tablerowgroups

Tablerowgroups refers to the logical grouping of consecutive rows within a tabular data structure based on one or more grouping keys. Each group collects rows that share the same value for the grouping criteria, enabling organized presentation, aggregation, and navigation of table data. The concept is used across data processing, reporting, and user interfaces to make large tables easier to read and analyze.

In practice, tablerowgroups appear in various contexts. In HTML or UI rendering, groups are shown with group headers and may rely on techniques such as row spans or dedicated grouping rows to label each section. In data processing, algorithms sort records by the grouping keys and partition the sequence into distinct groups, often computing aggregates (counts, sums, averages) per group. Hierarchical or nested groups can represent multi-level, drill-down structures.

Data modeling for tablerowgroups typically treats the table as a collection of records plus a set of group keys. Each group has a key value, a list of rows that belong to it, and optional aggregate values. Groups can be nested to form a hierarchy, and rendering logic may support expanding or collapsing individual groups for navigation or performance reasons.

Rendering considerations include readability and performance, especially for large datasets. Group headers visually separate sections, and virtualization or lazy loading can improve responsiveness. While the exact terminology and implementation details vary by system, the core idea is to organize rows so that related data is displayed together and can be aggregated or navigated efficiently.

See also: group by, pivot table, hierarchical table, data grouping.