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The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information
Abstract
We present a new visualization, called the Table Lens, for visualizing and making sense of large tables. The visualization uses a focus+context (fisheye) technique that works effectively on tabular information because it allows display of crucial label information and multiple distal focal areas. In addition, a graphical mapping scheme for depicting table contents has been developed for the most widespread kind of tables, the cases-by-variables table. The Table Lens fuses symbolic and graphical representations into a single coherent view that can be fluidly adjusted by the user. This fusion and interactivity enables an extremely rich and natural style of direct manipulation exploratory data analysis.
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Cited by
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Visualizing high-dimensional data: advances in the past decade
Liu, S., Maljovec, D., Wang, B., Bremer, P.-T., & Pascucci, V. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2640960 · Cited by 427
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Chuang, J., Manning, C. D., & Heer, J. (2012) · Proceedings of the International Working Conference on Advanced Visual Interfaces · doi:10.1145/2254556.2254572 · Cited by 420
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Metadata
- Authors
- Rao, R., & Card, S. K.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 1994-04-24
- Pages
- 318-322
- OpenAlex
- W2050427657
- Cited by
- 669
- References
- 0
- FWCI
- 17.84
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information. https://app.cochat.ai/papers/10.1145/191666.191776
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- Rao, R., & Card, S. K. (1994). The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/191666.191776
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