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Visual analytics as artful revelation
National University of Singapore.ORCID iD: 0000-0001-7619-5770
2014 (English)In: Representation in Scientific Practice Revisited / [ed] Catelijne Coopmans, Janet Vertesi, Michael E. Lynch and Steve Woolgar, Cambridge, Mass.: MIT Press, 2014, p. 37-59Chapter in book (Refereed)
Abstract [en]

This chapter explores how relations between seeing and knowing are articulated in efforts to promote “visual analytics”: the practice of extracting insights from large datasets with the help of on-screen, interactive displays of trends, outliers and other patterns. The focus is on online seminars organized by a software vendor, in which experienced business users demonstrate their practices to a less experienced audience. The chapter discusses how the idea that visual analytics can “reveal” insights is both manifested and qualified on these occasions. The user practices on display convey to audiences the impression that specific insights inhere in data and can be visually apprehended. Paradoxically, the demonstrations simultaneously render such insights conditional and elusive. The chapter characterizes this paradox as “artful revelation,” and proposes that it is rhetorically powerful in helping to foster imaginaries of, and investments in, data-driven discovery.

Place, publisher, year, edition, pages
Cambridge, Mass.: MIT Press, 2014. p. 37-59
Series
Inside Technology
Keywords [en]
visual analytics, data visualization, software demonstrations
National Category
Social Sciences Other Social Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-151377ISBN: 9780262525381 (print)OAI: oai:DiVA.org:liu-151377DiVA, id: diva2:1249249
Available from: 2018-09-18 Created: 2018-09-18 Last updated: 2019-01-14Bibliographically approved

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Coopmans, Catelijne

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf