# to customize color options in ggplot2. # Learning Goals: # 1) be able to manipulate colors of individual ggplot layers # 2) be able to manipulate colors based on a fill/color specification in aes() ...

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 ...

Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...

The ultimate goal of any analysis is to *communicate* your results and understandings. Plotting your data is the most effect way to communicate a summary of it to an audience. Today will focus on the ...

There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...