Abstract
Tidy data is important, but it’s not the end of the road. Often you won’t have quite the right variables, or your data might need a little aggregation before you visualise it. This chapter will show you how to solve these problems (and more!) with the dplyr package.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReference
Törnqvist L, Pentti V, Yrjö OV (1985) How should relative changes be measured? Am Stat 39(1):43–46
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 the Author
About this chapter
Cite this chapter
Wickham, H. (2016). Data Transformation. In: ggplot2. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-24277-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-24277-4_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24275-0
Online ISBN: 978-3-319-24277-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)