The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Interactive Dynamics for Visual Analysis: A taxonomy of tools that support the fluent and flexible use of visualizations
Open accessAbstract
The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.
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Cites
ggplot2: Elegant Graphics for Data Analysis
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The eyes have it: a task by data type taxonomy for information visualizations
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Self-citationReadings in Information Visualization: Using Vision to Think
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Self-citationMapReduce: Simplified Data Processing on Large Cluster
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Narrative Visualization: Telling Stories with Data
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Self-citationThe History of the Cluster Heat Map
Wilkinson, L., & Friendly, M. (2009) · The American Statistician · doi:10.1198/tas.2009.0033 · Cited by 932
Cited by
What Makes a Visualization Memorable?
Borkin, M. A., Vo, A. A., Bylinskii, Z., Isola, P., Sunkavalli, S., Oliva, A., & Pfister, H. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.234 · Cited by 666
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., & Gray, A. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359313 · Cited by 342
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Zhang, A. X., Muller, M., & Wang, D. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3392826 · Cited by 268
Programmed method: developing a toolset for capturing and analyzing tweets
Borra, E., & Rieder, B. (2014) · Aslib Journal of Information Management · doi:10.1108/ajim-09-2013-0094 · Cited by 262
Constructing Visual Representations: Investigating the Use of Tangible Tokens
Huron, S., Jansen, Y., & Carpendale, S. (2014) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2014.2346292 · Cited by 141
Metadata
- Authors
- Heer, J., & Shneiderman, B.
- Venue
- Queue
- Published
- 2012-02
- Volume
- 10
- Issue
- 2
- Pages
- 30-55
- ISSN
- 1542-7730 (ISSN-L)
- 1542-7749
- OpenAlex
- W3160903453
- Cited by
- 269
- References
- 54
- FWCI
- 19.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
