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by Chris Beeley

  • ISBN: 1782174346
  • Category: Technology
  • Author: Chris Beeley
  • Subcategory: Programming
  • Other formats: docx doc docx doc
  • Language: English
  • Publisher: Packt Publishing - ebooks Account; 2 edition (January 29, 2016)
  • Pages: 194 pages
  • FB2 size: 1584 kb
  • EPUB size: 1415 kb
  • Rating: 4.3
  • Votes: 918
Download Web Application Development with R using Shiny - Second Edition fb2

Web Application Development with R using Shiny.

Web Application Development with R using Shiny. Kishor Kumar Das. R Data Science Essentials.

Start by marking Web Application Development with R Using Shiny as Want to Read .

Start by marking Web Application Development with R Using Shiny as Want to Read: Want to Read savin. ant to Read.

Shiny allows creating interactive web applications using the excellent analytical and graphical capabilities of R. This . This is a useful book to learn to use R with shiny. Shiny is based on bootstrap. 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. Shiny is a helpful tool for designers and data scientists to communicate with developers.

If you are a data scientist who is not also a web developer, and have been using R for data analyses already, Shiny Server is a fantastic new package that will enable you to quickly put together great looking web dashboards with all the power of R at your fingertips. I learned about Shiny late in 2012 and started using it regularly early last year. As I have noted previously Shiny may prove to be central in thinking about deployment of analytics.

Publisher: Packt Publishing. Release Date: January 2016. 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.

minimal coding using this handy, step-by-step guideWho This Book Is. .Most of the applications built using various libraries with R are desktop-based.

Most of the applications built using various libraries with R are desktop-based. Here comes Shiny to your rescue!Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R.

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. 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

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 Center. This book will guide you through . Web Application Development with R Using Shiny.

Chris Beeley has been using R and other open source software for ten . He is the author of Web Application Development with R Using Shiny.

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 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. Get a paperback copy of the book delivered to you. Download this book in EPUB, PDF, MOBI formats. DRM FREE - read and interact with your content when you want, where you want, and how you want.

Key FeaturesUse Shiny's built-in functions to produce engaging user interfaces, and integrate them into your own web pagesImplement powerful user-contributed packages to access graphics from the web, make your own dashboards, use interactive maps, and moreExtend Shiny using jаvascript and jQuery with minimal coding using this handy, step-by-step guideBook Description

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 learnBuild interactive applications using Shiny's built-in widgetsUse the built-in layout functions in Shiny to produce user-friendly applicationsIntegrate Shiny applications with web pages and customize them using HTML and CSSHarness the power of jаvascript and jQuery to customize your applicationsEngage your users and build better analytics using interactive plotsDebug your applications using Shiny's built-in functionsDeliver simple and powerful analytics across your organization using Shiny dashboardsShare your applications with colleagues or over the Internet using cloud services or your own serverAbout the Author

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 ContentsGetting Started with R and Shiny!Building Your First ApplicationBuilding Your Own Web Pages with ShinyTaking Control of Reactivity, Inputs, and OutputsAdvanced Applications I – DashboardsAdvanced Applications II – Using jаvascript Libraries in Shiny ApplicationsSharing Your Creations
Reviews about Web Application Development with R using Shiny - Second Edition (7):
Ochach
I can tell that the authors really know what they are talking about but their examples are terrible. They could have made this a 5-star book if they really thought about the examples in the book. The data that is used has no context to the average person.
Lucam
One of the worst books for learning Shiny. Most of the code is not in the book, you need to acquire separately, leaving very basic and useless examples in the text. Better to just learn from videos posted for free on the RStudio web site.
Thorgaginn
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.
SlingFire
Don't buy. Exceptionally bad book. It looks like the author didn' read his own draft. Full of errors.
Talrajas
Very clear
Gralmeena
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.
Bad Sunny
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.
This is a useful book to learn to use R with shiny. Shiny is based on bootstrap. Shiny is a helpful tool for designers and data scientists to communicate with developers. Give it a try.

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