31 lines
1.1 KiB
Plaintext
31 lines
1.1 KiB
Plaintext
# (PART) Wrangle {-}
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# Introduction
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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:
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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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* In [data import], you'll learn the art of data import: how to get your data
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off of disk and into R.
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* In [tidy data], you'll learn about tidy data, a consistent way of storing your
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data that makes transformation, visualiation, and modelling easier.
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* You've already learned the basics of data transformation. In this part of the
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book we'll dive deeper into tools useful for specific types of data:
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* [Dates and times] will give you the key tools for working with
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dates, and date times.
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* [Strings] will introduce regular expressions, a powerful tool for
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manipulating strings.
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* [Relational data] will give you tools for working with multiple
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interrelated datasets.
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Before we get to those chapters we'll take a brief discussion to discuss the "tibble" in more detail, in [tibbles].
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