Web Application Development with R Using Shiny Second Edition: Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web , Second Edition

Chris Beeley

€32.99

3.5 (10 Ratings)

Paperback Jan 2016 194 pages 2nd Edition

Chris Beeley

€32.99

3.5 (10 Ratings)

Paperback Jan 2016 194 pages 2nd Edition

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Key benefits

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

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.

Who is this book for?

This book is for anybody who wants to produce interactive data summaries over the web, whether you want to share them with a few colleagues or the whole world. No previous experience with R, Shiny, HTML, or CSS is required to begin using this book, although you should possess some previous experience with programming in a different language.

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

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What do you get with Print?

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Frequently bought together

€32.99

€32.99

Mastering RStudio: Develop, Communicate, and Collaborate with R

€41.99

Total € 107.97

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Amazon verified reviews

Jamshed Bharucha Jun 23, 2016

Very clear

Amazon Verified review

Oleg Okun Feb 16, 2016

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.

Oscar Jun 11, 2019

Excelente libro

Pethuru Raj Mar 12, 2016

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.

Don't be afraid Nov 25, 2018

good and helpful

Web Application Development with R Using Shiny Second Edition: Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web , Second Edition

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