SQL avg

Created By: chatGPT

SQL provides an aggregate function called AVG() that is used to calculate the average value of a numeric column. This function is particularly useful in generating insights from large sets of data, helping to find trends and make decisions based on average performance. Using AVG(), you can summarize data grouped by different criteria.
SELECT AVG(column_name)
FROM table_name
WHERE condition;
In this example, replace column_name with the name of the numeric column you want to average, and table_name with the name of your table. You can also incorporate a WHERE clause to filter the results based on specific conditions.
SELECT AVG(salary)
FROM employees
WHERE department = 'Sales';
Grouping data is another important aspect when working with averages. By using the GROUP BY clause, you can calculate averages for each group separately. This is useful when you want to see averages across different categories.
SELECT department, AVG(salary)
FROM employees
GROUP BY department;
In the above example, the average salary is calculated for each department in the employees table. The GROUP BY clause groups results by department before calculating the averages.
SELECT product, AVG(price)
FROM products
WHERE available = true
GROUP BY product;
To ensure accurate results, remember that AVG() will ignore any NULL values in the column being averaged. This way, you only compute the average based on valid data entries.
SELECT AVG(revenue)
FROM sales
WHERE transaction_date >= '2023-01-01';
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