uploading the completed assignment 2#1
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namraschazil
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Jun 12, 2026
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A thorough and well-explained reasoning behind the good and bad visualizations. Improvements for the bad visualization were also fairly documented. Good work. Pass!
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
In this assignment, I compared two data visualizations and analyzed their strengths and weaknesses based on three criteria: aesthetic (visual appeal), perceptual (interpretability), and substantive (information values) qualities. I also provided suggestions for improving the visualizations.
What did you learn from the changes you have made?
Even though data visualizations can never be entirely objective, there are well established guidelines that can be used to evaluate their effectiveness. These include aesthetic, perceptual, and substantive qualities, which help determine how clearly and accurately a visualization communicates its underlying message.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
N/A
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
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How were these changes tested?
N/A
A reference to a related issue in your repository (if applicable)
N/A
Checklist
[ Y] I can confirm that my changes are working as intended