Chart Configuration Manager

This example demonstrates a dynamic chart system with configuration management using Chart.js and the BuzzyFrameAPI for data persistence.

Key Features

  • Interactive Chart.js integration with dynamic data visualization

  • Configuration persistence storing chart settings as child data

  • Real-time chart updates when configurations change

  • Multiple chart configurations with version management

  • Chart destruction and recreation for smooth transitions

  • Sample data generation for demonstration purposes

Use Cases

Perfect for applications requiring:

  • Business intelligence dashboards

  • Data analytics platforms

  • Reporting systems with customizable charts

  • Configuration management interfaces

  • A/B testing for chart presentations

  • Historical chart configuration tracking

Implementation Overview

This widget uses the Child Table Data pattern to store chart configurations as JSON objects. Key features include:

  • Chart.js library integration for professional visualizations

  • Configuration versioning and management

  • Real-time chart updates without page refresh

  • Clean chart lifecycle management (destroy/recreate)

  • Sample data for immediate demonstration

Code Example

Key Concepts

Chart.js Integration

  • External Library: Demonstrates how to integrate popular JavaScript libraries

  • Chart Lifecycle: Proper chart destruction and recreation for smooth updates

  • Canvas Management: Direct canvas manipulation with React refs

  • Configuration Objects: Complete Chart.js configuration stored as JSON

Configuration Management

  • Persistence: Chart configurations stored as child data for long-term access

  • Versioning: Multiple configurations can be saved and managed

  • Real-time Updates: Charts update immediately when configurations change

  • JSON Storage: Complex configuration objects stored efficiently

Data Visualization Patterns

  • Sample Data: Includes sample datasets for immediate demonstration

  • Color Schemes: Professional color palettes for visual appeal

  • Responsive Design: Charts adapt to container size automatically

  • Interactive Elements: Hover effects and tooltips built into Chart.js

Advanced Features

  • Memory Management: Proper cleanup of chart instances to prevent memory leaks

  • Error Handling: Graceful handling of configuration errors

  • User Feedback: Loading states and confirmation dialogs

  • Extensibility: Easy to extend with additional chart types and options

This example showcases how code widgets can integrate sophisticated charting libraries while maintaining data persistence and real-time updates, making it perfect for business intelligence and analytics applications.

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