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 ...

It is often necessary to create graphs to effectively communicate key patterns within a dataset. While many software packages allow the user to make basic plots, it can be challenging to create plots ...

bbplot is not on CRAN, so you will have to install it directly from Github using devtools. If you do not have the devtools package installed, you will have to run the first line in the code below as ...

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 ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

Some of my colleagues think of me as super data-sciencey compared to other academic statisticians. But one place I lose tons of street cred in the data science community is when I talk about ggplot2.