From mapping to data munging, new R packages keep adding both functionality and ease of use to R.

A guide to the popular, free statistics and visualization software that gives scientists control of their own data analysis.

Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the ...

ggplot2 is not only the R language’s most popular data visualization package, it is also an ecosystem. Numerous add-on packages give ggplot added power to do everything from more easily changing ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

In addition to ensuring that every R developer is using the same official style, we also hoped this package would make data visualization in R more user-friendly for those who are newer to programming ...

Researchers at China Pharmaceutical University have developed GseaVis, a user-friendly R package that significantly enhances the visualization of Gene Set Enrichment Analysis (GSEA) results. This ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

If your research involves manipulating data sets than you may have heard your peers talking about “R”. This free programming language is robust, easy-to-learn and versatile. Just like everyone else, ...