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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11 to 20 of 71 Results
07_sampled_perspectives.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 604.1 MB - MD5: 360bca26060089914cf383905fe3eaa9
Contains for each graph the 2D projections (GraphML) and 3D positions for 5000 sampled perspectives (Fibonacci Lattice). These were used to find aesthetics minima and maxima for normalisation.
08_aesthetics_2D_measures_raw.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 17.0 MB - MD5: 9ecc831d0ac8d2312104422ddde78cfc
The calculation results of the 2D aesthetics measures (implemented in GdMetriX) without normalisation (chosen and sampled perspectives).
09_aesthetics_3D_overlap_measures_raw_chosen.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 30.3 KB - MD5: 760e4146671621135c8228850c11b941
The calculation results of the 3D overlap measures without normalisation for the perspectives chosen by users.
10_aesthetics_3D_overlap_measures_raw_samples.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 5.3 MB - MD5: 8935bb6157ac244650a085ad02de7d4b
The calculation results of the 3D overlap measures without normalisation for the 5000 sampled perspectives.
11_aesthetics_ISO_measure_raw_chosen.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 18.6 KB - MD5: bee8cc185b247659cc33c79727c36361
The calculation results of the 3D ISO measure without normalisation for the perspectives chosen by users.
12_aesthetics_ISO_measure_samples.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 2.0 MB - MD5: c809bae6b72e974499b4c35701d0d7c9
The calculation results of the 3D ISO measure without normalisation for the 5000 sampled perspectives.
13_aesthetics_measures_normalised.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 259.7 KB - MD5: d6241aa76c48d0db72fd965970b3a814
The normalised aesthetic measure results for all user-selected perspectives, all graphs, and all measures. Normalisation is based on the minimum and maximum aesthetic measure values as found by the 5000 sampled viewpoints.
14_combinations_calculation.csv.zip
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
ZIP Archive - 5.4 KB - MD5: 76c5881ab15bb05bce6bce7688f80c31
The calculation results of the logarithmic regression and the sequential quadratic programming approaches for 21, 5, and 3 measures (for all data and the individual sub data types described in the paper).
README.txt
Aug 5, 2025 - Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"
Plain Text - 2.7 KB - MD5: 1bed660d41f2b414d75054674d852ecb
Documentation
An overview and description of the entire dataset.
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, build 24.0.5-0ubuntu1~22.04.1* and *docker-compose version 1.29.2*. All...
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