create table Customers --Creating a table (customer_id int, first_name varchar(20), last_name varchar(20), age int, country varchar(20)) insert into Customers --Inserting a value format (customer_id, first_name, last_name, age, country) values --Values to be inserted (1, 'John', 'Doe', 31, 'USA'), (2, 'Robert', 'Luna', 22, 'USA'), (3, 'David', 'Robinson', 22, 'UK'), (4, 'John', 'Reinhardt', 25, 'UK'), (5, 'Betty', 'Doe', 28, 'UAE'), (6, 'John', 'Reinhardt', 25, '') create table Orders (order_id int, item varchar(20), amount int, customer_id int) insert into Orders (order_id, item, amount, customer_id) values (1, 'Keyboard', 400, 4), (2, 'Mouse', 300, 4), (3, 'Monitor', 12000, 3), (4, 'Keyboard', 400, 1), (2, 'Mousepad', 250, 2) create table Shippings (shipping_id int, status varchar(20), customer int) insert into Shippings (shipping_id, status, customer) values (1, 'Pending', 2), (2, 'Pending', 4), (3, 'Delivered', 3), (4, 'Pending', 5), (5, 'Delivered', 1) select * from Customers --Select all columns from customers select * from Orders select * from Shippings select * from customers --Return to the country is USA where country = 'USA' select distinct(country) from customers select * from orders order by customer_id select * from customers where country = 'USA' and age = 22 select * from customers where country = 'USA' or age = 22 select * from customers where not country = 'USA' select * from customers where country is null update customers set country = 'Mexico' where customer_id = '6' delete from Customers where customer_id = 6 select max(amount) from orders select min(amount) from orders select count(amount) from orders select avg(amount) from orders select sum(amount) from orders select * from customers where last_name like 'R%' select * from orders where amount between 200 and 400 select * from customers where country in ('UK', 'UAE') select item as product from orders select first_name.customers, last_name.customers, order_id from customers inner join orders on customers.customer_id = orders.customer_id