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(ASU) CSE 578 Data Visualization - Knowledge Assessment Review .
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  • Course
  • Computer Science
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  • Arizona State University

(ASU) CSE 578 Data Visualization - Kn(ASU) CSE 578 Data Visualization - Knowledge Assessment Review .(ASU) CSE 578 Data Visualization - Knowledge Assessment Review ge Assessment Review .

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  • September 6, 2024
  • 27
  • 2024/2025
  • Exam (elaborations)
  • Unknown

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  • asu cse 578 data visualization knowledge asses

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  • Arizona State University
  • Computer Science
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CSE 578



Data Visualization




KNOWLEDGE ASSESSMENT
REVIEW




© ASU 2024/2025

,1. Multiple Choice: Which of the following is not a principle of
effective data visualization?
a) Clarity
b) Accuracy
c) Complexity
d) Consistency
Answer: c) Complexity
Rationale: Effective data visualization should aim for simplicity to
ensure the message is clear and comprehensible.


2. Fill-in-the-Blank: The __________ dimension in data
visualization helps to represent data accurately over a period.
Answer: Time
Rationale: The time dimension is crucial for showing trends and
changes over a period, which is essential for accurate data
interpretation.


3. True/False: 3D visualizations are always more effective than 2D
visualizations.
Answer: False

© ASU 2024/2025

, Rationale: While 3D visualizations can be more visually engaging,
they are not always more effective as they can introduce distortion
and make data interpretation more difficult.


4. Multiple Response: Which of the following are benefits of using
color in data visualization? (Select all that apply)
a) It can represent different data categories.
b) It can evoke emotional responses.
c) It can distract the viewer if overused.
d) It can reduce the need for textual explanations.
Answers: a), b), d)
Rationale: Color can enhance understanding by differentiating
data and reducing text, but overuse can be distracting.


5. Multiple Choice: In the context of data visualization, what does
the term 'pre-attentive processing' refer to?
a) The time it takes to interpret a graph
b) The automatic and subconscious processing of visual
information
c) The manual adjustment of data sets
d) The attention paid to detailed aspects of the visualization
Answer: b) The automatic and subconscious processing of
visual information
© ASU 2024/2025

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