A data visualization makeover: riffing off of other people's COVID-19 figures (CC144)
Pat gives a COVID-19 data visualization a makeover using the ggplot2 R package by combining what he likes best of two figures generated by the researchers at Ipsos and chartr. Along the way he'll review a number of concepts from the past few episodes of Code Club including fonts, colors, and customizing axis labels. 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.
Pat uses functions from the tidyverse including functions from the #ggplot2, #dplyr, showtext, ggtext and glue packages in #RStudio. The accompanying blog post can be found at www.riffomonas.org/code_club/....
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0:00 Introduction
2:17 Make figure’s titles more provocative
5:45 Customize fonts
10:42 Remove axis labels and tick marks
13:49 Change colors in alternating color background
17:08 Increase contrast between months
20:29 Cleaning up appearance of figure
22:52 Implementing a legend
27:41 Recap
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