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Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Tools
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Table of Contents (13) Chapters Close

Preface 1. Introducing R, RStudio, and Shiny FREE CHAPTER 2. First Steps towards Programming in R 3. An Introduction to Data Processing in R 4. Shiny Structure – Reactivity Concepts 5. Shiny in Depth – A Deep Dive into Shiny's World 6. Using R's Visualization Alternatives in Shiny 7. Advanced Functions in Shiny 8. Shiny and HTML/JavaScript 9. Interactive Graphics in Shiny 10. Sharing Applications 11. From White Paper to a Full Application Index

Preface

R is a growing language that is gaining more and more space among data scientists. With over 7,000 packages, you can cover every stage within R: from data extraction, cleansing, and processing to advanced analysis, modelling, or visualization. In this context, Shiny is the tool that will take your R code to the next level, as you will be able to share all your outcomes with anyone through a dynamic web application. Shiny is not just a dashboard tool, but it is the gateway to unveiling hidden facts about data, even for nonexpert users. In other words, developing a Shiny application is like providing access to the R universe.

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