Within months, COVID-19 went from an epidemic to a pandemic. From the first identified case in December 2019, how did the virus spread so fast and widely? In this free R project, we will visualize data from the early months of the coronavirus outbreak to see how this virus grew to be a global pandemic.
This project assumes you can manipulate data frames using
dplyr and make plots using
ggplot2. You can learn these skills in the courses: Data manipulation with dplyr and Intermediate Data Visualization with ggplot2. The dataset for this project can be found here.
Curriculum Architect at DataCamp
Richie is a Curriculum Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.See More