county_income_gender.hist: County Income by Gender Histogram-Valued Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

County Income by Gender Histogram-Valued Dataset

Description

Histogram-valued dataset of 12 counties with gender-stratified income histograms and sample sizes. Each county has a male income histogram, a female income histogram, and the number of respondents in each group.

Usage

data(county_income_gender.hist)

Format

A data frame with 12 observations (counties) and 4 variables:

• male_income: Histogram of male household income (4 bins from $0 to $100k).

• female_income: Histogram of female household income (4 bins from $0 to $100k).

• n_males: Number of male respondents (numeric).

• n_females: Number of female respondents (numeric).

Row names are County_1 through County_12.

Metadata

Sample size (n)	12
Variables (p)	4
Subject area	Economics
Symbolic format	Histogram
Analytical tasks	Clustering, Descriptive statistics

Source

Billard, L. and Diday, E. (2020), Table 6-16.

References

Billard, L. and Diday, E. (2020). Clustering Methodology for Symbolic Data. Wiley, Chichester. Table 6-16.

Examples

data(county_income_gender.hist)

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