Visual Analytics Design Intermediate Exam
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This test is designed to take 60 – 90 minutes
You must answer 20 of 25 questions correctly to pass |
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1. Which of the following is NOT a benefit of including white space in your dashboard design?
A. It helps you as an author prioritize content
B. It helps your stakeholders focus their attention during analysis
C. It adds credibility by providing professional design polish
D. It helps emphasize key insights and visualizations
2. Typography has a lot in common with data visualization in that:
A. Using a variety of colors adds emphasis where needed
B. Including a hierarchy helps guide users through a dashboard
C. Preattentive attributes can be applied
D. Both B and C
3. Which of the following is NOT a primary benefit of sketching a dashboard idea before polishing the design?
A. Saves time and effort
B. Helps in following design principles
C. Serves as project documentation
D. Guarantees client satisfaction
4. Why is it important to consider screen size when designing dashboards?
A. Some visualizations work better in larger spaces and may not be effective on small screens
B. Smaller screens allow for more detailed visualizations
C. Dashboards should only be designed for desktop
D. Screen size has no impact on the effectiveness of data visualizations
5. Why is consistency important in UI design?
A. It makes the design visually appealing
B. It helps users learn the interface faster by using familiar elements
C. It forces users to interact with all parts of the dashboard
D. It allows for more complex navigation patterns
6. True or False: The visual hierarchy of a dashboard can be communicated through elements like text size, contrast, and placement.
A. True
B. False
7. Which of the following statements accurately describes how balance works in dashboard layout design?
A. A balanced design always requires perfect symmetry to be effective and visually appealing
B. An unbalanced design, when used correctly, can highlight specific areas of importance but may appear chaotic if not executed properly
C. Both balanced and unbalanced designs must always follow strict alignment to ensure content looks clean
D. A balanced design should always be asymmetrical to make the layout more engaging
8. When designing a mobile-first dashboard, what should you consider?
A. The device type and screen size of your target audience
B. The importance of a clean, easy-to-read design with minimal clutter
C. The amount of data that should be shown at once for readability
D. All of the above
9. Which of the following is a key consideration when applying typography to a dashboard layout?
A. Choosing a font based on personal preference
B. Selecting a font size and weight to establish a clear visual hierarchy
C. Using a single font style throughout for consistency
D. Picking fonts that match the color scheme of the dashboard
10. In a dashboard layout, what does "proximity" refer to?
A. The alignment of text and graphics
B. The distance between elements and how it affects their perceived relationship
C. The way items are grouped based on color or font size
D. The size difference between headers and body text
11. True or False: Design thinking is a linear process that requires designers to empathize with users and create prototypes based on a range of ideas.
A. True
B. False
12. Which of the following is an aspect of the Test portion of design thinking?
A. Understand users' challenges and pain points
B. Gather user feedback on the prototypes
C. Consider assumptions from the “define” portion of design thinking
D. Iterate once you've gathered feedback and taken some time to think about it
13. Psychological schemas can be used to improve visualizations in which of the following ways?
A. Replace the need for legends and annotations in complex visualizations
B. Guarantee that all users will interpret the visualization data identically
C. Help your end users process your visualizations more efficiently
D. Disrupt an expectation, providing a starting point for an analysis
E. C and D
14. A dashboard that displays high-level KPIs, has minimal interactivity, and provides recommended action items will most likely have an audience of:
A. Mainstream users
B. Analysts
C. Executives
D. Analysts and Managers
15. When creating data visualizations for a diverse audience with varying levels of domain expertise, which approach is most effective?
A. Design for the lowest level of expertise to ensure all users can understand the visualization
B. Create multiple versions of the visualization tailored to different expertise levels
C. Focus primarily on the needs of the most technical users, as they will extract the most value
D. Standardize all visualizations to a middle level of complexity regardless of audience composition
16. When using color as a preattentive attribute, what phenomenon must designers be especially cautious about?
A. Gestalt principles
B. Color blindness
C. Weber's Law
D. Banner blindness
17. When visualizing hierarchical data, which preattentive attribute is most effective for showing containment relationships?
A. Enclosure (boundaries)
B. Line width
C. Pattern
D. Motion
18. True or False: The effectiveness of the preattentive attribute of length varies when used in bar charts versus in radial/pie charts.
A. True
B. False
19. When creating a visualization with multiple categorical variables, which preattentive attribute would be most appropriate for distinguishing between categories?
A. Width
B. Area
C. Shape
D. Orientation
20. Fill in the blank: _________ can be considered the most broad and flexible of the preattentive attributes.
A. Contrast
B. Motion
C. Enclosure
D. Form
21. The pitfall of selecting the wrong chart type can result in all of the following EXCEPT:
A. A visual that lacks value or insight
B. Misleading the audience
C. Boring the audience
D. Damaging trust in the data
22. Why is it important to test a chart type with real data instead of dummy data?
A. To ensure the color scheme meets accessibility standards
B. To exclude data that skews the results
C. To make sure the data is engaging
D. To ensure the chart type is meaningful
23. Fill in the blank: The concept of _________ helps us better understand how capable someone is in comprehending, exploring, and drawing insights from our data.
A. Accessibility
B. Cognitive Load
C. Data Literacy
D. Design Thinking
24. To keep users engaged with a dashboard, designers should:
A. Add explainer text for every visual
B. Include as many icons and images as possible
C. Use a balanced mix of chart types
D. Let users discover interactivity on their own
25. True or False: A chart or visual should always contribute to the user’s understanding of the data, guide them through a story, or indicate interactivity.
A. True
B. False
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