R, Python, and Tableau: A Love Triangle

on YouTube ↗16m

" summary

A working pipeline demonstrates Tableau sending live data to REST endpoints that train and score random forest models (ranger/scikit‑learn), returning residual plots and predictions into the dashboard in real time. Implementations use plumbertableau for R and FastAPITableau for Python, hosted on RStudio Connect which uniquely supports R and Python extensions together. A Shiny‑based extension (shinytableau) produces custom visuals; the examples are published and verifiable on GitHub.

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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