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Contribution Details
| Type | Bachelor's Thesis |
| Scope | Discipline-based scholarship |
| Title | VisKnowsBest: A Web Catalogue of Visualization Guidelines and Best Practices |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2023 |
| Abstract Text | Visualization guidelines are one of the core elements of the visualization field. Guidelines pose an essential role for practitioners, researchers and students alike and therefore they should not just be accepted as they are proposed, but discussed, evolved and verified as thoroughly as possible. Currently, only a small amount of the proposed visualization guidelines go through this in-depth process, with the majority of them being the more prominent guidelines, such as the Data-Ink-Ratio or the Chart-Junk debate. While there are tools showcasing categorizations of visualization guidelines and forums for discussing them, there is no tool that acts as an accessible and easily navigable central source of knowledge for visualization guidelines. In the scope of this thesis, a tool is developed that provides guidance and context on visualization guidelines by providing additional information such as taxonomies and related scientific resources. To showcase the functionality of the tool, additional data required to provide guidance on visualization guidelines will be collected. The collected data is added to an existing collection of visualization guideline related data. The complete data will then be displayed on the VisKnowsBest tool to showcase a tool with the potential of acting as a central repository for visualization guidelines. |
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