Visual Analytics Design Fundamentals 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 principle involves arranging elements to draw the viewer's eye to the most important part of a design?
A. Hierarchy
B. Rhythm
C. Unity
D. Emphasis
2. Color contrast and size differences are examples of which design principle?
A. Unity
B. Proximity
C. Emphasis
D. Alignment
3. Fill in the blank: The principle of _________ highlights differences between elements to make them stand out.
A. Unity
B. Balance
C. Contrast
D. Proximity
4. The principle that distributes visual weight across a layout in a design is called:
A. Proximity
B. Rhythm
C. Balance
D. Contrast
5. Which principle ensures that all design elements work together to create a cohesive whole?
A. Balance
B. Rhythm
C. Unity
D. Hierarchy
6. In data visualization, breaking the principle of similarity can be useful to:
A. Highlight outliers
B. Create confusion
C. Reduce data comprehension
D. Increase chart complexity
7. Grouping related data points close together demonstrates the principle of:
A. Similarity
B. Proximity
C. Continuity
D. Closure
8. Our brain's tendency to connect and complete visual elements that seem to follow a smooth, uninterrupted path is known as the _________ principle.
A. Proximity
B. Closure
C. Continuity
D. Symmetry
9. When creating a scatter plot, using different colors for distinct data categories demonstrates the principle of:
A. Figure-Ground
B. Similarity
C. Proximity
D. Common Fate
10. Grouping data points that move or change in the same way illustrates the principle of:
A. Similarity
B. Closure
C. Common-Fate
D. Symmetry
11. What is the primary goal of dashboard UX design?
A. To display the maximum amount of data possible
B. To transform complex data into clear, actionable insights
C. To create the most visually elaborate data presentation
D. To impress users with technical complexity
12. True or False: Dashboard UX can be enhanced by adding more colors and decorative elements that relate to the dashboard's topic.
A. True
B. False
13. Which of the following best explains the concept of "chartjunk":
A. Essential decorative elements that make charts more attractive
B. Unnecessary or distracting visual elements that do not improve data comprehension
C. Advanced charting techniques for complex data
D. A method of highlighting key data points
14. Which strategy helps create a sense of focus and flow within a dashboard?
A. Using random placement of data elements
B. Implementing a clear visual hierarchy
C. Adding as many interactive elements as possible
D. Using uniform font sizes throughout the dashboard
15. When designing a dashboard with a large amount of data, which technique can help users prioritize the most important information?
A. Displaying all data simultaneously without differentiation
B. Using size, color, and positioning to draw attention to key metrics
C. Making every element equally prominent
D. Adding multiple layers of complex navigation
16. Which of the following is NOT a basic color scheme discussed in color theory?
A. Monochromatic
B. Analogous
C. Complementary
D. Categorical
17. Fill in the blank: _______ color palettes are best for visualizing data with a clear midpoint and extremes at either end?
A. Sequential
B. Diverging
C. Qualitative
D. Binary
18. True or False: People with color blindness may struggle more with visualizations using a green and red diverging color scheme than one with blue and orange.
A. True
B. False
19. Which of these is a primary goal of color use in data visualization?
A. To make visualizations aesthetically pleasing
B. To encode and differentiate data effectively
C. To demonstrate design creativity
D. To use every color in the spectrum
20. You are designing a dashboard showing revenue growth over time. A sequential color scheme would be most appropriate because:
A. Revenue growth is a continuous measure
B. The data moves in one direction (from lower to higher values)
C. It helps users naturally interpret the progression of values
D. It creates a clear visual hierarchy
E. All of the above
21. Which chart type is a better alternative to pie charts for showing part-to-whole relationships?
A. Area chart
B. Line graph
C. Scatter plot
D. Bar chart
22. How does the choice of chart type influence the perception and understanding of data by the audience?
A. Through the alignment of visual representation with the data's natural patterns and relationships
B. By determining how many colors can be used in the visualization
C. By limiting the amount of data that can be displayed
D. Through the selection of fonts and text sizes
23. For comparing actual values against targets, which visualization works best?
A. Pie chart
B. Bullet chart
C. Tree map
D. Area chart
24. True or False: Starting a chart's axis at a value other than zero can be misleading to the viewer.
A. True
B. False
25. Why is it important to select visualizations that accurately represent the underlying data type?
A. To make the dashboard look more professional
B. To ensure the visualization communicates the true nature and relationships within the data
C. To demonstrate expertise in different chart types
D. To use the most complex visualization possible
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