This dataset captures sales transactions from an electronics company, spanning a full year from September 2023 to September 2024. It provides insight into customer behavior, product preferences, and purchasing trends. The dataset is invaluable for analysts looking to understand consumer electronics market patterns, loyalty trends, and purchase decisions.
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Key Features:
Customer ID: A unique customer identifier.
Age: Numeric value representing the customer’s age.
Gender: Specifies the customer’s gender (Male/Female/Non-binary).
Loyalty Program Membership: Indicates if the customer is part of the company’s loyalty program (Yes/No). This status can fluctuate, showing when customers join or leave.
Product Type: Categorization of the electronic product purchased (e.g., Smartphone, Laptop, Tablet, Smartwatch, Home Appliances).
SKU: Stock Keeping Unit, a unique product code that helps in inventory tracking.
Product Rating: Customer’s rating of the product, scaled from 1 to 5 stars (All entries must have a rating).
Order Status: The outcome of the order (Completed, Cancelled, Returned).
Payment Method: Payment channels used by customers (e.g., Cash, Credit Card, Digital Wallets like PayPal, BNPL – Buy Now Pay Later).
Total Transaction Value: The total price of the entire purchase.
Unit Price: Cost of a single product item.
Quantity: The number of units purchased in each transaction.
Date of Purchase: The specific date the order was placed (Format: YYYY-MM-DD).