R: Recipes for Analysis, Visualization and Machine Learning

Creating charts that facilitate comparisons

In large datasets, we often gain good insights by examining how different segments behave. The similarities and differences can reveal interesting patterns. This recipe shows how to create graphs that enable such comparisons.

Getting ready

If you have not already done so, download the book's files for this chapter and save the daily-bike-rentals.csv file in your R working directory. Read the data into R using the following command:

> bike <- read.csv("daily-bike-rentals.csv")
> bike$season <- factor(bike$season, levels = c(1,2,3,4), labels = c("Spring", "Summer", "Fall", "Winter"))
> attach(bike)

How to do it...

We base this recipe on the task of generating histograms to facilitate the comparison of bike ...