r4ds/tidy.Rmd

# (PART) Tidy {.unnumbered}

# Introduction {#wrangle-intro .unnumbered}

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")
```

<!--# TO DO: Redo the diagram without highlighting import. -->

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.

<!--# TO DO: Revisit bullet points about new chapters. -->
Data transformation (#940) * Minor edit + link to style guide * Fix reference * If you don't know order of operations, not clear * Alt text + minor edits * Add median and fix reference * Move up mult groups up to discuss summarise msg * Go over grouping again * Part rename * Chapter rename * Clean up section labels to avoid dups * Update comment * Switch part order * Move columnwise to transform 2021-03-29 21:58:27 +08:00			`# (PART) Tidy {.unnumbered}`

Remove numbers from section intros 2022-02-16 05:59:19 +08:00			`# Introduction {#wrangle-intro .unnumbered}`
Data transformation (#940) * Minor edit + link to style guide * Fix reference * If you don't know order of operations, not clear * Alt text + minor edits * Add median and fix reference * Move up mult groups up to discuss summarise msg * Go over grouping again * Part rename * Chapter rename * Clean up section labels to avoid dups * Update comment * Switch part order * Move columnwise to transform 2021-03-29 21:58:27 +08:00
			`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")`
			```

			`<!--# TO DO: Redo the diagram without highlighting import. -->`

			`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.`

			`<!--# TO DO: Revisit bullet points about new chapters. -->`