"
],
"text/plain": [
" Province/State Country/Region Lat Long \\\n",
"166 Aruba Netherlands 12.5186 -70.0358 \n",
"167 Curacao Netherlands 12.1696 -68.9900 \n",
"168 Sint Maarten Netherlands 18.0425 -63.0548 \n",
"169 NaN Netherlands 52.1326 5.2913 \n",
"255 Bonaire, Sint Eustatius and Saba Netherlands 12.1784 -68.2385 \n",
"\n",
" 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ... 5/16/20 \\\n",
"166 0 0 0 0 0 0 ... 101 \n",
"167 0 0 0 0 0 0 ... 16 \n",
"168 0 0 0 0 0 0 ... 77 \n",
"169 0 0 0 0 0 0 ... 43870 \n",
"255 0 0 0 0 0 0 ... 6 \n",
"\n",
" 5/17/20 5/18/20 5/19/20 5/20/20 5/21/20 5/22/20 5/23/20 5/24/20 \\\n",
"166 101 101 101 101 101 101 101 101 \n",
"167 16 16 16 16 16 16 17 17 \n",
"168 77 77 77 77 77 77 77 77 \n",
"169 43995 44141 44249 44447 44700 44888 45064 45236 \n",
"255 6 6 6 6 6 6 6 6 \n",
"\n",
" 5/25/20 \n",
"166 101 \n",
"167 18 \n",
"168 77 \n",
"169 45445 \n",
"255 6 \n",
"\n",
"[5 rows x 129 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"confirmed[confirmed[\"Country/Region\"] == \"Netherlands\"]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Korea, South\n"
]
}
],
"source": [
"for row in confirmed[\"Country/Region\"]:\n",
" if \"Korea\" in row:\n",
" print(row)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Filtering like this leaves the question unanswered if line 116 contains the cases only for France except Dom/Tom or not.\n",
"As for other countries there is no extra line for the country itself we assume for now The France line is France except Dom/Tom This is the same assumption that is also propsed in the task:\n",
"\"*The data from China are organized by provinces and we have separated Hong-Kong, not in order the take a side in the tensions between the province and the Chinese state, but because this is how the data appear on the SCMP website. Overseas territories and other \"colonial residues\" are excluded from the data from France, the Netherlands, and the United Kingdom.*\""
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:30: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:15: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" from ipykernel import kernelapp as app\n"
]
}
],
"source": [
"regions = ['Belgium', 'China (all provinces except Hong Kong)', 'China', 'Hong-Kong', 'France except Dom/Tom', 'Germany', 'Iran', 'Italy', 'Japan', 'Korea South', 'Netherlands without the colonies', 'Portugal', 'Spain', 'United Kingdom without the colonies', 'US']\n",
"to_plot = {}\n",
"for region in regions:\n",
" region_name = region\n",
" # Special cases:\n",
" if \"France\" in region:\n",
" region_name = \"France\" \n",
" if \"Netherlands\" in region:\n",
" region_name = \"Netherlands\" \n",
" if \"United Kingdom\" in region:\n",
" region_name = \"United Kingdom\" \n",
" if \"Korea South\" in region:\n",
" region_name = \"Korea, South\" \n",
" if region == \"Hong-Kong\":\n",
" d = confirmed[confirmed[\"Country/Region\"] == \"China\"][confirmed['Province/State'] == \"Hong Kong\"]\n",
" assert len(d) == 1\n",
" else:\n",
" d = confirmed[confirmed[\"Country/Region\"] == region_name][confirmed['Province/State'].isnull()]\n",
" \n",
" if len(d) == 1:\n",
" to_plot[region] = d.T[4:]\n",
" else:\n",
" # more special cases: China\n",
" if region == \"China\":\n",
" d = confirmed[confirmed[\"Country/Region\"] == \"China\"]\n",
" agg_dict = {col: 'sum' for col in d.columns[4:]}\n",
" to_plot[region] = d.groupby(['Country/Region'],as_index=False).agg(agg_dict).T[1:]\n",
"\n",
" if region == \"China (all provinces except Hong Kong)\":\n",
" d = confirmed[confirmed[\"Country/Region\"] == \"China\"][confirmed['Province/State'] != \"Hong Kong\"]\n",
" agg_dict = {col: 'sum' for col in d.columns[4:]}\n",
" to_plot[region] = d.groupby(['Country/Region'],as_index=False).agg(agg_dict).T[1:]\n",
" \n",
" to_plot[region].index = pd.to_datetime(to_plot[region].index)\n",
" col_name = to_plot[region].columns[0]\n",
" to_plot[region] = to_plot[region].rename(columns={col_name: \"confirmed cases\"})\n",
" \n",
" \n",
" \n",
"#print(to_plot) \n",
"#print(len(to_plot) , len(regions))\n",
"assert len(to_plot) == len(regions)\n",
"#to_plot"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"tmp = to_plot[\"France except Dom/Tom\"]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
],
"text/plain": [
" Zone Communes_a_envoi_dematerialise_Deces2020 \\\n",
"Date_evenement \n",
"2020-03-01 France 1625.0 \n",
"2020-03-02 France 3263.0 \n",
"2020-03-03 France 4891.0 \n",
"2020-03-04 France 6571.0 \n",
"2020-03-05 France 8197.0 \n",
"2020-03-06 France 9896.0 \n",
"2020-03-07 France 11435.0 \n",
"2020-03-08 France 13005.0 \n",
"2020-03-09 France 14674.0 \n",
"2020-03-10 France 16328.0 \n",
"2020-03-11 France 18079.0 \n",
"2020-03-12 France 19721.0 \n",
"2020-03-13 France 21366.0 \n",
"2020-03-14 France 22998.0 \n",
"2020-03-15 France 24680.0 \n",
"2020-03-16 France 26494.0 \n",
"2020-03-17 France 28380.0 \n",
"2020-03-18 France 30216.0 \n",
"2020-03-19 France 32163.0 \n",
"2020-03-20 France 34051.0 \n",
"2020-03-21 France 35845.0 \n",
"2020-03-22 France 37689.0 \n",
"2020-03-23 France 39673.0 \n",
"2020-03-24 France 41700.0 \n",
"2020-03-25 France 43845.0 \n",
"2020-03-26 France 46063.0 \n",
"2020-03-27 France 48294.0 \n",
"2020-03-28 France 50599.0 \n",
"2020-03-29 France 52790.0 \n",
"2020-03-30 France 55268.0 \n",
"... ... ... \n",
"2020-05-02 France 120794.0 \n",
"2020-05-03 France 122155.0 \n",
"2020-05-04 France 123581.0 \n",
"2020-05-05 France 124956.0 \n",
"2020-05-06 France 126284.0 \n",
"2020-05-07 France 127529.0 \n",
"2020-05-08 France 128694.0 \n",
"2020-05-09 France NaN \n",
"2020-05-10 France NaN \n",
"2020-05-11 France NaN \n",
"2020-05-12 France NaN \n",
"2020-05-13 France NaN \n",
"2020-05-14 France NaN \n",
"2020-05-15 France NaN \n",
"2020-05-16 France NaN \n",
"2020-05-17 France NaN \n",
"2020-05-18 France NaN \n",
"2020-05-19 France NaN \n",
"2020-05-20 France NaN \n",
"2020-05-21 France NaN \n",
"2020-05-22 France NaN \n",
"2020-05-23 France NaN \n",
"2020-05-24 France NaN \n",
"2020-05-25 France NaN \n",
"2020-05-26 France NaN \n",
"2020-05-27 France NaN \n",
"2020-05-28 France NaN \n",
"2020-05-29 France NaN \n",
"2020-05-30 France NaN \n",
"2020-05-31 France NaN \n",
"\n",
" Total_deces_2020 Communes_a_envoi_dematerialise_Deces2019 \\\n",
"Date_evenement \n",
"2020-03-01 1777.0 1708 \n",
"2020-03-02 3555.0 3467 \n",
"2020-03-03 5316.0 5035 \n",
"2020-03-04 7121.0 6747 \n",
"2020-03-05 8891.0 8455 \n",
"2020-03-06 10731.0 10178 \n",
"2020-03-07 12416.0 11857 \n",
"2020-03-08 14122.0 13513 \n",
"2020-03-09 15939.0 15131 \n",
"2020-03-10 17761.0 16653 \n",
"2020-03-11 19655.0 18276 \n",
"2020-03-12 21448.0 19863 \n",
"2020-03-13 23225.0 21392 \n",
"2020-03-14 25001.0 22950 \n",
"2020-03-15 26845.0 24540 \n",
"2020-03-16 28830.0 26100 \n",
"2020-03-17 30870.0 27583 \n",
"2020-03-18 32874.0 29195 \n",
"2020-03-19 34985.0 30727 \n",
"2020-03-20 37019.0 32230 \n",
"2020-03-21 38948.0 33787 \n",
"2020-03-22 40953.0 35336 \n",
"2020-03-23 43110.0 36900 \n",
"2020-03-24 45270.0 38403 \n",
"2020-03-25 47593.0 39927 \n",
"2020-03-26 49967.0 41419 \n",
"2020-03-27 52378.0 42964 \n",
"2020-03-28 54891.0 44512 \n",
"2020-03-29 57263.0 46010 \n",
"2020-03-30 59933.0 47485 \n",
"... ... ... \n",
"2020-05-02 130783.0 96946 \n",
"2020-05-03 132190.0 98387 \n",
"2020-05-04 133678.0 99839 \n",
"2020-05-05 NaN 101228 \n",
"2020-05-06 NaN 102760 \n",
"2020-05-07 NaN 104247 \n",
"2020-05-08 NaN 105725 \n",
"2020-05-09 NaN 107189 \n",
"2020-05-10 NaN 108697 \n",
"2020-05-11 NaN 110081 \n",
"2020-05-12 NaN 111530 \n",
"2020-05-13 NaN 112947 \n",
"2020-05-14 NaN 114413 \n",
"2020-05-15 NaN 115893 \n",
"2020-05-16 NaN 117350 \n",
"2020-05-17 NaN 118840 \n",
"2020-05-18 NaN 120350 \n",
"2020-05-19 NaN 121778 \n",
"2020-05-20 NaN 123275 \n",
"2020-05-21 NaN 124722 \n",
"2020-05-22 NaN 126155 \n",
"2020-05-23 NaN 127666 \n",
"2020-05-24 NaN 129195 \n",
"2020-05-25 NaN 130585 \n",
"2020-05-26 NaN 131921 \n",
"2020-05-27 NaN 133331 \n",
"2020-05-28 NaN 134754 \n",
"2020-05-29 NaN 136128 \n",
"2020-05-30 NaN 137459 \n",
"2020-05-31 NaN 138883 \n",
"\n",
" Total_deces_2019 Communes_a_envoi_dematerialise_Deces2018 \\\n",
"Date_evenement \n",
"2020-03-01 1872 1928 \n",
"2020-03-02 3782 3933 \n",
"2020-03-03 5530 5881 \n",
"2020-03-04 7410 7768 \n",
"2020-03-05 9278 9769 \n",
"2020-03-06 11148 11731 \n",
"2020-03-07 13007 13615 \n",
"2020-03-08 14808 15542 \n",
"2020-03-09 16581 17429 \n",
"2020-03-10 18248 19324 \n",
"2020-03-11 20014 21082 \n",
"2020-03-12 21720 22937 \n",
"2020-03-13 23411 24732 \n",
"2020-03-14 25129 26482 \n",
"2020-03-15 26875 28213 \n",
"2020-03-16 28595 29960 \n",
"2020-03-17 30230 31630 \n",
"2020-03-18 31987 33235 \n",
"2020-03-19 33671 34895 \n",
"2020-03-20 35332 36528 \n",
"2020-03-21 37033 38268 \n",
"2020-03-22 38721 40020 \n",
"2020-03-23 40419 41678 \n",
"2020-03-24 42047 43386 \n",
"2020-03-25 43712 45036 \n",
"2020-03-26 45337 46729 \n",
"2020-03-27 47023 48440 \n",
"2020-03-28 48713 50090 \n",
"2020-03-29 50376 51727 \n",
"2020-03-30 52013 53364 \n",
"... ... ... \n",
"2020-05-02 106086 103680 \n",
"2020-05-03 107678 105018 \n",
"2020-05-04 109265 106529 \n",
"2020-05-05 110774 107994 \n",
"2020-05-06 112457 109425 \n",
"2020-05-07 114095 110894 \n",
"2020-05-08 115692 112306 \n",
"2020-05-09 117285 113723 \n",
"2020-05-10 118953 115044 \n",
"2020-05-11 120476 116489 \n",
"2020-05-12 122044 117858 \n",
"2020-05-13 123581 119141 \n",
"2020-05-14 125187 120483 \n",
"2020-05-15 126805 121839 \n",
"2020-05-16 128418 123248 \n",
"2020-05-17 130046 124681 \n",
"2020-05-18 131677 126118 \n",
"2020-05-19 133247 127492 \n",
"2020-05-20 134892 128880 \n",
"2020-05-21 136475 130294 \n",
"2020-05-22 138031 131689 \n",
"2020-05-23 139689 133175 \n",
"2020-05-24 141337 134646 \n",
"2020-05-25 142844 136063 \n",
"2020-05-26 144307 137515 \n",
"2020-05-27 145851 138955 \n",
"2020-05-28 147385 140414 \n",
"2020-05-29 148877 141859 \n",
"2020-05-30 150329 143276 \n",
"2020-05-31 151885 144638 \n",
"\n",
" Total_deces_2018 \n",
"Date_evenement \n",
"2020-03-01 2136 \n",
"2020-03-02 4327 \n",
"2020-03-03 6455 \n",
"2020-03-04 8545 \n",
"2020-03-05 10746 \n",
"2020-03-06 12904 \n",
"2020-03-07 14959 \n",
"2020-03-08 17066 \n",
"2020-03-09 19115 \n",
"2020-03-10 21201 \n",
"2020-03-11 23143 \n",
"2020-03-12 25190 \n",
"2020-03-13 27170 \n",
"2020-03-14 29097 \n",
"2020-03-15 30995 \n",
"2020-03-16 32902 \n",
"2020-03-17 34742 \n",
"2020-03-18 36533 \n",
"2020-03-19 38356 \n",
"2020-03-20 40147 \n",
"2020-03-21 42049 \n",
"2020-03-22 43941 \n",
"2020-03-23 45767 \n",
"2020-03-24 47652 \n",
"2020-03-25 49469 \n",
"2020-03-26 51322 \n",
"2020-03-27 53182 \n",
"2020-03-28 55009 \n",
"2020-03-29 56836 \n",
"2020-03-30 58641 \n",
"... ... \n",
"2020-05-02 113907 \n",
"2020-05-03 115377 \n",
"2020-05-04 117018 \n",
"2020-05-05 118621 \n",
"2020-05-06 120200 \n",
"2020-05-07 121789 \n",
"2020-05-08 123341 \n",
"2020-05-09 124871 \n",
"2020-05-10 126306 \n",
"2020-05-11 127877 \n",
"2020-05-12 129389 \n",
"2020-05-13 130783 \n",
"2020-05-14 132258 \n",
"2020-05-15 133745 \n",
"2020-05-16 135285 \n",
"2020-05-17 136836 \n",
"2020-05-18 138411 \n",
"2020-05-19 139930 \n",
"2020-05-20 141463 \n",
"2020-05-21 143016 \n",
"2020-05-22 144555 \n",
"2020-05-23 146163 \n",
"2020-05-24 147752 \n",
"2020-05-25 149316 \n",
"2020-05-26 150918 \n",
"2020-05-27 152488 \n",
"2020-05-28 154090 \n",
"2020-05-29 155663 \n",
"2020-05-30 157215 \n",
"2020-05-31 158700 \n",
"\n",
"[92 rows x 7 columns]"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"deaths_france[\"Date_evenement\"] = pd.to_datetime(deaths_france[\"Date_evenement\"], dayfirst=True)\n",
"deaths_france = deaths_france[deaths_france[\"Zone\"] == \"France\"]\n",
"deaths_france = deaths_france.set_index(\"Date_evenement\")\n",
"deaths_france"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (15,7.5))\n",
"plt.plot(deaths_france[\"Total_deces_2020\"], label=\"deaths 2020\")\n",
"plt.plot(deaths_france[\"Total_deces_2019\"], label=\"deaths 2019\")\n",
"plt.plot(deaths_france[\"Total_deces_2018\"], label=\"deaths 2018\")\n",
"\n",
"plt.plot(to_plot_deaths[\"France except Dom/Tom\"][\"deaths cases\"], label=\"corona deaths\")\n",
"plt.legend()\n",
"plt.xlim([datetime.date(2020, 2, 29), datetime.date(2020, 5, 15)])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Those are the cumulative deathnumbers. How does the daily death numbers develop?"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"### for simplicity we put all in one:\n",
"deaths_france[\"corona deaths\"] = to_plot_deaths[\"France except Dom/Tom\"][\"deaths cases\"]\n",
"# plt.figure(figsize = (15,7.5))\n",
"# plt.plot(deaths_france[\"Total_deces_2020\"], label=\"deaths 2020\")\n",
"# plt.plot(deaths_france[\"Total_deces_2019\"], label=\"deaths 2019\")\n",
"# plt.plot(deaths_france[\"Total_deces_2018\"], label=\"deaths 2018\")\n",
"# plt.plot(deaths_france[\"corona deaths\"], label=\"corona deaths\")\n",
"\n",
"\n",
"deaths_france\n",
"for k in [\"Total_deces_2020\", \"Total_deces_2019\", \"Total_deces_2018\", \"corona deaths\"]:\n",
" col = 'daily ' + k\n",
" deaths_france[col] = np.zeros(len(deaths_france))\n",
" i = 0\n",
" for row1, row2 in zip(deaths_france[k].iloc[:-1], deaths_france[k].iloc[1:]):\n",
" #print(row1, row2)\n",
" deaths_france[col].iloc[i] = row2-row1\n",
" i += 1\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (15,7.5))\n",
"plt.plot(deaths_france[\"daily Total_deces_2020\"], label=\"daily deaths 2020\")\n",
"plt.plot(deaths_france[\"daily Total_deces_2019\"], label=\"daily deaths 2019\")\n",
"plt.plot(deaths_france[\"daily Total_deces_2018\"], label=\"daily deaths 2018\")\n",
"plt.plot(deaths_france[\"daily corona deaths\"], label=\"daily corona deaths\")\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We see that there are more deaths but they are not all registered as corona deaths!\n",
"Lets visualize it a bit better fill the shape of daily corona deaths in daily deaths curve..."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (15,7.5))\n",
"\n",
"plt.axvspan(datetime.datetime(2020,3,15), datetime.datetime(2020,5,11), color='grey', alpha=0.5, label='strict lockdown')\n",
"\n",
"deaths_france[\"daily without corona\"] = deaths_france[\"daily Total_deces_2020\"] - deaths_france[\"daily corona deaths\"]\n",
"\n",
"plt.fill_between(deaths_france.index, \n",
" deaths_france[\"daily Total_deces_2020\"], deaths_france[\"daily without corona\"], \n",
" label=\"corona deaths\", color = \"yellow\")\n",
"plt.plot(deaths_france[\"daily Total_deces_2020\"], label=\"daily deaths 2020\")\n",
"plt.plot(deaths_france[\"daily Total_deces_2019\"], label=\"daily deaths 2019\")\n",
"plt.plot(deaths_france[\"daily Total_deces_2018\"], label=\"daily deaths 2018\")\n",
"# plt.plot(deaths_france[\"daily corona deaths\"], label=\"daily corona deaths\")\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"plt.legend()\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we see that probably:\n",
"1. The corona deaths are not counted corrrectly especially at the beginning (or there is another reason for many people dying????)\n",
"2. There seem to be some days where more people died from corona. It seems the measure when exactly corona patients die are not precise.\n",
"\n",
"Further one sees that the lockdowns effect on death numbers is delayed by a bit more than one month\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Now let's see if the amount of deaths per 1000 inhabitants is related to the amount of hospital beds per 1000 inhabitants:\n",
"source : https://data.oecd.org/healtheqt/hospital-beds.htm , OECD (2020), Hospital beds (indicator). doi: 10.1787/0191328e-en (Accessed on 25 May 2020)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" after removing the cwd from sys.path.\n"
]
},
{
"data": {
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"
2017
\n",
"
3.32
\n",
"
P
\n",
"
\n",
"
\n",
"
NZL
\n",
"
NZL
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.71
\n",
"
NaN
\n",
"
\n",
"
\n",
"
NOR
\n",
"
NOR
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
3.60
\n",
"
NaN
\n",
"
\n",
"
\n",
"
POL
\n",
"
POL
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
6.62
\n",
"
NaN
\n",
"
\n",
"
\n",
"
PRT
\n",
"
PRT
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
3.39
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SVK
\n",
"
SVK
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
5.82
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ESP
\n",
"
ESP
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.97
\n",
"
P
\n",
"
\n",
"
\n",
"
SWE
\n",
"
SWE
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.22
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHE
\n",
"
CHE
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
4.53
\n",
"
NaN
\n",
"
\n",
"
\n",
"
TUR
\n",
"
TUR
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.81
\n",
"
NaN
\n",
"
\n",
"
\n",
"
GBR
\n",
"
GBR
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.54
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHL
\n",
"
CHL
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
2.11
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHN
\n",
"
CHN
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
4.34
\n",
"
NaN
\n",
"
\n",
"
\n",
"
EST
\n",
"
EST
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
4.69
\n",
"
NaN
\n",
"
\n",
"
\n",
"
IND
\n",
"
IND
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
0.53
\n",
"
NaN
\n",
"
\n",
"
\n",
"
IDN
\n",
"
IDN
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
1.04
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ISR
\n",
"
ISR
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
3.02
\n",
"
NaN
\n",
"
\n",
"
\n",
"
RUS
\n",
"
RUS
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
8.05
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SVN
\n",
"
SVN
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
4.50
\n",
"
NaN
\n",
"
\n",
"
\n",
"
COL
\n",
"
COL
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
1.70
\n",
"
NaN
\n",
"
\n",
"
\n",
"
LVA
\n",
"
LVA
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
5.57
\n",
"
NaN
\n",
"
\n",
"
\n",
"
LTU
\n",
"
LTU
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
6.56
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CRI
\n",
"
CRI
\n",
"
HOSPITALBED
\n",
"
TOT
\n",
"
1000HAB
\n",
"
A
\n",
"
2017
\n",
"
1.13
\n",
"
NaN
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value \\\n",
"LOCATION \n",
"AUT AUT HOSPITALBED TOT 1000HAB A 2017 7.37 \n",
"BEL BEL HOSPITALBED TOT 1000HAB A 2017 5.66 \n",
"CAN CAN HOSPITALBED TOT 1000HAB A 2017 2.52 \n",
"CZE CZE HOSPITALBED TOT 1000HAB A 2017 6.63 \n",
"DNK DNK HOSPITALBED TOT 1000HAB A 2017 2.61 \n",
"FIN FIN HOSPITALBED TOT 1000HAB A 2017 3.28 \n",
"FRA FRA HOSPITALBED TOT 1000HAB A 2017 5.98 \n",
"DEU DEU HOSPITALBED TOT 1000HAB A 2017 8.00 \n",
"GRC GRC HOSPITALBED TOT 1000HAB A 2017 4.21 \n",
"HUN HUN HOSPITALBED TOT 1000HAB A 2017 7.02 \n",
"ISL ISL HOSPITALBED TOT 1000HAB A 2017 3.06 \n",
"IRL IRL HOSPITALBED TOT 1000HAB A 2017 2.96 \n",
"ITA ITA HOSPITALBED TOT 1000HAB A 2017 3.18 \n",
"JPN JPN HOSPITALBED TOT 1000HAB A 2017 13.05 \n",
"KOR KOR HOSPITALBED TOT 1000HAB A 2017 12.27 \n",
"LUX LUX HOSPITALBED TOT 1000HAB A 2017 4.66 \n",
"MEX MEX HOSPITALBED TOT 1000HAB A 2017 1.38 \n",
"NLD NLD HOSPITALBED TOT 1000HAB A 2017 3.32 \n",
"NZL NZL HOSPITALBED TOT 1000HAB A 2017 2.71 \n",
"NOR NOR HOSPITALBED TOT 1000HAB A 2017 3.60 \n",
"POL POL HOSPITALBED TOT 1000HAB A 2017 6.62 \n",
"PRT PRT HOSPITALBED TOT 1000HAB A 2017 3.39 \n",
"SVK SVK HOSPITALBED TOT 1000HAB A 2017 5.82 \n",
"ESP ESP HOSPITALBED TOT 1000HAB A 2017 2.97 \n",
"SWE SWE HOSPITALBED TOT 1000HAB A 2017 2.22 \n",
"CHE CHE HOSPITALBED TOT 1000HAB A 2017 4.53 \n",
"TUR TUR HOSPITALBED TOT 1000HAB A 2017 2.81 \n",
"GBR GBR HOSPITALBED TOT 1000HAB A 2017 2.54 \n",
"CHL CHL HOSPITALBED TOT 1000HAB A 2017 2.11 \n",
"CHN CHN HOSPITALBED TOT 1000HAB A 2017 4.34 \n",
"EST EST HOSPITALBED TOT 1000HAB A 2017 4.69 \n",
"IND IND HOSPITALBED TOT 1000HAB A 2017 0.53 \n",
"IDN IDN HOSPITALBED TOT 1000HAB A 2017 1.04 \n",
"ISR ISR HOSPITALBED TOT 1000HAB A 2017 3.02 \n",
"RUS RUS HOSPITALBED TOT 1000HAB A 2017 8.05 \n",
"SVN SVN HOSPITALBED TOT 1000HAB A 2017 4.50 \n",
"COL COL HOSPITALBED TOT 1000HAB A 2017 1.70 \n",
"LVA LVA HOSPITALBED TOT 1000HAB A 2017 5.57 \n",
"LTU LTU HOSPITALBED TOT 1000HAB A 2017 6.56 \n",
"CRI CRI HOSPITALBED TOT 1000HAB A 2017 1.13 \n",
"\n",
" Flag Codes \n",
"LOCATION \n",
"AUT NaN \n",
"BEL NaN \n",
"CAN NaN \n",
"CZE NaN \n",
"DNK NaN \n",
"FIN NaN \n",
"FRA NaN \n",
"DEU NaN \n",
"GRC NaN \n",
"HUN NaN \n",
"ISL NaN \n",
"IRL NaN \n",
"ITA NaN \n",
"JPN NaN \n",
"KOR NaN \n",
"LUX NaN \n",
"MEX NaN \n",
"NLD P \n",
"NZL NaN \n",
"NOR NaN \n",
"POL NaN \n",
"PRT NaN \n",
"SVK NaN \n",
"ESP P \n",
"SWE NaN \n",
"CHE NaN \n",
"TUR NaN \n",
"GBR NaN \n",
"CHL NaN \n",
"CHN NaN \n",
"EST NaN \n",
"IND NaN \n",
"IDN NaN \n",
"ISR NaN \n",
"RUS NaN \n",
"SVN NaN \n",
"COL NaN \n",
"LVA NaN \n",
"LTU NaN \n",
"CRI NaN "
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hospital_beds = pd.read_csv('DP_LIVE_25052020160906684.csv')\n",
"hospital_beds\n",
"# lets use quite recent data only:\n",
"hospital_beds = hospital_beds[hospital_beds[\"TIME\"] == 2017][hospital_beds['SUBJECT'] == 'TOT']\n",
"hospital_beds.index = hospital_beds.LOCATION\n",
"hospital_beds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"population sources: OECD (2020), Population (indicator). doi: 10.1787/d434f82b-en (Accessed on 25 May 2020) , https://data.oecd.org/pop/population.htm\n",
"\n",
"entries are millions of inhabitants. so we have to multiply with 1e6"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
" after removing the cwd from sys.path.\n"
]
},
{
"data": {
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LOCATION
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INDICATOR
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SUBJECT
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MEASURE
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FREQUENCY
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TIME
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Value
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Flag Codes
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LOCATION
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AUS
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BEL
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POP
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TOT
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NaN
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CAN
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CAN
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POP
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TOT
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MLN_PER
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A
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36.540268
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NaN
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CZE
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CZE
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POP
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TOT
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NaN
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DNK
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DNK
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POP
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TOT
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MLN_PER
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A
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2017
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5.760694
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NaN
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FIN
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FIN
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POP
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TOT
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MLN_PER
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A
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5.508209
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NaN
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FRA
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FRA
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POP
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TOT
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NaN
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DEU
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DEU
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POP
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TOT
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MLN_PER
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A
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82.656997
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NaN
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GRC
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GRC
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POP
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TOT
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MLN_PER
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A
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2017
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10.754679
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NaN
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"
\n",
"
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HUN
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HUN
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POP
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TOT
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MLN_PER
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A
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2017
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9.787969
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"
NaN
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"
\n",
"
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ISL
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"
ISL
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"
POP
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TOT
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"
MLN_PER
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A
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2017
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0.343399
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NaN
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IRL
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"
IRL
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"
POP
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"
TOT
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"
MLN_PER
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"
A
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"
2017
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"
4.792490
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"
NaN
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"
\n",
"
\n",
"
ITA
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"
ITA
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"
POP
\n",
"
TOT
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"
MLN_PER
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A
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2017
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"
60.536713
\n",
"
NaN
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"
\n",
"
\n",
"
JPN
\n",
"
JPN
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
126.706210
\n",
"
NaN
\n",
"
\n",
"
\n",
"
KOR
\n",
"
KOR
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
51.446201
\n",
"
NaN
\n",
"
\n",
"
\n",
"
LUX
\n",
"
LUX
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
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"
A
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"
2017
\n",
"
0.596337
\n",
"
NaN
\n",
"
\n",
"
\n",
"
MEX
\n",
"
MEX
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"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
124.041731
\n",
"
NaN
\n",
"
\n",
"
\n",
"
NLD
\n",
"
NLD
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
17.131295
\n",
"
NaN
\n",
"
\n",
"
\n",
"
NZL
\n",
"
NZL
\n",
"
POP
\n",
"
TOT
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MLN_PER
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A
\n",
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2017
\n",
"
4.793900
\n",
"
NaN
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"
\n",
"
\n",
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NOR
\n",
"
NOR
\n",
"
POP
\n",
"
TOT
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"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
5.276965
\n",
"
NaN
\n",
"
\n",
"
\n",
"
POL
\n",
"
POL
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
38.422346
\n",
"
NaN
\n",
"
\n",
"
\n",
"
PRT
\n",
"
PRT
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
10.300300
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SVK
\n",
"
SVK
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
5.439232
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ESP
\n",
"
ESP
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
46.532869
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SWE
\n",
"
SWE
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
10.057695
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHE
\n",
"
CHE
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
8.451834
\n",
"
NaN
\n",
"
\n",
"
\n",
"
TUR
\n",
"
TUR
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
80.312708
\n",
"
NaN
\n",
"
\n",
"
\n",
"
GBR
\n",
"
GBR
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
66.040229
\n",
"
NaN
\n",
"
\n",
"
\n",
"
USA
\n",
"
USA
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
325.147121
\n",
"
NaN
\n",
"
\n",
"
\n",
"
BRA
\n",
"
BRA
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
206.804741
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHL
\n",
"
CHL
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
18.419192
\n",
"
NaN
\n",
"
\n",
"
\n",
"
COL
\n",
"
COL
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
49.291609
\n",
"
NaN
\n",
"
\n",
"
\n",
"
EST
\n",
"
EST
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
1.317384
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ISR
\n",
"
ISR
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
8.713300
\n",
"
NaN
\n",
"
\n",
"
\n",
"
RUS
\n",
"
RUS
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
144.496738
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SVN
\n",
"
SVN
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
2.066161
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CHN
\n",
"
CHN
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
1409.517397
\n",
"
NaN
\n",
"
\n",
"
\n",
"
IND
\n",
"
IND
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
1339.180127
\n",
"
NaN
\n",
"
\n",
"
\n",
"
IDN
\n",
"
IDN
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
261.890900
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ZAF
\n",
"
ZAF
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
56.837474
\n",
"
NaN
\n",
"
\n",
"
\n",
"
EU28
\n",
"
EU28
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
512.151635
\n",
"
NaN
\n",
"
\n",
"
\n",
"
OECD
\n",
"
OECD
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
1294.830176
\n",
"
NaN
\n",
"
\n",
"
\n",
"
LVA
\n",
"
LVA
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
1.942247
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ARG
\n",
"
ARG
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
44.044811
\n",
"
NaN
\n",
"
\n",
"
\n",
"
BGR
\n",
"
BGR
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
7.075947
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CRI
\n",
"
CRI
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
4.947490
\n",
"
NaN
\n",
"
\n",
"
\n",
"
HRV
\n",
"
HRV
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
4.124531
\n",
"
NaN
\n",
"
\n",
"
\n",
"
CYP
\n",
"
CYP
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
0.859520
\n",
"
NaN
\n",
"
\n",
"
\n",
"
LTU
\n",
"
LTU
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
2.828398
\n",
"
NaN
\n",
"
\n",
"
\n",
"
MLT
\n",
"
MLT
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
0.468005
\n",
"
NaN
\n",
"
\n",
"
\n",
"
ROU
\n",
"
ROU
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
19.588146
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SAU
\n",
"
SAU
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
32.612641
\n",
"
NaN
\n",
"
\n",
"
\n",
"
SGP
\n",
"
SGP
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
3.965796
\n",
"
NaN
\n",
"
\n",
"
\n",
"
WLD
\n",
"
WLD
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
7550.262101
\n",
"
NaN
\n",
"
\n",
"
\n",
"
G20
\n",
"
G20
\n",
"
POP
\n",
"
TOT
\n",
"
MLN_PER
\n",
"
A
\n",
"
2017
\n",
"
4776.332563
\n",
"
NaN
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value \\\n",
"LOCATION \n",
"AUS AUS POP TOT MLN_PER A 2017 24.601860 \n",
"AUT AUT POP TOT MLN_PER A 2017 8.795073 \n",
"BEL BEL POP TOT MLN_PER A 2017 11.349081 \n",
"CAN CAN POP TOT MLN_PER A 2017 36.540268 \n",
"CZE CZE POP TOT MLN_PER A 2017 10.589526 \n",
"DNK DNK POP TOT MLN_PER A 2017 5.760694 \n",
"FIN FIN POP TOT MLN_PER A 2017 5.508209 \n",
"FRA FRA POP TOT MLN_PER A 2017 66.829563 \n",
"DEU DEU POP TOT MLN_PER A 2017 82.656997 \n",
"GRC GRC POP TOT MLN_PER A 2017 10.754679 \n",
"HUN HUN POP TOT MLN_PER A 2017 9.787969 \n",
"ISL ISL POP TOT MLN_PER A 2017 0.343399 \n",
"IRL IRL POP TOT MLN_PER A 2017 4.792490 \n",
"ITA ITA POP TOT MLN_PER A 2017 60.536713 \n",
"JPN JPN POP TOT MLN_PER A 2017 126.706210 \n",
"KOR KOR POP TOT MLN_PER A 2017 51.446201 \n",
"LUX LUX POP TOT MLN_PER A 2017 0.596337 \n",
"MEX MEX POP TOT MLN_PER A 2017 124.041731 \n",
"NLD NLD POP TOT MLN_PER A 2017 17.131295 \n",
"NZL NZL POP TOT MLN_PER A 2017 4.793900 \n",
"NOR NOR POP TOT MLN_PER A 2017 5.276965 \n",
"POL POL POP TOT MLN_PER A 2017 38.422346 \n",
"PRT PRT POP TOT MLN_PER A 2017 10.300300 \n",
"SVK SVK POP TOT MLN_PER A 2017 5.439232 \n",
"ESP ESP POP TOT MLN_PER A 2017 46.532869 \n",
"SWE SWE POP TOT MLN_PER A 2017 10.057695 \n",
"CHE CHE POP TOT MLN_PER A 2017 8.451834 \n",
"TUR TUR POP TOT MLN_PER A 2017 80.312708 \n",
"GBR GBR POP TOT MLN_PER A 2017 66.040229 \n",
"USA USA POP TOT MLN_PER A 2017 325.147121 \n",
"BRA BRA POP TOT MLN_PER A 2017 206.804741 \n",
"CHL CHL POP TOT MLN_PER A 2017 18.419192 \n",
"COL COL POP TOT MLN_PER A 2017 49.291609 \n",
"EST EST POP TOT MLN_PER A 2017 1.317384 \n",
"ISR ISR POP TOT MLN_PER A 2017 8.713300 \n",
"RUS RUS POP TOT MLN_PER A 2017 144.496738 \n",
"SVN SVN POP TOT MLN_PER A 2017 2.066161 \n",
"CHN CHN POP TOT MLN_PER A 2017 1409.517397 \n",
"IND IND POP TOT MLN_PER A 2017 1339.180127 \n",
"IDN IDN POP TOT MLN_PER A 2017 261.890900 \n",
"ZAF ZAF POP TOT MLN_PER A 2017 56.837474 \n",
"EU28 EU28 POP TOT MLN_PER A 2017 512.151635 \n",
"OECD OECD POP TOT MLN_PER A 2017 1294.830176 \n",
"LVA LVA POP TOT MLN_PER A 2017 1.942247 \n",
"ARG ARG POP TOT MLN_PER A 2017 44.044811 \n",
"BGR BGR POP TOT MLN_PER A 2017 7.075947 \n",
"CRI CRI POP TOT MLN_PER A 2017 4.947490 \n",
"HRV HRV POP TOT MLN_PER A 2017 4.124531 \n",
"CYP CYP POP TOT MLN_PER A 2017 0.859520 \n",
"LTU LTU POP TOT MLN_PER A 2017 2.828398 \n",
"MLT MLT POP TOT MLN_PER A 2017 0.468005 \n",
"ROU ROU POP TOT MLN_PER A 2017 19.588146 \n",
"SAU SAU POP TOT MLN_PER A 2017 32.612641 \n",
"SGP SGP POP TOT MLN_PER A 2017 3.965796 \n",
"WLD WLD POP TOT MLN_PER A 2017 7550.262101 \n",
"G20 G20 POP TOT MLN_PER A 2017 4776.332563 \n",
"\n",
" Flag Codes \n",
"LOCATION \n",
"AUS NaN \n",
"AUT NaN \n",
"BEL NaN \n",
"CAN NaN \n",
"CZE NaN \n",
"DNK NaN \n",
"FIN NaN \n",
"FRA NaN \n",
"DEU NaN \n",
"GRC NaN \n",
"HUN NaN \n",
"ISL NaN \n",
"IRL NaN \n",
"ITA NaN \n",
"JPN NaN \n",
"KOR NaN \n",
"LUX NaN \n",
"MEX NaN \n",
"NLD NaN \n",
"NZL NaN \n",
"NOR NaN \n",
"POL NaN \n",
"PRT NaN \n",
"SVK NaN \n",
"ESP NaN \n",
"SWE NaN \n",
"CHE NaN \n",
"TUR NaN \n",
"GBR NaN \n",
"USA NaN \n",
"BRA NaN \n",
"CHL NaN \n",
"COL NaN \n",
"EST NaN \n",
"ISR NaN \n",
"RUS NaN \n",
"SVN NaN \n",
"CHN NaN \n",
"IND NaN \n",
"IDN NaN \n",
"ZAF NaN \n",
"EU28 NaN \n",
"OECD NaN \n",
"LVA NaN \n",
"ARG NaN \n",
"BGR NaN \n",
"CRI NaN \n",
"HRV NaN \n",
"CYP NaN \n",
"LTU NaN \n",
"MLT NaN \n",
"ROU NaN \n",
"SAU NaN \n",
"SGP NaN \n",
"WLD NaN \n",
"G20 NaN "
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# same for population:\n",
"population = pd.read_csv('DP_LIVE_25052020163108372.csv')\n",
"# lets use quite recent data only:\n",
"population = population[population[\"TIME\"] == 2017][population['SUBJECT'] == 'TOT'][population['MEASURE'] == 'MLN_PER']\n",
"population.index = population.LOCATION\n",
"population"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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deaths per 1000
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beds per 1000
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LOCATION
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AUT
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7.37
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5.66
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CAN
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2.52
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CZE
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6.63
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DNK
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2.61
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FIN
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3.28
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5.98
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8.00
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4.21
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7.02
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ISL
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3.06
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IRL
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2.96
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ITA
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NaN
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3.18
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JPN
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NaN
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13.05
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KOR
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NaN
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12.27
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LUX
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NaN
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4.66
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MEX
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NaN
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1.38
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NLD
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NaN
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3.32
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NZL
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2.71
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NOR
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3.60
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POL
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NaN
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6.62
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PRT
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NaN
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3.39
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SVK
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NaN
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5.82
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ESP
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2.97
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SWE
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2.22
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CHE
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NaN
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4.53
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TUR
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NaN
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2.81
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GBR
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NaN
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2.54
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CHL
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NaN
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2.11
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CHN
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NaN
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4.34
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EST
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4.69
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IND
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0.53
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IDN
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NaN
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1.04
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ISR
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NaN
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3.02
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RUS
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NaN
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8.05
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SVN
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NaN
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4.50
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COL
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NaN
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1.70
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LVA
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"
NaN
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5.57
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LTU
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"
NaN
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6.56
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CRI
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NaN
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1.13
\n",
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" \n",
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"
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],
"text/plain": [
" deaths per 1000 beds per 1000\n",
"LOCATION \n",
"AUT NaN 7.37\n",
"BEL NaN 5.66\n",
"CAN NaN 2.52\n",
"CZE NaN 6.63\n",
"DNK NaN 2.61\n",
"FIN NaN 3.28\n",
"FRA NaN 5.98\n",
"DEU NaN 8.00\n",
"GRC NaN 4.21\n",
"HUN NaN 7.02\n",
"ISL NaN 3.06\n",
"IRL NaN 2.96\n",
"ITA NaN 3.18\n",
"JPN NaN 13.05\n",
"KOR NaN 12.27\n",
"LUX NaN 4.66\n",
"MEX NaN 1.38\n",
"NLD NaN 3.32\n",
"NZL NaN 2.71\n",
"NOR NaN 3.60\n",
"POL NaN 6.62\n",
"PRT NaN 3.39\n",
"SVK NaN 5.82\n",
"ESP NaN 2.97\n",
"SWE NaN 2.22\n",
"CHE NaN 4.53\n",
"TUR NaN 2.81\n",
"GBR NaN 2.54\n",
"CHL NaN 2.11\n",
"CHN NaN 4.34\n",
"EST NaN 4.69\n",
"IND NaN 0.53\n",
"IDN NaN 1.04\n",
"ISR NaN 3.02\n",
"RUS NaN 8.05\n",
"SVN NaN 4.50\n",
"COL NaN 1.70\n",
"LVA NaN 5.57\n",
"LTU NaN 6.56\n",
"CRI NaN 1.13"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"beds_vs_deaths = pd.DataFrame(index=hospital_beds['LOCATION'], columns=(\"deaths per 1000\",))\n",
"beds_vs_deaths['beds per 1000'] = hospital_beds['Value']\n",
"beds_vs_deaths"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets take the deaths 30 days after the first day with 150 confirmed cases in a country: (As the epedimic is not over yet)"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [],
"source": [
"country_names = list(to_plot.keys())\n",
"country_names\n",
"country_codes = ['BEL',\n",
" '', # china no hong kong\n",
" 'CHN',\n",
" '', # hong kong\n",
" 'FRA',\n",
" 'DEU',\n",
" '', # iran\n",
" 'ITA',\n",
" 'JPN',\n",
" 'KOR',\n",
" 'NLD',\n",
" 'PRT',\n",
" 'ESP',\n",
" 'GBR',\n",
" 'USA']\n",
"country_name_to_code = {na: co for na, co in zip(country_names, country_codes)}\n",
"#country_name_to_code"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for region, data in to_plot.items(): # something is wrong here!\n",
"# print(region)\n",
" row = data[data[\"confirmed cases\"] >= 150].iloc[0]\n",
"# print(row.name)\n",
" date_to_look_at = row.name + datetime.timedelta(days=30)\n",
"# print(date_to_look_at)\n",
" good_row = to_plot_deaths[region][to_plot_deaths[region].index == date_to_look_at]\n",
"# print(good_row)\n",
" dc = good_row[\"deaths cases\"][0]\n",
"# print(dc)\n",
" co = country_name_to_code[region]\n",
" if co == '':\n",
" continue\n",
" pop = 1.e6 / 1000 * population[population.index == co]['Value'][0]\n",
"# print(pop)\n",
" beds_vs_deaths.loc[co, 'deaths per 1000'] = dc / pop\n",
"# xs = beds_vs_deaths[\"deaths per 1000\"]\n",
"# ys = beds_vs_deaths[\"beds per 1000\"]\n",
"# plt.scatter(xs, ys)\n",
"# plt.show()\n",
"beds_vs_deaths.plot(\"beds per 1000\", \"deaths per 1000\", style='.')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For the selected countries we see that after having at least 8 beds per 1000 inhabitants the death rate per 100 inhabitants 30 days after the first day with at least 150 confirmed cases in the country is very close to 0. One could now verify if this holds true for all the other countries too."
]
},
{
"cell_type": "code",
"execution_count": null,
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