- perfect for complex data analyzing;
- can be exported as a PDF file, PNG format, Excel, CSV page;
- Web Workers for running scripts in background threads;
- fully client-side.
Pivot tables allow you to extract the significance from the massive, detailed data sets.
In other words, it is perfect for automatic organizing, summarizing and comparing complex data from database files. For easily comparison of the numbers all you need is to create a Pivot Chart and to add a filter.
You can use this component for sorting, counting, total spreadsheeting, or giving the average of the large datasets stored in one table or spreadsheet. In other words, Pivot provides you with an opportunity to analyze information, detect patterns and relationships, and discover trends.
With Pivot, your data will be arranged like a tree. Child groups can be expanded and collapsed to show summarized or more detailed reports. It provides you with plenty of options for component customizing and lots of APIs for data loading.
If you would like to present data in Pivot from a different angle, you shouldn't create new templates. The structure of data in Pivot table can be easily changed by dragging and dropping its fields, rows, and columns or by adding additional filters in them graphically.
Pivot enables you to load report data from external sources, a local drive, or other reports. Withal, the report data can be exported as a PDF file, PNG format, Excel, CSV page. It quickly displays complex data from SQL databases or static CSV files into easy-to-use visual reports — tables. Pivot runs in all modern browsers and on any kind of device (desktops, notebooks, tablets, smartphones, terminals).