Expose timeseries endpoint for aggregated count (all of Germany)

[jgehrcke]

No description provided.

[JonasHeidelberg]

That would be great!

It seems if someone had preserved the RKI data from https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.csv for each day we could show both the time series and the reporting delay.

I just added it to the WayBack machine ( https://web.archive.org/web/20200403210349/https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.csv ) but of course that doesn't help us for looking back...

[jgehrcke]

It seems if someone had preserved the RKI data

@JonasHeidelberg unless I misunderstand your demand I am exposing these time series here:

Cumulative case / death count, by Bundesland:

• https://github.com/jgehrcke/covid-19-germany-gae/blob/master/cases-rki-by-state.csv
• https://github.com/jgehrcke/covid-19-germany-gae/blob/master/deaths-rki-by-state.csv

Cumulative case / death count, by Landkreis:

• https://github.com/jgehrcke/covid-19-germany-gae/blob/master/cases-rki-by-ags.csv
• https://github.com/jgehrcke/covid-19-germany-gae/blob/master/deaths-rki-by-ags.csv

[JonasHeidelberg]

Oh yes, those links do help, I just didn't realize yesterday :-). What I was looking for is not purely the data in master though - I want the daily history of that file, which I can get by walking through your daily git commits. This allows me to understand how the RKI statement about "people whose infections became known on March 23rd" (or any other date) changed over time. I am still amazed, how late some cases turn up in the official RKI stats...

[jgehrcke]

This allows me to understand how the RKI statement about "people whose infections became known on March 23rd" (or any other date) changed over time

Ha, funny, another time series dimension of interest, indeed!