Web Application Development with R Using Shiny - Third Edition, published by Packt
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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

This is the code repository for Web Application Development with R Using Shiny, published by Packt.

Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

What is this book about?

Web Application Development with R Using Shiny helps you become familiar with the complete R Shiny package. The book starts with a quick overview of R and its fundamentals, followed by an exploration of the fundamentals of Shiny and some of the things that it can help you do. You’'ll learn about the wide range of widgets and functions within Shiny and how they fit together to make an attractive and easy to use application.

This book covers the following exciting features:

  • Harness the power of JavaScript to customize your applications
  • Build dashboards with predefined UI and layouts
  • Engage your users and build better analytics using interactive plots
  • Learn advanced code patterns to make your applications easy to write and maintain
  • Develop a full understanding of Shiny's UI functions to give you the power to build a wide variety of attractive applications

If you feel this book is for you, get your copy today!


Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

 <li>First bullet</li>
 <li>Second bullet</li>
 <li>Third bullet</li>

Following is what you need for this book: Web Application Development with R Using Shiny is for you if you are interested in creating compelling web applications and interactive data visualization over the web using Shiny. Programming experience with R is required.

With the following software and hardware list you can run all code files present in the book (Chapter 1-9).

Software and Hardware List

Chapter Software required OS required
1-8 R-3.0.1+, RStuio 1.1.456, Mac OS X 10.6 or higher, Ubuntu 12 or higher, Windows 7, 8.0, 8.1 or 10 (32-bit and 64-bit)
9 RStuio 1.1.456, Amazon AWS (EC2) Mac OS X 10.6 or higher, Ubuntu 12 or higher, Windows 7, 8.0, 8.1 or 10 (32-bit and 64-bit)

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

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Get to Know the Authors

Chris Beeley has been using R and other open source software for ten years to better capture, analyze, and visualize data in the healthcare sector in the UK. He is the author of Web Application Development with R Using Shiny. He works full-time, developing software to store, collate, and present questionnaire data using open technologies (MySQL, PHP, R, and Shiny), with a particular emphasis on using the web and Shiny to produce simple and attractive data summaries. Chris is working hard to increase the use of R and Shiny, both within his own organization and throughout the rest of the healthcare sector, as well to enable his organization to better use a variety of other data science tools. Chris has also delivered talks about Shiny all over the country.

Shitalkumar R. Sukhdeve is a senior data scientist at PT Smartfren Telecom Tbk, Jakarta, Indonesia. On his career journey, he has worked with Reliance Jio as a data scientist, entrepreneur, and corporate trainer. He has trained over 1,000 professionals and students and has delivered over 200 lectures on R and machine learning. Research and development in AI-driven self-optimizing networks, predictive maintenance, optimal network quality, anomaly detection, and customer experience management for 4G LTE networks are all areas of interest to Shitalkumar. He is very experienced with R, Spark, R Shiny, H2O, Python, KNIME, the Hadoop ecosystem, MapReduce, Hive, and configuring the open source R Shiny server for machine learning models and dashboard deployment.

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