During exploratory visual analysis (EVA), analysts need to continually determine which
subsequent activities to perform, such as which data variables to explore or how to present …

Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and
yet our understanding of the process is arguably vague and piecemeal. We contribute a …

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 …

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

When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …

The exploratory visual analysis (EVA) of time series data uses visualization as the main
output medium and input interface for exploring new data. However, for users who lack …

Modern visualization tools aim to allow data analysts to easily create exploratory
visualizations. When the input data layout conforms to the visualization design, users can …

Visualization recommendation systems simplify exploratory data analysis (EDA) and make
understanding data more accessible to users of all skill levels by automatically generating …

Visual analytics (VA) tools support data exploration by helping analysts quickly and
iteratively generate views of data which reveal interesting patterns. However, these tools …

Despite the growing number of systems providing visual analytic support for investigative
analysis, few empirical studies of the potential benefits of such systems have been …