How to define custom colors and color palettes in R and create your own scale_color and scale_fill functions to use in ggplot2.
Techniques in ggplot2 to make your plots more flexible and robust to changing data.
An introduction to the basic functions of the cowplot package for arranging plots together.
Fun and custom-looking alternatives to simple color legends in ggplot2.
Slides from a useR group lightning talk on getting started with creating custom themes in ggplot2.
From Nightingale, the journal of the Data Visualization Society As the 2019–20 NHL hockey season kicks off, Tableau data-vizzists (data visualizers? data viz artisans?) Meghan Hall and Sean Tierney took some time to discuss how they got started with visualizations in hockey, their processes for creating interactive charts, and what they see as the future of data visualization for the NHL. Click here to read the rest of this article on Medium.