fordprefect 48889af5b1 automated file archiving to git

2021-08-03 21:14:13 +02:00

.gitignore

new way to integrate vacciation data into website: have separate head and foot file and regenerate index every day

2020-12-29 18:46:30 +01:00

all_countries.py

remove ax limit for turkey

2021-04-23 14:39:44 +02:00

basics.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

coronavis.py

automated file archiving to git

2021-08-03 21:14:13 +02:00

country_details.py

vaccination state corrected (first vs second dose), small cleanup

2021-02-17 13:50:18 +01:00

death_per_case.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

delay_from_china.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

delay_from_usa.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

doubling_time.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

favicon.ico

more topical favicon

2020-03-20 12:26:05 +01:00

index.html.foot

continental plots are discontinued

2021-04-28 10:15:47 +02:00

index.html.head

add reference to Impfdashboard

2021-02-10 10:19:19 +01:00

normalized_to_first_death.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

normalized_to_ten_cases.py

move plots to own directory, catch all provided data

2020-12-21 12:04:37 +01:00

percent_increase.py

add metadata from new columns and make every module fit to use this. add stringence of local measures as background of plot, add vaccination status to plots, mute unreasonable warnings

2020-12-17 13:18:19 +01:00

population_repository.py

updated populations

2020-12-16 10:09:32 +01:00

style.css

various changes: fix lower axis value for all_countries, add population for each country from WikiData, fix data_getter for changed data format (added columns)

2020-07-07 13:04:39 +02:00

S

Description

CoViD19 plots autogenerated via cronjob every night

https://dukun.de/corona

117 KiB

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Python 99.3%

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