Overview
Connect the React Pivot Table to multidimensional (OLAP) data organized into dimensions, hierarchies, measures, and named sets. Visualize results in both tabular and graphical formats. Customize reports through the field list and grouping bar, and save report configurations for later use. OLAP data binding supports multidimensional data analysis through Pivot Tables and Pivot Charts.
OLAP cube
An OLAP cube is a multidimensional array of data organized into dimensions, hierarchies, levels, members, measures, and named sets. Explore and analyze OLAP cube elements at runtime through the field list interface.

Drill down and drill up
Built-in support for drill down (expand) and drill up (collapse) has been provided to visualize data in both abstract and detailed views.
Slice and dice
Create new views by selecting dimensions and measures from the OLAP cube and applying filters through slice-and-dice operations.


Virtualization
Virtual scrolling retrieves data through paging MDX queries as users scroll and renders the data returned for the current view. It is suitable when large OLAP datasets need to be explored across multiple data ranges.
Calculated members and measures
Built-in UI is available to create and display calculated members and measures according to the user requirement. The dynamically created members and measures can be bound to the report in order to visualize the same in pivot table.


Named sets
Named sets are collections of dimension members created from predefined MDX expressions in the OLAP cube.
Drill through
Retrieve and display the underlying raw data for any aggregated value cell in a grid for detailed analysis and review.


Measure groups
Organize measures belonging to the same underlying fact table in a group.
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