What is the difference between tidyr and dplyr?

tidyverse
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1

Hi,
I use both tidyr and dplyr. I have an intuitive sense of how the two packages are different, and I have noticed that most of my projects are more tidyr heavy in the beginning. Nevertheless, I occasionally have difficulties remembering what function belongs to which package (e.g. drop_na() )

Can someone give me a short description of how the two packages are different in terms of the tasks they are designed to solve?

Thanks

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tidyr is for reshaping data i.e. pivoting longer /wider and nesting and unnesting; dplyr is for everything else

1 Like
3

Thank you,
Why do you think these functions are in tidyr? I would expect them to be in dplyr.

uncount()
drop_na()
replace_na()

Not that it is a big issue. I am just wondering if there is some hidden connection that I am missing.

4

Uncount is on par with pivoting longer and unnesting for me. The the others, historic I guess.
I typically load tidyverse and don't worry which subpackage is being called

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