JZ
JZ
(and thanks again for the great project :-P )
Still an issue, just installed via pip today. Using datetime objects as suggested.
Thanks @pwrose, this is great, especially as the situation in Mexico gets worse. The actual links for download are, e.g for Aug 9: https://coronavirus.gob.mx/datos/Downloads/Files/Casos_Diarios_Municipio_Confirmados_20200809.csv https://coronavirus.gob.mx/datos/Downloads/Files/Casos_Diarios_Municipio_Defunciones_20200809.csv To be safe we could...
Actually I think the links under "Casos diarios por Estado + Nacional" are better. I'm not sure what the municipio data is, it doesn't total up nearly to what is...
Hi @pwrose - in https://github.com/covidatlas/li/pull/563 I added a source for Mexico Estado/Nacional, which maps clearly to our data model. We don't currently have a clear model for finer-grained data than...
Well that's total garbage. Thanks @kengo-sony for the issue! A request: if you're using `timeseries-byLocation.json`, in the future when reporting data issues, please also include the `dateSources` section of the...
Correction, it was actually `"2020-03-21..2020-07-31": "us-ca-mercury-news"`.
Should be fixed in #366. I'll launch it to prod and the data should be regenerated in at most a few days.
Thanks again @kengo-sony ! jz
Yep I don't know why some are coded that way, it's incorrect. Thanks for catching it.