- Code: no oop and huge try statement, not a good practice. It's not clean (no typing, no docstring)
- notebooks ok
- No useless branches on github 👍
- correlation analysis a bit vague
- good strategy to get the distribution per province and critical and non critical columns
- Good git usage 🔥 but try not pushing so many similar commits
- dataset absolute path hardcoded in dashboard, gave an error while launching and using streamlit. Use relative path instead
- Good idea to create a streamlit 🔥
- The presentation was not as good as it could have been, I understand working as a team is not always an easy task but you managed to present something it's already positive.
- Analysis was good and insights relevant
| Criteria | Indicator | Yes/No |
|---|---|---|
| Completeness | Answered all outlined questions | Yes |
Used pandas, matplotlib, or seaborn |
Yes | |
| Presented analysis results effectively | No | |
| Clean, well-structured code | No | |
| Comprehensive README | Yes | |
| Excellence | Answered additional creative questions | Yes |
| Addressed bonus questions | Yes | |
| Used effective colors in visualizations | Yes |