Data Visualization in Mixed Reality with Python
summary
Claim: augmented reality compensates human difficulty conceptualizing large numbers by mapping dollars to familiar scales. Demonstrations render Fortune 400 wealth as neighborhoods (Bezos ≈ $112B vs Manhattan rebuild ≈ $630B) and mountains as Empire State Building flights (Everest 8,848 m → 86-floor units), using a pipeline that is 50% Python (CSV/JSON, pandas, Blender Python SDK) then exported to Unity/C# for Hololens deployment, with live demos that largely work but require platform glue.
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