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Result Statistics

The Result Statistics page provides a comprehensive summary and statistical overview of a selected optimization result. It is designed to give users quick insights into the dataset's composition, problem dimensions, and metadata.

Overview

This page displays high-level metrics and detailed metadata for: - Optimization solutions (count, feasibility) - Design variables (dimensionality, types) - Objectives (number, directions) - Constraints (number, violations) - Observables (additional metrics)

Key Use: Quick assessment of optimization run characteristics and data quality.

Features

Result Selection

Select Result: Choose which optimization result to analyze. - Supports single result selection. - Dashboard updates automatically upon selection.

Summary Dashboard

The dashboard is organized into cards providing key statistics:

General Information: - Total Solutions: Total number of solutions in the result set. - Feasible Solutions: Number (and percentage) of solutions satisfying all constraints. - Infeasible Solutions: Number (and percentage) of solutions violating at least one constraint.

Variables: - Count: Number of design variables. - Types: Breakdown of variable types (e.g., continuous, integer, categorical).

Objectives: - Count: Number of optimization objectives. - Directions: Summary of minimization vs. maximization objectives.

Constraints: - Count: Number of constraints. - Violations: Overview of constraint satisfaction status.

Observables: - Count: Number of tracked observables (if any).

Metadata Viewer

A detailed view of the result's metadata, including: - Source: Origin of the data (e.g., file path, database). - Date Created: Timestamp of creation or import. - Description: User-provided description or notes. - Other Metadata: Any arbitrary metadata attached to the result set.

Usage Workflows

Workflow 1: Data Quality Check

  1. Select a result.
  2. Check General Information for the total and feasible solution counts.
  3. Verify if the number of feasible solutions meets expectations.
  4. Review Constraints statistics to understand feasibility issues.

Workflow 2: Problem Dimension Analysis

  1. Select a result.
  2. Review Variables and Objectives cards.
  3. Confirm the problem dimensions match the optimization formulation (e.g., correct number of decision variables and objectives).

Workflow 3: Metadata Review

  1. Select a result.
  2. Expand the Metadata section (if applicable) to view details like source files, timestamps, and configuration notes.
  • Path: /result-statistics
  • Category: Visualization
  • Icon: Chart/Statistics icon
  • Requires Data: Yes