
Explore the basic shiny template and its server, input, output, and session components, along with user interface concepts, sliders, plots, and deployment naming conventions.
Discover how to plan shiny app layouts that balance analytics with visuals, using fluid pages and a sidebar layout to create responsive, professional dashboards in R.
Learn how shiny translates your user interface into HTML and use direct tags, with tags, and the text dollar sign prefix to build R Shiny apps with HTML tags.
Publish and share Shiny apps by deploying to Shiny apps.io or your own server, ensuring R and Shiny are available on the server and testing locally across viewers and browsers.
Explore how to make Shiny plots responsive to user input with brush and click selections, linking interactive plots to tables using brushed points and nearPoints.
Explore the shiny gallery for use cases to build advanced shiny apps. Learn about interactive visualizations, widgets, layouts, reactive programming, and accessing underlying code or GitHub resources.
Create a three-tab shiny interface with sliders, a brush-enabled plot, and a data table plus download button, all styled with the sandstone theme and integrated documentation iframe.
R shiny allows you to present your data interactively – that means your app users can:
App users can do all of this without any R knowledge. You do the coding, your users get the info they are looking for!
In this course I will show you step by step how to master R Shiny. We will start out with the general shiny script – all scripts should have the same basic structure.
You will then learn how to make your app interactive by using input widgets. These features take user inputs which can be used to generate or modify the app content.
You will learn how to style your app for an appealing layout.
I will also show you how to use HTML tags to integrate or embed standard web content like youtube videos, pdfs, text, pictures and much more.
After that you will learn about advanced shiny apps that allow zooming and downloading
And you will learn how to integrate tables.
This course is not just pure theory. The last section is all about applying your new shiny skills. I prepared a course project which combines all the topics discussed in the course and more. This project is modeled after a real world financial app. You will get the project description and the raw data to test your skills.
Note that this course requires basic R skills. If you are totally new to R, check out some R intro material first and then revisit the course.
All the software downloads, add on packages as well as entry level hosting for shiny are totally free. I will show you what you need and where to get it. That includes hosting as well.
Take a look at shiny – your boss, colleagues, students, customers will be astonished what modern day data visualization can do.