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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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Author (1):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Table of Contents (19) Chapters Close

Learning Shiny
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
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

Problem presentation


Let's imagine that our client or boss comes to us and says that they want us to develop an interactive web application in Shiny for Adult data source. They expect from us a fully functional first version and leaves, in principle, everything in our hands (including design definitions).

Once we have the dataset (or any link to it), the most sensible thing to do will be to take a look at the documentation if there is one. In this case, we have https://archive.ics.uci.edu/ml/datasets/Adult and https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.names. These web pages contain summarized context information, the different variables names, and their possible values.

Although it might sound trivial, client briefs, documentations, context information, and so on are very useful pieces of information for our applications, as they will give us insights on how the source of information that we have to work on was generated and what purpose did it pursue. In this sense...

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