Visualizing the normalized change in popularity

You picked a few names and calculated each of them as a fraction of their peak. This is a type of "normalizing" a name, where you're focused on the relative change within each name rather than the overall popularity of the name.

In this exercise, you'll visualize the normalized popularity of each name. Your work from the previous exercise, names_normalized, has been provided for you.

names_normalized <- babynames %>%
                     group_by(name) %>%
                     mutate(name_total = sum(number),
                            name_max = max(number)) %>%
                     ungroup() %>%
                     mutate(fraction_max = number / name_max)

Questo esercizio fa parte del corso

Data Manipulation with dplyr

Visualizza il corso

Istruzioni dell'esercizio

Filter the names_normalized table to limit it to the three names Steven, Thomas, and Matthew.
Create a line plot from names_filtered to visualize fraction_max over time, colored by name.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

names_filtered <- names_normalized %>%
  # Filter for the names Steven, Thomas, and Matthew
  ___

# Visualize the names in names_filtered over time
___

Modifica ed esegui il codice