OmniData.3D Visual Intelligence
Upload data. Explore it in 3D. Ask AI what it means.
Column Inspector & Descriptive Summaries
Click column for full distribution statsDimension Mapping & Spatial Attribute Builder
Dataset Filter Engine
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VERIFIED FACTS FIRSTDeterministic calculations performed locally before natural language interpretation.
Statistical Findings & Grounded AI Narrative
VERIFIED LOCAL ENGINE + GEMINIMulti-variable statistical profiling, IQR outlier fences, and correlation discovery
This planetary geospatial model maps infectious transmission indicators and vaccination densities across global coordinates. Heightened vertical spikes correlate with high localized case volumes, while international orbital arcs delineate major transit corridors.
Engineering Highlights & System Architecture
Statistical Engine
Built a pure TypeScript client-side statistical profiling engine with IQR anomaly detection (lower/upper fences) and Pearson correlation coefficient calculation. Zero dependency on black-box heuristics.
AI Grounding Architecture
AI insights and Q&A operate on pre-computed local statistical facts and aggregations. The LLM acts as an executive interpreter rather than a hallucinated source of numerical truth.
WebGL Performance
Optimized Three.js rendering using instanced geometries, memoized vector coordinates, throttled raycasting, and strict lifecycle disposal to prevent memory leaks.
Multi-Modal Analytics
Seamlessly transition between 3D spatial exploration, 2D analytical charts, and exact tabular data with synchronized filtering and dimension mapping.
OmniData.3D — WebGL Spatial Engineering & Multi-Dimensional Analytics
How does OmniData.3D render 3D planetary Earth globes with sub-millisecond precision?
OmniData.3D harnesses Three.js WebGL canvas acceleration to dynamically compute geographic spherical polar coordinates (Phi and Theta) for latitude and longitude pairs. Geographic beacon spikes and quadratic Bezier flight path curves are projected onto high-resolution procedural continent textures with zero external satellite tile latency.
What graph algorithms power the 3D Network Topology visualizer?
The Network Graph projection calculates spherical lattice distribution and gravitational clustering for venture syndicates, tech ecosystems, and relational nodes. Node radii correlate directly with asset scale and entity tier, while 3D edge lines visualize co-investment flows and API interconnections.
How does the 3D Isometric Voxel Bar Grid represent multi-region datasets?
The 3D Isometric Bar Grid establishes a dual-axis coordinate plane (e.g. Cloud Regions along the X-axis and Fiscal Quarters along the Z-axis). Box mesh pillars elevate proportionally to recurring revenue and compute density, highlighted by crisp neon top-cap frames and a 3D floor grid.
Can users upload their own custom enterprise CSV or JSON datasets?
Yes. OmniData.3D includes a client-side CSV parser and an intelligent ingestion pipeline. Gemini 1.5 Flash automatically infers column types, normalizes numeric and categorical dimensions, detects anomalies, and generates spatial camera paths for your uploaded data.
How are WebM videos and high-resolution PNG snapshots exported from the WebGL canvas?
Snapshots are exported natively at double device-pixel-ratio using canvas.toDataURL("image/png"). Video export captures a 30fps canvas stream directly into a MediaRecorder WebM container while the 3D model completes an automated orbital sweep.
How does the Gemini 1.5 Flash Spatial Narrative Engine analyze 3D models?
Gemini 1.5 Flash evaluates multidimensional statistical distributions, identifying geographic epicenters, transmission corridors, and dimensional clustering. It outputs an executive narrative synthesis alongside key patterns and outlier detection directly on your dashboard.