ᴄᴏɴstellation

Conference planning and organizing. Redefined.

(Probably) available to test on Azure.

(This project was written in 48 hours for the Canadian Open Data Experience.)

Open Data Used

• Labour force survey estimates (LFS), employment by census metropolitan area based on 2006 census boundaries and North American Industry Classification System (NAICS), 3-month moving average, unadjusted for seasonality
• Labour force survey estimates (LFS), employment by economic region based on 2011 census boundaries and North American Industry Classification System (NAICS), 3-month moving average, unadjusted for seasonality
• Labour force survey estimates (LFS), by census metropolitan area based on 2011 census boundaries, 3-month moving average, seasonally adjusted and unadjusted
• FourSquare API

Tech Stack

• Database: MongoDB
• Back-end web: Ruby with modules including:
• Sinatra web framework
• Front-end web:
• Bootstrap based CSS theme
• D3.js for visualizations
• NVD3.js for pretty visualizations
• jQuery to make JavaScript easier
• Leaflet to make pretty maps
• KnockOutJS for data binding
• IntroJS for system tour

How to Run

Start with:

• Ruby
• Bundler
• Running MongoDB

Download and run:

git clone https://github.com/IPPETAD/code-2015
cd code-2015

unzip db/james.zip        # Extract database dump
mongorestore db/james     # Import database

bundle install            # To install sinatra
rackup                    # To run 

Boom. Visit localhost:8080.