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


This chapter will present some packages and functionalities that act as ggplot2 supplements. I may start by disclaiming that if a specific geometry, stat, or position is not presented by ggplot2, there might be very good reasons. Every single new functionality is opinionated before getting on board in order to prevent users from making really bad decisions.

Hardly ggplot2 had accidentally missed some kind of plot; it most probably choose to not incorporate some for user-safety purposes. That said, we are now sailing with no seat belts fastened. Think very carefully before applying any of the visuals that we're about to see. I shall confess though that these visuals are pretty amazing. You will learn how to craft zoom-facets, sina plots, and more cool stuff.