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CSSEGISandData / COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
https://systems.jhu.edu/research/public-health/ncov/
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Transparent & consistent data pipeline #740

Closed yy closed 4 years ago

yy commented 4 years ago

Hi, because there are too many inconsistency issues in the dataset, as an alternative, I'm creating a more transparent data workflow here: https://github.com/yy/covid19-data The goal is creating a highly transparent and automated workflow that can ingest multiple data streams.

Right now, it's pulling the data from Our World in Data website, which is essentially a cleaned version of WHO daily reports and merging with metadata from Worldbank (for producing this visualization: http://yyahn.com/covid19/).

I've also created a pipeline for converting between country names and ISO 3166 Alpha-3 codes.

If you're frustrated with this dataset, please feel free to join https://github.com/yy/covid19-data and help us!

Bost commented 4 years ago

I've got only one thing: could you make it https? Thanks Edit: I meant the http://yyahn.com/covid19/ . And also I have modern and rather large monitor but the Play button gets invisible quite "quickly" whereas there seems to be enough space left sideways.

Screenshot from 2020-03-14 23-20-58

JiPiBi commented 4 years ago

Great work!

I dont see the interest of the inner circles : confirmed cases and deaths as they are all of the same small size and so dont give comparative information

yy commented 4 years ago

Thanks for the comments about the visualization. But my primary goal is making the data pipeline automatic, accurate, and transparent! I've created an organization and move the repository to: https://github.com/covid19-data/covid19-data