What is the purpose of using Pivot widgets in data analysis?

The purpose of using Pivot widgets in data analysis is to visually summarize and simplify complex datasets, allowing users to gain insights and extract meaningful information easily. Pivot widgets enable analysts to reorganize, group, and filter data dynamically, providing an intuitive interface to explore various aspects of the data without extensive coding or manual calculations.

By using Pivot widgets, users can create concise summaries of large datasets, making trends and patterns more apparent. This capability to consolidate data is especially beneficial for presenting findings to stakeholders or making data-driven decisions quickly. The visual aspect also enhances understanding by allowing users to see relationships and comparisons at a glance.

In contrast, creating documents, managing user permissions, or deleting records do not address the core functionality of Pivot widgets in the context of data analysis. These tasks are important in different areas of data management and user interface design but are not related to the primary aim of Pivot widgets.