ComenzarEmpieza gratis

Daily ride counts

A useful way to tabulate and visualize cab rides is by looking at the number of rides according to the calendar day. In this exercise, you'll compute this summary and examine how daily ridership varies by time and the day of week.

The tx data set is preloaded for you.

Este ejercicio forma parte del curso

Visualizing Big Data with Trelliscope in R

Ver curso

Instrucciones del ejercicio

  • Create a daily summary, grouping by the date of pickup (pickup_date) and counting the number of rides, calling the new variable n_rides. Recall that dplyr's n() function provides a count of how many observations are in each group.
  • Plot the result using ggplot2's geom_line(), with pickup_date on the x-axis and n_rides on the y-axis.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

library(dplyr)
library(ggplot2)

# Summarize the number of taxi rides by pickup day
daily_count <- tx %>%
  group_by(___) %>%
  summarise(n_rides = ___)

# Create a line plot
ggplot(daily_count, aes(___, ___)) +
  ___
Editar y ejecutar código