Median unemployment rates by group
Now it's time to get your hands dirty with rlang and its curly-curly ({{ }}) operator!
The rlang package has also been loaded for you here and throughout the rest of this chapter.
This exercise is part of the course
Programming with dplyr
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Finish the function definition
grouped_median_unemploy <- ___(group_col) {
world_bank_data %>%
select(iso, country, year,
continent, region, unemployment_rate) %>%
___( ___ ) %>%
___(
median_unemployment = ___(___))
}