Course Outline
Introduction
Recognizing the Necessity of Integrating Web Development and Data Science
Shiny Overview
R Overview
HTML Overview
Exploring the Advantages of Combining Shiny, R, and HTML
Installing and Configuring the RStudio Platform
Installing the Shiny Package
Grasping and Applying Shiny Basics
Mastering the Fundamentals of Reactive Programming
Developing and Executing a Shiny Web Application: User Interface Component
Developing and Executing a Shiny Web Application: Server Component
Generating Plots in Shiny
Utilizing Reactive Expressions for Automatic Plot Updates in Shiny
Appreciating the Benefits and Implications of Reactive Plots in Data Science Applications
Personalizing App Appearance Using Shiny’s Built-In Functions
Modifying User Interface Code in R for HTML Customization
Summary and Conclusion
Requirements
- Basic proficiency in R programming
- Fundamental knowledge of HTML
Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.
