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.

Some Excel tips and tricks for manipulating dates, and for getting data into the format you need, are also ready for your R pleasure.

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.

So you’ve read your data into an R object. Now what? Examine your data object Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries ...

With the influx of data and self-service analytics tools, we're going to need more people capable of communicating insights effectively. The next generation of data storytellers will not be ...

Lesson 5 Recoding Data The purpose of this tutorial is to show you how to recode columns (that is, to create a new column based on the values in one or more other columns). This is very simple in R ...