Although data visualization tools continue to improve, during the data exploration process
many of them require users to manually specify visualization techniques, mappings, and …

Scientific visualization, especially visualization exploration, enables information to be
investigated and better understood. Exploration enables hands-on experimentation with the …

The process of scientific visualization is inherently iterative. A good visualization comes from
experimenting with visualization, rendering, and viewing parameters to bring out the most …

The development of exploratory visualization tools based on coordinated multiple views has
become an important area of information visualization research. One goal of this research is …

Exploring complex, very large data sets requires interfaces to present and navigate through
the visualization of the data. Two types of audience benefit from such coherent organization …

In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Exploratory data analysis is a process of sifting through data in search of interesting
information or patterns. Analysts' current tools for exploring data include database …

While there have been advances in visualization systems, particularly in multi-view
visualizations and visual exploration, the process of building visualizations remains a major …

Despite the analytical power of geographic visualization, it remains difficult for users of these
tools to save, re-use, or re-visit what they have discovered. Most current systems are limited …

Data scientists and other analytic professionals often use interactive visualization in the
dissemination phase at the end of a workflow during which findings are communicated to a …