1/4 There's a lot of data & analyses out there. However, for some people, such info is still not easily reachable. Based on that, data visualization can help even non-experts to have an idea of what's going on. Look at the animated plot below, for example:
https://twitter.com/NumeraLoka/status/1260425729277341702
2/4 I loved it! I instantly felt like reproducing it. For now, I did it for countries in the world. Every point is a country. The more it goes UP, the more people in such countries stayed at home. The more it goes LEFT the fewer people in such countries went to workplaces. The
3/4 bigger the point, more cases. These variations are compared to the period of Jan3-Feb6, that is, before the beginning of social distancing measures. If you liked it and you want to see + tweets like this and/or want the documented source code so that you can do it too, like
4/4 this tweet and/or retweet 😊. All the data came from a data paper published in Data in Brief that you can check in the link below 😄. Information to better understand the plot can also be obtained there. doi.org/10.1016/j.dib.…
@EpiEllie, you might enjoy that. It's kind of easy to identify the US moving around in the plot, due to the big (quickly growing) number of cases. #rstats #ggplot2 #animated #COVIDBR
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