Comments (5)
I didn't know about a lot of these, I'll see if I can integrate them into the dataset. I'm not sure about how to make use of the US county-level data (that would be 3 levels!) but that data appears to be of much higher quality than I was told.
from data.
Thanks for sharing!
from data.
@quixote79 I just wanted to let you know that I have integrated several sources of regional data thanks to this list that you provided.
Also, it looks like your visualization could be improved if instead of using the data.csv file you used the data_latest.csv one (or the JSON version if you prefer that), since you are only displaying the latest date anyway. That way, when some data is not updated for a few days (because a source is unreliable, or some other technical issue -- for example regional data for France) you will at least get the last known value and your visualization will still display that data.
from data.
Thank you for your hard work.
Thanks to your work, my visualization has also improved a lot.
Points flash on my map because they are not displaying Total Confirmed, but rather Daily New Confirmed.
from data.
I understand. In that case, if you want to display the latest confirmed, you will have missing data for some countries that have not reported in the last 48 hours.
from data.
Related Issues (20)
- Tests for pipelines? HOT 3
- Omitted region in Polish data HOT 3
- Latest-data includes all data HOT 2
- I have changed the site address. HOT 6
- Is the data considered to be transactional? HOT 5
- 404 for https://open-covid-19.github.io/data/data.json HOT 1
- Machine-readable schema HOT 2
- @jmullo consider switching to the new file URL paths HOT 1
- @OmarJay1 consider switching to the new file URL paths HOT 2
- Columbia epidemiology data has bad date values. HOT 3
- Switzerland has incorrect epidemiological data. HOT 2
- Metadata Update HOT 1
- Missing state/province information for India HOT 1
- Missing subnational data on the confirmed cases for France HOT 2
- Bad data quality South America HOT 5
- Using your data for my website – thanks! HOT 2
- new epidemiology csv and old data.csv files both only showing philippines data HOT 2
- Too few countries have country-wide recovered counts
- Latest-Data almost empty HOT 11
- Keys in data tables don't match the csv/json file content HOT 6
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from data.