Type:	Package
Title:	Online Retail Dataset
Version:	0.1.2
Date:	2021-05-13
Description:	Transactions occurring for a UK-based and registered, non-store online retail between 01/12/2010 and 09/12/2011 (Chen et. al., 2012, <doi:10.1145/1835804.1835882>). This dataset is included in this package with the donor's permission, Dr. Daqing Chen.
Depends:	R (≥ 3.5.0)
License:	CC0
URL:	https://github.com/allanvc/onlineretail/, https://doi.org/10.1057/dbm.2012.17, https://www.researchgate.net/profile/Daqing-Chen
BugReports:	https://github.com/allanvc/onlineretail/issues/
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.1.1
LazyDataCompression:	xz
NeedsCompilation:	no
Packaged:	2021-05-13 23:29:46 UTC; allan
Author:	Allan Quadros [aut, cre]
Maintainer:	Allan Quadros <allanvcq@gmail.com>
Repository:	CRAN
Date/Publication:	2021-05-15 00:00:02 UTC

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)