Pivot tables, while not a standard SQL command, are a powerful technique for transforming data. They are commonly used to summarize data in a way that's easier to read and understand. Instead of having multiple rows representing the same category, a pivot table aggregates those rows into columns. This is especially helpful when you need to compare values across different categories. For example, imagine you have sales data with columns for product, region, and sales amount. A pivot table could show total sales for each product in each region. This transformation is often achieved using aggregate functions (like SUM, AVG, COUNT) in conjunction with a GROUP BY clause and a CASE statement or similar conditional logic. The resulting table is often more concise and easier to interpret than the original data. Pivot tables are not a built-in SQL feature, but can be achieved through various techniques, including using conditional aggregation or subqueries. The specific approach depends on the database system you are using.
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