wholesale: Wholesale customers dataset

In tclust: Robust Trimmed Clustering

Wholesale customers dataset

Description

The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units on diverse product categories.

Usage

data(wholesale)

Format

A data frame containing 440 observations in 8 variables (6 numerical and two categorical). The variables are as follows:

• Region Customers' Region - Lisbon (coded as 1), Porto (coded as 2) or Other (coded as 3)

• Fresh Annual spending on fresh products

• Milk Annual spending on milk products

• Grocery Annual spending on grocery products

• Frozen Annual spending on frozen products

• Detergents Annual spending on detergents and paper products

• Delicatessen Annual spending on and delicatessen products

• Channel Customers' Channel - Horeca (Hotel/Restaurant/Café) or Retail channel. Horeca is coded as 1 and Retail channel is coded as 2

Source

Abreu, N. (2011). Analise do perfil do cliente Recheio e desenvolvimento de um sistema promocional. Mestrado em Marketing, ISCTE-IUL, Lisbon. url=https://api.semanticscholar.org/CorpusID:124027622

Examples

#--- EXAMPLE 1 ------------------------------------------ 
data (wholesale) 
x <- wholesale[, -c(1, ncol(wholesale))] 
clus <- tclust(x, k=3, alpha=0.1, nstart=200, niter1=3, niter2=17, 
   nkeep=10, opt="HARD", equal.weights=FALSE, restr.fact=50, trace=TRUE) 
 plot (x, col=clus$cluster+1)
 plot(clus)

tclust documentation built on April 4, 2025, 2:05 a.m.