Dataset 3
High-dimensional synthetic dataset containing 1.2 million data points with 24 features across 12 categorical dimensions, generated using fractal pattern synthesis algorithms.
Structure
- • 1.2 million records
- • 24 numerical features
- • 12 categorical dimensions
- • 64-bit timestamps
- • Fractal correlation patterns
Generation
- • Chaos-based synthesis
- • Self-similar patterns
- • Noise-optimized
- • Fractal dimension 2.78
- • Multifractal distributions
Applications
- • Anomaly detection
- • Pattern discovery
- • Fractal time-series
- • Complex system modeling
Explore Data
Available Formats:
- • JSON (12GB)
- • Parquet (3.8GB)
- • CSV (18.5GB)
Metadata Access:
- • Interactive schema viewer
- • Feature correlations
- • Distribution visualizations