Enhancing Data Visualization Accessibility: A Case for Equity and Inclusion

Over the decades, information and the transferring of information between parties have led to the evolution of human civilization from the pre-stone age to the AI era. Science, Technology, Engineering, and Mathematics have relied on data visualization to communicate and convey complex information to diverse audiences. However, traditional approaches to data visualization often rely heavily on color variations that have left a specific population with color vision deficiencies to walk the extra mile to decode the information provided in most data visualization boards due to their color selections. The importance of accommodating all forms of color blindness in data visualization to ensure inclusivity and accessibility dispersion of information can't be understated. This paper explores strategies for enhancing data visualization accessibility to accommodate all. Addressing the needs of individuals with diverse color vision deficiencies requires a proactive approach to designing inclusive visualizations. One approach involves adopting color palettes that maintain adequate contrast and employ hues distinguishable by individuals with various color vision deficiencies. Utilizing patterns, textures, and varying line styles alongside color can provide redundant cues for conveying information effectively.