Visualizing COVID-19

Principiante

Updated 03/2024

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

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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
From epidemic to pandemic

2
Confirmed cases throughout the world
3
China compared to the rest of the world
4
Let's annotate!
5
Adding a trend line to China
6
And the rest of the world?
7
Adding a logarithmic scale
8
Which countries outside of China have been hit hardest?
9
Plotting hardest hit countries as of Mid-March 2020

Technologies

Topics

Data Visualization

Prerrequisitos

Introduction to Importing Data in R Data Manipulation with dplyr Intermediate Data Visualization with ggplot2

Richie Cotton

Data Evangelist at DataCamp

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