Data visualizations are created and shared on the web at an unprecedented speed, raising
new needs and questions for processing and analyzing visualizations after they have been …

One of the primary challenges facing scientists is extracting understanding from the large
amounts of data produced by simulations, experiments, and observational facilities. The use …

In this paper, we demonstrate how deck. gl, an open-source project born out of data-heavy
visual analytics applications, has grown into the robust visualization framework it is today …

Visualization tools are often specialized for specific tasks, which turns the user's analytical
workflow into a fragmented process performed across many tools. In this paper, we present …

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

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 …

Given a tabular dataset which should be graphically represented, how could the current
complex visualization pipeline be improved? Could we produce a more visually enriched …

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 …

The modern web is a successful platform for large scale interactive web applications,
including visualizations. However, there are no established design principles for building …

Visual analytics (VA) systems have been widely used to facilitate decision-making and
analytical reasoning in various application domains. VA involves visual designs, interaction …