Coronavirus data analysis – an analysis of data around the Novel Coronavirus (COVID-19) with R, tidyverse and ggplot2. Download full analysis reports at links below.
Coronavirus data analysis – world wide
http://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf
Coronavirus data analysis – China
http://www.rdatamining.com/docs/Coronavirus-data-analysis-china.pdf
This is excellent! Would you mind making the Rmd code for the pdfs available?
At a first glance, one can see that Australia have had the same level of infected than Italy or Iran or South Korea or Iran, because of the plot scale, but really there is a difference of 100 times. It could be very confusing.
May be using the same scale in each graph could be more realistic or more clear, isn’t it?
Thanks for your comment.
Have tried with same scale, but in that case, you can barely see anything in countries apart from China, Italy and Iran.
Have added some charts in log scale to the latest version.
It has been mentioned that due to cultural habits in Japan (avoiding close contact handshaking etc) should reduce how steep the curve for corona infected would bee. Are you able to confirm this from your data? (Japan is not among the top ten countries)
Thanks for the suggestion. Now top 20 countries, incl. Japan, are reported in the analysis. Please find the latest version at http://www.rdatamining.com/docs/Coronavirus-data-analysis-world.pdf .
Thanks a lot – impressive work! And the curve for Japan seems less steep than that for Denmark. In Denmark, the Minister for health was pretty disappointed with us Danes meeting in groups where the interaction was too close.