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  3. Categorical Data in the Tidyverse

Exercise

case_when() with single variable

In this lesson, we saw how we could make a categorical variable from a single vector or column using case_when(). Let's try that out with our dataset, multiple_choice_responses, creating a "generation" variable based on people's reported ages.

We'll use another dplyr function, between, to help us. Combined with filter, between lets us filter for rows that have values between two numbers (inclusive). For example:

mtcars %>%
  filter(between(mpg, 10, 20))

returns all the rows of mtcars where the mpg is between 10 and 20.

Instructions 1/4

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  • First, check the min and max of the variable Age, removing NAs.