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Hanwen Dun

PROFILE

Hanwen Dun

Developed a geospatial-ready hydrant coverage analysis for Melbourne within the Chameleon-company/MOP-Code repository, focusing on urban planning and fire safety analytics. The work involved end-to-end data import, cleaning, and preparation, establishing a reusable workflow for hydrant datasets. Leveraging Python, Pandas, and Folium, the developer enabled geospatial visualization capabilities that support data-driven decision making for city infrastructure. The project was completed within the first sprint, with no major bugs reported, and laid the groundwork for future visualization features. This contribution provided a foundation for rapid analysis and visualization of hydrant coverage, enhancing the repository’s support for urban planning initiatives.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
12,551
Activity Months1

Your Network

190 people

Work History

August 2025

2 Commits • 1 Features

Aug 1, 2025

August 2025 summary for Chameleon-company/MOP-Code: Delivered a new geospatial-ready hydrant coverage analysis for Melbourne (UC00196). Implemented data import, cleaning, and preparation steps to enable geospatial visualization and support for urban planning and fire safety analytics. No major bugs reported; work completed within sprint 1 commitments. This lays the foundation for data-driven decision making and future visualization features.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

HTMLJavaScriptJupyter NotebookPython

Technical Skills

Data AnalysisData CleaningData VisualizationFoliumGeospatial AnalysisMatplotlibPandasPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Chameleon-company/MOP-Code

Aug 2025 Aug 2025
1 Month active

Languages Used

HTMLJavaScriptJupyter NotebookPython

Technical Skills

Data AnalysisData CleaningData VisualizationFoliumGeospatial AnalysisMatplotlib