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A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT
[article]
2018
bioRxiv
pre-print
Motivation: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.Results:We have developed a method that systematically surveys data visualizations using the analysis of both text and images. Our
doi:10.1101/325290
fatcat:24ogncg4xzdnlolnfdnfo5neoi