R Weekly Highlights Issue 2024-W51 Highlights
Dec 18, 2024
Dive into the evolution of asynchronous programming techniques to enhance Shiny apps, making your coding more efficient. Explore a century-old mathematical puzzle that could revolutionize algorithms solvable in R. Get hands-on with Advent of Code challenges, utilizing the data.table package for innovative solutions. Discover a unique analysis of Lime Bike usage in London, showcasing cutting-edge data visualization techniques. And don’t miss the call for community contributions as the host reflects on the year and looks ahead!
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Transcript
Episode notes
Asynchronous Programming in Shiny
- Asynchronous programming and parallel computing can significantly boost Shiny app performance.
- Consider these techniques to improve user experience and reduce response times.
Parallel Computing with Future
- Parallel computing excels with independent group analysis, like processing data for different countries.
- Use the 'future' package ecosystem for efficient parallel computation in R.
Cran Whales App Example
- Joe Cheng showcased Shiny app optimization with 'future' and 'promises' in his Cran Whales app.
- This demonstrated how asynchronous tasks can improve the user experience in Shiny apps.