Minor Correction in 6.5 Summary Section (#1285)
vignette(pivot, package = "tidyr") should be changed to vignette("pivot", package = "tidyr") The former code produces an "object not found" error as vignette does not quote its arguments.
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@ -582,7 +582,7 @@ It's then up to you to figure out what's gone wrong with your data and either re
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In this chapter you learned about tidy data: data that has variables in columns and observations in rows.
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Tidy data makes working in the tidyverse easier, because it's a consistent structure understood by most functions: the main challenge is data from whatever structure you receive it in to a tidy format.
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To that end, you learned about `pivot_longer()` and `pivot_wider()` which allow you to tidy up many untidy datasets.
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The examples we used here are just a selection of those from `vignette(pivot, package = "tidyr")`, so if you encounter a problem that this chapter doesn't help you with, that vignette is a good place to try next.
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The examples we used here are just a selection of those from `vignette("pivot", package = "tidyr")`, so if you encounter a problem that this chapter doesn't help you with, that vignette is a good place to try next.
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If you particularly enjoyed this chapter and want to learn more about the underlying theory, you can learn more about the history and theoretical underpinnings in the [Tidy Data](https://www.jstatsoft.org/article/view/v059i10) paper published in the Journal of Statistical Software.
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