Article type
Abstract
"Background: Figures, graphs, and maps are used to facilitate the reader's understanding of the results found in original and review papers. The wise use of different colors may enhance the representation of these data. While many journals permit the inclusion of color figures in online publications at no cost, fees may be imposed for their use in printed versions. In cases where authors opt not to pay these fees, figures are typically converted to grayscale. It is imperative to carefully select the color palette to ensure that individuals with visual impairment can access the information with the same precision as people without any impairment, even when colors are converted to grayscale.
Objective: To describe strategies to improve the selection of colors for visual data representation, ensuring accessibility for people with color vision deficiency.
Methods: Use of websites to choose and evaluate the color palette for data representation.
Results: Among various online options, Adobe Color stands out as a tool for selecting a color palette. This platform allows users to extract a palette from an original image or seek inspiration from existing palettes. Subsequently, visual accessibility evaluation becomes imperative. Adobe Color provides tools for testing the chosen palette across different levels of color vision deficiency. Similarly, the Viz Palette website facilitates testing for various degrees of color visual deficiency and offers the option to apply the chosen palette to diverse chart types, including line, bar, and scatter plots. Additionally, it identifies any color conflicts that may arise for any type of representation. The platform also enables real-time color editing for seamless customization. Furthermore, users can evaluate whether the selected palette remains visually accessible when converted to grayscale. Ultimately, the finalized color palette should be implemented across the figures and graphs in the scientific article.
Conclusion: By following straightforward procedures, it is feasible to create visual data accessible to people with color vision deficiencies.
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Objective: To describe strategies to improve the selection of colors for visual data representation, ensuring accessibility for people with color vision deficiency.
Methods: Use of websites to choose and evaluate the color palette for data representation.
Results: Among various online options, Adobe Color stands out as a tool for selecting a color palette. This platform allows users to extract a palette from an original image or seek inspiration from existing palettes. Subsequently, visual accessibility evaluation becomes imperative. Adobe Color provides tools for testing the chosen palette across different levels of color vision deficiency. Similarly, the Viz Palette website facilitates testing for various degrees of color visual deficiency and offers the option to apply the chosen palette to diverse chart types, including line, bar, and scatter plots. Additionally, it identifies any color conflicts that may arise for any type of representation. The platform also enables real-time color editing for seamless customization. Furthermore, users can evaluate whether the selected palette remains visually accessible when converted to grayscale. Ultimately, the finalized color palette should be implemented across the figures and graphs in the scientific article.
Conclusion: By following straightforward procedures, it is feasible to create visual data accessible to people with color vision deficiencies.
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