R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

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 ...

In this podcast, the speaker will explain about the R graphics Cookbook, the users’ will learn the basics of how to create data graphics using R and the popular ggplot2 package. Visualization is an ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

R has some excellent mapping options. There is the leaflet R package, which I use when I want to do a lot of customization. There is tmap, which I like for its nice balance between power and ease of ...

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...