Examining levels
Let's continue to build our understanding of CurrentJobTitleSelect
. In the previous exercise, we were able to get how many levels it has, but the other important part is what those levels are. Just like the last exercise, we'll use pull
to get the values of CurrentJobTitleSelect
from the dataset responses_as_factors
. pull
can be used interchangeably with $
as a way to extract a column as a vector from a table. For example, mean(mtcars$mpg)
is the same as mean(mtcars %>% pull(mpg))
or mtcars %>% pull(mpg) %>% mean()
.
This exercise is part of the course
Categorical Data in the Tidyverse
Exercise instructions
pull()
the columnCurrentJobTitleSelect
.- Get the values of the levels.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
responses_as_factors %>%
# Pull CurrentJobTitleSelect
___(CurrentJobTitleSelect) %>%
# Get the values of the levels
___