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Transnational Gift Store Data
Retail & Consumer Behavior
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About
This dataset captures transnational transactional data from a UK-based online retail store, focusing on sales and cancellations between 1st December 2010 and 9th December 2011. The company primarily sells unique all-occasion gifts, and a notable portion of its clientele consists of wholesalers. This data provides insight into e-commerce operations, customer purchasing patterns, and product performance within a specific retail segment.
Columns
- InvoiceNo: A 6-digit nominal number that uniquely identifies each transaction. Invoices beginning with the letter 'c' indicate a cancellation.
- StockCode: A 5-digit nominal number serving as a unique identifier for each distinct product or item.
- Description: The nominal name of the product or item involved in the transaction.
- Quantity: A numeric value representing the quantity of each product (item) per transaction. This field can contain both positive and negative values.
- InvoiceDate: A numeric (date and time) field indicating when each transaction was generated.
- UnitPrice: A numeric value detailing the price per unit of the product, expressed in sterling.
- CustomerID: A 5-digit nominal number uniquely assigned to each customer. Approximately 25% of records have missing customer IDs.
- Country: The nominal name of the country where the customer resides.
Distribution
The dataset is in CSV format and has a file size of approximately 48.04 MB. It consists of 8 distinct columns and contains 542,000 individual records of transactional information.
Usage
- Customer Behaviour Analysis: Understand purchasing habits, identify loyal customers, and analyse customer segments.
- Sales Performance Tracking: Monitor product sales, identify best-selling items, and track revenue over time.
- Inventory Optimisation: Forecast demand for gifts and manage stock levels effectively.
- Recommender System Development: Build algorithms to suggest relevant products to customers based on past transactions.
- Market Basket Analysis: Discover associations between products to inform promotional strategies and product placement.
- Fraud Detection: Identify unusual transaction patterns or significant cancellations.
Coverage
- Geographic: This is a transnational dataset, with customer residences spanning 38 different countries. The United Kingdom accounts for 91% of the customer base.
- Time Range: The data covers transactions that occurred between 1st December 2010 and 9th December 2011.
- Demographic: While explicit demographic data is not included, the dataset reflects transactions from customers of a retailer specialising in unique all-occasion gifts, with a notable segment being wholesalers.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Retail Analysts: For understanding market trends and operational efficiency in e-commerce.
- Data Scientists: To develop predictive models for sales, customer lifetime value, and product recommendations.
- Business Strategists: To inform decisions regarding product assortment, pricing, and international market expansion.
- Students and Researchers: For academic projects and studies related to retail, economics, and data science.
Dataset Name Suggestions
- UK E-commerce Gift Sales 2010-2011
- Online Retail Transactions Log
- Transnational Gift Store Data
- Retail Sales and Customer Data UK
Attributes
Original Data Source: Transnational Gift Store Data
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