SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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3,561 to 3,570 of 3,661 Results

ranking-overall.tab Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Tabular Data - 69.5 KB - 4 Variables, 1500 Observations - UNF:6:+F3R0GQW6LJCaVBz8/ecBg== Data Ranking based on amount of helpful aspects/issues and rating
rating_behaviour.html Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures HTML - 3.3 MB - MD5: 0e2c8f623a9485c2419a8f38fdfe1c9e Image figure depicting the rating behaviour of individual workers as interactive HTML with tooltips.
raw_data_with_img_type.tab Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Tabular Data - 6.0 MB - 38 Variables, 30733 Observations - UNF:6:IXtu6WV4rrVfZQ7nE43zPg== Data anonymized raw data that was collected
README.html Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures HTML - 42.4 KB - MD5: 5ad28a75403ddfb940ee90e60ecbf9d4 our readme
README.md Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Markdown Text - 8.7 KB - MD5: b1a759e9540b5ada785f79110b654956
topics_labels_crowdsourcing.xlsx Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures MS Excel Spreadsheet - 58.7 KB - MD5: a5e7ebb5d8f7a4726443860e79765c11 Data results of the qualitative analysis of the crowdworkers comments
worker_behaviour_anonym.tab Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Tabular Data - 15.6 KB - 7 Variables, 200 Observations - UNF:6:2r9eMl0uP+2CA4vXRwrDWg== Data rating behaviour of indivdual workers
Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets" Jun 30, 2022 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings" Dennig, Frederik L.; Fischer, Maximilian T.; Blumenschein, Michael; Fuchs, Johannes; Keim, Daniel; Dimara, Evanthia, 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/DARUS-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF] 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.
dawson.tab Jun 30, 2022 - Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets" 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 Jun 30, 2022 - Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets" 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 publication does not provide a source for the underlying data. [HP14] Sab...

ranking-overall.tab

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Tabular Data - 69.5 KB - 4 Variables, 1500 Observations -

Data

Ranking based on amount of helpful aspects/issues and rating

rating_behaviour.html

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

HTML - 3.3 MB -

Image

figure depicting the rating behaviour of individual workers as interactive HTML with tooltips.

raw_data_with_img_type.tab

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Tabular Data - 6.0 MB - 38 Variables, 30733 Observations -

Data

anonymized raw data that was collected

README.html

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

HTML - 42.4 KB -

our readme

README.md

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Markdown Text - 8.7 KB -

topics_labels_crowdsourcing.xlsx

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

MS Excel Spreadsheet - 58.7 KB -

Data

results of the qualitative analysis of the crowdworkers comments

worker_behaviour_anonym.tab

Jul 11, 2022 - Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Tabular Data - 15.6 KB - 7 Variables, 200 Observations -

Data

rating behaviour of indivdual workers

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

Jun 30, 2022 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"

Dennig, Frederik L.; Fischer, Maximilian T.; Blumenschein, Michael; Fuchs, Johannes; Keim, Daniel; Dimara, Evanthia, 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/DARUS-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF]

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.

dawson.tab

Jun 30, 2022 - Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

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

Jun 30, 2022 - Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"

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 publication does not provide a source for the underlying data. [HP14] Sab...

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