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Visualizing COVID-19

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

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9 Tasks1,500 XP102,623 Learners

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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

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.
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