VisQualdex -- the comprehensive guide to good data visualization
Jan Sawicki, Micha{\l} Burdukiewicz

TL;DR
VisQualdex introduces a systematic set of guidelines inspired by the Grammar of Graphics to evaluate data visualization quality, supported by a web tool to improve visualization standards and reduce misinformation.
Contribution
The paper presents VisQualdex, a comprehensive guideline framework for assessing data visualization quality, along with an accessible web server implementation.
Findings
Provides a structured evaluation framework for visualizations
Offers a web-based tool for practical application
Aims to improve visualization quality and reduce misinformation
Abstract
The rapid influx of low-quality data visualisations is one of the main challenges in today's communication. Misleading, unreadable, or confusing visualisations spread misinformation, failing to fulfill their purpose. The lack of proper tooling further heightens the problem of the quality assessment process. Therefore, we propose VisQualdex, a systematic set of guidelines isnpired by the Grammar of Graphics for evaluating the quality of data visualisations. To increase the practical impact of VisQualdex, we make these guidelines available in the form of the web server, visqual.info.
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Taxonomy
TopicsData Visualization and Analytics · Semantic Web and Ontologies
