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Effect of membership and weekday

Expanding on the previous plot, let's add one more variable into our summary, adding a facet dimension for whether or not the rider is a member of BIXI.

Cet exercice fait partie du cours

Visualizing Big Data with Trelliscope in R

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Instructions

  • Compute the number of rides, n for each combination of start week, start hour of day, weekday, and membership.
  • Use points to plot n on the y-axis and start_wk on the x-axis and color the points by weekday.
  • Facet using facet_grid() to vary start_hod across columns and membership across rows.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

library(dplyr)
library(ggplot2)

# Compute wk_memb_hod
wk_memb_hod <- bike %>%
  ___ %>%
  ___

# Plot the result
ggplot(wk_memb_hod, aes(___, ___, color = ___)) +
  ___ +
  facet_grid(___ ~ ___) +
  scale_y_sqrt()
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