teams.int: Pickup League Teams Interval Dataset

In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis

Pickup League Teams Interval Dataset

Description

Interval-valued data for 5 teams in a local pickup league, classified by season performance. Each team is described by ranges of player age, weight, and speed.

Usage

data(teams.int)

Format

A data frame with 5 observations and 7 columns (3 interval variables in _l/_u Min-Max pairs, plus a label):

• team_type: Performance category (Very Good, Good, Average, Fair, Poor).

• age_l, age_u: Player age range (years).

• weight_l, weight_u: Player weight range (pounds).

• speed_l, speed_u: Speed range – time to run 100 yards (seconds).

Details

The symbolic results are more informative than classical midpoint analyses: the Very Good team has homogeneous players, whereas the Poor team has players varying widely in age, weight, and speed. Used for symbolic principal component analysis.

Metadata

Sample size (n)	5
Variables (p)	7
Subject area	Sports
Symbolic format	Interval
Analytical tasks	PCA

References

Billard, L. and Diday, E. (2006). Symbolic Data Analysis. Wiley. Table 2.24, p.63.

Examples

data(teams.int)

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