Book Image

R Data Visualization Recipes

By : Vitor Bianchi Lanzetta
Book Image

R Data Visualization Recipes

By: Vitor Bianchi Lanzetta

Overview of this book

R is an open source language for data analysis and graphics that allows users to load various packages for effective and better data interpretation. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions. This book is an update to our earlier R data visualization cookbook with 100 percent fresh content and covering all the cutting edge R data visualization tools. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization using R. It starts off with the basics of ggplot2, ggvis, and plotly visualization packages, along with an introduction to creating maps and customizing them, before progressively taking you through various ggplot2 extensions, such as ggforce, ggrepel, and gganimate. Using real-world datasets, you will analyze and visualize your data as histograms, bar graphs, and scatterplots, and customize your plots with various themes and coloring options. The book also covers advanced visualization aspects such as creating interactive dashboards using Shiny By the end of the book, you will be equipped with key techniques to create impressive data visualizations with professional efficiency and precision.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...