# (PART) Tidy {.unnumbered}

# Introduction {#wrangle-intro}

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:

```{r echo = FALSE, out.width = "75%"}
knitr::include_graphics("diagrams/data-science-wrangle.png")
```

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This part of the book proceeds as follows:

-   Chapter \@ref(list-columns) will give you tools for working with list columns --- data stored in columns of a tibble as lists.

-   In Chapter \@ref(rectangle-data), you'll learn about hierarchical data formats and how to turn them into rectangular data via unnesting.

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