These all have different numbers:
https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_t...
These all have different numbers:
https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_t...
https://www.who.int/emergencies/diseases/novel-coronavirus-2...
The same data is also presented graphically here:
https://www.who.int/redirect-pages/page/novel-coronavirus-(c...
Initially I tried using WHO and JHU, but quickly found their data to be riddled with discrepancies, occasional bugs, and direct contradictions with official statements from various countries.
I ended up aggregating multiple sources (including WHO/JHU/etc), performing some sanity checks to remove outliers, then doing my best to merge the remaining results.
Happy to share this data publicly if there's interest!
How often are you updating the data? If there's manual deconfliction, do you clearly indicate how old data for a country or state/province is, or how accurate the reporting is that your massaged summary comes from?
If you're meaning to put this out in the world as a source of information please get some feedback first from people that do this sort of thing for a living. Inaccuracy or excitable language can do more harm than good in emergencies.
Regarding the data, it's updated and processed automatically every 10 minutes.
I really appreciate the feedback! Let me know if anything else stands out to you.
If you show infection, death and recovery rates, you have to provide context and help people understand what a thing means.
1-10 scales can make parsing difficult (3 and 4 have the same description right now, for example). Governments, militaries and emergency aid orgs put a lot of effort into color and coding systems.
Give Peter Sandman a Google, and check out his site here:
He's an expert in how to talk about scary, hard-to-visualize things (like a viral pandemic).
Also, how old is the data being drawn from, what algorithm do you use to de-conflict the sources, and how do you disclose this to your audience (other than the general about page)? If a source has different refresh rates for countries that it tracks, how are you reflecting that to your audience?
A note, China is missing from your nifty "First 20 days" graph, which maybe you should just call "First 20 days after 200 cases" or something like this to make it clearer what's being tracked.
I've seen some efforts such as: https://github.com/covid19-data/covid19-data which is looking to separate out the data aggregation from the dashboard. However, they are scrubbing out the state-based information which I rely on.
They update it many times a day.