R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

T. MailundR 4 Data Science Quick Referencehttps://doi.org/10.1007/978-1-4842-8780-4_5

5. Reformatting Tables: tidyr

Thomas Mailund¹  

(1)

Aarhus, Denmark

 

Even if we only consider tabular data, there are still many different ways to format this data. The packages in the Tidyverse expect that data is represented as so-called “tidy data”¹ (which is where the name Tidyverse comes from). The tidyr package helps you with formatting your data into tidy data.

You can load tidyr as part of the tidyverse:

library(tidyverse)

or on its own

library(tidyr)

Tidy Data

The fundamental properties that characterize tidy data are that each variable is in a column, and each ...