22 lines
880 B
Plaintext
22 lines
880 B
Plaintext
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# (PART) Tidy {.unnumbered}
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# Introduction {#wrangle-intro}
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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.
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Data wrangling is very important: without it you can't work with your own data!
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There are three main parts to data wrangling:
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```{r echo = FALSE, out.width = "75%"}
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knitr::include_graphics("diagrams/data-science-wrangle.png")
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```
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<!--# TO DO: Redo the diagram without highlighting import. -->
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This part of the book proceeds as follows:
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- Chapter \@ref(list-columns) will give you tools for working with list columns --- data stored in columns of a tibble as lists.
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- 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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<!--# TO DO: Revisit bullet points about new chapters. -->
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