polish_voivodships.int: Polish Voivodships Socio-Economic Intervals
In dataSDA: Datasets and Basic Statistics for Symbolic Data Analysis
polish_voivodships.int R Documentation
Polish Voivodships Socio-Economic Intervals
Description
Interval-valued dataset of 18 Polish voivodships (administrative regions)
with 9 socio-economic interval variables describing demographic and
economic characteristics at the county (powiat) level.
Usage
data(polish_voivodships.int)
Format
A symbolic data frame (symbolic_tbl) with 18 observations
(voivodships) and 9 interval-valued variables:
-
V1 through V9: Interval-valued socio-economic
indicators aggregated across counties within each voivodship.
Row names are voivodship names (e.g., Dolnoslaskie, Lubelskie).
Metadata
Sample size (n) 18
Variables (p) 9
Subject area Socioeconomics
Symbolic format Interval
Analytical tasks Clustering
Source
clusterSim R package (data_pathtinger dataset).
References
Dudek, A. and Pelka, M. (2022). symbolicDA: Analysis of Symbolic
Data. R package.
Walesiak, M. and Dudek, A. (2020). clusterSim: Searching for
Optimal Clustering Procedure for a Data Set. R package.
Examples
data(polish_voivodships.int)
dataSDA documentation built on June 12, 2026, 9:06 a.m.
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| polish_voivodships.int | R Documentation |
Polish Voivodships Socio-Economic Intervals
Description
Interval-valued dataset of 18 Polish voivodships (administrative regions) with 9 socio-economic interval variables describing demographic and economic characteristics at the county (powiat) level.
Usage
data(polish_voivodships.int)
Format
A symbolic data frame (symbolic_tbl) with 18 observations
(voivodships) and 9 interval-valued variables:
-
V1throughV9: Interval-valued socio-economic indicators aggregated across counties within each voivodship.
Row names are voivodship names (e.g., Dolnoslaskie, Lubelskie).
Metadata
| Sample size (n) | 18 |
| Variables (p) | 9 |
| Subject area | Socioeconomics |
| Symbolic format | Interval |
| Analytical tasks | Clustering |
Source
clusterSim R package (data_pathtinger dataset).
References
Dudek, A. and Pelka, M. (2022). symbolicDA: Analysis of Symbolic Data. R package.
Walesiak, M. and Dudek, A. (2020). clusterSim: Searching for Optimal Clustering Procedure for a Data Set. R package.
Examples
data(polish_voivodships.int)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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