Building Interactive Shiny Web Apps with R Programming

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Ridwan Adejumo Suleiman

1:55:00

7 View

1 - Getting Started

1 - Course Overview.mp4

00:39

1 - Course Repository.txt

2 - Installing and Loading Shiny.mp4

01:30

2 - Building Your First Web App

1 - Exercises.html

3 - Section Overview.mp4

00:45

4 - Setting up the Shiny App Directory.mp4

05:28

5 - User Interface.mp4

08:28

6 - R Shiny Cheatsheet.txt

6 - Server Side.mp4

10:16

7 - Reactive Expressions.mp4

07:05

7 - R Shiny Cheatsheet.txt

3 - Input Functions

8 - Section Overview.mp4

00:19

9 - Text Inputs.mp4

06:45

10 - Numeric Inputs.mp4

03:39

11 - Date Inputs.mp4

01:54

12 - Limited Choices Inputs.mp4

04:07

13 - File and Action Button Inputs.mp4

01:36

14 - Exercise.mp4

01:06

15 - Solution.html

4 - Output Functions

16 - Section Overview.mp4

00:30

17 - textOutput and renderText.mp4

04:10

18 - verbatimTextOutput and renderPrint.mp4

01:09

19 - plotOutput and renderPlot tableOutput and renderTable.mp4

01:54

5 - BMI Calculator

2 - Exercise.html

20 - Section Overview.mp4

00:45

21 - BMI User Interface.mp4

13:04

22 - BMI Function.mp4

02:17

23 - BMI Calculator Code Repository.txt

23 - BMI Server Side.mp4

05:05

6 - IMDB Movie Explorer

3 - Exercise.html

24 - Section Overview.mp4

00:30

25 - IMDB Movie Dataset.mp4

04:05

26 - Page Setup.mp4

01:52

27 - Sidebar and Main Panel.mp4

12:11

28 - Filtering with dplyr package.mp4

05:50

28 - dplyr package cheatsheet.txt

29 - Movie Explorer Server Side.mp4

05:34

7 - Publishing Your App

30 - Publishing Your App.mp4

02:27

Description

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

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.

Who is this 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

What You Need to Know?

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

More details

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

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R Programming

Ridwan Adejumo Suleiman

Instructor's Courses

Adejumo Ridwan Suleiman is a Software Engineer passionate about sharing his knowledge with the world. He is the founder of Ankabut Labs an educational learning centre and a software development agency, and is currently a technical writer at freeCodeCamp.He has years of experience using data and web technologies in various aspects of technology and is willing to share his experiences with interested minds. He is a proud generalist with a Bachelor's degree in Statistics and is currently working as a Biostatistician in Federal Teaching Hospital, Gombe, Nigeria.

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