Germany: LK Lüchow-Dannenberg (Niedersachsen)¶

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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 13:15:12 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Lüchow-Dannenberg", weeks=5);
2023-03-07T13:15:24.944676 image/svg+xml Matplotlib v3.7.1, https://matplotlib.org/ 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 60 60 80 80 100 100 120 120 140 140 7-day incidence rate (per 100K people) 61.9 LK Lüchow-Dannenberg, Germany, last 5 weeks, last data point from 2023-03-06 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 20 40 daily change normalised per 100K 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0.0 0.5 1.0 1.5 2.0 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-LK Lüchow-Dannenberg cases daily growth factor Germany-LK Lüchow-Dannenberg cases daily growth factor (rolling mean) Germany-LK Lüchow-Dannenberg estimated R (using cases) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 0 2 2 4 4 6 6 R & growth factor (based on deaths) Germany-LK Lüchow-Dannenberg deaths daily growth factor Germany-LK Lüchow-Dannenberg deaths daily growth factor (rolling mean) Germany-LK Lüchow-Dannenberg estimated R (using deaths) 30 Jan 06 Feb 13 Feb 20 Feb 27 Feb 06 Mar 0 2000 4000 cases doubling time [days] Germany-LK Lüchow-Dannenberg doubling time cases (rolling mean) 0.00 9.69 19.39 daily change Germany-LK Lüchow-Dannenberg new cases (rolling 7d mean) Germany-LK Lüchow-Dannenberg new cases 0.000 0.242 0.485 0.727 0.969 daily change Germany-LK Lüchow-Dannenberg new deaths (rolling 7d mean) Germany-LK Lüchow-Dannenberg new deaths 0.000 0.384 0.769
In [4]:
overview(country="Germany", subregion="LK Lüchow-Dannenberg");
2023-03-07T13:15:42.467705 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) 61.9 LK Lüchow-Dannenberg, 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 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 0.75 0.75 1.00 1.00 1.25 1.25 1.50 1.50 R & growth factor (based on cases) Germany-LK Lüchow-Dannenberg cases daily growth factor Germany-LK Lüchow-Dannenberg cases daily growth factor (rolling mean) Germany-LK Lüchow-Dannenberg estimated R (using cases) May 20 Sep 20 Jan 21 May 21 Sep 21 Jan 22 May 22 Sep 22 Jan 23 0 0 2 2 4 4 6 6 R & growth factor (based on deaths) Germany-LK Lüchow-Dannenberg deaths daily growth factor Germany-LK Lüchow-Dannenberg deaths daily growth factor (rolling mean) Germany-LK Lüchow-Dannenberg 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 cases doubling time [days] Germany-LK Lüchow-Dannenberg doubling time cases (rolling mean) Germany-LK Lüchow-Dannenberg doubling time deaths (rolling mean) 0.0 96.9 193.9 290.8 daily change Germany-LK Lüchow-Dannenberg new cases (rolling 7d mean) Germany-LK Lüchow-Dannenberg new cases 0.000 0.969 1.939 2.908 daily change Germany-LK Lüchow-Dannenberg new deaths (rolling 7d mean) Germany-LK Lüchow-Dannenberg new deaths 0.00 6.74 13.49 deaths doubling time [days]
In [5]:
compare_plot(country="Germany", subregion="LK Lüchow-Dannenberg", dates="2020-03-15:");
2023-03-07T13:17:53.198114 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: LK Lüchow-Dannenberg LK Lüchow-Dannenberg 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 LK Lüchow-Dannenberg Bayern Berlin Bremen Hamburg Hessen Nordrhein-Westfalen Sachsen-Anhalt
In [6]:
# load the data
cases, deaths = germany_get_region(landkreis="LK Lüchow-Dannenberg")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="LK Lüchow-Dannenberg")
print(f'Population of country="Germany", subregion="LK Lüchow-Dannenberg": {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 Lüchow-Dannenberg": 48472 people
Out[6]:
total cases daily new cases total deaths daily new deaths
date
2023-03-06 21549 3 70 0
2023-03-03 21546 3 70 0
2023-03-02 21543 3 70 0
2023-03-01 21540 6 70 0
2023-02-28 21534 15 70 0
2023-02-27 21519 10 70 0
2023-02-24 21509 7 70 0
2023-02-23 21502 12 70 0
2023-02-22 21490 10 70 0
2023-02-21 21480 14 70 0
2023-02-20 21466 9 70 0
2023-02-17 21457 5 70 0
2023-02-16 21452 8 70 0
2023-02-15 21444 10 70 0
2023-02-14 21434 14 70 0
2023-02-13 21420 7 70 1
2023-02-10 21413 29 69 1
2023-02-09 21384 7 68 0
2023-02-08 21377 9 68 0
2023-02-06 21368 4 68 0
2023-02-03 21364 5 68 0
2023-02-02 21359 14 68 0
2023-02-01 21345 12 68 0
2023-01-31 21333 3 68 0
2023-01-30 21330 13 68 1
2023-01-27 21317 7 67 0
2023-01-26 21310 15 67 0
2023-01-25 21295 6 67 0
2023-01-24 21289 19 67 0
2023-01-23 21270 13 67 0
2023-01-20 21257 18 67 0
2023-01-19 21239 26 67 0
2023-01-18 21213 21 67 0
2023-01-17 21192 31 67 0
2023-01-16 21161 35 67 0
2023-01-13 21126 23 67 0
2023-01-12 21103 54 67 0
2023-01-11 21049 45 67 0
2023-01-10 21004 43 67 0
2023-01-09 20961 71 67 2
2023-01-06 20890 24 65 0
2023-01-05 20866 3 65 0
2023-01-04 20863 31 65 0
2023-01-03 20832 8 65 0
2023-01-02 20824 2 65 0
2022-12-30 20822 41 65 1
2022-12-29 20781 102 64 0
2022-12-28 20679 12 64 0
2022-12-27 20667 107 64 0
2022-12-23 20560 15 64 1
2022-12-22 20545 34 63 0
2022-12-21 20511 45 63 2
2022-12-20 20466 93 61 0
2022-12-19 20373 47 61 0
2022-12-16 20326 42 61 1
2022-12-15 20284 52 60 0
2022-12-14 20232 19 60 0
2022-12-13 20213 90 60 0
2022-12-12 20123 101 60 0
2022-12-09 20022 66 60 3
2022-12-08 19956 51 57 0
2022-12-07 19905 69 57 0
2022-12-06 19836 37 57 0
2022-12-05 19799 66 57 0
2022-12-02 19733 34 57 0
2022-12-01 19699 73 57 0
2022-11-30 19626 43 57 0
2022-11-29 19583 73 57 0
2022-11-28 19510 65 57 0
2022-11-25 19445 41 57 0
2022-11-24 19404 35 57 0
2022-11-23 19369 41 57 0
2022-11-22 19328 22 57 0
2022-11-21 19306 16 57 0
2022-11-18 19290 40 57 0
2022-11-17 19250 48 57 0
2022-11-16 19202 47 57 0
2022-11-15 19155 53 57 0
2022-11-14 19102 28 57 0
2022-11-11 19074 38 57 0
2022-11-10 19036 31 57 0
2022-11-09 19005 54 57 0
2022-11-08 18951 56 57 0
2022-11-07 18895 28 57 0
2022-11-04 18867 28 57 0
2022-11-03 18839 60 57 0
2022-11-02 18779 50 57 0
2022-11-01 18729 46 57 0
2022-10-28 18683 50 57 1
2022-10-27 18633 48 56 0
2022-10-26 18585 54 56 0
2022-10-25 18531 75 56 0
2022-10-24 18456 73 56 0
2022-10-21 18383 74 56 2
2022-10-20 18309 105 54 0
2022-10-19 18204 101 54 0
2022-10-18 18103 95 54 2
2022-10-17 18008 118 52 0
2022-10-14 17890 68 52 0
2022-10-13 17822 97 52 0
2022-10-12 17725 72 52 1
2022-10-11 17653 102 51 1
2022-10-10 17551 74 50 0
2022-10-07 17477 155 50 1
2022-10-06 17322 74 49 0
2022-10-05 17248 46 49 0
2022-10-04 17202 72 49 0
2022-09-30 17130 68 49 0
2022-09-29 17062 57 49 1
2022-09-28 17005 66 48 2
2022-09-27 16939 67 46 0
2022-09-26 16872 50 46 0
2022-09-23 16822 28 46 0
2022-09-22 16794 38 46 0
2022-09-21 16756 54 46 0
2022-09-20 16702 52 46 1
2022-09-19 16650 38 45 0
2022-09-16 16612 34 45 1
2022-09-15 16578 44 44 0
2022-09-14 16534 37 44 0
2022-09-13 16497 30 44 0
2022-09-12 16467 28 44 0
2022-09-09 16439 29 44 0
2022-09-08 16410 31 44 0
2022-09-07 16379 32 44 0
2022-09-06 16347 30 44 0
2022-09-05 16317 42 44 0
2022-09-02 16275 19 44 0
2022-09-01 16256 19 44 0
2022-08-31 16237 24 44 0
2022-08-30 16213 33 44 0
2022-08-29 16180 13 44 0
2022-08-26 16167 22 44 0
2022-08-25 16145 12 44 0
2022-08-24 16133 17 44 0
2022-08-23 16116 15 44 0
2022-08-22 16101 33 44 0
2022-08-19 16068 31 44 0
2022-08-18 16037 17 44 0
2022-08-17 16020 29 44 0
2022-08-16 15991 30 44 0
2022-08-15 15961 50 44 0
2022-08-12 15911 37 44 0
2022-08-11 15874 42 44 0
2022-08-10 15832 37 44 1
2022-08-09 15795 37 43 0
2022-08-08 15758 36 43 0
2022-08-05 15722 37 43 0
2022-08-04 15685 41 43 0
2022-08-03 15644 50 43 1
2022-08-02 15594 42 42 0
2022-08-01 15552 62 42 0
2022-07-29 15490 43 42 0
2022-07-28 15447 45 42 0
2022-07-27 15402 55 42 0
2022-07-26 15347 50 42 0
2022-07-25 15297 46 42 0
2022-07-22 15251 36 42 1
2022-07-21 15215 60 41 0
2022-07-20 15155 70 41 0
2022-07-19 15085 92 41 1
2022-07-18 14993 90 40 0
2022-07-15 14903 96 40 0
2022-07-14 14807 51 40 0
2022-07-13 14756 98 40 1
2022-07-12 14658 77 39 0
2022-07-11 14581 158 39 0
2022-07-08 14423 56 39 0
2022-07-07 14367 55 39 0
2022-07-06 14312 21 39 0
2022-07-05 14291 119 39 0
2022-07-04 14172 56 39 0
2022-07-01 14116 91 39 0
2022-06-30 14025 58 39 0
2022-06-29 13967 63 39 0
2022-06-28 13904 96 39 0
2022-06-27 13808 92 39 0
2022-06-24 13716 90 39 0
2022-06-23 13626 115 39 0
2022-06-22 13511 120 39 0
2022-06-21 13391 109 39 0
2022-06-20 13282 99 39 0
2022-06-17 13183 68 39 0
2022-06-16 13115 123 39 0
2022-06-15 12992 83 39 0
2022-06-14 12909 82 39 0
2022-06-13 12827 137 39 0
2022-06-10 12690 46 39 0
2022-06-09 12644 68 39 1
2022-06-08 12576 25 38 0
2022-06-07 12551 48 38 0
2022-06-03 12503 17 38 0
2022-06-02 12486 54 38 1
2022-06-01 12432 43 37 1
2022-05-31 12389 43 36 0
2022-05-30 12346 51 36 0
2022-05-27 12295 16 36 0
2022-05-25 12279 32 36 0
2022-05-24 12247 27 36 0
2022-05-23 12220 35 36 0
2022-05-20 12185 35 36 0
2022-05-19 12150 52 36 0
2022-05-18 12098 84 36 0
2022-05-17 12014 67 36 1
2022-05-16 11947 81 35 0
2022-05-13 11866 31 35 0
2022-05-12 11835 97 35 0
2022-05-11 11738 128 35 0
2022-05-10 11610 127 35 0
2022-05-09 11483 78 35 0
2022-05-06 11405 58 35 0
2022-05-05 11347 125 35 2
2022-05-04 11222 132 33 0
2022-05-03 11090 85 33 0
2022-05-02 11005 114 33 0
2022-04-29 10891 55 33 0
2022-04-28 10836 123 33 0
2022-04-27 10713 78 33 0
2022-04-26 10635 117 33 1
2022-04-25 10518 170 32 0
2022-04-22 10348 141 32 0
2022-04-21 10207 178 32 0
2022-04-20 10029 138 32 0
2022-04-19 9891 289 32 0
2022-04-14 9602 217 32 0
2022-04-13 9385 128 32 0
2022-04-12 9257 86 32 0
2022-04-11 9171 286 32 0
2022-04-08 8885 257 32 0
2022-04-07 8628 335 32 0
2022-04-06 8293 240 32 0
2022-04-05 8053 117 32 0
2022-04-04 7936 102 32 0
2022-04-01 7834 36 32 0
2022-03-31 7798 59 32 0
2022-03-30 7739 92 32 0
2022-03-29 7647 125 32 0
2022-03-28 7522 89 32 0
2022-03-25 7433 102 32 0
2022-03-24 7331 119 32 0
2022-03-23 7212 125 32 0
2022-03-22 7087 113 32 0
2022-03-21 6974 157 32 0
2022-03-18 6817 124 32 0
2022-03-17 6693 137 32 0
2022-03-16 6556 168 32 0
2022-03-15 6388 179 32 1
2022-03-14 6209 78 31 0
2022-03-12 6131 48 31 0
2022-03-11 6083 28 31 0
2022-03-10 6055 73 31 0
2022-03-09 5982 115 31 0
2022-03-08 5867 176 31 0
2022-03-07 5691 212 31 1
2022-03-06 5479 1 30 0
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2022-02-10 3306 86 30 0
2022-02-09 3220 106 30 0
2022-02-08 3114 86 30 0
2022-02-07 3028 48 30 0
2022-02-05 2980 40 30 0
2022-02-04 2940 74 30 0
2022-02-03 2866 67 30 0
2022-02-02 2799 74 30 0
2022-02-01 2725 44 30 0
2022-01-31 2681 59 30 0
2022-01-29 2622 40 30 0
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2022-01-26 2454 50 30 0
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2022-01-22 2303 22 30 0
2022-01-21 2281 41 30 0
2022-01-20 2240 54 30 0
2022-01-19 2186 47 30 0
2022-01-18 2139 26 30 1
2022-01-17 2113 20 29 0
2022-01-15 2093 32 29 0
2022-01-14 2061 45 29 0
2022-01-13 2016 1 29 0
2022-01-12 2015 36 29 0
2022-01-11 1979 22 29 0
2022-01-10 1957 16 29 0
2022-01-08 1941 26 29 0
2022-01-07 1915 23 29 0
2022-01-06 1892 23 29 0
2022-01-05 1869 41 29 0
2022-01-04 1828 27 29 0
2022-01-03 1801 8 29 0
2021-12-31 1793 8 29 0
2021-12-30 1785 12 29 0
2021-12-29 1773 14 29 0
2021-12-28 1759 28 29 0
2021-12-27 1731 6 29 1
2021-12-24 1725 4 28 0
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2021-12-22 1710 29 28 0
2021-12-21 1681 12 28 0
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2021-11-27 1410 10 28 0
2021-11-26 1400 13 28 0
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2021-11-24 1370 19 28 1
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2021-11-22 1325 12 27 0
2021-11-20 1313 13 27 0
2021-11-19 1300 17 27 0
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2021-11-16 1240 13 27 0
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2021-11-13 1225 14 27 0
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2021-09-13 1016 4 26 1
2021-09-11 1012 3 25 0
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2021-09-07 988 8 25 0
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2021-09-03 974 5 25 0
2021-09-02 969 10 25 0
2021-09-01 959 7 25 0
2021-08-31 952 7 25 0
2021-08-30 945 1 25 0
2021-08-29 944 2 25 0
2021-08-28 942 7 25 0
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2021-04-26 678 1 25 0
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2021-04-23 670 3 25 0
2021-04-22 667 5 25 0
2021-04-21 662 6 25 0
2021-04-20 656 4 25 0
2021-04-17 652 9 25 0
2021-04-15 643 3 25 0
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2021-04-13 634 12 25 1
2021-04-11 622 1 24 0
2021-04-10 621 4 24 0
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2021-04-07 602 14 24 0
2021-04-03 588 2 24 0
2021-04-02 586 3 24 1
2021-04-01 583 5 23 0
2021-03-31 578 9 23 0
2021-03-30 569 1 23 0
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2021-03-27 567 6 23 0
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2021-03-25 556 6 23 1
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2021-03-23 544 3 21 0
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2021-03-19 534 6 21 0
2021-03-18 528 2 21 0
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2021-03-16 524 3 21 0
2021-03-13 521 4 21 0
2021-03-12 517 1 21 0
2021-03-10 516 2 21 0
2021-03-09 514 2 21 0
2021-03-05 512 2 21 0
2021-03-04 510 2 21 0
2021-03-03 508 1 21 0
2021-03-02 507 1 21 0
2021-02-27 506 1 21 0
2021-02-26 505 1 21 0
2021-02-25 504 1 21 0
2021-02-24 503 2 21 0
2021-02-23 501 2 21 0
2021-02-20 499 3 21 0
2021-02-19 496 1 21 0
2021-02-18 495 3 21 0
2021-02-17 492 6 21 1
2021-02-16 486 3 20 0
2021-02-12 483 2 20 1
2021-02-11 481 3 19 0
2021-02-10 478 1 19 0
2021-02-09 477 4 19 0
2021-02-07 473 1 19 0
2021-02-06 472 3 19 0
2021-02-05 469 6 19 0
2021-02-04 463 2 19 0
2021-02-03 461 3 19 0
2021-02-02 458 1 19 0
2021-01-30 457 5 19 1
2021-01-29 452 2 18 0
2021-01-28 450 2 18 0
2021-01-27 448 6 18 0
2021-01-26 442 1 18 0
2021-01-23 441 3 18 0
2021-01-22 438 1 18 0
2021-01-21 437 6 18 0
2021-01-20 431 5 18 0
2021-01-19 426 6 18 0
2021-01-16 420 2 18 1
2021-01-15 418 2 17 0
2021-01-14 416 11 17 1
2021-01-13 405 11 16 0
2021-01-12 394 5 16 1
2021-01-09 389 2 15 0
2021-01-08 387 7 15 0
2021-01-07 380 8 15 0
2021-01-06 372 12 15 0
2021-01-05 360 6 15 0
2021-01-04 354 4 15 0
2021-01-03 350 6 15 0
2021-01-02 344 1 15 0
2020-12-31 343 12 15 1
2020-12-30 331 5 14 3
2020-12-29 326 19 11 0
2020-12-27 307 1 11 0
2020-12-25 306 5 11 0
2020-12-24 301 1 11 0
2020-12-23 300 20 11 1
2020-12-22 280 11 10 0
2020-12-19 269 6 10 0
2020-12-18 263 7 10 0
2020-12-17 256 1 10 0
2020-12-16 255 17 10 0
2020-12-15 238 7 10 0
2020-12-14 231 1 10 1
2020-12-13 230 1 9 1
2020-12-12 229 10 8 0
2020-12-11 219 1 8 0
2020-12-10 218 11 8 1
2020-12-09 207 2 7 0
2020-12-08 205 3 7 0
2020-12-01 202 4 7 1
2020-11-28 198 4 6 0
2020-11-27 194 2 6 0
2020-11-26 192 7 6 0
2020-11-25 185 4 6 0
2020-11-24 181 9 6 0
2020-11-22 172 1 6 1
2020-11-20 171 3 5 0
2020-11-19 168 2 5 0
2020-11-18 166 4 5 0
2020-11-17 162 8 5 0
2020-11-15 154 1 5 0
2020-11-14 153 9 5 0
2020-11-13 144 1 5 0
2020-11-12 143 2 5 0
2020-11-11 141 1 5 0
2020-11-10 140 1 5 0
2020-11-09 139 2 5 0
2020-11-08 137 2 5 0
2020-11-07 135 3 5 0
2020-11-06 132 3 5 0
2020-11-05 129 6 5 0
2020-11-04 123 2 5 0
2020-11-03 121 2 5 0
2020-11-02 119 7 5 0
2020-11-01 112 2 5 0
2020-10-31 110 4 5 0
2020-10-30 106 17 5 1
2020-10-29 89 4 4 1
2020-10-28 85 5 3 0
2020-10-27 80 4 3 0
2020-10-26 76 1 3 0
2020-10-25 75 5 3 0
2020-10-24 70 2 3 0
2020-10-23 68 6 3 0
2020-10-22 62 5 3 0
2020-10-20 57 3 3 0
2020-10-19 54 6 3 0
2020-10-12 48 1 3 0
2020-10-08 47 1 3 0
2020-09-25 46 1 3 0
2020-09-20 45 1 3 0
2020-09-17 44 1 3 0
2020-09-15 43 1 3 0
2020-09-09 42 1 3 0
2020-09-06 41 1 3 0
2020-09-01 40 2 3 0
2020-08-28 38 1 3 0
2020-08-26 37 2 3 0
2020-08-25 35 1 3 0
2020-08-20 34 8 3 0
2020-08-18 26 1 3 0
2020-08-17 25 1 3 0
2020-07-31 24 1 3 0
2020-07-29 23 1 3 0
2020-07-11 22 1 3 0
2020-06-14 21 1 3 0
2020-06-12 20 1 3 0
2020-05-14 19 1 3 0
2020-04-29 18 1 3 1
2020-04-22 17 1 2 0
2020-04-21 16 1 2 0
2020-04-15 15 1 2 0
2020-04-06 14 1 2 1
2020-04-04 13 1 1 0
2020-04-03 12 1 1 0
2020-04-02 11 1 1 1
2020-04-01 10 1 0 0
2020-03-27 9 2 0 0
2020-03-25 7 1 0 0
2020-03-20 6 5 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: 0:02:47.818512