Overview
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
Active coding exercise in Datacamp
Reading (optional)
Tidy Data - Hadley Wickham (author of Tidyverse packages and Chief Scientist at RStudio) describes the philosophy of tidy data in this paper.