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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 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

Creating basic shiny interactive plots

The previous recipe taught you how to install and load shiny, as well the basics of crafting and running a shiny app. This one introduces how to draw a basic interactive shiny plot (it's actually a shiny web app though). To do that, we shall demonstrate how to manipulate input and output while also taking advantage of plotly's interactivity.

Getting ready

Besides shiny, we also need three more packages, as follows:

> if(!require(plotly)){install.packages('plotly')}
> if(!require(Ecdat)){install.packages('Ecdat')}
> if(!require(dplyr)){install.packages('dplyr')}

The plotly package will be used to draw the plots, Ecdat&...

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