 SQL Group By is a powerful technique that enables you to group rows based on one or more columns in a table. This can be useful when you need to summarize data or perform calculations on subsets of data. In this tutorial, we will cover everything you need to know about SQL Group By, including its syntax, functions, and practical examples.

## Syntax of SQL Group By

The syntax of SQL Group By is as follows:

``````SELECT column1, column2, ..., function(columnX)
FROM table
GROUP BY column1, column2, ...;``````

In this syntax, the `GROUP BY` clause is used to group the rows based on one or more columns. The SELECT statement can include functions such as COUNT, SUM, AVG, MIN, and MAX, which are applied to the grouped data.

## Functions in SQL Group By

There are several functions that can be used with SQL Group By:

### 1. COUNT

The `COUNT` function is used to count the number of rows in each group.

### 2. SUM

The `SUM` function is used to calculate the sum of a column for each group.

### 3. AVG

The `AVG` function is used to calculate the average of a column for each group.

### 4. MIN

The `MIN` function is used to find the minimum value of a column for each group.

### 5. MAX

The `MAX` function is used to find the maximum value of a column for each group.

## Examples of SQL Group By

### Example 1: Summarizing Data

Suppose you have a table called `sales_data` with columns `product_name`, `sales`, and `region`, and you want to summarize the sales data by region. Here’s an example:

``````SELECT region, SUM(sales)
FROM sales_data
GROUP BY region;``````

In this example, we used the `GROUP BY` clause to group the sales data by region, and the `SUM` function to calculate the total sales for each region.

### Example 2: Calculating Averages

Suppose you have a table called `student_scores` with columns `student_name`, `test_score`, and `subject`, and you want to calculate the average test score for each subject. Here’s an example:

``````SELECT subject, AVG(test_score)
FROM student_scores
GROUP BY subject;``````

In this example, we used the `GROUP BY` clause to group the test scores by subject, and the `AVG` function to calculate the average test score for each subject.

### Example 3: Filtering Data

Suppose you have a table called `customer_orders` with columns `customer_name`, `order_date`, and `order_total`, and you want to find the customers who have placed orders with a total value greater than \$1000. Here’s an example:

``````SELECT customer_name, SUM(order_total)
FROM customer_orders
GROUP BY customer_name
HAVING SUM(order_total) > 1000;``````

In this example, we used the `GROUP BY` clause to group the orders by customer name, and the `SUM` function to calculate the total order value for each customer. We then used the `HAVING` clause to filter the results to only include customers with a total order value greater than \$1000.

## Conclusion

SQL Group By is a powerful technique that enables you to group rows based on one or more columns in a table. This technique is useful when you need to summarize data or perform calculations on subsets of data. In this tutorial, we covered the syntax of SQL Group By, functions that can be used with it, and practical examples.