Investigating the visualization process. Development of an integrated framework

  • The extensive literature in the data visualization field indicates that the process of creating efficient data visualizations requires the data designer to have a large set of skills from different fields (such as computer science, user experience, and business expertise). However, there is a lack of guidance about the visualization process itself. This thesis aims to investigate the different processes for creating data visualizations and develop an integrated framework to guide the process of creating data visualizations that enable the user to create more useful and usable data visualizations. Firstly, existing frameworks in the literature will be identified, analyzed and compared. During this analysis, eight views of the visualization process are developed. These views represent the set of activities which should be done in the visualization process. Then, a preliminary integrated framework is developed based on an analysis of these findings. This new integrated framework is tested in the field of Social Collaboration Analytics on an example from the UniConnect platform. Lastly, the integrated framework is refined and improved based on the results of testing with the help of diagrams, visualizations and textual description. The results show that the visualization process is not a waterfall type. It is the iterative methodology with the certain phases of work, demonstrating how to address the eight views with different levels of stakeholder involvement. The findings are the basis for a visualization process which can be used in future work to develop the fully functional methodology.

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Metadaten
Author:Anna Presnyakova
URN:urn:nbn:de:kola-15041
Referee:Susan Williams
Advisor:Susan Williams, Florian Schwade
Document Type:Master's Thesis
Language:English
Date of completion:2017/09/28
Date of publication:2017/09/29
Publishing institution:Universität Koblenz-Landau, Universitätsbibliothek
Granting institution:Universität Koblenz-Landau, Campus Koblenz, Fachbereich 4
Date of final exam:2017/09/27
Release Date:2017/09/29
Tag:data; framework; visualization
Number of pages:xii, 91
Institutes:Fachbereich 4 / Institut für Wirtschafts- und Verwaltungsinformatik
BKL-Classification:54 Informatik
Licence (German):License LogoEs gilt das deutsche Urheberrecht: § 53 UrhG

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