UC00198_WASTE_MANAGEMENT_AND_HEALTH_RISKS-100%-COMPLETE

[deepthireddy03]

This pull request includes the final updates and enhancements for the project:

• Cleaned and aligned waste, complaints, zones, and social datasets; built a monthly table with a guard against partial-month bias.
• Created visuals: waste vs complaints (3-month rolling), stacked area of top streams plus other, and a Top Movers bar chart (last 12 vs prior 12 months).
• Found a strong waste–complaints link (same-month r≈0.81; lag-1 r≈0.81), so a waste spike is a good early signal for next month’s complaints.
• Built a suburb risk matrix and K-Means clusters (silhouette≈0.44); hotspots are Melbourne, Carlton, West Melbourne; Residential drives growth with Recycling and Mattresses rising; month clustering and IsolationForest flagged peaks and anomalies.

[Nidhi-kanchepalle]

Hi Deepthi,

This use case is excellent! The data has been accessed using APIs, the correct template has been used, and the pull request has been raised in the right folder. You’ve presented some really valuable insights, especially around waste composition over time and identifying the top streams. All visualisations are neat and clear, with proper legends.

The code documentation is particularly impressive. Including sections like “What the code does,” “Why this visualisation,” and “Conclusion” for each snippet makes the use case very easy to follow. The logical flow is strong, and the tutorial-style approach adds great value for readers.

I did notice that “standardize” has been used instead of “standardise” in a few places—this just needs a quick fix before merging into the master branch. Apart from that, everything else is spot on. Fantastic work!

[nelkin01]

Hi Deepthi,

Great work!

Your use case is well-defined and easy to understand. Every section is well put together with a proper set of explanation throughout the analysis you have performed.

Data has been pulled using API, which satisfies the requirement.

The use of Australian English is missing in a few places but overall well done.

I also liked the detailed references you have added which is helpful for someone going through your work, who has minimal knowledge.

Approving the merge! Thanks.