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
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
___)
)