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 ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

R is hot. Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn’s R group or the more than 400 R Meetup groups currently in existence, there can be little doubt that ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

There are lots of good reasons you might want to analyze public data, from detecting salary trends in government data to uncovering insights about a potential investment (or your favorite sports team) ...

There’s no single formula for creating a great data visualization. Like so many things in life, the best way to learn is to simply watch the experts. In this exclusive video created by R/GA with Fast ...