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

Software tools that make it easier for analysts to collaborate as a natural part of their work
will lead to better analysis that is informed by more perspectives. We are interested to know …

Visual analytics is the science of marrying interactive visualizations and analytic algorithms
to support exploratory knowledge discovery in large datasets. We argue for a shift from a …

Collaborative sensemaking requires that analysts share their information and insights with
each other, but this process of sharing runs the risks of prematurely focusing the …

Visual data analysis tools provide people with the agency and flexibility to explore data
using a variety of interactive functionalities. However, this flexibility may introduce potential …

We present a system that lets analysts use paid crowd workers to explore data sets and
helps analysts interactively examine and build upon workers' insights. We take advantage of …

A central challenge in visual analytics is the creation of accessible, widely distributable
analysis applications that bring the benefits of visual discovery to as broad a user base as …

Empirical evaluation methods for visualizations have traditionally focused on assessing the
outcome of the visual analytic process as opposed to characterizing how that process …

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

The multiplicity of computing and display devices currently available presents new
opportunities for how visual analytics is performed. One of the significant inherent …