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 ...

Creating engaging and accessible data visualizations of high quality in an efficient and preferably reproducible way is an essential tool in a data scientist's toolbox. After completing the course, ...

Visualization is a powerful mechanism for extracting information from data. ggplot2 is a contributed visualization package in the R programming language, which creates publication-quality statistical ...

ggplot2 extensions are R packages that build on top of ggplot2 to add new geoms, stats, scales, themes, and other capabilities. This companion app catalogues them in one place with: ...

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 ...

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 ...