The ASP.NET Core pivot table control organizes and summarizes business data and displays the result in a cross-table format. A high volume of pivot data can be loaded without any performance degradation using row and column virtualization.
Allows users to load large amounts of raw data into the pivot engine, aggregate it, and view it on-demand through virtual scrolling options with ease.
The ASP.NET Core pivot table accepts JSON array for data binding. It uses the data manager explicitly to handle remote data and data processing.
You can bind an array of objects to the control to work smoothly in applications.
Binding the ASP.NET Core pivot table with RESTful services allows data from any sources, including Excel and CSV files, SQL databases like Microsoft SQL, MySQL, and PostgreSQL, and collections like IEnumerable, IList, and array lists through services, which are consumed using the data manager explicitly. It supports various data adaptors such as JSON, OData, ODataV4, URL, and Web API for working with particular data services.
All features will work on touch devices with ease. Features such as drill up/down, filtering, sorting, and report manipulation can be done on the fly.
Responsive support allows the control layout to view on various devices.
Allows the pivot table field list to view on various devices in a presentable manner.
The pivot table field list and group fields option are automatically populated with fields from the bound data source. They allow end-users to drag, filter, and sort fields, as well as create pivot report at runtime.
Provides built-in drill down (expand) and drill up (collapse) capability to visualize data both in a detailed view and abstract view, respectively. By default, the data are displayed in a grouped manner.
Users can refresh the control on demand instead of during every UI interaction in Pivot Table.
Users can create, read, update, and delete operations for raw data at runtime and update their changes to the underlying data source, thereby reflecting the information in all corresponding cells. The control supports various edit modes such as inline, dialog, batch edit, and column edit though an interactive UI.
Built-in normal and Excel-like filters with advanced filtering options to easily filter and view data as required. It is also possible to filter programmatically.
Displays only selective values for a field. This can be achieved either through UI or code-behind.
Excel-like filtering option across column and row headers either based on label text, date, or number.
Excel-like filtering option across column and row headers based on grand-total value.
Sorting supports to order rows and columns based on either labels or values.
Orders the column and row header text either in ascending or descending order.
Column sorting, also known as value sorting, orders the column value either in ascending or descending order. It is performed by clicking the desired column header.
Users can perform calculations on a group of values using the aggregation option. By default, values are added together. The other aggregation types are: average, minimum, maximum, count, distinct count, product, index, population stdev, sample stdev, population var, sample var, running totals, difference from, % of difference from, and % of grand total.
The calculated field, otherwise known as unbound field generates unique field with our own calculated value by executing a simple user-defined formula.
The drill-through feature easily obtains a list of raw items for a particular value cell or summary cell.
Subtotals and grand totals are calculated automatically by the pivot engine inside the control and displayed in the pivot table. This helps users make decisions based on the totals. Also, users can show or hide subtotals and grand totals for rows and columns.
Allows users to define conditions that, when met, format font style, text color, background color, and font size for values and summary cells.
Number formatting and date formatting help to transform the appearance of the actual cell value.
You can freeze row and column headers to scroll and compare cell values with the corresponding row and column headers.
Resizing allows changing column width at runtime by simply dragging the right-most boundary of the column header. The scroll bar will appear when the content width exceeds the control width.
You can reorder the columns either on user interaction or programmatically. Simply dragging and dropping a column header into the desired column position will reorder the columns.
Users can retrieve information about a particular cell on hyperlink cell click. It later allows them to perform custom operations programmatically.
Select a range of value cells.
A tooltip provides basic information about a cell while hovering over it with the pointer.
Exports ASP.NET Core pivot table data to Excel, PDF, and CSV formats. You can also customize the exported document by adding the header, footer, and cell properties like type, style, and position programmatically.
Ships with a set of 4 stunning, built-in themes namely material, fabric, bootstrap and high contrast.
You can customize the appearance of the control to any extent programmatically.
Enables users from different locales to use the control by formatting the date, currency, and numbering to suit locale preferences. This uses an internalization (i18n) library for handling value formatting.
Supports right-to-left rendering and allows the text direction and layout of the control to display from right to left.
You can localize all the control strings in the user interface as needed and use the localization (l10n) library to localize UI strings.
For a great developer experience, flexible built-in APIs are available to define and customize the ASP NET Core Pivot Table control. Developers can optimize the data bound to the control and customize the user interface (UI) completely using code with ease.
It is necessary for the ASP NET Core pivot table to work on all major browsers across Windows, macOS, Linux, Android, and iOS. Our control is written in pure JavaScript and does not require any plugin on any modern web browsers. It provides a seamless working experience for all Chrome, Firefox, Internet Explorer, Safari, and Opera browsers.
The pivot table can also be used natively in Angular, React and Vue frameworks.
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