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Making Graphs of Different User Types

Let's compare graphs of people who subscribe to the divvy bike vs. more casual non-subscribing customers.

It's convenient to use dplyr to manipulate the data before using graph_from_data_frame() to create the graph. One useful dplyr function you'll need is n(), which gives the number of rows in that group of the data frame.

Cet exercice fait partie du cours

Case Studies: Network Analysis in R

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

subscribers <- bike_dat %>% 
  # Filter for rows where usertype is Subscriber
  ___(___ == "___")

# Count the number of subscriber trips
n_subscriber_trips <- nrow(___)

subscriber_trip_graph <- subscribers %>% 
  # Group by from_station_id and to_station_id
  ___(___, ___) %>% 
  # Calculate summary statistics
  summarize(
    # Set weights as proportion of total trips
    weights = ___() / n_subscriber_trips
  ) %>%
  # Make a graph from the data frame
  graph_from_dataframe()
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