N-level column grouping
Group records across multiple levels by selecting more than one column, with control over the visibility of grouped columns. Hierarchical grouping is suitable when related records need to be organized by several fields within the same Data Grid.
Grouping with aggregates
Aggregate functions can calculate summary values for grouped records and display the results in the group caption, group footer, or both locations. Group-level summaries are suitable when grouped data requires one or more calculated values for the same column.
Group by format
Columns can be grouped by their formatted values rather than the underlying raw values. Formatted-value grouping is suitable when displayed values, such as formatted dates, need to determine how records are organized.
Lazy load grouping with paging
Lazy load grouping with paging renders only the initial caption rows in a collapsed state based on the page size and retrieves child records when a caption row is expanded. Paged on-demand loading is suitable for large grouped datasets where content is requested only for expanded groups.
Lazy load grouping with infinite scrolling
Grouped records remain collapsed during initial binding, while child levels are retrieved as corresponding groups are expanded during infinite scrolling. Incremental loading is suitable for large, multi-level grouped datasets that extend continuously through the grid.
Lazy load grouping with virtual scrolling
Grouped records remain collapsed initially, with child records retrieved as groups are expanded within the virtualized view. Virtualized retrieval is suitable for large hierarchical datasets that require grouped records to be accessed while scrolling.
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