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Tree components provide a way to display hierarchical data in an expandable/collapsible structure, allowing users to navigate through complex nested information efficiently while maintaining context of the overall hierarchy.

Guidance

AspectBest Practice
UsageUse for hierarchical data structures like file systems, organizational charts, taxonomies, or nested categories that benefit from progressive disclosure.
ContentUse clear, descriptive labels for each node. Show relevant icons or indicators to help users understand item types and relationships.
BehaviorSupport both mouse and keyboard navigation. Provide expand/collapse functionality and clear visual indicators for expandable nodes.
StatesClearly distinguish between expanded, collapsed, selected, and loading states. Show parent-child relationships through visual hierarchy.
PerformanceImplement lazy loading for large datasets. Consider virtualization for trees with hundreds or thousands of nodes.
ExamplesFile explorers, navigation menus, category browsers, organizational structures, or any nested data that users need to explore incrementally.

Best Practices

  • Progressive Disclosure: Show only top-level items initially, allowing users to explore deeper levels as needed.
  • Visual Hierarchy: Use indentation, connecting lines, and icons to clearly show parent-child relationships.
  • Keyboard Navigation: Support arrow keys for navigation, Enter/Space for selection, and appropriate focus management.
  • Loading States: Show loading indicators for async operations and provide feedback during data fetching.
  • Selection Clarity: Make selected items clearly visible and maintain selection state appropriately.
  • Expand/Collapse Indicators: Use consistent icons or symbols to indicate expandable nodes and their current state.

Do’s and Don’ts

Do

  • Use for hierarchical data that benefits from progressive disclosure.
  • Provide clear visual indicators for expandable/collapsible nodes.
  • Support keyboard navigation and accessibility features.
  • Show parent-child relationships through visual hierarchy.

Don't

  • Use for flat data that doesn’t have natural hierarchy.
  • Auto-expand all nodes by default for large trees.
  • Make the tree too deep without providing context or navigation aids.
  • Forget to handle loading states for large or dynamic datasets.

Additional Guidance

  • Psychological Impact:
    • Familiar Mental Model: Trees mirror familiar concepts like folder structures and organizational charts.
    • Spatial Awareness: Visual hierarchy helps users understand their location within the data structure.
    • Controlled Exploration: Progressive disclosure prevents information overload while enabling deep exploration.
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