Reshaping 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 reshape and join datasets. You 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. The Data Cleaning in R workshop will also be a helpful prerequisite.

Join Johns Hopkins 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()) in dplyr to combine two datasets. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors.