• views: 160
• date: 27 August 2022
• posted by: voska89

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


Homepage

https://www.udemy.com/course/building-interactive-shiny-web-apps-with-r-programming/

   
   
   

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