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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
Languages
Tools
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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

Building a shiny dashboard

Your shiny web application can be drawn as a dashboard. Translating a column shiny app to a dashboard version requires only small amounts of effort when you have the shinydashboard package installed. This recipe's goal is to introduce you to how to combine shiny and shinydashboard packages to design a web application within the dashboard format.

Getting ready

Besides plotly, Ecdat, and dplyr packages, we will also need the shinydashboard package:

if(!require(shinydashboard)){install.packages('shinydashboard')}
if(!require(plotly)){install.packages('plotly')}
if(!require(Ecdat)){install.packages('Ecdat')}
if(!require(dplyr)){install.packages(&apos...
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