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 univariate colored dot plots with geom_dotplot()


Univariate dot plots account for very simple and very objective visualizations. They can represent either continuous or discrete variables and are a good way to display how small samples are distributed. These plots are also an alternative to histograms, specially when there is only very few observations.

For the this recipe, we're going to use continuous data in order to explain how to manage the binwidth parameter whenever calling for a ggplot2 dot plot. There are two things that are good to know about dot plots breed using ggplot2::geom_dotplot(). First thing is that these plots are very sensible to plot measures (height and width). Second is that the y-axis hardly is meaningful. Now let's get to know our data.

Getting ready

To demonstrate how to plot univariate dot plots using geom_dotplot(), the data to be used will come from the DAAG package. Data set name is anesthetic and it's telling if a patient moved (move) or not when an incision...