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

Wrapping a custom theme function


After using ggplot2 and performing theme changes several times, there are always theme tweaks you find yourself going for too often. This recipe goal is to demonstrate how to wrap theme functions into tailormade ones. Wrapping your preferences in a single function makes the process of crafting publish quality plots so much easier.

Getting ready

This recipe will test the custom theme function in the bubble object created by previous recipe, Drawing a bubble plot. If you wish to keep this way, make sure to have this object on your environment by running the recipe if it's missing. Another option is to draw an gg object of your own to replace bubble into the recipe. Do as you please.

How to do it...

Let us start with wrapping a custom theme function:

  1. Create a function that calls for theme():
> theme_custom <- function(s.legend1 = 14, 
                          s.legend2 = 14,
                          s.axes1 = 14, 
                          s.axes2 = 15, ....