29 Introduction

In this part of the book, you’ll learn about data tidying, the art of getting your data into R in a useful form for visualisation and modelling. Data wrangling is very important: without it you can’t work with your own data! There are three main parts to data wrangling:

This part of the book proceeds as follows:

  • Chapter 30 will give you tools for working with list columns — data stored in columns of a tibble as lists.

  • In Chapter 31, you’ll learn about hierarchical data formats and how to turn them into rectangular data via unnesting.