Skip to content

Analysis of Toronto's open data initiatives. πŸŒ† Exploring Toronto's urban systems through data science πŸ“Š Python-based analyses of public datasets πŸ” Focus on community impact and urban patterns πŸŽ“ Academic rigour meets practical insights πŸ”„ Regularly updated with new analyses

License

Notifications You must be signed in to change notification settings

tsbarr/toronto-open-data

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

64 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Toronto Open Data Analysis

Overview

This repository contains analyses of various public datasets from the City of Toronto's Open Data Portal. Each analysis explores different aspects of urban life and city services, combining data science techniques with a focus on community impact.

Motivation

As 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.

Projects

Analyzing Toronto's mental health infrastructure (2014-2024) to understand:

  • Geographic distribution of mental health services
  • Patterns in crisis response and apprehensions
  • Relationship between service availability and crisis events
  • Spatial equity in mental health resource distribution

Analyzing patterns in Toronto Island Ferry usage to understand:

  • Seasonal and daily transit patterns
  • Impact of weather and events on ridership
  • Opportunities for service optimization

πŸ±πŸ• Pet Names Analysis

Exploring a decade of Toronto's pet licensing data (2012-2022) to reveal:

  • Evolution of pet naming trends
  • Comparative analysis between cat and dog names
  • Time series analysis of name popularity
  • Interactive visualizations of naming patterns

Technical Stack

  • Data Collection: Python, CKAN API
  • Analysis: Pandas, NumPy
  • Visualization: Matplotlib, Seaborn, Tableau
  • Documentation: Jupyter Notebooks, Markdown

Repository Structure

toronto-open-data/
β”œβ”€β”€ mental-health-services/   # Mental Health Services analysis
β”œβ”€β”€ ferry_tickets/            # Toronto Island Ferry analysis
β”œβ”€β”€ licensed-pets/            # Pet Names analysis
└── common/                   # Shared utilities and helpers
    β”œβ”€β”€ utils.py              # Common functions
    β”œβ”€β”€ toronto_api.py        # API interaction tools
    └── weather.py            # Weather data tools

Contributing

While this is a personal portfolio project, I welcome suggestions and discussions about:

  • Additional datasets to analyze
  • New analytical approaches
  • Improvements to existing analyses
  • Bug fixes

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Acknowledgments

  • City of Toronto Open Data Team
  • Toronto's data science community

About

Analysis of Toronto's open data initiatives. πŸŒ† Exploring Toronto's urban systems through data science πŸ“Š Python-based analyses of public datasets πŸ” Focus on community impact and urban patterns πŸŽ“ Academic rigour meets practical insights πŸ”„ Regularly updated with new analyses

Topics

Resources

License

Stars

Watchers

Forks