December 12, 2013 · 7:00 PM
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MEET MATT HOLTOM: Matt is an experienced hacker, active firefighter and creator of Toronto Fire Calls. He's also founder of Code & Iron. Matt will kickoff this meetup with a story of how he built Toronto Fire Calls to provide a real-time display of active emergencies across Toronto.
VISUALIZATION: A live-coding session where you will learn how to geocode a dataset and map it using Ruby and the Google Maps API. This event is for developers who want to explore different ways of visualizing geographic data. Some background in Ruby is helpful.
We will be using Ruby and the Google Maps API to analyze the Toronto Cats and Dogs dataset by postal code (from Open Data Toronto).
Pro-Talk [30 min]: Matt Holtom shares how he turned this raw fire data into this beautiful interactive map. He will cover the fundamentals of geocoding, challenges encountered, feature tradeoffs and overall what he learned from the project and technology used.
Live Coding Tutorial [90 min]: As a group, we will modify a sample project created by Matt to visually answer the following questions about the Toronto Cats & Dogs dataset:
1. Which area of Toronto have the most cats and the most dogs?
2. Which area of Toronto has the most dog lovers and cat lovers (the biggest difference between number of dogs and cats)?
Please add the DVTO4 Vagrant Image prior to the meetup (see link below). The Vagrant Image contains a prepackaged Rails and Postgres environment that's ready to go.
Setup instructions: https://github.com/codeandiron/catsanddogs
WHO SHOULD ATTEND
This session is intended for people who are interested in exploring different ways of visualizing geographic data.
ABOUT THE DATASET
The requirements and setup instructions above include the git project and dataset for this meetup.