Add new import part
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"factors.Rmd",
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"factors.Rmd",
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"datetimes.Rmd",
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"datetimes.Rmd",
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"import.Rmd",
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"import-rectangular.Rmd",
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"import-spreadsheets.Rmd",
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"import-databases.Rmd",
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"import-webscrape.Rmd",
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"import-other.Rmd",
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"program.Rmd",
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"program.Rmd",
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"pipes.Rmd",
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"pipes.Rmd",
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"functions.Rmd",
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"functions.Rmd",
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# Databases {#import-databases}
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<!--# TO DO: Write chapter. -->
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# Other types of data {#import-other}
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<!--# TO DO: Write chapter. -->
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# Rectangular data {#import-rectangular}
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<!--# TO DO: Write chapter. -->
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# Spreadsheets {#import-spreadsheets}
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<!--# TO DO: Write chapter. -->
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# Web scraping {#import-webscrape}
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<!--# TO DO: Write chapter. -->
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# (PART) Import {.unnumbered}
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# Introduction {#import-intro}
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In this part of the book, you'll learn how to get your into R.
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We'll focus on plain-text rectangular formats, spreadsheets, databases, and web data.
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<!--# TO DO: Decide if a diagram is needed, see wrangle-intro for reference. -->
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This part of the book proceeds as follows:
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- In Chapter \@ref(import-rectangular), you'll learn how to get plain-text data in rectangular formats from disk and into R.
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- In Chapter \@ref(import-spreadsheets), you'll learn how to get data from Excel spreadsheets and Google Sheets into R.
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- In Chapter \@ref(import-databases), you'll learn about getting data into R from databases.
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<!--# TO DO: List which types of databases. -->
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- In Chapter \@ref(import-webscrape), you'll learn about harvesting data off the web and getting it into R.
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- We'll close up the part with a brief discussion on other types of data and pointers for how to get them into R in Chapter \@ref(import-other).
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