this graph was created in R :
The dataset consists of multiple files, each offering distinct insights into supermarket sales and transactions, providing a comprehensive resource for analyzing business performance and customer behavior. Below is an overview of the primary files and their contents:
supermarket_sales.csv
This is the core file of the dataset and contains transactional data for a supermarket chain. It is structured with several key columns, each offering specific details about individual transactions:
Invoice ID: A unique identifier assigned to each transaction for easy tracking and reference.
Branch: Indicates the branch where the sale occurred, represented by labels A, B, or C.
City: Specifies the city where the respective branch is located.
Customer Type: Classifies customers as either members or non-members, providing insights into loyalty and membership impact.
Gender: Captures the gender of the customer involved in the transaction.
Product Line: Categorizes the purchased products into defined categories such as electronics, food, health, and others.
This dataset serves as a valuable tool for conducting detailed sales analysis, understanding customer demographics, evaluating branch performance, and identifying trends across different product categories and customer types.