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.
Este ejercicio forma parte del curso
Programming with dplyr
Instrucciones del ejercicio
- 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.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
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
___)
)