Question
Jan Villaroel
Topic: Programming Posted 1 year ago
Write a minimum of 15 different queries following guidelines below. Write questions that the query should answer. • Write an SQL statement to answer the question. • Must demonstrate the use of the following

Write a minimum of 15 different queries following guidelines below:

Checklist:
• Write questions that the query should answer.
• Write an SQL statement to answer the question.
• Must demonstrate the use of the following:

1. Arithmetic Operators
2. Distinct
3. Concatenation
4. Comparison operators.
5. BETWEEN … AND
6. AND
7. OR
8. NOT
9. IN
10. LIKE
11. Multi table JOIN
12. SORT
13. Arithmetic functions (SUM, COUNT, AVG, MIN, MAX etc)
14.


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Koala Tutor
Dec 2, 2023
Koala Ai Support

GROUP BY
15. Subquery

1. What is the total number of orders placed?
SELECT COUNT(*) FROM Orders;

2. How many different customers have placed orders?
SELECT COUNT(DISTINCT customer_id) FROM Orders;

3. What is the full address of the customer with ID 123?
SELECT CONCAT(address, ', ', city, ', ', state, ', ', country) AS Full_Address FROM Customers WHERE customer_id = 123;

4. How many orders were placed between January 1, 2020, and December 31, 2020?
SELECT COUNT(*) FROM Orders WHERE order_date BETWEEN '2020-01-01' AND '2020-12-31';

5. What is the total revenue generated from orders placed by customer ID 456?
SELECT SUM(total_amount) FROM Orders WHERE customer_id = 456;

6. How many products have a price greater than $50?
SELECT COUNT(*) FROM Products WHERE price > 50;

7. Which orders were placed by customers in California or New York?
SELECT * FROM Orders WHERE customer_state IN ('California', 'New York');

8. Get the latest order placed by customer with ID 789.
SELECT * FROM Orders WHERE customer_id = 789 ORDER BY order_date DESC LIMIT 1;

9. Which customers have not placed any orders?
SELECT * FROM Customers WHERE customer_id NOT IN (SELECT DISTINCT customer_id FROM Orders);

10. Find all customers whose name starts with 'J'.
SELECT * FROM Customers WHERE customer_name LIKE 'J%';

11. Retrieve the product name and category name for all products.
SELECT Products.product_name, Categories.category_name FROM Products
JOIN Categories ON Products.category_id = Categories.category_id;

12. Sort the orders by total amount in descending order.
SELECT * FROM Orders ORDER BY total_amount DESC;

13. Calculate the average amount of orders placed.
SELECT AVG(total_amount) FROM Orders;

14. Find the product with the highest price.
SELECT MAX(price) FROM Products;

15. Retrieve the order details for orders placed by customers in California.
SELECT * FROM Orders WHERE customer_state = 'California';

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