Appendix: Definition, Resources and Representation

Working Defintion of Data Visualizations 

A data visualization is a visual depiction of the relationships between elements of data. In data visualizations, elements of data are represented pictorially or graphically in a way that allows an audience to see and understand relationships and patterns. At least one of the elements depicted in two (or higher) dimensional space is a non-spatial or abstract element. Examples of such elements include time, connection, scale, or membership in a category.

Data visualizations have the following properties:

• Data visualizations help observers understand the data
• Data visualizations lead observers to make judgements, form hypotheses, draw conclusions.
• Data visualizations have a purpose. They are not neutral.

Resources for Data Visualization

• University of Toronto Map and Data Library 
• Data Visualization Society
• History of Data Visualization

Representation

Conscious of the barriers inherent in of historic collections, the curation process was informed by the importance of showcasing of data visualization contributors from historically-excluded groups. Some of these individuals, such as Florence Nightingale (1820–1910), W.E.B. De Bois (1868–1963), and Mary Eleanor Spear (1897–1986), exerted significant influence on the development of data visualization and they were leaders or pioneers in their day. This exhibition celebrates the work of people of colour, LGBTQ+ people, women, and Indigenous peoples.