I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

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.

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 — ...

Have data sets scattered all over the place? Here's how to pull them into a single, robust catalog with the pointblank R package and a Quarto document. Do you have data sets scattered all over the ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

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 ...

Once you’ve installed and configured R to your liking, it’s time to start using it to work with data. Yes, you can type your data directly into R’s interactive console. But for any kind of serious ...

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 ...