Results Analysis¶
The Results section provides tools for analyzing, visualizing, and exporting computation outputs from your swarms.
Note
Visual guides and screenshots will be added in future documentation updates.
Overview¶
The results dashboard enables:
Result browsing and search
Data visualization
Statistical analysis
Export and sharing
Report generation
Accessing Results¶
- Result List View
Swarm identification
Completion status
Result size
Creation timestamp
Data types available
- Filtering Options
By swarm
By date range
By result type
By tags
By status
Visualization Tools¶
- Chart Types
Line graphs for trends
Bar charts for comparisons
Scatter plots for correlations
Heatmaps for distributions
Custom visualizations
- Interactive Features
Zoom and pan
Data point inspection
Legend toggling
Export as image
- Comparison Views
Side-by-side results
Overlay multiple runs
Difference analysis
Statistical testing
Data Analysis¶
- Built-in Analytics
Summary statistics
Aggregations
Correlations
Distributions
Outlier detection
- Custom Analysis
Filter and transform
Apply functions
Create derived metrics
Build dashboards
Exporting Results¶
- Export Formats
JSON for raw data
CSV for spreadsheets
HDF5 for scientific data
Pickle for Python objects
PDF for reports
- Export Options
Full dataset
Filtered subset
Aggregated summaries
Visualization snapshots
Report Generation¶
- Report Templates
Executive summary
Technical details
Performance analysis
Custom templates
- Report Contents
Metrics and KPIs
Visualizations
Logs and errors
Recommendations
Best Practices¶
Document result interpretations
Version control important results
Regular backups of critical data
Clear naming conventions
Archive old results
Next Steps¶
Swarm Development Guide - Creating swarms
Python User API - Programmatic access