SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"

High-dimensional data analysis requires dealing with numerous challenges, such as selecting meaningful dimensions, finding relevant projections, and removing noise. As a result, the extraction of relevant and meaningful information from high-dimensional data is a difficult problem. This project aims at advancing the field of quality-metric-driven data visualisation with the central research question of how to quantify the quality of transformations and mappings of high-dimensional data for visual analytics.

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1 to 10 of 52 Results

categorical-data-map.zip Jan 26, 2024 - The Categorical Data Map - Replication Data ZIP Archive - 107.1 MB - MD5: d58f479bdc92b926921f7ef5e7429246 Code of the research prototype for "The Categorical Data Map" All required source code and data are packaged in `categorical-data-map.zip` and ready for development and deployment. Software Dependencies: The code in this component has been tested with *Docker version 24.0.5, bu...
dawson.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 81.1 KB - 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.
hassan.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 33.3 KB - 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 publ...
Instructional_Video.mp4 Jan 26, 2024 - The Categorical Data Map - Replication Data MPEG-4 Video - 67.7 MB - MD5: 4534ed233b64581fcd5a27fed32bd228 An instructional video demonstrating the prototype.
koh.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 44.1 KB - 3 Variables, 1077 Observations - UNF:6:jm91tihAXgNNRcyGYtStlA== A categorical dataset reconstructed from Koh et al. [YKII15] describing software dependencies. It is manually reconstructed from the Parallel Sets visualization in Figure 4 of the publication by Yano et al. The reconstruction method is described in the Process Metadata. The publi...
lincoff.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 1.5 MB - 23 Variables, 8124 Observations - UNF:6:rClruQR9kTSyr0NbJisRNA== A mushroom dataset with 23 attributes and 8124 category combinations by G. Lincoff and N. A. Society. (1981). National Audubon Society field guide to North American mushrooms, ser. Audubon Society field guide series. Knopf: Distributed by Random House, New York.
rogers-1.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 23.8 KB - 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. [RWH*16] The reconstruction method is described in the Proce...
rogers-2.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 23.1 KB - 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. [RWH*16] The reconstruction method is described in the Proc...
yano.csv Jan 26, 2024 - The Categorical Data Map - Replication Data Comma Separated Values - 20.3 KB - MD5: 869903971110c7c0c8db27d94199a943 A categorical dataset reconstructed from Yano et al. [KSDK11] describing property sales information from Singapor. It is manually reconstructed from the Parallel Sets visualization in Figure X of the publication by Yano et al. The reconstruction method is described in the Process...
pcp-line-adjustment-master.zip Mar 6, 2023 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" ZIP Archive - 1.4 MB - MD5: 01052b403a5baf507edfb9d7b0b4be80 Source code of the project with documentation to build the research prototype. Also available at https://github.com/davidpomerenke/slope.

categorical-data-map.zip

Jan 26, 2024 - The Categorical Data Map - Replication Data

ZIP Archive - 107.1 MB -

Code of the research prototype for "The Categorical Data Map" All required source code and data are packaged in `categorical-data-map.zip` and ready for development and deployment. Software Dependencies: The code in this component has been tested with *Docker version 24.0.5, bu...

dawson.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 81.1 KB - 4 Variables, 2201 Observations -

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.

hassan.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 33.3 KB - 4 Variables, 647 Observations -

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 publ...

Instructional_Video.mp4

Jan 26, 2024 - The Categorical Data Map - Replication Data

MPEG-4 Video - 67.7 MB -

An instructional video demonstrating the prototype.

koh.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 44.1 KB - 3 Variables, 1077 Observations -

A categorical dataset reconstructed from Koh et al. [YKII15] describing software dependencies. It is manually reconstructed from the Parallel Sets visualization in Figure 4 of the publication by Yano et al. The reconstruction method is described in the Process Metadata. The publi...

lincoff.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 1.5 MB - 23 Variables, 8124 Observations -

A mushroom dataset with 23 attributes and 8124 category combinations by G. Lincoff and N. A. Society. (1981). National Audubon Society field guide to North American mushrooms, ser. Audubon Society field guide series. Knopf: Distributed by Random House, New York.

rogers-1.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 23.8 KB - 3 Variables, 1013 Observations -

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. [RWH*16] The reconstruction method is described in the Proce...

rogers-2.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 23.1 KB - 3 Variables, 1012 Observations -

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. [RWH*16] The reconstruction method is described in the Proc...

yano.csv

Jan 26, 2024 - The Categorical Data Map - Replication Data

Comma Separated Values - 20.3 KB -

A categorical dataset reconstructed from Yano et al. [KSDK11] describing property sales information from Singapor. It is manually reconstructed from the Parallel Sets visualization in Figure X of the publication by Yano et al. The reconstruction method is described in the Process...

pcp-line-adjustment-master.zip

Mar 6, 2023 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

ZIP Archive - 1.4 MB -

Source code of the project with documentation to build the research prototype. Also available at https://github.com/davidpomerenke/slope.

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