2021-03-29 21:58:27 +08:00
|
|
|
# (PART) Tidy {.unnumbered}
|
|
|
|
|
|
2022-05-09 03:23:00 +08:00
|
|
|
# Introduction {#tidy-intro .unnumbered}
|
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. -->
|
