Code peer review from KG Competitors

The following is the peer review of the project code by KGCompetitors. The team members that participated in this review are

@h-akston Maksim Kulik @remisublette Remi Hendershott @suryavardhandama Surya Vardhan Dama @Sailaasya-1 Gorantla Sai Laasya @KommareddyMonicaTejaswi Monica Tejaswi Kommareddy @xinformatics Shashank Yadav @Priom1996 Priom Mahmud

1. Purpose of Code

[ ✅] Clearly defined and understood
[ ] Ambiguous or unclear

2. Code Quality

[ ✅] Code is clean, readable, and well-organized
[ ✅] Adequate comments explaining complex or tricky code sections
[ ✅] Variables, methods, and classes have meaningful names
[ ✅] Consistent code style (indentation, naming conventions, etc.)

3. Functionality

[✅ ] Code functions as intended and produces the expected outcome
[✅] Edge cases have been considered and handled
[✅ ] No obvious bugs or issues found

4. Testing

[ ] Adequate unit tests covering key functionality
[ ] Tests are clear and can be easily understood
[✅] All tests pass successfully

5. Documentation

[✅ ] Code documentation (e.g., docstrings, comments) is sufficient
[ ] Readme or other documentation updated if necessary

1: No final results, interpretations, and conclusions available based on the analysis

6. Best Practices

[✅ ] No hardcoded values; constants used appropriately
[✅] Security and privacy concerns addressed (e.g., no sensitive data exposed)
[✅] Code avoids repetition and promotes reusability

7. Additional Comments

Please provide feedback, areas of improvement, or other observations.

1: Consider provisioning y-axis tick labels in Figures 2, and 3 for Question 1. Also, provide figure legends for all figures.

2: Consider providing units for variables for Figure 3 of Question 2 and for the x-axis of the renewables and non-renewable consumption plot.

8. Recommendation

[✅] Approved - ready to be merged
[ ] Approved with minor issues - can be addressed later
[ ] Requires changes - provide feedback and request another review

INFO523-S24 / project-final-datadetectives