A2 Peer Review
Use this form to submit a peer review for an A2 submission. Please take care to complete the form carefully and completely. Remember that you must submit separate forms for each assigned submission. For more details, see https://courses.cs.washington.edu/courses/cse442/21au/a2-review.html
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Your Name *
Include your first and last name.
Your UW NetID *
This is your UW login name, not an id number.
A2 Submission ID *
The identifier of the A2 submission you are evaluating. The text should exactly match the identifier listed on the assignment review page.
Which of the visualizations is deceptive? *
Select which of the two visualizations you believe to be the intentionally deceptive design.
Explain the rationale for your choice of deceptive visualization. *
How did you determine which visualization you believe to be intentionally deceptive? What aspects of the visualizations led you to conclude that it is either deceptive or earnest? Please describe all relevant factors, potentially including the use of data transformations, visual encodings, axes, legends, titles, and caption.
Visualization A Review
Below, provide feedback on Visualization A. Consider: Are expressive and effective visual encodings applied? How well do they reveal the most important features or trends of the underlying data? Is an audience likely to (mis)understand the visualization? Are elements appropriately titled or labeled? Is there appropriate spacing, layout, legible type, and other forms of design styling?
I Like... (Visualization A) *
Provide 2 or more points of praise for design concepts or well-executed design details.
I Wish... (Visualization A) *
Provide 2 or more constructive statements on how the design might be improved or further refined.
What If... (Visualization A) *
Suggest 2 or more alternative design directions, even wacky half-baked ideas.
Visualization B Review
Below, provide feedback on Visualization B. Consider: Are expressive and effective visual encodings applied? How well do they reveal the most important features or trends of the underlying data? Is an audience likely to (mis)understand the visualization? Are elements appropriately titled or labeled? Is there appropriate spacing, layout, legible type, and other forms of design styling?
I Like... (Visualization B) *
Provide 2 or more points of praise for design concepts or well-executed design details.
I Wish... (Visualization B) *
Provide 2 or more constructive statements on how the design might be improved or further refined.
What If... (Visualization B) *
Suggest 2 or more alternative design directions, even wacky half-baked ideas.
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