3D visualizations — GistiQ

What it's for

Customer segmentation by multiple parameters, multidimensional data analysis, scientific publications and dissertations, presentations with a wow effect.

Tools: Manim ThreeDScene, matplotlib 3D, Plotly 3D.

Output format

+MP4 with 360° camera rotation for full overview+PNG static angle for reports+Interactive HTML (Plotly 3D) — mouse rotation in browser

Example: 3D Scatter Plot — customer clustering

Three-dimensional space

Axes: purchase frequency (X), average order value (Y), LTV — lifetime value (Z). Result — clear highlighting of three segments: Red cluster — VIP customers with high order values and frequent purchases. Green cluster — "dormant" customers who were active but are no longer buying. Blue cluster — new customers who recently arrived, potential unclear. Applications: marketing campaign targeting, offer personalization, manager workload prioritization.

Industry applications

FinTech — borrower scoring: 3D Scatter with clusters of reliable and risky clients. RFM analysis — Recency, Frequency, Monetary
E-commerce — buyer segmentation by frequency, amount, and recency of purchases. ML clustering results visualization
SaaS — user analysis by activity, payments, and feature usage

3D Scatter Plot

What it shows: objects in 3D space with clustering and camera rotation. Business case: customer segmentation by three parameters simultaneously. RFM analysis — Recency, Frequency, Monetary. Multidimensional product analysis. ML clustering results visualization. Example: three clusters of 500 points each, color coding (red/green/blue), 360-degree camera rotation for full overview.