Extension C3.js Chart Visualization

These CKAN Versions are exactely matched:

• 2.8.0
• 2.8.1
• 2.8.10
• 2.8.11
• 2.8.12
• 2.8.2
• 2.8.3
• 2.8.4
• 2.8.5
• 2.8.6
• 2.8.7
• 2.8.8
• 2.8.9
• 2.9.0
• 2.9.1
• 2.9.10
• 2.9.11
• 2.9.2
• 2.9.3
• 2.9.4
• 2.9.5
• 2.9.6
• 2.9.7
• 2.9.8
• 2.9.9
• 2.10.0
• 2.10.1
• 2.10.2
• 2.10.3
• 2.10.4
• 2.10.5
• 2.10.6
• 2.10.7
• 2.10.8

The C3.js Chart Visualization extension integrates the powerful C3.js charting library into CKAN, providing advanced interactive data visualization capabilities with support for multiple chart types, real-time updates, and highly customizable graphical representations of tabular data for enhanced data exploration and presentation. This comprehensive extension automatically generates charts from DataStore resources, supporting line charts, bar charts, pie charts, donut charts, scatter plots, area charts, and combination visualizations with smooth animations and interactive features. The system provides intelligent data type detection and automatic chart recommendations based on data structure and content patterns. Advanced features include real-time chart updates for streaming data, interactive legends, zoom and pan capabilities, and data filtering through chart interactions. The extension supports custom styling with CSS customization, responsive design for mobile devices, and integration with organizational branding themes. Configuration options include chart size management, color palette customization, axis formatting, and tooltip configuration for enhanced user experience. Administrative tools provide chart template management, default visualization settings, and performance monitoring for chart rendering efficiency. Integration capabilities include embedding charts in external websites, API endpoints for chart data, and export functionality for various formats including PNG, SVG, and PDF. The system supports multi-series data visualization, time-series analysis, and statistical overlays for comprehensive data analysis. Performance optimizations ensure efficient handling of large datasets with data sampling, progressive loading, and client-side caching. Essential for data portals requiring rich visualization capabilities, research institutions presenting analytical results, government agencies displaying statistical data, and organizations where interactive data exploration, visual storytelling, and enhanced user engagement through compelling data presentation are critical for effective communication and data understanding.