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1 to 10 of 15 Results
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...
allData.csv
Aug 1, 2023 - Supplemental Material: "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality"
Comma Separated Values - 231.4 KB - MD5: 4bbb0cb00bfd3c3d3651bc7dd68c108b
Raw data collected during the experiment.
StudyResult.csv
Feb 28, 2023 - Data for: "Scanpath Prediction on Information Visualizations"
Comma Separated Values - 2.7 KB - MD5: ae04863dcdd4aade97eb17f2407099f4
config.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 1.5 KB - MD5: bd2efb8f90f773ec0b66e50a0c4b4012
package.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 524 B - MD5: e9d3d13e6d48793206bf0e9459b61b58
subject_file_0_10.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 102.1 KB - MD5: 5fe4be2ebe663e468f7ea95d0b715c9e
subject_file_0_1.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 98.0 KB - MD5: 89508700129a6f6c130a4e33bd2f2e08
subject_file_0_2.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 101.3 KB - MD5: 7848e333d653f7b90abc44a68ff171eb
subject_file_0_3.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 93.4 KB - MD5: aa53b73ae7f84ec05ee9aff41ce3c551
subject_file_0_4.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 135.4 KB - MD5: 53be73a02b72904c8e30cfefaf206fab
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