Skip to Content
Data Analysis with R, Second Edition - Second Edition
book

Data Analysis with R, Second Edition - Second Edition

by Tony Fischetti
March 2018
Beginner to intermediate content levelBeginner to intermediate
570 pages
13h 42m
English
Packt Publishing
Content preview from Data Analysis with R, Second Edition - Second Edition

Categorical and continuous variables

We have seen that box plots are a great way of comparing the distribution of a continuous variable across different categories. As you might expect, box plots are very easy to produce using ggplot2.

The following snippet produces the box-and-whisker plot that we saw earlier, depicting the relationship between the petal lengths of the different iris species in the iris dataset:

 library(ggplot) 
 qplot(Species, Petal.Length, data=iris, geom="boxplot",  
         fill=Species) 

First, we specify the variable on the x axis (the iris species) and then the continuous variable on the y axis (the petal length). Finally, we specify that we are using the iris dataset, that we want a box plot, and that we want to fill the boxes ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Radhika Datar, Harish Garg
Bayesian Data Analysis, Third Edition, 3rd Edition

Bayesian Data Analysis, Third Edition, 3rd Edition

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
R: Data Analysis and Visualization

R: Data Analysis and Visualization

Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger, Ferenc Illés, Milán Badics, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, István Margitai, Balázs Márkus, Péter Medvegyev, Julia Molnár, Balázs Árpád Szucs, Ágnes Tuza, Tamás Vadász, Kata Váradi, Ágnes Vidovics-Dancs

Publisher Resources

ISBN: 9781788393720Supplemental Content