605   \n",
       "68209     23086    흑석동        308439        545514        11590605   \n",
       "68210    418190    흑석동        308387        545409        11590605   \n",
       "68211     23119    흑석동        307959        545394        11590605   \n",
       "68212    331359    흑석동        308046        545599        11590605   \n",
       "68213    418223    흑석동        307949        545197        11590605   \n",
       "68214     23060    흑석동        307790        545559        11590605   \n",
       "68215     23116    흑석동        308498        545386        11590605   \n",
       "\n",
       "       SIGNGU_CD,C,5  LCLAS_CD,C,10  MLSFC_CD,C,10  SCLAS_CD,C,10  \\\n",
       "0              11710            4.0          401.0        40101.0   \n",
       "1              11710            4.0          401.0        40101.0   \n",
       "2              11710            4.0          401.0        40101.0   \n",
       "3              11710            4.0          401.0        40101.0   \n",
       "4              11710            4.0          401.0        40101.0   \n",
       "5              11710            2.0          202.0        20201.0   \n",
       "6              11710            4.0          401.0        40101.0   \n",
       "7              11710            4.0          401.0        40101.0   \n",
       "8              11710            4.0          401.0        40101.0   \n",
       "9              11710            4.0          401.0        40101.0   \n",
       "10             11710            4.0          401.0        40101.0   \n",
       "11             11710            4.0          401.0        40101.0   \n",
       "12             11710            4.0          401.0        40101.0   \n",
       "13             11710            4.0          401.0        40101.0   \n",
       "14             11710            4.0          401.0        40101.0   \n",
       "15             11710            4.0          401.0        40101.0   \n",
       "16             11710            4.0          401.0        40101.0   \n",
       "17             11710            4.0          401.0        40101.0   \n",
       "18             11710            4.0          401.0        40101.0   \n",
       "19             11710            4.0          401.0        40101.0   \n",
       "20             11710            4.0          401.0        40101.0   \n",
       "21             11710            4.0          401.0        40101.0   \n",
       "22             11710            4.0          401.0        40101.0   \n",
       "23             11710            4.0          401.0        40101.0   \n",
       "24             11710            4.0          401.0        40101.0   \n",
       "25             11710            4.0          401.0        40101.0   \n",
       "26             11710            4.0          401.0        40101.0   \n",
       "27             11710            4.0          401.0        40101.0   \n",
       "28             11710            4.0          401.0        40101.0   \n",
       "29             11710            4.0          401.0        40101.0   \n",
       "...              ...            ...            ...            ...   \n",
       "68186          11590            4.0          404.0        40401.0   \n",
       "68187          11590            2.0          202.0        20201.0   \n",
       "68188          11590            5.0          504.0        50401.0   \n",
       "68189          11590            4.0          404.0        40401.0   \n",
       "68190          11590            4.0          402.0        40201.0   \n",
       "68191          11590            2.0          202.0        20201.0   \n",
       "68192          11590            4.0          402.0        40201.0   \n",
       "68193          11590            2.0          202.0        20201.0   \n",
       "68194          11590            4.0          403.0        40301.0   \n",
       "68195          11590            2.0          202.0        20201.0   \n",
       "68196          11590            4.0          403.0        40301.0   \n",
       "68197          11590            2.0          203.0        20302.0   \n",
       "68198          11590            2.0          202.0        20201.0   \n",
       "68199          11590            2.0          202.0        20201.0   \n",
       "68200          11590            4.0          401.0        40101.0   \n",
       "68201          11590            4.0          404.0        40401.0   \n",
       "68202          11590            4.0          404.0        40401.0   \n",
       "68203          11590            2.0          203.0        20302.0   \n",
       "68204          11590            2.0          202.0        20201.0   \n",
       "68205          11590            2.0          203.0        20301.0   \n",
       "68206          11590            2.0          202.0        20201.0   \n",
       "68207          11590            2.0          202.0        20201.0   \n",
       "68208          11590            4.0          404.0        40401.0   \n",
       "68209          11590            4.0          401.0        40101.0   \n",
       "68210          11590            2.0          203.0        20302.0   \n",
       "68211          11590            4.0          404.0        40401.0   \n",
       "68212          11590            2.0          203.0        20301.0   \n",
       "68213          11590            5.0          504.0        50401.0   \n",
       "68214          11590            2.0          202.0        20201.0   \n",
       "68215          11590            4.0          402.0        40201.0   \n",
       "\n",
       "       RASTSP_AT,C,1  UNVTW_AT,C,1  H_LCLAS_CD,C,10  H_MLSFC_CD,C,10  \\\n",
       "0                0.0           0.0              4.0            402.0   \n",
       "1                0.0           0.0              2.0            201.0   \n",
       "2                0.0           0.0              2.0            204.0   \n",
       "3                0.0           0.0              2.0            204.0   \n",
       "4                0.0           0.0              4.0            402.0   \n",
       "5                0.0           0.0              2.0            201.0   \n",
       "6                0.0           0.0              2.0            204.0   \n",
       "7                0.0           0.0              2.0            204.0   \n",
       "8                0.0           0.0              2.0            204.0   \n",
       "9                0.0           0.0              2.0            204.0   \n",
       "10               0.0           0.0              4.0            402.0   \n",
       "11               0.0           0.0              4.0            402.0   \n",
       "12               0.0           0.0              4.0            402.0   \n",
       "13               0.0           0.0              4.0            402.0   \n",
       "14               0.0           0.0              4.0            402.0   \n",
       "15               0.0           0.0              4.0            403.0   \n",
       "16               0.0           0.0              4.0            402.0   \n",
       "17               0.0           0.0              4.0            402.0   \n",
       "18               0.0           0.0              4.0            402.0   \n",
       "19               0.0           0.0              2.0            201.0   \n",
       "20               0.0           0.0              4.0            402.0   \n",
       "21               0.0           0.0              4.0            403.0   \n",
       "22               0.0           0.0              4.0            402.0   \n",
       "23               0.0           0.0              4.0            403.0   \n",
       "24               0.0           0.0              4.0            403.0   \n",
       "25               0.0           0.0              4.0            403.0   \n",
       "26               0.0           0.0              2.0            201.0   \n",
       "27               0.0           0.0              4.0            401.0   \n",
       "28               0.0           0.0              4.0            402.0   \n",
       "29               0.0           0.0              4.0            402.0   \n",
       "...              ...           ...              ...              ...   \n",
       "68186            0.0           1.0              4.0            402.0   \n",
       "68187            0.0           1.0              4.0            402.0   \n",
       "68188            0.0           1.0              4.0            403.0   \n",
       "68189            0.0           1.0              4.0            403.0   \n",
       "68190            0.0           1.0              4.0            403.0   \n",
       "68191            0.0           1.0              4.0            403.0   \n",
       "68192            0.0           1.0              4.0            403.0   \n",
       "68193            0.0           1.0              4.0            402.0   \n",
       "68194            0.0           1.0              4.0            403.0   \n",
       "68195            0.0           1.0              4.0            402.0   \n",
       "68196            0.0           1.0              4.0            402.0   \n",
       "68197            0.0           1.0              4.0            403.0   \n",
       "68198            0.0           1.0              4.0            402.0   \n",
       "68199            0.0           1.0              4.0            402.0   \n",
       "68200            0.0           1.0              4.0            402.0   \n",
       "68201            0.0           1.0              4.0            403.0   \n",
       "68202            0.0           1.0              4.0            403.0   \n",
       "68203            0.0           1.0              4.0            402.0   \n",
       "68204            0.0           1.0              4.0            402.0   \n",
       "68205            0.0           1.0              4.0            402.0   \n",
       "68206            0.0           1.0              4.0            402.0   \n",
       "68207            0.0           1.0              4.0            403.0   \n",
       "68208            0.0           1.0              4.0            402.0   \n",
       "68209            0.0           1.0              4.0            402.0   \n",
       "68210            0.0           1.0              4.0            402.0   \n",
       "68211            0.0           1.0              4.0            403.0   \n",
       "68212            0.0           1.0              4.0            403.0   \n",
       "68213            0.0           1.0              4.0            401.0   \n",
       "68214            0.0           1.0              4.0            401.0   \n",
       "68215            0.0           1.0              4.0            403.0   \n",
       "\n",
       "       H_SCLAS_CD,C,10  STDR_YM_CD,C,6  \n",
       "0              40201.0            2016  \n",
       "1              20101.0            2016  \n",
       "2              20401.0            2016  \n",
       "3              20401.0            2016  \n",
       "4              40201.0            2016  \n",
       "5              20101.0            2016  \n",
       "6              20401.0            2016  \n",
       "7              20401.0            2016  \n",
       "8              20401.0            2016  \n",
       "9              20401.0            2016  \n",
       "10             40201.0            2016  \n",
       "11             40201.0            2016  \n",
       "12             40201.0            2016  \n",
       "13             40201.0            2016  \n",
       "14             40201.0            2016  \n",
       "15             40301.0            2016  \n",
       "16             40201.0            2016  \n",
       "17             40201.0            2016  \n",
       "18             40201.0            2016  \n",
       "19             20101.0            2016  \n",
       "20             40201.0            2016  \n",
       "21             40301.0            2016  \n",
       "22             40201.0            2016  \n",
       "23             40301.0            2016  \n",
       "24             40301.0            2016  \n",
       "25             40301.0            2016  \n",
       "26             20101.0            2016  \n",
       "27             40101.0            2016  \n",
       "28             40201.0            2016  \n",
       "29             40201.0            2016  \n",
       "...                ...             ...  \n",
       "68186          40201.0            2016  \n",
       "68187          40201.0            2016  \n",
       "68188          40301.0            2016  \n",
       "68189          40301.0            2016  \n",
       "68190          40301.0            2016  \n",
       "68191          40301.0            2016  \n",
       "68192          40301.0            2016  \n",
       "68193          40201.0            2016  \n",
       "68194          40301.0            2016  \n",
       "68195          40201.0            2016  \n",
       "68196          40201.0            2016  \n",
       "68197          40301.0            2016  \n",
       "68198          40201.0            2016  \n",
       "68199          40201.0            2016  \n",
       "68200          40201.0            2016  \n",
       "68201          40301.0            2016  \n",
       "68202          40301.0            2016  \n",
       "68203          40201.0            2016  \n",
       "68204          40201.0            2016  \n",
       "68205          40201.0            2016  \n",
       "68206          40201.0            2016  \n",
       "68207          40301.0            2016  \n",
       "68208          40201.0            2016  \n",
       "68209          40201.0            2016  \n",
       "68210          40201.0            2016  \n",
       "68211          40301.0            2016  \n",
       "68212          40301.0            2016  \n",
       "68213          40101.0            2016  \n",
       "68214          40101.0            2016  \n",
       "68215          40301.0            2016  \n",
       "\n",
       "[68216 rows x 15 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blockdata.rename(columns={'BLCK_CD,C,6':'고객주소블록코드'},inplace=True)\n",
    "blockdata.rename(columns={'BLCK_NM,C,30':'고객거주주소'},inplace=True)\n",
    "blockdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['가락동', '가락본동', '가리봉동', '가산동', '가양동', '가회동', '갈현동', '강일동', '개봉동',\n",
       "       '개포동', '거여동', '고덕동', '고척동', '공덕동', '공릉동', '공항동', '광장동', '광희동',\n",
       "       '교남동', '구로동', '구산동', '구의동', '군자동', '금호동', '길동', '길음동', '낙성대동',\n",
       "       '난곡동', '난향동', '남가좌동', '남영동', '남현동', '내곡동', '노량진동', '녹번동', '논현동',\n",
       "       '능동', '다산동', '답십리동', '당산동', '대림동', '대방동', '대조동', '대치동', '대학동',\n",
       "       '대흥동', '도곡동', '도림동', '도봉동', '도화동', '독산동', '돈암동', '동선동', '동화동',\n",
       "       '둔촌동', '등촌동', '마장동', '마천동', '망우동', '망우본동', '망원동', '면목동', '면목본동',\n",
       "       '명동', '명일동', '목동', '무악동', '묵동', '문래동', '문정동', '미성동', '미아동', '반포동',\n",
       "       '반포본동', '발산동', '방배동', '방배본동', '방이동', '방학동', '방화동', '번동', '보광동',\n",
       "       '보라매동', '보문동', '부암동', '북가좌동', '북아현동', '불광동', '사근동', '사당동', '사직동',\n",
       "       '삼각산동', '삼선동', '삼성동', '삼양동', '삼전동', '삼청동', '상계동', '상도동', '상봉동',\n",
       "       '상암동', '상일동', '서강동', '서교동', '서림동', '서빙고동', '서원동', '서초동', '석관동',\n",
       "       '석촌동', '성내동', '성북동', '성산동', '성수동', '성현동', '세곡동', '소공동', '송정동',\n",
       "       '송중동', '송천동', '송파동', '수궁동', '수색동', '수서동', '수유동', '숭인동', '시흥동',\n",
       "       '신길동', '신내동', '신당동', '신대방동', '신도림동', '신림동', '신사동', '신수동', '신원동',\n",
       "       '신월동', '신정동', '신촌동', '쌍문동', '아현동', '안암동', '암사동', '압구정동', '약수동',\n",
       "       '양재동', '양평동', '여의동', '역삼동', '역촌동', '연남동', '연희동', '염리동', '염창동',\n",
       "       '영등포동', '영등포본동', '오금동', '오류동', '오륜동', '옥수동', '왕십리동', '왕십리도선동',\n",
       "       '용강동', '용답동', '용문동', '용산동', '용신동', '우이동', '우장산동', '원효로동', '월계동',\n",
       "       '월곡동', '위례동', '은천동', '을지로동', '응봉동', '응암동', '이문동', '이촌동', '이태원동',\n",
       "       '이화동', '인수동', '인헌동', '일원동', '일원본동', '자양동', '잠실동', '잠실본동', '잠원동',\n",
       "       '장안동', '장위동', '장지동', '장충동', '전농동', '정릉동', '제기동', '조원동', '종로동',\n",
       "       '종암동', '중계동', '중계본동', '중곡동', '중림동', '중앙동', '중화동', '증산동', '진관동',\n",
       "       '창동', '창신동', '천연동', '천호동', '청구동', '청담동', '청량리동', '청룡동', '청림동',\n",
       "       '청운효자동', '청파동', '충현동', '평창동', '풍납동', '필동', '하계동', '한강로동', '한남동',\n",
       "       '합정동', '행당동', '행운동', '혜화동', '홍은동', '홍제동', '화곡동', '화곡본동', '화양동',\n",
       "       '황학동', '회기동', '회현동', '효창동', '후암동', '휘경동', '흑석동'], dtype=object)"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blockdata['고객거주주소'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "big_DF=pd.merge(UPJONG_Df, blockdata, how='left', on='고객주소블록코드')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            천호동\n",
       "1            화곡동\n",
       "2            화곡동\n",
       "3            당산동\n",
       "4            약수동\n",
       "5            염리동\n",
       "6            구산동\n",
       "7            정릉동\n",
       "8            신월동\n",
       "9            성현동\n",
       "10           방학동\n",
       "11          방배본동\n",
       "12           구로동\n",
       "13           대치동\n",
       "14           가양동\n",
       "15           방학동\n",
       "16           개포동\n",
       "17           천호동\n",
       "18           암사동\n",
       "19           마천동\n",
       "20          일원본동\n",
       "21           성수동\n",
       "22           상계동\n",
       "23           자양동\n",
       "24           개봉동\n",
       "25           신정동\n",
       "26           성북동\n",
       "27          일원본동\n",
       "28           행운동\n",
       "29           풍납동\n",
       "            ... \n",
       "10683753     청담동\n",
       "10683754     신사동\n",
       "10683755     역촌동\n",
       "10683756     고덕동\n",
       "10683757     중화동\n",
       "10683758     상암동\n",
       "10683759    잠실본동\n",
       "10683760     보문동\n",
       "10683761     거여동\n",
       "10683762     수궁동\n",
       "10683763     장안동\n",
       "10683764     월곡동\n",
       "10683765    영등포동\n",
       "10683766     신정동\n",
       "10683767     장위동\n",
       "10683768     난곡동\n",
       "10683769     송파동\n",
       "10683770     신월동\n",
       "10683771     사당동\n",
       "10683772     구로동\n",
       "10683773     도화동\n",
       "10683774     신월동\n",
       "10683775     화양동\n",
       "10683776     정릉동\n",
       "10683777    노량진동\n",
       "10683778     가산동\n",
       "10683779     공항동\n",
       "10683780     면목동\n",
       "10683781     도봉동\n",
       "10683782     창신동\n",
       "Name: 고객거주주소, Length: 10683783, dtype: object"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_DF['고객거주주소']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
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       "    <tr>\n",
       "      <th>CLASS1</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>가전/가구</th>\n",
       "      <td>1548483</td>\n",
       "      <td>288124483029</td>\n",
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       "      <td>6609428</td>\n",
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       "      <td>88740227</td>\n",
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       "      <th>유통</th>\n",
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       "      <th>의류/잡화</th>\n",
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      ],
      "text/plain": [
       "             카드이용건수계        카드이용금액계\n",
       "CLASS1                             \n",
       "가전/가구        1548483   288124483029\n",
       "가정생활/서비스    14935708   880177453042\n",
       "교육/학원        2402004   251570022533\n",
       "미용           4413289   174376560059\n",
       "스포츠/문화/레저   11995083   335666302383\n",
       "여행/교통        6609428   410895400465\n",
       "요식/유흥       88740227  1741590874949\n",
       "유통         101747043  1962114962404\n",
       "음/식료품        9670107   242096094426\n",
       "의료          18577280   909655333536\n",
       "의류/잡화        3724306   246693330936\n",
       "자동차          2142715   259558500745\n",
       "전자상거래       29663983  1765960829644\n",
       "주유           8602547   382151294748"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPbig_Df=big_DF.pivot_table(index=['CLASS1'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPbig_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고객거주주소</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">가락동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">F</th>\n",
       "      <th rowspan=\"13\" valign=\"top\">10대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>15</td>\n",
       "      <td>89208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>100</td>\n",
       "      <td>2694581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>290</td>\n",
       "      <td>6501852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>130</td>\n",
       "      <td>2305548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>691</td>\n",
       "      <td>6457803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>235</td>\n",
       "      <td>4338649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>3238</td>\n",
       "      <td>32807728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>2915</td>\n",
       "      <td>15736191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>155</td>\n",
       "      <td>1000440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>120</td>\n",
       "      <td>2087064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>125</td>\n",
       "      <td>1910412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>375</td>\n",
       "      <td>7621664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>15</td>\n",
       "      <td>358525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">20대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>701</td>\n",
       "      <td>81013161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>3626</td>\n",
       "      <td>150447830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>1707</td>\n",
       "      <td>24000078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>1973</td>\n",
       "      <td>66967640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>5731</td>\n",
       "      <td>124407890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>2921</td>\n",
       "      <td>114808953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>48511</td>\n",
       "      <td>675480108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>37664</td>\n",
       "      <td>468531865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>2822</td>\n",
       "      <td>32747752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>4905</td>\n",
       "      <td>195040487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>2509</td>\n",
       "      <td>84829550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>235</td>\n",
       "      <td>2680877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>17289</td>\n",
       "      <td>741925560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>486</td>\n",
       "      <td>19263605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">30대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>997</td>\n",
       "      <td>660063540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>7053</td>\n",
       "      <td>433060021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>2718</td>\n",
       "      <td>354020639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">흑석동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">M</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>전자상거래</th>\n",
       "      <td>4948</td>\n",
       "      <td>359640934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>4428</td>\n",
       "      <td>225251539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">60대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>245</td>\n",
       "      <td>68160456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>3012</td>\n",
       "      <td>220506970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>200</td>\n",
       "      <td>5311102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>520</td>\n",
       "      <td>16822512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>1051</td>\n",
       "      <td>37557627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>1086</td>\n",
       "      <td>95952381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>11543</td>\n",
       "      <td>325074304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>11682</td>\n",
       "      <td>337721028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>1871</td>\n",
       "      <td>44443225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>4908</td>\n",
       "      <td>221658594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>315</td>\n",
       "      <td>27784411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>535</td>\n",
       "      <td>99222586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>1507</td>\n",
       "      <td>98769609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>3714</td>\n",
       "      <td>166581752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">70대이상</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>100</td>\n",
       "      <td>20376871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>1005</td>\n",
       "      <td>44879220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>80</td>\n",
       "      <td>1582308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>125</td>\n",
       "      <td>7878931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>340</td>\n",
       "      <td>51184980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>285</td>\n",
       "      <td>45197243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>4520</td>\n",
       "      <td>126775253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>4830</td>\n",
       "      <td>113511088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>1087</td>\n",
       "      <td>41007759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>3171</td>\n",
       "      <td>145303953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>175</td>\n",
       "      <td>15116371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>145</td>\n",
       "      <td>5769006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>325</td>\n",
       "      <td>35943672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>1079</td>\n",
       "      <td>43704507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46344 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           카드이용건수계    카드이용금액계\n",
       "고객거주주소 성별 연령대별  CLASS1                       \n",
       "가락동    F  10대   가전/가구           15      89208\n",
       "                가정생활/서비스       100    2694581\n",
       "                교육/학원          290    6501852\n",
       "                미용             130    2305548\n",
       "                스포츠/문화/레저      691    6457803\n",
       "                여행/교통          235    4338649\n",
       "                요식/유흥         3238   32807728\n",
       "                유통            2915   15736191\n",
       "                음/식료품          155    1000440\n",
       "                의료             120    2087064\n",
       "                의류/잡화          125    1910412\n",
       "                전자상거래          375    7621664\n",
       "                주유              15     358525\n",
       "          20대   가전/가구          701   81013161\n",
       "                가정생활/서비스      3626  150447830\n",
       "                교육/학원         1707   24000078\n",
       "                미용            1973   66967640\n",
       "                스포츠/문화/레저     5731  124407890\n",
       "                여행/교통         2921  114808953\n",
       "                요식/유흥        48511  675480108\n",
       "                유통           37664  468531865\n",
       "                음/식료품         2822   32747752\n",
       "                의료            4905  195040487\n",
       "                의류/잡화         2509   84829550\n",
       "                자동차            235    2680877\n",
       "                전자상거래        17289  741925560\n",
       "                주유             486   19263605\n",
       "          30대   가전/가구          997  660063540\n",
       "                가정생활/서비스      7053  433060021\n",
       "                교육/학원         2718  354020639\n",
       "...                            ...        ...\n",
       "흑석동    M  50대   전자상거래         4948  359640934\n",
       "                주유            4428  225251539\n",
       "          60대   가전/가구          245   68160456\n",
       "                가정생활/서비스      3012  220506970\n",
       "                교육/학원          200    5311102\n",
       "                미용             520   16822512\n",
       "                스포츠/문화/레저     1051   37557627\n",
       "                여행/교통         1086   95952381\n",
       "                요식/유흥        11543  325074304\n",
       "                유통           11682  337721028\n",
       "                음/식료품         1871   44443225\n",
       "                의료            4908  221658594\n",
       "                의류/잡화          315   27784411\n",
       "                자동차            535   99222586\n",
       "                전자상거래         1507   98769609\n",
       "                주유            3714  166581752\n",
       "          70대이상 가전/가구          100   20376871\n",
       "                가정생활/서비스      1005   44879220\n",
       "                교육/학원           80    1582308\n",
       "                미용             125    7878931\n",
       "                스포츠/문화/레저      340   51184980\n",
       "                여행/교통          285   45197243\n",
       "                요식/유흥         4520  126775253\n",
       "                유통            4830  113511088\n",
       "                음/식료품         1087   41007759\n",
       "                의료            3171  145303953\n",
       "                의류/잡화          175   15116371\n",
       "                자동차            145    5769006\n",
       "                전자상거래          325   35943672\n",
       "                주유            1079   43704507\n",
       "\n",
       "[46344 rows x 2 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPbig_Df=big_DF.pivot_table(index=['고객거주주소','성별','연령대별','CLASS1'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPbig_Df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "      <th>카드이용건수계순위</th>\n",
       "      <th>카드이용금액계순위</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고객거주주소</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">가락동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">F</th>\n",
       "      <th rowspan=\"13\" valign=\"top\">10대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>15</td>\n",
       "      <td>89208</td>\n",
       "      <td>12.5</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>100</td>\n",
       "      <td>2694581</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>290</td>\n",
       "      <td>6501852</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>130</td>\n",
       "      <td>2305548</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>691</td>\n",
       "      <td>6457803</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>235</td>\n",
       "      <td>4338649</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>3238</td>\n",
       "      <td>32807728</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>2915</td>\n",
       "      <td>15736191</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>155</td>\n",
       "      <td>1000440</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>120</td>\n",
       "      <td>2087064</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>125</td>\n",
       "      <td>1910412</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>375</td>\n",
       "      <td>7621664</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>15</td>\n",
       "      <td>358525</td>\n",
       "      <td>12.5</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">20대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>701</td>\n",
       "      <td>81013161</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>3626</td>\n",
       "      <td>150447830</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>1707</td>\n",
       "      <td>24000078</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>1973</td>\n",
       "      <td>66967640</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>5731</td>\n",
       "      <td>124407890</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>2921</td>\n",
       "      <td>114808953</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>48511</td>\n",
       "      <td>675480108</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>37664</td>\n",
       "      <td>468531865</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>2822</td>\n",
       "      <td>32747752</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>4905</td>\n",
       "      <td>195040487</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>2509</td>\n",
       "      <td>84829550</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>235</td>\n",
       "      <td>2680877</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>17289</td>\n",
       "      <td>741925560</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>486</td>\n",
       "      <td>19263605</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">30대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>997</td>\n",
       "      <td>660063540</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>7053</td>\n",
       "      <td>433060021</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>2718</td>\n",
       "      <td>354020639</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">흑석동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">M</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>전자상거래</th>\n",
       "      <td>4948</td>\n",
       "      <td>359640934</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>4428</td>\n",
       "      <td>225251539</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">60대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>245</td>\n",
       "      <td>68160456</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>3012</td>\n",
       "      <td>220506970</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>200</td>\n",
       "      <td>5311102</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>520</td>\n",
       "      <td>16822512</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>1051</td>\n",
       "      <td>37557627</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>1086</td>\n",
       "      <td>95952381</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>11543</td>\n",
       "      <td>325074304</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>11682</td>\n",
       "      <td>337721028</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>1871</td>\n",
       "      <td>44443225</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>4908</td>\n",
       "      <td>221658594</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>315</td>\n",
       "      <td>27784411</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>535</td>\n",
       "      <td>99222586</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>1507</td>\n",
       "      <td>98769609</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>3714</td>\n",
       "      <td>166581752</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">70대이상</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>100</td>\n",
       "      <td>20376871</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>1005</td>\n",
       "      <td>44879220</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>80</td>\n",
       "      <td>1582308</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>125</td>\n",
       "      <td>7878931</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>340</td>\n",
       "      <td>51184980</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>285</td>\n",
       "      <td>45197243</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>4520</td>\n",
       "      <td>126775253</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>4830</td>\n",
       "      <td>113511088</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>1087</td>\n",
       "      <td>41007759</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>3171</td>\n",
       "      <td>145303953</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>175</td>\n",
       "      <td>15116371</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>145</td>\n",
       "      <td>5769006</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>325</td>\n",
       "      <td>35943672</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>1079</td>\n",
       "      <td>43704507</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46344 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           카드이용건수계    카드이용금액계  카드이용건수계순위  카드이용금액계순위\n",
       "고객거주주소 성별 연령대별  CLASS1                                             \n",
       "가락동    F  10대   가전/가구           15      89208       12.5       13.0\n",
       "                가정생활/서비스       100    2694581       11.0        7.0\n",
       "                교육/학원          290    6501852        5.0        4.0\n",
       "                미용             130    2305548        8.0        8.0\n",
       "                스포츠/문화/레저      691    6457803        3.0        5.0\n",
       "                여행/교통          235    4338649        6.0        6.0\n",
       "                요식/유흥         3238   32807728        1.0        1.0\n",
       "                유통            2915   15736191        2.0        2.0\n",
       "                음/식료품          155    1000440        7.0       11.0\n",
       "                의료             120    2087064       10.0        9.0\n",
       "                의류/잡화          125    1910412        9.0       10.0\n",
       "                전자상거래          375    7621664        4.0        3.0\n",
       "                주유              15     358525       12.5       12.0\n",
       "          20대   가전/가구          701   81013161       12.0        9.0\n",
       "                가정생활/서비스      3626  150447830        6.0        5.0\n",
       "                교육/학원         1707   24000078       11.0       12.0\n",
       "                미용            1973   66967640       10.0       10.0\n",
       "                스포츠/문화/레저     5731  124407890        4.0        6.0\n",
       "                여행/교통         2921  114808953        7.0        7.0\n",
       "                요식/유흥        48511  675480108        1.0        2.0\n",
       "                유통           37664  468531865        2.0        3.0\n",
       "                음/식료품         2822   32747752        8.0       11.0\n",
       "                의료            4905  195040487        5.0        4.0\n",
       "                의류/잡화         2509   84829550        9.0        8.0\n",
       "                자동차            235    2680877       14.0       14.0\n",
       "                전자상거래        17289  741925560        3.0        1.0\n",
       "                주유             486   19263605       13.0       13.0\n",
       "          30대   가전/가구          997  660063540       13.0        4.0\n",
       "                가정생활/서비스      7053  433060021        5.0        6.0\n",
       "                교육/학원         2718  354020639       10.0        7.0\n",
       "...                            ...        ...        ...        ...\n",
       "흑석동    M  50대   전자상거래         4948  359640934        5.0        3.0\n",
       "                주유            4428  225251539        6.0        7.0\n",
       "          60대   가전/가구          245   68160456       13.0        9.0\n",
       "                가정생활/서비스      3012  220506970        5.0        4.0\n",
       "                교육/학원          200    5311102       14.0       14.0\n",
       "                미용             520   16822512       11.0       13.0\n",
       "                스포츠/문화/레저     1051   37557627        9.0       11.0\n",
       "                여행/교통         1086   95952381        8.0        8.0\n",
       "                요식/유흥        11543  325074304        2.0        2.0\n",
       "                유통           11682  337721028        1.0        1.0\n",
       "                음/식료품         1871   44443225        6.0       10.0\n",
       "                의료            4908  221658594        3.0        3.0\n",
       "                의류/잡화          315   27784411       12.0       12.0\n",
       "                자동차            535   99222586       10.0        6.0\n",
       "                전자상거래         1507   98769609        7.0        7.0\n",
       "                주유            3714  166581752        4.0        5.0\n",
       "          70대이상 가전/가구          100   20376871       13.0       10.0\n",
       "                가정생활/서비스      1005   44879220        6.0        6.0\n",
       "                교육/학원           80    1582308       14.0       14.0\n",
       "                미용             125    7878931       12.0       12.0\n",
       "                스포츠/문화/레저      340   51184980        7.0        4.0\n",
       "                여행/교통          285   45197243        9.0        5.0\n",
       "                요식/유흥         4520  126775253        2.0        2.0\n",
       "                유통            4830  113511088        1.0        3.0\n",
       "                음/식료품         1087   41007759        4.0        8.0\n",
       "                의료            3171  145303953        3.0        1.0\n",
       "                의류/잡화          175   15116371       10.0       11.0\n",
       "                자동차            145    5769006       11.0       13.0\n",
       "                전자상거래          325   35943672        8.0        9.0\n",
       "                주유            1079   43704507        5.0        7.0\n",
       "\n",
       "[46344 rows x 4 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPbig_Df['카드이용건수계순위']=UPbig_Df.groupby(['고객거주주소','연령대별','성별'])['카드이용건수계'].rank(ascending=False)\n",
    "UPbig_Df['카드이용금액계순위']=UPbig_Df.groupby(['고객거주주소','연령대별','성별'])['카드이용금액계'].rank(ascending=False)\n",
    "\n",
    "UPbig_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "Real_Df=UPbig_Df.drop([\"카드이용건수계\",\"카드이용금액계\"],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>카드이용건수계순위</th>\n",
       "      <th>카드이용금액계순위</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고객거주주소</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">가락동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">F</th>\n",
       "      <th rowspan=\"13\" valign=\"top\">10대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>12.5</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>12.5</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">20대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">30대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">흑석동</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">M</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>전자상거래</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">60대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">70대이상</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46344 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           카드이용건수계순위  카드이용금액계순위\n",
       "고객거주주소 성별 연령대별  CLASS1                         \n",
       "가락동    F  10대   가전/가구           12.5       13.0\n",
       "                가정생활/서비스        11.0        7.0\n",
       "                교육/학원            5.0        4.0\n",
       "                미용               8.0        8.0\n",
       "                스포츠/문화/레저        3.0        5.0\n",
       "                여행/교통            6.0        6.0\n",
       "                요식/유흥            1.0        1.0\n",
       "                유통               2.0        2.0\n",
       "                음/식료품            7.0       11.0\n",
       "                의료              10.0        9.0\n",
       "                의류/잡화            9.0       10.0\n",
       "                전자상거래            4.0        3.0\n",
       "                주유              12.5       12.0\n",
       "          20대   가전/가구           12.0        9.0\n",
       "                가정생활/서비스         6.0        5.0\n",
       "                교육/학원           11.0       12.0\n",
       "                미용              10.0       10.0\n",
       "                스포츠/문화/레저        4.0        6.0\n",
       "                여행/교통            7.0        7.0\n",
       "                요식/유흥            1.0        2.0\n",
       "                유통               2.0        3.0\n",
       "                음/식료품            8.0       11.0\n",
       "                의료               5.0        4.0\n",
       "                의류/잡화            9.0        8.0\n",
       "                자동차             14.0       14.0\n",
       "                전자상거래            3.0        1.0\n",
       "                주유              13.0       13.0\n",
       "          30대   가전/가구           13.0        4.0\n",
       "                가정생활/서비스         5.0        6.0\n",
       "                교육/학원           10.0        7.0\n",
       "...                              ...        ...\n",
       "흑석동    M  50대   전자상거래            5.0        3.0\n",
       "                주유               6.0        7.0\n",
       "          60대   가전/가구           13.0        9.0\n",
       "                가정생활/서비스         5.0        4.0\n",
       "                교육/학원           14.0       14.0\n",
       "                미용              11.0       13.0\n",
       "                스포츠/문화/레저        9.0       11.0\n",
       "                여행/교통            8.0        8.0\n",
       "                요식/유흥            2.0        2.0\n",
       "                유통               1.0        1.0\n",
       "                음/식료품            6.0       10.0\n",
       "                의료               3.0        3.0\n",
       "                의류/잡화           12.0       12.0\n",
       "                자동차             10.0        6.0\n",
       "                전자상거래            7.0        7.0\n",
       "                주유               4.0        5.0\n",
       "          70대이상 가전/가구           13.0       10.0\n",
       "                가정생활/서비스         6.0        6.0\n",
       "                교육/학원           14.0       14.0\n",
       "                미용              12.0       12.0\n",
       "                스포츠/문화/레저        7.0        4.0\n",
       "                여행/교통            9.0        5.0\n",
       "                요식/유흥            2.0        2.0\n",
       "                유통               1.0        3.0\n",
       "                음/식료품            4.0        8.0\n",
       "                의료               3.0        1.0\n",
       "                의류/잡화           10.0       11.0\n",
       "                자동차             11.0       13.0\n",
       "                전자상거래            8.0        9.0\n",
       "                주유               5.0        7.0\n",
       "\n",
       "[46344 rows x 2 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Real_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "Real_Df.to_csv('고객주소응용통계.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA = pd.read_excel(\"E:/고객주소별정리데이터.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>고객거주주소</th>\n",
       "      <th>성별</th>\n",
       "      <th>연령대별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th>카드이용건수계순위</th>\n",
       "      <th>카드이용금액계순위</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>12.5</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>미용</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>유통</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>의료</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>10대</td>\n",
       "      <td>주유</td>\n",
       "      <td>12.5</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>미용</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>유통</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>의료</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>자동차</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>20대</td>\n",
       "      <td>주유</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>가락동</td>\n",
       "      <td>F</td>\n",
       "      <td>30대</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46314</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46315</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>50대</td>\n",
       "      <td>주유</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46316</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46317</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46318</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46319</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>미용</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46320</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46321</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46322</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46323</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>유통</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46324</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46325</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>의료</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46326</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46327</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>자동차</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46328</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46329</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>60대</td>\n",
       "      <td>주유</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46330</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46331</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46332</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46333</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>미용</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46334</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46335</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46336</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46337</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>유통</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46338</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46339</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>의료</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46340</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46341</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>자동차</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46342</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46343</th>\n",
       "      <td>흑석동</td>\n",
       "      <td>M</td>\n",
       "      <td>70대이상</td>\n",
       "      <td>주유</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46344 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      고객거주주소 성별   연령대별     CLASS1  카드이용건수계순위  카드이용금액계순위\n",
       "0        가락동  F    10대      가전/가구       12.5       13.0\n",
       "1        가락동  F    10대   가정생활/서비스       11.0        7.0\n",
       "2        가락동  F    10대      교육/학원        5.0        4.0\n",
       "3        가락동  F    10대         미용        8.0        8.0\n",
       "4        가락동  F    10대  스포츠/문화/레저        3.0        5.0\n",
       "5        가락동  F    10대      여행/교통        6.0        6.0\n",
       "6        가락동  F    10대      요식/유흥        1.0        1.0\n",
       "7        가락동  F    10대         유통        2.0        2.0\n",
       "8        가락동  F    10대      음/식료품        7.0       11.0\n",
       "9        가락동  F    10대         의료       10.0        9.0\n",
       "10       가락동  F    10대      의류/잡화        9.0       10.0\n",
       "11       가락동  F    10대      전자상거래        4.0        3.0\n",
       "12       가락동  F    10대         주유       12.5       12.0\n",
       "13       가락동  F    20대      가전/가구       12.0        9.0\n",
       "14       가락동  F    20대   가정생활/서비스        6.0        5.0\n",
       "15       가락동  F    20대      교육/학원       11.0       12.0\n",
       "16       가락동  F    20대         미용       10.0       10.0\n",
       "17       가락동  F    20대  스포츠/문화/레저        4.0        6.0\n",
       "18       가락동  F    20대      여행/교통        7.0        7.0\n",
       "19       가락동  F    20대      요식/유흥        1.0        2.0\n",
       "20       가락동  F    20대         유통        2.0        3.0\n",
       "21       가락동  F    20대      음/식료품        8.0       11.0\n",
       "22       가락동  F    20대         의료        5.0        4.0\n",
       "23       가락동  F    20대      의류/잡화        9.0        8.0\n",
       "24       가락동  F    20대        자동차       14.0       14.0\n",
       "25       가락동  F    20대      전자상거래        3.0        1.0\n",
       "26       가락동  F    20대         주유       13.0       13.0\n",
       "27       가락동  F    30대      가전/가구       13.0        4.0\n",
       "28       가락동  F    30대   가정생활/서비스        5.0        6.0\n",
       "29       가락동  F    30대      교육/학원       10.0        7.0\n",
       "...      ... ..    ...        ...        ...        ...\n",
       "46314    흑석동  M    50대      전자상거래        5.0        3.0\n",
       "46315    흑석동  M    50대         주유        6.0        7.0\n",
       "46316    흑석동  M    60대      가전/가구       13.0        9.0\n",
       "46317    흑석동  M    60대   가정생활/서비스        5.0        4.0\n",
       "46318    흑석동  M    60대      교육/학원       14.0       14.0\n",
       "46319    흑석동  M    60대         미용       11.0       13.0\n",
       "46320    흑석동  M    60대  스포츠/문화/레저        9.0       11.0\n",
       "46321    흑석동  M    60대      여행/교통        8.0        8.0\n",
       "46322    흑석동  M    60대      요식/유흥        2.0        2.0\n",
       "46323    흑석동  M    60대         유통        1.0        1.0\n",
       "46324    흑석동  M    60대      음/식료품        6.0       10.0\n",
       "46325    흑석동  M    60대         의료        3.0        3.0\n",
       "46326    흑석동  M    60대      의류/잡화       12.0       12.0\n",
       "46327    흑석동  M    60대        자동차       10.0        6.0\n",
       "46328    흑석동  M    60대      전자상거래        7.0        7.0\n",
       "46329    흑석동  M    60대         주유        4.0        5.0\n",
       "46330    흑석동  M  70대이상      가전/가구       13.0       10.0\n",
       "46331    흑석동  M  70대이상   가정생활/서비스        6.0        6.0\n",
       "46332    흑석동  M  70대이상      교육/학원       14.0       14.0\n",
       "46333    흑석동  M  70대이상         미용       12.0       12.0\n",
       "46334    흑석동  M  70대이상  스포츠/문화/레저        7.0        4.0\n",
       "46335    흑석동  M  70대이상      여행/교통        9.0        5.0\n",
       "46336    흑석동  M  70대이상      요식/유흥        2.0        2.0\n",
       "46337    흑석동  M  70대이상         유통        1.0        3.0\n",
       "46338    흑석동  M  70대이상      음/식료품        4.0        8.0\n",
       "46339    흑석동  M  70대이상         의료        3.0        1.0\n",
       "46340    흑석동  M  70대이상      의류/잡화       10.0       11.0\n",
       "46341    흑석동  M  70대이상        자동차       11.0       13.0\n",
       "46342    흑석동  M  70대이상      전자상거래        8.0        9.0\n",
       "46343    흑석동  M  70대이상         주유        5.0        7.0\n",
       "\n",
       "[46344 rows x 6 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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  {
   "cell_type": "code",
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  {
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  {
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  {
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  {
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  {
   "cell_type": "code",
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  {
   "cell_type": "code",
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  {
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  {
   "cell_type": "code",
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  },
  {
   "cell_type": "code",
   "execution_count": null,
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  },
  {
   "cell_type": "code",
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'BLCK_NM,C,30'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2656\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2657\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'BLCK_NM,C,30'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-92-22cb20549ad4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mbig_DF\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'BLCK_NM,C,30'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2925\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2926\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2927\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2928\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2929\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2657\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2659\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2660\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2661\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 'BLCK_NM,C,30'"
     ]
    }
   ],
   "source": [
    "big_DF['BLCK_NM,C,30']"
   ]
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  {
   "cell_type": "code",
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  {
   "cell_type": "code",
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  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "collapsed": true,
    "id": "Enbnyo7wrkfC",
    "outputId": "190153fd-4a73-4c44-ac1a-7e7e3f4ffa0d"
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   "outputs": [
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       "      <th>카드이용건수계</th>\n",
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       "      <td>2402004</td>\n",
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       "      <td>9670107</td>\n",
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      "text/plain": [
       "             카드이용건수계        카드이용금액계\n",
       "CLASS1                             \n",
       "가전/가구        1548483   288124483029\n",
       "가정생활/서비스    14935708   880177453042\n",
       "교육/학원        2402004   251570022533\n",
       "미용           4413289   174376560059\n",
       "스포츠/문화/레저   11995083   335666302383\n",
       "여행/교통        6609428   410895400465\n",
       "요식/유흥       88740227  1741590874949\n",
       "유통         101747043  1962114962404\n",
       "음/식료품        9670107   242096094426\n",
       "의료          18577280   909655333536\n",
       "의류/잡화        3724306   246693330936\n",
       "자동차          2142715   259558500745\n",
       "전자상거래       29663983  1765960829644\n",
       "주유           8602547   382151294748"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPbig_Df=UPJONG_Df.pivot_table(index=['CLASS1'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPbig_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <td>477288</td>\n",
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       "      <th>유통</th>\n",
       "      <td>70</td>\n",
       "      <td>816984</td>\n",
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       "      <th>의류/잡화</th>\n",
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       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>71</td>\n",
       "      <td>1557360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">30대</th>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>10</td>\n",
       "      <td>483235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>5</td>\n",
       "      <td>196560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>161</td>\n",
       "      <td>2181312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>55</td>\n",
       "      <td>1376323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>35</td>\n",
       "      <td>851760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>5</td>\n",
       "      <td>90216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>15</td>\n",
       "      <td>162691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">40대</th>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>5</td>\n",
       "      <td>55944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>5</td>\n",
       "      <td>755496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>5</td>\n",
       "      <td>234360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">50대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>5</td>\n",
       "      <td>1008000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>10</td>\n",
       "      <td>312480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>65</td>\n",
       "      <td>1615824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>136</td>\n",
       "      <td>2458159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>5</td>\n",
       "      <td>932400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>45</td>\n",
       "      <td>635040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>15</td>\n",
       "      <td>1811820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60대</th>\n",
       "      <th>의료</th>\n",
       "      <td>5</td>\n",
       "      <td>1090606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">M</th>\n",
       "      <th>20대</th>\n",
       "      <th>유통</th>\n",
       "      <td>5</td>\n",
       "      <td>10080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40대</th>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>5</td>\n",
       "      <td>54331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">507600</th>\n",
       "      <th rowspan=\"30\" valign=\"top\">M</th>\n",
       "      <th rowspan=\"11\" valign=\"top\">50대</th>\n",
       "      <th>교육/학원</th>\n",
       "      <td>10</td>\n",
       "      <td>4585392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>15</td>\n",
       "      <td>115920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>30</td>\n",
       "      <td>655704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>282</td>\n",
       "      <td>3793936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>242</td>\n",
       "      <td>2521965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>40</td>\n",
       "      <td>506016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>65</td>\n",
       "      <td>1087632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>5</td>\n",
       "      <td>25200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>5</td>\n",
       "      <td>69552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>35</td>\n",
       "      <td>2023862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>5</td>\n",
       "      <td>402787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">60대</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>10</td>\n",
       "      <td>438480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>50</td>\n",
       "      <td>1755936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>5</td>\n",
       "      <td>30240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>5</td>\n",
       "      <td>50400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>15</td>\n",
       "      <td>400957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>176</td>\n",
       "      <td>6832476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>201</td>\n",
       "      <td>11560551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>20</td>\n",
       "      <td>458640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>10</td>\n",
       "      <td>171360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>10</td>\n",
       "      <td>424368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>105</td>\n",
       "      <td>3490034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">70대이상</th>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>10</td>\n",
       "      <td>296352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>65</td>\n",
       "      <td>999432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>40</td>\n",
       "      <td>559390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>5</td>\n",
       "      <td>30240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>10</td>\n",
       "      <td>523656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>20</td>\n",
       "      <td>61488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>15</td>\n",
       "      <td>135072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>25</td>\n",
       "      <td>1632264</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4716071 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             카드이용건수계   카드이용금액계\n",
       "고객주소블록코드 성별 연령대별  CLASS1                      \n",
       "14       F  20대   가정생활/서비스         5     25200\n",
       "                  교육/학원            5     74088\n",
       "                  미용               5    114761\n",
       "                  스포츠/문화/레저      141    477288\n",
       "                  요식/유흥          105   1985659\n",
       "                  유통              70    816984\n",
       "                  음/식료품           10    138096\n",
       "                  의료              10     45360\n",
       "                  의류/잡화           15    336672\n",
       "                  전자상거래           71   1557360\n",
       "            30대   가정생활/서비스        10    483235\n",
       "                  스포츠/문화/레저        5    196560\n",
       "                  요식/유흥          161   2181312\n",
       "                  유통              55   1376323\n",
       "                  의료              35    851760\n",
       "                  의류/잡화            5     90216\n",
       "                  전자상거래           15    162691\n",
       "            40대   가정생활/서비스         5     55944\n",
       "                  스포츠/문화/레저        5    755496\n",
       "                  의료               5    234360\n",
       "            50대   가전/가구            5   1008000\n",
       "                  미용              10    312480\n",
       "                  요식/유흥           65   1615824\n",
       "                  유통             136   2458159\n",
       "                  음/식료품            5    932400\n",
       "                  의료              45    635040\n",
       "                  전자상거래           15   1811820\n",
       "            60대   의료               5   1090606\n",
       "         M  20대   유통               5     10080\n",
       "            40대   가정생활/서비스         5     54331\n",
       "...                              ...       ...\n",
       "507600   M  50대   교육/학원           10   4585392\n",
       "                  미용              15    115920\n",
       "                  스포츠/문화/레저       30    655704\n",
       "                  요식/유흥          282   3793936\n",
       "                  유통             242   2521965\n",
       "                  음/식료품           40    506016\n",
       "                  의료              65   1087632\n",
       "                  의류/잡화            5     25200\n",
       "                  자동차              5     69552\n",
       "                  전자상거래           35   2023862\n",
       "                  주유               5    402787\n",
       "            60대   가전/가구           10    438480\n",
       "                  가정생활/서비스        50   1755936\n",
       "                  교육/학원            5     30240\n",
       "                  스포츠/문화/레저        5     50400\n",
       "                  여행/교통           15    400957\n",
       "                  요식/유흥          176   6832476\n",
       "                  유통             201  11560551\n",
       "                  음/식료품           20    458640\n",
       "                  의료              10    171360\n",
       "                  전자상거래           10    424368\n",
       "                  주유             105   3490034\n",
       "            70대이상 스포츠/문화/레저       10    296352\n",
       "                  요식/유흥           65    999432\n",
       "                  유통              40    559390\n",
       "                  음/식료품            5     30240\n",
       "                  의료              10    523656\n",
       "                  자동차             20     61488\n",
       "                  전자상거래           15    135072\n",
       "                  주유              25   1632264\n",
       "\n",
       "[4716071 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPadd_Df=UPJONG_Df.pivot_table(index=['고객주소블록코드','성별','연령대별','CLASS1'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd_Df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "UPadd2_Df=UPJONG_Df.pivot_table(index=['CLASS1','연령대별'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd2_Df\n",
    "\n",
    "UPadd2_Df.to_csv('업종연령.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "UPadd3_Df=UPJONG_Df.pivot_table(index=['CLASS1','연령대별','성별'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd3_Df\n",
    "UPadd3_Df.to_csv('업종연령성별.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "UPadd4_Df=UPJONG_Df.pivot_table(index=['연령대별'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd4_Df\n",
    "UPadd4_Df.to_csv('연령.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "UPadd5_Df=UPJONG_Df.pivot_table(index=['연령대별','CLASS1'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd5_Df.to_csv('연령업종.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 726
    },
    "collapsed": true,
    "id": "TOwt0AiisrMS",
    "outputId": "ddaa850b-e1a0-44be-e47e-9f84a5fab0ae"
   },
   "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>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CLASS2</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>가전/가구</th>\n",
       "      <td>1548483</td>\n",
       "      <td>288124483029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>각종요금</th>\n",
       "      <td>11552586</td>\n",
       "      <td>715087536713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육용품</th>\n",
       "      <td>1631181</td>\n",
       "      <td>41208752182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교통</th>\n",
       "      <td>4662422</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타요식</th>\n",
       "      <td>28396657</td>\n",
       "      <td>441925687905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타유통</th>\n",
       "      <td>4769487</td>\n",
       "      <td>301889200564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기타의료</th>\n",
       "      <td>135656</td>\n",
       "      <td>45841970830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용서비스</th>\n",
       "      <td>3090828</td>\n",
       "      <td>112517978292</td>\n",
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       "    <tr>\n",
       "      <th>백화점</th>\n",
       "      <td>5980986</td>\n",
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       "    <tr>\n",
       "      <th>병원</th>\n",
       "      <td>10155996</td>\n",
       "      <td>738854400167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서비스</th>\n",
       "      <td>2856567</td>\n",
       "      <td>120626476996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>숙박</th>\n",
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       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>약국</th>\n",
       "      <td>8285628</td>\n",
       "      <td>124958962539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행</th>\n",
       "      <td>797198</td>\n",
       "      <td>210048967301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유아교육</th>\n",
       "      <td>278250</td>\n",
       "      <td>76797061297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유흥</th>\n",
       "      <td>982733</td>\n",
       "      <td>76730107616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>9670107</td>\n",
       "      <td>242096094426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의복/의류</th>\n",
       "      <td>2763508</td>\n",
       "      <td>172858494743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인테리어</th>\n",
       "      <td>526555</td>\n",
       "      <td>44463439333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>일식/중식/양식</th>\n",
       "      <td>7855954</td>\n",
       "      <td>238397610204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차서비스/용품</th>\n",
       "      <td>2097969</td>\n",
       "      <td>106595209209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차판매</th>\n",
       "      <td>44746</td>\n",
       "      <td>152963291536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>29663983</td>\n",
       "      <td>1765960829644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>제과/커피/패스트푸드</th>\n",
       "      <td>20455401</td>\n",
       "      <td>176859331840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>8602547</td>\n",
       "      <td>382151294748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>패션/잡화</th>\n",
       "      <td>960798</td>\n",
       "      <td>73834836193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>편의점</th>\n",
       "      <td>46363258</td>\n",
       "      <td>275799823539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>학원</th>\n",
       "      <td>492573</td>\n",
       "      <td>133564209054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>한식</th>\n",
       "      <td>31049482</td>\n",
       "      <td>807678137384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>할인점/슈퍼마켓</th>\n",
       "      <td>44633312</td>\n",
       "      <td>962406501696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>화장품</th>\n",
       "      <td>1322461</td>\n",
       "      <td>61858581767</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              카드이용건수계        카드이용금액계\n",
       "CLASS2                              \n",
       "가전/가구         1548483   288124483029\n",
       "각종요금         11552586   715087536713\n",
       "교육용품          1631181    41208752182\n",
       "교통            4662422   110063646368\n",
       "기타요식         28396657   441925687905\n",
       "기타유통          4769487   301889200564\n",
       "기타의료           135656    45841970830\n",
       "미용서비스         3090828   112517978292\n",
       "백화점           5980986   422019436605\n",
       "병원           10155996   738854400167\n",
       "서비스           2856567   120626476996\n",
       "숙박            1149808    90782786796\n",
       "스포츠/문화/레저    10589792   234213850056\n",
       "스포츠/문화/레저용품   1405291   101452452327\n",
       "약국            8285628   124958962539\n",
       "여행             797198   210048967301\n",
       "유아교육           278250    76797061297\n",
       "유흥             982733    76730107616\n",
       "음/식료품         9670107   242096094426\n",
       "의복/의류         2763508   172858494743\n",
       "인테리어           526555    44463439333\n",
       "일식/중식/양식      7855954   238397610204\n",
       "자동차서비스/용품     2097969   106595209209\n",
       "자동차판매           44746   152963291536\n",
       "전자상거래        29663983  1765960829644\n",
       "제과/커피/패스트푸드  20455401   176859331840\n",
       "주유            8602547   382151294748\n",
       "패션/잡화          960798    73834836193\n",
       "편의점          46363258   275799823539\n",
       "학원             492573   133564209054\n",
       "한식           31049482   807678137384\n",
       "할인점/슈퍼마켓     44633312   962406501696\n",
       "화장품           1322461    61858581767"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# UPmid_Df=UPJONG_Df.pivot_table(index=['SB_L_UPJONG_NM(대분류_13분류)','SB_M_UPJONG_NM(중분류_30분류)'],values=['AMT_CORR(카드이용금액계)','USECT_CORR(카드이용건수)'],aggfunc='sum')\n",
    "UPmid_Df=UPJONG_Df.pivot_table(index=['CLASS2'],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPmid_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "positional argument follows keyword argument (<ipython-input-55-0e9660470771>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-55-0e9660470771>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    UPmid_Df.drop(labels=\"카드이용건수계\",\"카드이용금액계\",axis=1)\u001b[0m\n\u001b[1;37m                                                ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m positional argument follows keyword argument\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "a1aazdmCtn0E",
    "outputId": "761211a2-fccd-4e31-dc23-0cd4388ed895",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xe301746400>,\n",
       " <matplotlib.lines.Line2D at 0xe300eeb630>]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc('font', family='batang')\n",
    "plt.figure(figsize=(15,8))\n",
    "plt.plot(UPbig_Df)\n",
    "\n",
    "# UPbig_Df.T.plot(axis=0)\n",
    "# plt.rcParams[\"figure.figsize\"] = (10,7)|\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "6-X3I-ai2eVW",
    "outputId": "aba8ead3-ee9d-4712-ef24-76dc77e4cc57"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xe300f57f98>,\n",
       " <matplotlib.lines.Line2D at 0xe300f640f0>]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "plt.plot(UPmid_Df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>연령대별</th>\n",
       "      <th>성별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"28\" valign=\"top\">10대</th>\n",
       "      <th rowspan=\"14\" valign=\"top\">F</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>5172</td>\n",
       "      <td>125025694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>58907</td>\n",
       "      <td>561587109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>35061</td>\n",
       "      <td>513691492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>37726</td>\n",
       "      <td>660118453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>140748</td>\n",
       "      <td>1454812746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>24150</td>\n",
       "      <td>679650464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>723645</td>\n",
       "      <td>7850769450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>642539</td>\n",
       "      <td>3908675974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>43877</td>\n",
       "      <td>278949187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>38447</td>\n",
       "      <td>769802110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>59198</td>\n",
       "      <td>1231897490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>370</td>\n",
       "      <td>3666560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>171484</td>\n",
       "      <td>3639183038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>925</td>\n",
       "      <td>23917022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">M</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>6514</td>\n",
       "      <td>132135343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>100943</td>\n",
       "      <td>811707329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>17564</td>\n",
       "      <td>400632474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>27670</td>\n",
       "      <td>458056924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>457480</td>\n",
       "      <td>2547125066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>23416</td>\n",
       "      <td>690496023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>607551</td>\n",
       "      <td>7485434981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>745922</td>\n",
       "      <td>3864760895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>45626</td>\n",
       "      <td>256789921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>30868</td>\n",
       "      <td>425514815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>16426</td>\n",
       "      <td>602091254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>900</td>\n",
       "      <td>15642778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>127269</td>\n",
       "      <td>2979633398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>7711</td>\n",
       "      <td>86277601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">20대</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">F</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>136517</td>\n",
       "      <td>12552423636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>998660</td>\n",
       "      <td>43436399608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">60대</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">M</th>\n",
       "      <th>전자상거래</th>\n",
       "      <td>342420</td>\n",
       "      <td>29616258641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>1589551</td>\n",
       "      <td>67352112206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"28\" valign=\"top\">70대이상</th>\n",
       "      <th rowspan=\"14\" valign=\"top\">F</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>19601</td>\n",
       "      <td>4929256297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>196381</td>\n",
       "      <td>10249722936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>10806</td>\n",
       "      <td>910356904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>63955</td>\n",
       "      <td>3249821960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>55894</td>\n",
       "      <td>3991312620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>39015</td>\n",
       "      <td>3789093841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>642635</td>\n",
       "      <td>17086414114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>1254410</td>\n",
       "      <td>40354584588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>274012</td>\n",
       "      <td>10578752064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>596170</td>\n",
       "      <td>30969072368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>53387</td>\n",
       "      <td>5649639592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>13246</td>\n",
       "      <td>2599771208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>149591</td>\n",
       "      <td>13748193110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>59334</td>\n",
       "      <td>2932626818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">M</th>\n",
       "      <th>가전/가구</th>\n",
       "      <td>26173</td>\n",
       "      <td>5974001830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>가정생활/서비스</th>\n",
       "      <td>268645</td>\n",
       "      <td>15883629772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>교육/학원</th>\n",
       "      <td>17707</td>\n",
       "      <td>1054267887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>미용</th>\n",
       "      <td>59538</td>\n",
       "      <td>1897200486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>스포츠/문화/레저</th>\n",
       "      <td>79726</td>\n",
       "      <td>4925652479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>여행/교통</th>\n",
       "      <td>79409</td>\n",
       "      <td>8799983419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>요식/유흥</th>\n",
       "      <td>1131475</td>\n",
       "      <td>31606189857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>유통</th>\n",
       "      <td>1311913</td>\n",
       "      <td>34426740237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>음/식료품</th>\n",
       "      <td>231540</td>\n",
       "      <td>9013250809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의료</th>\n",
       "      <td>845046</td>\n",
       "      <td>43020621077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>의류/잡화</th>\n",
       "      <td>38852</td>\n",
       "      <td>3594268609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>47413</td>\n",
       "      <td>8734063534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>전자상거래</th>\n",
       "      <td>91137</td>\n",
       "      <td>8095911088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>주유</th>\n",
       "      <td>674540</td>\n",
       "      <td>24144144863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    카드이용건수계      카드이용금액계\n",
       "연령대별  성별 CLASS1                         \n",
       "10대   F  가전/가구         5172    125025694\n",
       "         가정생활/서비스     58907    561587109\n",
       "         교육/학원        35061    513691492\n",
       "         미용           37726    660118453\n",
       "         스포츠/문화/레저   140748   1454812746\n",
       "         여행/교통        24150    679650464\n",
       "         요식/유흥       723645   7850769450\n",
       "         유통          642539   3908675974\n",
       "         음/식료품        43877    278949187\n",
       "         의료           38447    769802110\n",
       "         의류/잡화        59198   1231897490\n",
       "         자동차            370      3666560\n",
       "         전자상거래       171484   3639183038\n",
       "         주유             925     23917022\n",
       "      M  가전/가구         6514    132135343\n",
       "         가정생활/서비스    100943    811707329\n",
       "         교육/학원        17564    400632474\n",
       "         미용           27670    458056924\n",
       "         스포츠/문화/레저   457480   2547125066\n",
       "         여행/교통        23416    690496023\n",
       "         요식/유흥       607551   7485434981\n",
       "         유통          745922   3864760895\n",
       "         음/식료품        45626    256789921\n",
       "         의료           30868    425514815\n",
       "         의류/잡화        16426    602091254\n",
       "         자동차            900     15642778\n",
       "         전자상거래       127269   2979633398\n",
       "         주유            7711     86277601\n",
       "20대   F  가전/가구       136517  12552423636\n",
       "         가정생활/서비스    998660  43436399608\n",
       "...                     ...          ...\n",
       "60대   M  전자상거래       342420  29616258641\n",
       "         주유         1589551  67352112206\n",
       "70대이상 F  가전/가구        19601   4929256297\n",
       "         가정생활/서비스    196381  10249722936\n",
       "         교육/학원        10806    910356904\n",
       "         미용           63955   3249821960\n",
       "         스포츠/문화/레저    55894   3991312620\n",
       "         여행/교통        39015   3789093841\n",
       "         요식/유흥       642635  17086414114\n",
       "         유통         1254410  40354584588\n",
       "         음/식료품       274012  10578752064\n",
       "         의료          596170  30969072368\n",
       "         의류/잡화        53387   5649639592\n",
       "         자동차          13246   2599771208\n",
       "         전자상거래       149591  13748193110\n",
       "         주유           59334   2932626818\n",
       "      M  가전/가구        26173   5974001830\n",
       "         가정생활/서비스    268645  15883629772\n",
       "         교육/학원        17707   1054267887\n",
       "         미용           59538   1897200486\n",
       "         스포츠/문화/레저    79726   4925652479\n",
       "         여행/교통        79409   8799983419\n",
       "         요식/유흥      1131475  31606189857\n",
       "         유통         1311913  34426740237\n",
       "         음/식료품       231540   9013250809\n",
       "         의료          845046  43020621077\n",
       "         의류/잡화        38852   3594268609\n",
       "         자동차          47413   8734063534\n",
       "         전자상거래        91137   8095911088\n",
       "         주유          674540  24144144863\n",
       "\n",
       "[196 rows x 2 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "UPadd3_Df=UPJONG_Df.pivot_table(index=['연령대별','성별','CLASS1',],values=['카드이용금액계','카드이용건수계'],aggfunc='sum')\n",
    "UPadd3_Df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "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>연령대별</th>\n",
       "      <th>성별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>5172</td>\n",
       "      <td>125025694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>58907</td>\n",
       "      <td>561587109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>35061</td>\n",
       "      <td>513691492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>37726</td>\n",
       "      <td>660118453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>140748</td>\n",
       "      <td>1454812746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>24150</td>\n",
       "      <td>679650464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>723645</td>\n",
       "      <td>7850769450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>642539</td>\n",
       "      <td>3908675974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>43877</td>\n",
       "      <td>278949187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>38447</td>\n",
       "      <td>769802110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>59198</td>\n",
       "      <td>1231897490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>370</td>\n",
       "      <td>3666560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>171484</td>\n",
       "      <td>3639183038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>925</td>\n",
       "      <td>23917022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>6514</td>\n",
       "      <td>132135343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>100943</td>\n",
       "      <td>811707329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>17564</td>\n",
       "      <td>400632474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>27670</td>\n",
       "      <td>458056924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>457480</td>\n",
       "      <td>2547125066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>23416</td>\n",
       "      <td>690496023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>607551</td>\n",
       "      <td>7485434981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>745922</td>\n",
       "      <td>3864760895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>45626</td>\n",
       "      <td>256789921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>30868</td>\n",
       "      <td>425514815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>16426</td>\n",
       "      <td>602091254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>900</td>\n",
       "      <td>15642778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>127269</td>\n",
       "      <td>2979633398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>7711</td>\n",
       "      <td>86277601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>136517</td>\n",
       "      <td>12552423636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>998660</td>\n",
       "      <td>43436399608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>342420</td>\n",
       "      <td>29616258641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>1589551</td>\n",
       "      <td>67352112206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>19601</td>\n",
       "      <td>4929256297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>196381</td>\n",
       "      <td>10249722936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>10806</td>\n",
       "      <td>910356904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>63955</td>\n",
       "      <td>3249821960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>55894</td>\n",
       "      <td>3991312620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>39015</td>\n",
       "      <td>3789093841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>642635</td>\n",
       "      <td>17086414114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>1254410</td>\n",
       "      <td>40354584588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>274012</td>\n",
       "      <td>10578752064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>596170</td>\n",
       "      <td>30969072368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>53387</td>\n",
       "      <td>5649639592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>13246</td>\n",
       "      <td>2599771208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>149591</td>\n",
       "      <td>13748193110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>59334</td>\n",
       "      <td>2932626818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>26173</td>\n",
       "      <td>5974001830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>268645</td>\n",
       "      <td>15883629772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>17707</td>\n",
       "      <td>1054267887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>59538</td>\n",
       "      <td>1897200486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>79726</td>\n",
       "      <td>4925652479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>79409</td>\n",
       "      <td>8799983419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>1131475</td>\n",
       "      <td>31606189857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>1311913</td>\n",
       "      <td>34426740237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>231540</td>\n",
       "      <td>9013250809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>845046</td>\n",
       "      <td>43020621077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>38852</td>\n",
       "      <td>3594268609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>47413</td>\n",
       "      <td>8734063534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>91137</td>\n",
       "      <td>8095911088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>674540</td>\n",
       "      <td>24144144863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      연령대별 성별     CLASS1  카드이용건수계      카드이용금액계\n",
       "0      10대  F      가전/가구     5172    125025694\n",
       "1      10대  F   가정생활/서비스    58907    561587109\n",
       "2      10대  F      교육/학원    35061    513691492\n",
       "3      10대  F         미용    37726    660118453\n",
       "4      10대  F  스포츠/문화/레저   140748   1454812746\n",
       "5      10대  F      여행/교통    24150    679650464\n",
       "6      10대  F      요식/유흥   723645   7850769450\n",
       "7      10대  F         유통   642539   3908675974\n",
       "8      10대  F      음/식료품    43877    278949187\n",
       "9      10대  F         의료    38447    769802110\n",
       "10     10대  F      의류/잡화    59198   1231897490\n",
       "11     10대  F        자동차      370      3666560\n",
       "12     10대  F      전자상거래   171484   3639183038\n",
       "13     10대  F         주유      925     23917022\n",
       "14     10대  M      가전/가구     6514    132135343\n",
       "15     10대  M   가정생활/서비스   100943    811707329\n",
       "16     10대  M      교육/학원    17564    400632474\n",
       "17     10대  M         미용    27670    458056924\n",
       "18     10대  M  스포츠/문화/레저   457480   2547125066\n",
       "19     10대  M      여행/교통    23416    690496023\n",
       "20     10대  M      요식/유흥   607551   7485434981\n",
       "21     10대  M         유통   745922   3864760895\n",
       "22     10대  M      음/식료품    45626    256789921\n",
       "23     10대  M         의료    30868    425514815\n",
       "24     10대  M      의류/잡화    16426    602091254\n",
       "25     10대  M        자동차      900     15642778\n",
       "26     10대  M      전자상거래   127269   2979633398\n",
       "27     10대  M         주유     7711     86277601\n",
       "28     20대  F      가전/가구   136517  12552423636\n",
       "29     20대  F   가정생활/서비스   998660  43436399608\n",
       "..     ... ..        ...      ...          ...\n",
       "166    60대  M      전자상거래   342420  29616258641\n",
       "167    60대  M         주유  1589551  67352112206\n",
       "168  70대이상  F      가전/가구    19601   4929256297\n",
       "169  70대이상  F   가정생활/서비스   196381  10249722936\n",
       "170  70대이상  F      교육/학원    10806    910356904\n",
       "171  70대이상  F         미용    63955   3249821960\n",
       "172  70대이상  F  스포츠/문화/레저    55894   3991312620\n",
       "173  70대이상  F      여행/교통    39015   3789093841\n",
       "174  70대이상  F      요식/유흥   642635  17086414114\n",
       "175  70대이상  F         유통  1254410  40354584588\n",
       "176  70대이상  F      음/식료품   274012  10578752064\n",
       "177  70대이상  F         의료   596170  30969072368\n",
       "178  70대이상  F      의류/잡화    53387   5649639592\n",
       "179  70대이상  F        자동차    13246   2599771208\n",
       "180  70대이상  F      전자상거래   149591  13748193110\n",
       "181  70대이상  F         주유    59334   2932626818\n",
       "182  70대이상  M      가전/가구    26173   5974001830\n",
       "183  70대이상  M   가정생활/서비스   268645  15883629772\n",
       "184  70대이상  M      교육/학원    17707   1054267887\n",
       "185  70대이상  M         미용    59538   1897200486\n",
       "186  70대이상  M  스포츠/문화/레저    79726   4925652479\n",
       "187  70대이상  M      여행/교통    79409   8799983419\n",
       "188  70대이상  M      요식/유흥  1131475  31606189857\n",
       "189  70대이상  M         유통  1311913  34426740237\n",
       "190  70대이상  M      음/식료품   231540   9013250809\n",
       "191  70대이상  M         의료   845046  43020621077\n",
       "192  70대이상  M      의류/잡화    38852   3594268609\n",
       "193  70대이상  M        자동차    47413   8734063534\n",
       "194  70대이상  M      전자상거래    91137   8095911088\n",
       "195  70대이상  M         주유   674540  24144144863\n",
       "\n",
       "[196 rows x 5 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfForRank=UPadd3_Df.reset_index()\n",
    "dfForRank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>연령대별</th>\n",
       "      <th>성별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "      <th>카드이용건수계순위</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>5172</td>\n",
       "      <td>125025694</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>58907</td>\n",
       "      <td>561587109</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>35061</td>\n",
       "      <td>513691492</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>37726</td>\n",
       "      <td>660118453</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>140748</td>\n",
       "      <td>1454812746</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>24150</td>\n",
       "      <td>679650464</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>723645</td>\n",
       "      <td>7850769450</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>642539</td>\n",
       "      <td>3908675974</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>43877</td>\n",
       "      <td>278949187</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>38447</td>\n",
       "      <td>769802110</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>59198</td>\n",
       "      <td>1231897490</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>370</td>\n",
       "      <td>3666560</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>171484</td>\n",
       "      <td>3639183038</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>925</td>\n",
       "      <td>23917022</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>6514</td>\n",
       "      <td>132135343</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>100943</td>\n",
       "      <td>811707329</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>17564</td>\n",
       "      <td>400632474</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>27670</td>\n",
       "      <td>458056924</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>457480</td>\n",
       "      <td>2547125066</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>23416</td>\n",
       "      <td>690496023</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>607551</td>\n",
       "      <td>7485434981</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>745922</td>\n",
       "      <td>3864760895</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>45626</td>\n",
       "      <td>256789921</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>30868</td>\n",
       "      <td>425514815</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>16426</td>\n",
       "      <td>602091254</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>900</td>\n",
       "      <td>15642778</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>127269</td>\n",
       "      <td>2979633398</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>7711</td>\n",
       "      <td>86277601</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>136517</td>\n",
       "      <td>12552423636</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>998660</td>\n",
       "      <td>43436399608</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>342420</td>\n",
       "      <td>29616258641</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>1589551</td>\n",
       "      <td>67352112206</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>19601</td>\n",
       "      <td>4929256297</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>196381</td>\n",
       "      <td>10249722936</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>10806</td>\n",
       "      <td>910356904</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>63955</td>\n",
       "      <td>3249821960</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>55894</td>\n",
       "      <td>3991312620</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>39015</td>\n",
       "      <td>3789093841</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>642635</td>\n",
       "      <td>17086414114</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>1254410</td>\n",
       "      <td>40354584588</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>274012</td>\n",
       "      <td>10578752064</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>596170</td>\n",
       "      <td>30969072368</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>53387</td>\n",
       "      <td>5649639592</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>13246</td>\n",
       "      <td>2599771208</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>149591</td>\n",
       "      <td>13748193110</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>59334</td>\n",
       "      <td>2932626818</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>26173</td>\n",
       "      <td>5974001830</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>268645</td>\n",
       "      <td>15883629772</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>17707</td>\n",
       "      <td>1054267887</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>59538</td>\n",
       "      <td>1897200486</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>79726</td>\n",
       "      <td>4925652479</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>79409</td>\n",
       "      <td>8799983419</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>1131475</td>\n",
       "      <td>31606189857</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>1311913</td>\n",
       "      <td>34426740237</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>231540</td>\n",
       "      <td>9013250809</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>845046</td>\n",
       "      <td>43020621077</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>38852</td>\n",
       "      <td>3594268609</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>47413</td>\n",
       "      <td>8734063534</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>91137</td>\n",
       "      <td>8095911088</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>674540</td>\n",
       "      <td>24144144863</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      연령대별 성별     CLASS1  카드이용건수계      카드이용금액계  카드이용건수계순위\n",
       "0      10대  F      가전/가구     5172    125025694       12.0\n",
       "1      10대  F   가정생활/서비스    58907    561587109        6.0\n",
       "2      10대  F      교육/학원    35061    513691492       10.0\n",
       "3      10대  F         미용    37726    660118453        9.0\n",
       "4      10대  F  스포츠/문화/레저   140748   1454812746        4.0\n",
       "5      10대  F      여행/교통    24150    679650464       11.0\n",
       "6      10대  F      요식/유흥   723645   7850769450        1.0\n",
       "7      10대  F         유통   642539   3908675974        2.0\n",
       "8      10대  F      음/식료품    43877    278949187        7.0\n",
       "9      10대  F         의료    38447    769802110        8.0\n",
       "10     10대  F      의류/잡화    59198   1231897490        5.0\n",
       "11     10대  F        자동차      370      3666560       14.0\n",
       "12     10대  F      전자상거래   171484   3639183038        3.0\n",
       "13     10대  F         주유      925     23917022       13.0\n",
       "14     10대  M      가전/가구     6514    132135343       13.0\n",
       "15     10대  M   가정생활/서비스   100943    811707329        5.0\n",
       "16     10대  M      교육/학원    17564    400632474       10.0\n",
       "17     10대  M         미용    27670    458056924        8.0\n",
       "18     10대  M  스포츠/문화/레저   457480   2547125066        3.0\n",
       "19     10대  M      여행/교통    23416    690496023        9.0\n",
       "20     10대  M      요식/유흥   607551   7485434981        2.0\n",
       "21     10대  M         유통   745922   3864760895        1.0\n",
       "22     10대  M      음/식료품    45626    256789921        6.0\n",
       "23     10대  M         의료    30868    425514815        7.0\n",
       "24     10대  M      의류/잡화    16426    602091254       11.0\n",
       "25     10대  M        자동차      900     15642778       14.0\n",
       "26     10대  M      전자상거래   127269   2979633398        4.0\n",
       "27     10대  M         주유     7711     86277601       12.0\n",
       "28     20대  F      가전/가구   136517  12552423636       12.0\n",
       "29     20대  F   가정생활/서비스   998660  43436399608        6.0\n",
       "..     ... ..        ...      ...          ...        ...\n",
       "166    60대  M      전자상거래   342420  29616258641        7.0\n",
       "167    60대  M         주유  1589551  67352112206        3.0\n",
       "168  70대이상  F      가전/가구    19601   4929256297       12.0\n",
       "169  70대이상  F   가정생활/서비스   196381  10249722936        5.0\n",
       "170  70대이상  F      교육/학원    10806    910356904       14.0\n",
       "171  70대이상  F         미용    63955   3249821960        7.0\n",
       "172  70대이상  F  스포츠/문화/레저    55894   3991312620        9.0\n",
       "173  70대이상  F      여행/교통    39015   3789093841       11.0\n",
       "174  70대이상  F      요식/유흥   642635  17086414114        2.0\n",
       "175  70대이상  F         유통  1254410  40354584588        1.0\n",
       "176  70대이상  F      음/식료품   274012  10578752064        4.0\n",
       "177  70대이상  F         의료   596170  30969072368        3.0\n",
       "178  70대이상  F      의류/잡화    53387   5649639592       10.0\n",
       "179  70대이상  F        자동차    13246   2599771208       13.0\n",
       "180  70대이상  F      전자상거래   149591  13748193110        6.0\n",
       "181  70대이상  F         주유    59334   2932626818        8.0\n",
       "182  70대이상  M      가전/가구    26173   5974001830       13.0\n",
       "183  70대이상  M   가정생활/서비스   268645  15883629772        5.0\n",
       "184  70대이상  M      교육/학원    17707   1054267887       14.0\n",
       "185  70대이상  M         미용    59538   1897200486       10.0\n",
       "186  70대이상  M  스포츠/문화/레저    79726   4925652479        8.0\n",
       "187  70대이상  M      여행/교통    79409   8799983419        9.0\n",
       "188  70대이상  M      요식/유흥  1131475  31606189857        2.0\n",
       "189  70대이상  M         유통  1311913  34426740237        1.0\n",
       "190  70대이상  M      음/식료품   231540   9013250809        6.0\n",
       "191  70대이상  M         의료   845046  43020621077        3.0\n",
       "192  70대이상  M      의류/잡화    38852   3594268609       12.0\n",
       "193  70대이상  M        자동차    47413   8734063534       11.0\n",
       "194  70대이상  M      전자상거래    91137   8095911088        7.0\n",
       "195  70대이상  M         주유   674540  24144144863        4.0\n",
       "\n",
       "[196 rows x 6 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfForRank['카드이용건수계순위']=dfForRank.groupby(['연령대별','성별'])['카드이용건수계'].rank(ascending=False)\n",
    "dfForRank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "('연령대별', '성별', 'CLASS1', '카드이용금액계순위')",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2656\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2657\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: ('연령대별', '성별', 'CLASS1', '카드이용금액계순위')",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-54-c84e574bcf09>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mdfForRank\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'카드이용금액계순위'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdfForRank\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'연령대별'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'성별'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'카드이용금액계'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrank\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mascending\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdfForRank\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'연령대별'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'성별'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'CLASS1'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'카드이용금액계순위'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2925\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2926\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2927\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2928\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2929\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2657\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2659\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2660\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2661\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: ('연령대별', '성별', 'CLASS1', '카드이용금액계순위')"
     ]
    }
   ],
   "source": [
    "dfForRank['카드이용금액계순위']=dfForRank.groupby(['연령대별','성별'])['카드이용금액계'].rank(ascending=False)\n",
    "df = dfForRank['연령대별', '성별', 'CLASS1', '카드이용금액계순위']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "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>연령대별</th>\n",
       "      <th>성별</th>\n",
       "      <th>CLASS1</th>\n",
       "      <th>카드이용건수계순위</th>\n",
       "      <th>카드이용금액계순위</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10대</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>12.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20대</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>60대</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>미용</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>유통</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의료</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>자동차</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>F</td>\n",
       "      <td>주유</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가전/가구</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>가정생활/서비스</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>교육/학원</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>미용</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>스포츠/문화/레저</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>여행/교통</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>요식/유흥</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>유통</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>음/식료품</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의료</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>의류/잡화</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>자동차</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>전자상거래</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>70대이상</td>\n",
       "      <td>M</td>\n",
       "      <td>주유</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      연령대별 성별     CLASS1  카드이용건수계순위  카드이용금액계순위\n",
       "0      10대  F      가전/가구       12.0       12.0\n",
       "1      10대  F   가정생활/서비스        6.0        9.0\n",
       "2      10대  F      교육/학원       10.0       10.0\n",
       "3      10대  F         미용        9.0        8.0\n",
       "4      10대  F  스포츠/문화/레저        4.0        4.0\n",
       "5      10대  F      여행/교통       11.0        7.0\n",
       "6      10대  F      요식/유흥        1.0        1.0\n",
       "7      10대  F         유통        2.0        2.0\n",
       "8      10대  F      음/식료품        7.0       11.0\n",
       "9      10대  F         의료        8.0        6.0\n",
       "10     10대  F      의류/잡화        5.0        5.0\n",
       "11     10대  F        자동차       14.0       14.0\n",
       "12     10대  F      전자상거래        3.0        3.0\n",
       "13     10대  F         주유       13.0       13.0\n",
       "14     10대  M      가전/가구       13.0       12.0\n",
       "15     10대  M   가정생활/서비스        5.0        5.0\n",
       "16     10대  M      교육/학원       10.0       10.0\n",
       "17     10대  M         미용        8.0        8.0\n",
       "18     10대  M  스포츠/문화/레저        3.0        4.0\n",
       "19     10대  M      여행/교통        9.0        6.0\n",
       "20     10대  M      요식/유흥        2.0        1.0\n",
       "21     10대  M         유통        1.0        2.0\n",
       "22     10대  M      음/식료품        6.0       11.0\n",
       "23     10대  M         의료        7.0        9.0\n",
       "24     10대  M      의류/잡화       11.0        7.0\n",
       "25     10대  M        자동차       14.0       14.0\n",
       "26     10대  M      전자상거래        4.0        3.0\n",
       "27     10대  M         주유       12.0       13.0\n",
       "28     20대  F      가전/가구       12.0       10.0\n",
       "29     20대  F   가정생활/서비스        6.0        5.0\n",
       "..     ... ..        ...        ...        ...\n",
       "166    60대  M      전자상거래        7.0        7.0\n",
       "167    60대  M         주유        3.0        3.0\n",
       "168  70대이상  F      가전/가구       12.0        8.0\n",
       "169  70대이상  F   가정생활/서비스        5.0        6.0\n",
       "170  70대이상  F      교육/학원       14.0       14.0\n",
       "171  70대이상  F         미용        7.0       11.0\n",
       "172  70대이상  F  스포츠/문화/레저        9.0        9.0\n",
       "173  70대이상  F      여행/교통       11.0       10.0\n",
       "174  70대이상  F      요식/유흥        2.0        3.0\n",
       "175  70대이상  F         유통        1.0        1.0\n",
       "176  70대이상  F      음/식료품        4.0        5.0\n",
       "177  70대이상  F         의료        3.0        2.0\n",
       "178  70대이상  F      의류/잡화       10.0        7.0\n",
       "179  70대이상  F        자동차       13.0       13.0\n",
       "180  70대이상  F      전자상거래        6.0        4.0\n",
       "181  70대이상  F         주유        8.0       12.0\n",
       "182  70대이상  M      가전/가구       13.0       10.0\n",
       "183  70대이상  M   가정생활/서비스        5.0        5.0\n",
       "184  70대이상  M      교육/학원       14.0       14.0\n",
       "185  70대이상  M         미용       10.0       13.0\n",
       "186  70대이상  M  스포츠/문화/레저        8.0       11.0\n",
       "187  70대이상  M      여행/교통        9.0        7.0\n",
       "188  70대이상  M      요식/유흥        2.0        3.0\n",
       "189  70대이상  M         유통        1.0        2.0\n",
       "190  70대이상  M      음/식료품        6.0        6.0\n",
       "191  70대이상  M         의료        3.0        1.0\n",
       "192  70대이상  M      의류/잡화       12.0       12.0\n",
       "193  70대이상  M        자동차       11.0        8.0\n",
       "194  70대이상  M      전자상거래        7.0        9.0\n",
       "195  70대이상  M         주유        4.0        4.0\n",
       "\n",
       "[196 rows x 5 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfForRank2 =dfForRank.drop([\"카드이용건수계\",\"카드이용금액계\"],axis=1)\n",
    "dfForRank2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfForRank2.to_csv('연령별성별응용집계.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'연령대별'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2656\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2657\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: '연령대별'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-38-7d7401cbbbd5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdataf\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mUPadd3_Df\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mUPadd3_Df\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'연령대별'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m==\u001b[0m \u001b[1;34m'10대'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdataf\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   2925\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2926\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2927\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2928\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2929\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   2657\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2658\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2659\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2660\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2661\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: '연령대별'"
     ]
    }
   ],
   "source": [
    "dataf= UPadd3_Df[UPadd3_Df['연령대별']== '10대']\n",
    "dataf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>카드이용건수계</th>\n",
       "      <th>카드이용금액계</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CLASS1</th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"14\" valign=\"top\">가전/가구</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">10대</th>\n",
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       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">40대</th>\n",
       "      <th>F</th>\n",
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       "      <td>98.5</td>\n",
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       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
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       "      <td>98.5</td>\n",
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       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">20대</th>\n",
       "      <th>F</th>\n",
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       "      <td>98.5</td>\n",
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       "    <tr>\n",
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       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">30대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">40대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">60대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">70대이상</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">교육/학원</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">10대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
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       "      <th rowspan=\"2\" valign=\"top\">자동차</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">70대이상</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">전자상거래</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">10대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">20대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">30대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">40대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">60대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">70대이상</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"14\" valign=\"top\">주유</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">10대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">20대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">30대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">40대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">50대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">60대</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">70대이상</th>\n",
       "      <th>F</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>98.5</td>\n",
       "      <td>98.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   카드이용건수계  카드이용금액계\n",
       "CLASS1   연령대별  성별                  \n",
       "가전/가구    10대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         20대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         30대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         40대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         50대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         60대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         70대이상 F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "가정생활/서비스 10대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         20대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         30대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         40대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         50대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         60대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         70대이상 F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "교육/학원    10대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "...                    ...      ...\n",
       "자동차      70대이상 F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "전자상거래    10대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         20대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         30대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         40대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         50대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         60대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         70대이상 F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "주유       10대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         20대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         30대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         40대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         50대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         60대   F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "         70대이상 F      98.5     98.5\n",
       "               M      98.5     98.5\n",
       "\n",
       "[196 rows x 2 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rank_df=UPadd3_Df.rank(axis=0)\n",
    "rank_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "UPadd3_Df.to_csv('업종연령.csv')"
   ]
  }
 ],
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