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Spanning the Boundaries of Data Visualization Work: An Exploration of Functional Affordances and Disciplinary Values

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Information in Contemporary Society (iConference 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11420))

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Abstract

Creating data visualizations requires diverse skills including computer programming, statistics, and graphic design. Visualization practitioners, often formally trained in one but not all of these areas, increasingly face the challenge of reconciling, integrating and prioritizing competing disciplinary values, norms and priorities. To inform multidisciplinary visualization pedagogy, we analyze the negotiation of values in the rhetoric and affordances of two common tools for creating visual representations of data: R and Adobe Illustrator. Features of, and discourse around, these standard visualization tools illustrate both a convergence of values and priorities (clear, attractive, and communicative data-driven graphics) side-by-side with a retention of rhetorical divisions between disciplinary communities (statistical analysis in contrast to creative expression). We discuss implications for data-driven work and data science curricula within the current environment where data visualization practice is converging while values in rhetoric remain divided.

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Notes

  1. 1.

    See appendix at https://evidlab.umd.edu/2019/02/iconference-2019-appendix/.

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Author information

Authors and Affiliations

  1. University of Washington, Seattle, WA, 98195, USA

    Jaime Snyder

  2. University of Maryland, College Park, MD, 20742, USA

    Katie Shilton

Authors
  1. Jaime Snyder
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  2. Katie Shilton
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Correspondence to Jaime Snyder .

Editor information

Editors and Affiliations

  1. University of South Florida, Tampa, FL, USA

    Natalie Greene Taylor

  2. University of Maryland, College Park, MD, USA

    Caitlin Christian-Lamb

  3. University of Washington, Seattle, WA, USA

    Michelle H. Martin

  4. University of California, Irvine, Irvine, CA, USA

    Bonnie Nardi

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Snyder, J., Shilton, K. (2019). Spanning the Boundaries of Data Visualization Work: An Exploration of Functional Affordances and Disciplinary Values. In: Taylor, N., Christian-Lamb, C., Martin, M., Nardi, B. (eds) Information in Contemporary Society. iConference 2019. Lecture Notes in Computer Science(), vol 11420. Springer, Cham. https://doi.org/10.1007/978-3-030-15742-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-15742-5_6

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-15742-5

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