Germany: SK Brandenburg a.d.Havel (Brandenburg)¶

  • Homepage of project: https://oscovida.github.io
  • Plots are explained at http://oscovida.github.io/plots.html
  • Execute this Jupyter Notebook using myBinder
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 12:21:14 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="SK Brandenburg a.d.Havel", weeks=5);
2023-03-07T12:21:25.820057 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 7-day incidence rate (per 100K people) 64.9 SK Brandenburg a.d.Havel, 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 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Germany-SK Brandenburg a.d.Havel cases daily growth factor Germany-SK Brandenburg a.d.Havel cases daily growth factor (rolling mean) Germany-SK Brandenburg a.d.Havel estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 2 2 4 4 6 6 R & growth factor (based on deaths) Germany-SK Brandenburg a.d.Havel deaths daily growth factor Germany-SK Brandenburg a.d.Havel deaths daily growth factor (rolling mean) Germany-SK Brandenburg a.d.Havel 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 Brandenburg a.d.Havel doubling time cases (rolling mean) 0.00 7.25 14.49 21.74 daily change Germany-SK Brandenburg a.d.Havel new cases (rolling 7d mean) Germany-SK Brandenburg a.d.Havel new cases 0.000 0.362 0.725 daily change Germany-SK Brandenburg a.d.Havel new deaths (rolling 7d mean) Germany-SK Brandenburg a.d.Havel new deaths 0.000 0.308 0.616 0.923
In [4]:
overview(country="Germany", subregion="SK Brandenburg a.d.Havel");
2023-03-07T12:21:43.058698 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 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 64.9 SK Brandenburg a.d.Havel, 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 0 200 400 600 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 5 10 15 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Germany-SK Brandenburg a.d.Havel cases daily growth factor Germany-SK Brandenburg a.d.Havel cases daily growth factor (rolling mean) Germany-SK Brandenburg a.d.Havel estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 2 2 4 4 6 6 R & growth factor (based on deaths) Germany-SK Brandenburg a.d.Havel deaths daily growth factor Germany-SK Brandenburg a.d.Havel deaths daily growth factor (rolling mean) Germany-SK Brandenburg a.d.Havel 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 Brandenburg a.d.Havel doubling time cases (rolling mean) Germany-SK Brandenburg a.d.Havel doubling time deaths (rolling mean) 0.0 144.9 289.8 434.8 daily change Germany-SK Brandenburg a.d.Havel new cases (rolling 7d mean) Germany-SK Brandenburg a.d.Havel new cases 0.00 3.62 7.25 10.87 daily change Germany-SK Brandenburg a.d.Havel new deaths (rolling 7d mean) Germany-SK Brandenburg a.d.Havel new deaths 0.0 54.3 108.5 162.8 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="SK Brandenburg a.d.Havel", dates="2020-03-15:");
2023-03-07T12:24:11.631724 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 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 Brandenburg a.d.Havel SK Brandenburg a.d.Havel 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 0.001 0.001 0.01 0.01 0.1 0.1 1 1 daily new deaths (rolling 7-day mean) normalised by 100K people SK Brandenburg a.d.Havel Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="SK Brandenburg a.d.Havel")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Brandenburg a.d.Havel")
print(f'Population of country="Germany", subregion="SK Brandenburg a.d.Havel": {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 Brandenburg a.d.Havel": 72461 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 28896 14 211 0
2023-03-03 28882 4 211 0
2023-03-02 28878 8 211 0
2023-03-01 28870 10 211 1
2023-02-28 28860 11 210 0
2023-02-27 28849 23 210 1
2023-02-24 28826 7 209 0
2023-02-23 28819 13 209 0
2023-02-22 28806 6 209 0
2023-02-21 28800 4 209 0
2023-02-20 28796 7 209 0
2023-02-17 28789 8 209 1
2023-02-16 28781 7 208 0
2023-02-15 28774 12 208 0
2023-02-14 28762 8 208 0
2023-02-13 28754 28 208 0
2023-02-10 28726 3 208 0
2023-02-09 28723 14 208 1
2023-02-08 28709 4 207 0
2023-02-07 28705 12 207 0
2023-02-06 28693 8 207 1
2023-02-03 28685 4 206 0
2023-02-02 28681 11 206 0
2023-02-01 28670 3 206 0
2023-01-31 28667 10 206 0
2023-01-30 28657 12 206 1
2023-01-27 28645 3 205 0
2023-01-26 28642 4 205 0
2023-01-25 28638 1 205 0
2023-01-24 28637 17 205 1
2023-01-23 28620 8 204 0
2023-01-20 28612 1 204 0
2023-01-19 28611 11 204 1
2023-01-18 28600 6 203 0
2023-01-17 28594 13 203 0
2023-01-16 28581 14 203 0
2023-01-13 28567 5 203 0
2023-01-12 28562 4 203 0
2023-01-11 28558 14 203 0
2023-01-10 28544 20 203 0
2023-01-09 28524 30 203 0
2023-01-06 28494 8 203 0
2023-01-05 28486 17 203 0
2023-01-04 28469 31 203 0
2023-01-03 28438 30 203 0
2023-01-02 28408 28 203 2
2022-12-30 28380 15 201 0
2022-12-29 28365 36 201 0
2022-12-28 28329 27 201 0
2022-12-27 28302 59 201 3
2022-12-23 28243 22 198 1
2022-12-22 28221 32 197 1
2022-12-21 28189 43 196 1
2022-12-20 28146 36 195 1
2022-12-19 28110 77 194 1
2022-12-16 28033 29 193 0
2022-12-15 28004 35 193 0
2022-12-14 27969 90 193 0
2022-12-13 27879 51 193 0
2022-12-12 27828 84 193 1
2022-12-09 27744 21 192 0
2022-12-08 27723 46 192 0
2022-12-07 27677 96 192 0
2022-12-06 27581 52 192 0
2022-12-05 27529 51 192 1
2022-12-02 27478 34 191 0
2022-12-01 27444 44 191 1
2022-11-30 27400 47 190 0
2022-11-29 27353 72 190 0
2022-11-28 27281 42 190 0
2022-11-25 27239 13 190 0
2022-11-24 27226 35 190 0
2022-11-23 27191 43 190 0
2022-11-22 27148 23 190 1
2022-11-21 27125 41 189 0
2022-11-18 27084 11 189 0
2022-11-17 27073 5 189 0
2022-11-16 27068 61 189 0
2022-11-15 27007 10 189 0
2022-11-14 26997 44 189 0
2022-11-11 26953 19 189 0
2022-11-10 26934 28 189 1
2022-11-09 26906 34 188 0
2022-11-08 26872 40 188 0
2022-11-07 26832 73 188 1
2022-11-04 26759 51 187 1
2022-11-03 26708 64 186 0
2022-11-02 26644 50 186 0
2022-11-01 26594 99 186 4
2022-10-28 26495 25 182 0
2022-10-27 26470 40 182 0
2022-10-26 26430 59 182 0
2022-10-25 26371 86 182 1
2022-10-24 26285 114 181 1
2022-10-21 26171 18 180 0
2022-10-20 26153 90 180 0
2022-10-19 26063 74 180 0
2022-10-18 25989 98 180 1
2022-10-17 25891 161 179 3
2022-10-14 25730 76 176 0
2022-10-13 25654 98 176 0
2022-10-12 25556 56 176 0
2022-10-11 25500 112 176 0
2022-10-10 25388 191 176 1
2022-10-07 25197 76 175 0
2022-10-06 25121 124 175 0
2022-10-05 24997 65 175 0
2022-10-04 24932 147 175 3
2022-09-30 24785 67 172 0
2022-09-29 24718 32 172 0
2022-09-28 24686 64 172 0
2022-09-27 24622 90 172 0
2022-09-26 24532 66 172 0
2022-09-23 24466 32 172 0
2022-09-22 24434 46 172 0
2022-09-21 24388 30 172 0
2022-09-20 24358 57 172 0
2022-09-19 24301 58 172 0
2022-09-16 24243 24 172 0
2022-09-15 24219 25 172 0
2022-09-14 24194 60 172 0
2022-09-13 24134 17 172 0
2022-09-12 24117 55 172 0
2022-09-09 24062 35 172 0
2022-09-08 24027 29 172 0
2022-09-07 23998 39 172 0
2022-09-06 23959 27 172 0
2022-09-05 23932 51 172 0
2022-09-02 23881 7 172 0
2022-09-01 23874 16 172 0
2022-08-31 23858 24 172 0
2022-08-30 23834 41 172 0
2022-08-29 23793 45 172 0
2022-08-26 23748 14 172 0
2022-08-25 23734 25 172 0
2022-08-24 23709 47 172 0
2022-08-23 23662 39 172 0
2022-08-22 23623 73 172 0
2022-08-19 23550 28 172 0
2022-08-18 23522 17 172 0
2022-08-17 23505 80 172 0
2022-08-16 23425 19 172 0
2022-08-15 23406 50 172 0
2022-08-12 23356 9 172 0
2022-08-11 23347 30 172 0
2022-08-10 23317 29 172 0
2022-08-09 23288 47 172 0
2022-08-08 23241 52 172 0
2022-08-05 23189 8 172 0
2022-08-04 23181 32 172 0
2022-08-03 23149 29 172 0
2022-08-02 23120 50 172 0
2022-08-01 23070 73 172 0
2022-07-29 22997 33 172 0
2022-07-28 22964 22 172 0
2022-07-27 22942 59 172 1
2022-07-26 22883 85 171 1
2022-07-25 22798 112 170 0
2022-07-22 22686 77 170 0
2022-07-21 22609 86 170 0
2022-07-20 22523 63 170 0
2022-07-19 22460 54 170 0
2022-07-18 22406 136 170 1
2022-07-15 22270 48 169 0
2022-07-14 22222 50 169 0
2022-07-13 22172 88 169 0
2022-07-12 22084 77 169 0
2022-07-11 22007 123 169 1
2022-07-08 21884 23 168 0
2022-07-07 21861 87 168 0
2022-07-06 21774 63 168 1
2022-07-05 21711 52 167 0
2022-07-04 21659 125 167 0
2022-07-01 21534 41 167 0
2022-06-30 21493 53 167 0
2022-06-29 21440 78 167 0
2022-06-28 21362 64 167 0
2022-06-27 21298 117 167 1
2022-06-24 21181 43 166 0
2022-06-23 21138 35 166 0
2022-06-22 21103 87 166 0
2022-06-21 21016 51 166 0
2022-06-20 20965 93 166 0
2022-06-17 20872 30 166 0
2022-06-16 20842 14 166 0
2022-06-15 20828 47 166 0
2022-06-14 20781 40 166 1
2022-06-13 20741 62 165 0
2022-06-10 20679 36 165 0
2022-06-09 20643 44 165 0
2022-06-08 20599 25 165 0
2022-06-07 20574 46 165 0
2022-06-03 20528 19 165 0
2022-06-02 20509 31 165 0
2022-06-01 20478 44 165 0
2022-05-31 20434 26 165 1
2022-05-30 20408 5 164 0
2022-05-27 20403 11 164 0
2022-05-25 20392 26 164 1
2022-05-24 20366 27 163 0
2022-05-23 20339 31 163 0
2022-05-20 20308 26 163 0
2022-05-19 20282 5 163 0
2022-05-18 20277 29 163 0
2022-05-17 20248 47 163 0
2022-05-16 20201 70 163 1
2022-05-13 20131 9 162 0
2022-05-12 20122 28 162 0
2022-05-11 20094 48 162 0
2022-05-10 20046 51 162 0
2022-05-09 19995 76 162 0
2022-05-06 19919 42 162 0
2022-05-05 19877 46 162 0
2022-05-04 19831 38 162 0
2022-05-03 19793 101 162 0
2022-05-02 19692 55 162 0
2022-04-29 19637 14 162 0
2022-04-28 19623 41 162 0
2022-04-27 19582 46 162 0
2022-04-26 19536 104 162 0
2022-04-25 19432 82 162 0
2022-04-22 19350 33 162 1
2022-04-21 19317 53 161 0
2022-04-20 19264 78 161 0
2022-04-19 19186 153 161 0
2022-04-14 19033 64 161 0
2022-04-13 18969 86 161 0
2022-04-12 18883 120 161 1
2022-04-11 18763 119 160 0
2022-04-08 18644 79 160 0
2022-04-07 18565 73 160 0
2022-04-06 18492 84 160 0
2022-04-05 18408 165 160 0
2022-04-04 18243 256 160 0
2022-04-01 17987 134 160 2
2022-03-31 17853 237 158 1
2022-03-30 17616 133 157 1
2022-03-29 17483 247 156 1
2022-03-28 17236 246 155 1
2022-03-25 16990 191 154 0
2022-03-24 16799 196 154 3
2022-03-23 16603 100 151 0
2022-03-22 16503 209 151 0
2022-03-21 16294 215 151 1
2022-03-18 16079 208 150 0
2022-03-17 15871 495 150 1
2022-03-16 15376 237 149 0
2022-03-15 15139 286 149 0
2022-03-14 14853 92 149 0
2022-03-11 14761 309 149 0
2022-03-10 14452 174 149 0
2022-03-09 14278 106 149 0
2022-03-08 14172 500 149 2
2022-03-07 13672 363 147 0
2022-03-04 13309 444 147 1
2022-03-03 12865 423 146 2
2022-03-02 12442 381 144 1
2022-03-01 12061 434 143 2
2022-02-28 11627 313 141 1
2022-02-25 11314 362 140 0
2022-02-24 10952 374 140 0
2022-02-23 10578 165 140 0
2022-02-22 10413 157 140 0
2022-02-21 10256 200 140 0
2022-02-18 10056 100 140 1
2022-02-17 9956 140 139 0
2022-02-16 9816 147 139 0
2022-02-15 9669 118 139 0
2022-02-14 9551 103 139 0
2022-02-11 9448 114 139 1
2022-02-10 9334 201 138 2
2022-02-09 9133 201 136 0
2022-02-08 8932 178 136 1
2022-02-07 8754 178 135 0
2022-02-04 8576 154 135 0
2022-02-03 8422 208 135 0
2022-02-02 8214 217 135 2
2022-02-01 7997 141 133 0
2022-01-31 7856 121 133 1
2022-01-28 7735 172 132 0
2022-01-27 7563 226 132 0
2022-01-26 7337 210 132 0
2022-01-25 7127 152 132 0
2022-01-24 6975 180 132 0
2022-01-21 6795 125 132 0
2022-01-20 6670 122 132 0
2022-01-19 6548 135 132 0
2022-01-18 6413 105 132 0
2022-01-17 6308 66 132 0
2022-01-14 6242 45 132 0
2022-01-13 6197 59 132 0
2022-01-12 6138 63 132 0
2022-01-11 6075 72 132 0
2022-01-10 6003 41 132 0
2022-01-07 5962 43 132 0
2022-01-06 5919 53 132 2
2022-01-05 5866 89 130 1
2022-01-04 5777 85 129 0
2022-01-03 5692 60 129 0
2021-12-30 5632 75 129 1
2021-12-29 5557 69 128 0
2021-12-28 5488 112 128 1
2021-12-27 5376 91 127 0
2021-12-23 5285 79 127 0
2021-12-22 5206 81 127 0
2021-12-21 5125 131 127 3
2021-12-20 4994 97 124 0
2021-12-17 4897 113 124 4
2021-12-16 4784 123 120 2
2021-12-15 4661 107 118 1
2021-12-14 4554 107 117 3
2021-12-13 4447 108 114 1
2021-12-10 4339 56 113 1
2021-12-09 4283 64 112 1
2021-12-08 4219 101 111 0
2021-12-07 4118 115 111 0
2021-12-06 4003 110 111 1
2021-12-03 3893 168 110 2
2021-12-02 3725 99 108 1
2021-12-01 3626 14 107 0
2021-11-30 3612 14 107 0
2021-11-29 3598 95 107 2
2021-11-26 3503 58 105 1
2021-11-25 3445 39 104 0
2021-11-24 3406 102 104 0
2021-11-23 3304 34 104 0
2021-11-22 3270 75 104 2
2021-11-19 3195 59 102 0
2021-11-18 3136 54 102 2
2021-11-17 3082 54 100 0
2021-11-16 3028 50 100 2
2021-11-15 2978 32 98 0
2021-11-12 2946 29 98 1
2021-11-11 2917 38 97 0
2021-11-10 2879 31 97 0
2021-11-09 2848 30 97 1
2021-11-08 2818 18 96 0
2021-11-05 2800 17 96 0
2021-11-04 2783 13 96 0
2021-11-03 2770 20 96 1
2021-11-02 2750 15 95 1
2021-11-01 2735 9 94 0
2021-10-29 2726 9 94 0
2021-10-28 2717 12 94 0
2021-10-27 2705 8 94 0
2021-10-26 2697 13 94 0
2021-10-25 2684 14 94 1
2021-10-22 2670 4 93 0
2021-10-21 2666 3 93 0
2021-10-20 2663 4 93 0
2021-10-19 2659 4 93 0
2021-10-18 2655 6 93 0
2021-10-15 2649 2 93 0
2021-10-14 2647 2 93 0
2021-10-13 2645 2 93 0
2021-10-12 2643 5 93 0
2021-10-11 2638 9 93 1
2021-10-08 2629 1 92 0
2021-10-07 2628 3 92 0
2021-10-06 2625 8 92 0
2021-10-05 2617 1 92 0
2021-10-04 2616 9 92 1
2021-10-01 2607 3 91 0
2021-09-30 2604 5 91 0
2021-09-29 2599 13 91 0
2021-09-28 2586 7 91 0
2021-09-27 2579 12 91 0
2021-09-24 2567 6 91 0
2021-09-23 2561 5 91 0
2021-09-22 2556 7 91 0
2021-09-21 2549 11 91 0
2021-09-20 2538 21 91 0
2021-09-17 2517 4 91 0
2021-09-16 2513 8 91 0
2021-09-15 2505 15 91 0
2021-09-14 2490 10 91 0
2021-09-13 2480 22 91 0
2021-09-10 2458 15 91 0
2021-09-09 2443 16 91 0
2021-09-08 2427 16 91 0
2021-09-07 2411 10 91 0
2021-09-06 2401 15 91 0
2021-09-02 2386 2 91 0
2021-08-31 2384 2 91 1
2021-08-30 2382 10 90 0
2021-08-27 2372 1 90 0
2021-08-26 2371 2 90 0
2021-08-25 2369 5 90 0
2021-08-24 2364 5 90 0
2021-08-23 2359 2 90 0
2021-08-20 2357 3 90 0
2021-08-19 2354 2 90 0
2021-08-18 2352 3 90 0
2021-08-17 2349 1 90 0
2021-08-16 2348 3 90 0
2021-08-12 2345 1 90 0
2021-08-11 2344 1 90 0
2021-08-02 2343 2 90 0
2021-07-30 2341 1 90 0
2021-07-27 2340 2 90 0
2021-07-23 2338 1 90 0
2021-07-20 2337 1 90 0
2021-07-12 2336 1 90 0
2021-07-09 2335 1 90 0
2021-07-05 2334 1 90 0
2021-07-01 2333 1 90 0
2021-06-23 2332 1 90 0
2021-06-13 2331 1 90 0
2021-06-10 2330 1 90 0
2021-06-08 2329 1 90 0
2021-06-01 2328 2 90 0
2021-05-31 2326 2 90 0
2021-05-29 2324 2 90 0
2021-05-28 2322 3 90 0
2021-05-27 2319 6 90 0
2021-05-26 2313 16 90 0
2021-05-24 2297 1 90 0
2021-05-23 2296 4 90 0
2021-05-22 2292 8 90 0
2021-05-21 2284 13 90 1
2021-05-20 2271 4 89 0
2021-05-19 2267 8 89 0
2021-05-18 2259 8 89 0
2021-05-17 2251 1 89 0
2021-05-15 2250 2 89 0
2021-05-14 2248 3 89 0
2021-05-13 2245 5 89 0
2021-05-12 2240 10 89 1
2021-05-11 2230 14 88 0
2021-05-10 2216 3 88 0
2021-05-09 2213 2 88 0
2021-05-08 2211 3 88 0
2021-05-07 2208 8 88 0
2021-05-06 2200 5 88 0
2021-05-05 2195 5 88 0
2021-05-04 2190 10 88 0
2021-05-03 2180 3 88 0
2021-05-02 2177 10 88 0
2021-05-01 2167 10 88 0
2021-04-30 2157 10 88 0
2021-04-29 2147 15 88 0
2021-04-28 2132 25 88 1
2021-04-27 2107 24 87 0
2021-04-26 2083 2 87 1
2021-04-25 2081 4 86 0
2021-04-24 2077 14 86 0
2021-04-23 2063 3 86 0
2021-04-22 2060 27 86 1
2021-04-21 2033 13 85 0
2021-04-20 2020 22 85 0
2021-04-19 1998 1 85 0
2021-04-18 1997 11 85 2
2021-04-17 1986 15 83 0
2021-04-16 1971 13 83 2
2021-04-15 1958 11 81 0
2021-04-14 1947 14 81 0
2021-04-13 1933 11 81 0
2021-04-12 1922 4 81 0
2021-04-11 1918 3 81 0
2021-04-10 1915 10 81 0
2021-04-09 1905 11 81 0
2021-04-08 1894 20 81 1
2021-04-07 1874 30 80 0
2021-04-06 1844 7 80 1
2021-04-05 1837 10 79 0
2021-04-03 1827 7 79 0
2021-04-02 1820 5 79 0
2021-04-01 1815 9 79 1
2021-03-31 1806 25 78 1
2021-03-30 1781 11 77 0
2021-03-29 1770 2 77 1
2021-03-28 1768 2 76 0
2021-03-27 1766 23 76 0
2021-03-26 1743 14 76 0
2021-03-25 1729 7 76 0
2021-03-24 1722 17 76 0
2021-03-23 1705 19 76 0
2021-03-22 1686 3 76 0
2021-03-21 1683 2 76 0
2021-03-20 1681 4 76 0
2021-03-19 1677 13 76 0
2021-03-18 1664 11 76 0
2021-03-17 1653 13 76 0
2021-03-16 1640 5 76 0
2021-03-15 1635 1 76 0
2021-03-14 1634 2 76 0
2021-03-13 1632 8 76 0
2021-03-12 1624 10 76 1
2021-03-11 1614 6 75 1
2021-03-10 1608 8 74 0
2021-03-09 1600 6 74 0
2021-03-08 1594 2 74 0
2021-03-06 1592 2 74 0
2021-03-05 1590 9 74 0
2021-03-04 1581 3 74 0
2021-03-03 1578 1 74 0
2021-03-02 1577 5 74 0
2021-02-28 1572 4 74 0
2021-02-26 1568 5 74 0
2021-02-25 1563 8 74 0
2021-02-24 1555 17 74 0
2021-02-23 1538 13 74 1
2021-02-22 1525 4 73 0
2021-02-20 1521 3 73 0
2021-02-19 1518 16 73 0
2021-02-18 1502 11 73 0
2021-02-17 1491 16 73 0
2021-02-16 1475 14 73 1
2021-02-15 1461 6 72 0
2021-02-14 1455 9 72 0
2021-02-13 1446 1 72 0
2021-02-12 1445 4 72 0
2021-02-11 1441 2 72 0
2021-02-10 1439 8 72 1
2021-02-09 1431 9 71 0
2021-02-08 1422 3 71 1
2021-02-07 1419 2 70 0
2021-02-06 1417 4 70 0
2021-02-05 1413 11 70 1
2021-02-04 1402 1 69 0
2021-02-03 1401 9 69 0
2021-02-02 1392 9 69 2
2021-02-01 1383 10 67 0
2021-01-31 1373 1 67 0
2021-01-30 1372 6 67 0
2021-01-29 1366 18 67 1
2021-01-28 1348 28 66 1
2021-01-27 1320 10 65 1
2021-01-26 1310 24 64 0
2021-01-25 1286 6 64 0
2021-01-24 1280 16 64 0
2021-01-23 1264 3 64 1
2021-01-22 1261 56 63 13
2021-01-21 1205 13 50 0
2021-01-20 1192 16 50 0
2021-01-19 1176 26 50 1
2021-01-18 1150 6 49 2
2021-01-17 1144 7 47 0
2021-01-16 1137 20 47 0
2021-01-15 1117 10 47 0
2021-01-14 1107 20 47 2
2021-01-13 1087 47 45 0
2021-01-12 1040 10 45 1
2021-01-11 1030 10 44 2
2021-01-10 1020 5 42 0
2021-01-09 1015 30 42 0
2021-01-08 985 47 42 2
2021-01-07 938 44 40 2
2021-01-06 894 14 38 0
2021-01-05 880 15 38 1
2021-01-04 865 5 37 1
2021-01-03 860 2 36 0
2021-01-02 858 1 36 0
2021-01-01 857 28 36 2
2020-12-31 829 20 34 1
2020-12-30 809 38 33 1
2020-12-29 771 12 32 2
2020-12-28 759 8 30 0
2020-12-27 751 7 30 0
2020-12-26 744 9 30 1
2020-12-25 735 25 29 2
2020-12-24 710 8 27 1
2020-12-23 702 29 26 0
2020-12-22 673 19 26 0
2020-12-21 654 15 26 1
2020-12-20 639 13 25 0
2020-12-19 626 9 25 0
2020-12-18 617 40 25 3
2020-12-17 577 12 22 3
2020-12-16 565 15 19 0
2020-12-15 550 22 19 3
2020-12-14 528 6 16 2
2020-12-13 522 10 14 0
2020-12-12 512 10 14 0
2020-12-11 502 7 14 0
2020-12-10 495 3 14 1
2020-12-09 492 12 13 0
2020-12-08 480 9 13 0
2020-12-07 471 1 13 1
2020-12-06 470 3 12 0
2020-12-05 467 11 12 0
2020-12-04 456 7 12 0
2020-12-03 449 14 12 0
2020-12-02 435 18 12 0
2020-12-01 417 7 12 0
2020-11-30 410 6 12 1
2020-11-28 404 5 11 1
2020-11-27 399 7 10 0
2020-11-26 392 17 10 2
2020-11-25 375 19 8 0
2020-11-24 356 7 8 0
2020-11-23 349 6 8 0
2020-11-22 343 5 8 0
2020-11-21 338 7 8 1
2020-11-20 331 26 7 0
2020-11-19 305 26 7 1
2020-11-18 279 10 6 1
2020-11-17 269 11 5 0
2020-11-16 258 1 5 0
2020-11-15 257 1 5 0
2020-11-14 256 2 5 0
2020-11-13 254 19 5 0
2020-11-12 235 8 5 1
2020-11-11 227 7 4 1
2020-11-10 220 5 3 0
2020-11-09 215 5 3 1
2020-11-08 210 1 2 0
2020-11-07 209 5 2 0
2020-11-06 204 9 2 0
2020-11-05 195 8 2 0
2020-11-04 187 4 2 0
2020-11-03 183 3 2 0
2020-11-02 180 1 2 0
2020-11-01 179 3 2 1
2020-10-31 176 8 1 0
2020-10-30 168 6 1 0
2020-10-29 162 5 1 0
2020-10-28 157 10 1 0
2020-10-27 147 7 1 0
2020-10-26 140 2 1 0
2020-10-25 138 2 1 0
2020-10-24 136 3 1 0
2020-10-23 133 9 1 0
2020-10-22 124 16 1 0
2020-10-21 108 7 1 0
2020-10-20 101 9 1 0
2020-10-17 92 3 1 0
2020-10-16 89 2 1 0
2020-10-12 87 1 1 0
2020-10-10 86 1 1 0
2020-10-07 85 4 1 0
2020-10-02 81 2 1 0
2020-09-29 79 1 1 0
2020-09-24 78 2 1 0
2020-09-22 76 1 1 0
2020-09-18 75 2 1 0
2020-09-17 73 1 1 0
2020-09-12 72 1 1 0
2020-09-05 71 1 1 0
2020-08-27 70 1 1 0
2020-08-21 69 1 1 0
2020-08-20 68 1 1 0
2020-08-19 67 1 1 0
2020-08-13 66 1 1 0
2020-06-16 65 1 1 0
2020-06-12 64 2 1 0
2020-06-10 62 1 1 0
2020-05-20 61 1 1 0
2020-05-07 60 1 1 1
2020-05-02 59 2 0 0
2020-04-30 57 1 0 0
2020-04-29 56 1 0 0
2020-04-24 55 1 0 0
2020-04-23 54 1 0 0
2020-04-22 53 2 0 0
2020-04-21 51 1 0 0
2020-04-20 50 1 0 0
2020-04-15 49 3 0 0
2020-04-13 46 1 0 0
2020-04-11 45 1 0 0
2020-04-10 44 2 0 0
2020-04-09 42 3 0 0
2020-04-07 39 5 0 0
2020-04-06 34 1 0 0
2020-04-05 33 1 0 0
2020-04-04 32 1 0 0
2020-04-03 31 3 0 0
2020-04-02 28 1 0 0
2020-04-01 27 3 0 0
2020-03-31 24 7 0 0
2020-03-30 17 1 0 0
2020-03-29 16 1 0 0
2020-03-28 15 1 0 0
2020-03-26 14 2 0 0
2020-03-24 12 1 0 0
2020-03-23 11 3 0 0
2020-03-22 8 2 0 0
2020-03-20 6 1 0 0
2020-03-19 5 2 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: 0:03:27.384497