Comments (6)
It's no problem! I can change the link. But before I do that, do you know why the map is missing a lot of countries? We have a lot more data than what you are currently displaying.
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Maybe it's because I showed it on a daily basis.
The purpose of my work is to show the scale of new confirmed cases per day.
So if a country (region) doesn't have a new confirmed person, that country (region) doesn't appear on the map.
I use the data https://open-covid-19.github.io/data/v2/master.csv and as of now, the last date is June 19, 2020.
Only 14 countries had new confirmed cases that day.
The data of the last date does not seemr to be complete. So it always looks insufficient.
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I've updated the link to the new map.
Using the latest date is not always a good idea, because the Asia-Pacific region it's always one day ahead in the reporting. Part of the problem is also that master.csv has not been updated in a few days because we are over the maximum storage allowed by GitHub. We are migrating storage to a cloud provider very soon. In the meantime, have you considered doing the following:
- Use https://open-covid-19.github.io/data/v2/latest/master.csv
- Look for the latest date
${latest_date}
- Filter out all records that have
date < latest_date - 1
That way you'll get the last known values for every country, and only keeping the countries which have reported something within the last day.
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I revised the code after referring to your advice.
I think it's better than before.
Thank you.
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Great!!
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Hi @quixote79 I wanted to let you know that the location of files has been changed. Unfortunately we can no longer update the files in the v2 path because several of them go over GitHub's limits. For the most up-to-date data, please use https://storage.googleapis.com/covid19-open-data/v2/latest/main.csv
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Related Issues (20)
- Tests for pipelines? HOT 3
- Omitted region in Polish data HOT 3
- Latest-data includes all data HOT 2
- 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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