In the first half part of this module, you’ll watch a video that walks through the basics of using the Tidyverse ecosystem of R packages for data science. Then, you’ll complete an active coding lesson in Datacamp

Learning objectives

  • Learn about the Tidyverse ecosystem of packages and functions
  • Know the basic dplyr ‘verbs’ and how to use them to work with data frames
  • Know what makes data tidy or messy, and how and when to move between these two states
  • Understand the utility of the %>% pipe operator

Lecture video

Lecture slides on iCloud

Active coding exercise in Datacamp

Introduction to the Tidyverse

Reading (optional)

Tidy Data - Hadley Wickham (author of Tidyverse packages and Chief Scientist at RStudio) describes the philosophy of tidy data in this paper.