project
Visualizing COVID-19
Visualize the rise of COVID-19 cases globally with ggplot2.
Start Free Project9 Tasks1,500 XP127,664
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?Try DataCamp For Business
Loved by learners at thousands of companies
Project Description
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.
Project Tasks
- 1From epidemic to pandemic
- 2Confirmed cases throughout the world
- 3China compared to the rest of the world
- 4Let's annotate!
- 5Adding a trend line to China
- 6And the rest of the world?
- 7Adding a logarithmic scale
- 8Which countries outside of China have been hit hardest?
- 9Plotting hardest hit countries as of Mid-March 2020
Technologies
R
Topics
Data VisualizationRichie Cotton
See More
Data Evangelist at DataCamp
Richie is a Data Evangelist 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.