Making Toronto's democracy more accessible.
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Updated
Sep 2, 2025 - TypeScript
Making Toronto's democracy more accessible.
Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.
Bike Share Toronto 2021 Data Analysis & Interactive Visualization
A UI for the myttc.ca API, made with tailwind and jquery.
Unofficial Pearson Airport API providing data on departing and arriving flights. Microservice architecture written with Node.js, Express, Python, MySQL, and Docker.
Project Explores Toronto Neighborhoods and Housing using a variety of data science and machine learning techniques.
A prepared environment for beginners to start on data science(Python, Jupyter and Pandas), with code retrieving real time Covid-19 case open data, and sample plotting scripts.
🚗 TorontoParking: Revolutionizing 🌆 Toronto's parking game! Tap into open data, find
Toronto bike share API library
Statistical and geospatial analysis of Toronto Bike Share data and what it can tell us about the impact of changes to Toronto's bicycle infrastructure
Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA
This analysis looks at basement flooding and sewage service requests across Toronto wards from 2005 to 2023.
Identified trends in Major Crime Indicators data to recommend crime reduction strategies.
Toronto 2016 census polygons for PostGIS.
An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.
Press a button and be shown a random Toronto street bench. Have a seat.
aws lambda function to get collection schedule for a Toronto address
A visualization of Covid-19 cases and low-income neighborhoods in Toronto using data from the City of Toronto's Open Data resource.
This is a repository for a research article that is currently under peer review (as of October 2024). The article uses Machine Learning and Generative AI to compare how both technologies achieve a particular result in crime suspects exercises.
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