I Do Not Completely Trust Your Data - Towards Visualization Lexicons for Ambiguous and Incomplete Data
Date
2024-10-15
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Publisher
IEEE Vis 2024 Poster Track
Abstract
We present two challenges associated with our current work on a visual lexicon that expresses data absences and ambiguities. First, most visualization approaches fail to express the potential ambiguity and incompleteness in the data they represent. This can pose a fundamental sense-making and communication challenge in contexts (like community organizing), where official data sources and local knowledge may have little overlap or even disagree. Second, indicating expectations, ambiguity, or contradiction between community and administrative data is likely to increase visualization complexity. This increased complexity poses challenges for accessibility and engagement. We outline our work to create a visual lexicon and address the interactions between these challenges.