Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

Dataset

DOI

This is the replication data for our research article "ParSetgnostics: Quality Metrics for Parallel Sets." It contains the datasets used to obtain optimized Parallel Sets visualizations. We used the following six datasets for our experiments, which we describe on a per-file basis. All datasets are purely categorical datasets.

Identifier
DOI	https://doi.org/10.18419/darus-2869
Related Identifier	IsCitedBy https://doi.org/10.1111/cgf.14314
Metadata Access	https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-2869

Provenance
Creator	Dennig, Frederik L. ; Fischer, Maximilian T. ; Blumenschein, Michael ; Fuchs, Johannes ; Keim, Daniel ; Dimara, Evanthia
Publisher	DaRUS
Contributor	Dennig, Frederik L.; Keim, Daniel
Publication Year	2022
Funding Reference	DFG 251654672
Rights	CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess	true
Contact	Dennig, Frederik L. (Universität Konstanz); Keim, Daniel (Universität Konstanz)

Representation
Resource Type	Categorical data; Dataset
Format	text/tab-separated-values
Size	83070; 34150; 45176; 24328; 23663; 16051
Version	1.1
Discipline	Computer Science; Computer Science, Electrical and System Engineering; Design; Engineering Sciences; Fine Arts, Music, Theatre and Media Studies; Humanities