Package 'onlineretail'

Online Retail Data Set

Description

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.

Usage

data(onlineretail)

Format

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.

Source

UCI Machine Learning Repository

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).

Examples

data(onlineretail)

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