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R Data Visualization Recipes

You're reading from R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

Product type Book

Published in Nov 2017

Publisher Packt

ISBN-13 9781788398312

Pages 366 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Author (1):

Vitor Bianchi Lanzetta

View More author details

Table of Contents (19) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Installation and Introduction FREE CHAPTER

2. Plotting Two Continuous Variables

3. Plotting a Discrete Predictor and a Continuous Response

4. Plotting One Variable

5. Making Other Bivariate Plots

6. Creating Maps

7. Faceting

8. Designing Three-Dimensional Plots

9. Using Theming Packages

10. Designing More Specialized Plots

11. Making Interactive Plots

12. Building Shiny Dashboards

Introduction

Web applications and related interactive visuals are growing in importance nowadays and shiny certainly is the way to roll. It's not difficult to build web applications and interactive dashboards from your R console using shiny. Web applications can be enhanced with CSS themes, HTML widgets, and JavaScript actions.

This chapter aims to introduce the reader to the ways of crafting custom web applications and dashboards using shiny and shinydashboard. In this chapter, we reinforce a point: how the interactivity figures bred by plotly go well with shiny interactivity. Let's begin with the installation and loading.

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Authors (1)

Vitor Bianchi Lanzetta

Vitor Bianchi Lanzetta

Vitor Bianchi Lanzetta (@vitorlanzetta) has a master's degree in Applied Economics (University of So PauloUSP) and works as a data scientist in a tech start-up named RedFox Digital Solutions. He has also authored a book called R Data Visualization Recipes. The things he enjoys the most are statistics, economics, and sports of all kinds (electronics included). His blog, made in partnership with Ricardo Anjoleto Farias (@R_A_Farias), can be found at ArcadeData dot org, they kindly call it R-Cade Data.

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