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7.12.1: Review Questions

  • Page ID
    58317
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    Review Questions

    Multiple Choice

    1. Which chart type is best for showing trends over a continuous time period?

      • a) Pie chart b) Bar chart c) Line chart d) Heatmap

    2. A visualization expert recommends using a bold red bar among gray bars to draw attention to one data point. This technique leverages:

      • a) Chartjunk b) Preattentive attributes (color) c) Dual axes d) Data distortion

    3. When should you use a pie chart?

      • a) Comparing exact values across 15 categories b) Showing trends over time c) Showing a simple parts-to-whole composition with few categories d) Displaying correlation between variables

    Short Answer

    1. Explain the difference between exploratory and explanatory visualization. Cole Nussbaumer Knaflic uses the analogy of "turning over 100 rocks to find 1 or 2 gems." What does this mean for how you approach each phase?

    2. What are dimensions and measures in data visualization? Provide an example of each from a sales dataset and explain how they work together to create a chart.

    3. List four design principles for effective visualization. For each, provide one specific "do" and one "don't" example.

    4. Why is accessibility important in visualization design? Describe three specific practices that make charts accessible to viewers with color vision deficiencies.

    True/False

    1. True or False: Bar chart y-axes should always start at zero to avoid exaggerating differences.

    2. True or False: Using 10 different bright colors in a single chart improves clarity by making each category distinct.

    3. True or False: A chart's title should state the main insight (e.g., "Sales Down 20% in Q4") rather than just describe the data type (e.g., "Sales by Quarter").

    Answer Key:

    1-c, 2-b, 3-c, 4. Exploratory: analyst creates many quick charts to discover what's interesting (turning over 100 rocks). Explanatory: focus on the few key findings (gems) and craft polished visuals for an audience. 5. Dimension: categorical grouping variable (e.g., "Region" — North, South, East, West). Measure: numeric value to aggregate (e.g., "Sales Amount"). Together: bar chart with Region on x-axis (dimension) and SUM(Sales) on y-axis (measure). 6. Clarity: DO label axes clearly; DON'T use 3D effects that distort proportions. Consistency: DO use same colors for same categories across charts; DON'T change scales between related charts. Accessibility: DO use colorblind-safe palettes; DON'T rely solely on red-green to distinguish categories. Color: DO highlight key data with a bold color; DON'T use rainbow palettes with 10+ colors. 7. ~8% of men have color vision deficiency. Practices: (1) use texture/patterns in addition to color; (2) add direct data labels; (3) use colorblind-friendly palettes (e.g., blue-orange instead of red-green). 8. True, 9. False, 10. True.


    This page titled 7.12.1: Review Questions was last modified on Thu, 17 Sep 2026 03:39:53 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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