Jump to ContentJump to Main Navigation
Representation in Scientific Practice Revisited$
Users without a subscription are not able to see the full content.

Catelijne Coopman, Janet Vertesi, Michaeland Lynch, and Steve Woolgar

Print publication date: 2014

Print ISBN-13: 9780262525381

Published to MIT Press Scholarship Online: May 2014

DOI: 10.7551/mitpress/9780262525381.001.0001

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use (for details see www.mitpress.universitypressscholarship.com/page/privacy-policy).date: 19 November 2018

Visual Analytics as Artful Revelation

Visual Analytics as Artful Revelation

Chapter:
(p.37) 3 Visual Analytics as Artful Revelation
Source:
Representation in Scientific Practice Revisited
Author(s):

Catelijne Coopmans

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262525381.003.0003

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.

Keywords:   Data visualization, Rhetoric, Software demonstrations, Data-driven discovery, Data science

MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.