cited peer response 100 words

Jun 16 4:58am | Last reply Jun 16 6:09pm Effective data visualization in business research transforms complex datasets into clear, actionable insights for decision makers. Three critical design elements. Geometry, color, and interactivity enhance the clarity and impact of these visualizations. Geometry, the deliberate selection of chart types, ensures accurate data representation. For instance, bar charts are ideal for comparing categories, while scatterplots reveal correlations. Knaflic (2020) emphasizes aligning chart types with data to avoid misinterpretation, a critical factor in business contexts where precise insights drive strategic decisions. Color influences how audiences perceive and interpret visuals. Strategic use of color schemes sequential for trends, qualitative for distinct categories highlights key findings. Knaflic (2020) advises designing for accessibility, such as accommodating colorblind viewers, to ensure visuals are inclusive and effective for diverse business stakeholders. Interactivity empowers users to engage actively with data. Features like filtering or zooming, found in 61.6% of visualizations analyzed by Gray and Bounegru (2021), allow stakeholders to explore datasets dynamically, uncovering nuanced insights tailored to specific business needs, such as market analysis or forecasting. By integrating geometry, color, and interactivity, visualizations become powerful tools for business research, delivering clarity, inclusivity, and engagement to support informed decision making. References Gray, J., & Bounegru, L. (2021). Exploring data visualisations: An analytical framework based on dimensional components of data artefacts in journalism. Digital Journalism, 9(8), 1051-1070. https://doi.org/10.1080/21670811.2021.1957965 Knaflic, C. N. (2020). Principles of effective data visualization. Patterns, 1(9), 100141. https://doi.org/10.1016/j.patter.2020.100141 as Unread