Color Quest: An interactive tool for exploring color palettes and enhancing accessibility in data visualization.

Autor: Nelli L; School of Biodiversity, One Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Mar 19; Vol. 19 (3), pp. e0290923. Date of Electronic Publication: 2024 Mar 19 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0290923
Abstrakt: Data visualization plays a vital role in modern scientific communication across diverse domains, shaping the understanding of complex information through color choices. However, the significance of color palette selection goes beyond aesthetics and scientific communication, encompassing accessibility for all, especially individuals with color vision deficiencies. To address this challenge, we introduce "Color Quest," an intuitive Shiny app that empowers users to explore color palettes for data visualization while considering inclusivity. The app allows users to visualize palettes across various types of plots and maps envisioning how they appear to individuals with color blindness. In addition, it enables users to visualize palettes on their own custom-uploaded images. This short communication presents the app's design, interactive interface, and transformative potential in enhancing data visualization practices. Developed using open-source standards, Color Quest aligns with accessibility discussions, offering a practical tool and platform for raising awareness about inclusive design. Its open-source nature fosters transparency, community collaboration, and long-term sustainability. Color Quest's practicality renders it indispensable for scientific domains, simplifying palette selection and promoting accessibility. Its impact extends beyond academia to diverse communication settings, harmonizing information dissemination, aesthetics and accessibility for more impactful scientific communication.
Competing Interests: The author have declared that no competing interests exist.
(Copyright: © 2024 Luca Nelli. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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