-- Simple SQL-like data for demonstration
-- This is not a runnable SQL script, but rather a representation of data.

CREATE TABLE users (
    id INT PRIMARY KEY,
    username VARCHAR(50) NOT NULL,
    email VARCHAR(100) UNIQUE,
    created_at DATETIME
);

INSERT INTO users (id, username, email, created_at) VALUES
(1, 'john_doe', 'john.doe@example.com', '2023-01-15 10:00:00'),
(2, 'jane_smith', 'jane.smith@example.com', '2023-01-15 11:30:00'),
(3, 'peter_jones', 'peter.jones@example.com', '2023-01-16 09:00:00');

CREATE TABLE products (
    product_id INT PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    price DECIMAL(10, 2),
    stock_quantity INT
);

INSERT INTO products (product_id, name, price, stock_quantity) VALUES
(101, 'Laptop', 1200.00, 50),
(102, 'Mouse', 25.00, 200),
(103, 'Keyboard', 75.00, 100);
