This brief allowed us to not only explore data visualization collectively but also understand how each member of our group perceives data. We began with individual explorations to gather insights into how each member reads and interprets the data provided to us. This exercise highlighted key differences in the way we read the same Excel sheet. My approach was primarily shaped by my difficulty with comprehending numbers and arithmetic. I designed graphs that helped me read the data more clearly, almost as if I were translating incomprehensible numbers into a visual language I understand. We then borrowed elements from each other’s work to create graphs and visuals that presented the data in complex and unique ways. By using the same data set and comparing our outcomes, we were able to isolate the effect of data on structure, navigating different ways in which the visual structures we create as designers shape perception and narrative.
Bibliography:
Hall, Peter A., and Patricio Dávila. Critical Visualization : Rethinking the Representation of Data, Bloomsbury Publishing USA, 2022. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/ual/detail.action?docID=7129763.
W. E. B. du Bois’s Data Portraits : Visualizing Black America, edited by Whitney Battle-Baptiste, and Britt Rusert, Princeton Architectural Press, 2018. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/ual/detail.action?docID=5515147.
OMA (n.d.) Diagrams. Available at: https://www.oma.com/projects/diagrams
Anderson, B. (2006) ‘Census, Map, Museum’, in Imagined Communities. London: Verso, pp. 163–185.
Queneau, R. (1998) Exercises in Style. London: John Calder. (First published 1947), pp. 9–16, 19–26.
