Computational notebooks, such as Jupyter, support rich data visualization. However, even
when visualizations in notebooks are interactive, they are a dead end: Interactive data …

Visual data analysis involves both open-ended and focused exploration. Manual chart
specification tools support question answering, but are often tedious for early-stage …

Externalizing one's thoughts can be helpful during data analysis, such as which one marks
interesting data, notes hypotheses, and draws diagrams. In this paper, we present two …

In this paper, the authors retrofitted a version of NodeTrix, a single-user graph visualization
environment based on the InfoVis toolkit, to support multiple independent mice. The …

In recent, numerous useful visual analytics tools have been designed to help domain
experts solve analytical problems. However, most of the tools do not reflect the nature of …

Explore different perspectives and approaches to create more effective visualizations#
MakeoverMonday offers inspiration and a giant dose of perspective for those who …

Many Eyes is a web site that provides collaborative visualization services, allowing users to
upload data sets, visualize them, and comment on each other's visualizations. This paper …

Due to the scale of data and the complexity of analysis tasks, insight discovery often requires
coordinating multiple visualizations (views), with each view displaying different parts of data …

This article describes mechanisms for asynchronous collaboration in the context of
information visualization, recasting visualizations as not just analytic tools, but social spaces …

Coordination is critical in distributed collaborative analysis of multidimensional data.
Collaborating analysts need to understand what each person has done and what avenues …