Reflections, models, and software for iterative visualization design

Update Item Information
Title Reflections, models, and software for iterative visualization design
Publication Type dissertation
School or College College of Engineering
Department Computing
Author Bigelow, Alex
Date 2019
Description Iteration is a ubiquitous need across many different visualization design workflows. For visual design, practitioners often need to transition between the automated generation of visuals and manual drawing; however, existing software makes free-form iteration between these modalities difficult or impossible. A similar challenge exists for data as well: data abstractions often need to be adjusted; however, many data reshaping operations- particularly graph wrangling operations-have support only in programming environ- ments that may not be accessible to many visualization designers. This dissertation begins with an effort to better understand how graphic designers, a specific subset of the broader visualization community, work with data. The lessons from that effort inspire our remaining contributions, which are directed toward the broader community of visualization practitioners: first, we present a software model and a system that make it possible to iterate between drawing and generative visualization. Second, we present a visual technique that enables inquiry into the relationship between two specific graph data wrangling operations: pivoting and filtering. Finally, we present an interface that supports a broader range of graph data wrangling operations that enable iteration between many different graph data abstractions.
Type Text
Publisher University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management (c) Alex Bigelow
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s68w9dqr
Setname ir_etd
ID 1709467
Reference URL https://collections.lib.utah.edu/ark:/87278/s68w9dqr
Back to Search Results