Manipulating and Joining Data in R with dplyr

Description

Prerequisite: Introduction to R for Absolute Beginners or some experience using R.

The dplyr package is a popular R package that people often use to manipulate and join datasets. Attendees will need to have either some basic knowledge about using R or have previously attended the Introduction to R for Absolute Beginners workshop in order to take this one.

Join Johns Hopkins Data Services for this workshop to 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, attendees 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. Attendees will have plenty of opportunities to do hands-on activities on their laptops and work on datasets provided by instructors.