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)

This exercise is part of the course

Data Manipulation with dplyr

View Course

Exercise instructions

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.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

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

# Visualize the names in names_filtered over time
___

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