yong27/COVID19-analysis-0305.ipynb

## COVID19-analysis-0305.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 코로나바이러스감염증-19 감염현황 데이터 분석 (03-05 00:00 현재)\n",
    "\n",
    "질병관리본부에서 매일 발표하고 있는 일일 집계 현황을 다음의 구글 시트에 별도로 저장한 후, 이를 분석합니다.\n",
    "\n",
    "https://docs.google.com/spreadsheets/d/1nqc9A9M5QJgSnjkErWeyDS4KTiLB1N9VjHd3T6k69hE/\n",
    "\n",
    "활용 가능한 데이터가 추가되는대로 계속 보완합니다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from io import BytesIO\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib 차트 한글폰트 설정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rc('font', family='AppleGothic')\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "구글시트에 정리된 데이터를 가져옵니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = requests.get('https://docs.google.com/spreadsheet/ccc?key=1nqc9A9M5QJgSnjkErWeyDS4KTiLB1N9VjHd3T6k69hE&output=csv')\n",
    "df = pd.read_csv(BytesIO(r.content), index_col=0, skiprows=1).iloc[2:, :-4]\n",
    "df.columns = [c.replace('\\n', ' ') for c in df.columns]\n",
    "df.index = pd.to_datetime([f'2020-{i}' for i in df.index])\n",
    "df['대구'] = df['대구'].str.replace(',', '').astype(float)\n",
    "df['확진자'] = df['확진자'].str.replace(',', '').astype(float)\n",
    "df['검사수'] = df['검사수'].str.replace(',', '').astype(float)\n",
    "df = df.replace(np.nan, 0).sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>서울</th>\n",
       "      <th>부산</th>\n",
       "      <th>대구</th>\n",
       "      <th>인천</th>\n",
       "      <th>광주</th>\n",
       "      <th>대전</th>\n",
       "      <th>울산</th>\n",
       "      <th>세종</th>\n",
       "      <th>경기</th>\n",
       "      <th>강원</th>\n",
       "      <th>...</th>\n",
       "      <th>전남</th>\n",
       "      <th>경북</th>\n",
       "      <th>경남</th>\n",
       "      <th>제주</th>\n",
       "      <th>지역  모름</th>\n",
       "      <th>확진자</th>\n",
       "      <th>사망</th>\n",
       "      <th>격리  해제</th>\n",
       "      <th>검사수</th>\n",
       "      <th>양성  비율(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-23</th>\n",
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       "      <td>22.0</td>\n",
       "      <td>4.55</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-24</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>25.0</td>\n",
       "      <td>4.00</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>1.75</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
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       "             서울   부산   대구   인천   광주   대전   울산   세종   경기   강원  ...   전남   경북  \\\n",
       "2020-01-23  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "2020-01-24  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "2020-01-25  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "2020-01-26  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "2020-01-27  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "\n",
       "             경남   제주  지역  모름  확진자   사망  격리  해제   검사수  양성  비율(%)  \n",
       "2020-01-23  0.0  0.0     1.0  1.0  0.0     0.0  22.0       4.55  \n",
       "2020-01-24  0.0  0.0     1.0  1.0  0.0     0.0  25.0       4.00  \n",
       "2020-01-25  0.0  0.0     0.0  0.0  0.0     0.0   0.0       0.00  \n",
       "2020-01-26  0.0  0.0     1.0  1.0  0.0     0.0  48.0       2.08  \n",
       "2020-01-27  0.0  0.0     1.0  1.0  0.0     0.0  57.0       1.75  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "누적값을 별도 컬럼에 추가합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>서울</th>\n",
       "      <th>부산</th>\n",
       "      <th>대구</th>\n",
       "      <th>인천</th>\n",
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       "      <th>세종</th>\n",
       "      <th>경기</th>\n",
       "      <th>강원</th>\n",
       "      <th>...</th>\n",
       "      <th>전남 누적</th>\n",
       "      <th>경북 누적</th>\n",
       "      <th>경남 누적</th>\n",
       "      <th>제주 누적</th>\n",
       "      <th>지역  모름 누적</th>\n",
       "      <th>확진자 누적</th>\n",
       "      <th>사망 누적</th>\n",
       "      <th>격리  해제 누적</th>\n",
       "      <th>검사수 누적</th>\n",
       "      <th>양성  비율(%) 누적</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>2020-01-23</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>8.55</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>95.0</td>\n",
       "      <td>10.63</td>\n",
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      "text/plain": [
       "             서울   부산   대구   인천   광주   대전   울산   세종   경기   강원  ...  전남 누적  \\\n",
       "2020-01-23  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...    0.0   \n",
       "2020-01-24  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...    0.0   \n",
       "2020-01-25  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...    0.0   \n",
       "2020-01-26  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...    0.0   \n",
       "2020-01-27  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...    0.0   \n",
       "\n",
       "            경북 누적  경남 누적  제주 누적  지역  모름 누적  확진자 누적  사망 누적  격리  해제 누적  검사수 누적  \\\n",
       "2020-01-23    0.0    0.0    0.0        1.0     1.0    0.0        0.0    22.0   \n",
       "2020-01-24    0.0    0.0    0.0        2.0     2.0    0.0        0.0    47.0   \n",
       "2020-01-25    0.0    0.0    0.0        2.0     2.0    0.0        0.0    47.0   \n",
       "2020-01-26    0.0    0.0    0.0        3.0     3.0    0.0        0.0    95.0   \n",
       "2020-01-27    0.0    0.0    0.0        4.0     4.0    0.0        0.0   152.0   \n",
       "\n",
       "            양성  비율(%) 누적  \n",
       "2020-01-23          4.55  \n",
       "2020-01-24          8.55  \n",
       "2020-01-25          8.55  \n",
       "2020-01-26         10.63  \n",
       "2020-01-27         12.38  \n",
       "\n",
       "[5 rows x 46 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for c in df.columns:\n",
    "    df[f'{c} 누적'] = df[c].cumsum()\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['누적 양성비율'] = 100 * df['확진자 누적'] / df['검사수 누적']\n",
    "df['누적 사망율'] = 100 * df['사망 누적'] / df['확진자 누적']\n",
    "df['누적 대구경북'] = 100 * (df['대구 누적'] + df['경북 누적']) / df['확진자 누적']\n",
    "df['누적 완치율'] = 100 * df['격리  해제 누적'] / df['확진자 누적']\n",
    "df = df.loc['2020-02-15':]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "차트를 그립니다. 가능한 한장의 차트에 모든 정보를 담을 수 있도록 노력합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "color = 'tab:green'\n",
    "ax1.set_xlabel('날짜')\n",
    "ax1.set_ylabel('확진자 수 (대구경북/전국)', color=color)\n",
    "#ax1.set_ylim(0, 1000)\n",
    "plt.bar(x=df.index, height=df['확진자'], color=color, alpha=0.6)\n",
    "plt.bar(x=df.index, height=df['대구']+df['경북'], color=\"tab:blue\", alpha=0.6)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
    "\n",
    "color = 'tab:red'\n",
    "ax2.set_ylabel('누적 양성비율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax2.plot(df['누적 양성비율'], color=color)\n",
    "ax2.set_ylim(0., 5.)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "color = 'tab:orange'\n",
    "ax3 = ax1.twinx()\n",
    "ax3.spines[\"right\"].set_position((\"axes\", 1.10))\n",
    "ax3.set_ylabel('누적 사망율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax3.plot(df['누적 사망율'], color=color)\n",
    "ax3.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax4 = ax1.twinx()\n",
    "ax4.spines[\"right\"].set_position((\"axes\", 1.21))\n",
    "ax4.set_ylabel('누적 대구경북 비율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax4.plot(df['누적 대구경북'], color=color)\n",
    "ax4.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "color = 'tab:brown'\n",
    "ax5 = ax1.twinx()\n",
    "ax5.spines[\"right\"].set_position((\"axes\", 1.32))\n",
    "ax5.set_ylabel('누적 완치율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax5.plot(df['누적 완치율'], color=color)\n",
    "ax5.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "#plt.xticks(rotation=90)\n",
    "fig.autofmt_xdate()\n",
    "fig.tight_layout()  # otherwise the right y-label is slightly clipped\n",
    "plt.title('코로나바이러스감염증-19 감염현황 (03-04 00:00 현재)')\n",
    "\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.savefig('covid19-stat-0304.png', dpi=200, format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "\n",
    "ax1 = fig.add_subplot(2, 1, 1)\n",
    "color = 'tab:green'\n",
    "ax1.set_xlabel('날짜')\n",
    "ax1.set_ylabel('확진자 수 (대구경북/전국)', color=color)\n",
    "plt.bar(x=df.index, height=df['확진자'], color=color, alpha=0.5)\n",
    "plt.bar(x=df.index, height=df['대구']+df['경북'], color=\"tab:blue\", alpha=0.5)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "ax1.set_title('코로나바이러스감염증-19 감염현황 (03-05 00:00 현재)')\n",
    "ax1.xaxis.set_minor_locator(mdates.MonthLocator())\n",
    "plt.setp(ax1.get_xticklabels(), visible=True)\n",
    "\n",
    "ax2 = ax1.twinx()  # instantiate a second axes that shares the same x-axis\n",
    "color = 'tab:red'\n",
    "ax2.set_ylabel('누적 양성비율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax2.plot(df['누적 양성비율'], color=color)\n",
    "ax2.set_ylim(0., 5.)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "ax3 = ax1.twinx()\n",
    "color = 'tab:orange'\n",
    "ax3.spines[\"right\"].set_position((\"axes\", 1.10))\n",
    "ax3.set_ylabel('누적 사망율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax3.plot(df['누적 사망율'], color=color)\n",
    "ax3.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "ax4 = ax1.twinx()\n",
    "color = 'tab:blue'\n",
    "ax4.spines[\"right\"].set_position((\"axes\", 1.21))\n",
    "ax4.set_ylabel('누적 대구경북 비율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax4.plot(df['누적 대구경북'], color=color)\n",
    "ax4.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "ax5 = ax1.twinx()\n",
    "color = 'tab:brown'\n",
    "ax5.spines[\"right\"].set_position((\"axes\", 1.32))\n",
    "ax5.set_ylabel('누적 완치율(%)', color=color)  # we already handled the x-label with ax1\n",
    "ax5.plot(df['누적 완치율'], color=color)\n",
    "ax5.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "axb = fig.add_subplot(2,2,3)\n",
    "axb.set_title('지역별 확진자 (대구경북 제외)')\n",
    "wotk = list(df.columns[:17])\n",
    "wotk.remove('대구')\n",
    "wotk.remove('경북')\n",
    "df[wotk].sum().sort_values().plot(kind='barh', ax=axb)\n",
    "\n",
    "axb2 = fig.add_subplot(2,2,4)\n",
    "axb2.set_title('확진자 상위5지역 누적')\n",
    "df[['서울 누적', '경기 누적', '부산 누적', '충남 누적', '경남 누적']].plot(ax=axb2)\n",
    "axb2.legend(loc='upper left', bbox_to_anchor=(1.1, 1))\n",
    "axb2.xaxis.set_minor_locator(mdates.MonthLocator())\n",
    "\n",
    "fig.tight_layout()\n",
    "#fig.autofmt_xdate()\n",
    "plt.savefig('covid19-stat-0305.png', dpi=200, format='png')"
   ]
  },
  {
   "cell_type": "code",
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