Cleveland dot chart vs bar plot with R's ggplot2 (CC158)
So which is better in the Cleveland dot chart vs bar plot battle of plots? A Cleveland dot chart is a simple way to represent continuous data against categorical data. It is a nice alternative to the traditional bar plot, which uses a lot of ink to convey little extra information. I’m going with the Cleveland dot chart. Regardless it is straightforward to go back and forth between the figures by chaging a single line of ggplot2 R code. The data depict the percentage of people in 15 countries who would be willing to receive the COVID-19 vaccine as of August and October of 2020.
In this episode, Pat uses
dplyr to make a Cleveland dot chart and bar plot using
You can browse the state of the repository at the
august_october_2020.csv data is available in the GitHub repository.
X.1,Total Agree - August 2020,Total Agree - October 2020 Total,77,73 India,87,87 China,97,85 South Korea,84,83 Brazil,88,81 Australia,88,79 United Kingdom,85,79 Mexico,75,78 Canada,76,76 Germany,67,69 Japan,75,69 South Africa,64,68 Italy,67,65 Spain,72,64 United States,67,64 France,59,54