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trekhleb / covid-19

📈 Coronavirus (COVID-19) dashboard to show the dynamics of Сoronavirus distribution per country
https://trekhleb.dev/covid-19/
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Per capita, for each metric #23

Open dhLubv7 opened 4 years ago

dhLubv7 commented 4 years ago

Firstly, great work, thanks. I would be interested in seeing correlations. The user could select two attributes such as total cases and population density. This dataset here looks interesting for metainformation about countries. -> https://www.kaggle.com/sudalairajkumar/undata-country-profiles Cheers Milan

trekhleb commented 4 years ago

Good suggestion @milan-wittpohl .

Linking the similar issue here to have them connected: https://github.com/trekhleb/covid-19/issues/19

According to the comment from Thomas Soos here:

There's one thing I always think about seeing these numbers which is the percentage of cases according to the population of the countries. Because let's say 80.000 cases in China is very different from 80.000 cases in Italy, whose population is much, much less. So in my opinion, it would be a nice addition to see the percentages in the Bootstrap Table in a new column.

kometen commented 4 years ago

Nice. Wrote a comment on #19 but saw you closed it. As example Denmark (13,2) and Sweden (16,0) have almost same death per million. Denmark have stricter restrictions.

Inhabitants per km2, Denmark (136 per. km2) is much smaller than Sweden (23 per km2). And dense areas (cities) tend to become an epicenter.

trekhleb commented 4 years ago

Also as per @kylegrover (copying the text here to close the duplicate issue https://github.com/trekhleb/covid-19/issues/31):

Since we're comparing countries of vastly different sizes, per capita figures can be much more informative. By pulling the population data from the UN or elsewhere we could provide:

  • confirmed per capita per country
  • recovered per capita per country
  • deaths per capita per country
  • and perhaps active cases per capita per country