Digital Wallet Transactions Dataset

Dataset Description

This dataset includes a rich array of features designed to replicate real-world digital wallet transactions:

• idx: A unique index that serves as a primary key for each record.
• transaction_id: A universally unique identifier (UUID) assigned to each transaction, ensuring distinctiveness across all records.
• user_id: A unique identifier representing each user in the dataset.
• transaction_date: The exact date and time when the transaction occurred, spanning a dynamic range over the past year to provide temporal diversity.
• product_category: The broad category under which the product or service falls, such as electronics, groceries, or utilities.
• product_name: The specific name of the product or service involved in the transaction.
• merchant_name: The name of the merchant or service provider facilitating the transaction.
• product_amount: The monetary value of the transaction, recorded in local currency.

Key Features

• Diverse Product and Service Representation: The dataset includes a variety of realistic product and service names across multiple categories, offering a holistic view of consumer preferences.
• Temporal Variability: Transaction dates span the last year, introducing seasonal and temporal patterns that can be analyzed for trends.
• Varied Payment Methods: Multiple payment methods are represented, providing a broad scope for studying consumer preferences in payment options.
• Comprehensive Transaction Statuses: The inclusion of various transaction statuses (Successful, Failed, Pending) allows for the analysis of transaction success rates and potential issues.
• Incentives and Rewards: Features like cashback and loyalty points reflect the modern features of digital wallets, offering avenues for analyzing consumer engagement strategies.