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Data Viewer

The Data Viewer provides a tabular interface for browsing and exploring your optimization results. It allows you to view all variables, objectives, constraints, and observables in a sortable, filterable table.

Overview

The Data Viewer displays optimization results in a comprehensive table format, making it easy to: - Browse all data points in your optimization results - Sort by any column - Filter data based on specific criteria - Select rows for further analysis - Examine individual solution details

Features

Result Selection

Select Result: Choose which optimization result to view from the dropdown - Only one result can be viewed at a time - The table updates automatically when you change the selection

Data Table

The main data table displays all available information for each solution:

Columns Include: - Design Variables: Input parameters that were optimized - Objectives: Optimization objectives (values to minimize/maximize) - Constraints: Inequality and equality constraints - Observables: Additional computed or measured values - Set Membership: Which sets each point belongs to (if applicable)

Table Features: - Sortable: Click column headers to sort ascending/descending - Filterable: Use the filter row to narrow down results - Selectable: Click rows to select them for analysis - Pagination: Navigate through large datasets efficiently - Responsive: Adapts to different screen sizes

Row Selection

You can select individual rows or multiple rows: - Single Click: Select/deselect a row - Shift+Click: Select a range of rows - Ctrl/Cmd+Click: Add/remove individual rows from selection

Selected rows can be used to: - Create new sets (via Sets Manager) - Analyze specific solutions - Export subsets of data

Set Filtering

If your result contains sets, you can filter the table to show only points belonging to specific sets: - View points in the Pareto front - Show only feasible solutions - Display custom sets you've created

Usage Workflow

Basic Viewing

  1. Select a Result: Choose an optimization result from the dropdown
  2. Browse Data: Scroll through the table to explore solutions
  3. Sort: Click column headers to sort by specific values
  4. Filter: Use the filter inputs to narrow down results

Advanced Filtering

  1. Column Filters: Type in the filter row below headers
  2. Numeric columns: Use operators like >, <, =
  3. Text columns: Type partial matches

  4. Example: >0.5 in an objective column

  5. Set Filters: Select specific sets to display

  6. Shows only points belonging to selected sets
  7. Useful for focusing on Pareto-optimal or feasible solutions

Data Analysis

  1. Select Rows: Click rows to select solutions of interest
  2. Examine Details: Review all variables and objectives for selected points
  3. Create Sets: Use selected rows to create new sets (via Sets Manager)
  4. Compare: Sort and filter to compare different solutions

Tips and Best Practices

Performance

  • For very large datasets (>10,000 points), use filtering to reduce visible rows
  • Pagination helps manage display of large result sets
  • Consider creating sets for frequently accessed subsets

Data Exploration

  • Start by sorting objectives to find best solutions
  • Use constraint columns to identify feasible solutions
  • Filter by variable ranges to explore specific design spaces
  • Combine multiple filters for targeted analysis

Set Integration

  • Create sets from selected rows for reuse in other pages
  • Use existing sets to quickly filter to important solutions
  • Combine Data Viewer with Sets Manager for powerful workflows

Column Types

Design Variables

  • Input parameters that were varied during optimization
  • Typically represent design choices or control parameters
  • Values show the configuration for each solution

Objectives

  • Values that were optimized (minimized or maximized)
  • Lower/higher values indicate better solutions (depending on optimization direction)
  • Use for identifying optimal solutions

Constraints

  • Inequality Constraints: Must be ≤ 0 for feasibility
  • Equality Constraints: Must be = 0 for feasibility
  • Positive values indicate constraint violations

Observables

  • Additional computed or measured values
  • Not directly optimized but useful for analysis
  • May include derived metrics or intermediate calculations
  • Path: /data_viewer
  • Category: Data
  • Icon: Table eye icon
  • Requires Data: Yes