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onlineretail

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Transactions occurring for a UK-based and registered, non-store online retail between 01/12/2010 and 09/12/2011. This dataset is included in this package with permission of the donor, Dr. Daqing Chen.

The dataset consists of a data frame with eight variables: * InvoiceNo: A character indicating the invoice number, which is a 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter ‘c’, it indicates a cancellation. * StockCode: A character indicating the product (item) code, which is a 5-digit integral number uniquely assigned to each distinct product. It can be accompanied by a trailing uppercase letter. * Description: A character indicating the Product (item) name. * Quantity: A numeric indicating the quantities of each product (item) per transaction. * InvoiceDate: A POSIXct indicating the invoice day and time when a transaction was generated. * UnitPrice: A numeric indicating the product price per unit in sterling (£). * CustomerID: A numeric indicating the customer number, which is a 5-digit integral number uniquely assigned to each customer. * Country: A character indicating the name of the country where a customer resides.

References

Daqing Chen, Sai Liang Sain, and Kun Guo (2012), Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197-208, 2012 (Published online before print: 27 August 2012. doi:10.1057/dbm.2012.17).

Dr. Dqing’s ResearchGate page

Source

UCI Machine Learning Repository

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.