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Tweaking wrangle intro

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hadley 2016-07-24 14:53:59 -05:00
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wrangle.Rmd
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@ -8,23 +8,28 @@ In this part of the book, you'll learn about data wrangling, the art of getting
knitr::include_graphics("diagrams/data-science-wrangle.png")
```
* In [data import], you'll learn the art of data import: how to get your data
off of disk and into R.
Data wrangling is import because it allows you to work with your own data. You'll learn:
* In [tidy data], you'll learn about tidy data, a consistent way of storing your
data that makes transformation, visualiation, and modelling easier.
* 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
from regular data frames, and how you can construct them "by hand".
* You've already learned the basics of data transformation. In this part of the
book we'll dive deeper into tools useful for specific types of data:
* In [data import], you'll learn the art of data import: how to get your
data off of disk and into R. We'll focus on plain-text rectangular
formats, but will give you pointers to packages that help with other
types of data.
* [Dates and times] will give you the key tools for working with
* In [tidy data], you'll learn about tidy data, a consistent way of storing
your data that makes transformation, visualisation, and modelling easier.
Data wrangling also encompasses data transformation. You've already learned the basics, and now you'll learn new skills for specific types of data:
* [Dates and times] will give you the key tools for working with
dates, and date times.
* [Strings] will introduce regular expressions, a powerful tool for
* [Strings] will introduce regular expressions, a powerful tool for
manipulating strings.
* [Relational data] will give you tools for working with multiple
* [Relational data] will give you tools for working with multiple
interrelated datasets.
Before we get to those chapters we'll take a brief discussion to discuss the "tibble" in more detail, in [tibbles].