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Computer Science
Web Development
R and Shiny for Web Application Development
1. Introduction to R and Shiny
2. Fundamentals of R for Shiny
3. Core Concepts of a Shiny Application
4. Building the User Interface (UI)
5. The Server Logic and Reactivity
6. Enhancing User Experience and Design
7. Advanced Shiny Development
8. Debugging and Optimization
9. Deploying and Sharing Shiny Applications
8.
Debugging and Optimization
8.1.
Debugging Techniques
8.1.1.
Using browser()
8.1.2.
Using debug()
8.1.3.
Printing Values to the Console
8.1.4.
Using traceback()
8.1.5.
The reactlog Package for Visualizing Reactivity
8.2.
Profiling and Performance
8.2.1.
Identifying Performance Bottlenecks
8.2.2.
The profvis Package
8.2.3.
Measuring App Responsiveness
8.2.4.
Caching Outputs
8.2.4.1.
Using bindCache()
8.2.5.
Optimizing Data Processing
8.2.6.
Reducing UI Latency
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7. Advanced Shiny Development
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9. Deploying and Sharing Shiny Applications