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

Sharing and Collaboration

Sharing Options
  • Generate shareable links

  • Set access permissions

  • Create public views

  • Embed visualizations

Collaboration Features
  • Comments and annotations

  • Version tracking

  • Change history

  • Team workspaces

Best Practices

  • Document result interpretations

  • Version control important results

  • Regular backups of critical data

  • Clear naming conventions

  • Archive old results

Next Steps