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Pacharapol Withayasakpunt
Pacharapol Withayasakpunt

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COVID-19 stats I wanted to see, and unanswered questions

The most obvious thing I always see in the news is, why report daily confirmed and daily deaths? What about normalization for population, demographics, and geospatial effects (and other factors)?

So, I managed to find my own answer, and US and India aren't necessarily number one and number two...

https://rpubs.com/patarapolw/covid19

covid top ranks

It seems that Peru and Brazil aren't doing well. US isn't that good -- it is within 10th ranking.

However, in this dataset, there are many other collected columns, such as test counts, number of beds, and population densities. So, how do I analyze?

Lastly, I have problems related to R language itself,

  • Can I use Jupyter Notebook? -> R-Python-Julia-JavaScript interop
  • How do I create GitBook, or something VuePress-like?
  • How can my website update every day?
  • How can graphs' interactivity be better?

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Top comments (1)

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pentacular profile image
pentacular

The only important values are which exponential curves you're on.

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