Germany: LK Bitburg-Prüm (Rheinland-Pfalz)¶

  • 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 14:47:36 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Bitburg-Prüm", weeks=5);
2023-03-07T14:47:50.637110 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 100 100 200 200 300 300 7-day incidence rate (per 100K people) 165.4 LK Bitburg-Prüm, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 25 50 75 100 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.2 0.4 0.6 0.8 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Bitburg-Prüm cases daily growth factor Germany-LK Bitburg-Prüm cases daily growth factor (rolling mean) Germany-LK Bitburg-Prüm 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-LK Bitburg-Prüm deaths daily growth factor Germany-LK Bitburg-Prüm deaths daily growth factor (rolling mean) Germany-LK Bitburg-Prüm estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 1000 2000 3000 cases doubling time [days] Germany-LK Bitburg-Prüm doubling time cases (rolling mean) 0.0 25.2 50.5 75.7 101.0 daily change Germany-LK Bitburg-Prüm new cases (rolling 7d mean) Germany-LK Bitburg-Prüm new cases 0.000 0.202 0.404 0.606 0.808 daily change Germany-LK Bitburg-Prüm new deaths (rolling 7d mean) Germany-LK Bitburg-Prüm new deaths 0.000 0.322 0.644 0.966
In [4]:
overview(country="Germany", subregion="LK Bitburg-Prüm");
2023-03-07T14:48:08.537541 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 2000 2000 7-day incidence rate (per 100K people) 165.4 LK Bitburg-Prüm, 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 1 2 3 4 daily change normalised per 100K May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 1.0 1.0 1.5 1.5 2.0 2.0 R & growth factor (based on cases) Germany-LK Bitburg-Prüm cases daily growth factor Germany-LK Bitburg-Prüm cases daily growth factor (rolling mean) Germany-LK Bitburg-Prüm 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-LK Bitburg-Prüm deaths daily growth factor Germany-LK Bitburg-Prüm deaths daily growth factor (rolling mean) Germany-LK Bitburg-Prüm estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 1000 2000 3000 4000 cases doubling time [days] Germany-LK Bitburg-Prüm doubling time cases (rolling mean) Germany-LK Bitburg-Prüm doubling time deaths (rolling mean) 0.0 101.0 201.9 302.9 403.8 daily change Germany-LK Bitburg-Prüm new cases (rolling 7d mean) Germany-LK Bitburg-Prüm new cases 0.000 1.010 2.019 3.029 4.038 daily change Germany-LK Bitburg-Prüm new deaths (rolling 7d mean) Germany-LK Bitburg-Prüm new deaths 0.00 14.69 29.39 44.08 58.77 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Bitburg-Prüm", dates="2020-03-15:");
2023-03-07T14:50:26.410392 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: LK Bitburg-Prüm LK Bitburg-Prüm 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 LK Bitburg-Prüm Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Bitburg-Prüm")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Bitburg-Prüm")
print(f'Population of country="Germany", subregion="LK Bitburg-Prüm": {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="LK Bitburg-Prüm": 100959 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 33374 32 89 0
2023-03-03 33342 2 89 0
2023-03-02 33340 22 89 0
2023-03-01 33318 77 89 0
2023-02-28 33241 34 89 0
2023-02-27 33207 120 89 0
2023-02-24 33087 89 89 0
2023-02-23 32998 55 89 0
2023-02-22 32943 23 89 0
2023-02-21 32920 51 89 1
2023-02-17 32869 33 88 0
2023-02-16 32836 1 88 0
2023-02-15 32835 21 88 0
2023-02-14 32814 6 88 0
2023-02-13 32808 29 88 0
2023-02-10 32779 23 88 0
2023-02-09 32756 24 88 0
2023-02-08 32732 44 88 0
2023-02-07 32688 27 88 1
2023-02-06 32661 21 87 0
2023-02-03 32640 14 87 0
2023-02-02 32626 10 87 1
2023-02-01 32616 13 86 0
2023-01-31 32603 18 86 0
2023-01-30 32585 9 86 0
2023-01-27 32576 15 86 1
2023-01-26 32561 12 85 1
2023-01-25 32549 11 84 0
2023-01-24 32538 7 84 0
2023-01-23 32531 9 84 1
2023-01-20 32522 12 83 0
2023-01-19 32510 15 83 0
2023-01-18 32495 18 83 0
2023-01-17 32477 15 83 1
2023-01-16 32462 17 82 1
2023-01-13 32445 3 81 0
2023-01-12 32442 12 81 0
2023-01-11 32430 25 81 1
2023-01-10 32405 14 80 0
2023-01-09 32391 25 80 0
2023-01-06 32366 9 80 0
2023-01-05 32357 15 80 0
2023-01-04 32342 25 80 1
2023-01-03 32317 25 79 0
2023-01-02 32292 33 79 0
2022-12-30 32259 17 79 0
2022-12-29 32242 44 79 0
2022-12-28 32198 18 79 1
2022-12-27 32180 72 78 2
2022-12-23 32108 20 76 0
2022-12-22 32088 25 76 1
2022-12-21 32063 49 75 0
2022-12-20 32014 15 75 0
2022-12-19 31999 45 75 0
2022-12-17 31954 2 75 0
2022-12-16 31952 24 75 0
2022-12-15 31928 28 75 0
2022-12-14 31900 27 75 1
2022-12-13 31873 19 74 0
2022-12-12 31854 39 74 1
2022-12-10 31815 1 73 0
2022-12-09 31814 15 73 0
2022-12-08 31799 22 73 0
2022-12-07 31777 25 73 1
2022-12-06 31752 24 72 0
2022-12-05 31728 31 72 0
2022-12-02 31697 21 72 0
2022-12-01 31676 22 72 0
2022-11-30 31654 14 72 0
2022-11-29 31640 16 72 0
2022-11-28 31624 36 72 1
2022-11-27 31588 1 71 0
2022-11-25 31587 12 71 0
2022-11-24 31575 23 71 0
2022-11-23 31552 23 71 0
2022-11-22 31529 21 71 0
2022-11-21 31508 44 71 0
2022-11-18 31464 13 71 1
2022-11-17 31451 11 70 0
2022-11-16 31440 23 70 0
2022-11-15 31417 27 70 0
2022-11-14 31390 41 70 0
2022-11-13 31349 1 70 0
2022-11-11 31348 13 70 0
2022-11-10 31335 27 70 0
2022-11-09 31308 38 70 0
2022-11-08 31270 41 70 0
2022-11-07 31229 44 70 1
2022-11-04 31185 42 69 0
2022-11-03 31143 28 69 0
2022-11-02 31115 46 69 0
2022-11-01 31069 1 69 0
2022-10-31 31068 49 69 1
2022-10-29 31019 1 68 0
2022-10-28 31018 30 68 0
2022-10-27 30988 52 68 2
2022-10-26 30936 45 66 0
2022-10-25 30891 74 66 0
2022-10-24 30817 127 66 0
2022-10-21 30690 69 66 0
2022-10-20 30621 88 66 1
2022-10-19 30533 125 65 0
2022-10-18 30408 132 65 0
2022-10-17 30276 169 65 0
2022-10-16 30107 1 65 0
2022-10-15 30106 1 65 0
2022-10-14 30105 93 65 0
2022-10-13 30012 106 65 5
2022-10-12 29906 161 60 1
2022-10-11 29745 121 59 0
2022-10-10 29624 183 59 1
2022-10-08 29441 2 58 0
2022-10-07 29439 92 58 1
2022-10-06 29347 167 57 1
2022-10-05 29180 163 56 1
2022-10-04 29017 198 55 1
2022-09-30 28819 71 54 0
2022-09-29 28748 95 54 0
2022-09-28 28653 100 54 0
2022-09-27 28553 115 54 1
2022-09-26 28438 129 53 0
2022-09-23 28309 66 53 1
2022-09-22 28243 63 52 0
2022-09-21 28180 75 52 0
2022-09-20 28105 83 52 0
2022-09-19 28022 90 52 1
2022-09-18 27932 1 51 0
2022-09-16 27931 27 51 0
2022-09-15 27904 50 51 0
2022-09-14 27854 34 51 0
2022-09-13 27820 31 51 0
2022-09-12 27789 53 51 0
2022-09-09 27736 21 51 0
2022-09-08 27715 26 51 0
2022-09-07 27689 31 51 0
2022-09-06 27658 34 51 0
2022-09-05 27624 46 51 0
2022-09-02 27578 18 51 0
2022-09-01 27560 37 51 0
2022-08-31 27523 26 51 0
2022-08-30 27497 35 51 0
2022-08-29 27462 50 51 0
2022-08-26 27412 21 51 0
2022-08-25 27391 25 51 0
2022-08-24 27366 45 51 0
2022-08-23 27321 46 51 0
2022-08-22 27275 50 51 0
2022-08-19 27225 17 51 0
2022-08-18 27208 38 51 0
2022-08-17 27170 58 51 0
2022-08-16 27112 50 51 0
2022-08-15 27062 50 51 0
2022-08-12 27012 27 51 0
2022-08-11 26985 48 51 0
2022-08-10 26937 51 51 0
2022-08-09 26886 68 51 0
2022-08-08 26818 55 51 0
2022-08-05 26763 44 51 0
2022-08-04 26719 39 51 1
2022-08-03 26680 49 50 0
2022-08-02 26631 58 50 0
2022-08-01 26573 77 50 3
2022-07-29 26496 50 47 0
2022-07-28 26446 58 47 0
2022-07-27 26388 108 47 0
2022-07-26 26280 90 47 0
2022-07-25 26190 135 47 0
2022-07-22 26055 70 47 1
2022-07-21 25985 93 46 1
2022-07-20 25892 131 45 0
2022-07-19 25761 127 45 2
2022-07-18 25634 150 43 1
2022-07-16 25484 5 42 0
2022-07-15 25479 94 42 0
2022-07-14 25385 107 42 0
2022-07-13 25278 152 42 0
2022-07-12 25126 115 42 0
2022-07-11 25011 116 42 0
2022-07-09 24895 2 42 0
2022-07-08 24893 66 42 0
2022-07-07 24827 93 42 1
2022-07-06 24734 120 41 0
2022-07-05 24614 127 41 0
2022-07-04 24487 127 41 1
2022-07-03 24360 1 40 0
2022-07-01 24359 67 40 0
2022-06-30 24292 94 40 0
2022-06-29 24198 85 40 0
2022-06-28 24113 109 40 0
2022-06-27 24004 117 40 0
2022-06-24 23887 47 40 0
2022-06-23 23840 90 40 0
2022-06-22 23750 122 40 0
2022-06-21 23628 92 40 0
2022-06-20 23536 106 40 0
2022-06-19 23430 1 40 0
2022-06-18 23429 1 40 0
2022-06-17 23428 52 40 0
2022-06-15 23376 76 40 0
2022-06-14 23300 87 40 0
2022-06-13 23213 134 40 1
2022-06-11 23079 8 39 0
2022-06-10 23071 11 39 0
2022-06-09 23060 72 39 0
2022-06-08 22988 46 39 0
2022-06-07 22942 57 39 0
2022-06-06 22885 1 39 0
2022-06-05 22884 1 39 0
2022-06-04 22883 1 39 0
2022-06-03 22882 31 39 0
2022-06-02 22851 31 39 0
2022-06-01 22820 48 39 0
2022-05-31 22772 25 39 0
2022-05-30 22747 11 39 0
2022-05-29 22736 7 39 0
2022-05-28 22729 9 39 0
2022-05-27 22720 20 39 0
2022-05-25 22700 51 39 0
2022-05-24 22649 51 39 0
2022-05-23 22598 21 39 0
2022-05-21 22577 20 39 0
2022-05-20 22557 31 39 0
2022-05-19 22526 38 39 0
2022-05-18 22488 58 39 1
2022-05-17 22430 78 38 0
2022-05-16 22352 32 38 0
2022-05-14 22320 50 38 0
2022-05-13 22270 43 38 0
2022-05-12 22227 63 38 0
2022-05-11 22164 99 38 0
2022-05-10 22065 83 38 0
2022-05-09 21982 32 38 0
2022-05-07 21950 46 38 0
2022-05-06 21904 45 38 0
2022-05-05 21859 67 38 0
2022-05-04 21792 59 38 0
2022-05-03 21733 104 38 0
2022-05-02 21629 41 38 0
2022-05-01 21588 1 38 0
2022-04-30 21587 61 38 0
2022-04-29 21526 61 38 0
2022-04-28 21465 90 38 0
2022-04-27 21375 87 38 0
2022-04-26 21288 104 38 0
2022-04-25 21184 51 38 0
2022-04-24 21133 14 38 0
2022-04-23 21119 13 38 1
2022-04-22 21106 125 37 0
2022-04-21 20981 121 37 0
2022-04-20 20860 139 37 0
2022-04-19 20721 97 37 0
2022-04-18 20624 18 37 0
2022-04-17 20606 4 37 0
2022-04-16 20602 114 37 0
2022-04-14 20488 157 37 0
2022-04-13 20331 105 37 0
2022-04-12 20226 134 37 0
2022-04-11 20092 79 37 0
2022-04-10 20013 23 37 0
2022-04-09 19990 92 37 0
2022-04-08 19898 68 37 0
2022-04-07 19830 121 37 0
2022-04-06 19709 155 37 0
2022-04-05 19554 220 37 0
2022-04-04 19334 143 37 0
2022-04-03 19191 17 37 0
2022-04-02 19174 156 37 0
2022-04-01 19018 160 37 1
2022-03-31 18858 258 36 0
2022-03-30 18600 302 36 0
2022-03-29 18298 376 36 0
2022-03-28 17922 155 36 0
2022-03-27 17767 110 36 0
2022-03-26 17657 125 36 0
2022-03-25 17532 150 36 0
2022-03-24 17382 269 36 0
2022-03-23 17113 361 36 0
2022-03-22 16752 294 36 0
2022-03-21 16458 173 36 0
2022-03-20 16285 120 36 0
2022-03-19 16165 197 36 0
2022-03-18 15968 188 36 0
2022-03-17 15780 334 36 0
2022-03-16 15446 423 36 0
2022-03-15 15023 368 36 0
2022-03-14 14655 164 36 0
2022-03-13 14491 221 36 0
2022-03-12 14270 178 36 0
2022-03-11 14092 156 36 0
2022-03-10 13936 323 36 0
2022-03-09 13613 283 36 0
2022-03-08 13330 401 36 0
2022-03-07 12929 435 36 0
2022-03-06 12494 13 36 0
2022-03-05 12481 265 36 0
2022-03-04 12216 271 36 0
2022-03-03 11945 357 36 0
2022-03-02 11588 296 36 0
2022-03-01 11292 186 36 0
2022-02-28 11106 56 36 0
2022-02-27 11050 64 36 0
2022-02-26 10986 66 36 0
2022-02-25 10920 238 36 1
2022-02-24 10682 197 35 1
2022-02-23 10485 165 34 0
2022-02-22 10320 170 34 0
2022-02-21 10150 106 34 0
2022-02-20 10044 188 34 0
2022-02-19 9856 85 34 0
2022-02-18 9771 131 34 0
2022-02-17 9640 227 34 0
2022-02-16 9413 211 34 0
2022-02-15 9202 196 34 0
2022-02-14 9006 100 34 0
2022-02-13 8906 91 34 0
2022-02-12 8815 139 34 0
2022-02-11 8676 164 34 0
2022-02-10 8512 169 34 0
2022-02-09 8343 157 34 0
2022-02-08 8186 182 34 0
2022-02-07 8004 157 34 0
2022-02-06 7847 160 34 0
2022-02-05 7687 105 34 0
2022-02-04 7582 91 34 0
2022-02-03 7491 162 34 0
2022-02-02 7329 233 34 0
2022-02-01 7096 211 34 0
2022-01-31 6885 86 34 0
2022-01-30 6799 220 34 0
2022-01-28 6579 208 34 0
2022-01-27 6371 166 34 0
2022-01-26 6205 158 34 0
2022-01-25 6047 220 34 0
2022-01-24 5827 108 34 0
2022-01-23 5719 173 34 0
2022-01-22 5546 136 34 0
2022-01-21 5410 184 34 0
2022-01-20 5226 170 34 0
2022-01-19 5056 116 34 0
2022-01-18 4940 147 34 0
2022-01-17 4793 67 34 0
2022-01-16 4726 43 34 0
2022-01-15 4683 57 34 0
2022-01-14 4626 116 34 0
2022-01-13 4510 80 34 0
2022-01-12 4430 64 34 0
2022-01-11 4366 63 34 0
2022-01-10 4303 65 34 0
2022-01-09 4238 13 34 0
2022-01-08 4225 14 34 0
2022-01-07 4211 54 34 0
2022-01-06 4157 75 34 0
2022-01-05 4082 42 34 0
2022-01-04 4040 27 34 0
2022-01-03 4013 52 34 0
2022-01-02 3961 21 34 0
2022-01-01 3940 21 34 0
2021-12-31 3919 6 34 0
2021-12-30 3913 41 34 0
2021-12-29 3872 36 34 0
2021-12-28 3836 15 34 0
2021-12-27 3821 19 34 0
2021-12-25 3802 22 34 1
2021-12-23 3780 32 33 0
2021-12-22 3748 15 33 1
2021-12-21 3733 23 32 1
2021-12-20 3710 43 31 0
2021-12-19 3667 4 31 0
2021-12-18 3663 16 31 0
2021-12-17 3647 36 31 0
2021-12-16 3611 41 31 0
2021-12-15 3570 23 31 1
2021-12-14 3547 34 30 1
2021-12-13 3513 7 29 0
2021-12-12 3506 6 29 0
2021-12-11 3500 26 29 0
2021-12-10 3474 15 29 0
2021-12-09 3459 25 29 0
2021-12-08 3434 19 29 0
2021-12-07 3415 18 29 0
2021-12-06 3397 13 29 0
2021-12-05 3384 7 29 0
2021-12-04 3377 27 29 1
2021-12-03 3350 22 28 0
2021-12-02 3328 37 28 0
2021-12-01 3291 27 28 0
2021-11-30 3264 46 28 0
2021-11-29 3218 11 28 0
2021-11-28 3207 6 28 0
2021-11-27 3201 18 28 1
2021-11-26 3183 48 27 1
2021-11-25 3135 38 26 1
2021-11-24 3097 38 25 0
2021-11-23 3059 71 25 0
2021-11-22 2988 5 25 0
2021-11-21 2983 9 25 0
2021-11-20 2974 64 25 0
2021-11-19 2910 22 25 1
2021-11-18 2888 42 24 0
2021-11-17 2846 33 24 0
2021-11-16 2813 37 24 1
2021-11-15 2776 21 23 1
2021-11-14 2755 6 22 0
2021-11-13 2749 25 22 0
2021-11-12 2724 10 22 0
2021-11-11 2714 21 22 0
2021-11-10 2693 26 22 0
2021-11-09 2667 14 22 0
2021-11-08 2653 19 22 0
2021-11-07 2634 4 22 0
2021-11-06 2630 9 22 0
2021-11-05 2621 15 22 0
2021-11-04 2606 36 22 1
2021-11-03 2570 13 21 0
2021-11-02 2557 3 21 0
2021-11-01 2554 12 21 0
2021-10-31 2542 1 21 0
2021-10-30 2541 17 21 0
2021-10-29 2524 10 21 0
2021-10-28 2514 13 21 0
2021-10-27 2501 14 21 0
2021-10-26 2487 9 21 0
2021-10-25 2478 7 21 0
2021-10-23 2471 10 21 0
2021-10-22 2461 4 21 0
2021-10-21 2457 4 21 0
2021-10-20 2453 5 21 0
2021-10-19 2448 8 21 0
2021-10-18 2440 9 21 0
2021-10-17 2431 3 21 0
2021-10-16 2428 12 21 1
2021-10-15 2416 14 20 0
2021-10-14 2402 17 20 0
2021-10-13 2385 7 20 0
2021-10-12 2378 8 20 0
2021-10-11 2370 15 20 0
2021-10-10 2355 3 20 0
2021-10-09 2352 18 20 0
2021-10-08 2334 2 20 0
2021-10-07 2332 9 20 0
2021-10-06 2323 11 20 0
2021-10-05 2312 17 20 0
2021-10-04 2295 14 20 0
2021-10-03 2281 1 20 0
2021-10-02 2280 12 20 0
2021-10-01 2268 4 20 0
2021-09-30 2264 11 20 0
2021-09-29 2253 2 20 0
2021-09-28 2251 6 20 0
2021-09-27 2245 8 20 0
2021-09-26 2237 1 20 0
2021-09-25 2236 16 20 1
2021-09-24 2220 3 19 0
2021-09-23 2217 6 19 0
2021-09-22 2211 10 19 0
2021-09-21 2201 2 19 0
2021-09-20 2199 12 19 0
2021-09-18 2187 6 19 0
2021-09-17 2181 4 19 0
2021-09-16 2177 6 19 0
2021-09-15 2171 6 19 0
2021-09-14 2165 3 19 0
2021-09-13 2162 14 19 0
2021-09-11 2148 4 19 0
2021-09-10 2144 4 19 0
2021-09-09 2140 5 19 0
2021-09-08 2135 6 19 0
2021-09-07 2129 13 19 0
2021-09-06 2116 12 19 0
2021-09-05 2104 1 19 0
2021-09-04 2103 11 19 0
2021-09-03 2092 17 19 0
2021-09-02 2075 8 19 0
2021-09-01 2067 14 19 0
2021-08-31 2053 13 19 0
2021-08-30 2040 14 19 0
2021-08-28 2026 6 19 1
2021-08-27 2020 8 18 0
2021-08-26 2012 4 18 0
2021-08-25 2008 3 18 0
2021-08-24 2005 14 18 0
2021-08-23 1991 21 18 0
2021-08-22 1970 3 18 0
2021-08-21 1967 8 18 0
2021-08-20 1959 10 18 0
2021-08-19 1949 15 18 0
2021-08-18 1934 7 18 0
2021-08-17 1927 5 18 0
2021-08-16 1922 5 18 0
2021-08-15 1917 1 18 0
2021-08-14 1916 6 18 0
2021-08-12 1910 5 18 0
2021-08-11 1905 1 18 0
2021-08-09 1904 1 18 0
2021-08-07 1903 2 18 0
2021-08-06 1901 6 18 0
2021-08-05 1895 3 18 0
2021-08-04 1892 2 18 0
2021-08-03 1890 2 18 0
2021-08-02 1888 1 18 0
2021-08-01 1887 3 18 0
2021-07-31 1884 1 18 0
2021-07-30 1883 8 18 0
2021-07-29 1875 4 18 0
2021-07-28 1871 5 18 0
2021-07-27 1866 3 18 0
2021-07-26 1863 5 18 0
2021-07-23 1858 3 18 0
2021-07-22 1855 10 18 0
2021-07-21 1845 1 18 0
2021-07-20 1844 7 18 0
2021-07-19 1837 2 18 0
2021-07-18 1835 2 18 0
2021-07-17 1833 2 18 0
2021-07-15 1831 5 18 0
2021-07-14 1826 2 18 0
2021-07-13 1824 1 18 0
2021-07-12 1823 4 18 0
2021-07-09 1819 1 18 0
2021-07-08 1818 1 18 0
2021-07-07 1817 1 18 0
2021-07-06 1816 5 18 0
2021-07-05 1811 1 18 0
2021-07-03 1810 3 18 0
2021-06-28 1807 2 18 0
2021-06-26 1805 2 18 0
2021-06-23 1803 1 18 0
2021-06-18 1802 1 18 0
2021-06-17 1801 2 18 0
2021-06-09 1799 1 18 0
2021-06-07 1798 1 18 0
2021-06-03 1797 2 18 0
2021-05-31 1795 1 18 0
2021-05-29 1794 7 18 0
2021-05-28 1787 1 18 0
2021-05-26 1786 2 18 0
2021-05-13 1784 10 18 0
2021-05-08 1774 1 18 0
2021-05-05 1773 1 18 0
2021-05-04 1772 1 18 0
2021-05-02 1771 1 18 0
2021-05-01 1770 1 18 0
2021-04-27 1769 2 18 0
2021-04-26 1767 1 18 0
2021-04-24 1766 1 18 0
2021-04-22 1765 2 18 0
2021-04-19 1763 1 18 0
2021-04-17 1762 1 18 0
2021-04-12 1761 2 18 0
2021-04-11 1759 6 18 0
2021-04-10 1753 7 18 0
2021-04-09 1746 4 18 0
2021-04-05 1742 1 18 0
2021-04-01 1741 3 18 0
2021-03-31 1738 10 18 0
2021-03-30 1728 27 18 0
2021-03-29 1701 8 18 0
2021-03-28 1693 2 18 0
2021-03-27 1691 25 18 0
2021-03-26 1666 9 18 0
2021-03-25 1657 19 18 0
2021-03-24 1638 4 18 0
2021-03-19 1634 23 18 1
2021-03-18 1611 11 17 0
2021-03-17 1600 8 17 0
2021-03-16 1592 7 17 0
2021-03-15 1585 3 17 0
2021-03-14 1582 4 17 0
2021-03-13 1578 21 17 0
2021-03-12 1557 10 17 0
2021-03-11 1547 4 17 0
2021-03-10 1543 14 17 0
2021-03-09 1529 5 17 0
2021-03-08 1524 6 17 0
2021-03-07 1518 1 17 0
2021-03-06 1517 8 17 0
2021-03-05 1509 1 17 0
2021-03-04 1508 4 17 0
2021-03-03 1504 4 17 0
2021-03-02 1500 5 17 0
2021-03-01 1495 7 17 0
2021-02-27 1488 1 17 0
2021-02-26 1487 3 17 0
2021-02-12 1484 17 17 0
2021-02-11 1467 20 17 0
2021-02-10 1447 12 17 0
2021-02-09 1435 9 17 0
2021-02-08 1426 9 17 0
2021-02-06 1417 1 17 0
2021-02-05 1416 7 17 0
2021-02-04 1409 2 17 0
2021-02-03 1407 3 17 0
2021-02-02 1404 3 17 0
2021-02-01 1401 2 17 0
2021-01-31 1399 6 17 0
2021-01-30 1393 3 17 0
2021-01-29 1390 8 17 0
2021-01-28 1382 9 17 0
2021-01-27 1373 6 17 0
2021-01-26 1367 7 17 0
2021-01-25 1360 9 17 0
2021-01-24 1351 8 17 0
2021-01-23 1343 4 17 0
2021-01-22 1339 8 17 0
2021-01-21 1331 9 17 0
2021-01-20 1322 4 17 0
2021-01-19 1318 7 17 0
2021-01-18 1311 7 17 0
2021-01-16 1304 1 17 0
2021-01-15 1303 17 17 0
2021-01-14 1286 9 17 0
2021-01-13 1277 11 17 0
2021-01-12 1266 5 17 0
2021-01-11 1261 13 17 0
2021-01-10 1248 2 17 0
2021-01-09 1246 10 17 0
2021-01-08 1236 6 17 0
2021-01-07 1230 18 17 0
2021-01-06 1212 7 17 0
2021-01-05 1205 32 17 0
2021-01-04 1173 17 17 1
2021-01-02 1156 4 16 1
2021-01-01 1152 3 15 1
2020-12-29 1149 2 14 0
2020-12-26 1147 4 14 0
2020-12-22 1143 1 14 0
2020-12-19 1142 12 14 1
2020-12-11 1130 1 13 0
2020-12-09 1129 3 13 0
2020-12-08 1126 1 13 0
2020-12-04 1125 1 13 0
2020-12-03 1124 1 13 0
2020-12-02 1123 1 13 0
2020-12-01 1122 35 13 0
2020-11-30 1087 57 13 3
2020-11-29 1030 5 10 0
2020-11-28 1025 15 10 0
2020-11-27 1010 10 10 0
2020-11-26 1000 11 10 0
2020-11-25 989 11 10 1
2020-11-24 978 24 9 0
2020-11-23 954 7 9 0
2020-11-22 947 2 9 0
2020-11-21 945 16 9 0
2020-11-20 929 32 9 1
2020-11-19 897 15 8 0
2020-11-18 882 14 8 1
2020-11-17 868 15 7 0
2020-11-16 853 25 7 0
2020-11-15 828 8 7 0
2020-11-14 820 5 7 0
2020-11-13 815 24 7 0
2020-11-12 791 9 7 0
2020-11-11 782 16 7 0
2020-11-10 766 21 7 0
2020-11-09 745 8 7 0
2020-11-08 737 7 7 1
2020-11-07 730 12 6 0
2020-11-06 718 19 6 0
2020-11-05 699 4 6 0
2020-11-04 695 1 6 0
2020-11-03 694 29 6 0
2020-11-02 665 11 6 0
2020-11-01 654 20 6 0
2020-10-31 634 12 6 0
2020-10-30 622 11 6 0
2020-10-29 611 14 6 0
2020-10-28 597 6 6 0
2020-10-27 591 23 6 0
2020-10-26 568 21 6 0
2020-10-25 547 32 6 0
2020-10-24 515 14 6 0
2020-10-23 501 8 6 0
2020-10-22 493 21 6 0
2020-10-19 472 1 6 0
2020-10-18 471 1 6 0
2020-10-16 470 17 6 0
2020-10-15 453 11 6 0
2020-10-14 442 14 6 0
2020-10-13 428 10 6 0
2020-10-12 418 24 6 0
2020-10-11 394 20 6 0
2020-10-10 374 24 6 0
2020-10-09 350 9 6 0
2020-10-08 341 25 6 0
2020-10-07 316 1 6 0
2020-10-05 315 5 6 0
2020-10-03 310 2 6 0
2020-10-02 308 3 6 0
2020-10-01 305 3 6 0
2020-09-30 302 1 6 0
2020-09-28 301 1 6 0
2020-09-27 300 1 6 0
2020-09-25 299 1 6 0
2020-09-24 298 4 6 0
2020-09-18 294 1 6 0
2020-09-11 293 3 6 0
2020-09-09 290 4 6 0
2020-09-06 286 1 6 0
2020-09-05 285 1 6 1
2020-09-03 284 2 5 0
2020-09-01 282 1 5 0
2020-08-31 281 3 5 0
2020-08-27 278 1 5 0
2020-08-26 277 1 5 0
2020-08-25 276 1 5 0
2020-08-20 275 4 5 0
2020-08-17 271 1 5 0
2020-08-16 270 1 5 0
2020-08-15 269 1 5 0
2020-08-14 268 1 5 0
2020-08-10 267 3 5 0
2020-08-08 264 4 5 0
2020-08-07 260 3 5 0
2020-08-06 257 1 5 0
2020-08-05 256 2 5 0
2020-08-04 254 1 5 0
2020-08-03 253 7 5 0
2020-07-30 246 7 5 0
2020-07-29 239 2 5 0
2020-07-27 237 7 5 0
2020-07-25 230 1 5 0
2020-07-24 229 2 5 0
2020-07-23 227 2 5 0
2020-07-22 225 1 5 0
2020-07-20 224 5 5 0
2020-07-19 219 9 5 0
2020-07-16 210 9 5 0
2020-07-14 201 1 5 0
2020-07-12 200 4 5 0
2020-07-11 196 1 5 0
2020-06-26 195 2 5 0
2020-06-23 193 8 5 0
2020-06-22 185 1 5 0
2020-06-19 184 1 5 0
2020-06-18 183 1 5 0
2020-06-16 182 1 5 0
2020-05-20 181 1 5 0
2020-05-14 180 1 5 0
2020-05-13 179 1 5 0
2020-05-12 178 2 5 0
2020-05-11 176 1 5 0
2020-05-09 175 1 5 0
2020-05-06 174 2 5 0
2020-05-04 172 1 5 0
2020-05-01 171 2 5 0
2020-04-30 169 2 5 0
2020-04-29 167 1 5 1
2020-04-28 166 1 4 0
2020-04-26 165 2 4 0
2020-04-25 163 1 4 0
2020-04-24 162 3 4 0
2020-04-23 159 1 4 0
2020-04-22 158 1 4 0
2020-04-21 157 2 4 0
2020-04-20 155 1 4 0
2020-04-19 154 3 4 0
2020-04-18 151 3 4 0
2020-04-17 148 2 4 0
2020-04-16 146 3 4 0
2020-04-15 143 2 4 0
2020-04-14 141 4 4 0
2020-04-13 137 3 4 0
2020-04-12 134 1 4 0
2020-04-11 133 3 4 0
2020-04-09 130 3 4 0
2020-04-08 127 1 4 0
2020-04-07 126 2 4 0
2020-04-06 124 5 4 0
2020-04-05 119 3 4 0
2020-04-04 116 1 4 0
2020-04-03 115 3 4 1
2020-04-02 112 2 3 0
2020-04-01 110 16 3 0
2020-03-30 94 5 3 0
2020-03-29 89 1 3 1
2020-03-28 88 12 2 1
2020-03-27 76 4 1 0
2020-03-26 72 16 1 1
2020-03-25 56 2 0 0
2020-03-24 54 9 0 0
2020-03-23 45 2 0 0
2020-03-22 43 2 0 0
2020-03-21 41 5 0 0
2020-03-20 36 7 0 0
2020-03-19 29 2 0 0
2020-03-18 27 7 0 0
2020-03-17 20 2 0 0
2020-03-16 18 4 0 0
2020-03-15 14 3 0 0
2020-03-14 11 6 0 0
2020-03-13 5 2 0 0
2020-03-12 3 2 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: 0:04:38.143159