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You're reading from Web Application Development with R Using Shiny Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

Product type Paperback

Published in Sep 2018

Publisher

ISBN-13 9781788993128

Length 238 pages

Edition 3rd Edition

Languages

Tools

Shiny

Concepts

Application Development

Authors (2):

Chris Beeley

Shitalkumar R. Sukhdeve

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Table of Contents (11) Chapters

Preface

1. Beginning R and Shiny

2. Shiny First Steps FREE CHAPTER

3. Integrating Shiny with HTML

4. Mastering Shiny's UI Functions

5. Easy JavaScript and Custom JavaScript Functions

6. Dashboards

7. Power Shiny

8. Code Patterns in Shiny Applications

9. Persistent Storage and Sharing Shiny Applications

10. Other Books You May Enjoy

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Running the applications and code

For convenience, I have gathered together all the applications in this chapter. The link to the live versions, as well as the source code and data, can be found on my website at chrisbeeley.net/website. If you can, run the live version first and then browse the code as you go through each example.

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Authors (2)

Chris Beeley

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.

See other products by Chris Beeley

Shitalkumar R. Sukhdeve

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.

See other products by Shitalkumar R. Sukhdeve