Using n_distinct

tidyverse
2

Hi Jason,

First of all, you can actually paste the code from reprex right into the text box here on the community site. It will be on your clipboard after you generate the reprex, so it's just a matter of pasting it in (in this case, you also need to load the library to get the data— see the reprex FAQ for detail).

n_distinct() will return the number of unique values, not the values themselves.

library(dplyr, warn.conflicts = FALSE)
dplyr::n_distinct(iris$Species)
#> [1] 3
dplyr::n_distinct(iris)
#> [1] 149

unique(iris$Species)
#> [1] setosa     versicolor virginica 
#> Levels: setosa versicolor virginica

Created on 2018-10-01 by the reprex package (v0.2.1.9000)

From the docs:

This [n_distinct()] is a faster and more concise equivalent of length(unique(x)).

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