This book helps you understand the theory that underpins ggplot2, and will help you create new types of graphics specifically tailored to your needs. It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. If you’ve mastered the basics and want to learn more, read ggplot2: Elegant Graphics for Data Analysis. Installation of Rstudio on Ubuntu 22.04LTS using sudo dpkg -i rstudio-2022.02.b fails due to missing dependencies libssl1.0.0 libssl1.0.2 libssl1.1 Note that these libraries are no longer available with 22.04LTS and have been replaced by libssl3 Looks like we need a new installation package for 22. It provides a set of recipes to solve common graphics problems. If you want to dive into making common graphics as quickly as possible, I recommend The R Graphics Cookbook by Winston Chang. If you’d like to follow a webinar, try Plotting Anything with ggplot2 by Thomas Lin Pedersen. If you’d like to take an online course, try Data Visualization in R With ggplot2 by Kara Woo. The R packages found in the universe repository are not updated when new versions of R or the recommended packages are released. R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible. To install R: sudo apt-get install r-base r-base-dev This will install R, the recommended packages, and files needed to install many additional packages (but not all) from within R using install.packages ('foo'). The Data Visualisation and Graphics for communication chapters in R for Data Science. Currently, there are three good places to start: If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.
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