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Using mstrio in action - Predicting bus lateness


Peter Ott

Product Specialist • Strategy


This demo uses an API as a data source to track buses in a MicroStrategy Dossier and predict whether a bus will be late or on time.

Starting with the release of Strategy ONE (March 2024), dossiers are also known as dashboards.
The new mstrio Python package makes it easy to use an API as a data source and analyze your data in a Strategy Dossier.  In this demo, near real-time data is being pulled from transit buses via a public API into Python.  A Random Forest Algorithm is then applied using scikit-learn to predict whether a bus will be on time or late to its next destination.  The results set is then sent to Strategy using the mstrio Python package and visualized in a Strategy Dossier.  
 

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Published:

October 30, 2018

Last Updated:

March 21, 2024