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().
Это упражнение является частью курса
Data Manipulation with dplyr
Интерактивное практическое упражнение
Попробуйте выполнить это упражнение, дополнив этот пример кода.
# Calculate the fraction of people born each year with the same name
babynames %>%
group_by(___) %>%
mutate(___) %>%
ungroup() %>%
mutate(fraction = ___)