Shiny — Building Data-Driven Apps


Shiny — Building Data-Driven Apps

1. Introduction

Exegetic Analytics is a Data Science consultancy specialising in data acquisition and augmentation, data preparation, predictive analytics and machine learning. Our services are used by a range of industries from Education to Security, Food Delivery to Politics. Our consultants are based in Durban and Cape Town and we engage with clients all over the world. Our products and services are used by a multitude of industries including Aerospace, Education, Finance, Food and Transport.

Exegetic Analytics also offers training, with experienced and knowledgeable facilitators. Our courses focus on practical applications, working through examples and exercises based on real-world datasets.

All of our training packages include access to:

  • our online development environment and
  • detailed course material which participants will have continued access to even once the training has concluded.

For more information about what we do, you can refer to our website.

These are some of the companies who have benefitted from our trainning:

Take a look at our full list of courses to see what other training we have on offer.

Contact Us

If this proposal is of interest to you or you would like to hear more about what we do you can get in touch on or +27 73 805 7439.

2. Course Description

The Shiny package makes it easy to create interactive web applications using R.


Duration 2 days
Who should attend? The course is aimed at students, academics and professionals who want to build interactive web applications.
Objectives An interactive web application is a great way to allow people to interact with data. The conventional approach to developing such an application requires knowledge of a range of web development tools. However, the Shiny package makes it possible to easily build a web application using only R. This allows you to focus on the data and user experience.
Outcomes Participants will:

  • understand the structure of a Shiny application (UI and server);
  • be able to assemble an attractive UI;
  • understand reactivity and how the UI and server communicate with each other; and
  • know how to deploy a Shiny application.
Requirements Participants are assumed to have prior exposure to R, or at least to programming of some variety. Ideally participants should have completed the Data Wrangling and Visualisation modules.
  c("shiny", "rmarkdown", "DT", "devtools", "flexdashboard",
    "gapminder", "rticles", "shinydashboard", "shinythemes",
    "tidyverse", "tufte", "xaringan"),
  repos = ""

Return to our list of courses.

Course Outline

3. Course Outline

Day 1

  • What is Shiny?
    • Samples from App Gallery
  • Components of a Shiny app
    • Simple example
  • User Interface (UI)
    • Layouts
    • HTML formatting
    • Input controls
    • Panels and tabsets
  • Server
    • Rendering output: text, plots and tables
    • uiOutput() for dynamic UI elements
  • Reactivity
    • reactive()
    • isolate()
    • eventReactive()
    • reactiveValues()
  • Interactive Components
  • Debugging
  • Enhancements
    • CSS
    • Shiny themes
    • HTML widgets
    • Javascript

Day 2

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Training Philosophy

Our training emphasises practical skills. So, although you'll be learning concepts and theory, you'll see how everything is applied in the real world. We will work through examples and exercises based on real datasets.


All you'll need is a computer with a browser and a decent internet connection. We'll be using an online development environment. This means that you can focus on learning and not on solving technical problems.

Of course, we are happy to help you get your local environment set up too! You can start by following these instructions.


The training package includes access to
  • our online development environment and
  • detailed course material (slides and scripts).

Return to our list of courses.