Included in the zipped download: An R script with step-by-step explanations as comments, so you can easily follow along with this tutorial And sample data in the data subdirectory: ...

There is no shortage of good introductions to R. But if I had to learn how to code from scratch I would go with this no-frills tutorial by Norm Matloff at the University of California.

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 ...

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.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering.