Astronomical researchers often think of analysis and visualization as separate tasks. In the
case of high‐dimensional data sets, though, interactive exploratory data visualization can …

Visualization has become an important ingredient of data analysis, supporting users in
exploring data and confirming hypotheses. At the beginning of a visual data analysis …

Visual analysis of unknown data requires the combined use of various functions that are
often part of standalone visual analytics (VA) tools. Performing cross-tool visual analysis with …

With the advancement of Visual Analytics (VA) and its spread into various application fields
comes along a specialization of methods and tools. This adds complexity and requires extra …

1 2 WITHDRAWN: RAMPVIS: A visualization and visual analytics infrastructure for COVID-
19 data Erik Rydow ∗, Tuna Gö nen, Alexander Kachkaev, Saiful Khan Oxford e …

While it is common to use multiple independent analysis tools in combination, it is still
cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks …

The ongoing proliferation and differentiation of Visual Analytics to various application
domains and usage scenarios has also resulted in a fragmentation of the software …

Over the past years, the visualization of large and complex data sets brought up various
Visual Analytics (VA) tools in order to solve domain-specific tasks. These VA tools are …

The ongoing proliferation and differentiation of Visual Analytics to various application
domains and usage scenarios has also resulted in a fragmentation of the software …

The field of tools for data visualization has been growing in recent years, with each tool
contributing new ways to create and work with visualizations, and each offering a …