{"id":18106785,"url":"https://github.com/tsbarr/toronto-open-data","last_synced_at":"2026-05-09T04:32:22.040Z","repository":{"id":259253369,"uuid":"877419744","full_name":"tsbarr/toronto-open-data","owner":"tsbarr","description":"Analysis of Toronto's open data initiatives. 🌆 Exploring Toronto's urban systems through data science 📊 Python-based analyses of public datasets 🔍 Focus on community impact and urban patterns 🎓 Academic rigour meets practical insights 🔄 Regularly updated with new analyses","archived":false,"fork":false,"pushed_at":"2025-05-12T22:35:35.000Z","size":1193,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-12T23:31:43.492Z","etag":null,"topics":["api-integration","civic-tech","ckan-api","data-analysis","data-cleaning","data-science","data-visualization","exploratory-data-analysis","jupyter-notebook","open-data","pandas","public-data","python","tableau","toronto","urban-analytics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tsbarr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-10-23T16:06:04.000Z","updated_at":"2025-05-12T22:35:38.000Z","dependencies_parsed_at":"2024-11-18T16:27:25.318Z","dependency_job_id":"297ed35b-2c1c-4b21-8356-f7ed7f27f16f","html_url":"https://github.com/tsbarr/toronto-open-data","commit_stats":null,"previous_names":["tsbarr/toronto-open-data"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tsbarr/toronto-open-data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsbarr%2Ftoronto-open-data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsbarr%2Ftoronto-open-data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsbarr%2Ftoronto-open-data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsbarr%2Ftoronto-open-data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tsbarr","download_url":"https://codeload.github.com/tsbarr/toronto-open-data/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tsbarr%2Ftoronto-open-data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32807194,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"online","status_checked_at":"2026-05-09T02:00:06.633Z","response_time":123,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["api-integration","civic-tech","ckan-api","data-analysis","data-cleaning","data-science","data-visualization","exploratory-data-analysis","jupyter-notebook","open-data","pandas","public-data","python","tableau","toronto","urban-analytics"],"created_at":"2024-10-31T23:08:02.332Z","updated_at":"2026-05-09T04:32:22.018Z","avatar_url":"https://github.com/tsbarr.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Toronto Open Data Analysis\n\n## Overview\nThis repository contains analyses of various public datasets from the [City of Toronto's Open Data Portal](https://open.toronto.ca/). Each analysis explores different aspects of urban life and city services, combining data science techniques with a focus on community impact.\n\n## Motivation\nAs a data scientist transitioning from evolutionary biology research, I'm fascinated by patterns in urban systems just as I once studied patterns in natural systems. Cities generate rich datasets that can help us understand and improve urban life. Toronto, my home city, provides extensive open data that enables evidence-based insights into how our city works and how we might make it better.\n\n## Projects\n\n### 🏥 [Mental Health Services Analysis](mental-health-services)\nAnalyzing Toronto's mental health infrastructure (2014-2024) to understand:\n- Geographic distribution of mental health services\n- Patterns in crisis response and apprehensions\n- Relationship between service availability and crisis events\n- Spatial equity in mental health resource distribution\n\n### 🚢 [Ferry Service Analysis](ferry_tickets)\nAnalyzing patterns in Toronto Island Ferry usage to understand:\n- Seasonal and daily transit patterns\n- Impact of weather and events on ridership\n- Opportunities for service optimization\n\n### 🐱🐕 [Pet Names Analysis](licensed-pets)\nExploring a decade of Toronto's pet licensing data (2012-2022) to reveal:\n- Evolution of pet naming trends\n- Comparative analysis between cat and dog names\n- Time series analysis of name popularity\n- Interactive visualizations of naming patterns\n\n## Technical Stack\n- **Data Collection**: Python, CKAN API\n- **Analysis**: Pandas, NumPy\n- **Visualization**: Matplotlib, Seaborn, Tableau\n- **Documentation**: Jupyter Notebooks, Markdown\n\n## Repository Structure\n```\ntoronto-open-data/\n├── mental-health-services/   # Mental Health Services analysis\n├── ferry_tickets/            # Toronto Island Ferry analysis\n├── licensed-pets/            # Pet Names analysis\n└── common/                   # Shared utilities and helpers\n    ├── utils.py              # Common functions\n    ├── toronto_api.py        # API interaction tools\n    └── weather.py            # Weather data tools\n```\n\u003c!-- └── docs/              # Additional documentation\n``` --\u003e\n\n\u003c!-- ## Getting Started\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/tsbarr/toronto-open-data.git\n   ```\n2. Install requirements:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Explore individual project directories for specific analyses --\u003e\n\n## Contributing\nWhile this is a personal portfolio project, I welcome suggestions and discussions about:\n- Additional datasets to analyze\n- New analytical approaches\n- Improvements to existing analyses\n- Bug fixes\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Contact\n- Tania Barrera\n- [My website](taniabarrera.ca)\n- [LinkedIn](https://www.linkedin.com/in/tania-sofia-barrera/)\n- [Tableau Public](https://public.tableau.com/app/profile/tsbarr/vizzes)\n\n## Acknowledgments\n- City of Toronto Open Data Team\n- Toronto's data science community\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsbarr%2Ftoronto-open-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftsbarr%2Ftoronto-open-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftsbarr%2Ftoronto-open-data/lists"}