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Video
How to use pins + Shiny for ever-changing data
Isabella Velásquez demonstrates a streamlined workflow for handling frequently updated datasets in Shiny. You'll see how to simplify your process for keeping dynamic data current and how to reflect those changes in your app or dashboard.
Data science hangout
Sharon Machlis
Join us with Sharon, long-time tech journalist & data professional recently retired from Computerworld...
Data science hangout
Jason Foster
Join us with Jason Foster, an experienced risk manager at both large and small...
Data science hangout
Acacia Duncan and Blythe Coons
Join us with Acacia Duncan and Blythe Coons from Articulation, the company who have...
Data science hangout
Shannon Pileggi
Join us with Shannon at The PCCTC to chat about building reporting workflows for...
Data science hangout
Kshitij Srivastava
Join us with Kshitij at Milliman to chat about data platform modernization at insurance...
Data science hangout
Ning Leng & Jing Huang
Join us with Ning at Roche-Genentech and Jing at Veracyte to chat about embedding...
Data science hangout
Adam Husein
Join us with Adam at Firebird to chat about using data and analytics to...
Video
Predicting Lending Rates with Databricks, tidymodels, and Posit Team
Garrett Grolemund at Posit shows how to use both Posit and Databricks to apply machine learning methods to the consumer credit market, where accurately predicting lending rates is critical for customer acquisition.