loading...
Cover image for COVID-19 stats I wanted to see, and unanswered questions

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

patarapolw profile image Pacharapol Withayasakpunt ・1 min read

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?

Discussion

pic
Editor guide
Collapse
zoedreams profile image
☮️✝️☪️🕉☸️✡️☯️

yes && github.com/GitbookIO/gitbook && init.d >> .zsh_script && plotly.com/nodejs/

dont forget to calculate your standard deviation, which is next to impossible with tracking COVID, so with that in mind, grab a dart board and throw darts at it. We need to collect alot more data points, like travel, social media activiy, etc..

Collapse
pentacular profile image
pentacular

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