Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Drawing a bubble plot


Until now, we saw how we can work points' shapes and colors to display more information, but what about sizes? Sizes are also a feasible option. Plots that combine circles with sizes to transmit information are known as bubble plots. This recipe's intention is to brew the working material for the following recipes; to do this, we will craft and store a bubble plot.

For now, a little context. By the end of the 16th century, Spain had this navy that was called "La Feliscima Armada". Here, we are analyzing the relation between soldiers, sailors, and ships held by each navy fleet. What are you expecting?  Will the fleet with more sailors be the fleet with more ships? Let's call ggplot2 to solve this question by drawing a bubble plot on this query.

Getting ready

The dataset we are about to use is called Armada and comes from the HistData package, so we better check the last one:

> if( !require(HistData)){ install.packages('HistData')}

The Armada data frame has 10 observations...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime