The table contains a retail sales dataset with 1000 rows and 10 columns, including transaction details such as ID, date, customer information, product category, quantity, and price. It can be used to analyze sales trends, customer behavior, and calculate total revenue. (AI-generated)
Transaction ID, Date, Customer ID, Gender, Age, Product Category, Quantity, Price per Unit, Total Amount