Germany: SK Dessau-Roßlau (Sachsen-Anhalt)¶

  • Homepage of project: https://oscovida.github.io
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In [1]:
import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")
Notebook executed on: 07/03/2023 15:46:12 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Dessau-Roßlau", weeks=5);
2023-03-07T15:46:26.744153 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 40 40 60 60 80 80 100 100 7-day incidence rate (per 100K people) 48.3 SK Dessau-Roßlau, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 10 20 30 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.5 1.0 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Germany-SK Dessau-Roßlau cases daily growth factor Germany-SK Dessau-Roßlau cases daily growth factor (rolling mean) Germany-SK Dessau-Roßlau estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-SK Dessau-Roßlau deaths daily growth factor Germany-SK Dessau-Roßlau deaths daily growth factor (rolling mean) Germany-SK Dessau-Roßlau estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 2000 4000 6000 cases doubling time [days] Germany-SK Dessau-Roßlau doubling time cases (rolling mean) 0.00 7.87 15.75 23.62 daily change Germany-SK Dessau-Roßlau new cases (rolling 7d mean) Germany-SK Dessau-Roßlau new cases 0.000 0.394 0.787 daily change Germany-SK Dessau-Roßlau new deaths (rolling 7d mean) Germany-SK Dessau-Roßlau new deaths 0.000 0.274 0.549 0.823
In [4]:
overview(country="Germany", subregion="SK Dessau-Roßlau");
2023-03-07T15:46:42.923963 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 500 500 1000 1000 1500 1500 7-day incidence rate (per 100K people) 48.3 SK Dessau-Roßlau, Germany, last data point from 2023-03-06 May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 100 200 300 400 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2 4 6 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 R & growth factor (based on cases) Germany-SK Dessau-Roßlau cases daily growth factor Germany-SK Dessau-Roßlau cases daily growth factor (rolling mean) Germany-SK Dessau-Roßlau estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 1 1 2 2 3 3 4 4 R & growth factor (based on deaths) Germany-SK Dessau-Roßlau deaths daily growth factor Germany-SK Dessau-Roßlau deaths daily growth factor (rolling mean) Germany-SK Dessau-Roßlau estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 2000 4000 6000 cases doubling time [days] Germany-SK Dessau-Roßlau doubling time cases (rolling mean) Germany-SK Dessau-Roßlau doubling time deaths (rolling mean) 0.0 78.7 157.5 236.2 314.9 daily change Germany-SK Dessau-Roßlau new cases (rolling 7d mean) Germany-SK Dessau-Roßlau new cases 0.000 1.575 3.149 4.724 daily change Germany-SK Dessau-Roßlau new deaths (rolling 7d mean) Germany-SK Dessau-Roßlau new deaths 0.0 57.9 115.9 173.8 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="SK Dessau-Roßlau", dates="2020-03-15:");
2023-03-07T15:49:21.423212 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.1 0.1 1 1 10 10 100 100 daily new cases (rolling 7-day mean) normalised by 100K people Daily cases (top) and deaths (below) for Germany: SK Dessau-Roßlau SK Dessau-Roßlau Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt 2020-05 2020-09 2021-01 2021-05 2021-09 2022-01 2022-05 2022-09 2023-01 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people SK Dessau-Roßlau Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="SK Dessau-Roßlau")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Dessau-Roßlau")
print(f'Population of country="Germany", subregion="SK Dessau-Roßlau": {inhabitants} people')

# compose into one table
table = compose_dataframe_summary(cases, deaths)

# show tables with up to 1000 rows
pd.set_option("display.max_rows", 1000)

# display the table
table
Population of country="Germany", subregion="SK Dessau-Roßlau": 78731 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-03 34351 3 234 0
2023-03-02 34348 3 234 0
2023-03-01 34345 15 234 0
2023-02-28 34330 17 234 0
2023-02-27 34313 15 234 0
2023-02-24 34298 10 234 0
2023-02-23 34288 15 234 0
2023-02-22 34273 9 234 0
2023-02-21 34264 22 234 0
2023-02-20 34242 27 234 1
2023-02-17 34215 9 233 0
2023-02-16 34206 12 233 0
2023-02-15 34194 16 233 0
2023-02-14 34178 20 233 0
2023-02-13 34158 2 233 0
2023-02-10 34156 2 233 0
2023-02-09 34154 10 233 0
2023-02-08 34144 8 233 0
2023-02-07 34136 9 233 0
2023-02-06 34127 13 233 0
2023-02-03 34114 10 233 0
2023-02-02 34104 6 233 0
2023-02-01 34098 7 233 0
2023-01-31 34091 14 233 0
2023-01-30 34077 11 233 0
2023-01-27 34066 3 233 0
2023-01-26 34063 3 233 0
2023-01-25 34060 9 233 0
2023-01-24 34051 25 233 0
2023-01-23 34026 9 233 0
2023-01-20 34017 5 233 0
2023-01-19 34012 10 233 0
2023-01-18 34002 2 233 0
2023-01-17 34000 8 233 0
2023-01-16 33992 11 233 0
2023-01-13 33981 5 233 0
2023-01-12 33976 7 233 0
2023-01-11 33969 19 233 0
2023-01-10 33950 23 233 0
2023-01-09 33927 33 233 0
2023-01-05 33894 13 233 0
2023-01-04 33881 26 233 0
2023-01-03 33855 42 233 1
2023-01-02 33813 34 232 0
2022-12-30 33779 27 232 0
2022-12-29 33752 64 232 0
2022-12-28 33688 37 232 1
2022-12-27 33651 67 231 1
2022-12-23 33584 40 230 0
2022-12-22 33544 46 230 0
2022-12-21 33498 58 230 2
2022-12-20 33440 101 228 3
2022-12-19 33339 66 225 1
2022-12-16 33273 43 224 0
2022-12-15 33230 52 224 0
2022-12-14 33178 55 224 0
2022-12-13 33123 74 224 0
2022-12-12 33049 71 224 0
2022-12-09 32978 37 224 1
2022-12-08 32941 44 223 2
2022-12-07 32897 55 221 0
2022-12-06 32842 71 221 0
2022-12-05 32771 59 221 0
2022-12-02 32712 51 221 1
2022-12-01 32661 56 220 1
2022-11-30 32605 49 219 0
2022-11-29 32556 84 219 0
2022-11-28 32472 47 219 1
2022-11-25 32425 49 218 0
2022-11-24 32376 35 218 0
2022-11-23 32341 26 218 0
2022-11-22 32315 84 218 1
2022-11-21 32231 32 217 1
2022-11-18 32199 37 216 0
2022-11-17 32162 25 216 0
2022-11-16 32137 36 216 0
2022-11-15 32101 58 216 0
2022-11-14 32043 44 216 0
2022-11-11 31999 24 216 0
2022-11-10 31975 25 216 0
2022-11-09 31950 30 216 1
2022-11-08 31920 92 215 0
2022-11-07 31828 38 215 0
2022-11-04 31790 49 215 0
2022-11-03 31741 55 215 0
2022-11-02 31686 109 215 0
2022-11-01 31577 51 215 0
2022-10-28 31526 65 215 0
2022-10-27 31461 42 215 0
2022-10-26 31419 71 215 1
2022-10-25 31348 143 214 0
2022-10-24 31205 89 214 1
2022-10-21 31116 105 213 0
2022-10-20 31011 97 213 1
2022-10-19 30914 130 212 1
2022-10-18 30784 225 211 0
2022-10-17 30559 144 211 0
2022-10-14 30415 53 211 1
2022-10-13 30362 72 210 0
2022-10-12 30290 138 210 1
2022-10-11 30152 180 209 1
2022-10-10 29972 151 208 2
2022-10-07 29821 52 206 1
2022-10-06 29769 136 205 0
2022-10-05 29633 179 205 1
2022-10-04 29454 111 204 3
2022-09-30 29343 74 201 0
2022-09-29 29269 44 201 0
2022-09-28 29225 71 201 0
2022-09-27 29154 120 201 0
2022-09-26 29034 76 201 1
2022-09-23 28958 48 200 0
2022-09-22 28910 36 200 0
2022-09-21 28874 43 200 0
2022-09-20 28831 86 200 1
2022-09-19 28745 38 199 1
2022-09-16 28707 35 198 0
2022-09-15 28672 26 198 0
2022-09-14 28646 32 198 0
2022-09-13 28614 56 198 0
2022-09-12 28558 27 198 1
2022-09-09 28531 18 197 0
2022-09-08 28513 18 197 0
2022-09-07 28495 25 197 0
2022-09-06 28470 62 197 0
2022-09-05 28408 23 197 0
2022-09-02 28385 22 197 0
2022-09-01 28363 27 197 1
2022-08-31 28336 25 196 1
2022-08-30 28311 70 195 0
2022-08-29 28241 35 195 0
2022-08-26 28206 43 195 0
2022-08-25 28163 33 195 0
2022-08-24 28130 28 195 0
2022-08-23 28102 71 195 0
2022-08-22 28031 37 195 0
2022-08-19 27994 49 195 0
2022-08-18 27945 23 195 0
2022-08-17 27922 26 195 0
2022-08-16 27896 83 195 0
2022-08-15 27813 40 195 0
2022-08-12 27773 56 195 0
2022-08-11 27717 27 195 0
2022-08-10 27690 34 195 1
2022-08-09 27656 117 194 0
2022-08-08 27539 53 194 0
2022-08-05 27486 41 194 0
2022-08-04 27445 56 194 1
2022-08-03 27389 43 193 1
2022-08-02 27346 128 192 0
2022-08-01 27218 70 192 2
2022-07-29 27148 59 190 0
2022-07-28 27089 28 190 0
2022-07-27 27061 49 190 1
2022-07-26 27012 150 189 0
2022-07-25 26862 122 189 1
2022-07-22 26740 86 188 0
2022-07-21 26654 56 188 0
2022-07-20 26598 85 188 0
2022-07-19 26513 157 188 1
2022-07-18 26356 179 187 0
2022-07-15 26177 1 187 0
2022-07-14 26176 58 187 0
2022-07-13 26118 66 187 0
2022-07-12 26052 188 187 0
2022-07-11 25864 65 187 1
2022-07-08 25799 86 186 0
2022-07-07 25713 50 186 1
2022-07-06 25663 91 185 0
2022-07-05 25572 141 185 1
2022-07-04 25431 95 184 1
2022-07-01 25336 69 183 0
2022-06-30 25267 63 183 0
2022-06-29 25204 66 183 0
2022-06-28 25138 128 183 0
2022-06-27 25010 65 183 0
2022-06-24 24945 41 183 0
2022-06-23 24904 62 183 0
2022-06-22 24842 35 183 0
2022-06-21 24807 97 183 0
2022-06-20 24710 40 183 0
2022-06-17 24670 36 183 0
2022-06-16 24634 37 183 0
2022-06-15 24597 57 183 0
2022-06-14 24540 45 183 0
2022-06-13 24495 27 183 1
2022-06-10 24468 42 182 0
2022-06-09 24426 49 182 0
2022-06-08 24377 37 182 0
2022-06-07 24340 18 182 0
2022-06-03 24322 17 182 0
2022-06-02 24305 11 182 0
2022-06-01 24294 14 182 0
2022-05-31 24280 43 182 0
2022-05-30 24237 42 182 0
2022-05-26 24195 1 182 0
2022-05-25 24194 17 182 0
2022-05-24 24177 28 182 0
2022-05-23 24149 41 182 0
2022-05-20 24108 17 182 0
2022-05-19 24091 21 182 0
2022-05-18 24070 30 182 0
2022-05-17 24040 50 182 0
2022-05-16 23990 28 182 0
2022-05-13 23962 33 182 1
2022-05-12 23929 26 181 0
2022-05-11 23903 24 181 0
2022-05-10 23879 85 181 0
2022-05-09 23794 50 181 1
2022-05-06 23744 34 180 0
2022-05-05 23710 43 180 0
2022-05-04 23667 68 180 0
2022-05-03 23599 109 180 0
2022-05-02 23490 74 180 1
2022-04-29 23416 55 179 0
2022-04-28 23361 82 179 1
2022-04-27 23279 139 178 1
2022-04-26 23140 167 177 2
2022-04-25 22973 139 175 0
2022-04-22 22834 158 175 0
2022-04-21 22676 159 175 2
2022-04-20 22517 211 173 0
2022-04-19 22306 178 173 1
2022-04-14 22128 234 172 0
2022-04-13 21894 229 172 0
2022-04-12 21665 87 172 0
2022-04-11 21578 45 172 0
2022-04-09 21533 135 172 0
2022-04-08 21398 113 172 0
2022-04-07 21285 199 172 2
2022-04-06 21086 222 170 0
2022-04-05 20864 193 170 2
2022-04-04 20671 156 168 0
2022-04-03 20515 1 168 0
2022-04-02 20514 1 168 0
2022-04-01 20513 97 168 1
2022-03-31 20416 159 167 0
2022-03-30 20257 214 167 0
2022-03-29 20043 340 167 1
2022-03-28 19703 196 166 2
2022-03-25 19507 273 164 0
2022-03-24 19234 240 164 0
2022-03-23 18994 344 164 0
2022-03-22 18650 382 164 0
2022-03-21 18268 257 164 0
2022-03-18 18011 169 164 0
2022-03-17 17842 305 164 0
2022-03-16 17537 331 164 2
2022-03-15 17206 351 162 0
2022-03-14 16855 92 162 0
2022-03-12 16763 33 162 0
2022-03-11 16730 325 162 0
2022-03-10 16405 192 162 0
2022-03-09 16213 239 162 1
2022-03-08 15974 225 161 2
2022-03-07 15749 218 159 0
2022-03-05 15531 107 159 0
2022-03-04 15424 246 159 1
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2022-03-02 14973 216 158 1
2022-03-01 14757 361 157 0
2022-02-28 14396 183 157 0
2022-02-26 14213 114 157 0
2022-02-25 14099 204 157 0
2022-02-24 13895 197 157 0
2022-02-23 13698 184 157 2
2022-02-22 13514 312 155 0
2022-02-21 13202 19 155 0
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2022-02-18 13021 216 155 1
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2022-02-10 11522 265 153 0
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2022-02-08 11018 330 153 1
2022-02-07 10688 106 152 0
2022-02-05 10582 91 152 0
2022-02-04 10491 200 152 0
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2022-02-02 10057 163 152 0
2022-02-01 9894 343 152 0
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2022-01-24 8751 66 152 0
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2022-01-10 8169 18 152 1
2022-01-08 8151 21 151 0
2022-01-07 8130 45 151 0
2022-01-05 8085 57 151 0
2022-01-04 8028 54 151 0
2022-01-03 7974 13 151 1
2021-12-31 7961 27 150 1
2021-12-30 7934 29 149 0
2021-12-29 7905 49 149 0
2021-12-28 7856 61 149 0
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2021-12-23 7742 33 149 0
2021-12-22 7709 89 149 0
2021-12-21 7620 129 149 1
2021-12-20 7491 98 148 2
2021-12-18 7393 19 146 0
2021-12-17 7374 96 146 1
2021-12-16 7278 120 145 1
2021-12-15 7158 97 144 0
2021-12-14 7061 153 144 2
2021-12-13 6908 31 142 0
2021-12-11 6877 83 142 2
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2021-04-03 2544 2 104 0
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2021-03-31 2487 10 103 0
2021-03-30 2477 36 103 0
2021-03-29 2441 18 103 0
2021-03-27 2423 7 103 1
2021-03-26 2416 30 102 0
2021-03-25 2386 22 102 1
2021-03-24 2364 17 101 0
2021-03-23 2347 38 101 0
2021-03-22 2309 2 101 0
2021-03-20 2307 2 101 0
2021-03-19 2305 19 101 0
2021-03-18 2286 15 101 0
2021-03-17 2271 13 101 0
2021-03-16 2258 23 101 0
2021-03-15 2235 4 101 1
2021-03-13 2231 18 100 0
2021-03-12 2213 15 100 0
2021-03-11 2198 11 100 1
2021-03-10 2187 12 99 0
2021-03-09 2175 15 99 0
2021-03-06 2160 6 99 1
2021-03-05 2154 12 98 1
2021-03-04 2142 8 97 1
2021-03-03 2134 6 96 0
2021-03-02 2128 12 96 0
2021-03-01 2116 4 96 0
2021-02-27 2112 10 96 0
2021-02-26 2102 18 96 1
2021-02-25 2084 9 95 1
2021-02-24 2075 14 94 0
2021-02-23 2061 23 94 1
2021-02-22 2038 3 93 0
2021-02-20 2035 9 93 0
2021-02-19 2026 13 93 1
2021-02-18 2013 12 92 0
2021-02-17 2001 13 92 1
2021-02-16 1988 18 91 0
2021-02-15 1970 3 91 1
2021-02-13 1967 11 90 0
2021-02-12 1956 11 90 0
2021-02-11 1945 20 90 1
2021-02-10 1925 12 89 1
2021-02-09 1913 17 88 1
2021-02-08 1896 8 87 0
2021-02-06 1888 14 87 0
2021-02-05 1874 25 87 3
2021-02-04 1849 21 84 1
2021-02-03 1828 35 83 2
2021-02-02 1793 34 81 1
2021-02-01 1759 21 80 2
2021-01-30 1738 16 78 0
2021-01-29 1722 18 78 0
2021-01-28 1704 21 78 3
2021-01-27 1683 23 75 0
2021-01-26 1660 59 75 3
2021-01-25 1601 21 72 1
2021-01-23 1580 24 71 0
2021-01-22 1556 34 71 1
2021-01-21 1522 23 70 1
2021-01-20 1499 41 69 1
2021-01-19 1458 41 68 5
2021-01-18 1417 17 63 3
2021-01-16 1400 15 60 1
2021-01-15 1385 18 59 2
2021-01-14 1367 24 57 0
2021-01-13 1343 10 57 1
2021-01-12 1333 40 56 1
2021-01-11 1293 18 55 1
2021-01-10 1275 3 54 1
2021-01-09 1272 45 53 3
2021-01-08 1227 34 50 1
2021-01-07 1193 7 49 0
2021-01-06 1186 24 49 0
2021-01-05 1162 63 49 6
2021-01-04 1099 7 43 1
2021-01-02 1092 3 42 0
2021-01-01 1089 11 42 2
2020-12-31 1078 26 40 2
2020-12-30 1052 65 38 3
2020-12-29 987 64 35 4
2020-12-28 923 6 31 2
2020-12-27 917 4 29 2
2020-12-26 913 8 27 0
2020-12-25 905 10 27 1
2020-12-24 895 19 26 0
2020-12-23 876 46 26 0
2020-12-22 830 25 26 0
2020-12-21 805 28 26 0
2020-12-19 777 20 26 0
2020-12-18 757 33 26 1
2020-12-17 724 30 25 2
2020-12-16 694 33 23 0
2020-12-15 661 33 23 0
2020-12-14 628 21 23 0
2020-12-12 607 20 23 0
2020-12-11 587 20 23 0
2020-12-10 567 19 23 0
2020-12-09 548 42 23 2
2020-12-08 506 27 21 0
2020-12-07 479 3 21 1
2020-12-05 476 19 20 1
2020-12-04 457 34 19 5
2020-12-03 423 21 14 1
2020-12-02 402 14 13 0
2020-12-01 388 25 13 1
2020-11-30 363 9 12 0
2020-11-28 354 13 12 0
2020-11-27 341 22 12 2
2020-11-26 319 26 10 0
2020-11-25 293 26 10 3
2020-11-24 267 12 7 0
2020-11-23 255 13 7 0
2020-11-20 242 11 7 1
2020-11-19 231 7 6 0
2020-11-18 224 14 6 1
2020-11-16 210 2 5 0
2020-11-13 208 6 5 0
2020-11-12 202 3 5 0
2020-11-11 199 1 5 0
2020-11-10 198 1 5 0
2020-11-09 197 3 5 0
2020-11-06 194 9 5 1
2020-11-05 185 10 4 0
2020-11-04 175 5 4 0
2020-11-03 170 8 4 0
2020-11-02 162 3 4 0
2020-10-30 159 2 4 0
2020-10-28 157 3 4 0
2020-10-27 154 7 4 0
2020-10-23 147 1 4 0
2020-10-20 146 1 4 0
2020-10-19 145 1 4 0
2020-10-16 144 2 4 1
2020-10-15 142 3 3 0
2020-10-14 139 5 3 0
2020-10-09 134 9 3 0
2020-10-08 125 3 3 0
2020-10-07 122 1 3 0
2020-10-06 121 4 3 0
2020-10-02 117 3 3 0
2020-10-01 114 1 3 0
2020-09-30 113 4 3 0
2020-09-29 109 2 3 0
2020-09-28 107 4 3 0
2020-09-25 103 2 3 0
2020-09-24 101 1 3 0
2020-09-23 100 3 3 0
2020-09-22 97 1 3 0
2020-09-21 96 1 3 0
2020-09-18 95 1 3 0
2020-09-17 94 4 3 0
2020-09-15 90 3 3 0
2020-09-14 87 1 3 0
2020-09-11 86 5 3 1
2020-09-08 81 1 2 0
2020-09-03 80 1 2 0
2020-09-01 79 1 2 0
2020-08-31 78 1 2 0
2020-08-26 77 1 2 0
2020-08-25 76 1 2 0
2020-08-21 75 2 2 0
2020-08-20 73 1 2 0
2020-08-14 72 1 2 0
2020-08-12 71 2 2 0
2020-08-11 69 1 2 0
2020-08-07 68 1 2 0
2020-08-06 67 2 2 0
2020-05-25 65 1 2 0
2020-04-30 64 1 2 0
2020-04-28 63 1 2 0
2020-04-25 62 2 2 0
2020-04-20 60 2 2 0
2020-04-18 58 2 2 0
2020-04-17 56 1 2 0
2020-04-16 55 2 2 0
2020-04-15 53 1 2 0
2020-04-12 52 3 2 0
2020-04-11 49 2 2 0
2020-04-09 47 6 2 0
2020-04-07 41 6 2 0
2020-04-05 35 4 2 0
2020-04-04 31 2 2 0
2020-04-03 29 6 2 0
2020-04-02 23 3 2 0
2020-03-27 20 4 2 0
2020-03-25 16 1 2 1
2020-03-24 15 3 1 0
2020-03-23 12 2 1 1
2020-03-21 10 1 0 0
2020-03-20 9 4 0 0
2020-03-19 5 1 0 0
2020-03-18 4 1 0 0
2020-03-17 3 1 0 0

Explore the data in your web browser¶

  • If you want to execute this notebook, click here to use myBinder
  • and wait (~1 to 2 minutes)
  • Then press SHIFT+RETURN to advance code cell to code cell
  • See http://jupyter.org for more details on how to use Jupyter Notebook

Acknowledgements:¶

  • Johns Hopkins University provides data for countries
  • Robert Koch Institute provides data for within Germany
  • Atlo Team for gathering and providing data from Hungary (https://atlo.team/koronamonitor/)
  • Open source and scientific computing community for the data tools
  • Github for hosting repository and html files
  • Project Jupyter for the Notebook and binder service
  • The H2020 project Photon and Neutron Open Science Cloud (PaNOSC)

In [7]:
print(f"Download of data from Johns Hopkins university: cases at {fetch_cases_last_execution()} and "
      f"deaths at {fetch_deaths_last_execution()}.")
Download of data from Johns Hopkins university: cases at 07/03/2023 09:31:22 and deaths at 07/03/2023 09:31:21.
In [8]:
# to force a fresh download of data, run "clear_cache()"
In [9]:
print(f"Notebook execution took: {datetime.datetime.now()-start}")
Notebook execution took: 0:03:19.126762