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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.
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).
UCI Machine Learning Repository
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