ZK Pivottable is an advanced Ajax data summarization component designed for Java web applications. It takes raw data from a flat table and organizes it by desired categories arranged on columns and rows, bringing the power of Excel’s pivot table to Java web applications. This component is ideal for developers looking to demonstrate complex sets of data online with ease and flexibility.

Features

• Data Modeling: Allows for sophisticated data modeling, enabling users to pivot and summarize data effectively.
• Data Pivoting: Organizes raw data into meaningful summaries by desired categories.
• Data Summarization: Summarizes complex data sets into clean, understandable tables.
• Data Hierarchy: Supports hierarchical data structures, making it easy to drill down into data.
• Customizable Renderer: Fully customizable renderer allows for the inclusion of cell rules and advanced rendering features.
• Paging Mechanism: Sophisticated and automatic paging mechanism capable of handling large amounts of data.
• Mouse Event Handlers: Easily add mouse event handlers to support click, right-click, and mouse-over actions.
• Field Setting Manipulation: Use a macro component for handling field setting manipulation, reducing user implementation required on Pivottable control UI.
• CSS Customization: Determine the CSS class and style on any data cell, allowing custom highlights or markings.
• Dynamic Column Width: Drag and drop column borders to change column width dynamically.
• Custom Sorting: Use provided API and UI control to specify custom sorting on row and column fields.
• Data Filtering: Utilize input data filters to refine the model data.

Benefits

• Enhanced Data Analysis: Provides powerful tools for data analysis and summarization, making it easier to understand complex data sets.
• Flexibility: Offers extensive customization options, allowing developers to tailor the component to their specific needs.
• User-Friendly: Intuitive interface and features like drag-and-drop and mouse event handlers enhance user experience.
• Performance: Efficiently handles large data sets with automatic paging and sophisticated data handling mechanisms.
• Integration: Easily integrates into Java web applications, providing a seamless data analysis solution.
• Customization: Fully customizable renderer and CSS options allow for personalized data presentation.