Which tool is typically used to change the structure of a dataset into a more usable format?

The Pivot Tool is specifically designed to restructure datasets, making them more usable for analysis. It allows users to transform data from a long format to a wide format or vice versa, depending on the requirements of the analysis. This transformation is crucial for preparing data for visualization or for applying specific analytical functions that require data to be organized in a particular way.

By rearranging the structure of the dataset, the Pivot Tool facilitates a better understanding of the data's relationships and patterns. This can improve the utility of the dataset for generating reports or performing complex analyses, as it aligns the data format with the needs of the analytical tasks being performed.

Other tools have specific functions that do not primarily focus on restructuring data for enhanced usability. For example, while the Join Tool combines datasets based on common fields, it does not directly change the overall structure of the datasets involved. The Blend Tool merges datasets from multiple sources, but it retains their original structures. The Filter Tool, on the other hand, is used to exclude or include specific records based on criteria, which does not affect the dataset's overall structure. Thus, the Pivot Tool stands out as the most suitable for changing the dataset's structure.