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Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public (2306.16513v1)

Published 28 Jun 2023 in cs.HC and cs.GR

Abstract: Dashboards remain ubiquitous artifacts for presenting or reasoning with data across different domains. Yet, there has been little work that provides a quantifiable, systematic, and descriptive overview of dashboard designs at scale. We propose a schematic representation of dashboard designs as node-link graphs to better understand their spatial and interactive structures. We apply our approach to a dataset of 25,620 dashboards curated from Tableau Public to provide a descriptive overview of the core building blocks of dashboards in the wild and derive common dashboard design patterns. To guide future research, we make our dashboard corpus publicly available and discuss its application toward the development of dashboard design tools.

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Authors (6)
  1. Joanna Purich (2 papers)
  2. Arjun Srinivasan (19 papers)
  3. Michael Correll (22 papers)
  4. Leilani Battle (29 papers)
  5. Vidya Setlur (31 papers)
  6. Anamaria Crisan (12 papers)
Citations (2)

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