Provenance-tracking is widely acknowledged as an important feature of visualization
systems. By tracking provenance data, visualization designers can provide a wide variety of …

Automated Machine Learning (AutoML) technology can lower barriers in data work yet still
requires human intervention to be functional. However, the complex and collaborative …

Understanding user behavior patterns and visual analysis strategies is a long-standing
challenge. Existing approaches rely largely on time-consuming manual processes such as …

Uncertainty is ubiquitous in the data that we collect. Nevertheless, when users create
visualizations of this data, it is frequently neglected. The reason for this is twofold: For one …