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SQL COUNT AVG and SUM Functions

      



SQL COUNT(), AVG(), and SUM() functions are aggregate functions used in SQL queries to perform calculations on groups of data or columns in a database table. Here's a brief overview of each function:

COUNT(): The COUNT() function is used to count the number of rows or records in a database table or a result set of a query. It can be used with or without an argument, depending on what you want to count. Here are some examples:

a.      SELECT COUNT(*) FROM users; -- Count all rows in the users table

b.     SELECT COUNT(id) FROM orders; -- Count the number of non-null values in the id column of the orders table

c.      SELECT COUNT(DISTINCT city) FROM customers;  -- Count the number of distinct values in the city column of the customers table

AVG(): The AVG() function is used to calculate the average or mean value of a column in a database table or a result set of a query. It can be used with a numerical column as an argument. Here's an example:

·      SELECT AVG(price) FROM products; -- Calculate the average value of the price column in the products table

SUM(): The SUM() function is used to calculate the sum of values in a column in a database table or a result set of a query. It can be used with a numerical column as an argument. Here's an example:

·      SELECT SUM(quantity) FROM orders; -- Calculate the sum of the quantity column in the orders table

These functions are often used in combination with other SQL statements, such as SELECT, WHERE, GROUP BY, and HAVING, to perform more complex calculations and retrieve specific information from the database. It's important to understand how these aggregate functions work and how to use them effectively in your SQL queries to retrieve and manipulate data from a database table. Additionally, it's worth noting that these aggregate functions may behave differently depending on the database management system you are using, so be sure to refer to the documentation of your specific database system for accurate usage and syntax.

 






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