Coronavirus data analysis with R, tidyverse and ggplot2

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

Coronavirus data analysis – China

Coronavirus - cases by country

About Yanchang Zhao

I am a data scientist, using R for data mining applications. My work on R and data mining:; Twitter; Group on Linkedin; and Group on Google.
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7 Responses to Coronavirus data analysis with R, tidyverse and ggplot2

  1. edutabacman says:

    This is excellent! Would you mind making the Rmd code for the pdfs available?

  2. Alfredo Bernardis says:

    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.

  3. glensbo says:

    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)

  4. Vince Schulz says:

    This is fantastic! Thank you for making this, and updating frequently! It has information not displayed anywhere else, including New York Times, Washington Post, etc.

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