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 ...

We start with ggplot2() function; which gives a blank plot area like a canvas. You can keep enhancing the plot by adding more layers (and themes) to an existing plot created using the ggplot() ...

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 ...

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 ...