Visual analytics (VA) systems have been widely used in various application domains.
However, VA systems are complex in design, which imposes a serious problem: although …

Collaborative visual analytics (CVA) involves sensemaking activities within teams of
analysts based on coordination of work across team members, awareness of team activity …

Scientific data repositories have historically made data widely accessible to the scientific
community, and have led to better research through comparisons, reproducibility, as well as …

Data visualization is often used as the first step while performing a variety of analytical tasks.
With the advent of large, high-dimensional datasets and significant interest in data science …

The scale and complexity of today's datasets frequently overwhelms conventional
visualization interfaces, which could negatively impact the quality of the visual analytic …

As the sophistication of data analyses increases many subject matter experts looking to
make data-driven decisions turn to data scientists to help with their data analysis needs …

The visualization research community can and should reach broader audiences beyond
data-savvy groups of people, because these audiences could also greatly benefit from …

Visual analytics has been widely studied in the past decade. One key to make visual
analytics practical for both research and industrial applications is the appropriate definition …

We present VizDeck, a web-based tool for exploratory visual analytics of unorganized
relational data. Motivated by collaborations with domain scientists who search for complex …

Visual Analytics: Why Now? - James (Jim) J. Thomas, 2007 Skip to main content Intended for
healthcare professionals SAGE Journals Home Search this journal Search all journals Enter …