superset2/docs/developer_portal/viz-plugins/transforming-data.md

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Transforming Data	4

Transforming Data

🚧 Coming Soon 🚧

Master data transformation techniques to prepare and optimize data for your visualization plugins.

Topics to be covered:

• Data transformation pipeline architecture
• Understanding query results structure
• Implementing transform props functions
• Data aggregation and grouping
• Filtering and sorting operations
• Data type conversion and validation
• Handling missing and null values
• Performance optimization for large datasets
• Caching and memoization strategies
• Error handling in data transformations

Transformation Patterns

Data Preparation

• Normalization - Converting data to consistent formats
• Aggregation - Grouping and summarizing data
• Pivoting - Reshaping data for different chart types
• Joining - Combining multiple data sources
• Filtering - Removing irrelevant data points

Chart-Specific Transformations

• Time series - Date parsing and time-based grouping
• Geographic data - Coordinate conversion and mapping
• Hierarchical data - Tree and nested structure handling
• Network data - Node and edge relationship processing
• Statistical data - Distribution and correlation analysis

Performance Considerations

• Lazy evaluation and streaming
• Incremental data processing
• Client-side vs server-side transformations
• Memory management for large datasets
• Parallel processing techniques

API Reference

• Transform props function signature
• Available utility functions
• Data structure interfaces
• Error handling patterns

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This documentation is under active development. Check back soon for updates!