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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

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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 = ___(___))
}
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