yong27/COVID19-analysis-0306.ipynb

## COVID19-analysis-0306.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 코로나바이러스감염증-19 감염현황 데이터 분석 (03-06 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": 85,
   "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": 86,
   "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": 87,
   "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": 88,
   "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",
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       "      <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",
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       "      <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",
       "      <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>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>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",
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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": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "누적값을 별도 컬럼에 추가합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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",
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       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>95.0</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": 89,
     "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": 90,
   "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": 91,
   "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 (03-06 00:00 현재)')\n",
    "\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.savefig('covid19-stat-0306.png', dpi=200, format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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 (03-06 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\", 1.23))\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\", 1.35))\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-0306.png', dpi=200, format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}