employment.int: European Employment by Gender and Age Interval Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

European Employment by Gender and Age Interval Dataset

Description

Interval-valued proportions for 12 sex-age population groups across employment variables (employment type, education, industry sector, occupation, marital status). Used for factorial discriminant analysis.

Usage

data(employment.int)

Format

A data frame with 12 observations and 20 columns (9 interval variables in _l/_u Min-Max pairs, plus a group label and class):

• group: Sex-age group identifier (character).

• full_time_l, full_time_u: Full-time employment proportion range.

• part_time_l, part_time_u: Part-time employment proportion range.

• primary_studies_l, primary_studies_u: Primary studies proportion range.

• secondary_studies_l, secondary_studies_u: Secondary studies proportion range.

• uni_studies_l, uni_studies_u: University studies proportion range.

• employee_l, employee_u: Employee proportion range.

• manufacturing_l, manufacturing_u: Manufacturing sector proportion range.

• construction_l, construction_u: Construction sector proportion range.

• wholesale_retail_l, wholesale_retail_u: Wholesale/retail proportion range.

• class: Group classification (numeric).

Metadata

Sample size (n)	12
Variables (p)	20
Subject area	Economics
Symbolic format	Interval
Analytical tasks	Discriminant analysis, Classification

References

Diday, E. and Noirhomme-Fraiture, M. (Eds.) (2008). Symbolic Data Analysis and the SODAS Software. Wiley. Table 18.1.

Examples

data(employment.int)

dataSDA documentation built on June 12, 2026, 9:06 a.m.