Building Interactive Shiny Web Apps With R Programming

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.
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 tocreate 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 JavaScriptComplex interactive apps need rigorous interaction flow analysisto 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) methodsthat provides the HTML, CSS, and JavaScript required for typical jobsThis 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 performanceSwitch 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.

Overview

Section 1: Getting Started

Lecture 1 Course Overview

Lecture 2 Installing and Loading Shiny

Section 2: Building Your First Web App

Lecture 3 Section Overview

Lecture 4 Setting up the Shiny App Directory

Lecture 5 User Interface

Lecture 6 Server Side

Lecture 7 Reactive Expressions

Section 3: Input Functions

Lecture 8 Section Overview

Lecture 9 Text Inputs

Lecture 10 Numeric Inputs

Lecture 11 Date Inputs

Lecture 12 Limited Choices Inputs

Lecture 13 File and Action Button Inputs

Lecture 14 Exercise

Lecture 15 Solution

Section 4: Output Functions

Lecture 16 Section Overview

Lecture 17 textOutput() and renderText()

Lecture 18 verbatimTextOutput() and renderPrint()

Lecture 19 plotOutput() and renderPlot(), tableOutput() and renderTable()

Section 5: BMI Calculator

Lecture 20 Section Overview

Lecture 21 BMI User Interface

Lecture 22 BMI Function

Lecture 23 BMI Server Side

Section 6: IMDB Movie Explorer

Lecture 24 Section Overview

Lecture 25 IMDB Movie Dataset

Lecture 26 Page Setup

Lecture 27 Sidebar and Main Panel

Lecture 28 Filtering with "dplyr" package

Lecture 29 Movie Explorer Server Side

Section 7: Publishing Your App

Lecture 30 Publishing Your App

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