Web Application Development with R Using Shiny,3rd Edition


Web Application Development with R Using Shiny:Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics,3rd Edition
Authors:Chris Beeley - Shitalkumar R. Sukhdeve
ISBN-10 书号:1788993128
ISBN-13 书号:9781788993128
Edition 版次:3rd Revised edition
Release Finelybook 出版日期:2018-10-09
pages 页数:238 pages

Publisher Finelybook 出版社:Packt
Book DescriptionWeb 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.
Once you have understood the basics,you'll move on to studying more advanced UI features,including how to style apps in detail using the Bootstrap framework or and Shiny's inbuilt layout functions.
You'll learn about enhancing Shiny with JavaScript,ranging from adding simple interactivity with JavaScript right through to using JavaScript to enhance the reactivity between your app and the UI.
You'll learn more advanced Shiny features of Shiny,such as uploading and downloading data and reports,as well as how to interact with tables and link reactive outputs. Lastly,you'll learn how to deploy Shiny applications over the internet,as well as and how to handle storage and data persistence within Shiny applications,including the use of relational databases.
By the end of this book,you'll be ready to create responsive,interactive web applications using the complete R (v 3.4) Shiny (1.1.0) suite.
Contents
1:BEGINNING R AND SHINY
2:SHINY FIRST STEPS
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
What You Will Learn
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.
Store data and interact with databases with Shiny.
Learn how to share your Shiny applications
Understand reactivity at the conceptual level to build more efficient and robust apps
Authors
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.
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.

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