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7.12: Assessments

  • Page ID
    58316
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    Learning Objectives

    1. Explain why data visualization is critical for analytics communication and decision-making.

    2. Describe how preattentive attributes (color, form, position) influence visual perception.

    3. Distinguish between exploratory and explanatory visualization and apply each appropriately.

    4. Select appropriate chart types (bar, line, scatter, pie, heatmap) for different data and questions.

    5. Apply design principles: clarity, consistency, accessibility, and effective color usage.

    6. Construct a data-driven narrative using storytelling techniques with visuals.


    This page titled 7.12: Assessments was last modified on Thu, 28 May 2026 18:52:26 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Felix Amoruwa.

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