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Statistics - Interactive Dashboards & Web Apps using R & Shiny

1 & 2 July 2024

Royal Statistical Society

Summary

Price
£668.40 - £926.40 inc VAT
Study method
Online + live classes
Duration
2 days · Full-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
01/07/2024
02/07/2024

Overview

This course will introduce how to create interactive dashboards and web applications using R and Shiny. This is a two day course, being delivered on the 1 & 2 July 2024

Description

This course will introduce how to create interactive dashboards and web applications using R and Shiny. The first day will focus on the core components of a Shiny app; inputs, outputs and how to send data between the client and server. It will also cover how to design responsive webs applications that seamlessly work on mobile devices. By the end of the day you'll be able to design and deploy a Shiny app from your local machine to shinyapps.io.
The second day of the course will cover the following advanced topics:

  • Using reactive expressions to control when and where a Shiny app updates
  • Designing data-driven controls through the use of reactive expressions.
  • Embedding interactive charts/maps/tables using the following htmlwidget libraries; leaflet, highcharter and DT.
  • Allow users to download files/images from a Shiny app
  • Advice and guidance on structuring large/complex Shiny apps

Learning Outcomes

  • Confidently design user interfaces in Shiny with appropriately selected controls/inputs
  • Understand reactivity to effectively update outputs based on specific inputs
  • Design responsive Shiny apps that work on both desktop and mobile devices
  • Confidently embed htmlwidgets into Shiny apps and extract user interactions (click/touch)
  • Effectively structure your code in Shiny apps to simplify growing your app with additional content.

Topics Covered

R, Data Visualisation, Shiny, Data Presentation and Exploratory Data Analysis

Requirements

Familiarity with the R language is required as a number of fairly complicated concepts will be introduced in this course:

  • Reactive expressions

  • Controlling how data moves between the client and server

  • Deploying Shiny apps to the web

Questions and answers

Certificates

Certificate of Attendance

Digital certificate - Included

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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Similar subjects: Statistics, Maths
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