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module3/exo3/exercice.ipynb
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...@@ -6370,6 +6370,560 @@ ...@@ -6370,6 +6370,560 @@
"Further one sees that the lockdowns effect on death numbers is delayed by a bit more than one month\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": 40,
"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": {
"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>LOCATION</th>\n",
" <th>INDICATOR</th>\n",
" <th>SUBJECT</th>\n",
" <th>MEASURE</th>\n",
" <th>FREQUENCY</th>\n",
" <th>TIME</th>\n",
" <th>Value</th>\n",
" <th>Flag Codes</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>AUT</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>7.37</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>228</th>\n",
" <td>BEL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.66</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>334</th>\n",
" <td>CAN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.52</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>427</th>\n",
" <td>CZE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>6.63</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <td>DNK</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.61</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>590</th>\n",
" <td>FIN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.28</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>663</th>\n",
" <td>FRA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.98</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>732</th>\n",
" <td>DEU</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>8.00</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>844</th>\n",
" <td>GRC</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.21</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>912</th>\n",
" <td>HUN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>7.02</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>959</th>\n",
" <td>ISL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.06</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1022</th>\n",
" <td>IRL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.96</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1158</th>\n",
" <td>ITA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.18</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1269</th>\n",
" <td>JPN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>13.05</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1347</th>\n",
" <td>KOR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>12.27</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1417</th>\n",
" <td>LUX</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.66</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1476</th>\n",
" <td>MEX</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.38</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1552</th>\n",
" <td>NLD</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.32</td>\n",
" <td>P</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1613</th>\n",
" <td>NZL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.71</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1668</th>\n",
" <td>NOR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.60</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1751</th>\n",
" <td>POL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>6.62</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1844</th>\n",
" <td>PRT</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.39</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1918</th>\n",
" <td>SVK</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.82</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1997</th>\n",
" <td>ESP</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.97</td>\n",
" <td>P</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2121</th>\n",
" <td>SWE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.22</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2231</th>\n",
" <td>CHE</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.53</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2287</th>\n",
" <td>TUR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.81</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2337</th>\n",
" <td>GBR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.54</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2526</th>\n",
" <td>CHL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>2.11</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2577</th>\n",
" <td>CHN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.34</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2630</th>\n",
" <td>EST</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.69</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2722</th>\n",
" <td>IND</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>0.53</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2731</th>\n",
" <td>IDN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.04</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2761</th>\n",
" <td>ISR</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>3.02</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2857</th>\n",
" <td>RUS</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>8.05</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2891</th>\n",
" <td>SVN</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>4.50</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2974</th>\n",
" <td>COL</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.70</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3010</th>\n",
" <td>LVA</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>5.57</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3136</th>\n",
" <td>LTU</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>6.56</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3238</th>\n",
" <td>CRI</td>\n",
" <td>HOSPITALBED</td>\n",
" <td>TOT</td>\n",
" <td>1000HAB</td>\n",
" <td>A</td>\n",
" <td>2017</td>\n",
" <td>1.13</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" LOCATION INDICATOR SUBJECT MEASURE FREQUENCY TIME Value Flag Codes\n",
"138 AUT HOSPITALBED TOT 1000HAB A 2017 7.37 NaN\n",
"228 BEL HOSPITALBED TOT 1000HAB A 2017 5.66 NaN\n",
"334 CAN HOSPITALBED TOT 1000HAB A 2017 2.52 NaN\n",
"427 CZE HOSPITALBED TOT 1000HAB A 2017 6.63 NaN\n",
"499 DNK HOSPITALBED TOT 1000HAB A 2017 2.61 NaN\n",
"590 FIN HOSPITALBED TOT 1000HAB A 2017 3.28 NaN\n",
"663 FRA HOSPITALBED TOT 1000HAB A 2017 5.98 NaN\n",
"732 DEU HOSPITALBED TOT 1000HAB A 2017 8.00 NaN\n",
"844 GRC HOSPITALBED TOT 1000HAB A 2017 4.21 NaN\n",
"912 HUN HOSPITALBED TOT 1000HAB A 2017 7.02 NaN\n",
"959 ISL HOSPITALBED TOT 1000HAB A 2017 3.06 NaN\n",
"1022 IRL HOSPITALBED TOT 1000HAB A 2017 2.96 NaN\n",
"1158 ITA HOSPITALBED TOT 1000HAB A 2017 3.18 NaN\n",
"1269 JPN HOSPITALBED TOT 1000HAB A 2017 13.05 NaN\n",
"1347 KOR HOSPITALBED TOT 1000HAB A 2017 12.27 NaN\n",
"1417 LUX HOSPITALBED TOT 1000HAB A 2017 4.66 NaN\n",
"1476 MEX HOSPITALBED TOT 1000HAB A 2017 1.38 NaN\n",
"1552 NLD HOSPITALBED TOT 1000HAB A 2017 3.32 P\n",
"1613 NZL HOSPITALBED TOT 1000HAB A 2017 2.71 NaN\n",
"1668 NOR HOSPITALBED TOT 1000HAB A 2017 3.60 NaN\n",
"1751 POL HOSPITALBED TOT 1000HAB A 2017 6.62 NaN\n",
"1844 PRT HOSPITALBED TOT 1000HAB A 2017 3.39 NaN\n",
"1918 SVK HOSPITALBED TOT 1000HAB A 2017 5.82 NaN\n",
"1997 ESP HOSPITALBED TOT 1000HAB A 2017 2.97 P\n",
"2121 SWE HOSPITALBED TOT 1000HAB A 2017 2.22 NaN\n",
"2231 CHE HOSPITALBED TOT 1000HAB A 2017 4.53 NaN\n",
"2287 TUR HOSPITALBED TOT 1000HAB A 2017 2.81 NaN\n",
"2337 GBR HOSPITALBED TOT 1000HAB A 2017 2.54 NaN\n",
"2526 CHL HOSPITALBED TOT 1000HAB A 2017 2.11 NaN\n",
"2577 CHN HOSPITALBED TOT 1000HAB A 2017 4.34 NaN\n",
"2630 EST HOSPITALBED TOT 1000HAB A 2017 4.69 NaN\n",
"2722 IND HOSPITALBED TOT 1000HAB A 2017 0.53 NaN\n",
"2731 IDN HOSPITALBED TOT 1000HAB A 2017 1.04 NaN\n",
"2761 ISR HOSPITALBED TOT 1000HAB A 2017 3.02 NaN\n",
"2857 RUS HOSPITALBED TOT 1000HAB A 2017 8.05 NaN\n",
"2891 SVN HOSPITALBED TOT 1000HAB A 2017 4.50 NaN\n",
"2974 COL HOSPITALBED TOT 1000HAB A 2017 1.70 NaN\n",
"3010 LVA HOSPITALBED TOT 1000HAB A 2017 5.57 NaN\n",
"3136 LTU HOSPITALBED TOT 1000HAB A 2017 6.56 NaN\n",
"3238 CRI HOSPITALBED TOT 1000HAB A 2017 1.13 NaN"
]
},
"execution_count": 40,
"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"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
......
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