Complete Assignment 2: good and bad data visualization

[katariamonika]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

This pull request completes Assignment 2 by populating the assignment_2.md file with one example of a good data visualization and one example of a bad data visualization. Each example includes justification for classification and suggested improvements, in line with course requirements.

What did you learn from the changes you have made?

Learnt how different design choices such as chart type, color use and visual complexity affect how easily data can be interpreted. I also learned how poor design decisions can increase cognitive load and lead to misinterpretation of data.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

No

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

One challenge was identifying publicly accessible and reliable examples of bad data visualizations.

How were these changes tested?

The markdown file was reviewed locally to ensure formatting rendered correctly and content aligned with assignment requirements. The pull request was also checked in a private browser window to confirm accessibility.

A reference to a related issue in your repository (if applicable)

Not applicable.

Checklist

• I can confirm that my changes are working as intended

[tianyi21]

Hi Monika,

Thank you for submitting your Vis A2.

✅ You demonstrate your understanding of evaluating existing visualizations.
✅ You include a good visualization and explain its effectiveness.
✅ You discuss how to further improve the good visualization.
✅ You include a bad visualization and identify its potential issues.
✅ You suggest ways to improve the bad visualization.

Your A2 is now complete!

Tianyi [LS]