antv-s2-expert

To configure a multi-dimensional pivot table using @antv/s2, you define a dataCfg specifying rows, columns, and values, then render the table using a PivotSheet configuration pattern for structured cross-analysis layout rendering.

PivotSheet handles multi-dimensional cross-analysis by structuring rows and columns hierarchically, while TableSheet presents grid-based flat data. Both layouts are supported within the @antv/s2 framework to address different analytical rendering needs.

You customize theming and sorting in an S2 pivot table by applying API-oriented configuration patterns that target cell strategies and totals. The framework provides rule-based instructions to adjust visual styles and data order directly.

Yes, S2 supports event handling and advanced cell strategies for cross-tab grids. The framework provides API-oriented patterns to manage interactions and customize cell rendering logic across PivotSheet, TableSheet, and grid-tree layouts.

The best way to handle performance considerations when building grid-tree layouts with S2 is to apply the provided API-oriented patterns that optimize data config and rendering. This ensures robust cross-analysis solutions without structural bottlenecks.