colleges <- read.csv("https://remiller1450.github.io/data/Colleges2019.csv") This online tutorial is designed to introduce you to data visualization and how to create ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

When using drawings instead of graphs, almost always, you will loose information in the drawing that is contained in the underlying data (as simplification is often the point of using drawings in the ...

The ggplot2 package is powerful and almost endlessly customizable, but sometimes small tweaks can be a challenge. The ggtext package aims to simplify styling text on your visualizations. In this ...

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...