모두카페 꼼꼼히 살펴보기.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1ee81f87",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 필요 라이브러리 호출하기\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# jupyter notebook 내 그래프를 바로 그리기 위한 설정\n",
    "%matplotlib inline\n",
    "\n",
    "# unicode minus를 사용하지 않기 위한 설정 (minus 깨짐현상 방지)\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "\n",
    "plt.style.use('default')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "adeabef4",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['STIXSizeOneSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'DejaVu Serif',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXNonUnicode',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXSizeThreeSym',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXGeneral',\n",
       " 'cmmi10',\n",
       " 'cmtt10',\n",
       " 'cmss10',\n",
       " 'cmsy10',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Serif Display',\n",
       " 'STIXGeneral',\n",
       " 'STIXSizeFourSym',\n",
       " 'cmex10',\n",
       " 'STIXGeneral',\n",
       " 'cmb10',\n",
       " 'DejaVu Sans Mono',\n",
       " 'STIXSizeFourSym',\n",
       " 'cmr10',\n",
       " 'DejaVu Serif',\n",
       " 'STIXGeneral',\n",
       " 'DejaVu Sans Display',\n",
       " 'DejaVu Serif',\n",
       " 'STIXNonUnicode',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'STIXSizeFiveSym',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans',\n",
       " 'STIXSizeTwoSym',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeThreeSym',\n",
       " 'Quicksand Medium',\n",
       " 'Ubuntu',\n",
       " 'DejaVu Serif',\n",
       " 'URW Bookman',\n",
       " 'URW Gothic',\n",
       " 'P052',\n",
       " 'Ubuntu Mono',\n",
       " 'Ubuntu',\n",
       " 'Nimbus Mono PS',\n",
       " 'Liberation Sans Narrow',\n",
       " 'Liberation Sans',\n",
       " 'Nimbus Roman',\n",
       " 'P052',\n",
       " 'Quicksand',\n",
       " 'DejaVu Sans',\n",
       " 'NanumSquare',\n",
       " 'DejaVu Sans',\n",
       " 'Nimbus Roman',\n",
       " 'Nimbus Mono PS',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'Ubuntu Condensed',\n",
       " 'Liberation Serif',\n",
       " 'Ubuntu',\n",
       " 'DejaVu Sans',\n",
       " 'C059',\n",
       " 'DejaVu Sans',\n",
       " 'NanumSquareRound',\n",
       " 'URW Bookman',\n",
       " 'Nimbus Roman',\n",
       " 'Ubuntu',\n",
       " 'Liberation Mono',\n",
       " 'DejaVu Sans',\n",
       " 'Nimbus Roman',\n",
       " 'Nimbus Sans',\n",
       " 'Nimbus Sans Narrow',\n",
       " 'NanumBarunGothic',\n",
       " 'DejaVu Serif',\n",
       " 'D050000L',\n",
       " 'Nimbus Sans',\n",
       " 'DejaVu Sans',\n",
       " 'Liberation Serif',\n",
       " 'DejaVu Sans',\n",
       " 'Liberation Serif',\n",
       " 'Z003',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Liberation Mono',\n",
       " 'Liberation Sans Narrow',\n",
       " 'URW Bookman',\n",
       " 'DejaVu Serif',\n",
       " 'Standard Symbols PS',\n",
       " 'Liberation Sans',\n",
       " 'Ubuntu',\n",
       " 'Liberation Mono',\n",
       " 'Liberation Sans Narrow',\n",
       " 'Ubuntu',\n",
       " 'DejaVu Math TeX Gyre',\n",
       " 'DejaVu Serif',\n",
       " 'Nimbus Sans',\n",
       " 'Ubuntu',\n",
       " 'Quicksand',\n",
       " 'Liberation Sans Narrow',\n",
       " 'DejaVu Sans Mono',\n",
       " 'NanumBarunGothic',\n",
       " 'Nimbus Sans Narrow',\n",
       " 'URW Gothic',\n",
       " 'URW Gothic',\n",
       " 'NanumGothic',\n",
       " 'Nimbus Mono PS',\n",
       " 'Ubuntu',\n",
       " 'NanumSquareRound',\n",
       " 'Nimbus Mono PS',\n",
       " 'Quicksand Light',\n",
       " 'C059',\n",
       " 'Droid Sans Fallback',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif',\n",
       " 'Ubuntu Mono',\n",
       " 'Liberation Serif',\n",
       " 'Liberation Mono',\n",
       " 'Ubuntu',\n",
       " 'DejaVu Serif',\n",
       " 'Ubuntu Mono',\n",
       " 'P052',\n",
       " 'NanumMyeongjo',\n",
       " 'DejaVu Sans',\n",
       " 'Nimbus Sans Narrow',\n",
       " 'Nimbus Sans',\n",
       " 'URW Bookman',\n",
       " 'URW Gothic',\n",
       " 'C059',\n",
       " 'Nimbus Sans Narrow',\n",
       " 'Liberation Sans',\n",
       " 'NanumMyeongjo',\n",
       " 'NanumGothic',\n",
       " 'NanumSquare',\n",
       " 'DejaVu Sans Mono',\n",
       " 'Liberation Sans',\n",
       " 'C059',\n",
       " 'P052',\n",
       " 'Ubuntu Mono',\n",
       " 'Noto Mono']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.font_manager as fm\n",
    "\n",
    "# 설치된 폰트 출력\n",
    "font_list = [font.name for font in fm.fontManager.ttflist]\n",
    "font_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "45e083c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.family'] = 'NanumGothic'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04192433",
   "metadata": {},
   "source": [
    "# 1. 데이터 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "36f54347",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터 호출하기\n",
    "entry_data = pd.read_csv('/aiffel/data/entry_data.csv')\n",
    "sales_data = pd.read_csv('/aiffel/data/sales_data.csv')\n",
    "item_data = pd.read_csv('/aiffel/data/item_data.csv')\n",
    "item_entry_data = pd.read_csv('/aiffel/data/item_entry_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d87a0318",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>요금제명</th>\n",
       "      <th>입실</th>\n",
       "      <th>퇴실</th>\n",
       "      <th>이용</th>\n",
       "      <th>위치</th>\n",
       "      <th>금액</th>\n",
       "      <th>구분</th>\n",
       "      <th>고객</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>시간요금제(1시간)</td>\n",
       "      <td>2022-04-01 23:39</td>\n",
       "      <td>2022-04-02 0:39</td>\n",
       "      <td>오전 1:00:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>3000</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer263717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>시간요금제(1시간)</td>\n",
       "      <td>2022-04-01 23:39</td>\n",
       "      <td>2022-04-02 0:39</td>\n",
       "      <td>오전 1:00:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>3000</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer263717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>무제한 입장권</td>\n",
       "      <td>2022-04-01 20:55</td>\n",
       "      <td>2022-04-01 21:41</td>\n",
       "      <td>오전 12:46:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer247263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>무제한 입장권</td>\n",
       "      <td>2022-04-01 20:55</td>\n",
       "      <td>2022-04-01 21:41</td>\n",
       "      <td>오전 12:46:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer247263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>한국대생 무제한 입장권</td>\n",
       "      <td>2022-04-01 19:54</td>\n",
       "      <td>2022-04-01 22:28</td>\n",
       "      <td>오전 2:33:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer388928</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           요금제명                입실                퇴실           이용    위치    금액  \\\n",
       "0    시간요금제(1시간)  2022-04-01 23:39   2022-04-02 0:39   오전 1:00:00  선불기2  3000   \n",
       "1    시간요금제(1시간)  2022-04-01 23:39   2022-04-02 0:39   오전 1:00:00  선불기2  3000   \n",
       "2       무제한 입장권  2022-04-01 20:55  2022-04-01 21:41  오전 12:46:00  선불기2  7400   \n",
       "3       무제한 입장권  2022-04-01 20:55  2022-04-01 21:41  오전 12:46:00  선불기2  7400   \n",
       "4  한국대생 무제한 입장권  2022-04-01 19:54  2022-04-01 22:28   오전 2:33:00  선불기2  7400   \n",
       "\n",
       "   구분              고객  \n",
       "0  퇴실  customer263717  \n",
       "1  퇴실  customer263717  \n",
       "2  퇴실  customer247263  \n",
       "3  퇴실  customer247263  \n",
       "4  퇴실  customer388928  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# entry_data 데이터 정보 확인하기\n",
    "entry_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "63d6d293",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>결제일시</th>\n",
       "      <th>판매위치</th>\n",
       "      <th>상품명</th>\n",
       "      <th>결제방식</th>\n",
       "      <th>비고</th>\n",
       "      <th>판매수량</th>\n",
       "      <th>결제금액</th>\n",
       "      <th>고객</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>치킨카라아케 6pc</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4,500</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>짜장라면(계란추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5,500</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>비엔나소세지(토핑)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>1,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면(계란/치즈추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               결제일시  판매위치          상품명  결제방식    비고  판매수량   결제금액  \\\n",
       "0  2022-04-01 19:41  선불기1   치킨카라아케 6pc  신용카드  결제완료     1  4,500   \n",
       "1  2022-04-01 19:41  선불기1   짜장라면(계란추가)  신용카드  결제완료     1  5,500   \n",
       "2  2022-04-01 19:41  선불기1           라면  신용카드  결제완료     1  4,000   \n",
       "3  2022-04-01 19:41  선불기1   비엔나소세지(토핑)  신용카드  결제완료     1  1,000   \n",
       "4  2022-04-01 19:41  선불기1  라면(계란/치즈추가)  신용카드  결제완료     1  5,000   \n",
       "\n",
       "               고객  \n",
       "0  customer275507  \n",
       "1  customer275507  \n",
       "2  customer275507  \n",
       "3  customer275507  \n",
       "4  customer275507  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sales_data 데이터 정보 확인하기\n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e24b13db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>분류</th>\n",
       "      <th>상품명</th>\n",
       "      <th>판매금액</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>게임&amp;TV</td>\n",
       "      <td>이어폰(커널형)</td>\n",
       "      <td>3,000원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>디저트</td>\n",
       "      <td>초코머핀</td>\n",
       "      <td>3,500원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>디저트</td>\n",
       "      <td>쿠키(초코칩)</td>\n",
       "      <td>1,500원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>디저트</td>\n",
       "      <td>쿠키(마카다미아)</td>\n",
       "      <td>1,500원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>디저트</td>\n",
       "      <td>미니마카롱(3개)</td>\n",
       "      <td>2,000원</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   구분     분류        상품명    판매금액\n",
       "0   1  게임&TV   이어폰(커널형)  3,000원\n",
       "1   2    디저트       초코머핀  3,500원\n",
       "2   3    디저트    쿠키(초코칩)  1,500원\n",
       "3   4    디저트  쿠키(마카다미아)  1,500원\n",
       "4   5    디저트  미니마카롱(3개)  2,000원"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# item_data 데이터 정보 확인하기\n",
    "item_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "9b8388e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>순위</th>\n",
       "      <th>분류</th>\n",
       "      <th>상품명</th>\n",
       "      <th>판매금액</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>한국대생</td>\n",
       "      <td>한국대생 요금제</td>\n",
       "      <td>2,000원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>심야-조조</td>\n",
       "      <td>심야-조조 요금제</td>\n",
       "      <td>5,000원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>일반인</td>\n",
       "      <td>일반요금제</td>\n",
       "      <td>2,500원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>한국대생</td>\n",
       "      <td>한국대생 요금제</td>\n",
       "      <td>2,500원</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>일반인</td>\n",
       "      <td>일반요금제</td>\n",
       "      <td>2,000원</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   순위     분류        상품명    판매금액\n",
       "0   1   한국대생   한국대생 요금제  2,000원\n",
       "1   2  심야-조조  심야-조조 요금제  5,000원\n",
       "2   3    일반인      일반요금제  2,500원\n",
       "3   4   한국대생   한국대생 요금제  2,500원\n",
       "4   5    일반인      일반요금제  2,000원"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# item_entry_data 데이터 정보 확인하기\n",
    "item_entry_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9176a7d",
   "metadata": {},
   "source": [
    "# 2. 데이터 분석하기\n",
    "## 2-1. 월별 매출액 추세\n",
    "필수 문제1 : 월별 매출액 추세(sales_data를 이용합니다.)\n",
    "\n",
    "월별 매출액 추세를 집계하고 그 결과를 시각화해봅니다.\n",
    "\n",
    "힌트: groupby() 함수를 사용하세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9f069125",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "결제일시    object\n",
       "판매위치    object\n",
       "상품명     object\n",
       "결제방식    object\n",
       "비고      object\n",
       "판매수량     int64\n",
       "결제금액    object\n",
       "고객      object\n",
       "dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "56664a4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_data['결제일시'] = sales_data['결제일시'].apply(lambda x: str(x)[:7])\n",
    "sales_data['결제금액'] = sales_data['결제금액'].str.replace(',','').astype(int)\n",
    "month_payment = sales_data.groupby('결제일시')['결제금액'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "ad84527a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "결제일시\n",
       "2021-02       7000\n",
       "2021-03    2104500\n",
       "2021-04    3116600\n",
       "2021-05    2537000\n",
       "2021-06    3621500\n",
       "2021-07    1215000\n",
       "2021-08    1229000\n",
       "2021-09    1197500\n",
       "2021-10    2138500\n",
       "2021-11    2748500\n",
       "2021-12    3290000\n",
       "2022-01    1430500\n",
       "2022-02    1181500\n",
       "2022-03    1870900\n",
       "2022-04      49900\n",
       "Name: 결제금액, dtype: int64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_payment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ee65d146",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,6))\n",
    "sns.barplot(x = month_payment.index, y = month_payment.values)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('매출액')\n",
    "plt.title('월별매출액')\n",
    "\n",
    "# Y축의 단위 표현을 숫자 그대로 표현하기\n",
    "yticks = np.arange(0, month_payment.max(), 500000)\n",
    "plt.yticks(yticks, yticks.astype(int))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b8d410b",
   "metadata": {},
   "source": [
    "## 2-2. 가장 인기 있는 음식/음료(sales_data를 이용합니다.)\n",
    "\n",
    "여러 메뉴들(음식,음료)을 판매 개수 순으로 정렬하고 상위 10개를 뽑아 결과를 시각화해봅니다.\n",
    "\n",
    "힌트: value_counts() 함수를 사용하세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c009bea9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>결제일시</th>\n",
       "      <th>판매위치</th>\n",
       "      <th>상품명</th>\n",
       "      <th>결제방식</th>\n",
       "      <th>비고</th>\n",
       "      <th>판매수량</th>\n",
       "      <th>결제금액</th>\n",
       "      <th>고객</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>치킨카라아케 6pc</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4500</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>짜장라면(계란추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5500</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>비엔나소세지(토핑)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>1000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면(계란/치즈추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      결제일시  판매위치          상품명  결제방식    비고  판매수량  결제금액              고객\n",
       "0  2022-04  선불기1   치킨카라아케 6pc  신용카드  결제완료     1  4500  customer275507\n",
       "1  2022-04  선불기1   짜장라면(계란추가)  신용카드  결제완료     1  5500  customer275507\n",
       "2  2022-04  선불기1           라면  신용카드  결제완료     1  4000  customer275507\n",
       "3  2022-04  선불기1   비엔나소세지(토핑)  신용카드  결제완료     1  1000  customer275507\n",
       "4  2022-04  선불기1  라면(계란/치즈추가)  신용카드  결제완료     1  5000  customer275507"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d8fdecf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " 1    6945\n",
       "-1     160\n",
       "Name: 판매수량, dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data['판매수량'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4da25e6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "김치볶음밥           1211\n",
       "라면               756\n",
       "짜장라면             457\n",
       "치즈불고기볶음밥         423\n",
       "계란추가             315\n",
       "                ... \n",
       "녹차(HOT)            1\n",
       "짜장라면(계란추가)         1\n",
       "이어폰(커널형)           1\n",
       "오늘은 한돈고추장불고기       1\n",
       "오늘은 한돈간장불고기        1\n",
       "Name: 상품명, Length: 100, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data['상품명'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "de1e10b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_data1 = sales_data[sales_data['판매수량']==1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "02cb1c2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "items_count = pd.DataFrame(sales_data1['상품명'].value_counts()[:10])\n",
    "items_count.columns = ['판매량']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9effbc25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>판매량</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>김치볶음밥</th>\n",
       "      <td>1204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>라면</th>\n",
       "      <td>749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>짜장라면</th>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>치즈불고기볶음밥</th>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>계란추가</th>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>낙지볶음밥</th>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>새우볶음밥</th>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>아메리카노(ICE)</th>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>치즈감자튀김</th>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>감자튀김</th>\n",
       "      <td>242</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             판매량\n",
       "김치볶음밥       1204\n",
       "라면           749\n",
       "짜장라면         455\n",
       "치즈불고기볶음밥     420\n",
       "계란추가         314\n",
       "낙지볶음밥        312\n",
       "새우볶음밥        309\n",
       "아메리카노(ICE)   284\n",
       "치즈감자튀김       246\n",
       "감자튀김         242"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "items_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "badf1322",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADGN7mZ83b56cTqcOHTrkNn3fvn1q2rSp6tatq3r16unDDz90m5+VlaUBAwaoVq1aqlWrlp599llduHDBbZnly5erXr16qlu3rpo0aaI9e/Z4++UAAAAAAOB1tpb5559/Xu+//74iIyOVnZ3tmp6RkaEOHTpo/PjxSkpK0urVqzVy5Ejt2rXLtcyYMWOUmZmp3bt3a/fu3bIsS6NHj3bN37Nnj4YOHaqVK1cqKSlJEyZM0EMPPaT09PRifY0AAAAAAHiabWU+NzdX5cuX1yeffKLg4GC3eWvWrFG9evXUtGlTSVK5cuU0ZMgQzZs3z/XYhQsXatKkSfLz85Ofn58mTJigxYsXKycnR5L0r3/9S4MHD1aFChUkSY0bN1bDhg312WefFeOrBAAAAADA82wr835+furbt6/8/f3zzFu3bp2ryF/UtGlTrV27VpKUlJSkChUqqEyZMq754eHhuuWWW7Rjx45CPUd+MjMzlZqa6nYDAAAAAKCksf038/k5duyYoqOj3aZFR0frxx9/LHB+YZb58/z8TJw4UREREa5bfn8DAAAAAAC7lcgyn5KSkufQ++DgYGVkZMiyrHznX1zm/Pnzl32Oi/PzM3LkSJ05c8Z1S05O9sCrAQAAAADAswLsDpAfp9OpjIwMt2np6elyOp1yOBz5zr+4TEhIiNtzBAYG5ju/oL/rdDo99CoAAAAAAPCOErlnPioqSkeOHHGblpycrKioqALnF2aZP88HAAAAAMBUJbLMx8XFaePGjW7TNm7cqLi4OElS3bp1deDAAaWkpLjmp6amav/+/apfv36hngMAAAAAAFOVyDLfuXNn/fe//3WV8V9++UVTp05VQkKCJCkkJETdunXTiBEjlJubK8uyNGrUKHXt2lWhoaGSpISEBE2bNk3Hjh2TJG3ZskVbtmxRly5d7HlRAAAAAAB4SIn4zXxQUJDbb9vDwsK0YsUK9e3bV2fPnlVubq7GjRunRo0auZaZPHmyBg4cqFq1akn64zryM2bMcM1v0KCBJkyYoLZt28rhcCg0NFTLly9XqVKliu+FAQAAAADgBQ7Lsiy7Q5RUqampioiI0JkzZxQeHm53nMuqNGKl3RFKnEOT2tkdAQAAAACuSmF7aIk8zB4AAAAAABSMMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABimRJf51NRU9e/fX7Gxsapbt67uvvturVu3zjV/3759atq0qerWrat69erpww8/dHt8VlaWBgwYoFq1aqlWrVp69tlndeHCheJ+GQAAAAAAeFSJLvNdunRR+fLl9c033ygpKUkzZszQk08+qcOHDysjI0MdOnTQ+PHjlZSUpNWrV2vkyJHatWuX6/FjxoxRZmamdu/erd27d8uyLI0ePdrGVwQAAAAAwLVzWJZl2R2iIEFBQfr9998VERHhmvbAAw/o6aefVkBAgBYvXqx3333XNW/u3Lnau3ev/vnPfyo3N1e33HKLvv32W5UpU0bSH3v6Y2JidOTIEfn7+1/x76empioiIkJnzpxReHi4x1+fJ1UasdLuCCXOoUnt7I4AAAAAAFelsD20RO+Z/9vf/qaXX37ZdX/Tpk364osvdOedd2rdunVq2rSp2/JNmzbV2rVrJUlJSUmqUKGCq8hLUnh4uG655Rbt2LEj37+XmZmp1NRUtxsAAAAAACVNiS7z8+fP17vvvqs2bdqof//+6tixoxYtWqSoqCgdO3ZM0dHRbstHR0frxx9/lKR851+6zKUmTpyoiIgI1y2/xwMAAAAAYLcSXeYrVqyohIQErV+/Xq+++qpat26thg0bSpJSUlIUHBzstnxwcLAyMjJkWVa+8y8uc/78+Xz/3siRI3XmzBnXLTk52fMvCgAAAACAa1Siy/wTTzyhBQsWaN26dfrhhx8UGBioOnXq6Oeff5bT6VRGRobb8unp6XI6nXI4HPnOv7hMSEhIvn/P6XQqPDzc7QYAAAAAQEkTYHeAghw8eFCrVq3S4cOHXSfAmz9/vrp3765Zs2YpKipKR44ccXtMcnKyoqKiJCnf+ZcuAwAAAACAiUrsnvnU1FRVqFDB7Uz2klS7dm2dPn1acXFx2rhxo9u8jRs3Ki4uTpJUt25dHThwQCkpKW7PuX//ftWvX9/r+QEAAAAA8JYSW+ZjY2NVunRpTZ8+Xbm5uZKkH374QW+88YaeeOIJde7cWf/9739dhf6XX37R1KlTlZCQIEkKCQlRt27dNGLECOXm5sqyLI0aNUpdu3ZVaGioba8LAAAAAIBrVWIPs/f399fKlSv13HPPqW7duvL391doaKimTJmiu+++W5K0YsUK9e3bV2fPnlVubq7GjRunRo0auZ5j8uTJGjhwoGrVqiVJaty4sWbMmGHL6wEAAAAAwFMclmVZdocoqVJTUxUREaEzZ86U+JPhVRqx0u4IJc6hSe3sjgAAAAAAV6WwPbTEHmYPAAAAAADyR5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADBNgdwCgJKs0YqXdEUqcQ5Pa2R0BAAAA+MtjzzwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIa5qjK/YMECZWVlaceOHXr99de9lQkAAAAAAFzGVZX5gwcPKisrS7///rv27dvnrUwAAAAAAOAyAgqzUO/evV175A8dOqRffvlFP//8s55++mkFBgZqzpw5mjt3rpYsWaKWLVtq9OjR3s4NAAAAAMBfVqHKfLt27ZSVlaV27drlmRcYGKjNmzdr9uzZevXVV/XSSy/p7bffVvfu3T2dFQAAAAAAqJBlvn379nmmbd68WV9++aWGDRum3r17a8qUKbr77rtVuXJlPf7445R5AAAAAAC8pNC/mU9NTdWRI0eUlpYmSSpVqpS2bt0qSdq7d68aNWokSapQoYJSUlI8nxQAAAAAAEgq5J55SYqJidF1112nU6dO6ejRo6pUqZKOHDkiSTp37pxCQkJcy+bk5Hg+KQAAAAAAkHQVe+YjIiK0e/duhYeHS5LKlCmjc+fOSZJuuukmHTt2TJJkWZYcDocXogIAAAAAAOkqL02X58F+fzy8efPmWrRokSTp448/1p133nntyQAAAAAAQL4KfZh9fi6W+V69eqlJkyZaunSp0tLS9Pnnn3siGwAAAAAAyEehy7xlWX88ICBA8+bNk5+fn+tEdxEREfr666/17bffqnr16ipVqpRXwgIAAAAAgKso8/3795ckjR07Vps2bZIkPffcc675QUFBql+/vofjAQAAAACASxW6zD/zzDOSpM6dO6tz585eCwQAAAAAAC7vmk6ABwAAAAAAil+h9sz36tVL2dnZhX7SwMBAzZkzp8ihAAAAAABAwQpV5uPj43XhwgXXfcuylJCQoFmzZuW7fGBgoGfSAQAAAACAPApV5lu1apVn2vDhw9WuXTuPBwIAAAAAAJdXqDJfsWJFpaenu+5blqWUlBTdeOONbstZlqWwsDAdOnTIoyEBAAAAAMD/KVSZP3z4sLdzAAAAAACAQir0pem++eYbffvtt7IsK8+8SpUqqUmTJh4NBgAAAAAA8lfoMv/UU0+pUaNGCgoKcptuWZYGDx6sEydOeDwcAAAAAADIq9BlPjMzs8DLza1fv95jgQAAAAAAwOX5FXZBh8NRpHkAAAAAAMCzCl3mJSknJyff6dnZ2R4JAwAAAAAArqzQZT42NlaRkZEKDw93u5UuXVpOp9Mr4dLT0zV27FjdcccdqlevnmJiYrRhwwbX/OPHj6tdu3aKjY1V7dq1NXv2bLfHW5alxMRE1apVS7fffrsee+wxpaameiUrAAAAAADFpdBl/p133lFqaqpSU1PVunVr17/T0tK0e/dujwfLzs7WfffdJz8/P33xxRf65ptvtHfvXrez5nfq1EmPP/64du7cqS+++EJvv/22Vq1a5Zo/d+5cbd26VTt27NC3336revXqqUePHh7PCgAAAABAcbqqw+wv2rt372Xn/+///m+RwvzZwoULFRERobFjx7r2/DscDgUE/HHOvl27diknJ0ddu3aVJJUuXVrjx4/X3LlzXc8xZ84cvfTSS67HDx06VP/973918uTJa84HAAAAAIBdCnU2+44dO7p+F29ZlpKTk9W+fXu3ZXr27KkHH3xQkpSQkKBdu3ZdU7ClS5dqwIABBc5ft26dmjZt6jbtnnvuUefOnWVZlk6dOqWjR48qJibGNd/Pz09xcXHasGGD4uPj8zxnZmamMjMzXfc5JB8AAAAAUBIVqswPHTpUWVlZbvcvddttt7n+bVnWNQfbuXOnQkJC1KlTJx04cEBly5bV8OHD1bZtW0nSsWPHVLFiRbfHhISEKDg4WL/99pt+//13RUVF5Xne6Oho/fjjj/n+zYkTJ2rcuHHXnB0AAAAAAG8qVJmPi4vTmTNnFBER4Zp28OBBLVy4MN/y64lL1Z08eVKJiYmaOXOmatSooV27dumBBx7QggUL1KxZM6WkpLh9gXBRcHCwzp8/r5SUFAUHBxc4Pz8jR47U4MGDXfdTU1MVHR19za8FAAAAAABPKvRv5i89pP2mm27yyG/jC+Ln56fhw4erRo0akqQ6depo0KBBmjdvniTJ6XQqIyMjz+PS09MVEhJyxfn5cTqdec7WDwAAAABASVOoPfOS9P333+vOO+903bcsSydOnPBKKEm68cYbVb16dbdp1apV05o1ayRJUVFROnLkiNv89PR0nT17VjfeeKMsy8ozX5KSk5MVGxvrtdwAAAAAAHhboct8dHS03nnnHdd9y7LUunVrr4SSpIYNG2r37t2qXLmya9qBAwdUrVo1SX8c+j9s2DC3x2zatEkNGzaUn5+fypcvr1KlSmnv3r2qWbOmJCk3N1ebN2/WhAkTvJYbAAAAAABvK/Rh9k6nU1WrVnXdqlWrppCQELcT413kiRPg9e3bV6NGjdIvv/wiSdq3b59mzJihhIQESVKTJk2UlZWlxYsXS5LS0tI0duxYPfvss67n6N+/v4YPH64LFy5IkqZOnarY2FhVqVLlmvMBAAAAAGCXQu+ZP3XqlOv36tIfhf3cuXM6e/asIiMj1axZM+3YsUOWZbntTS+qli1bauDAgWrSpIn8/PwUFham2bNnu35D73A49O9//1u9evXSpEmTlJOTox49erhdcm7gwIE6efKkYmNj5efnp5iYGM2fP/+aswEAAAAAYKdCl/nMzEx9++23bnvdL1y44Lr+/Oeff+7xcD169FCPHj0KnF+xYkV99tlnBc53OBxKTExUYmKix7MBAAAAAGCXQpf5cuXK6eWXX3ab9uWXX3rkMnQAAAAAAKDwCv2b+Yu/Tf+zxMRERUZGejQQAAAAAAC4vELvma9Tp06eaS1btvRoGAAAAAAAcGWF3jMPAAAAAABKBso8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhgmwOwCAv6ZKI1baHaHEOTSpnd0RAAAAYAj2zAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIYJsDsAAMBzKo1YaXeEEufQpHZ2RwAAAPA49swDAAAAAGAYyjwAAAAAAIYxoszv379fTqdT48aNc007fvy42rVrp9jYWNWuXVuzZ892e4xlWUpMTFStWrV0++2367HHHlNqampxRwcAAAAAwOOMKPMDBgxQ8+bNlZWV5ZrWqVMnPf7449q5c6e++OILvf3221q1apVr/ty5c7V161bt2LFD3377rerVq6cePXrYER8AAAAAAI8q8WV+2bJluummm9SoUSPXtF27diknJ0ddu3aVJJUuXVrjx4/X3LlzXcvMmTNHL730kpxOpyRp6NCh+u9//6uTJ08W7wsAAAAAAMDDSnSZP3/+vMaMGaNJkya5TV+3bp2aNm3qNu2ee+7Rhg0bZFmWTp48qaNHjyomJsY138/PT3FxcdqwYUOxZAcAAAAAwFtK9KXpJkyYoK5du6pChQpu048dO6aKFSu6TQsJCVFwcLB+++03/f7774qKisrzfNHR0frxxx8L/HuZmZnKzMx03ec39gAAAACAkqjE7pn/4YcftGzZMg0ePDjPvJSUFAUHB+eZHhwcrPPnz19xfkEmTpyoiIgI1y06OvraXgQAAAAAAF5QYsv8gAEDlJiYmG8pdzqdysjIyDM9PT1dISEhV5xfkJEjR+rMmTOuW3Jy8rW9CAAAAAAAvKBEHmb/6aef6vz58+rUqVO+86OionTkyBG3aenp6Tp79qxuvPFGWZaVZ74kJScnKzY2tsC/63Q6XSfMAwAAAACgpCqRZf6nn37Szz//rLp167qm/fLLL5L+KPrTpk3TsGHD3B6zadMmNWzYUH5+fipfvrxKlSqlvXv3qmbNmpKk3Nxcbd68WRMmTCi21wEAAAAAgDeUyMPsn3nmGX3//fdKSkpy3fr06aMePXpo27ZtatKkibKysrR48WJJUlpamsaOHatnn33W9Rz9+/fX8OHDdeHCBUnS1KlTFRsbqypVqtjymgAAAAAA8JQSuWc+P4GBgXI4HJIkh8Ohf//73+rVq5cmTZqknJwc9ejRQ/Hx8a7lBw4cqJMnTyo2NlZ+fn6KiYnR/Pnz7YoPAAAAAIDHGFPmn3vuObf7FStW1GeffVbg8g6HQ4mJiUpMTPR2NAAAAAAAilWJPMweAAAAAAAUjDIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AAAAAgGEo8wAAAAAAGIYyDwAAAACAYQLsDgAAQElXacRKuyOUOIcmtbM7AgAAf2mUeQAAYAu+JMmLL0kAAIVFmQcAAPAxfFGSF1+UAPA1/GYeAAAAAADDUOYBAAAAADAMZR4AAAAAAMNQ5gEAAAAAMAxlHgAAAAAAw1DmAQAAAAAwDGUeAAAAAADDUOYBAAAAADBMgN0BAAAAABNUGrHS7gglzqFJ7eyOAPxlsWceAAAAAADDUOYBAAAAADAMZR4AAAAAAMNQ5gEAAAAAMAxlHgAAAAAAw1DmAQAAAAAwDGUeAAAAAADDUOYBAAAAADAMZR4AAAAAAMNQ5gEAAAAAMAxlHgAAAAAAw1DmAQAAAAAwDGUeAAAAAADDBNgdAAAAAMBfV6URK+2OUOIcmtTO7ggwAGUeAAAAAHwMX5Lkz5e+KOEwewAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwJbrMr1q1Si1atFCdOnV0++23q0+fPjp//rxr/r59+9S0aVPVrVtX9erV04cffuj2+KysLA0YMEC1atVSrVq19Oyzz+rChQvF/TIAAAAAAPCoEl3mS5UqpQULFmjXrl1KSkpSWlqaxowZI0nKyMhQhw4dNH78eCUlJWn16tUaOXKkdu3a5Xr8mDFjlJmZqd27d2v37t2yLEujR4+26+UAAAAAAOARJbrMN2nSRDfffLMkKSAgQMOGDdOaNWskSWvWrFG9evXUtGlTSVK5cuU0ZMgQzZs3T5KUm5urhQsXatKkSfLz85Ofn58mTJigxYsXKycnx54XBAAAAACAB5ToMn+pU6dOKTg4WJK0bt06V5G/qGnTplq7dq0kKSkpSRUqVFCZMmVc88PDw3XLLbdox44dxZYZAAAAAABPM6rMz549W08++aQk6dixY4qOjnabHx0drR9//LHA+Zcuc6nMzEylpqa63QAAAAAAKGmMKfOfffaZkpKS1LNnT0lSSkqKay/9RcHBwcrIyJBlWfnOv7jMn0+i92cTJ05URESE65bflwEAAAAAANjNiDKfnJysXr16acmSJXI6nZIkp9OpjIwMt+XS09PldDrlcDjynX9xmZCQkHz/zsiRI3XmzBnXLTk52fMvBgAAAACAaxRgd4ArOXfunB566CElJiaqQYMGrulRUVE6cuSI27LJycmKiooqcP6ly1zK6XS6viwAAAAAAKCkKtF75nNycvToo4/qvvvu09///ne3eXFxcdq4caPbtI0bNyouLk6SVLduXR04cEApKSmu+ampqdq/f7/q16/v9ewAAAAAAHhLiS7zAwYMUEhIiF588cU88zp37qz//ve/rkL/yy+/aOrUqUpISJAkhYSEqFu3bhoxYoRyc3NlWZZGjRqlrl27KjQ0tFhfBwAAAAAAnlRiD7M/ffq0Zs6cqdtuu0316tVzTXc4HPr000910003acWKFerbt6/Onj2r3NxcjRs3To0aNXItO3nyZA0cOFC1atWSJDVu3FgzZswo9tcCAAAAAIAnldgyHxkZKcuyLrtMbGystmzZUuD84OBgzZ4929PRAAAAAACwVYk+zB4AAAAAAORFmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAxDmQcAAAAAwDCUeQAAAAAADEOZBwAAAADAMJR5AAAAAAAMQ5kHAAAAAMAwlHkAAAAAAAzzlyjzb7zxhmrXrq3Y2Fjdd999Onr0qN2RAAAAAAAoMp8v85999pnmzp2rzZs3a+fOnXrqqafUsWNHu2MBAAAAAFBkPl/m58yZo/HjxysiIkKS1KVLF/n7+yspKcneYAAAAAAAFJHPl/n169erSZMmbtOaNm2qtWvX2pQIAAAAAIBrE2B3AG86e/asAgICFBYW5jY9Ojpau3fvzrN8ZmamMjMzXffPnDkjSUpNTfVuUA/IzTxvd4QSxxP/vzGueXnqvwfGNi/es97BuHoH4+odrGO9h/esdzCu3sG4eo8J3e5iRsuyLrucw7rSEgb7+eef1ahRozwnvJs3b542btyo+fPnu01/4YUXNG7cuOKMCAAAAABAHsnJyYqKiipwvk/vmXc6ncrIyMgzPT09XSEhIXmmjxw5UoMHD3bdz83N1alTp3T99dfL4XB4NauvSE1NVXR0tJKTkxUeHm53HJ/BuHoH4+odjKv3MLbewbh6B+PqHYyr9zC23sG4Xj3LspSWlqYKFSpcdjmfLvNly5ZVenq6zp49q1KlSrmmF/QNh9PplNPpdJtWpkwZb8f0SeHh4fzH6gWMq3cwrt7BuHoPY+sdjKt3MK7ewbh6D2PrHYzr1bl4AvfL8ekT4DkcDjVq1EibNm1ym75x40bFxcXZlAoAAAAAgGvj02Vekvr3768xY8a4TiLw3nvv6dy5c2rWrJm9wQAAAAAAKCKfPsxekh5++GElJyfrrrvukp+fn8qVK6fly5fLz8/nv8ewhdPp1NixY/P8XAHXhnH1DsbVOxhX72FsvYNx9Q7G1TsYV+9hbL2DcfUenz6bPQAAAAAAvojd0wAAAAAAGIYyDwAAAACAYSjzAAAAAAAYhjIPAAAAAIBhKPMAAAAAABiGMg8AuGbx8fF2R/BpjC9MwXsVAIqPz19nHt4XHx+v999/3+4YQL52796trKysyy5Tu3ZtBQYGSpJeeOEFvfDCC8WQzLfs2bPH7gg+jfH1DrZfnsd7FSXd5T4XVKlSRZZl6dChQ7IsSw6HQ+XLl1e5cuWKOaV5GFd7cJ15XLOaNWtq7969dsfwCRRPz2vdurWysrK0bds2NWzYUOfOndOhQ4dUs2ZNSZLD4dDs2bNVvXp1SVKdOnW0a9cuOyMbo2PHjsrOzpYk/ec//9G9994rSSpfvrxefPFF9ejRw235KlWq6J///GdxxzTOn8f1oj+P76UCAwO1bNmy4ojmc9h+eQbrguKTmZmpw4cP69SpU7ruuutUsWJFOZ1Ou2MZ5eLngks5HA4NHDhQU6ZMUW5urpxOpyzL0r59+/Trr7/akNQsjKs9KPMoEjbc3kHx9J7atWtr9+7d2r9/v55//vkC98ZdXA5X9sUXX+S74S5VqpTq1KmjLVu2qFu3blq4cKFycnLUvXt3HT582IakZiloXAsSGBiouLg4LybyLWy/PI91gfd9/PHHmjlzpo4cOaLKlSurTJkyOn36tH766SdVrFhRCQkJevDBB+2O6RMu/RzA5wLPYFy9g8PsUSRDhw51bbiHDBniml6qVClFRkZq8ODBeTbcfBi6sjVr1kj6YwW3YcOGKxZPvosrPIfD4frfi/++3HK4sisVyGbNmik0NFRNmjSRJIWHhxdHLONRzL2L7ZfnsS7wnoMHD2rw4MG6/fbb9dprr6latWr5LvPmm29qzpw5euWVV1S1alUbkvqOSz8H8LnAMxhX76DMo0jYcHsXxdOzlixZohMnTujll1/Wb7/9pu+//14rVqxQ+/bt7Y5mtFdeeUU5OTlu0ypVqqSOHTu67v/5Pcr7FSUB2y/PY13gPYsWLdKiRYsu+z6sVq2aJk2apJSUFE2bNk0vvvhiMSY007JlyxQYGKhWrVopJCTE7jg+g3EtfpR5FAkbbu+heHregAEDlJCQoLS0NIWEhOihhx5Sz549GdNrlJaWppycHG3evFlOp1MNGzZUQkKC23qAo0eKpmnTpkpKSlK1atV0//33q0ePHqpYsaLdsXwC2y/PY13gPVdzXpwyZcpQ5AupR48euueee9SzZ0+NGDFCgwYNsjuST2Bcix+XpkORpKWlKS0tTatXr9aGDRuUlpamhIQEt2XYcBfNgAED1KtXrzzFE0VXrlw5vfDCCxo7dqzGjh2rF154Qdddd53dsYw3evRojR07Vi1bttT999+vsWPHqmzZsnbH8gknTpxQSkqKFi9erLCwMN177736f//v/+U5MR6uHtsvz2Nd4D3r16/PM+23337LM+3NN98sjjg+o1y5clqxYoV27typlStX6oknnrA7kk9gXIsfe+ZRJKNHj5YkTZ48WaVLl1bfvn31wQcf2JzKN1wsnn/27rvv2hPGR+S3Z+3itJycHH388cfKzc2VZVk6c+ZMccfzaezVLBp/f385HA7VqFFDI0aM0IABAzRq1Cg1bdpUq1ev5tDva8D2yx6sC4pm2LBh2rFjh9u0++67T9u3b3ebNmvWrDwnb0TBLr4fy5UrpzVr1ujBBx90XSHI4XBo69atCgoKUm5urtLS0mxOaw7GtfhR5uE1bLiLhuJZvDIzM11j6nA41LdvX7sjGe3ie/Xo0aN64okndPjwYTVv3ly5ubk6evSozenMFRISounTp2v27Nlq27atPv/8cwUFBdkdy2ex/bp2rAs8I7+jRHJzcwu1HArHz89PixYtUsOGDdWlSxd17dpVo0aNco1p8+bNbU5oJsa1eFDm4TFsuL2P4lk0v/76q8aPH++6b1mWTpw4IUkKDQ3Vv/71L7uiGW3mzJnKycnRli1bFBwcrOzsbNe43njjjZo6darb8jfccIMdMY1U0AfzPn366PDhwxoyZIheffXVYk7lu9h+XRvWBd5zuS/4rzQNBbt0HRsZGannnntOzz//vJYtW6bhw4fblMxsjGvxo8yjSNhwew/F0/Nmz56tH3/80W3aa6+9ZlMa33H69Gnl5OTojjvucN1PTEyU9Me1zy9Ox9W75557Cpz34osvKjY2VsnJyYqOji7GVL6B7ZfnsS7wLsuy8pSk/Kah8KZPn55nWrdu3bju+TViXIufw2JNgCJITEzMczbg6OhoPf300zYl8h0fffSRW/F0OByKiopSly5dbEwFoCQ5d+6cwsLC7I5hJLZfMElQUFCe96tlWW574i3LUkBAgC5cuFDc8QDYjDIPlHDx8fF6//337Y7hUxhT7xo/frzGjBljdwyfxfjCFLxXAcC7KPPwKDbcnlezZk3t3bvX7hg+hTH1LsbX806fPq2kpCTde++9jK+XsP3yPN6rKImOHz+urKysQi8fEBCgChUqeDGRb2Bc7cFv5uFRS5cu5cPQNejYsaPbdaQty1JycrLat2+f7/KBgYFatmxZccUz0qVjKokx9aCZM2dq6dKl6tKli5599lm3ebNmzdL69etdh4TWrFlTL774ok1JzfPTTz+pcuXKkqQNGzboq6++0r333svvZL2E7de1YV3gHY8++qjeeusthYSEFLhMWlqaBg4cyDl1CumBBx5QVlZWodelQUFBeS4FiLwYV3tQ5lFkbLg9b+jQoXm+1Rw6dGiBywcGBno7kvHyG9MhQ4YUuDxjWnjr1q3TokWLNHHiRI0aNUo1atRQq1atXPNnzZqlCRMmyOl0Kjc3V71792Y9cBXuuOMOxcfHa86cOVqzZo06d+4sibNWewLbL89iXeA933zzzWWLvCSVLl1aW7duLaZE5rtcgfzuu+/kdDpVqVKl4gvkIxhXm1hAEaxdu9b629/+Zv3nP/+x7rrrLmvNmjWWZVlWTEyMZVmWVatWLWv58uXWp59+aq1atcqKjo62M67PGD16tLV27Vq7Y/gUxrToOnXqZG3dutWyLMv6+uuvrYcfftiyrP9bD9SoUcNt+dtvv714AxpqwYIFlmVZVsWKFa0HHnjAWrRokVWjRg3rwoULlmX93/iiaNh+eR7rAu+JjY0t1HJ169b1bpC/iLfeesuaNGmS3TF8DuPqPX52f5kAM82ePVv//Oc/1axZM82YMUOvv/662/ycnBy1b99ebdq00X333aeIiAibkponPT1dycnJOnLkSJ7rG5crV05ff/21TcnMxZh6x65du9SoUSNJUoMGDbRv377LLs8e5cK5uMcyNDRUs2fP1uDBg1WnTh2OGvEQtl+ex7rAe3Jzcwu13KVnvMflPfzww5KkkSNHSpLuvfdeSX9c2eLAgQO25TId41r8KPMoEjbc3tO4cWPdf//9ateune6++25NnjzZNS8mJkbff/+9jenMxJh6x6UfHgv7oROFd/PNN6tjx46u9a30x+GKoaGhCg0NVUhIiCIjI21MaB62X57HusB7YmNjtWHDhssus2nTJtWsWbOYEvmG7777TpK0cuVKSdKJEyckSTfddJOOHTtmWy7TMa7Fj9/Mo0jYcHvPhQsXtHv3bknSxo0btXz5cte8ypUr59mzjCtjTL3DuuQkN+wZ8qyL49u/f3/16tVLgwcPliRVr179igUUBWP75XmsC7xn5MiRio+P18qVK/P9vfGRI0fUt29fLVmypPjD+aCyZcvq+++/14IFC1zT/P391bVrVxtTmY9x9R7KPIqEDbf3XG4vUFhYmFJSUoovjI9gTL2jRo0a2rFjh+rXr6+dO3eqSpUqdkfyCR07dnS7HxMTo4yMDP3www+qWrUqe4qvEdsvz2Nd4D01a9bUtGnTdM8996h9+/Zq0qSJIiMjdfr0aW3cuFH//ve/NXv2bNWpU8fuqD6hdOnSOnnypLZt2+ZaVwQEBFA6rxHj6j2UeRQJG257hIaGKiMjw+4YPoUxLbru3burf//+mjJlikaOHKlnnnnGbb6/v78+/vhj1xms+dKkcCZNmpRnWufOnbVy5Ur179+fS9NdI7Zfnse6wLvatm2rXbt2af78+frwww91+vRpRURE6I477tA333yjm266ye6Ixrv4JWlISIjCw8M1Y8YMmxP5BsbV+yjzKBI23N7z5w/q/v7+OnTokDZt2iRJOnfunPz8ONXF1WJMvaNLly76/vvvNWjQILVv316PPvqo2/xnn31WCxcudF3ii2/gr06fPn1c/27evLmmTJmi/v3725jIN7D98jzWBd4XGRmpgQMHauDAgXZH8Qm//vqr2rdvr8OHD6t9+/b65ZdfJEl+fn55LmeLwmNci5/D4it+FFFiYqI+/vhjtW/fXs8995ykPw4H27t3r+bMmeN2nd6qVatq4sSJNic2w3PPPaf/+Z//kSSdOXNGffv2VWpqqqQ/Vob333+/evfubWdE4zCmxSsmJobfdHtYTk6OZs+erYSEBMbXA9h+FQ/eq9du8+bNunDhwhWXCwoKUuPGjYshkW84cOCA2wnZypcvr+rVq0uSKlSowMnaiohxLX6UeXgUG24AL730koYNG2Z3DJ81ZcoUDR8+3O4YPoftl+exLrh2bdq0KVSZdzqd+vTTT4shke9bsmSJHn/8cbtj+BzG1Tso8/AoNtwo6Xr16qW5c+faHcPnJSYmavTo0XbH8Am8Z4sH2y/vYF0AE8THx+v999+3O4bPYVy9jx+KwqOGDRumxMREu2MABdq8ebPdEf4S3nvvPbsj+IwrvWcvXnYR14btl3ewLrg2r7/+eqEvn5iTk6NXX33Vy4l80549e+yO4JMYV+/jBHjwuPfee49v4VFi9O7d2+2kK8eOHdPTTz8tSapfv7769eunV155RR999JHi4+OVkJBgV1Tj9OnTx+1DZqVKlTRq1Ci3ZZ5//nnt3bvXdRLCMWPGqG7dusUZ0zi9evVSdna26/6f37MXxcbGasCAAZKkrl27ateuXcWa0Vex/Soa1gXeU7duXXXo0EEdOnRQ165dFRISkmeZ8+fPa/78+Vq+fLnGjh1rQ0qzdOzY0W0dK0nJyclq3759vssHBgZq2bJlxRHNaIyrPTjMHkVyuQ13nTp1tGvXLjbcKBFWrFhR4BlUo6OjdejQIb322muaOHGixo0bp549eyo+Pr6YU5pp+fLlys7O1pAhQzRt2jQNGjRIR44ckfR/64FKlSq5baxjYmIUGhpqV2QjXO49e9HNN9+sv/3tb5Kk2rVrs3f+KrD98jzWBd6VmZmpN954Q2+88YbKli2rmjVrqkyZMjp9+rT27NmjU6dOqUePHurZs6eCg4PtjlviffHFF1d1ZvXAwEDFxcV5MZFvYFztQZlHkbDhhuneffddPfLII2rRooVee+01xcTE6MCBA+rTp4/Wr19vdzyjXPxv/s+l8uI0TirmOQsWLFBYWJg6derkNv3iWKNw2H55D+sC7zt06JD279+v06dPKzIyUrfddpsqV65sdyyfsm/fPsXExNgdw+cwrt7Bb+ZRJB06dFCnTp0UHh6uTp06KSIiIs8yISEhuuOOO1w3PgjBLmfOnHG7v2zZMs2ZM0fSH4cwX9y43Hrrrfrtt9+KPR9wqbS0NB05ckRHjx51TQsKCtI333xjYyrfwPYLJqtUqZLatm2rxx57TG3btqXIF1FmZma+09955x3169evmNP4Dsa1+FHmAfi8KlWqqHr16lq2bJlOnDihESNGaMaMGZL+uM78n3Gw0rUJDw9X6dKlXfcfeOABvfTSS5oyZYqmTJni2gOKy4uJiVG7du0UFxen1157TZJUuXJlHT582OZkQOGwLig+48ePtzuCce68805VqVJF//M//6PU1FRJ0rx58/Tyyy/rgw8+sDmduRjX4keZh8ew4UZJdf3112vhwoWaOHGiYmNj9fzzz+v222+XJDkcDtc1fLOysuRwOOyMarzU1FSlpaW57i9evFhhYWGum7+/v43pzFG6dGnt3r1b//rXv1xHi1SoUEG///67zcl8E9svz2Nd4D2X7v1cunSpTUnMlZWVpc8++0xpaWmqV6+e4uPjtXjxYq1du1aRkZF2xzMW41r8KPPwGDbcKKkCAgLUqFEjbdmyRXfddZcOHDjgmteiRQu99dZbkv44DKxJkyZ2xfRJERER6tu3rxISEpSQkKCbb77Z7khGuPil0p+/XCpVqpTS09PtiuTT2H55H+sCz2nQoIHbfY4ou3oBAQG69dZbNWnSJK1bt04nT55U3bp1VaZMGbujGY1xLX5cmg5ec3HDDZQUTqdT7777rlq0aKGPPvpIDz/8sEaMGKGmTZtq1qxZyszM1H/+8x+7Yxpj8eLFysnJUUpKihYsWKBTp07ZHcmnhYaGusr8iy++qHnz5tmcyHex/bo6rAuK16WX/+KIsmtTuXJlrVmzRk8++aR69eqluXPn2h3JJzCuxYMyjyJhww2T/Hmvhb+/v5YsWaIWLVqoTZs2Kl++vHbu3Km9e/eqZs2a+V7DF/n7+uuvlZOTow4dOujrr7/W4MGD8yxTo0YNG5KZ7+J7NiAgQNu3b9eCBQuUkZGhnJwcSdLw4cPVt29fORwOhYeH2xnVOGy/PI91QfGivF+7S49mCAgI0OLFi/Xoo48qMTFRo0ePtimZ2RjX4keZR5Gw4YZJhg0b5na/QoUKeuqpp/Taa69p+PDhrjNX4+r885//LHDexQ36Rx99VExpfEv//v0lSQ0bNlRsbKy+/vprORwO1wchp9Mpp9NpZ0Rjsf3yPNYFMM3DDz+cZ5rD4dC8efPUuHFjNWvWTI0bN7YhmdkY1+LHdebhcX++vixQEsXHx+vdd99VVlYWhchLpk6dqqFDh9odA7gqbL88j3WB5/n7+7u2XZZlqXLlytq7d6/NqXzHL7/8ovDwcC5JeY3i4+P1/vvvu+4zrt7Bnnl4XLdu3eyOAFzWnj175OfnR5H3Ij68F12vXr3y/Cb2cgIDAzVnzhwvJvrrYPvleefPn7c7gs+pXr269u3b57pfs2ZNG9OY79LSWa5cORvT+I49e/a43WdcvYM98wB8WseOHfMUo//85z+69957810+MDBQy5YtK45oxjt+/LiysrIKvXxAQIAqVKjgxUS+Ye3ata7LJRZGYGCgWrdu7cVEQNHVrFmTvcYedumYMsbXhvHzjE6dOrl9JvjzZ61+/fpp37592rBhgyzLksPh0G233aYpU6bYFddnUOZRJHyIhym++OKLAt+rlmXpzJkzbpdMCQwMVFxcXDGlM9sdd9yhrKysQl8WKSgoSNu3b/dyKvMdOHCg0OvXwMBA3XrrrV5O5Ft27959VduvwMBA1a5d24uJfMPChQv1wgsvKCQkRC+//LLrC6aYmBi3vci4OmvXrnV7v2ZnZ2vUqFH69ttvXdMoo1eH0ukdl/u8VbNmTbVq1UqTJ09WcHCwcnNz1b17dx0+fLiYU/oeyjyKhA/x8AWDBg1S6dKlNX78eLujAC6tW7dWdna2LMvStm3b1LBhQ9e69tL7gYGBWrNmjZ1xjdO6deurKvNBQUH67LPPvJjIfJs3b9YzzzyjhQsXKj09Xd27d9cnn3yiW2+9laJ5jZ588km396ufn59atWql7t27u6YxxleH0mmPS89JwjlKPIMyD8Dn9ejRQ9u3b1eDBg3Uvn17ValSRUOHDlWDBg00fvx4LvODEosPPzDBo48+ql69eql58+aSpAULFmjXrl2aOnUqe+aLAWPsWax3iy4lJUVhYWEKDAzMM69OnTratWtXgfdRNH52B4BvSkpK0ldffWV3DECStH37dq1Zs0aPPPKI1q5dq7vuukvXX3+9XnjhBYr8Nfriiy+0dOlSPuh42LfffqvVq1crMzPT7ih/OS+99JJSU1PtjmGU7du3q1mzZq77bdq00ZYtW+wL9Bfz1FNP2R3BOCkpKQXunb/0cwGfEwrv1ltv1Q033KBHH31UBw4csDvOXwJlHtcsOTlZOTk5rvsZGRnq0aNHoQ/BB4rDDTfcoJYtW2rGjBn66aefFBAQoNq1a2vz5s12RzPa008/rXXr1qlnz56qVKmSJk6cqIyMDLtjGa9bt26aOXOmcnNzdf/99+vzzz+XxId2T1m9enW+/+1PmjRJX375pcLDw21IZa6srCz5+f3fR8qyZcvqxIkTrvuhoaGuW0hIiCIjI+2I6RPi4+PzTBs+fLgNScxG6fSO6667Tj///LNatGihZs2auV0lAN5BmUeRrVu3TtIfhx/deuutmj9/vrKysvTII4+oe/fuatSokc0JgT+MHj1aO3fudH3p9N1332nHjh0aN26chg4dqtdff93mhOYKDAzUm2++qa1bt2rLli36/fffVadOHW3bts3uaEY7f/68PvnkEx08eFDDhg3TyJEj9Y9//EMJCQl2R/MJzz77rAYNGqRq1arpjTfe0IULFzRo0CBt3rxZ77zzjt3xjBMYGOj2Bf6pU6dUtmxZ1/3z58+7bunp6Tp9+rQdMX3CpZf7QtFQOr3D399fpUqVUs+ePbV582aNGDFC69evtzuWT+M68yiy/v37a+/evYqKitKyZcuUkJCgkSNHql+/furXr5/d8QCXyZMnKyIiQt99951q1KihlJQUrV69WjfffLPatWunUaNGKSsrK9/feOHy/nz44c0336yXX35Zjz32mB5//HG9/vrratGihY3pzPXncb333nv15ZdfatiwYbrvvvv0ySefKDQ01MZ05gsJCdHXX3+tPXv2aPz48RoyZIjuv/9+/fvf/1ZAAB+Nrlb9+vX1xRdf6O6775YkbdiwwfVvFF1+l1ZNTk5W+/bt812eS6sW3p9LZ8uWLdWyZUtdd911bLM8qHLlynr33XfVpUsX7dq1S6VLl1abNm3kdDqVm5urY8eO2R3RJ3ACPBTZxbOn/vnEIEOGDNFPP/2kDz/80OZ0wP+pV6+evvnmG2VnZ+uDDz7Qyy+/rHr16mnKlCmKiIiwO57RCjqBzQ8//KA2bdro448/VkxMjA3JzFbQCa0SExO1c+dO9iJdo0vft8uXL9egQYP0wQcfqH79+jYmM9OmTZs0cOBALV68WBkZGXr88ce1fPlyVa9enTOtX4PLnXU9P1xatfAufV9u27bNVTrbtGmjUqVKuUrn1q1b3X42goLlt+0aPny4goKC1K9fP33//feuo3jKly+v6tWr2xHTp/D1M4osv++Bpk2bpv79+2vo0KGaOnWqDamAvMqXLy9JCggI0KOPPqpHHnlEr7/+upo1a6Zly5apSpUqNic0V0HfB1etWlWzZ8/WE088oW3btnECoavUtWvXfKePHj1aDz/8sNt1kXHtOnTooJtvvlldunTRsmXLFBsba3ckozRp0kQJCQlq27atQkJCNG3aND6kewDF3Hsu3XY1aNBAnTt31qRJk7Rs2bI8pROF065duzzThg8frubNmysxMVHlypWzIZVvY888imzJkiV6/PHH81yyIycnR40bN9bMmTPZw4ESbcuWLfrtt9/08MMP2x3FWAsWLNCTTz5Z4PzRo0crISGBD0MoUQq61NSXX36pJ598Ulu3btX1119vQzLfw2XTrk1OTo5ycnIUFBRkdxSfkt9OpxMnTqh58+ZcLg1Goczjms2YMUP9+/d3m7Z161ZNmTKFw+0BACXOl19+qbvuuivfeW+++aZOnz6tYcOGFXMq3zRlyhTOtn4N7rrrLn3//fe67rrr9OCDD6pfv34cTQbAhTIPr8nOzuZEQgA0fvx4jRkzxu4YQB7x8fGcf8ADevXqledEbRdZlpXnZzaBgYGaM2dOcUQz3u23365vv/1WR44c0VNPPaVdu3apT58+GjdunNvlAOF5bLtgAso8imT37t0FnpSlSpUqsixLhw4dcm3Ey5cvz+9kgL8oToCFkor3pmds2LDB7TOBZVnq3bu35s6dm+/ygYGBat68eXHFM9qfT9Y4cOBAtW7d2nXZyhUrVig4ONjmhL7j9ddfV58+fVxfPrF+gAnYbYoiGTJkSL5l3uFwaODAgZoyZYpyc3PldDplWZb27dunX3/91YakALypR48e2rZtmwICAhQaGqqyZcsqKipK1atX19NPP63Q0NACT5IH2OHPl/u69DJfvXr10qFDh7R27Vq3k1+xF/ny8ivmYWFhatOmjQ1pfFdISIgCAwM1a9YsjRkzRvHx8fr444/tjmWk48ePu53LJTU1VW+++aaeeeYZ1zS2XTABZR5FsmbNmsvOf+6559xOLlS7dm1vRwJggw0bNmjTpk2yLEtnz57ViRMndOzYMe3fv18XLlxQaGgoZ7JHiTJ06FDXl9FDhgxxm3fbbbdpxIgReuWVV1w/EytVqlSxZzRNxYoVlZ6e7jbt9OnTuvHGG92mWZalsLAwHTp0qBjTme3PhTI0NNQ1zuPHj1d8fLymT5+uQYMG2RXPWHfccYdatmypBQsWSPrjpM6dOnVyW4ZtF0xAmYdXXLoCZIUI+Can06moqCi7YwCFlt/lvi4erlyuXDnl5OSoRYsWNiQz1+HDh+2O4LMeeeQR17+joqIUFhbmuj9z5kw1btxY/fv3l7+/vx3xjBUYGKisrCyNHDlSEyZM0Jw5c/Tpp5/aHQu4apw5A0W2bNkyrVixIs+38QD+OviiDr4gMzNT69atszuGz5o2bRqHgxfR6NGjXf9+6qmn3L5ouvHGG/Xtt99S5IsgLCxMCxcu1I4dO9S+fXu1atVKN910k92xgKvGnnkUWY8ePXTPPfeoZ8+eGjFiBId5AdCmTZvcShG/OYQJqlatqg8++MDuGD7n6NGj6tevn7KystSjRw+74/gkrj9fdAEBAVq8eLFiY2PdvjQBTEKZR5GVK1dOK1as0C+//KInnnhC27dv16JFi+yOBcBGoaGhuv766+2OAVyVqKgoTtJ6jd566y35+fmpbNmyys7O1scff6z//d//1XPPPacnn3zS7nhGOn78eIFXDspPQECAKlSo4MVEvqds2bKaPXu2xo8fr5UrV9odB7hqlHkU2cXDa8uVK6c1a9bowQcf1AsvvKAXXnhBDodDW7duVVBQkHJzc5WWlmZzWgDFoUGDBmrQoIHbNM4EjpLO6XTq9OnTdscw2t69e3X+/Hn99ttvSkpK0o8//qiuXbvmWR+g8B544AFlZWUV+ginoKAgbd++3cupfM+DDz6oV155RevXr+d8GTAOZR4e4efnp0WLFqlhw4bq0qWLunbtqlGjRrk2QFxPFgBQUl08GRaK7qWXXnK7//vvv+vtt99Wq1at1Lt3b40ZM8amZOa6UjE/fvy4IiIiFBoaWkyJfMelX5CMHz9eiYmJlHkYhzKPIrt0RRgZGannnntOzz//vJYtW6bhw4fblAxAcbntttvsjgBctV69ermuNS9J58+fV2RkpCTpxRdftCuWT7nhhhs0bNgw9e7dW4888oj69++vGTNm2B3Lp7zyyiu688471bFjR7ujGKdPnz5u9+Pi4nT69GkdPHhQ1apVsykVcPUo8yiy6dOn55nWrVs3t+vLA/BtH3300RWX4SR4KGkuHr58kZ+fn+644w5JUufOne2K5ZPCw8P1ySef6LvvvrM7ipG2b9+uvXv3yrIsORwO1atXT7fffrskqUaNGtq1axdlvggGDBiQZ9pbb73lds4Btl0wgcPinQoA8KIpU6ZwpA4AFEHNmjXVvHlzORwOZWdn66uvvnIdfr9161bNmjVLCxYssDmlb2LbBRNQ5gEAHpWYmMhlfgDAA2rXru12xGNMTIz27dsnSTpy5Iiefvppt8uB4sq4SgB8CYfZAwA86r333qPMA4AHXLxyUH73Q0NDlZKSUsyJzFfYqwQ4HA5ZlsVVAlCiUeYBAEXSp08f5ebmSvrjQ88999yjJ554wjV/9OjROnDggO677z51795dcXFx+uKLL+yKCwA+JSwsTBcuXLA7hnEo5vAlfnYHAACYqXXr1lqzZo3atm2rJk2aaNq0aW7zlyxZor///e+aOXOmJCktLc2OmABgrEv3Hp86dUrjx4933ZxOp03JfFdSUpK++uoru2MAhUKZBwAUSceOHVW6dGl17NhRXbt2VU5Ojtv8MmXK6IEHHsgzHQBQOJdeKnHOnDkKCwtTWFiYbrjhBi73d42Sk5PdtlEZGRnq0aMHZ7KHMTjMHgBQZJf+nhMA4DkPPfSQ2/0OHTrYE8THrFu3Ti1btlTt2rV13XXXaezYsXr88cf1yCOPqHv37mrUqJHdEYFCYc88AKDI8tt7sWfPHoWGhtqQBgCAK+vfv78kKSoqSqtXr9bChQtVsWJFNWrUSP369bM5HVB47JkHAHhUzZo1tXv3btWvX9/uKABgrF69eik7O7vQywcGBmrOnDleTOR7HA6HbrvtNq1bt05DhgzRtm3b7I4EXBXKPACgyPI7zL6gQ+85JB8ACi8+Pv6qzlYfGBjoxTS+Jb+jyqZNm6b+/ftr6NChmjp1qg2pgKtHmQcAFMnChQt1+vRpLViwQJmZmfLzc//l1sUPS2fOnNFnn32mM2fO2BETAIxUrVo1ZWVlFWrZwMBAVa5c2cuJfMfzzz+f7/Tp06ercePG2rFjB0eXwQiUeQBAkWzbtk0PPfSQvv76azkcDo0cOdJtfuvWrSVJ3bp10/z589WjRw87YgKAkXr37p2nzG/btk0NGzbMs2c5KChIn332WXHGM9rjjz8uSerZs6fbdH9/f02fPl2JiYn68MMP7YgGXBWHxbUXAAAeVLt2be3evdvuGADgc1i/Fo/s7GwFBLDPEyUf71IAgEd169bN7ggA4BM2btyoHTt2uPbEnzx5Ui+//LIkqWLFiurUqZOd8XwWRR6mYM88AMCrxo8frzFjxtgdAwCMU6dOHT344IMKCgpym25ZlmbNmqXffvvNpmQASgLKPADAo15//XX16dPHdfb6mjVrau/evTanAgDzxMTEaN++fVc9D8Bfg9+VFwEAIH/Hjx93u5+amqo333zT7TJ0fGcMAEVzuUt6crlPAJR5AECR3XHHHXryySdd95csWZLnN5x84ASAosvJycl3enZ2djEnAVDSUOYBAEUWGBiorKwsjRw5UpZlac6cOfrHP/5hdywA8AmxsbGKjIxUeHi426106dJyOp12xwNgM8o8AKDIwsLCtHDhQu3YsUPt27dXq1atdNNNN9kdCwB8wjvvvKPU1FTX7ZFHHlFqaqrS0tK4RB0AyjwA4NoEBARo8eLF2rFjB5dJAgAv2rJli90RAJQgXEQRAHDNypYtq9mzZ2v8+PFauXKl3XEAwHi9evVy+128ZVk6duyYnn766XyXDwwM1Jw5c4orHoASgDIPAPCIBx98UK+88orWr1+vFi1a2B0HAIz2wAMPKCsrK8+0ggQGBno7EoAShjIPACiySy87N378eCUmJlLmAeAatW/f3u4IAEo4yjwAoMj69Onjdj8uLk6nT5/WwYMHVa1aNZtSAYBvWb16tbZu3arff/9d5cuXV/PmzXX33XfbHQuAzRzWpbtVAAC4Bvv379ctt9yi0NBQSVJMTIz27dtncyoAMM9PP/2kBx54QOXKlVPr1q11ww036OjRo1qxYoVCQkK0YsUKlSlTxu6YAGxCmQcAeNWUKVM0fPhwu2MAgHHatGmjhx9+OM9RUJL03HPP6bffftMbb7xhQzIAJQFlHgBQJMePH89zcqbLCQgIUIUKFbyYCAB8S4UKFXTs2LF856Wnp6tu3br67rvvijkVgJKC38wDAIrk4pmWr/SdsMPhkGVZCgoK0vbt24spHQCYLyQkRMePH1f58uXzzPvuu+90ww032JAKQElBmQcAFAnFHAC8a9iwYWrSpIkmT56sJk2aKDIyUqdOndKnn36qsWPHcog98BfHYfYAAK9ISkrShQsXdOedd9odBQCM9emnn2r27Nnavn27UlJSdP3116tx48YaOHCgGjRoYHc8ADaizAMArllycrIqVKggf39/SVJGRoYaN26smTNnqlGjRjanAwAA8D1+dgcAAJhr3bp1kqTatWvr1ltv1fz585WVlaVHHnlE3bt3p8gDAAB4CWUeAFBk/fv3lyRFRUVp9erVWrhwoSpWrKhGjRqpX79+NqcDAADwXZR5AMA1czgcuu2227Ru3To99thj2rZtm92RAAAAfBplHgBQZPmddmXatGmKiorS0KFDbUgEAADw10CZBwAU2fPPP5/v9OnTp2vLli3asWNHMScCAAD4a6DMAwCK7PHHH5ck9ezZ0226v7+/pk+frsTERDtiAQAA+DwuTQcA8Jrs7GwFBATYHQMAAMDnUOYBAAAAADAMh9kDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAuCrvvfee7rvvPlWuXFmVK1dWtWrV1LFjR61du7bAxxR0ip5WrVpp586d3ooKAIDP4hTDAACg0BITE7Vq1Sq98soratCggRwOh3Jzc/XVV19pwIAB2r9/v5599tk8jytXrpyOHDkip9PpNj0rK0tZWVnFFR8AAJ/BnnkAAFBoK1as0JQpU9SwYUM5HA5Jkp+fn/72t79p0qRJWrp0aZ7HnDt3Tjk5OXmKPAAAKDrKPAAAKLT27dtr5MiRSkpKck2zLEvbtm3TqFGjFB8fn+cx//73v3X69GkdPHiwGJMCAODbuM48AAC4KkuWLNG8efP0448/yt/fX35+foqJiVGfPn3Utm1bt2UzMjL0t7/9TY0bN9bBgwe1evVq1x59SWrWrJmmTp2qBg0aFPfLAADAaJR5AADgFdnZ2erevbtuuukmTZs2TT179lRmZqbmzp2r4OBgSZR5AACKihPgAQCAK5oyZYrmzZtX6OWbN2+uHTt2KC4uTlOnTpUkzZkzR6NGjVKTJk301VdfeSsqAAB/CeyZBwAAHpeZmalNmzapVatWeeadOXNGERERkqT3339fzZs31/XXX1/cEQEAMBplHgAAFNqcOXM0Y8YM5eTk5Jnn7++vvn37KiEhwW1606ZN9euvv+b7fJGRkVq1apUiIyO9khcAAF9FmQcAAIUWHx+vJ554Qh06dMgzb/ny5Xr77bf10UcfFfr5GjdurFdeeUV33HGHJ2MCAODzuDQdAAAoNMuyCrxevNPp1NXuIwgICLjqxwAAAMo8AAC4Cg6Ho8DybVmW22XnAACA93A2ewAAUGhVq1ZVz549VaZMmTzzUlJS1K1bt6t6vgoVKigsLMxD6QAA+OvgN/MAAAAAABiGw+wBAAAAADAMZR4AAAAAAMNQ5gEAAAAAMAxlHgAAAAAAw1DmAQAAAAAwDGUeAAAAAADDUOYBAAAAADAMZR4AAAAAAMNQ5gEAAAAAMMz/B61CGofEKdhpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(x=items_count.index, height=items_count['판매량'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('음식')\n",
    "plt.ylabel('판매량')\n",
    "plt.title('상품별 판매량')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04688a34",
   "metadata": {},
   "source": [
    "## 2-3. 여러 메뉴들(음식,음료)을 판매 매출(판매 개수 x 결제 금액) 순으로 정렬하고 상위 10개를 뽑아 결과를 시각화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "c2339eb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "items_payment = sales_data1.groupby('상품명')['결제금액'].sum().sort_values(ascending=False)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "6350c9c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "items_payment = pd.DataFrame(items_payment)\n",
    "items_payment.columns = ['판매금액']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "9def6bbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6004400"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "items_payment['판매금액'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e5ceee8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VVVVVnZ8D9/f3r/FaO9TEuLrX4MGDlZ6ersDAwFrblJaWauLEiawndRWYYxseCyHCq5lNChcxKVybKVOm1PirwpQpU2pt7+fn5+6UbghbtmzRypUrNWfOHE2fPl133323HnroISP+9ttva/bs2bLZbHI4HHr++ef5fb0Cs9/VyZMn19qe39Vrwzxbv5gL3ONyF6p5eXmy2Wxq165dwyV0g2Bc3evLL7+8bMFAkpo1a6adO3c2UEaNH3OshzgBL7V582bnfffd5/zb3/7m7Nq1q3PTpk1Op9PpjIiIcDqdTmdUVJRz7dq1zg0bNjjXrVvnDA8P92S6N4xXX33VuXnzZk+n0egMGDDAuXPnTqfT6XT+85//dPbr18/pdP7f7+vdd9/t0r5jx44Nm+ANiN/V68c8W/+YCxpeenq6c+7cuZ5O44bDuF6/mJiYOrWLjY11byI3EOZYz7B6umgB1Gbx4sV6/fXX1bNnT7355ptatGiRS9xut6tv37565JFH1Lt3b4WEhHgo08anvLxc+fn5OnbsWI33roeGhuqf//ynhzJrvPbu3av4+HhJUufOnXXo0KHLtuedzHXD76p7Mc/WP+YC9+nXr58kadq0aZJkPKoUHh6ub775xmN5NXaMq/s4HI46tbv0DQuoHXOsZ1A0gNdiUnCfbt266dFHH1WfPn3005/+VPPmzTNiERER+vrrrz2YXeN06X/w6/pFAZfH76p7Mc/WP+YC98nLy5MkffLJJ5Kk77//XpJ0yy236Pjx4x7Lq7FjXN0nJiZG27Ztu2yb7du3KzIysoEyavyYYz2DNQ3gtZgU3Of8+fPat2+fJCkrK0tr1641YrfffnuNv+jiypyXLCLFXw3qB7+r7sU8W/+YCxpey5Yt9fXXX2vFihXGPh8fHw0ZMsSDWTV+jOv1mzZtmgYOHKhPPvnEdG2IY8eOacyYMfrTn/7U8Mk1UsyxnkHRAF6LScF9LvfXwqCgIBUXFzdcMjeIu+++W7t379Y999yjPXv26I477vB0SjcEflfdi3m2/jEXNLxmzZqpqKhIn3/+ufE77evry8XtdWJcr19kZKRee+01de/eXX379lWPHj3UvHlznT59WllZWfroo4+0ePFiderUydOpNhrMsZ5B0QBei0nBM5o0aaKKigpPp9HoPPPMMxo/frzmz5+vadOmafTo0S5xHx8f/eUvfzFW8+Vi9/rxu3r9mGfrH3NBw7lYVAwMDFRwcLDefPNND2d0Y2Bc61evXr20d+9eLV++XB988IFOnz6tkJAQ3Xvvvfryyy91yy23eDrFRoU51jMoGsBrMSm4zw//uujj46OjR49q+/btkqSzZ8/KamW5k6s1aNAgff3113rxxRfVt29fDR482CU+btw4ZWRkGK+u4y81dcPvqnsxz9Y/5gL3+fe//62+ffvqX//6l/r27auTJ09KkqxWa43Xs6LuGFf3a968uSZOnKiJEyd6OpVGjznWMyzOS+9NBLxIamqq/vKXv6hv37767//+b0kXbvU6ePCglixZ4vL+8B//+MeaM2eOhzNuHP77v/9bv/nNbyRJZ86c0ZgxY1RSUiLpwpeERx99VM8//7wnU7xhREREXHFxOdSO31X3Y55tGMwF1++bb75xWZivdevWuuuuuyRJbdq0YdG+a8S4uk92drbOnz9/xXb+/v7q1q1bA2R042KOdS+KBmh0mBTQmCxYsEAvvfSSp9MArgrzbP1jLnCvP/3pT0pOTvZ0GjccxvX6PPLII3UqGthsNm3YsKEBMrpxMce6F0UDNDpMCmhsUlNT9eqrr3o6jUZv1KhRSktL83Qa/xGYZ92DuaB+DRw4UH/+8589ncYNh3FFY8Uc6z48DIpG56WXXlJqaqqn0wDqbPXq1Z5O4YaQnZ3t6RT+YzDPugdzQf06cOCAp1O4ITGu9WfRokV1fpWt3W7X//t//8/NGd3YmGPdh4UQ0SitXr2aSiK8ygsvvODyxaBdu3aaPn26S5tf/vKXOnjwoLG434wZMxQbG9uQaTYqzz//vMsiXMePH9ezzz4rSbrnnnv0i1/8Qm+88YY+/PBDDRw4UGPHjvVUqjck5tlrw1zgHv3791d1dbXLvvz8fPXt29e0vZ+fn9asWdMQqTVqjKt7xcbGKikpSUlJSRoyZIgCAwNrtDl37pyWL1+utWvXaubMmR7IsnFhjvUMHk+A17rcpNCpUyft3buXSQFeY+3ataqurtbkyZP12muv6cUXX9SxY8ck/d/va7t27Vy+bEVERKhJkyaeStnrffzxx7Wu3B0eHq6jR4/qrbfe0pw5czRr1iw999xzGjhwYANn2bgxz9Y/5gL32LFjx1Wt5O/n56eEhAQ3ZnRjYFzdr7KyUkuXLtXSpUvVsmVLRUZG6qabbtLp06d14MABnTp1SiNHjtRzzz2ngIAAT6fr9ZhjPYOiAbwWkwIao4u/m9HR0dq3b5/LPhaXqx/vvfeennzyST3wwAN66623FBERoW+++UYvvPCCtm7d6un0GhXmWfdhLmhYhw4dUkREhKfTuOEwrvXr6NGj+uqrr3T69Gk1b95cHTp00O233+7ptBol5tiGxZoG8FpJSUkaMGCAgoODNWDAAIWEhNRoExgYqHvvvdfY+CIL3FjOnDnj8nnNmjVasmSJpAuPK1z8MnvnnXeqsLCwwfNr7Jhn0ZhUVlaa7n/33Xf1i1/8ooGzuXEwrg2nXbt26tWrl5566in16tWLggEaDdY0AAA3CQ4OltPpNL4U/OxnP9OCBQuM27wHDx6s2267zZMper077rhDLVq00Jw5c5SYmKhXXnlFH374oSTJanWte3PjHLwVc0H9+MlPfqLS0lKNGDFC48aNU3BwsJYtW6ZFixZp06ZNnk6v0WJcPSslJUUzZszwdBqNGnOs+3GnARqV4OBgNWvWzPh8cVKYP3++5s+fb9xWC3iDkpISlZaWGp8zMzMVFBRkbD4+Ph7MrnFo0aKFMjIyNGfOHMXExOiXv/ylOnbsKEmyWCzG+6+rqqpksVg8meoNg3m2/jEX1I+qqipt3LhRpaWliouL08CBA5WZmanNmzerefPmnk6v0WJcG9ald3asWrXKQ5ncOJhj3Y87DdColJSUSLrwzJJ0YVJ49dVXjUoikwK8WUhIiMaMGePpNBoVX19fxcfHKycnR0OGDNE333xjxB544AGlp6fr+eef17vvvqsePXp4MNMbB/Os+zEXXBtfX1/deeedmjt3rp5//nmNGDFCcXFxuummmzydWqPGuDaszp07G8/gS9wl5w7MsfWPogEaNSYFeIvMzEzZ7XYVFxdrxYoVOnXqlKdTuqHYbDa99957euCBB/Thhx+qX79+euWVV5SYmKi3335blZWV+tvf/ubpNG9IzLNXh7mgYdx+++3atGmTfv7zn2vUqFFKS0vzdEo3BMbV/S59xSV3yV0d5ljPoGgAr8WkgMbkn//8p+x2u5KSkvTPf/5TkyZNqtHm7rvv9kBmjdsP/wLj4+OjP/3pT3rggQf0yCOPqHXr1tqzZ48OHjyoyMhI0/df4/KYZ+sfc4H7XPoXWV9fX2VmZmrw4MFKTU3Vq6++6qHMGjfGtWFRJLg+zLGeQdEAXotJAY3J66+/Xmvs4heyiwv4oe5eeukll89t2rTR8OHD9dZbb2nq1KnGyv64Nsyz9Y+5wH369etXY5/FYtGyZcvUrVs39ezZU926dfNAZo0b44rGhDnWMyxOHqRBI/TDd7IC3m7hwoWaMmWKp9O4IQwcOFDvvfeeqqqqZLPZPJ3ODY15tv4xF7jPyZMnFRwczCtBr9PAgQP15z//2fjMuNY/Hx8f479fF1f8P3jwoIezujEwx7oPb09Ao/T00097OgWgzvgPWP05cOCArFYrBYMGwDxb/86dO+fpFG4YAwcOdPkcGhrKhW09OHDggMtnxrX+3XXXXTp37pzOnTun8vJyT6fTqF06D/B9y3240wAA6sGJEydUVVVV5/a+vr5q06aNGzNq/Pr3719jwai//e1v+q//+i/T9n5+flqzZk1DpAZck8jISP6iWE8Yy/oxYMAAl/92/XCO/cUvfqFDhw5p27Ztcjqdslgs6tChg+bPn++pdG8Il/7u8rt87Ri7hkPRAF6LizA0Jvfee6+qqqrq/Ookf39/ffHFF27OqnHbsWNHrXOA0+nUmTNnXF4J5ufnp4SEhAbK7sawb9++q5pn/fz8FB0d7caMbgwZGRn61a9+pcDAQP32t7/Vww8/LEmKiIjQoUOHPJxd48TFrXtcbp6NjIzUQw89pHnz5ikgIEAOh0PPPPOM/vWvfzVwlo3X5s2bXca3urpa06dP1/79+419XPhenR/+QeGH80BAQIBWr16tvn376quvvpJ04btCQEAAj9rVA4oG8FpchAGozYsvvqhmzZopJSXF06k0ag8//PBVFQ38/f21ceNGN2bU+GVnZ2v06NHKyMhQeXm5nnnmGf31r3/VnXfeycXBdeDi1jMuXduEtU6uzs9//nOX31ur1aqHHnpIzzzzjLGPeeHq1DYX+Pv7q2vXrrrzzjtdijJWq1V+fn4NmeINibcnwGtRAAAwcuRIffHFF+rcubP69u2rO+64Q1OmTFHnzp01a9YsT6fX6G3atMnTKdxw3nrrLb3xxhuKjY2VJP33f/+3lixZooULF9a5CI6arnQXkd1u1yOPPGJ8Dg4OdndKN4zi4mIFBQWZXlhd+npAXhd4dVasWHHFNswLV+fSuWDbtm06fPiwRo4cKenCHXGse1T/WAgRjVZubq7+8Y9/eDoNwLBjxw6tWrWKv8LUoy+++EKbNm3Sk08+qc2bN6tr165q0aKFfvWrX/HltQEsWLBAJSUlnk6jUfniiy/Us2dP4/MjjzyinJwczyV0AykuLq71bgMubq/dnXfeqR/96EcaPHiwvvnmG0+n8x9n+PDhnk6h0Vm9erXx75CQEH366afGZ4ow7kHRAI1Cfn6+7Ha78bmiokIjR45kYoBXefbZZ7VlyxY999xzateunebMmaOKigpPp9Xo/ehHP9KDDz6oN998U0eOHJGvr6+io6OVnZ3t6dRuCOvXrzcdy7lz5+rvf/87f7G9SlVVVbJa/+/rVcuWLfX9998bn5s0aWJsgYGBat68uSfSbJS4uHWPm2++Wd9++60eeOAB9ezZ0+WVi6hfl672L0lTp071QCaNW2pqqvHvO++8U0eOHDE+Dx8+XEuXLtXu3bsl8Sag+kLRAF5ty5Ytki48Q3fnnXdq+fLlqqqq0pNPPqlnnnlG8fHxHs4Q+D9+fn76wx/+oJ07dyonJ0ffffedOnXqpM8//9zTqTVar776qvbs2WMUDfPy8rR7927NmjVLU6ZM0aJFizycYeM3btw4vfjii2rfvr2WLl2q8+fP68UXX1R2drbeffddT6fX6Pj5+bkUtE+dOqWWLVsany++au3i69ZOnz7tiTQbJS5u3cPHx0dNmzbVc889p+zsbL3yyivaunWrp9O6IV36Sktcmx/OscHBwS53xL3xxhs6duyYxo8fL0l8B6snrGkArzZ+/HgdPHhQYWFhWrNmjcaOHatp06bpF7/4hX7xi194Oj3AxQ9vh7311lv129/+Vk899ZSSk5O1aNEiPfDAAx7MrnGaN2+eQkJClJeXp7vvvlvFxcVav369br31VvXp00fTp09XVVUVixxdh8DAQP3zn//UgQMHlJKSosmTJ+vRRx/VRx99JF9fviZcrXvuuUc7duzQT3/6U0kXnre9+G9cnx9e3D744IN68MEHdfPNNzO31qPbb79d7733ngYNGqS9e/eqWbNmeuSRR2Sz2eRwOHT8+HFPp9homL02OD8/X3379jVtz2uD6+7Sx49+WERo0aKFfv3rX+snP/mJJPH9oJ7wbQCNwsXXJ23ZskWTJ0+maohGo0uXLlq/fr0eeeQR/eUvf1FERISnU2pUqqqqtHnzZlVXV+v999/Xb3/7W/3/9u4+qKo6j+P45wIX8rKlpiayzDqm5cJG7ipmukgNBeks+EARrbJCLiC7Gtlqrqip3ZidYkEWZ3ygdUoh2d02aiXLh6iZdcdiDBgXC7Sc1tVJNnND0E2Rh7t/ODBe7yUBL5x7r+/XDDOe3zkwHx09nvs9v9/3Z7ValZubq8GDB+sPf/iD0RE9XufD149+9CP95S9/0a5du/TMM8+otrZWEydONDid51m8eLGeeuop7dy5U5cuXdL69eu1a9cuSayzdyU+3LrOtUs9IyIi9Nhjj+nFF19UWVmZPvvss65rRo0aZUREj7R8+XKHHhzLli3r9no+3PZdR0dH13arnS5cuKDa2lpduHDBwGTeg6IB3JqzngX5+fnKysrS8uXLlZeXZ0AqwLnuemyMHTtWW7duVXJysqqqqvjg0AudD6h+fn564oknlJSUpC1btujBBx9UWVmZ7rzzToMTep/Zs2fr+9//vh5//HGVlZVpwoQJRkfyKFFRUVq8eLFmzJihQYMGKT8/X3fffbfRsbwCH277x89+9jOHsRUrVig6Olo5OTkKCgoyIJXnu96OH+i7s2fPasOGDZKu3Beu7hszffp0SdIDDzyg3/72t5oxY4YhGb2NyUYnObix0tJSzZs3z2Ff4Pb2dkVGRmrTpk28CYPbKC4u1oIFC7o9v2bNGi1evJiHWRc4ePCgzpw5o7lz5xodxeN1t+/6Rx99pAULFqiyslLDhg0zIJn3CQ0NVX19vdExPJazlwVnz55VdHS0amtrDUoFdK+9vV3t7e3y9/c3OopX2b59u/797393HY8fP15PPPGEgYm8H0UDeISNGzd2NTTpVFlZqdzcXL355psGpQIAz/fRRx9p6tSpTs9t27ZNjY2NevbZZwc4lXfKzc2lUzpwE5k6dao+++wz3X777YqPj9eSJUuYIddPcnJytGbNGqNjeC2KBvBobW1tNOqCR7FarVq7dq3RMQAHiYmJdKN3gYyMDIfmZ52uXXMrXVnHXFRUNBDRbgrcY+FO7rnnHn3yySc6efKknnzySdXW1iozM1PPP/+83dasuHH33nsvM476EUUDuK0jR444NJDpdOedd8pms+nEiRNdD2GjRo1i3R3cXlhYmOrq6oyOATjg76ZrfPDBB3b/d9lsNi1atEgvv/yy0+vNZrOio6MHKp7X2bJlizIzM7uKMfw9hju5+oPs0qVLFRsbq927d+v48eMqLy/XLbfcYnBCz5OZmamOjg5JV5rLTp8+XcnJyV1/1mvWrNHnn3+umTNnKjU1VdOmTdOHH35ocGrPxytauK1ly5Y5LRqYTCYtXbpUubm56ujoUEBAgGw2m+rr6/XVV18ZkBS4Ii0tTVVVVfLz85PFYtHw4cMVEhKiu+++WwsXLpTFYum2WSJghKu3BLt2K7CMjAydOHFC7733nl1zOd6KfzdnBYDAwEA98sgjBqTxLg0NDXY9YZqbm7Vt2zb96le/6hrjHgt3NWjQIJnNZm3evFlr165VYmKi3n77baNjeZzY2Fj95je/0YYNG3Tx4kXl5eUpOTm563xpaak2btyo559/XqmpqTp//ryBab0HRQO4rf3793/n+dWrV9s17woPD+/vSMB3+uCDD3TgwAHZbDZduHBBZ8+e1enTp3X06FFdvnxZFouFnRPgVq7eEuzarcDGjx+vlStXqrCwsGsZ2Pe+970Bz+hpRo8erYsXL9qNNTY26o477rAbs9lsCgwM1IkTJwYwnWebNGmSHn74YRUXF0u68uHg0UcftbuGeyzcydVFLIvF0nVvsFqtSkxMVEFBgZ555hmj4nmkhIQErVu3TgkJCZKkl156ye78kCFDFBcXxzIlF6NoAI917YMBDwowWkBAgEJCQoyOAfSYsy3BOqfMBgUFqb29XQ899JAByTzX1R294Vpms1mtra3Kzs7W7373OxUVFWnv3r1GxwK6lZSU1PXrkJAQBQYGdh1v2rRJkZGRysrKkq+vrxHxPBbP/AOPDhxwa2VlZSovL3d4awO4I/4TgzdoaWlRRUWF0TG8Vn5+PlOS+ygwMFAlJSWqqanRrFmzFBMTo5EjRxodC+jW1d38n3zySbsi7B133KFPPvmEgkEfOFuG9Omnn8pisRiQ5ubATAO4tbS0NE2fPl3p6elauXIlU7jgUQ4cOGD34Yu1tvAEY8eO1RtvvGF0DK/z5ZdfasmSJWptbVVaWprRcTyWn5+fdu7cqQkTJrC9Gjyev7+/0RG8RlhYmI4cOaKJEycaHcUrUTSAWwsKClJ5ebn+85//KDk5WdXV1XrttdeMjgX0iMVi0bBhw4yOAfRKSEgITWVv0KuvviofHx8NHz5cbW1tevvtt/WPf/xDq1ev1oIFC4yO5/GGDx+urVu3ymq16p133jE6DuBUQ0NDt7uAOePn56fg4OB+TOQ9nM3s7G62J7NAXYOiAdxa5z/0oKAg7d+/X/Hx8Vq/fr3Wr18vk8mkyspK+fv7q6Ojg+6ocDsRERGKiIiwG6PzPNxdQECAGhsbjY7h0erq6vTtt9/qzJkzOnz4sL744gvNnz/f4X6AvouPj1dhYaHef/99+m7ALcXFxam1tbXHswz9/f1VXV3dz6k8X0lJiRobG1VcXKyWlhb5+Nivtu/8825qatK+ffvU1NRkREyvQ9EAHsPHx0evvfaaJk+erMcff1zz58/XqlWrum4O7HMNADeus9kc+u73v/+93fHXX3+t7du3KyYmRosWLaKrdx9d++HLarUqJyeHogHc0vUKAA0NDRo8eDDr8HupqqpKc+bM0ccffyyTyaTs7Gy787GxsZKklJQU7dixg+VgLmKyscgWbiw0NFT19fV2Y6+++qp2796tsrIyg1IBzs2dO1dvvfXWd14TFhamurq6AUoEXF9GRoba2tq6jr/99ludOnVKBw8e1BtvvKHHHnvMwHTepbm5WUlJSbrrrru0ceNGo+N4nMLCQj399NN2Y1OnTlVJSYnGjRsniXssPMfKlSt13333dW0diBsTHh5utxU7XIuZBnBrBQUFDmMpKSncFOCWrlcwkGiGCPfTOYW2k4+PjyZNmiRJFAxc7LbbbtPu3bt17Ngxo6N4pGsLBtKVFwlXrwPnHgt3Ul1drbq6OtlsNplMJv3kJz/RPffcI0n64Q9/qNraWooGLpKSkmJ0BK/GTAMAGEC5ublasWKF0TEAwCtxj4U7CQsLU3R0tEwmk9ra2nTo0KGuZQuVlZXavHmziouLDU4JXB9FAwDoRzk5OWwLBgA3iE708ETXTpm/etntyZMntXDhQrutmQF3xfIEAOhHr7/+OkUDALhBPe1EbzKZZLPZ6EQPt3Dtdn9XH1ssFp07d26AEwF9Q9EAAFwgMzNTHR0dkq48FEyfPl3Jycld59esWaPPP/9cM2fOVGpqqqZNm6YPP/zQqLgA4FEoAMDbBAYG6vLly0bHAHrE5/qXAACuJzY2Vvv379eMGTMUFRWl/Px8u/OlpaX6xS9+oU2bNkmSzp8/b0RMAPBKhw8f1qFDh4yOAdi5dmbMN998I6vV2vUVEBBgUDKgdygaAIALJCQk6NZbb1VCQoLmz5+v9vZ2u/NDhgxRXFycwzgAoHdOnTpldy+9dOmS0tLS2DkBbueFF16wOy4qKlJgYKACAwM1YsQItl6Fx2B5AgC4yLVrFwEArlNRUaGHH35Y4eHhuv3227Vu3TrNmzdPSUlJSk1N1ZQpU4yOCNiZM2eO3fHs2bONCQLcIGYaAICLOHvL9emnn8pisRiQBgC8S1ZWliQpJCREe/bsUUlJiUaPHq0pU6ZoyZIlBqcDAO/FTAMA6EdhYWE6cuSIJk6caHQUAPAKJpNJ48ePV0VFhZYtW6aqqiqjIwEOMjIy1NbW1uPrzWazioqK+jER0HcUDQDARZwtT+huyQJLGQCgd5zN5srPz1dWVpaWL1+uvLw8A1IBziUmJvZqdwSz2dyPaYAbQ9EAAFygpKREjY2NKi4uVktLi3x87Fd/dT7sNjU1ad++fWpqajIiJgB4rOeee87peEFBgSIjI1VTU8OsLriNcePGqbW1tUfXms1mjRkzpp8TAX1H0QAAXKCqqkpz5szRxx9/LJPJpOzsbLvzsbGxkqSUlBTt2LFDaWlpRsQEAI81b948SVJ6errduK+vrwoKCpSTk6M333zTiGiAg0WLFjkUDaqqqjR58mSHWTP+/v7at2/fQMYDesVkY38aAOg34eHhOnLkiNExAMDrtbW1yc+P92FwXzwTwFNxZwWAfpSSkmJ0BAC4KVAwgLv5+9//rpqamq6ZBf/973+1YcMGSdLo0aP16KOPGhkP6DFmGgDAALJarVq7dq3RMQAAQD+79957FR8fL39/f7txm82mzZs368yZMwYlA3qHogEA9KMtW7YoMzOza7eEsLAw1dXVGZwKAAD0t9DQUNXX1/f6HOBufK5/CQCgJxoaGuyOm5ubtW3bNrvtFanTAgBwc/iu7ZXZehmehKIBALjIpEmTtGDBgq7j0tJSh/WKPCQAAHDzaG9vdzre1tY2wEmAvqNoAAAuYjab1draquzsbNlsNhUVFemXv/yl0bEAAIABJkyYoKFDh+q2226z+7r11lsVEBBgdDygxygaAICLBAYGqqSkRDU1NZo1a5ZiYmI0cuRIo2MBAAAD/OlPf1Jzc3PXV1JSkpqbm3X+/Hm2XoRHoWgAAC7k5+ennTt3qqamhq2UAABAl4MHDxodAegTNrQFABcbPny4tm7dKqvVqnfeecfoOAAAYIBlZGTY9S2w2Ww6ffq0Fi5c6PR6s9msoqKigYoH9ApFAwDoB/Hx8SosLNT777+vhx56yOg4AABgAMXFxam1tdVhrDtms7m/IwF9RtEAAFzk2u0UrVarcnJyKBoAAHCTmTVrltERAJehaAAALpKZmWl3PG3aNDU2Nur48eMaN26cQakAAICR9uzZo8rKSn399dcaNWqUoqOj9dOf/tToWECPmWzXvhoDALjM0aNH9YMf/EAWi0WSFBoaqvr6eoNTAQCA/vavf/1LcXFxCgoKUmxsrEaMGKEvv/xS5eXlGjRokMrLyzVkyBCjYwLXRdEAAAZQbm6uVqxYYXQMAADQzx555BHNnTvXYSaiJK1evVpnzpzRH//4RwOSAb1D0QAAXKChocGh4dF38fPzU3BwcD8mAgAARgoODtbp06ednrt48aJ+/OMf69ixYwOcCug9ehoAgAt0dkm+Xh3WZDLJZrPJ399f1dXVA5QOAAAMtEGDBqmhoUGjRo1yOHfs2DGNGDHCgFRA71E0AAAXoAAAAACu9uyzzyoqKkovvfSSoqKiNHToUH3zzTfau3ev1q1bx9IEeAyWJwDAADh8+LAuX76s++67z+goAABggOzdu1dbt25VdXW1zp07p2HDhikyMlJLly5VRESE0fGAHqFoAAAudurUKQUHB8vX11eSdOnSJUVGRmrTpk2aMmWKwekAAACAnvMxOgAAeIuKigpJUnh4uO666y7t2LFDra2tSkpKUmpqKgUDAAAAeByKBgDgIllZWZKkkJAQ7dmzRyUlJRo9erSmTJmiJUuWGJwOAAAA6D2KBgDgYiaTSePHj1dFRYV+/vOfq6qqyuhIAAAAQJ9QNAAAF3HWIiY/P18hISFavny5AYkAAACAG0PRAABc5LnnnnM6XlBQoIMHD6qmpmaAEwEAAAA3hqIBALjIvHnzJEnp6el2476+viooKFBOTo4RsQAAAIA+Y8tFABggbW1t8vPzMzoGAAAA0GMUDQAAAAAAgFMsTwAAAAAAAE5RNAAAAAAAAE5RNAAAAAAAAE5RNAAAAG7p9ddf18yZMzVmzBiNGTNG48aNU0JCgt57771uv6e7Vk0xMTH65z//2V9RAQDwWrTxBgAAbicnJ0fvvvuuCgsLFRERIZPJpI6ODh06dEhPP/20jh49qqeeesrh+4KCgnTy5EkFBATYjbe2tqq1tXWg4gMA4DWYaQAAANxOeXm5cnNzNXnyZJlMJkmSj4+P7r//fr344ov685//7PA9//vf/9Te3u5QMAAAAH1H0QAAALidWbNmKTs7W4cPH+4as9lsqqqq0qpVq5SYmOjwPX/729/U2Nio48ePD2BSAAC8m8nW3eI/AAAAA5WWluqVV17RF198IV9fX/n4+Cg0NFSZmZmaMWOG3bWXLl3S/fffr8jISB0/flx79uzpmqEgSQ8++KDy8vIUEREx0L8NAAA8GkUDAADg0dra2pSamqqRI0cqPz9f6enpamlp0csvv6xbbrlFEkUDAAD6ikaIAADAbeTm5uqVV17p8fXR0dGqqanRtGnTlJeXJ0kqKirSqlWrFBUVpUOHDvVXVAAAbgrMNAAAAB6rpaVFBw4cUExMjMO5pqYmDR48WJL017/+VdHR0Ro2bNhARwQAwKNRNAAAAG6nqKhIGzduVHt7u8M5X19f/frXv9bixYvtxh944AF99dVXTn/e0KFD9e6772ro0KH9khcAAG9F0QAAALidxMREJScna/bs2Q7ndu3ape3bt+utt97q8c+LjIxUYWGhJk2a5MqYAAB4PbZcBAAAbsdmsykgIMDpuYCAAPX2nYefn1+vvwcAAFA0AAAAbshkMnX7Id9ms9ltpwgAAPoPuycAAAC3M3bsWKWnp2vIkCEO586dO6eUlJRe/bzg4GAFBga6KB0AADcPehoAAAAAAACnWJ4AAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACcomgAAAAAAACc+j/fREmjRA7jSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.bar(x=items_payment.index, height=items_payment['판매금액'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('음식')\n",
    "plt.ylabel('판매금액')\n",
    "plt.title('상품별 판매금액')\n",
    "\n",
    "# Y축의 단위 표현을 숫자 그대로 표현하기\n",
    "yticks = np.arange(0, items_payment['판매금액'].max(),500000)\n",
    "plt.yticks(yticks, yticks.astype(int))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90b341e3",
   "metadata": {},
   "source": [
    "## 2-4. 가장 많이 팔린 입장권 종류(entry_data를 이용합니다.)\n",
    "\n",
    "여러 입장권 종류를 판매 매출(판매 개수 x 금액) 순으로 정렬하고 상위 10개를 뽑아 결과를 시각화해봅니다.\n",
    "\n",
    "힌트: value_counts() 함수를 사용하세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "50d48c1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>요금제명</th>\n",
       "      <th>입실</th>\n",
       "      <th>퇴실</th>\n",
       "      <th>이용</th>\n",
       "      <th>위치</th>\n",
       "      <th>금액</th>\n",
       "      <th>구분</th>\n",
       "      <th>고객</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>시간요금제(1시간)</td>\n",
       "      <td>2022-04-01 23:39</td>\n",
       "      <td>2022-04-02 0:39</td>\n",
       "      <td>오전 1:00:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>3000</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer263717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>시간요금제(1시간)</td>\n",
       "      <td>2022-04-01 23:39</td>\n",
       "      <td>2022-04-02 0:39</td>\n",
       "      <td>오전 1:00:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>3000</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer263717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>무제한 입장권</td>\n",
       "      <td>2022-04-01 20:55</td>\n",
       "      <td>2022-04-01 21:41</td>\n",
       "      <td>오전 12:46:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer247263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>무제한 입장권</td>\n",
       "      <td>2022-04-01 20:55</td>\n",
       "      <td>2022-04-01 21:41</td>\n",
       "      <td>오전 12:46:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer247263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>한국대생 무제한 입장권</td>\n",
       "      <td>2022-04-01 19:54</td>\n",
       "      <td>2022-04-01 22:28</td>\n",
       "      <td>오전 2:33:00</td>\n",
       "      <td>선불기2</td>\n",
       "      <td>7400</td>\n",
       "      <td>퇴실</td>\n",
       "      <td>customer388928</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           요금제명                입실                퇴실           이용    위치    금액  \\\n",
       "0    시간요금제(1시간)  2022-04-01 23:39   2022-04-02 0:39   오전 1:00:00  선불기2  3000   \n",
       "1    시간요금제(1시간)  2022-04-01 23:39   2022-04-02 0:39   오전 1:00:00  선불기2  3000   \n",
       "2       무제한 입장권  2022-04-01 20:55  2022-04-01 21:41  오전 12:46:00  선불기2  7400   \n",
       "3       무제한 입장권  2022-04-01 20:55  2022-04-01 21:41  오전 12:46:00  선불기2  7400   \n",
       "4  한국대생 무제한 입장권  2022-04-01 19:54  2022-04-01 22:28   오전 2:33:00  선불기2  7400   \n",
       "\n",
       "   구분              고객  \n",
       "0  퇴실  customer263717  \n",
       "1  퇴실  customer263717  \n",
       "2  퇴실  customer247263  \n",
       "3  퇴실  customer247263  \n",
       "4  퇴실  customer388928  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entry_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "bd135640",
   "metadata": {},
   "outputs": [],
   "source": [
    "aa = entry_data.groupby('요금제명')['금액'].sum().sort_values(ascending=False)[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "f714b629",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "요금제명\n",
       "한국대생 입장권(종일권)      70037000\n",
       "입장권(종일권)           23570500\n",
       "심야-조조무제한(06시까지)    11600000\n",
       "심야-조조무제한            6221000\n",
       "한국대생 무제한 입장권        5207500\n",
       "시간요금제(1시간)          2665500\n",
       "시간요금제(3시간)          2042000\n",
       "무제한 입장권             1568600\n",
       "18시이후 무제한           1330500\n",
       "조조무제한                693000\n",
       "Name: 금액, dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "2a84574b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "sns.barplot(x=aa.values, y=aa.index, color='b')\n",
    "\n",
    "plt.xlabel('금액')\n",
    "plt.ylabel('요금제명')\n",
    "plt.title('가장 많이 팔린 요금제')\n",
    "\n",
    "# X축의 단위 표현을 숫자 그대로 표현하기\n",
    "xticks = np.arange(0, aa.values.max(), 5000000)\n",
    "plt.xticks(xticks, xticks.astype(int))\n",
    "plt.xticks(rotation=30, ha='right')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66eb5859",
   "metadata": {},
   "source": [
    "## 요일별 매출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "cc7993c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "      <th>판매위치</th>\n",
       "      <th>상품명</th>\n",
       "      <th>결제방식</th>\n",
       "      <th>비고</th>\n",
       "      <th>판매수량</th>\n",
       "      <th>결제금액</th>\n",
       "      <th>고객</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>치킨카라아케 6pc</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4,500</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>짜장라면(계란추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5,500</td>\n",
       "      <td>customer275507</td>\n",
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       "      <th>2</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>4,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>비엔나소세지(토핑)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>1,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-01 19:41</td>\n",
       "      <td>선불기1</td>\n",
       "      <td>라면(계란/치즈추가)</td>\n",
       "      <td>신용카드</td>\n",
       "      <td>결제완료</td>\n",
       "      <td>1</td>\n",
       "      <td>5,000</td>\n",
       "      <td>customer275507</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               결제일시  판매위치          상품명  결제방식    비고  판매수량   결제금액  \\\n",
       "0  2022-04-01 19:41  선불기1   치킨카라아케 6pc  신용카드  결제완료     1  4,500   \n",
       "1  2022-04-01 19:41  선불기1   짜장라면(계란추가)  신용카드  결제완료     1  5,500   \n",
       "2  2022-04-01 19:41  선불기1           라면  신용카드  결제완료     1  4,000   \n",
       "3  2022-04-01 19:41  선불기1   비엔나소세지(토핑)  신용카드  결제완료     1  1,000   \n",
       "4  2022-04-01 19:41  선불기1  라면(계란/치즈추가)  신용카드  결제완료     1  5,000   \n",
       "\n",
       "               고객  \n",
       "0  customer275507  \n",
       "1  customer275507  \n",
       "2  customer275507  \n",
       "3  customer275507  \n",
       "4  customer275507  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data = pd.read_csv('/aiffel/data/sales_data.csv')\n",
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "d47ff3be",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_data['결제일시'] = pd.to_datetime(sales_data['결제일시'])\n",
    "sales_data['결제금액'] = sales_data['결제금액'].str.replace(',','').astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "37805c1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>1</td>\n",
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       "      <td>customer275507</td>\n",
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      "text/plain": [
       "                 결제일시  판매위치          상품명  결제방식    비고  판매수량  결제금액  \\\n",
       "0 2022-04-01 19:41:00  선불기1   치킨카라아케 6pc  신용카드  결제완료     1  4500   \n",
       "1 2022-04-01 19:41:00  선불기1   짜장라면(계란추가)  신용카드  결제완료     1  5500   \n",
       "2 2022-04-01 19:41:00  선불기1           라면  신용카드  결제완료     1  4000   \n",
       "3 2022-04-01 19:41:00  선불기1   비엔나소세지(토핑)  신용카드  결제완료     1  1000   \n",
       "4 2022-04-01 19:41:00  선불기1  라면(계란/치즈추가)  신용카드  결제완료     1  5000   \n",
       "\n",
       "               고객  \n",
       "0  customer275507  \n",
       "1  customer275507  \n",
       "2  customer275507  \n",
       "3  customer275507  \n",
       "4  customer275507  "
      ]
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     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "f825f929",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 날짜 데이터를 이용하여 요일 정보 추출\n",
    "sales_data['weekday'] = sales_data['결제일시'].apply(lambda x: x.weekday())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "3207840c",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>7100</th>\n",
       "      <td>2021-02-17 14:21:00</td>\n",
       "      <td>카운터</td>\n",
       "      <td>아메리카노(HOT)</td>\n",
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       "    <tr>\n",
       "      <th>7101</th>\n",
       "      <td>2021-02-17 13:51:00</td>\n",
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       "      <td>2</td>\n",
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       "<p>7105 rows × 9 columns</p>\n",
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      ],
      "text/plain": [
       "                    결제일시  판매위치          상품명  결제방식    비고  판매수량  결제금액  \\\n",
       "0    2022-04-01 19:41:00  선불기1   치킨카라아케 6pc  신용카드  결제완료     1  4500   \n",
       "1    2022-04-01 19:41:00  선불기1   짜장라면(계란추가)  신용카드  결제완료     1  5500   \n",
       "2    2022-04-01 19:41:00  선불기1           라면  신용카드  결제완료     1  4000   \n",
       "3    2022-04-01 19:41:00  선불기1   비엔나소세지(토핑)  신용카드  결제완료     1  1000   \n",
       "4    2022-04-01 19:41:00  선불기1  라면(계란/치즈추가)  신용카드  결제완료     1  5000   \n",
       "...                  ...   ...          ...   ...   ...   ...   ...   \n",
       "7100 2021-02-17 14:21:00   카운터   아메리카노(HOT)    현금  결제취소    -1 -3500   \n",
       "7101 2021-02-17 13:51:00  선불기2    카페모카(HOT)  신용카드  결제완료     1  4500   \n",
       "7102 2021-02-17 13:51:00  선불기2    카페모카(HOT)  신용카드  판매취소    -1 -4500   \n",
       "7103 2021-02-17 13:26:00   카운터    카페라떼(HOT)  신용카드  결제완료     1  4000   \n",
       "7104 2021-02-17 13:27:00   카운터    카페라떼(HOT)  신용카드  판매취소    -1 -4000   \n",
       "\n",
       "                  고객  weekday  \n",
       "0     customer275507        4  \n",
       "1     customer275507        4  \n",
       "2     customer275507        4  \n",
       "3     customer275507        4  \n",
       "4     customer275507        4  \n",
       "...              ...      ...  \n",
       "7100             NaN        2  \n",
       "7101             NaN        2  \n",
       "7102             NaN        2  \n",
       "7103             NaN        2  \n",
       "7104             NaN        2  \n",
       "\n",
       "[7105 rows x 9 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "38ec003b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 요일별 매출 합계 계산\n",
    "weekday_sales = sales_data.groupby('weekday')['결제금액'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "467546a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 요일별 매출 시각화\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=weekday_sales.index, y=weekday_sales.values)\n",
    "plt.xticks([0, 1, 2, 3, 4, 5, 6], ['월', '화', '수', '목', '금', '토', '일'])\n",
    "plt.xlabel('요일')\n",
    "plt.ylabel('매출액')\n",
    "plt.title('요일별 매출액')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edde98ce",
   "metadata": {},
   "source": [
    "## 시간별 매출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "01b87106",
   "metadata": {},
   "outputs": [],
   "source": [
    "sales_data['hour'] = sales_data['결제일시'].dt.hour\n",
    "hourly_sales = sales_data.groupby('hour')['결제금액'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "5fae1755",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 요일별 매출 시각화\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=hourly_sales.index, y=hourly_sales.values)\n",
    "plt.xlabel('시간')\n",
    "plt.ylabel('매출액')\n",
    "plt.title('시간별 매출액')\n",
    "plt.show()"
   ]
  }
 ],
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