SQL Exercises: Orders with values greater than the given date average

Last update on December 20 2024 12:04:54 (UTC/GMT +8 hours)

4. From the following tables write a SQL query to find the order values greater than the average order value of 10th October 2012. Return ord_no, purch_amt, ord_date, customer_id, salesman_id.

ord_no      purch_amt   ord_date    customer_id  salesman_id
----------  ----------  ----------  -----------  -----------
70001       150.5       2012-10-05  3005         5002
70009       270.65      2012-09-10  3001         5005
70002       65.26       2012-10-05  3002         5001
70004       110.5       2012-08-17  3009         5003
70007       948.5       2012-09-10  3005         5002
70005       2400.6      2012-07-27  3007         5001
70008       5760        2012-09-10  3002         5001
70010       1983.43     2012-10-10  3004         5006
70003       2480.4      2012-10-10  3009         5003
70012       250.45      2012-06-27  3008         5002
70011       75.29       2012-08-17  3003         5007
70013       3045.6      2012-04-25  3002         5001

Sample Solution:

-- Selecting all columns from the 'orders' table
SELECT *
-- Specifying the table to retrieve data from ('orders')
FROM orders
-- Filtering the results based on the condition that 'purch_amt' is greater than the result of a subquery
WHERE purch_amt >
    -- Subquery: Selecting the average 'purch_amt' from the 'orders' table where 'ord_date' is '10/10/2012'
    (SELECT AVG(purch_amt) 
     FROM orders 
     WHERE ord_date = '10/10/2012');

Output of the Query:

ord_no	purch_amt	ord_date	customer_id	salesman_id
70005	2400.60		2012-07-27	3007		5001
70008	5760.00		2012-09-10	3002		5001
70003	2480.40		2012-10-10	3009		5003
70013	3045.60		2012-04-25	3002		5001

Explanation:

The said SQL query selects all columns (*) from the orders table where the 'purch_amt' (purchase amount) is greater than the average 'purch_amt' from the orders table where the 'ord_date' (order date) is equal to '10/10/2012'.
In other words, it is selecting all rows from the orders table where the purchase amount is greater than the average purchase amount of all orders made on 10/10/2012.

Visual Explanation:

Practice Online

Sample Database: inventory

Query Visualization:

Duration:

Rows:

Cost:

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