Core Workflow
Variables view
A table of every variable in the dataset showing:
- Variable name (original from the file)
- Label (human-readable description)
- Type badge — colour-coded: C (Categorical), B (Binary), S (Scale/Numeric), T (Text), W (Weight)
- Group membership
Tip
Use this view to scan the full variable list, search for specific fields, and spot type issues.
Core Workflow
Question Groups view
Variables grouped by their parent question. Useful for:
- Understanding array structures (e.g. a grid question with multiple items)
- Verifying that related variables are grouped correctly
- Identifying groups that need manual adjustment
Core Workflow
Raw Data view
A paginated record-level grid for spot-checking actual values.
- Filter columns to focus on specific variables
- Click a variable in the Variables tab to scroll to it in Raw Data
- Use this to verify suspicious categories, check missing-value patterns, or confirm that a weight variable looks reasonable
Core Workflow
Editing metadata
Variable names, labels, and value labels are editable directly in the explorer. Changes propagate to:
- Table headers and row stubs
- AI agent context (the agent sees updated labels)
- Exported project files
Clean metadata drives better AI
Good AI output starts with clean metadata. If labels are unclear or grouping is wrong, fix it here first. The agent reads the same metadata you see in the explorer.
Core Workflow
Group-synced editing
For categorical array questions (grids), editing a value label in one member variable updates it across all members of the group. This prevents inconsistency in array-structured data.