General purpose graphical interfaces for data exploration are typically based on manual
visualization and interaction specifications. While designing manual specification can be …

Visualizations of tabular data are widely used; understanding their effectiveness in different
task and data contexts is fundamental to scaling their impact. However, little is known about …

Visualization of tabular data—for both presentation and exploration purposes—is a well-
researched area. Although effective visual presentations of complex tables are supported by …

Working with data in table form is usually considered a preparatory and tedious step in the
sensemaking pipeline; a way of getting the data ready for more sophisticated visualization …

Dashboards are the ubiquitous means of data communication within organizations. Yet we
have limited understanding of how they factor into data practices in the workplace …

Mosaic is an architecture for greater scalability, extensibility, and interoperability of
interactive data views. Mosaic decouples data processing from specification logic: clients …

General visualization tools typically require manual specification of views: analysts must
select data variables and then choose which transformations and visual encodings to apply …

Profiling data by plotting distributions and analyzing summary statistics is a critical step
throughout data analysis. Currently, this process is manual and tedious since analysts must …

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 …

Analysts commonly investigate the data distributions derived from statistical aggregations of
data that are represented by charts, such as histograms and binned scatterplots, to visualize …