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What Do We Talk About When We Talk About Dashboards?
Abstract
Dashboards are one of the most common use cases for data visualization, and their design and contexts of use are considerably different from exploratory visualization tools. In this paper, we look at the broad scope of how dashboards are used in practice through an analysis of dashboard examples and documentation about their use. We systematically review the literature surrounding dashboard use, construct a design space for dashboards, and identify major dashboard types. We characterize dashboards by their design goals, levels of interaction, and the practices around them. Our framework and literature review suggest a number of fruitful research directions to better support dashboard design, implementation, and use.
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Nguyen, N., & Lê, L.-S. (2022) · International Conference on Advanced Computing and Analytics (ACOMPA) · doi:10.1109/acompa57018.2022.00010
Painel para visualização dos Indicadores de Saúde da Pactuação Interfederativa do Brasil
Filgueiras, L. V. L., Velloso, L. M. R., de CARVALHO, M. F., & Araújo, G. M. (2022) · doi:10.5151/ped2022-7499965
Gomez, R., & Elmalech, A. (2023) · Journal of Information Science · doi:10.1177/01655515231176649
Metadata
- Authors
- Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D.
- Affiliations
- Tableau Software (United States) (US)
- Simon Fraser University (CA)
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2019-01
- Volume
- 25
- Issue
- 1
- Pages
- 682-692
- ISSN
- 1077-2626 (ISSN-L)
- 1941-0506
- 2160-9306
- OpenAlex
- W2888652842
- Cited by
- 380
- References
- 63
- Citations by year
- 2026: 40 · 2025: 64 · 2024: 53 · 2023: 53 · 2022: 47 · 2021: 54 · 2020: 39 · 2019: 28
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Visualization and Computer Graphics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Microsoft Research
- Tableau Research
- Simon Fraser University
- NSERC
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- dashboards, data visualization, dashboard design, design space, interaction level
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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