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Mutate across multiple columns

You can use the across() function inside of mutate() to specify which columns you'd like to work with, which function to apply to these columns, and any text that you'd like to add on to the names of the new columns. Work with imf_data to create newly engineered columns from existing columns.

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.

# Multiply as_perc_gdp columns by gdp_in_billions_of_usd
imf_new_cols <- imf_data %>% 
  mutate(___(.cols = ___, 
                .fns = ~ .x * ___),
         ___) 
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