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Clustered iconography: A resurrected method for representing multidimensional data

journal contribution
posted on 29.06.2021, 22:38 by Olav MuurlinkOlav Muurlink, Anthony M Gould, Jean-Etienne Joullié
Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff’s faces. It resurrects and improves a procedure, clustered iconography, which enables the presentation of multidimensional data through which readers engage more effectively with the presentation’s central message by way of an easier understanding of relationships between variables. The proposed technique is especially well adapted to the needs and protocols of open-source research.

History

Start Page

1

End Page

37

Number of Pages

37

eISSN

1552-8294

ISSN

0049-1241

Publisher

Sage

Language

en

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Université Laval, Canada

Era Eligible

Yes

Journal

Sociological Methods and Research

Article Number

ARTN 0049124120914943