R, Python, and Tableau: A Love Triangle

on YouTube ↗16m

" summary

Tableau dashboards send data to real random forest models built with ranger in R and scikit-learn in Python, served as APIs using plumbertableau and FastAPITableau, returning residuals and predictions that update live in the workbook. Extensions and a Shiny-based visual (density plot) are published and tested on RStudio Connect, which uniquely hosts R and Python extensions side by side. Example data is song attributes across genres and the integration demonstrably executes and visualizes results in real time.

AI-written summary · about

" chapters (12)

1. 0:00Introduction
2. 1:37Tool integration analogy
3. 3:00Tableau dashboard basics
4. 3:43ML with R and Python
5. 5:49Tableau extensions in R
6. 6:30Tableau extensions in Python
7. 7:13Hosting on RStudio Connect
8. 8:36Using extensions in dashboards
9. 9:59Dashboard components combined
10. 11:45Custom shinytableau visuals
11. 13:31Configuring shinytableau
12. 14:56Summary

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