| customers {datasetsICR} | R Documentation |
customers dataset
Description
Annual spending of a sample of consumers.
Usage
data(customers)Format
A data.frame with 440 rows on 8 variables.
Details
The dataset is a sample of 440 customers characterized
by 6 continuous variables, giving the annual spending related to different
types of goods. The variables are Fresh, Milk, Grocery, Frozen, Detergents_Paper and Delicassen.
Two more variables are categorical and provide information on the
customer channel (Channel with 2 levels: Horeca, i.e., Hotel/Restaurant/Cafe, Retail) and the region
(Region with 3 levels: Lisbon, Oporto, Other). The categorical variables should not play
an active role in the clustering process, but they can be used ex-post to aid cluster
interpretation.
Author(s)
Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
Source
http://archive.ics.uci.edu/ml
References
Abreu, N.: Analise do perfil do cliente Recheio e desenvolvimento de um sistema promocional.
Mestrado em Marketing, ISCTE-IUL, Lisbon (2011)
Giordani, P., Ferraro, M.B., Martella, F.: An Introduction to Clustering with R. Springer, Singapore (2020)
Examples
data(customers)
X <- customers[,3:8]