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 ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find ...

I have a use-case where it is convenient to set a color palette for my graphics globally for my project. I have lots of plots created by ggplot and thus I chose the strategy to use ggplot2's ...