Germany: SK Bochum (Nordrhein-Westfalen)

• Homepage of project: https://oscovida.github.io
• Plots are explained at http://oscovida.github.io/plots.html
• Execute this Jupyter Notebook using myBinder

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 14:17:42 CEST

%config InlineBackend.figure_formats = ['svg']
from oscovida import *

overview(country="Germany", subregion="SK Bochum", weeks=5);

overview(country="Germany", subregion="SK Bochum");

compare_plot(country="Germany", subregion="SK Bochum", dates="2020-03-15:");

# load the data
cases, deaths = germany_get_region(landkreis="SK Bochum")

# get population of the region for future normalisation:
inhabitants = population(country="Germany", subregion="SK Bochum")
print(f'Population of country="Germany", subregion="SK Bochum": {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 Bochum": 363441 people

	total cases	daily new cases	total deaths	daily new deaths
date
2023-03-06	145639	59	576	0
2023-03-03	145580	36	576	0
2023-03-02	145544	42	576	1
2023-03-01	145502	122	575	0
2023-02-28	145380	103	575	0
2023-02-27	145277	185	575	3
2023-02-26	145092	5	572	0
2023-02-25	145087	24	572	0
2023-02-24	145063	123	572	0
2023-02-23	144940	132	572	0
2023-02-22	144808	137	572	0
2023-02-21	144671	231	572	0
2023-02-20	144440	98	572	0
2023-02-19	144342	1	572	0
2023-02-17	144341	116	572	0
2023-02-16	144225	100	572	0
2023-02-15	144125	229	572	0
2023-02-14	143896	155	572	0
2023-02-13	143741	165	572	0
2023-02-10	143576	109	572	0
2023-02-09	143467	83	572	0
2023-02-08	143384	114	572	0
2023-02-07	143270	151	572	1
2023-02-06	143119	134	571	1
2023-02-03	142985	90	570	2
2023-02-02	142895	96	568	0
2023-02-01	142799	130	568	1
2023-01-31	142669	163	567	1
2023-01-30	142506	131	566	3
2023-01-27	142375	67	563	0
2023-01-26	142308	90	563	1
2023-01-25	142218	102	562	0
2023-01-24	142116	98	562	0
2023-01-23	142018	152	562	2
2023-01-21	141866	1	560	0
2023-01-20	141865	47	560	0
2023-01-19	141818	56	560	1
2023-01-18	141762	66	559	1
2023-01-17	141696	72	558	0
2023-01-16	141624	111	558	1
2023-01-13	141513	52	557	2
2023-01-12	141461	67	555	0
2023-01-11	141394	69	555	0
2023-01-10	141325	90	555	0
2023-01-09	141235	197	555	3
2023-01-06	141038	103	552	2
2023-01-05	140935	135	550	0
2023-01-04	140800	173	550	1
2023-01-03	140627	239	549	2
2023-01-02	140388	252	547	2
2022-12-30	140136	191	545	2
2022-12-29	139945	144	543	0
2022-12-28	139801	338	543	3
2022-12-27	139463	400	540	2
2022-12-23	139063	317	538	0
2022-12-22	138746	440	538	0
2022-12-21	138306	376	538	4
2022-12-20	137930	251	534	1
2022-12-19	137679	182	533	1
2022-12-18	137497	3	532	0
2022-12-17	137494	4	532	0
2022-12-16	137490	47	532	2
2022-12-15	137443	364	530	3
2022-12-14	137079	172	527	0
2022-12-13	136907	364	527	0
2022-12-12	136543	286	527	1
2022-12-09	136257	194	526	4
2022-12-08	136063	163	522	0
2022-12-07	135900	197	522	1
2022-12-06	135703	238	521	1
2022-12-05	135465	242	520	3
2022-12-02	135223	159	517	1
2022-12-01	135064	186	516	0
2022-11-30	134878	232	516	2
2022-11-29	134646	305	514	0
2022-11-28	134341	210	514	3
2022-11-25	134131	112	511	2
2022-11-24	134019	156	509	1
2022-11-23	133863	269	508	0
2022-11-22	133594	266	508	1
2022-11-21	133328	174	507	0
2022-11-18	133154	145	507	0
2022-11-17	133009	190	507	0
2022-11-16	132819	206	507	0
2022-11-15	132613	252	507	0
2022-11-14	132361	251	507	1
2022-11-11	132110	169	506	0
2022-11-10	131941	162	506	0
2022-11-09	131779	223	506	0
2022-11-08	131556	232	506	0
2022-11-07	131324	282	506	2
2022-11-04	131042	256	504	1
2022-11-03	130786	459	503	0
2022-11-02	130327	323	503	2
2022-10-31	130004	350	501	1
2022-10-28	129654	236	500	1
2022-10-27	129418	342	499	0
2022-10-26	129076	472	499	0
2022-10-25	128604	427	499	2
2022-10-24	128177	378	497	1
2022-10-22	127799	1	496	0
2022-10-21	127798	317	496	1
2022-10-20	127481	532	495	2
2022-10-19	126949	773	493	0
2022-10-18	126176	757	493	3
2022-10-17	125419	503	490	3
2022-10-14	124916	566	487	3
2022-10-13	124350	407	484	0
2022-10-12	123943	558	484	1
2022-10-11	123385	467	483	2
2022-10-10	122918	428	481	5
2022-10-07	122490	281	476	0
2022-10-06	122209	279	476	3
2022-10-05	121930	419	473	3
2022-10-04	121511	341	470	4
2022-09-30	121170	233	466	1
2022-09-29	120937	274	465	0
2022-09-28	120663	357	465	0
2022-09-27	120306	337	465	1
2022-09-26	119969	260	464	0
2022-09-23	119709	213	464	0
2022-09-22	119496	159	464	0
2022-09-21	119337	202	464	1
2022-09-20	119135	180	463	0
2022-09-19	118955	196	463	0
2022-09-16	118759	134	463	0
2022-09-15	118625	149	463	-1
2022-09-14	118476	152	464	2
2022-09-13	118324	221	462	0
2022-09-12	118103	237	462	1
2022-09-09	117866	138	461	0
2022-09-08	117728	152	461	0
2022-09-07	117576	205	461	0
2022-09-06	117371	272	461	0
2022-09-05	117099	252	461	0
2022-09-03	116847	1	461	0
2022-09-02	116846	154	461	0
2022-09-01	116692	193	461	0
2022-08-31	116499	226	461	0
2022-08-30	116273	298	461	0
2022-08-29	115975	361	461	1
2022-08-26	115614	250	460	0
2022-08-25	115364	280	460	0
2022-08-24	115084	276	460	1
2022-08-23	114808	394	459	0
2022-08-22	114414	367	459	3
2022-08-20	114047	1	456	0
2022-08-19	114046	172	456	1
2022-08-18	113874	293	455	1
2022-08-17	113581	254	454	0
2022-08-16	113327	354	454	1
2022-08-15	112973	326	453	1
2022-08-13	112647	1	452	0
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2022-08-10	112062	279	452	0
2022-08-09	111783	251	452	3
2022-08-08	111532	425	449	1
2022-08-07	111107	15	448	0
2022-08-05	111092	469	448	0
2022-08-04	110623	361	448	0
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2022-07-26	108212	322	445	2
2022-07-25	107890	248	443	1
2022-07-24	107642	10	442	0
2022-07-22	107632	352	442	0
2022-07-21	107280	815	442	0
2022-07-20	106465	690	442	1
2022-07-19	105775	569	441	1
2022-07-18	105206	339	440	3
2022-07-16	104867	1	437	0
2022-07-15	104866	387	437	0
2022-07-14	104479	438	437	1
2022-07-13	104041	573	436	0
2022-07-12	103468	322	436	1
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2020-04-01	211	6	11	0
2020-03-31	205	11	11	0
2020-03-30	194	3	11	0
2020-03-29	191	11	11	1
2020-03-27	180	14	10	0
2020-03-26	166	16	10	0
2020-03-25	150	13	10	5
2020-03-24	137	14	5	2
2020-03-23	123	12	3	0
2020-03-22	111	18	3	1
2020-03-21	93	26	2	1
2020-03-20	67	17	1	1
2020-03-19	50	17	0	0
2020-03-18	33	4	0	0
2020-03-17	29	6	0	0
2020-03-16	23	4	0	0
2020-03-13	19	5	0	0
2020-03-12	14	5	0	0
2020-03-11	9	4	0	0
2020-03-10	5	2	0	0
2020-03-09	3	1	0	0
2020-03-06	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)

---

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.

# to force a fresh download of data, run "clear_cache()"

print(f"Notebook execution took: {datetime.datetime.now()-start}")

Notebook execution took: 0:03:39.223793