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  1. SQL GROUP BY Statement - W3Schools

    The GROUP BY statement groups rows that have the same values into summary rows, like "find the number of customers in each country". The GROUP BY statement is often used with aggregate …

  2. SQL GROUP BY - GeeksforGeeks

    Nov 17, 2025 · The SQL GROUP BY clause is used to arrange identical data into groups based on one or more columns. It is commonly used with aggregate functions like COUNT (), SUM (), AVG (), MAX …

  3. SQL GROUP BY

    The GROUP BY clause groups the rows into groups based on the values of one or more columns. Use an aggregate function with the GROUP BY clause to calculate the summarized value for each group.

  4. SQL GROUP BY (With Examples) - Programiz

    We use the GROUP BY clause to group rows based on the value of columns. In this tutorial, you will learn about GROUP BY in SQL with the help of examples.

  5. SQL GROUP BY Explained with Examples - dbschema.com

    Aug 21, 2025 · Learn how to use SQL GROUP BY with clear examples. Understand SUM, COUNT, AVG, and HAVING step by step. Beginner-friendly and easy to follow.

  6. GROUP BY (Transact-SQL) - SQL Server | Microsoft Learn

    Nov 18, 2025 · A SELECT statement clause that divides the query result into groups of rows, usually by performing one or more aggregations on each group. The SELECT statement returns one row per …

  7. SQL - Group By Clause - Online Tutorials Library

    The SQL GROUP BY clause is used to group (organize) rows that have the same values in specified columns into summary rows. It is used with aggregate functions like COUNT (), SUM (), AVG (), MAX …

  8. SQL GROUP BY Clause - Tutorial Gateway

    The SQL Server GROUP BY Clause returns aggregated data by grouping one or more columns and performing the aggregated functions on the remaining columns. The GROUP BY statement groups …

  9. Group By – SQL Tutorial

    Group By The GROUP BY clause is a powerful feature of the Structured Query Language (SQL) that allows you to group the result set of a query by one or more columns.