covid_excess_deaths.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from lib.util import retrieveDataFile, reds\n",
    "from lib.plot import covid_boxplot, DEFAULT_LABELS, DEFAULT_COL_NAMES\n",
    "from lib.data import prepare_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Deaths in Austria from 2000 (excl. deaths abroad) by calendar week\n",
    "\n",
    "Source: https://data.statistik.gv.at/web/meta.jsp?dataset=OGD_gest_kalwo_GEST_KALWOCHE_100  \n",
    "\n",
    "Note: updated on thursday mornings (?)\n",
    "\n",
    "Concrete data URL: https://data.statistik.gv.at/data/OGD_gest_kalwo_GEST_KALWOCHE_100.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dictionary\n",
    "#  - key:   ISO 3166-1 alpha-2 country code\n",
    "#  - value: URL\n",
    "data_sources = {\n",
    "    'at' : 'https://data.statistik.gv.at/data/OGD_gest_kalwo_GEST_KALWOCHE_100.csv',\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So far we only process data for Austria, but we are prepared to do so for more countries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "for (country, url) in data_sources.items():\n",
    "    retrieveDataFile(url, country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>C-KALWOCHE-0</th>\n",
       "      <th>deaths</th>\n",
       "      <th>year</th>\n",
       "      <th>week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KALW-200001</td>\n",
       "      <td>1867</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KALW-200002</td>\n",
       "      <td>1902</td>\n",
       "      <td>2000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KALW-200003</td>\n",
       "      <td>2027</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KALW-200004</td>\n",
       "      <td>1940</td>\n",
       "      <td>2000</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KALW-200005</td>\n",
       "      <td>1928</td>\n",
       "      <td>2000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>KALW-200006</td>\n",
       "      <td>1760</td>\n",
       "      <td>2000</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>KALW-200007</td>\n",
       "      <td>1666</td>\n",
       "      <td>2000</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>KALW-200008</td>\n",
       "      <td>1628</td>\n",
       "      <td>2000</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KALW-200009</td>\n",
       "      <td>1566</td>\n",
       "      <td>2000</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>KALW-200010</td>\n",
       "      <td>1524</td>\n",
       "      <td>2000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  C-KALWOCHE-0  deaths  year  week\n",
       "0  KALW-200001    1867  2000     1\n",
       "1  KALW-200002    1902  2000     2\n",
       "2  KALW-200003    2027  2000     3\n",
       "3  KALW-200004    1940  2000     4\n",
       "4  KALW-200005    1928  2000     5\n",
       "5  KALW-200006    1760  2000     6\n",
       "6  KALW-200007    1666  2000     7\n",
       "7  KALW-200008    1628  2000     8\n",
       "8  KALW-200009    1566  2000     9\n",
       "9  KALW-200010    1524  2000    10"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df = prepare_df['at']()\n",
    "result_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49\n"
     ]
    }
   ],
   "source": [
    "# max KW (when was the last update)\n",
    "print(result_df[result_df[DEFAULT_COL_NAMES.year] == 2020][DEFAULT_COL_NAMES.week].max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Publishing data\n",
    "\n",
    "for now just to CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#result_df.to_csv('death_per_kw.csv', sep =';', index=False) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "covid_boxplot(result_df, labels=DEFAULT_LABELS['de'])"
   ]
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}