Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations
Venkatesh Sivaraman, Frank Elavsky, Dominik Moritz, Adam Perer

TL;DR
Counterpoint is a JavaScript framework that simplifies the development of large-scale, animated visualizations by managing state efficiently and supporting scalable rendering, demonstrated through flexible examples and minimal performance overhead.
Contribution
It introduces a novel framework for state management in large, animated visualizations, enabling easier development and integration with scalable rendering APIs.
Findings
Minimal performance overhead compared to existing techniques
Flexible visualization creation with compatibility to other toolkits
Supports accessibility considerations in visualizations
Abstract
Custom animated visualizations of large, complex datasets are helpful across many domains, but they are hard to develop. Much of the difficulty arises from maintaining visualization state across many animated graphical elements that may change in number over time. We contribute Counterpoint, a framework for state management designed to help implement such visualizations in JavaScript. Using Counterpoint, developers can manipulate large collections of marks with reactive attributes that are easy to render in scalable APIs such as Canvas and WebGL. Counterpoint also helps orchestrate the entry and exit of graphical elements using the concept of a rendering "stage." Through a performance evaluation, we show that Counterpoint adds minimal overhead over current high-performance rendering techniques while simplifying implementation. We provide two examples of visualizations created using…
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Taxonomy
TopicsData Visualization and Analytics
