In SQL, both the GROUP BY and HAVING clauses are used to perform operations on grouped data, but they serve different purposes. Let's explore the difference between these two clauses with examples.

The GROUP BY clause is used to group rows that have the same values into summary rows, typically for aggregation purposes such as calculating totals, averages, or counts. It operates on the columns specified in the GROUP BY clause, creating groups based on their unique values.

SELECT product_category, SUM(total_sales) AS total_sales
FROM orders
GROUP BY product_category;

The HAVING clause is used to filter groups based on a specified condition after the GROUP BY operation has been performed. It is similar to the WHERE clause but operates on grouped data rather than individual rows.

SELECT product_category, SUM(total_sales) AS total_sales
FROM orders
GROUP BY product_category
HAVING SUM(total_sales) > 1000;

Summary:

• GROUP BY: Groups rows based on the values of specified columns and allows for the aggregation of data within those groups.
• HAVING: Filters groups based on specified conditions after the grouping operation has been performed, allowing for further refinement of grouped data.

Understanding the distinction between the GROUP BY and HAVING clauses is essential for writing SQL queries that effectively summarize and analyze data based on specific criteria. Drag