This Online Retail dataset contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2010 and 09/12/2011. The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers.
data(onlineretail)
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 (<U+00A3>)
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).
# NOT RUN {
data(onlineretail)
# }
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