Visual Analytics Strategy 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. What is the purpose of visualizing data?
A. To make data look pretty.
B. To replace the need for data analysis.
C. To fill up reports and presentations with visual elements.
D. To find and communicate actionable insights.
2. What are the three benefits of visualizing data?
A. Creativity, innovation, and artistry
B. Efficiency, accuracy, and engagement
C. Completeness, flexibility, and simplicity
D. Organization, structure, and neatness
3. What is a preattentive attribute?
A. Visual properties that our brains process unconsciously
B. A learned or trained visual response
C. Conscious and deliberate visual processing
D. Subjective interpretations of visual design
4. Which preattentive attribute can be added to a spreadsheet to introduce the benefits of visualizing data?
A. Size
B. Font
C. Color
D. Decimals
5. Which preattentive attribute is the weakest among these?
A. Size
B. Height / Length
C. 2-D Position
D. Color
6. Which three chart types are William Playfair credited with inventing?
A. Bar chart, line graph, & pie chart
B. Area graph, scatter plot, & box-and-whiskers
C. Slope graph, heat map, & sparklines
D. Pareto chart, Venn diagram, & Sankey chart
7. How long has data visualization technically existed?
A. The invention of the printing press (600 years)
B. The creation of the first maps (2000 years)
C. Lascaux Cave Paintings in France (12,000 - 17,000 years)
D. William Playfair's first statistical charts (250 years)
8. Whose work in data visualization directly influenced William Playfair's invention of the bar chart?
A. Joseph Priestley's timeline
B. Charles Minard's map of Napoleon's Russian campaign
C. Hans Rosling's animated bubble charts
D. Jacques Bertin's semiology of graphics
9. What are four areas of study that are related to data visualization?
A. Sociology, anthropology, economics, & politics
B. Biology, chemistry, physics, & geology
C. Literature, history, philosophy, & art
D. Mathematics, psychology, design, & computer science
10. What book coined two key data visualization terms we still use today, 'data-ink ratio' and 'chartjunk'?
A. The Visual Display of Quantitative Information (Tufte, 1983)
B. The Elements of Graphing Data (Cleveland, 1985)
C. Envisioning Information (Tufte, 1990)
D. Show Me the Numbers (Few, 2004)
11. What is Playfair Data's first "vital" discovery question?
A. What's your favorite chart?
B. Do you think this looks cool?
C. Who is the audience?
D. How are we being measured?
12. What is Playfair Data's second "vital" discovery question?
A. What software program are you using?
B. What is the measurement of success?
C. Can you share some examples you like?
D. Where does the data exist?
13. What does the (M)OST model stand for?
A. Metrics, Outcomes, Success, & Targets
B. Mission, Objectives, Strategies, & Tactics
C. Materials, Organization, Systems, & Technology
D. Methods, Observations, Solutions, & Techniques
14. What does a SMART goal / objective stand for?
A. Specific, Measurable, Attainable, Relevant, & Time-bound
B. Simple, Manageable, Achievable, Realistic, & Timely
C. Sustainable, Meaningful, Appropriate, Realistic, & Targeted
D. Systematic, Methodical, Analytical, Rigorous, & Thorough
15. What is an example of a SMART objective?
A. Increase customer satisfaction by 25% by Q3
B. Decrease costs
C. Improve conversion rate by 5 percentage points
D. Make more money next year
16. What four types of analytics make up the SEA(D) framework?
A. Statistical, Experimental, Applied, & Descriptive
B. Strategic, Evaluative, Analytical, & Diagnostic
C. Search, Explanatory, Actionable, & Decision Science
D. Structured, Exploratory, Algorithmic, & Deliberative
17. In our estimation, what percentage of data visualization practitioners are stuck on explanatory analytics?
A. 20%
B. 50%
C. 80%
D. 99%
18. What is the weakness of explanatory analytics?
A. They ignore correlation & causation
B. Historical data helps predict the future
C. They're not always a raw spreadsheet
D. They're not always actionable
19. What is a good example of an actionable insight and recommendation?
A. Product X made more money this year
B. Product X is unprofitable; reduce the discount
C. The CPO told us to order more of Product X
D. Product X is unprofitable; what should we do?
20. True or False? 'Search & discovery' analytics are not as valuable as the other types of analytics.
A. True
B. False
21. According to Ryan Sleeper, which three chart types alone answer half of all business questions that arise?
A. Pareto chart, bar chart, & highlight table
B. Crosstab, line graph, & pace chart
C. Scatter plot, slope graph, & histogram
D. Bar chart, line graph, & scatter plot
22. Select the group of additional chart types that are relatively most effective:
A. Pie chart, 3D bar chart, & line graph
B. Highlight table, map, & Pareto chart
C. Radar chart, gauge chart, & area chart
D. Crosstab, bubble chart, & treemap
23. Select the group of additional chart types that are relatively least effective:
A. Scatter plot, histogram, & stacked bar chart
B. Highlight table, waterfall chart, & 3D bar chart
C. Crosstab, pie chart, & stacked bar chart
D. Bar chart, line graph, & map
24. Which of these chart types is considered a gateway to data visualization?
A. Text table
B. Pie chart
C. Highlight table
D. Grouped bubble chart
25. What combination makes it possible to create new types of data visualization?
A. Axes & preattentive attributes
B. Metrics & storytelling
C. Algorithms & visualizations
D. Color & KPIs
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