The control can seamlessly connect to JSON data, remote data services, and CSV data within an app. Furthermore, it can be linked to an OLAP cube, and the results can be shown in both tabular and graphical forms.
The pivot engine allows users to efficiently load and analyze large amounts of raw data with virtual scrolling and paging, without any impact on performance. The data will automatically update as the user scrolls vertically or horizontally.
The Pivot Table supports over 20 types of charts, complemented with user-interaction features like zoom, pan, crosshair, selection, and tooltip.
With built-in expand and collapse features, the Pivot Table can visualize data at both detailed and abstract levels. Data is presented in a grouped format by default.
Users have the flexibility to customize the appearance of Pivot Table cell values, including their background color, font color, font family, and font size as needed.