Pattern Visualization Dashboard
Explore the fractal structure of the timewave. Phase 3 detected 200+ patterns across multiple temporal scales (64-day, 384-day, 4096-day). This dashboard allows you to visually inspect patterns, examine their correlations, and understand the self-similar structure of time.
Pattern Library
Filter Patterns
Pattern-Event Correlation Analysis
Analyzes the relationship between pattern occurrences and historical events. Do high-prominence patterns correlate with high-novelty events?
Statistical Summary
- Total Correlations:
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- Pearson r:
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- Mean Correlation:
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- High Correlations (>0.7):
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View Top Pattern-Event Correlations
| Pattern Date | Event Name | Event Date | Temporal Distance | Correlation Score |
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Cross-Scale Correlation Matrix
This heatmap shows correlations between pattern templates across different scales. Strong correlations indicate self-similarity (fractal structure).
(Opposite) 0.0
(No correlation) +1.0
(Identical)
View Correlation Matrix as Table
Pattern Comparison
Select 2-4 patterns to compare them side-by-side. Click on pattern library cards or correlation matrix cells to add patterns.
Pattern A
- Scale:
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- Prominence:
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- Mean:
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- Std Dev:
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- Occurrences:
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Pattern B
- Scale:
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- Prominence:
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- Mean:
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- Std Dev:
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- Occurrences:
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Pattern C
- Scale:
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- Prominence:
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- Mean:
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- Std Dev:
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- Occurrences:
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Pattern D
- Scale:
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- Prominence:
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- Mean:
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- Std Dev:
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- Occurrences:
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Statistical Comparison
| Pattern A | Pattern B | Pattern C | Pattern D |
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