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.

See how to join two data sets by one or more common columns using base R’s merge function, dplyr join functions, and the speedy data.table package. R has a number of quick, elegant ways to join data ...

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 — ...

With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and ...

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 ...