Tyler Rinker digs into ggplot2’s geoms and aesthetics:
I thought it my be fun to use the geoms aesthetics to see if we could cluster aesthetically similar geoms closer together. The heatmap below uses cosine similarity and heirarchical clustering to reorder the matrix that will allow for like geoms to be found closer to one another (note that today I learned from “R for Data Science” about the seriation package [https://cran.r-project.org/web/packages/seriation/index.html] that may make this matrix reordering task much easier).
It’s an interesting analysis of what’s available within ggplot2 and a detailed look at how different geoms fit together with respect to aesthetic options.