Extension Interactive Data Explorer

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 Interactive Data Explorer extension provides sophisticated data exploration capabilities within CKAN, offering users advanced interactive interfaces for dataset discovery, filtering, analysis, and visualization that enhance data accessibility and enable comprehensive data investigation without requiring specialized technical skills. This powerful extension creates intuitive exploration interfaces with faceted search capabilities, dynamic filtering controls, and real-time result updates that enable users to drill down into large data collections efficiently. The system supports multiple exploration modes including geographic exploration with map-based filtering, temporal analysis with time-series navigation, and thematic exploration through categorical browsing with intelligent suggestion systems. Advanced features include saved search functionality, exploration history tracking, and collaborative exploration with sharing capabilities for team-based data discovery workflows. The extension provides statistical analysis tools, data profiling capabilities, and automated insight generation that help users understand dataset characteristics and relationships. Administrative features include exploration analytics tracking user behavior patterns, popular search terms monitoring, and performance optimization for large-scale data exploration. Integration capabilities extend to external analytical tools, business intelligence platforms, and data visualization services through API connections and export functionality. The system supports custom exploration templates, domain-specific exploration interfaces, and integration with organizational data classification systems for enhanced discovery experiences. Performance optimizations ensure responsive exploration experiences with efficient indexing, caching strategies, and progressive loading for large datasets. Essential for research institutions enabling data discovery, government portals supporting citizen data access, commercial data platforms requiring advanced search capabilities, and organizations where intuitive data exploration, user engagement, and data accessibility are critical for maximizing data value and supporting evidence-based decision making across diverse user communities.