Data Visualization

This dissertation is the first in-depth study of a new important area of contemporary visual and digital culture—data visualization. Author: Tara Zepel, University of California, San Diego.

This dissertation establishes a new visualization design process model devised to guide visualization designers in building more effective and useful visualization systems and tools. Sean Patrick McKenna, The University of Utah.

Throughout, this research will analyze the different approaches to UI design and data visualization, extract relevant information, and find out what approaches will help improve the VR software front end design. Author: Santipab Tipparach, North Dakota State University.

This thesis discusses Data Brushes, an interactive web application to explore neural style transfer using models trained on artistic data visualizations. Author: Mahika Dubey, University of California, Santa Cruz

Utilizing an experimental design with three message conditions (written text, static visualization, and interactive data visualization), this study examined the effectiveness of data visualizations on facilitating individual’s comprehension of information about HPV vaccination as well as influencing individual’s decision making on HPV vaccination. Author: Fan Yang, University of Miami.

This research addresses current trends in big data, and their application to mathematical, statistical, and climate science. The first chapter review several big data visualization tools currently available, describes the utility of such tools, and introduces opportunity for improvement. Author: Tyler Clifford Tucker, San Diego State University.

This thesis studies the current methodologies in predictive visual analytics. Author: Yafeng Lu, Arizona State University.

The purpose of this study was to explore how critical thinking skills (CTS) influence user preference and perceived usefulness of data visualizations found in business intelligence systems (BIS). Author: John R. Black, Capella University

Natural history collections (NHCs) play an irreplaceable role in research of global importance. Data have become central to how NHCs manage and share their holdings, and how they quantify their impact. Data visualization has rich potential for addressing NHCs’ specific objectives and needs by employing design principles, specialized technology, and cognitive science to encode data into visual graphics. Author: Jessica Mailhot, University of Colorado at Boulder.

Creating a data visualization solution for automotive dealers to enhance sales performance. As many auto dealers use over 20 vendors per store, it is very difficult to keep track of vendor performance. Therefore, auto dealers need a tool that explains vendor performance through visual charts and graphs. VendorGraphs will meet this need. Author: Samuel J. Park, Liberty University.