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

Introduction


R is a free open language and environment for statistical computing and graphics. It particularly gained wide popularity among scientists from different fields, journalists, and private companies. There are various reasons for thatopenness and gratuity may be couple of them. Also, R requires minimal programming background and has a vibrant online community.

From community, a bunch of useful graphical packages had come. This chapter covers basic aspects of three of them: ggplot2, plotly, and ggvis. The first one (ggplot2) has been there for a long time, is very mature, and is very useful to build non-interactive graphics.

Both plotly and ggvis are much younger packages, which can build interactive plots. Both are shiny compatible and can well address the matter of web applications. Beginning with installation and loading, this chapter goes all the way through explaining the basic framework of all those three packages, while demonstrating how to use ggplot2 primitives.