Seeing what is not shown

Author:

Hengesbach Nicole1ORCID,McInerny Greg J.1,Albuquerque João Porto de2

Affiliation:

1. University of Warwick

2. University of Glasgow

Abstract

Abstract Critical studies of data visualization often highlight how the reductive nature of visualization methods excludes data limitations and qualities that are crucial to understanding those data. This case study explores how a data visualization could express contingent, situated, and contextual facets of data. We examine how such data limitations might be surfaced and represented within visualizations through an interplay between the critique of an existing data visualization and the development of alternative designs. Based on a case study of urban tree data, we interrogate data limitations in relation to four different types of missingness: Incompleteness, Emptiness, Absence, and Nothingness. Our study enables reflections on how data limitations can be investigated using visualizations and considers the development of a critical visualization practice.

Publisher

John Benjamins Publishing Company

Subject

Library and Information Sciences

Reference43 articles.

1. Creative data literacy

2. Feminist Data Visualization;D’Ignazio;IEEE VIS Conference, Baltimore,2016

3. Data Feminism

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