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Building Interactive Shiny Web Apps with R Programming

Name: Building Interactive Shiny Web Apps with R Programming
Rating: 4.4 (17 reviews)

Learn how to build simple to complex web apps using the Shiny framwork in R

Created byRidwan Suleiman Adejumo

Last updated 3/2026

English

English [Auto],

What you'll learn

Understand the two basic components that makes a Shiny App: User Interface and the Server Side.
Learn how to connect and exchange information between these components.
Build Interactive Shiny Apps.
Publish your App on the web for the world to see.

Course content

7 sections • 30 lectures • 1h 55m total length

Course Overview0:39
Learn to build interactive web apps with the Shiny framework in R, turning data analyses into dashboards and sharing insights with just a few lines of code.
Installing and Loading Shiny1:30
In this lecture you will be shown how to install the Shiny framework and also load in on R

Section Overview0:45
Build a simple Shiny web app that lets users select a dataset, shows its summary and data table, and practice creating the user interface and server-side logic.
Setting up the Shiny App Directory5:28
In this lecture you will be shown how to set up your R Shiny Project
User Interface8:28
In this lecture I talk about how to build the user interface of the Shiny App
Server Side10:16
In this lecture, I talk about how to control the behaviours of the web app from the server side.
Reactive Expressions7:05
In this lecture you will learn about reactive expressions and how to use them in R Shiny
Exercises

Section Overview0:19
Explore Shiny input functions that capture user data for server-side computation, including value inputs and choice-based selections.
Text Inputs6:45
Learn to implement text inputs, passwords, and text areas in Shiny apps, configure IDs, labels, default values, width, height, and placeholders for clear user input.
Numeric Inputs3:39
Explore numeric inputs and sliders in Shiny to collect typed numbers or slide selections, with input id, label, min, max, step, and default values that feed server-side calculations.
Date Inputs1:54
Learn to implement date inputs in Shiny apps, using input IDs, labels, and default values with optional min and max dates, plus date range inputs to select spans.
Limited Choices Inputs4:07
Explore limited choices inputs in Shiny: define input IDs, labels, and choices for select, radio, and checkbox options, including checkbox group behavior and default true/false values.
File and Action Button Inputs1:36
Exercise1:06
Design a shiny app web form that collects name and surname, values via arrows, calendar dates, asset choices with radio buttons, text inputs, image uploads, and a submit button.
Solution0:13

Section Overview0:30
Explore how output functions connect the server and the user interface, declare output variables on the server, and render server-generated outputs in the UI.
textOutput() and renderText()4:10
Learn how textOutput and renderText link the server and user interface to display dynamic text. Build outputs by referencing UI IDs and updating in real time as inputs change.
verbatimTextOutput() and renderPrint()1:09
Explore verbatimTextOutput and the renderPrint function in shiny to display code output rather than plain text. Compare renderPrint with text output for logging computations.
plotOutput() and renderPlot(), tableOutput() and renderTable()1:54
Explore how to display plots and tables in a Shiny web app using plotOutput, renderPlot, tableOutput, and renderTable, linking UI and server-side data to create interactive outputs.

Section Overview0:30
I give a brief description of what we will be building at the end of this section.
IMDB Movie Dataset4:05
This lecture covers a brief explanation of the IMDB dataset to be used in building the Movie Explorer
Page Setup1:52
In this lecture, you will be setting up the page of the Movie Explorer
Sidebar and Main Panel12:11
We develop the sidebar and main panel in this lecture
Filtering with "dplyr" package5:50
Learn how to filter a dataset with the "dplyr" package.
Movie Explorer Server Side5:34
In this lecture, we build the server side of the movie explorer.
Exercise

Requirements

Basic Understanding of R Programming such as variables, functions and R data structures

Description

If this is your first time using Shiny, welcome!

An R program called Shiny makes it simple to build dynamic, rich web applications.

You may use Shiny to take your R work and make it accessible to the public via a web browser.

Shiny makes you appear good by making it simple to

create beautiful web apps with the least amount of effort.

Most R users before found it challenging to create web apps because of the need to understand web technologies such as HTML, CSS, and JavaScript

Complex interactive apps need rigorous interaction flow analysis

to ensure that only the associated outputs update when an input changes.

Shiny makes it much simpler for R programmers to develop web applications by:

supplying a well-selected group of user interface (UI) methods

that provides the HTML, CSS, and JavaScript required for typical jobs

This implies that until you wish to move beyond the fundamentals that Shiny provides for you,

you don't need to be familiar with the specifics of HTML, CSS, or JavaScript.

Shiny enables you to:

Make dashboards that track crucial high-level performance

Switch to interactive apps that let users jump to the precise section of the results they have an interest in.

Use educational visualizations to explain complex models to a non-technical audience.

Who this course is for:

Data Analyst/Data Scientists who want to use R to showcase their analysis
Data Analyst/Data Scientists who don't have any knowledge of HTML, CSS and Javascript and want to build a web app
Students/Researchers
Beginner R Programmers

Building Interactive Shiny Web Apps with R Programming

What you'll learn

Explore related topics

Course content

Getting Started2 lectures • 2min

Building Your First Web App5 lectures • 32min

Input Functions8 lectures • 20min

Output Functions4 lectures • 8min

BMI Calculator4 lectures • 21min

IMDB Movie Explorer6 lectures • 30min

Publishing Your App1 lecture • 2min

Requirements

Description

Who this course is for: