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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

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

Certificates

Certificate of Attendance

Digital certificate - Included

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

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2024. All rights reserved.