26 lines
1.1 KiB
Plaintext
26 lines
1.1 KiB
Plaintext
# Wrangle {#sec-import-intro .unnumbered}
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```{r}
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#| results: "asis"
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#| echo: false
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source("_common.R")
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```
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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 for visualisation and modelling.
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Data wrangling is very important: without it you can\'t work with your own data!
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Wrangle encompasses three parts of the data science flow: importing, tidying, and transforming.
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This part of the book proceeds as follows:
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- In [Chapter -@sec-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 -@sec-import-spreadsheets], you'll learn how to get data from Excel spreadsheets and Google Sheets into R.
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- In [Chapter -@sec-import-databases], you'll learn about getting data into R from databases.
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- In [Chapter -@sec-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 -@sec-import-other].
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