A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT | Zendy

Anamaria Crisan | Zendy; Jennifer L. Gardy | Zendy; Tamara Munzner | Zendy

Open Access

A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT

Author(s) -

Anamaria Crisan,

Jennifer L. Gardy,

Tamara Munzner

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty832

Subject(s) - typology , visualization , data science , computer science , data visualization , computational biology , data mining , biology , geography , archaeology

Data visualization is an important tool for exploring and communicating findings from genomic and healthcare datasets. Yet, without a systematic way of organizing and describing the design space of data visualizations, researchers may not be aware of the breadth of possible visualization design choices or how to distinguish between good and bad options.

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