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

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Dennig, Frederik L., 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/darus-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF]

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Description	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. (2022-06-02)
Subject	Computer and Information Science
Keyword	Human-Centered Computing, Visualization Design and Evaluation Methods
Related Publication	Dennig, F.L., Fischer, M.T., Blumenschein, M., Fuchs, J., Keim, D.A. and Dimara, E. (2021). ParSetgnostics: Quality Metrics for Parallel Sets. Computer Graphics Forum, 40: 375-386 doi: 10.1111/cgf.14314
License/Data Use Agreement	CC BY 4.0

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	1 to 6 of 6 Files	Original Format Archival Format (.tab)
	dawson.tab Tabular Data - 81.1 KB Published Jun 30, 2022 27 Downloads 4 Variables, 2201 Observations UNF:6:n0hJE5dgUmOgW4TXbPH6jw== The well-known titanic dataset from Dawson R. J. M. (1995) [Daw95]. [Daw95] Dawson R. J. M.:The "unusual episode" data revisited, 1995. http://jse.amstat.org/v3n3/datasets.dawson.html, last accessed 2020-09-18.	Preview "dawson.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	hassan.tab Tabular Data - 33.3 KB Published Jun 30, 2022 27 Downloads 4 Variables, 647 Observations UNF:6:452w0FICojAEWwAMO7rPdQ== A categorical dataset reconstructed from Hassan et al. [HP14] describing data storage security and cost data. It is manually reconstructed from the Parallel Sets visualization in Figure 2 of the publication. The reconstruction method is described in the Process Metadata. The publication does not provide a source for the underlying data. [HP14] Sabri Hassan and Günther Pernul. 2014. Efficiently Managing the Security and Costs of Big Data Storage using Visual Analytics. In Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS '14). Association for Computing Machinery, New York, NY, USA, 180–184. https://doi.org/10.1145/2684200.2684333	Preview "hassan.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	koh.tab Tabular Data - 44.1 KB Published Jun 30, 2022 26 Downloads 3 Variables, 1077 Observations UNF:6:jm91tihAXgNNRcyGYtStlA== A categorical dataset reconstructed from Koh et al. [KSDK11] describing property sales information from Singapor. It is manually reconstructed from the Parallel Sets visualization in Figure 4 of the publication by Koh et al. The reconstruction method is described in the Process Metadata. The publication does not provide a source for the underlying data. [KSDK11] L. C. Koh, A. Slingsby, J. Dykes and T. S. Kam, "Developing and Applying a User-Centered Model for the Design and Implementation of Information Visualization Tools," 2011 15th International Conference on Information Visualisation, 2011, pp. 90-95, doi: 10.1109/IV.2011.32	Preview "koh.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	rogers-1.tab Tabular Data - 23.8 KB Published Jun 30, 2022 26 Downloads 3 Variables, 1013 Observations UNF:6:feip2wKBPgQTWR5JZ3oK8g== The first categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (a) of the publication by Rogers et al. [RWH16] The reconstruction method is described in the Process Metadata. The publication does not provide a source for the underlying data. [RWH16] K. Rogers, J. Wiles, S. Heath, K. Hensby and J. Taufatofua, "Discovering patterns of touch: A case study for visualization-driven analysis in Human-Robot Interaction," 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2016, pp. 499-500, doi: 10.1109/HRI.2016.7451825.	Preview "rogers-1.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	rogers-2.tab Tabular Data - 23.1 KB Published Jun 30, 2022 27 Downloads 3 Variables, 1012 Observations UNF:6:UPfzwP4EP7X8E9Uk4KxFbQ== The second categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (b) of the publication by Rogers et al. [RWH16] The reconstruction method is described in the Process Metadata. The publication does not provide a source for the underlying data. [RWH16] K. Rogers, J. Wiles, S. Heath, K. Hensby and J. Taufatofua, "Discovering patterns of touch: A case study for visualization-driven analysis in Human-Robot Interaction," 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2016, pp. 499-500, doi: 10.1109/HRI.2016.7451825.	Preview "rogers-2.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data
	schaetzle.tab Tabular Data - 15.7 KB Published Jun 30, 2022 25 Downloads 2 Variables, 1021 Observations UNF:6:E70xYkGzgv0fjFoXL7T9uA== A categorical dataset reconstructed from Schätzle et al. [SDB19] describing language change in Icelandic. It is manually reconstructed from the Parallel Sets visualization in Figure 3 of the publication. The reconstruction method is described in the Process Metadata. The publication does not provide a source for the underlying data. [SDB19] Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, and Miriam Butt. 2019. Visualizing Linguistic Change as Dimension Interactions. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 272–278, Florence, Italy. Association for Computational Linguistics.	Preview "schaetzle.tab" Access File File Access Public Download Options Comma Separated Values (Original File Format) Tab-Delimited RData Download Metadata Variable Metadata Data File Citation EndNote XML RIS BibTeX Explore Options View Data

Citation Metadata

Persistent Identifier	doi:10.18419/darus-2869
Publication Date	2022-06-30
Title	Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"
Author	Dennig, Frederik L. (Universität Konstanz) - ORCID: 0000-0003-1116-8450
Point of Contact	Use email button above to contact. Dennig, Frederik L. (Universität Konstanz) Keim, Daniel A. (Universität Konstanz)
Description	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. (2022-06-02)
Subject	Computer and Information Science
Keyword	Human-Centered Computing (ACM Computing Classification System) https://vocabularyserver.com/acm/12/?ark=ark:/99152/t3y82qmxo1zjr9 Visualization Design and Evaluation Methods (Visualization design and evaluation methods) https://vocabularyserver.com/acm/12/?ark=ark:/99152/t3y82qmyr1qjr9
Related Publication	Dennig, F.L., Fischer, M.T., Blumenschein, M., Fuchs, J., Keim, D.A. and Dimara, E. (2021). ParSetgnostics: Quality Metrics for Parallel Sets. Computer Graphics Forum, 40: 375-386 doi: 10.1111/cgf.14314 https://doi.org/10.1111/cgf.14314
Language	English
Producer	Dennig, Frederik L. (Universität Konstanz)
Funding Information	DFG: 251654672
Project	SFB/Transregio 161 Quantiﬁcation of Visual Analytics Transformations and Mappings (Level 1)
Depositor	Dennig, Frederik L.
Deposit Date	2022-05-18
Data Type	Categorical data
Data Source	Sabri Hassan and Günther Pernul. (2014). Efficiently Managing the Security and Costs of Big Data Storage using Visual Analytics. In Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services (iiWAS '14). Association for Computing Machinery, New York, NY, USA, 180-184. doi: 10.1145/2684200.2684333; L. C. Koh, A. Slingsby, J. Dykes and T. S. Kam. (2011). Developing and Applying a User-Centered Model for the Design and Implementation of Information Visualization Tools. In 2011 15th International Conference on Information Visualisation,pp. 90-95. doi: 10.1109/IV.2011.32; K. Rogers, J. Wiles, S. Heath, K. Hensby and J. Taufatofua. (2016). Discovering patterns of touch: A case study for visualization-driven analysis in Human-Robot Interaction. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 499-500. doi: 10.1109/HRI.2016.7451825; Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim and Miriam Butt. (2019). Visualizing Linguistic Change as Dimension Interactions. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pages 272-278, Florence, Italy. Association for Computational Linguistics. doi: 10.18653/v1/W19-4734; Dawson R. J. M.:The "unusual episode" data revisited, 1995. http://jse.amstat.org/v3n3/datasets.dawson.html, last accessed 2020-09-18.

Process Metadata

Processing Methods

Reconstruction method (To reconstruct the underlying dataset, we enlarged the image to the point where the individual pixels became visible in GIMP. In this picture, we trace the different ribbons, top to bottom, of the parallel set visualization to determine the categorical subset, in this case, a 3-dimensional subset. The size of a subset is defined by the covered range on the last dimension axes on the bottom. We count the pixel width on the axes for each ribbon. Finally, to create the dataset, create a row for each pixel describing its subset.)

Software

GIMP Version: 2.10.8 (https://www.gimp.org/) GNU General Public License

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Creative Commons Attribution 4.0 International License. CC BY 4.0

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