如何使用MySQL的数据分析函数进行高级数据分析

SELECT SUM(sales) AS total_sales FROM orders;

SELECT AVG(order_amount) AS average_amount FROM orders;

SELECT COUNT(*) AS total_orders FROM orders;

SELECT MAX(order_amount) AS max_amount, MIN(order_amount) AS min_amount FROM orders;

SELECT GROUP_CONCAT(product_name) AS products FROM products;

SELECT product_name, sales, RANK() OVER (ORDER BY sales DESC) AS ranking FROM products;

SELECT product_name, ROW_NUMBER() OVER (ORDER BY product_id) AS row_number FROM products;

SELECT order_date, order_amount, LAG(order_amount) OVER (ORDER BY order_date) AS previous_amount, LEAD(order_amount) OVER (ORDER BY order_date) AS next_amount FROM orders;

SELECT product_name, sales, NTILE(4) OVER (ORDER BY sales DESC) AS quartile FROM products;

SELECT order_date, order_amount, SUM(order_amount) OVER (ORDER BY order_date) AS cumulative_sales FROM orders;

SELECT order_date, order_amount, AVG(order_amount) OVER (ORDER BY order_date) AS average_sales FROM orders;

SELECT order_date, order_amount, SUM(order_amount) OVER (ORDER BY order_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cumulative_sales FROM orders;