29 lines
928 B
Plaintext
29 lines
928 B
Plaintext
|
# Tidy {#sec-tidy-intro .unnumbered}
|
||
|
|
||
|
```{r}
|
||
|
#| results: "asis"
|
||
|
#| echo: false
|
||
|
source("_common.R")
|
||
|
```
|
||
|
|
||
|
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 visualization 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 -@sec-list-columns] will give you tools for working with list columns --- data stored in columns of a tibble as lists.
|
||
|
|
||
|
- In [Chapter -@sec-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. -->
|