Comments (4)
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...
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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
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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...
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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!
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Related Issues (20)
- Is there a detailed description of the raw RKI_COVID19.csv -- AnzahlFall 131 ? HOT 6
- Feature Request: Single CSV-File with current state HOT 28
- auto update fails as of arcgis system downtime HOT 2
- change heatmap scale to be absolute
- Discrepancy to RKI data of yesterday while today is accurate. HOT 7
- Time Shift in Gehrcke VS RiskLayer HOT 4
- Discrepancy in Deaths - Gehrcke vs. Risklayer HOT 5
- RKI data update: currently broken because of AGS 9178/9179 history damage in Covid19_RKI_Sums ArcGIS feature server HOT 1
- Potential error in calculation of daily deaths HOT 4
- cases-rki-by-ags.csv - implausible data for entity 8126 - Hohenlohekreis HOT 9
- RKI data: death rate seems to be bogus; dropping towards 0 HOT 1
- DEU variants HOT 2
- Risklayer Deutschland Zahlen
- No RKI updates since 4 days ... (Landkreis 16056 disappeared from RKI data set) HOT 16
- generate-latest-aggregate.py: KeyError: '16056' HOT 1
- Keine Updates mehr? Schade. HOT 3
- Double-check population count of Landkreis 16063
- Update Fehler HOT 6
- Data updates keep overwriting the newest line instead of appending HOT 2
- No updates since 27.01.2023 HOT 3
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