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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
Languages
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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Toc

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

Summary

This chapter closes this introductory book to Shiny. Not only did it explain how to code an application from scratch, but also showed what the entire process is about. It does not make much sense to possess perfect programming skills when it comes to these kinds of applications and have no idea about the need that that the application is supposed to fulfill.

This chapter is conceived in the same way as the whole book is. It is not just coding that makes a good application developer, but it is also about thinking of the problem as a whole and consequently of the application as a tool for users with no technical knowledge (that is, the vast majority of the users) to unveil insights about the data they are analyzing. In the end, data visualization is just communication.

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