Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections

DOI

Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in the visual analysis system.

Our project contains the following directories/files of interest:

datasets: Data sets for the use with our visual analysis system. The data can also be generated with the data preparation scripts. static, templates, and dimRed: Java script / Python code of our visualization approach. run_windows: Scripts to run our system on windows. run_linux: Scripts to run our system on linux. datasets.txt: List of directories used in preprocessing and for the visualization.

Please have a look at the README file for more details.

You may find the most recent version of the source code on GitHub: https://github.com/MunzT/visualQuality

Identifier
DOI https://doi.org/10.18419/darus-3553
Related Identifier IsCitedBy https://doi.org/10.1016/j.visinf.2024.04.004
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3553
Provenance
Creator Munz-Körner, Tanja ORCID logo; Weiskopf, Daniel ORCID logo
Publisher DaRUS
Contributor Munz-Körner, Tanja
Publication Year 2024
Funding Reference DFG EXC 2075 - 390740016
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Munz-Körner, Tanja (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/zip
Size 52269588
Version 1.0
Discipline Other