Reshaping and Joining Data in R with dplyr

This is the website for the workshop “Reshaping and Joining Data in R with dplyr” offered by JHU Sheridan Libraries Data Services every semester.

The dplyr package is a popular R package that people often use to manipulate and join datasets. Join JHU Data Services for this workshop and you will learn to use several functions, including  mutate(),  filter(),  select(),  summarize() and  group_by(), in dplyr to manipulate data for the first half of the workshop. For the second part of this workshop, you will learn the join functions (e.g.  left_join(),  right_join(),  inner_join(),  semi_join(),  anti_join(),  full_join(),  bind_rows() and bind_cols()) and set operations (e.g. union(), intersect() and setdiff()) in dplyr to combine two datasets.

• Survey: Please be sure to take our survey and let us know your feedback about our March 11th, 2025 “Reshaping and Joining Data in R with dplyr” session.

• Slides: The slides are available here (or above using the Presentation link).

• Recording: This session was not recorded, but you can view a prior recording of this session here.

dplyr Resources

• R for Data Science 2e, Chapters 3 & 19

• dplyr documentation

• Software Carpentries: Data Frame Manipulation with dplyr

All materials on this site are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), attributable to Data Services, Johns Hopkins University.