30 lines
1.3 KiB
Plaintext
30 lines
1.3 KiB
Plaintext
# (PART) Data types {.unnumbered}
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# Introduction {#data-types-intro}
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In this part of the book, you'll learn about data types, ...
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<!--# TO DO: Add a diagram? -->
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This part of the book proceeds as follows:
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- In Chapter \@ref(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".
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Data wrangling also encompasses data transformation, which you've already learned a little about.
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Now we'll focus on new skills for specific types of data you will frequently encounter in practice:
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- Chapter \@ref(relational-data) will give you tools for working with multiple interrelated datasets.
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<!--# TO DO: Something about logicals and numbers -->
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<!--# TO DO: Something about general vector tools -->
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<!--# TO DO: Something about missing values -->
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- Chapter \@ref(strings) will give you tools for working with strings and introduce regular expressions, a powerful tool for manipulating strings.
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- Chapter \@ref(factors) will introduce factors -- how R stores categorical data.
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They are used when a variable has a fixed set of possible values, or when you want to use a non-alphabetical ordering of a string.
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- Chapter \@ref(dates-and-times) will give you the key tools for working with dates and date-times.
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