Free project

Visualizing COVID-19

Visualize the rise of COVID-19 cases globally with ggplot2.

Start Project
9 Tasks1,500 XP73,357 Learners

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

  1. 1
    From epidemic to pandemic
  2. 2
    Confirmed cases throughout the world
  3. 3
    China compared to the rest of the world
  4. 4
    Let's annotate!
  5. 5
    Adding a trend line to China
  6. 6
    And the rest of the world?
  7. 7
    Adding a logarithmic scale
  8. 8
    Which countries outside of China have been hit hardest?
  9. 9
    Plotting hardest hit countries as of Mid-March 2020
Technologies
R R
Topics
Data VisualizationCase Studies
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp
Richie is a Learning Solutions 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

What do other learners have to say?

“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph
Lloyds Banking Group

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden
Harvard Business School

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers
Decision Science Analytics, USAA