Overview
This example demonstrates how to build a comprehensive analytics dashboard using Magary components. The dashboard includes KPI summary cards, tabbed data sections, hierarchical organization charts, and drill-down capabilities.Time to integrate: Less than 1 dayThis recipe shows you how to combine multiple Magary components to create a production-ready analytics interface.
Key Features
- KPI cards with trend indicators
- Tabbed navigation for different data views
- Interactive data tables
- Tree and organization chart visualizations
- Overlay panels for quick drill-down details
- Filter controls with selects
Components Used
MagaryCard
Container for KPI metrics
MagaryTabs
Organize data into logical sections
MagaryTable
Display tabular data
MagaryTree
Show hierarchical data structures
MagaryOrganizationChart
Visualize organizational hierarchies
MagaryOverlayPanel
Quick detail views
Project Structure
Organize your dashboard feature with this recommended structure:Data Models
Define your domain models for type safety:dashboard.models.ts
Component Implementation
Layout Diagram
The dashboard follows this visual structure:Accessibility Checklist
Keyboard Navigation
Keyboard Navigation
ARIA Contracts
ARIA Contracts
- Tabs follow proper
role="tablist"androle="tabpanel"structure - Table has proper header associations
- Overlay panel announces open/close states
- Status indicators have accessible labels
Screen Reader Support
Screen Reader Support
- KPI cards announce label, value, and trend
- Tree nodes announce hierarchy level
- Table columns have descriptive headers
- Loading and error states are announced
Visual States
Visual States
- Focus indicators are visible on all interactive elements
- Status colors meet WCAG contrast requirements
- Trend indicators use icons in addition to color
- Empty states provide clear guidance
Best Practices
Responsiveness: The KPI grid automatically adapts to smaller screens using CSS Grid’s
auto-fit and minmax.Next Steps
Add Charts
Integrate chart components for visual data representation
Real-time Updates
Implement WebSocket connections for live dashboard updates
Export Data
Add CSV/Excel export functionality for tables
Custom Filters
Build advanced filtering with date ranges and multi-select
