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A user-friendly web app which leverages Daily Shelter Occupancy Data to assist those experiencing (or at risk of) homelessness & meal insecurity, by providing the latest shelter occupancy updates and real-time drop in meal schedules.
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.
Unofficial Pearson Airport API providing data on departing and arriving flights. Microservice architecture written with Node.js, Express, Python, MySQL, and Docker.
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.
An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.
This group project aims to analyze and visualize crime cases in Toronto from 2014-2019. Correlations between crime and various metrics like time and seasons, premises and locations, and economy were looked at using open datasets from Toronto Police.
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.
Exploratory Analysis of the TTC Delay data from the City of Toronto data portal, cross-examined with historical weather data and TTC ridership statistics.