The Retail Sales Dataset is a synthetic dataset that simulates a realistic retail environment, which enables a deep dive into sales patterns and customer profiles. The dataset was originally made using the Numpy library, published in Kaggle, and owned by Mohammad Talib under a Public Domain license. It provides a realistic exploration of demographics, customer purchasing behaviors, and analysis of sales trends. The dataset portrays a fictional retail environment, focusing on customer interactions and retail operations. Attributes of the dataset includes: Transaction ID, Date, Customer ID, Gender, Age, Product Category, Quantity, Price per Unit, and Total Amount.
Members: Jelyka Dizon Erika Mariano Sophia Olandag Gabriel Loslos