px3

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "60723dfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 6하원칙\n",
    "# 누가 군인들\n",
    "# 언제 정의에서 기간 정의\n",
    "# 어디서 PX에서\n",
    "# 무엇을 \n",
    "# 어떻게 \n",
    "# 왜 \n",
    "# 주제 : 데이터 기간동안 px의 인기상품 변화를 큰틀에서 보여주고 여름에 음료가 많이 팔리는데 음료 변화의 구체적 동향 소개"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3918c738",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 라이브러리 import\n",
    "import pandas as pd\n",
    "import datetime\n",
    "### 기타\n",
    "from IPython.display import display_html\n",
    "from IPython.display import HTML, display\n",
    "from IPython.display import Image\n",
    "import ipywidgets as widgets\n",
    "import warnings\n",
    "## 그래프\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import bar_chart_race as bcr\n",
    "import matplotlib.font_manager as fm\n",
    "import plotly.graph_objs as go"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f32aaf6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터 불러오기\n",
    "df = pd.read_csv('국방부 PX 인기상품 정보_20210228.csv',encoding='cp949')\n",
    "# 데이터 기본 전처리\n",
    "df = df.drop(columns='행번호')\n",
    "df['상품명'] = df['상품명'].str.replace(\"(\",\"\", regex=True).str.replace(\")\",\"\", regex=True).str.replace(\"_\",\"\").str.replace(\" \",\"\").str.replace(\"㎖\",\"ml\").str.replace(\"ML\",\"ml\")\n",
    "# 경고 제거\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1afb64d2",
   "metadata": {},
   "source": [
    "# PX 인기상품의 변화"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11c2404d",
   "metadata": {},
   "source": [
    "들어가는말<p>\n",
    "안녕하세요. px 데이터 분석 마지막 시간입니다.<p>\n",
    "이상입니다.\n",
    "    \n",
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fb9e5fa",
   "metadata": {},
   "source": [
    "## 목차\n",
    "#### 단어 정의 및 데이터 명세\n",
    "#### 서론\n",
    "- 어떻게 분석할 것인가?\n",
    "- 어떤 데이터를 사용 할 것인가?\n",
    "- 데이터 전처리 과정\n",
    "\n",
    "#### 본론\n",
    "###### 전체상품\n",
    "- 분석자료\n",
    "- 데이터 시각화\n",
    "\n",
    "###### 여름 음료 변화\n",
    "- 여름 음료 변화 개요\n",
    "- 분석 자료\n",
    "- 데이터 시각화\n",
    "\n",
    "#### 결론\n",
    "- 결과 요약\n",
    "- 분석 한계\n",
    "\n",
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bc5abee",
   "metadata": {},
   "source": [
    "<font size=4>단어 정의</font><p>\n",
    "- 수량기준 : 선정기준을 수량으로 한 데이터\n",
    "- 금액기준 : 선정기준을 금액으로 한 데이터\n",
    "- 인기상품 : px에서 월별 선정기준에 따라 선정된 상품\n",
    "- 음료 :물을 제외할까말까 제외한 마시는 상품\n",
    "- 여름 : 6월, 7월, 8월로 한정"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e187b9d0",
   "metadata": {},
   "source": [
    "<font size=4>데이터명세</font><p>\n",
    "제공: 국방부<p>\n",
    "기간 : 2015년 4월 부터 2021년 2월까지의 데이터<p>\n",
    "간단 데이터 설명 : 2015년 4월 부터 2021년 2월 까지 px에서 수량기준으로 했을 때 월별 인기 상품 10개와 금액기준으로 했을 때 월별 인기 상품 10<br>\n",
    "> ex) 2016년 3월 수량기준 인기상품 = 2016년 3월 한달을 기준으로 px에서 판매 수량이 높은 상품 10개<br>\n",
    "> ex) 2016년 3월 금액기준 인기상품 = 2016년 3월 한달을 기준으로 px에서 판매 금액이 높은 상품 10개<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "4fcc672c",
   "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>판매년도</th>\n",
       "      <th>판매월</th>\n",
       "      <th>선정기준</th>\n",
       "      <th>상품명</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>금액</td>\n",
       "      <td>LGU군인카드</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>금액</td>\n",
       "      <td>공화춘자장컵</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>금액</td>\n",
       "      <td>듀이트리울트라바이탈라이징스네일크림</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>금액</td>\n",
       "      <td>맥심모카골드마일드커피믹스</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>금액</td>\n",
       "      <td>박카스에이캔</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>테라캔355ml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>참이슬fresh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>카스맥주캔</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>코카콜라</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1419</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>몬스터에너지울트라</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1420 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      판매년도  판매월 선정기준                 상품명\n",
       "0     2015    4   금액             LGU군인카드\n",
       "1     2015    4   금액              공화춘자장컵\n",
       "2     2015    4   금액  듀이트리울트라바이탈라이징스네일크림\n",
       "3     2015    4   금액       맥심모카골드마일드커피믹스\n",
       "4     2015    4   금액              박카스에이캔\n",
       "...    ...  ...  ...                 ...\n",
       "1415  2021    2   수량            테라캔355ml\n",
       "1416  2021    2   수량            참이슬fresh\n",
       "1417  2021    2   수량               카스맥주캔\n",
       "1418  2021    2   수량                코카콜라\n",
       "1419  2021    2   수량           몬스터에너지울트라\n",
       "\n",
       "[1420 rows x 4 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4959d27",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6b4a867",
   "metadata": {},
   "source": [
    "## 서론"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d6b6917",
   "metadata": {},
   "source": [
    "어떻게 분석할것인가?<p>\n",
    "- 선정기준에 관계 없이 2015년 4월 부터 2021년 2월까지 인기상품의 변화를 한번 본다.\n",
    "- 음료가 어떤식으로 변화했는지 살펴본다.\n",
    "- 월별 인기상품 리스트에 오른 상품명의 갯수를 세어 누적 그래프를 그려 인기상품의 변화량을 알아본다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6af1aac1",
   "metadata": {},
   "source": [
    "어떤 데이터를 사용할 것인가?\n",
    "- 금액기준이 아닌 수량기준으로만 데이터 분석을 시행.(수량기준이 더 적합하다고 판단.)\n",
    "- 6,7,8월의 여름동안 음료 상품만 가지고 분석을 진행"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caa41661",
   "metadata": {},
   "source": [
    "데이터 전처리 과정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d25eb629",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.astype({'판매년도':'str','판매월':'str'}) # 판매년도 값과 판매월 값을 datetime 함수 사용을 위해 문자열로 변환\n",
    "df['time'] = df[['판매년도','판매월']].agg('/'.join, axis=1) # 2015/2 형식으로 붙여서 새로운 열 생성\n",
    "df['time'] = pd.to_datetime(df['time'],format=\"%Y/%m\",) # 생성한 열을 datetime 형식으로 변경\n",
    "df['time'] = pd.to_datetime(df['time']) + pd.offsets.MonthEnd() # 일자 추가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "10438426",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>판매년도</th>\n",
       "      <th>판매월</th>\n",
       "      <th>선정기준</th>\n",
       "      <th>상품명</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>수량</td>\n",
       "      <td>코카콜라250ml</td>\n",
       "      <td>2015-04-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>수량</td>\n",
       "      <td>포카리캔</td>\n",
       "      <td>2015-04-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>수량</td>\n",
       "      <td>칠성사이다캔</td>\n",
       "      <td>2015-04-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>수량</td>\n",
       "      <td>조지아맥스</td>\n",
       "      <td>2015-04-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>수량</td>\n",
       "      <td>박카스에이캔</td>\n",
       "      <td>2015-04-30</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>1379</th>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "      <td>수량</td>\n",
       "      <td>몬스터에너지울트라</td>\n",
       "      <td>2020-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>수량</td>\n",
       "      <td>몬스터에너지울트라</td>\n",
       "      <td>2021-01-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1398</th>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>수량</td>\n",
       "      <td>코카콜라</td>\n",
       "      <td>2021-01-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>코카콜라</td>\n",
       "      <td>2021-02-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1419</th>\n",
       "      <td>2021</td>\n",
       "      <td>2</td>\n",
       "      <td>수량</td>\n",
       "      <td>몬스터에너지울트라</td>\n",
       "      <td>2021-02-28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>312 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      판매년도 판매월 선정기준        상품명       time\n",
       "10    2015   4   수량  코카콜라250ml 2015-04-30\n",
       "11    2015   4   수량       포카리캔 2015-04-30\n",
       "12    2015   4   수량     칠성사이다캔 2015-04-30\n",
       "13    2015   4   수량      조지아맥스 2015-04-30\n",
       "15    2015   4   수량     박카스에이캔 2015-04-30\n",
       "...    ...  ..  ...        ...        ...\n",
       "1379  2020  12   수량  몬스터에너지울트라 2020-12-31\n",
       "1397  2021   1   수량  몬스터에너지울트라 2021-01-31\n",
       "1398  2021   1   수량       코카콜라 2021-01-31\n",
       "1418  2021   2   수량       코카콜라 2021-02-28\n",
       "1419  2021   2   수량  몬스터에너지울트라 2021-02-28\n",
       "\n",
       "[312 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#음료데이터만 추출\n",
    "df_drink = df[(df['상품명']=='박카스에이캔') | (df['상품명']=='칠성사이다캔') | (df['상품명']=='코카콜라250ml') | (df['상품명']=='코카콜라') \n",
    "   | (df['상품명']=='포카리캔') | (df['상품명']=='조지아맥스') | (df['상품명']=='초코에몽') \n",
    "   | (df['상품명']=='코코팜화이트요구르트') | (df['상품명']=='코카콜라1.5L') | (df['상품명']=='환타오렌지') \n",
    "   | (df['상품명']=='코카콜라600ml') | (df['상품명']=='스프라이트') | (df['상품명']=='암바사캔') \n",
    "   | (df['상품명']=='포카리스웨트분말') | (df['상품명']=='파워에이드마운틴블라스트') | (df['상품명']=='딸기꿀단지') \n",
    "   | (df['상품명']=='몬스터에너지울트라') | (df['상품명']=='오로나민C')]\n",
    "#수량기준 추출\n",
    "df_drink = df_drink[df_drink['선정기준']=='수량']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7a9a0d9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 전체\n",
    "df['cumcount'] =  df.groupby('상품명').cumcount()+1 # 상품명 나온 수만큼 누적 카운트 횟수 추가\n",
    "df.set_index('time') #시간을 기준으로 인덱스 생성\n",
    "df = df.pivot_table(values='cumcount', index='time', columns='상품명',aggfunc='first') # 누적 카운트 횟수를 값으로 하고 상품명을 열로 가지는 새로운 데이터프레임 생성\n",
    "df.iloc[0] = df.iloc[0].fillna(0) # 첫번째 행에서 NaN값을 0으로 채우기\n",
    "df = df.fillna(method='pad')\n",
    "\n",
    "#음료&수량\n",
    "df_drink.set_index('time',inplace=True) #시간을 기준으로 인덱스 생성\n",
    "df_drink = df_drink[(df_drink.index.month == 6) | (df_drink.index.month == 7) | (df_drink.index.month == 8)] # 6월7월8월 데이터 추출\n",
    "df_drink['cumcount'] = df_drink.groupby('상품명').cumcount()+1 # 상품명 나온 수만큼 누적 카운트 횟수 추가\n",
    "df_drink = df_drink.pivot_table(values='cumcount',index='time',columns='상품명',aggfunc='first')\n",
    "df_drink.iloc[0] = df_drink.iloc[0].fillna(0) # 첫번째 행에서 NaN값을 0으로 채우기\n",
    "df_drink = df_drink.fillna(method='pad') # 나머지 결측값 이전 행 값으로 채우기"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a60d52e3",
   "metadata": {},
   "source": [
    "## 본론"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "71b479d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 폰트 경로 찾기\n",
    "# font_list = fm.findSystemFonts(fontpaths=None, fontext='otf')\n",
    "# for font_list in font_list:\n",
    "#     print(font_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a80978d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 한글 폰트 설정\n",
    "fontpath = '/System/Library/AssetsV2/com_apple_MobileAsset_Font6/4c5fb4ab37ef16487d14e6bfa70a8b98f7e1efa8.asset/AssetData/BMJUA_otf.otf'\n",
    "font_name = fm.FontProperties(fname=fontpath, size=10).get_name()\n",
    "plt.rc('font', family=font_name)\n",
    "fm._rebuild()\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13c1ce6c",
   "metadata": {},
   "source": [
    "### 전체상품"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0763c2e",
   "metadata": {},
   "source": [
    "선정기준에 관계 없이 데이터에 제공된 총 기간 동안 인기상품에 어떠한 변화가 있는지 알아보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1b839f8c",
   "metadata": {},
   "outputs": [
    {
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       "ABRzdGNvAAAAAAAAAAEAAAAwAAAAYnVkdGEAAABabWV0YQAAAAAAAAAhaGRscgAAAAAAAAAAbWRp\n",
       "cmFwcGwAAAAAAAAAAAAAAAAtaWxzdAAAACWpdG9vAAAAHWRhdGEAAAABAAAAAExhdmY1OC43Ni4x\n",
       "MDA=\n",
       "\">\n",
       "  Your browser does not support the video tag.\n",
       "</video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 전체 그래프\n",
    "bcr.bar_chart_race(\n",
    "    df=df,\n",
    "    orientation='h',\n",
    "    sort='desc',\n",
    "    n_bars=10,\n",
    "    fixed_order=False,\n",
    "    fixed_max=True,\n",
    "    steps_per_period=3,\n",
    "    label_bars=True,\n",
    "    bar_size=.75,\n",
    "    filter_column_colors=False,\n",
    "    dpi=120,\n",
    "    figsize=(5,4),\n",
    "    title=\"인기상품 변화\",\n",
    "    title_size=20,\n",
    "    bar_label_size=9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3dc9f37",
   "metadata": {},
   "source": [
    "변화가 많이 없는걸로 보아, 과거부터 현재까지 꾸준히 인기있는 상품이 계속해서 인기 상품에 오르는걸 볼 수 있었습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a35230b6",
   "metadata": {},
   "source": [
    "### 여름 음료 변화"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bcf6680f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\">\n",
       "  Your browser does not support the video tag.\n",
       "</video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bcr.bar_chart_race(\n",
    "    df=df_drink,\n",
    "    orientation='h',\n",
    "    sort='desc',\n",
    "    n_bars=10,\n",
    "    fixed_order=False,\n",
    "    fixed_max=True,\n",
    "    steps_per_period=3,\n",
    "    label_bars=True,\n",
    "    bar_size=.75,\n",
    "    filter_column_colors=False,\n",
    "    dpi=120,\n",
    "    figsize=(5,4),\n",
    "    title=\"인기상품 변화\",\n",
    "    title_size=20,\n",
    "    bar_label_size=9)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc511d8f",
   "metadata": {},
   "source": [
    "음료 변화 개요"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "67fffd55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "몬스터에너지울트라",
         "type": "scatter",
         "x": [
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          "2015-07-31T00:00:00",
          "2015-08-31T00:00:00",
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          "2017-06-30T00:00:00",
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         "y": [
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         ]
        },
        {
         "name": "박카스에이캔",
         "type": "scatter",
         "x": [
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        {
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         "type": "scatter",
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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure()\n",
    "\n",
    "for column in df_drink.columns:\n",
    "    fig.add_trace(go.Scatter(x=df_drink.index, y=df_drink[column],name=column))\n",
    "    \n",
    "#fig.update_yaxes(autorange=\"reversed\")\n",
    "\n",
    "fig.update_layout(\n",
    "    title=\"꺾은선 그래프\",\n",
    "    xaxis_title=\"날짜\",\n",
    "    yaxis_title='누적갯수',\n",
    "    width = 800,\n",
    "    height = 800)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d41c66a",
   "metadata": {},
   "source": [
    "분석 자료\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c29dc2d",
   "metadata": {},
   "source": [
    "데이터 시각화"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a71e2696",
   "metadata": {},
   "source": [
    "## 결론"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e43f9133",
   "metadata": {},
   "source": [
    "결과요약 <br>\n",
    "분석한계"
   ]
  }
 ],
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