2026-09-19T13:15:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1391102022-01-15T03:24:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Satyanarayan, Arvind
Sefah, Ebenezer
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-01-14T14:50:30Z
2022-01-14T14:50:30Z
2021-06
2021-06-17T20:14:17.592Z
https://hdl.handle.net/1721.1/139110
Research into the design process when building data visualization has yielded many tools that support linear versioning techniques, such as annotation, bookmarking, and interactive history tracking. However, visualization design processes are usually non-linear, and support for exploratory techniques such as branching to build on past iterations and merging operations are underexplored. In this thesis, I investigate how to adapt these related techniques to support the exploratory design phase when designing and building data visualizations. I also introduce novel approaches for merging on a subcomponent level, that allow designers to merge either axes, marks, or legend properties individually. This is motivated by the need to cherry pick different aspects or components of visualizations created at different points of the exploration process to create new ones. At the end, I present a preliminary implementation to support and enhance the exploratory design of data visualizations using Lyra 2, a visual design environment. I also present an evaluation, in the form of supported use cases, which assesses the impact of these features on the exploratory design phase when designing and building data visualisations.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Interactive History Support for the Exploratory Design of Data Visualizations
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<Abstract>Research into the design process when building data visualization has yielded many tools that support linear versioning techniques, such as annotation, bookmarking, and interactive history tracking. However, visualization design processes are usually non-linear, and support for exploratory techniques such as branching to build on past iterations and merging operations are underexplored. In this thesis, I investigate how to adapt these related techniques to support the exploratory design phase when designing and building data visualizations. I also introduce novel approaches for merging on a subcomponent level, that allow designers to merge either axes, marks, or legend properties individually. This is motivated by the need to cherry pick different aspects or components of visualizations created at different points of the exploration process to create new ones. At the end, I present a preliminary implementation to support and enhance the exploratory design of data visualizations using Lyra 2, a visual design environment. I also present an evaluation, in the form of supported use cases, which assesses the impact of these features on the exploratory design phase when designing and building data visualisations.</Abstract>
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