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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

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction 2. Plotting Two Continuous Variables FREE CHAPTER 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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