How do I group data in SQL

Grouping data in SQL is essential for performing aggregate functions on subsets of data. It allows you to organize your data based on one or more columns, making it easier to calculate totals, averages, and more for each group.

To group data in SQL, you can use the GROUP BY clause. This clause is typically used along with aggregate functions like SUM(), COUNT(), AVG(), etc.

Here is an example of how to use the GROUP BY clause in a SQL query:

SELECT department, COUNT(*) AS employee_count FROM employees GROUP BY department;

In this example, we are selecting the department and counting the number of employees in each department. The GROUP BY clause groups the results by the department field, allowing us to see how many employees work in each department.


grouping data SQL GROUP BY SQL aggregate functions data organization in SQL

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?