Seeing what is not shown
Combining visualization critique and design to surface the limitations in data
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.
Article outline
- 1.Background
- 2.Case study: An urban tree map
- 3.Methodology
- 4.Exploring missingness
- 4.1In/completeness
- 4.2Emptiness
- 4.3Absence
- 4.4Nothingness
- 5.Conclusion
- Acknowledgements
-
References