wholesale: Wholesale Customers Data

In LFM: Laplace Factor Model Analysis and Evaluation

Wholesale Customers Data

Description

This dataset contains the annual spending amounts of wholesale customers on various product categories, along with their channel and region information.

Usage

wholesale

Format

A data frame with 440 rows and 8 columns.

• FRESH: Annual spending (m.u.) on fresh products.

• MILK: Annual spending (m.u.) on milk products.

• GROCERY: Annual spending (m.u.) on grocery products.

• FROZEN: Annual spending (m.u.) on frozen products.

• DETERGENTS_PAPER: Annual spending (m.u.) on detergents and paper products.

• DELICATESSEN: Annual spending (m.u.) on delicatessen products.

• CHANNEL: Customers' channel - Horeca (Hotel/Restaurant/Café) or Retail channel (Nominal).

• REGION: Customers' region - Lisbon, Oporto or Other (Nominal).

Details

The dataset includes both continuous spending variables and nominal classification variables (CHANNEL and REGION). Descriptive statistics for the continuous variables are provided, including minimum, maximum, mean, and standard deviation.

Note

The data can be used for clustering analysis to segment customers based on their purchasing behavior.

Source

UCI Machine Learning Repository

Examples

# Load the dataset
data(wholesale)

LFM documentation built on April 16, 2025, 9:07 a.m.