Visualize
You are reading the work-in-progress second edition of R for Data Science. This chapter is largely complete and just needs final proof reading. You can find the complete first edition at https://r4ds.had.co.nz.
After reading the first two parts of the book, you understand (at least superficially) the most important tools for doing data science. Now it’s time to start diving into the details. In this part of the book, you’ll learn about visualizing data in further depth.
Each chapter addresses one to a few aspects of creating a data visualization.
In Chapter 11 you will learn about the layered grammar of graphics.
In Chapter 12, you’ll combine visualization with your curiosity and skepticism to ask and answer interesting questions about data.
Finally, in Chapter 13 you will learn how to take your exploratory graphics and turn them into expository graphics, graphics that help the newcomer to your analysis understand what’s going on as quickly and easily as possible.
Learning more
The absolute best place to learn more is the ggplot2 book: ggplot2: Elegant graphics for data analysis. It goes into much more depth about the underlying theory, and has many more examples of how to combine the individual pieces to solve practical problems.
Another great resource is the ggplot2 extensions gallery https://exts.ggplot2.tidyverse.org/gallery/. This site lists many of the packages that extend ggplot2 with new geoms and scales. It’s a great place to start if you’re trying to do something that seems hard with ggplot2.