MrAlexey

abillionveg | https://www.abillionveg.com | Engineers & Designers | Full-time | Singapore | ONSITE

abillionveg is a rapidly growing global review and discovery platform, and at the heart of our values, is the drive to ripple positive impact. We empower people by working to create seamless consumer experiences that match their sustainability journey. We support businesses by streamlining consumer data to inform market needs. We drive change by making it easy to be vegan. Since our app’s debut in 2018 we’ve reached 120+ countries.

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Hi HN, I spent the last few weeks aggregating and playing with covid data. This is a compilation of my favorite data visualizations, along with multiple customization options for each chart. Happy to hear any feedback, suggestions for existing charts, as well as ideas for new charts!

Unfortunately the existing public data sets I've seen lack this information. The level of detail for each confirmed case is largely dependent on which country is reporting the data (plus it's often in an unstructured and inconsistent format). I would love to know if you find any data source with more details.

You make a very good point about risk communication. I already had to make a few updates (e.g. hiding the mortality rate) that were causing unnecessary panic. I'll work on optimizing the existing language as well.

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.

I recently had to deal with this problem when building out Covidly (www.covidly.com)

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!

For a site focused on "clarity", I sure didn't make the formula very clear :) I will work on clarifying it on the website.

The formula is a combination of: 40% - new cases / total cases (indicator of how much things are blowing up) 40% - absolute number of new cases (indicator for whether things are slowing down or not) 20% - recovered cases / total cases (indicator for recovery progress, although not all countries seem to post their recovery data)

The formula itself is somewhat arbitrary, but I felt it was a decently good metric that summarized the situation in every country. I'm open to suggestions on how to improve it as well!

Great question - I have heard both of the options you mentioned as possible explanations for the decline of new cases.

Personally I like to give countries the benefit of the doubt. As difficult as it sounds to quarantine and stop the spread of a virus in a country with 1+ billion people and multiple 10M+ cities, China is one of the few countries that could actually pull it off.

At the end of the day, the option you pick probably depends on whether or not you trust the numbers provided :)

Very good point - the attribution has been added. Thanks!