Chapter 14: Quiz - Player and Team Comparison Charts

Instructions

Answer all 30 questions. Each question is worth 1 point. Time limit: 45 minutes.

Section A: Comparison Principles (Questions 1-8)

Question 1: What are the three essential elements of effective comparisons? - A) Color, size, and position - B) Common baseline, consistent scale, and relevant context - C) Title, legend, and axis labels - D) Data, encoding, and annotation

Question 2: When comparing a backup quarterback to a starter, which adjustment is most important? - A) Adjusting for jersey number - B) Adjusting for playing time and game situations - C) Adjusting for draft position - D) Adjusting for recruiting ranking

Question 3: Which comparison type is appropriate for showing how a team's efficiency changed from first half to second half of the season? - A) One-to-one - B) One-to-many - C) Many-to-many - D) Temporal

Question 4: What is the primary purpose of normalizing statistics before comparison? - A) To make visualizations more colorful - B) To ensure fair comparison across different opportunities - C) To hide poor performance - D) To reduce file size

Question 5: When comparing players across eras, which factor must be considered? - A) Player height - B) Team colors - C) Rule changes affecting statistics - D) Stadium capacity

Question 6: What does "cherry-picking metrics" mean in comparison visualization? - A) Selecting only metrics that favor one side - B) Choosing metrics with red and green colors - C) Using fruit-themed visualizations - D) Picking random metrics

Question 7: A comparison chart shows Team A's bar starting at 0 and Team B's bar starting at 50. What is this problem called? - A) Inconsistent baseline - B) Color blindness - C) Data normalization - D) Aspect ratio distortion

Question 8: Which statement best describes position equivalence in player comparisons? - A) Players should be the same height - B) Players should have played in the same game - C) Players should have equivalent roles to be fairly compared - D) Players should be from the same draft class

Section B: Radar Charts (Questions 9-14)

Question 9: What is another name for a radar chart? - A) Pie chart - B) Spider chart - C) Bar chart - D) Scatter plot

Question 10: What is the optimal number of metrics for a radar chart? - A) 2-3 - B) 5-8 - C) 10-15 - D) 20+

Question 11: In a radar chart, where do higher values appear? - A) Closer to the center - B) Farther from the center - C) On the left side only - D) Depends on the metric

Question 12: What is a key limitation of radar charts? - A) They cannot show multiple players - B) Humans poorly judge irregular polygon areas - C) They only work with percentages - D) They require exactly 6 metrics

Question 13: When creating a quarterback radar chart, what should you do with interception rate? - A) Ignore it - B) Invert it so higher is better - C) Display it as negative values - D) Use a separate chart

Question 14: Why is metric ordering important in radar charts? - A) It affects alphabetical sorting - B) Related metrics should be adjacent for meaningful shapes - C) It determines chart color - D) It has no effect on interpretation

Section C: Bar Chart Comparisons (Questions 15-20)

Question 15: Which bar chart orientation is best for ranking 25 teams? - A) Vertical - B) Horizontal - C) Diagonal - D) Circular

Question 16: A diverging bar chart is most appropriate for showing: - A) Total yards - B) Deviation from average - C) Team colors - D) Player heights

Question 17: In a grouped bar chart comparing 4 teams across 3 metrics, how many bars are shown per team position? - A) 1 - B) 3 - C) 4 - D) 12

Question 18: Stacked bar charts are best for showing: - A) Ranking position - B) Composition breakdown of a total - C) Change over time - D) Correlation between variables

Question 19: What should bar charts include to provide context for values? - A) Only colors - B) Reference lines showing averages or benchmarks - C) Team logos only - D) Decorative borders

Question 20: When sorting a ranking bar chart, the top performer should appear: - A) At the bottom - B) At the top - C) In the middle - D) On the right side

Section D: Paired and Temporal Comparisons (Questions 21-26)

Question 21: A dumbbell chart is most appropriate for: - A) Showing 50 data points - B) Comparing two values per entity - C) Creating 3D visualizations - D) Displaying hierarchical data

Question 22: In a slope chart, a line going upward indicates: - A) Decline in value - B) No change - C) Increase in value - D) Missing data

Question 23: What distinguishes a bump chart from other charts? - A) It uses color to encode data - B) It tracks ranking positions rather than absolute values - C) It only works with two data points - D) It requires circular layout

Question 24: In a bump chart showing rankings, rank 1 should appear: - A) At the bottom of the y-axis - B) At the top of the y-axis - C) In the middle - D) On the x-axis

Question 25: When creating a slope chart with many lines, what technique improves readability? - A) Remove all labels - B) Highlight key lines while fading others - C) Use the same color for all lines - D) Add more gridlines

Question 26: A dumbbell chart connector colored green typically indicates: - A) Team color - B) Random assignment - C) Positive change/improvement - D) Data quality issue

Section E: Advanced Techniques (Questions 27-30)

Question 27: In similarity analysis, what does a dendrogram show? - A) Team logos - B) Hierarchical clustering relationships - C) Bar chart rankings - D) Pie chart segments

Question 28: A percentile rank of 85 means: - A) The player scored 85 points - B) The player is in the top 15% (better than 85% of population) - C) 85% of games were played - D) The player has 85 seasons of experience

Question 29: What is the purpose of small multiples in comparison visualization? - A) To make charts smaller - B) To show multiple magnification levels - C) To enable pattern recognition across many groups using consistent chart structure - D) To reduce data storage requirements

Question 30: When using swarm plots for comparison, what do individual points represent? - A) Individual observations in the distribution - B) Team colors - C) Chart borders - D) Axis labels

Answer Key

Scoring Guide