Bike Share Toronto 2021 Data Analysis & Interactive Visualization

A basic municipal address Geocoder

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.

Toronto 2016 census polygons for PostGIS.

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.

Identified trends in Major Crime Indicators data to recommend crime reduction strategies.

An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.

Exploratory Analysis of the TTC Delay data from the City of Toronto data portal, cross-examined with historical weather data and TTC ridership statistics.

Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA

Toronto bike share API library

Where is the Safest Space? uOttaHack4 Submission (https://devpost.com/software/where-is-the-safest-space)

An analysis of Toronto Paramedic Services' response times to determine its efficacy as an emergency service.

Code and data used to analyze Toronto's Major Crime Indicator occurrences as provided by OpenDataToronto.

A visualization of Covid-19 cases and low-income neighborhoods in Toronto using data from the City of Toronto's Open Data resource.

Web Mapping Application displaying the various vaccination clinic locations in Toronto, Ontario.

Press a button and be shown a random Toronto street bench. Have a seat.

Project Explores Toronto Neighborhoods and Housing using a variety of data science and machine learning techniques.

🚗 TorontoParking: Revolutionizing 🌆 Toronto's parking game! Tap into open data, find 🅿️ spots, and reserve in a snap! 📱🎉