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().
Deze oefening maakt deel uit van de cursus
Data Manipulation with dplyr
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Calculate the fraction of people born each year with the same name
babynames %>%
group_by(___) %>%
mutate(___) %>%
ungroup() %>%
mutate(fraction = ___)