Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

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 ...

Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...

Make your R data.table code more efficient and elegant with these special symbols and operators. Plus, learn about the new fcase() function R data.table code becomes more efficient — and elegant — ...

The most effective and versatile of the affordable sector-based data recovery programs on the market. Though it’s a bit pricier than much of the competition (except for OnTrack’s expensive ...

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...