Welcome to the new and improved tidyverse website. We are working hard to make tidyverse.org the place to go to learn the tidyverse and to keep up to date with it as it evolves. We want https://tidyverse.org to be your one stop shop for everything tidy!

As well as radically improved graphic design, the site includes four new components:

  • Packages: a listing of all packages in the tidyverse, broken down by domain.

  • Learn: our advice on learning the tidyverse.

  • Help: are you stuck on something involving the tidyverse? Learn how to write a reprex then learn where to ask for help.

  • This blog! Expect to see regular updates on what’s happening in the tidyverse. This includes package updates, in person events, and integrative case studies that show you how to use multiple packages from the tidyverse to solve real problems.

The site is made with blogdown and the source code is available on GitHub. If you spot any small mistakes please feel empowered to create a PR and fix them!

Upcoming events
Nov 18 - Nov 19
This two-day course will provide an overview of using R for supervised learning. The session will step through the process of building, visualizing, testing, and comparing models that are focused on prediction. The goal of the course is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies on real data will be used to illustrate the functionality and several different predictive models are illustrated. The class is taught by Max Kuhn.