What is the primary purpose of a pivot table in a large dataset?

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Pivot tables condense large datasets by aggregating values across different dimensions, so you can quickly see totals, averages, counts, and other measures grouped by categories like region, product, or time. You can rotate which fields appear as rows or columns to create new views, making it easy to compare performance and spot patterns without changing the underlying data. This ability to summarize detailed data into meaningful, analyzable summaries is the main purpose of a pivot table. Tasks like retrieving and cleaning data from sources or merely organizing data for reporting are different steps; pivot tables focus on deriving structured summaries and enabling flexible analysis, often feeding dashboard visuals.