purrr and scatterplots

Since ggplot() does not accept lists as an input, it can be paired up with purrr to go from a list to a data frame to a ggplot() graph in just a few lines of code.

You will continue to work with the gh_users data for this exercise. You will use a map_*() function to pull out a few of the named elements and transform them into the correct datatype. Then create a scatterplot that compares the user's number of followers to the user's number of public repositories.

This exercise is part of the course

Foundations of Functional Programming with purrr

View Course

Exercise instructions

  • map() over gh_users, use the map_*() function that creates a data frame, with four columns, named "login", "name", "followers" and "public_repos".
  • Pipe that data frame into a scatterplot, where the x axis is followers and y is public_repos.

Hands-on interactive exercise

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

# Create a data frame with four columns
map___(___, `[`, 
       c(___,___,___,___)) %>%
       # Plot followers by public_repos
    ggplot(., 
         aes(x = ___, y = ___)) + 
        # Create scatter plots
        geom____()