Finding the year each name is most common
In an earlier video, you learned how to filter for a particular name to determine the frequency of that name over time. Now, you're going to explore which year each name was the most common.
To do this, you'll be combining the grouped mutate approach with a slice_max().
This exercise is part of the course
Data Manipulation with dplyr
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Calculate the fraction of people born each year with the same name
babynames %>%
group_by(___) %>%
mutate(___) %>%
ungroup() %>%
mutate(fraction = ___)