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Summarize across multiple variables

The across() function also works smoothly with summarize() for calculating across multiple rows. This is much faster and with less code than summarizing across each column individually.

This exercise is part of the course

Programming with dplyr

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Exercise instructions

  • Keep only rows corresponding to Bolivia.
  • Go across all columns containing "perc".
  • Find the minimum value for each of these columns.
  • Add "min_" to the beginning of each of the column names.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

imf_data %>% 
  # Focus on Bolivia rows
  filter(___) %>% 
  summarize(
    # Compute for all column names including "perc"
    across(___, 
           # Calculate the minimum value
           ___,
           # Prepend "min_" to column names
           ___)
  )
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