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Web Application Development with R using Shiny - Second Edition, by Chris Beeley
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Key Features
- Use Shiny's built-in functions to produce engaging user interfaces, and integrate them into your own web pages
- Implement powerful user-contributed packages to access graphics from the web, make your own dashboards, use interactive maps, and more
- Extend Shiny using JavaScript and jQuery with minimal coding using this handy, step-by-step guide
R is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here comes Shiny to your rescue!
Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.
What you will learn- Build interactive applications using Shiny's built-in widgets
- Use the built-in layout functions in Shiny to produce user-friendly applications
- Integrate Shiny applications with web pages and customize them using HTML and CSS
- Harness the power of JavaScript and jQuery to customize your applications
- Engage your users and build better analytics using interactive plots
- Debug your applications using Shiny's built-in functions
- Deliver simple and powerful analytics across your organization using Shiny dashboards
- Share your applications with colleagues or over the Internet using cloud services or your own server
Chris Beeley works for Nottinghamshire Healthcare NHS Trust as the lead analyst and programmer for staff and patient experience. He uses a variety of open source tools (PHP/MySQL, Apache, R, Shiny, and Ubuntu) to collect, collate, analyze, and report on patient and staff experience throughout the organization. He was the author of the previous edition of this book.
He has been a keen user of R and a passionate advocate of open source tools in research and healthcare settings, having completed his PhD. He has made extensive use of R (and Shiny) to automate analysis and report on a new patient feedback website. This was funded by a grant from the NHS Institute for Innovation and made in collaboration with staff, service users, and carers within the Trust, particularly individuals from the Involvement Centre.
Table of Contents- Sales Rank: #213785 in Books
- Published on: 2016-01-29
- Released on: 2016-01-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .44" w x 7.50" l, .76 pounds
- Binding: Paperback
- 194 pages
About the Author
Chris Beeley
Chris Beeley works for Nottinghamshire Healthcare NHS Trust as the lead analyst and programmer for staff and patient experience. He uses a variety of open source tools (PHP/MySQL, Apache, R, Shiny, and Ubuntu) to collect, collate, analyze, and report on patient and staff experience throughout the organization. He was the author of the previous edition of this book. He has been a keen user of R and a passionate advocate of open source tools in research and healthcare settings, having completed his PhD. He has made extensive use of R (and Shiny) to automate analysis and report on a new patient feedback website. This was funded by a grant from the NHS Institute for Innovation and made in collaboration with staff, service users, and carers within the Trust, particularly individuals from the Involvement Centre.
Most helpful customer reviews
6 of 7 people found the following review helpful.
Web application development for R aficionados
By Oleg Okun
It may look a bit unusual to consider R as a language of web application development. However, Chris Beeley wrote this book where he disperses any doubts through a number of convincing examples, gradually rising in complexity. Of course, the basic R alone could not be responsible for this exploit: this is where Shiny comes to help (and to shine). Shiny is a web application framework for R allowing to convert data analysis carried out by R packages into interactive web applications without even knowing HTML, CSS, or JavaScript. Thus, R+Shiny can be a viable alternative to the traditional ways to develop web applications.
The book is useful for those who already knows R well, but never before tried Shiny and turning to another language is not an option. Numerous code examples guide a reader from creating the first minimal application to designing a complex interactive dashboard.
0 of 0 people found the following review helpful.
Overly complicated at times and incoherent
By R Brown
There are so many free datasets available on the web, I have no idea why this author chose create a project using google analytics, save yourself time and use the free videos on R Studio’s page or the tutorials on Safari Books.
2 of 4 people found the following review helpful.
Web-based R Applications by Shiny Package
By Pethuru Raj
Due to a series of humongous innovations and improvisations in the information and communication technology (ICT) domain, the amount of multi-structured data getting generated, captured, transformed, stocked, and subjected to a variety of investigations across industry verticals these days is growing exponentially. Considering the tremendous amount of data at hand, the mathematicians, statisticians, and data scientists need highly competent and cognitive tools and techniques to play around with all kinds of data to extract actionable insights to be shared with business executives, decision-makers, analysts, and researchers. Simply stating, the process of transitioning data into information and into knowledge is getting simplified and streamlined through a host of powerful languages, tools, and integrated platforms.
The R language is becoming a popular tool for the data-driven world. Google and Facebook are using the R language heavily in their day-to-day operations. Undoubtedly R is also the tool of choice for data scientists at Microsoft, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing and Finance departments. R is not only gaining its footprint in corporate corridors but also in academic institutions. Researchers are extensively using R language for their investigations. Data scientists need to gain the competency on data manipulation, data visualization, and machine learning. Implementing these in R is quite easy. The dplyr package in R makes data manipulation easy. Further on, ggplot2 is one of the best data visualization tools around. Similarly for machine learning, the contributions of R language are really immense. There are several books explaining the nitty-gritty of R towards the simplification of machine learning concepts.
RStudio is an IDE that makes R easier to use and more productive. RStudio combines a set of productivity tools into a single environment. Shiny makes it incredibly easy to build interactive web applications with R. Shiny has automatic “reactive” binding between inputs and outputs and extensive pre-built widgets. Shiny allows creating interactive web applications using the excellent analytical and graphical capabilities of R.
This book is full of practical examples and shows you how to write cutting-edge interactive content for the Web, right from a minimal example all the way to fully styled and extensible applications. This book includes an introduction to Shiny and R and takes you all the way to advanced functions in Shiny as well as using Shiny in conjunction with HTML, CSS, and JavaScript to produce attractive and highly interactive applications quickly and easily. It also includes a detailed look at other packages available for R, which can be used in conjunction with Shiny to produce dashboards, maps, advanced D3 graphics, among many things.
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