4 papers
Guidelines For Pursuing and Revealing Data Abstractions
Alex Bigelow, Katy Williams, Katherine E. Isaacs
Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of…
Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns
Katy Williams, Alex Bigelow, Katherine E. Isaacs
Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process to complete. While it…
Origraph: Interactive Network Wrangling
Alex Bigelow, Carolina Nobre, Miriah Meyer +1
Networks are a natural way of thinking about many datasets. The data on which a network is based, however, is rarely collected in a form that suits the analysis process, making it…
Jacob's Ladder: The User Implications of Leveraging Graph Pivots
Alex Bigelow, Megan Monroe
This paper reports on a simple visual technique that boils extracting a subgraph down to two operations---pivots and filters---that is agnostic to both the data abstraction, and it…