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Persisting and restoring the visual configuration and grouping state of a pivot table.
Distinct from Pivot Table Aggregators: Distinct from Pivot Table Aggregators: focuses on the serialization of the user's visual layout rather than the aggregation logic.
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This project is a JavaScript pivot table library and client-side data processor. It provides an interactive interface for transforming raw datasets into summarized tables, heatmaps, and charts, allowing for browser-based data analysis without a backend server. The library distinguishes itself through a drag-and-drop interface for dynamic data exploration and the ability to derive new attributes via date binning or custom logic. It supports flexible data rendering by converting analyzed results into HTML tables or graphical representations using integrated or third-party charting libraries. T
Saves and restores the specific layout and settings of a pivot table to preserve user views.