Uploaded May 2023 | Updated September 2026, 2 weeks ago
About the talk:
The greatest strength of Shiny is how it quickly it lets you go from an idea to a working prototype. Once you have a working interactive webpage, you can immediately understand what parts of your idea are sound and which don’t work in practice. But the downside of this is you may end up with many half completed Shiny apps that are interesting, but for engineering or product design reasons never got released.
This talk will cover several fascinating, bizarre, and peculiar Shiny apps* ideas I had, why I thought they were interesting but unlaunchable, and how the prototyping process in Shiny helped me along the way.
Speaker's bio:
Dr. Jacqueline Nolis is a data science leader with 15 years of experience in running data science teams and projects at companies ranging from Airbnb to Boeing. Jacqueline R expertise includes deploying R into production systems and neural networks in R. For fun, Jacqueline likes to use data science for humor—like using deep learning to generate offensive license plates.
About the talk:
The greatest strength of Shiny is how it quickly it lets you go from an idea to a working prototype. Once you have a working interactive webpage, you can immediately understand what parts of your idea are sound and which don’t work in practice. But the downside of this is you may end up with many half completed Shiny apps that are interesting, but for engineering or product design reasons never got released.
This talk will cover several fascinating, bizarre, and peculiar Shiny apps* ideas I had, why I thought they were interesting but unlaunchable, and how the prototyping process in Shiny helped me along the way.
Speaker's bio:
Dr. Jacqueline Nolis is a data science leader with 15 years of experience in running data science teams and projects at companies ranging from Airbnb to Boeing. Jacqueline R expertise includes deploying R into production systems and neural networks in R. For fun, Jacqueline likes to use data science for humor—like using deep learning to generate offensive license plates.
