🧪 Data Science Data Mining Simulation

This simulation introduces the core techniques of data mining and data warehousing by rendering a real OLAP cube in 3D: a Product × Region × Time grid of unit-sales cells, each colored and sized by its value. Roll up from monthly to quarterly granularity and watch quarterly totals get recomputed live from the underlying months under whichever aggregation function you pick — SUM, AVG, MAX or MIN — then drill back down to see the raw monthly detail. Slice the cube along any one dimension to isolate a 2-D cross-section, or dice it by hiding every cell below a value threshold, and watch the live aggregate readout recalculate over exactly the cells still on screen. It's the same slice/dice/roll-up/drill-down vocabulary and aggregation math that real OLAP engines use to pre-summarize data for fast analytical queries.