Germany: LK Unstrut-Hainich-Kreis (Thüringen)¶

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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 16:16:06 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Unstrut-Hainich-Kreis", weeks=5);
2023-03-07T16:16:21.142128 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 20 20 30 30 40 40 7-day incidence rate (per 100K people) 26.7 LK Unstrut-Hainich-Kreis, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 5 10 15 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar −0.050 −0.050 −0.025 −0.025 0.000 0.000 0.025 0.025 0.050 0.050 daily change Germany-LK Unstrut-Hainich-Kreis new deaths (rolling 7d mean) Germany-LK Unstrut-Hainich-Kreis new deaths 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-LK Unstrut-Hainich-Kreis cases daily growth factor Germany-LK Unstrut-Hainich-Kreis cases daily growth factor (rolling mean) Germany-LK Unstrut-Hainich-Kreis estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Germany-LK Unstrut-Hainich-Kreis deaths daily growth factor Germany-LK Unstrut-Hainich-Kreis deaths daily growth factor (rolling mean) Germany-LK Unstrut-Hainich-Kreis estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 5000 10000 15000 20000 cases doubling time [days] Germany-LK Unstrut-Hainich-Kreis doubling time cases (rolling mean) 0.00 5.06 10.13 15.19 daily change Germany-LK Unstrut-Hainich-Kreis new cases (rolling 7d mean) Germany-LK Unstrut-Hainich-Kreis new cases 0.000 0.204 0.409 0.613 0.818
In [4]:
overview(country="Germany", subregion="LK Unstrut-Hainich-Kreis");
2023-03-07T16:16:37.269389 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 7-day incidence rate (per 100K people) 26.7 LK Unstrut-Hainich-Kreis, 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 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 8 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-LK Unstrut-Hainich-Kreis cases daily growth factor Germany-LK Unstrut-Hainich-Kreis cases daily growth factor (rolling mean) Germany-LK Unstrut-Hainich-Kreis estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0.8 0.8 0.9 0.9 1.0 1.0 1.1 1.1 1.2 1.2 R & growth factor (based on deaths) Germany-LK Unstrut-Hainich-Kreis deaths daily growth factor Germany-LK Unstrut-Hainich-Kreis deaths daily growth factor (rolling mean) Germany-LK Unstrut-Hainich-Kreis estimated R (using deaths) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 5000 10000 15000 20000 cases doubling time [days] Germany-LK Unstrut-Hainich-Kreis doubling time cases (rolling mean) Germany-LK Unstrut-Hainich-Kreis doubling time deaths (rolling mean) 0.0 202.5 405.1 daily change Germany-LK Unstrut-Hainich-Kreis new cases (rolling 7d mean) Germany-LK Unstrut-Hainich-Kreis new cases 0.00 2.03 4.05 6.08 8.10 daily change Germany-LK Unstrut-Hainich-Kreis new deaths (rolling 7d mean) Germany-LK Unstrut-Hainich-Kreis new deaths 0.0 93.1 186.3 279.4 372.6 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Unstrut-Hainich-Kreis", dates="2020-03-15:");
2023-03-07T16:19:04.098139 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 Unstrut-Hainich-Kreis LK Unstrut-Hainich-Kreis 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 Unstrut-Hainich-Kreis Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Unstrut-Hainich-Kreis")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Unstrut-Hainich-Kreis")
print(f'Population of country="Germany", subregion="LK Unstrut-Hainich-Kreis": {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 Unstrut-Hainich-Kreis": 101269 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 43947 12 451 0
2023-03-03 43935 2 451 0
2023-03-02 43933 8 451 0
2023-02-28 43925 5 451 0
2023-02-27 43920 18 451 0
2023-02-24 43902 6 451 0
2023-02-23 43896 5 451 0
2023-02-22 43891 14 451 0
2023-02-21 43877 1 451 0
2023-02-20 43876 4 451 0
2023-02-17 43872 2 451 0
2023-02-16 43870 6 451 0
2023-02-15 43864 6 451 0
2023-02-14 43858 2 451 0
2023-02-13 43856 4 451 0
2023-02-10 43852 3 451 0
2023-02-09 43849 2 451 0
2023-02-08 43847 1 451 0
2023-02-07 43846 5 451 0
2023-02-06 43841 7 451 0
2023-02-03 43834 5 451 0
2023-02-02 43829 3 451 0
2023-02-01 43826 6 451 0
2023-01-31 43820 3 451 0
2023-01-30 43817 5 451 0
2023-01-27 43812 4 451 0
2023-01-25 43808 2 451 0
2023-01-24 43806 4 451 0
2023-01-23 43802 5 451 0
2023-01-20 43797 4 451 0
2023-01-19 43793 11 451 0
2023-01-18 43782 10 451 0
2023-01-17 43772 8 451 0
2023-01-16 43764 10 451 0
2023-01-13 43754 4 451 0
2023-01-12 43750 8 451 0
2023-01-11 43742 26 451 0
2023-01-10 43716 23 451 0
2023-01-09 43693 24 451 2
2023-01-06 43669 9 449 0
2023-01-05 43660 14 449 0
2023-01-04 43646 6 449 0
2023-01-03 43640 14 449 1
2023-01-02 43626 20 448 0
2022-12-30 43606 10 448 0
2022-12-29 43596 7 448 0
2022-12-28 43589 17 448 0
2022-12-27 43572 25 448 0
2022-12-23 43547 21 448 1
2022-12-22 43526 21 447 0
2022-12-21 43505 14 447 0
2022-12-20 43491 19 447 0
2022-12-19 43472 35 447 0
2022-12-16 43437 23 447 0
2022-12-15 43414 9 447 0
2022-12-14 43405 14 447 0
2022-12-13 43391 26 447 0
2022-12-12 43365 35 447 0
2022-12-09 43330 14 447 0
2022-12-08 43316 32 447 1
2022-12-07 43284 28 446 0
2022-12-06 43256 17 446 0
2022-12-05 43239 24 446 0
2022-12-02 43215 21 446 0
2022-12-01 43194 5 446 0
2022-11-30 43189 23 446 0
2022-11-29 43166 23 446 0
2022-11-28 43143 24 446 0
2022-11-25 43119 16 446 0
2022-11-24 43103 34 446 0
2022-11-23 43069 15 446 0
2022-11-22 43054 20 446 0
2022-11-21 43034 26 446 1
2022-11-18 43008 10 445 0
2022-11-17 42998 14 445 0
2022-11-16 42984 28 445 0
2022-11-15 42956 10 445 0
2022-11-14 42946 32 445 1
2022-11-11 42914 14 444 0
2022-11-10 42900 20 444 0
2022-11-09 42880 26 444 0
2022-11-08 42854 29 444 0
2022-11-07 42825 43 444 1
2022-11-04 42782 19 443 0
2022-11-03 42763 43 443 0
2022-11-02 42720 59 443 1
2022-11-01 42661 111 442 2
2022-10-28 42550 26 440 0
2022-10-27 42524 42 440 0
2022-10-26 42482 102 440 2
2022-10-25 42380 68 438 1
2022-10-24 42312 123 437 2
2022-10-21 42189 46 435 0
2022-10-20 42143 100 435 0
2022-10-19 42043 114 435 0
2022-10-18 41929 124 435 0
2022-10-17 41805 116 435 2
2022-10-14 41689 82 433 0
2022-10-13 41607 95 433 0
2022-10-12 41512 190 433 1
2022-10-11 41322 61 432 0
2022-10-10 41261 196 432 1
2022-10-07 41065 111 431 0
2022-10-06 40954 136 431 0
2022-10-05 40818 71 431 0
2022-10-04 40747 141 431 1
2022-09-30 40606 55 430 0
2022-09-29 40551 68 430 0
2022-09-28 40483 95 430 0
2022-09-27 40388 73 430 0
2022-09-26 40315 153 430 0
2022-09-23 40162 77 430 0
2022-09-22 40085 88 430 1
2022-09-21 39997 153 429 1
2022-09-16 39844 72 428 0
2022-09-15 39772 108 428 0
2022-09-14 39664 123 428 0
2022-09-13 39541 46 428 0
2022-09-12 39495 93 428 0
2022-09-09 39402 91 428 1
2022-09-08 39311 112 427 0
2022-09-07 39199 134 427 0
2022-09-06 39065 87 427 0
2022-09-05 38978 81 427 2
2022-09-02 38897 24 425 0
2022-09-01 38873 37 425 1
2022-08-31 38836 20 424 0
2022-08-30 38816 36 424 0
2022-08-29 38780 36 424 0
2022-08-26 38744 23 424 0
2022-08-25 38721 33 424 0
2022-08-24 38688 32 424 0
2022-08-23 38656 50 424 0
2022-08-22 38606 57 424 1
2022-08-19 38549 19 423 0
2022-08-18 38530 35 423 0
2022-08-17 38495 51 423 0
2022-08-16 38444 45 423 0
2022-08-15 38399 85 423 1
2022-08-12 38314 25 422 0
2022-08-11 38289 37 422 0
2022-08-10 38252 50 422 0
2022-08-09 38202 51 422 0
2022-08-08 38151 69 422 1
2022-08-05 38082 35 421 0
2022-08-04 38047 55 421 1
2022-08-03 37992 71 420 0
2022-08-02 37921 50 420 0
2022-08-01 37871 81 420 0
2022-07-29 37790 89 420 0
2022-07-28 37701 42 420 0
2022-07-27 37659 70 420 0
2022-07-26 37589 60 420 0
2022-07-25 37529 142 420 0
2022-07-22 37387 68 420 0
2022-07-21 37319 99 420 0
2022-07-20 37220 90 420 0
2022-07-19 37130 82 420 0
2022-07-18 37048 224 420 0
2022-07-15 36824 51 420 0
2022-07-14 36773 102 420 0
2022-07-13 36671 65 420 0
2022-07-12 36606 93 420 1
2022-07-11 36513 185 419 0
2022-07-08 36328 77 419 0
2022-07-07 36251 49 419 0
2022-07-06 36202 90 419 0
2022-07-05 36112 74 419 0
2022-07-04 36038 129 419 0
2022-07-01 35909 50 419 0
2022-06-30 35859 87 419 0
2022-06-29 35772 97 419 0
2022-06-28 35675 65 419 1
2022-06-27 35610 91 418 0
2022-06-24 35519 43 418 0
2022-06-23 35476 48 418 0
2022-06-22 35428 44 418 0
2022-06-21 35384 58 418 0
2022-06-20 35326 54 418 1
2022-06-17 35272 22 417 0
2022-06-16 35250 40 417 0
2022-06-15 35210 41 417 0
2022-06-14 35169 45 417 0
2022-06-13 35124 53 417 0
2022-06-10 35071 24 417 0
2022-06-09 35047 33 417 0
2022-06-08 35014 32 417 0
2022-06-07 34982 23 417 0
2022-06-03 34959 11 417 0
2022-06-02 34948 15 417 0
2022-06-01 34933 32 417 0
2022-05-31 34901 31 417 0
2022-05-30 34870 56 417 0
2022-05-25 34814 19 417 0
2022-05-24 34795 33 417 0
2022-05-23 34762 42 417 1
2022-05-20 34720 28 416 0
2022-05-19 34692 18 416 0
2022-05-18 34674 30 416 0
2022-05-17 34644 55 416 0
2022-05-16 34589 60 416 0
2022-05-13 34529 35 416 0
2022-05-12 34494 50 416 0
2022-05-11 34444 73 416 0
2022-05-10 34371 66 416 0
2022-05-09 34305 97 416 0
2022-05-06 34208 31 416 0
2022-05-05 34177 71 416 0
2022-05-04 34106 160 416 0
2022-05-03 33946 50 416 0
2022-05-02 33896 105 416 1
2022-04-29 33791 100 415 0
2022-04-28 33691 158 415 1
2022-04-27 33533 151 414 1
2022-04-26 33382 63 413 0
2022-04-25 33319 205 413 0
2022-04-22 33114 106 413 1
2022-04-21 33008 337 412 0
2022-04-20 32671 54 412 0
2022-04-19 32617 305 412 2
2022-04-14 32312 199 410 0
2022-04-13 32113 212 410 0
2022-04-12 31901 131 410 0
2022-04-11 31770 227 410 0
2022-04-08 31543 136 410 0
2022-04-07 31407 228 410 0
2022-04-06 31179 252 410 0
2022-04-05 30927 493 410 2
2022-04-04 30434 486 408 0
2022-04-01 29948 424 408 1
2022-03-31 29524 345 407 0
2022-03-30 29179 344 407 1
2022-03-29 28835 419 406 1
2022-03-28 28416 205 405 1
2022-03-27 28211 422 404 0
2022-03-26 27789 373 404 0
2022-03-25 27416 207 404 0
2022-03-24 27209 370 404 1
2022-03-23 26839 349 403 0
2022-03-22 26490 543 403 2
2022-03-21 25947 460 401 1
2022-03-20 25487 332 400 1
2022-03-19 25155 316 399 0
2022-03-18 24839 275 399 0
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2022-03-16 24226 476 399 1
2022-03-15 23750 258 398 0
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2022-03-13 23239 274 397 2
2022-03-12 22965 230 395 0
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2021-09-03 6454 3 264 0
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2021-06-16 6405 11 264 0
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2021-06-01 6292 11 264 1
2021-05-31 6281 9 263 0
2021-05-29 6272 9 263 0
2021-05-28 6263 13 263 0
2021-05-27 6250 5 263 0
2021-05-26 6245 10 263 1
2021-05-25 6235 7 262 0
2021-05-24 6228 2 262 0
2021-05-23 6226 1 262 1
2021-05-22 6225 15 261 0
2021-05-21 6210 14 261 0
2021-05-20 6196 19 261 0
2021-05-19 6177 31 261 1
2021-05-18 6146 33 260 0
2021-05-17 6113 10 260 0
2021-05-15 6103 15 260 0
2021-05-14 6088 21 260 2
2021-05-13 6067 18 258 0
2021-05-12 6049 42 258 0
2021-05-11 6007 21 258 0
2021-05-10 5986 39 258 1
2021-05-08 5947 16 257 1
2021-05-07 5931 26 256 1
2021-05-06 5905 35 255 1
2021-05-05 5870 28 254 1
2021-05-04 5842 30 253 0
2021-05-03 5812 14 253 2
2021-05-02 5798 2 251 0
2021-05-01 5796 11 251 0
2021-04-30 5785 32 251 1
2021-04-29 5753 29 250 2
2021-04-28 5724 20 248 0
2021-04-27 5704 35 248 2
2021-04-26 5669 6 246 0
2021-04-24 5663 11 246 1
2021-04-23 5652 27 245 0
2021-04-22 5625 23 245 1
2021-04-21 5602 24 244 0
2021-04-20 5578 21 244 0
2021-04-19 5557 16 244 1
2021-04-17 5541 23 243 0
2021-04-16 5518 16 243 0
2021-04-15 5502 21 243 0
2021-04-14 5481 37 243 2
2021-04-13 5444 26 241 1
2021-04-12 5418 17 240 0
2021-04-10 5401 13 240 1
2021-04-09 5388 23 239 1
2021-04-08 5365 44 238 3
2021-04-07 5321 33 235 2
2021-04-06 5288 16 233 0
2021-04-05 5272 8 233 0
2021-04-03 5264 8 233 2
2021-04-02 5256 21 231 0
2021-04-01 5235 21 231 0
2021-03-31 5214 22 231 0
2021-03-30 5192 22 231 0
2021-03-29 5170 13 231 2
2021-03-28 5157 1 229 0
2021-03-27 5156 14 229 0
2021-03-26 5142 16 229 0
2021-03-25 5126 19 229 2
2021-03-24 5107 15 227 0
2021-03-23 5092 21 227 0
2021-03-22 5071 5 227 0
2021-03-20 5066 14 227 1
2021-03-19 5052 30 226 0
2021-03-18 5022 18 226 0
2021-03-17 5004 19 226 1
2021-03-16 4985 25 225 1
2021-03-15 4960 10 224 1
2021-03-14 4950 9 223 0
2021-03-13 4941 24 223 0
2021-03-12 4917 25 223 0
2021-03-11 4892 24 223 0
2021-03-10 4868 38 223 1
2021-03-09 4830 25 222 2
2021-03-08 4805 18 220 0
2021-03-07 4787 3 220 0
2021-03-06 4784 7 220 1
2021-03-05 4777 26 219 0
2021-03-04 4751 18 219 0
2021-03-03 4733 42 219 0
2021-03-02 4691 43 219 1
2021-03-01 4648 7 218 0
2021-02-28 4641 5 218 0
2021-02-27 4636 11 218 0
2021-02-26 4625 22 218 0
2021-02-25 4603 40 218 2
2021-02-24 4563 39 216 1
2021-02-23 4524 19 215 1
2021-02-22 4505 13 214 1
2021-02-21 4492 2 213 0
2021-02-20 4490 42 213 2
2021-02-19 4448 26 211 1
2021-02-18 4422 24 210 1
2021-02-17 4398 47 209 4
2021-02-16 4351 26 205 3
2021-02-15 4325 46 202 2
2021-02-14 4279 6 200 0
2021-02-13 4273 28 200 2
2021-02-12 4245 29 198 0
2021-02-11 4216 39 198 3
2021-02-10 4177 13 195 0
2021-02-09 4164 8 195 1
2021-02-08 4156 12 194 1
2021-02-07 4144 5 193 1
2021-02-06 4139 23 192 0
2021-02-05 4116 20 192 1
2021-02-04 4096 39 191 3
2021-02-03 4057 31 188 0
2021-02-02 4026 36 188 2
2021-02-01 3990 9 186 0
2021-01-31 3981 5 186 0
2021-01-30 3976 32 186 1
2021-01-29 3944 29 185 9
2021-01-28 3915 40 176 3
2021-01-27 3875 31 173 0
2021-01-26 3844 36 173 0
2021-01-25 3808 11 173 2
2021-01-24 3797 5 171 0
2021-01-23 3792 34 171 6
2021-01-22 3758 9 165 3
2021-01-21 3749 73 162 7
2021-01-20 3676 24 155 2
2021-01-19 3652 57 153 2
2021-01-18 3595 31 151 1
2021-01-17 3564 40 150 1
2021-01-16 3524 41 149 1
2021-01-15 3483 64 148 2
2021-01-14 3419 53 146 1
2021-01-13 3366 67 145 1
2021-01-12 3299 77 144 1
2021-01-11 3222 29 143 1
2021-01-10 3193 35 142 2
2021-01-09 3158 73 140 7
2021-01-08 3085 105 133 3
2021-01-07 2980 92 130 6
2021-01-06 2888 67 124 2
2021-01-05 2821 65 122 3
2021-01-04 2756 26 119 0
2021-01-03 2730 7 119 0
2021-01-02 2723 17 119 2
2021-01-01 2706 14 117 0
2020-12-31 2692 76 117 3
2020-12-30 2616 86 114 5
2020-12-29 2530 49 109 2
2020-12-28 2481 37 107 2
2020-12-27 2444 68 105 3
2020-12-26 2376 88 102 6
2020-12-25 2288 65 96 6
2020-12-24 2223 64 90 7
2020-12-23 2159 98 83 6
2020-12-22 2061 39 77 3
2020-12-21 2022 42 74 1
2020-12-20 1980 49 73 1
2020-12-19 1931 82 72 4
2020-12-18 1849 82 68 2
2020-12-17 1767 76 66 2
2020-12-16 1691 121 64 8
2020-12-15 1570 59 56 1
2020-12-14 1511 12 55 0
2020-12-13 1499 11 55 1
2020-12-12 1488 106 54 0
2020-12-11 1382 86 54 3
2020-12-10 1296 59 51 0
2020-12-09 1237 80 51 1
2020-12-08 1157 36 50 1
2020-12-07 1121 10 49 1
2020-12-06 1111 24 48 1
2020-12-05 1087 29 47 1
2020-12-04 1058 41 46 2
2020-12-03 1017 44 44 1
2020-12-02 973 29 43 2
2020-12-01 944 38 41 2
2020-11-30 906 12 39 0
2020-11-28 894 15 39 0
2020-11-27 879 42 39 0
2020-11-26 837 35 39 1
2020-11-25 802 20 38 0
2020-11-24 782 40 38 2
2020-11-23 742 9 36 0
2020-11-22 733 4 36 0
2020-11-21 729 28 36 1
2020-11-20 701 47 35 1
2020-11-19 654 58 34 7
2020-11-18 596 30 27 0
2020-11-17 566 27 27 2
2020-11-16 539 17 25 0
2020-11-15 522 3 25 0
2020-11-14 519 6 25 0
2020-11-13 513 55 25 4
2020-11-12 458 38 21 2
2020-11-11 420 32 19 2
2020-11-10 388 9 17 2
2020-11-09 379 5 15 2
2020-11-08 374 13 13 1
2020-11-07 361 32 12 1
2020-11-06 329 13 11 0
2020-11-05 316 20 11 3
2020-11-04 296 15 8 1
2020-11-03 281 12 7 0
2020-11-02 269 8 7 0
2020-11-01 261 1 7 0
2020-10-31 260 6 7 0
2020-10-30 254 10 7 0
2020-10-29 244 8 7 0
2020-10-28 236 6 7 0
2020-10-27 230 14 7 0
2020-10-26 216 1 7 0
2020-10-25 215 10 7 0
2020-10-24 205 1 7 0
2020-10-23 204 12 7 0
2020-10-22 192 11 7 0
2020-10-21 181 10 7 0
2020-10-20 171 12 7 0
2020-10-18 159 12 7 0
2020-10-17 147 10 7 0
2020-10-16 137 5 7 0
2020-10-15 132 5 7 0
2020-10-14 127 2 7 0
2020-10-13 125 5 7 0
2020-10-10 120 2 7 1
2020-10-08 118 1 6 0
2020-10-07 117 1 6 0
2020-10-06 116 2 6 0
2020-09-30 114 1 6 0
2020-09-29 113 2 6 0
2020-09-25 111 1 6 0
2020-09-24 110 2 6 0
2020-09-23 108 1 6 0
2020-09-21 107 3 6 0
2020-09-19 104 2 6 0
2020-09-18 102 1 6 0
2020-09-11 101 1 6 0
2020-09-08 100 1 6 0
2020-09-07 99 1 6 0
2020-09-06 98 1 6 0
2020-09-03 97 2 6 0
2020-09-02 95 1 6 0
2020-09-01 94 1 6 0
2020-08-17 93 1 6 0
2020-07-02 92 1 6 0
2020-06-17 91 1 6 0
2020-06-16 90 1 6 0
2020-06-11 89 1 6 0
2020-06-10 88 1 6 0
2020-06-09 87 2 6 0
2020-06-06 85 2 6 0
2020-06-05 83 1 6 0
2020-06-03 82 1 6 0
2020-05-30 81 2 6 0
2020-05-28 79 1 6 0
2020-05-26 78 1 6 0
2020-05-02 77 1 6 0
2020-04-30 76 1 6 0
2020-04-29 75 1 6 0
2020-04-28 74 4 6 0
2020-04-24 70 2 6 0
2020-04-22 68 3 6 1
2020-04-21 65 1 5 0
2020-04-20 64 2 5 0
2020-04-18 62 1 5 0
2020-04-16 61 4 5 0
2020-04-15 57 2 5 0
2020-04-14 55 3 5 0
2020-04-11 52 5 5 0
2020-04-09 47 4 5 1
2020-04-08 43 2 4 1
2020-04-07 41 6 3 0
2020-04-04 35 4 3 0
2020-04-03 31 5 3 0
2020-04-02 26 5 3 2
2020-04-01 21 2 1 0
2020-03-31 19 3 1 0
2020-03-30 16 5 1 0
2020-03-29 11 1 1 0
2020-03-26 10 2 1 1
2020-03-25 8 1 0 0
2020-03-24 7 1 0 0
2020-03-23 6 1 0 0
2020-03-19 5 3 0 0
2020-03-17 2 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: 0:04:25.394851