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Wrangle proofing

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# Introduction {#wrangle-intro} # Introduction {#wrangle-intro}
In this part of the book, you'll learn about data wrangling, the art of getting your data into R in a useful form. Data wrangling encompasses three main pieces: In this part of the book, you'll learn about data wrangling, 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%"} ```{r echo = FALSE, out.width = "75%"}
knitr::include_graphics("diagrams/data-science-wrangle.png") knitr::include_graphics("diagrams/data-science-wrangle.png")
``` ```
Data wrangling is import because it allows you to work with your own data. You'll learn: This part of the book proceeds as follows:
* In [tibbles], you'll learn about the variant of the data frame that we use * In [tibbles], you'll learn about the variant of the data frame that we use
in this book: the __tibble__. You'll learn what makes them different in this book: the __tibble__. You'll learn what makes them different
from regular data frames, and how you can construct them "by hand". from regular data frames, and how you can construct them "by hand".
* In [data import], you'll learn the art of data import: how to get your * In [data import], you'll learn how to get your data from disk and into R.
data from disk and into R. We'll focus on plain-text rectangular We'll focus on plain-text rectangular formats, but will give you pointers
formats, but will give you pointers to packages that help with other to packages that help with other types of data.
types of data.
* In [tidy data], you'll learn about tidy data, a consistent way of storing * In [tidy data], you'll learn about tidy data, a consistent way of storing
your data that makes transformation, visualisation, and modelling easier. your data that makes transformation, visualisation, and modelling easier.
You'll learn the underlying principles, and how to get your data into a
tidy form.
Data wrangling also encompasses data transformation. You've already learned the basics, and now you'll learn new skills for specific types of data: Data wrangling also encompasses data transformation, which you've already learn a little about. Now we'll focus new skills for three specific types of data you will frequently encounter in practice:
* [Dates and times] will give you the key tools for working with * [Dates and times] will give you the key tools for working with
dates, and date-times. dates and date-times.
* [Strings] will introduce regular expressions, a powerful tool for * [Strings] will introduce regular expressions, a powerful tool for
manipulating strings. manipulating strings.
* [Relational data] will give you tools for working with multiple * [Relational data] will give you tools for working with multiple
interrelated datasets. interrelated datasets.