Visualization Resources: A Starting Point
Xiaoxiao Liu, Mohammad Alharbi, Joe Best, Jian Chen, Alexandra Diehl,, Elif Firat, Dylan Rees, Qiru Wang, Robert S Laramee

TL;DR
This paper compiles and classifies a wide range of open visualization resources, providing an organized overview to support learners, practitioners, and researchers in the rapidly evolving field of data visualization.
Contribution
It introduces a novel classification scheme for visualization resource collections, facilitating easier access and navigation for diverse users.
Findings
Developed a classification of resource types
Compiled extensive visualization resource collections
Provided a user-friendly overview for beginners and experts
Abstract
Visualization, as a vibrant field for researchers, practitioners, and higher educational institutions, is growing and evolving very rapidly. Tremendous progress has been made since 1987, the year often cited as the beginning of data visualization as a distinct field. As such, the number of visualization resources and the demand for those resources are increasing at a very fast pace. We present a collection of open visualization resources for all those with an interest in interactive data visualization and visual analytics. Because the number of resources is so large, we focus on collections of resources, of which there are already very many ranging from literature collections to collections of practitioner resources. We develop a novel classification of visualization resource collections based on the resource type, e.g. literature-based, web-based, etc. The result is a helpful overview…
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