Design and Uses of Tabular Visualization

  • Gives some indication of how tables are perceived but not experimental results. Also gives indications of how tables are used and should be designed but again not experimental results.

    J. Bertin, “Semiologie Graphique”, 1967

  • Includes notions of both good and bad table design practices but is asserted without experimental results. Asserts that ordering can be important in improving tabular visualization.

    A. S. C. Ehrenberg, “Rudiments of Numeracy,” Journal of the Royal Statistical Society. Series A (General), vol. 140, no. 3, pp. 277–297, 1977, doi: 10.2307/2344922.

  • Tufte includes advice on the design and uses of tabular visualization although he makes a lot of assertions without experimental evidence.

    E. Tufte “The visual display of quantitative information”, Graphics Press, 1983.

  • The Derivation Problem for Summary Data.

    F. M. Malvestuto, “The derivation problem of summary data,” in Proceedings of the 1988 ACM SIGMOD international conference on Management of data, in SIGMOD ’88. New York, NY, USA: Association for Computing Machinery, Jun. 1988, pp. 82–89. doi: 10.1145/50202.50211.

  • Includes notions of good and bad table design practices, and includes some theory about what you can and can’t do with tabular visualizations.

    H. Wainer, “Understanding Graphs and Tables,” ETS Research Report Series, vol. 1992, no. 1, pp. 4–20, 1992, doi: 10.1002/j.2333-8504.1992.tb01443.x.

  • Includes a discussion of designing tables based on goals.

    H. Wainer, “Improving Tabular Displays, With NAEP Tables as Examples and Inspirations,” Journal of Educational and Behavioral Statistics, vol. 22, no. 1, pp. 1–30, Mar. 1997, doi: 10.3102/10769986022001001.

  • Ubiquity and uses of tables as spreadsheets and online visualizations.

    L. M. Koesten, E. Kacprzak, J. F. A. Tennison, and E. Simperl, “The Trials and Tribulations of Working with Structured Data: -a Study on Information Seeking Behaviour,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, in CHI ’17. New York, NY, USA: Association for Computing Machinery, May 2017, pp. 1277–1289. doi: 10.1145/3025453.3025838.

  • How interactive tables and spreadsheets are used by data workers and how effective they are: Untidy Data.

    L. Bartram, M. Correll, and M. Tory, “Untidy Data: The Unreasonable Effectiveness of Tables,” IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 686–696, Jan. 2022, doi: 10.1109/TVCG.2021.3114830.

  • An analysis with design and experiments of the accessibility of web tables for blind and low vision users.

    Y. Wang, R. Wang, C. Jung, and Y.-S. Kim, “What makes web data tables accessible? Insights and a tool for rendering accessible tables for people with visual impairments,” in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, in CHI ’22. New York, NY, USA: Association for Computing Machinery, Apr. 2022, pp. 1–20. doi: 10.1145/3491102.3517469.