Constraint-Based Breakpoints for Responsive Visualization Design and Development
Sarah Sch\"ottler, Jason Dykes, Jo Wood, Uta Hinrichs, Benjamin Bach

TL;DR
This paper presents a novel approach called constraint-based breakpoints for designing responsive visualizations that automatically adapt to various screen sizes and datasets, ensuring readability and space efficiency.
Contribution
It introduces a framework for creating adaptive visualization designs using constraints, enabling automatic adjustment to different display sizes and datasets.
Findings
Supports various data types and visualization forms
Ensures readability across diverse datasets and screen sizes
Automates adaptation process for responsive visualizations
Abstract
This paper introduces constraint-based breakpoints, a technique for designing responsive visualizations for a wide variety of screen sizes and datasets. Breakpoints in responsive visualization define when different visualization designs are shown. Conventionally, breakpoints are static, pre-defined widths, and as such do not account for changes to the visualized dataset or visualization parameters. To guarantee readability and efficient use of space across datasets, these static breakpoints would require manual updates. Constraint-based breakpoints solve this by evaluating visualization-specific constraints on the size of visual elements, overlapping elements, and the aspect ratio of the visualization and available space. Once configured, a responsive visualization with constraint-based breakpoints can adapt to different screen sizes for any dataset. We describe a framework that guides…
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