SQL Tutorial 13: Identifying the Most Popular Products and Analyzing Purchase Patterns

Watch the entire SQL playlist here: https://youtube.com/playlist?list=PL_neLGJ5LPUzPIg96tf7rXb57D6-3n5Pq&si=_D__T3ZNrUnBvs2- In this video, we take a deep dive into SQL Server, analyzing product transactions to determine the most popular product. You'll learn how to leverage Common Table Expressions (CTEs), aggregate functions (SUM, AVG, MAX), and CASE statements to extract valuable insights from your data. What You’ll Learn: 1. Using CTEs for complex queries 2. Aggregating data with SUM, AVG, and MAX 3. Identifying the most popular product with SQL logic Schema & Sample Data: -- Create the table to store the transactions CREATE TABLE ProductTransactions ( TransactionID INT PRIMARY KEY, ProductID INT, ProductName VARCHAR(100), Quantity INT, TransactionDate DATE ); -- Insert sample data into the table INSERT INTO ProductTransactions (TransactionID, ProductID, ProductName, Quantity, TransactionDate) VALUES (1, 101, 'Laptop', 2, '2025-01-01'), (2, 102, 'Phone', 5, '2025-01-02'), (3, 101, 'Laptop', 3, '2025-01-03'), (4, 103, 'Tablet', 1, '2025-01-04'), (5, 104, 'Headphones', 7, '2025-01-05'), (6, 102, 'Phone', 4, '2025-01-06'), (7, 101, 'Laptop', 6, '2025-01-07'), (8, 103, 'Tablet', 3, '2025-01-08'), (9, 104, 'Headphones', 2, '2025-01-09'), (10, 105, 'Smartwatch', 8, '2025-01-10'); -- Expected Output: -- ProductID ProductName TotalQuantity AvgQuantity MostPopularProduct -- 101 Laptop 11 3.67 Laptop -- 102 Phone 9 4.5 null -- 104 Headphones 9 4.5 null -- 103 Tablet 4 2.0 null Follow me on LinkedIn: https://www.linkedin.com/in/paragtech/ Relevant hastags: #SQL #SQLServer #SQLQueries #AdvancedSQL #DataAnalysis #Database #SQLTutorial #SQLTips #SQLTricks #LearnSQL #Programming #DataScience #BigData #SQLTraining #SQLQueryOptimization #CTE #AggregateFunctions #SQLDevelopment #SQLForBeginners #sqlinterviewquestionsandanswers Don’t forget to LIKE, COMMENT, and SUBSCRIBE for more SQL tutorials!