Abstract Information visualization has been widely used to convey information from data and
assist communication. There are enormous needs of efficient visualization design for users …

Exploratory data analysis plays a major role in obtaining insights from data. Over the last two
decades, researchers have proposed several visual data exploration tools that can assist …

While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

Multiple-view visualization (MV) is a layout design technique often employed to help users
see a large number of data attributes and values in a single cohesive representation …

Dataflow visualization systems enable flexible visual data exploration by allowing the user to
construct a dataflow diagram that composes query and visualization modules to specify …

To model the data and functions in various computer science applications, the researcher
uses a Data Flow Diagram (DFD). DFD has been constructed using [open-source software …

We present the design and implementation of iVoLVER, a tool that allows users to create
visualizations without textual programming. iVoLVER is designed to enable flexible …

Answering questions about complex issues often requires analysts to take into account
information contained in multiple interconnected datasets. A common strategy in analyzing …

The emergence of tools that support fast-and-easy visualization creation by non-experts has
made the benefits of InfoVis widely accessible. Key features of these tools include attribute …

Tracking the sensemaking process is a well-established practice in many data analysis
tools, and many visualization tools facilitate overview and recall during and after exploration …