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Incorporate new Landkreis-based data sources #43
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for the country-wide case count this was done in #45 /now reflects that count already |
--> The crowd-sourced spreadsheet and ZEIT ONLINE both report ~33.400 cases at this current time (~19:15 local time). That's quite promising. I assume that both teams take the same approach, don't copy from each other, and arrive at roughly the same number. If that's true then that's good news. |
Hi Jan-Philip, Kind regards, _Hi Lisa, I do not know how often they update the data or how frequently you will be allowed to query their server for this information, nor how they get the data from RKI anyway. Maybe you could also inquire with RKI directly to get the data somewhere. Kind regards, |
Thank you @stefan123t for the message! Please keep an eye on this repo. My plan certainly is to compare history across data sources with fine-grained spatial resolution. |
Also confer #58 |
We have been working on a project for providing county ("Landkreis") data since the #WirVsVirus hackathon. I'm only the frontend guy, but you can find links to the other repositories on the entry page here. |
Dear Niklas, cases and cases per 100k https://river.datawrapper.de/#popup/ASPdN https://river.datawrapper.de/#popup/0AEpL deaths and death rate https://river.datawrapper.de/#popup/YeEOY https://river.datawrapper.de/#popup/lytZ4 |
Discussion can of course continue, but I close this issue because the underlying task tracked here is done. Feel free to consume:
The same for deaths: |
ZEIT ONLINE have updated their data flow. They now pull data from individual Landkreise. Great!
Edit: @coezbek made us aware of a nice crowdsourcing effort coordinated in a gsheet linked here: case numbers for Germany are diverging further from official numbers CSSEGISandData/COVID-19#1008 (comment)
Edit: risklayer uses a crowd-sourcing approach and curates LK-based data in a gsheet
Those data sources are relatively early in the Meldekette, and probably quite credible. Will elaborate in the comments.
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