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 functions (COUNT(), MAX(), MIN(), SUM(), …

Aug 27, 2020 · Grouping results is a powerful SQL feature that allows you to compute key statistics for a group of records. GROUP BY is one of SQL’s most powerful clauses. It allows you to see data in a new way and find key metrics (like the average, maximal, and minimal values in a group of records).

May 30, 2017 · The GROUP BY clause instructs the DBMS to group the data and then perform the aggregate (function) on each group rather than on the entire result set. Aside from the aggregate calculation statements, every column in your SELECT statement must be present in the GROUP BY clause.

Sep 15, 2020 · How Does SQL GROUP BY Work? GROUP BY is an indispensable tool for any data analyst working with SQL. If you want to organize your data in groups and calculate some kind of aggregate statistics for these groups, the GROUP BY clause is what you need.

SQL does allow you to filter on the results of a GROUP BY -- it's called the HAVING clause. If you want to filter on something that could be determined prior to the grouping (i.e. everyone with FirstName = 'Mark'), that's done via WHERE.

Mar 10, 2010 · GROUP BY (clause can be used in a SELECT statement to collect data across multiple records and group the results by one or more columns) HAVING (clause is used in combination with the GROUP BY clause to restrict the groups of returned rows to only those whose the condition is TRUE)

This tutorial introduces you SQL GROUP BY that combines rows into groups and apply aggregate function such as AVG, SUM, COUNT, MIN, MAX to each group.

Apr 17, 2025 · The GROUP BY function in SQL organizes identical data into groups, enabling aggregate analysis on each group. It is commonly used with aggregate functions like SUM(), COUNT(), AVG() , etc., to summarize data efficiently.

Apr 18, 2024 · GROUP BY is a clause in SQL that arranges data with the same values into groups. Grouping is done by column (s), where all the rows with the same value in that column belong to one group. You can then perform summary computations – such as counting, summing, or averaging values – for each group.

Dec 18, 2024 · The GROUP BY Clause is among the most used statements in SQL, as it allows the user to group rows that have the same values in the specified columns. It’s often used in conjunction with functions like COUNT, SUM, AVG, MIN, MAX, WHERE, ORDER BY, HAVING, etc., to perform calculations on grouped data.