How hemen-dev/toronto-animal-services-analysis works
This is a small operational-data analysis project, not a service-request application. Its documented workflow takes Toronto Animal Services request data through validation and cleaning, transformation, analysis, and visualization; the principal results compare Mobile Response with Enforcement and examine request-type and yearly trends, including wildlife and coyote requests. The README documents this sequence, but the supplied source excerpts are empty, so internal calls and the relationship between the script and notebook cannot be verified.
Main entry points: analysis.py Demand analysis · figures Charts
Components 9
Data analysis
- Validation and cleaning
src/analysis.py - Grouping and summaries
src/analysis.py - Demand analysis
src/analysis.py - Area comparison
src/analysis.py - Wildlife trends
src/analysis.py - Visualization
src/analysis.py - Analysis notebook
notebooks/analysis.ipynb
Analysis outputs
- Charts
outputs/figures
Other components
- Toronto Open Data
Connections 7
- Toronto Open Data → Validation and cleaning: provides records
- Validation and cleaning → Grouping and summaries: cleans records
- Grouping and summaries → Demand analysis: creates summaries
- Demand analysis → Area comparison: compares areas
- Demand analysis → Wildlife trends: examines trends
- Demand analysis → Visualization: visualizes findings
- Visualization → Charts: produces charts