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    Area of Science:

    • Data Visualization
    • Information Design
    • Human-Computer Interaction

    Background:

    • Most data visualizations are created for presentation, not exploration.
    • Traditional techniques often treat presentation as an afterthought.
    • Many individuals consume visualizations more than they create them.

    Purpose of the Study:

    • To investigate data visualization techniques optimized for presentation.
    • To evaluate methods prioritizing communication and impact over deep data analysis.
    • To explore the unique characteristics of presentation-oriented data visuals.

    Main Methods:

    • Literature review of presentation-focused visualization strategies.
    • Analysis of case studies in news infographics and presentation charts.
    • Framework development for evaluating presentation-first visualization approaches.

    Main Results:

    • Identified distinct design principles for effective data presentation.
    • Highlighted trade-offs between presentation utility and analytical depth.
    • Showcased examples where presentation goals drive visualization design.

    Conclusions:

    • Visualization techniques can be specifically tailored for presentation.
    • Prioritizing presentation can lead to more impactful data communication.
    • Further research into presentation-centric data visualization is warranted.