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Abstract data visualization of Copenhagens bike traffic for an installation at the 4S/EASST conferences 2012.
C++ Python Arduino C
tree: 8fdcf23642

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arduino/chaos_flowcontrol
bin/data/GUI
chaosFlow.xcodeproj
data-utils
src
.gitignore
Project.xcconfig
README.md
openFrameworks-Info.plist

README.md

Abstract data visualization of Copenhagens bike traffic for an installation at the 4S/EASST conferences 2012.

Get the raw data at http://ge.tt/3mnABAM/v/0

Install and run mongodb: You can get mongo db using npm. Get node and npm from http://nodejs.org/download/.

$ npm install mongodb
$ mongod --dbpath data-utils/db 

Set up a python virtualenv and isntall requirements: Get virtualenv and pip from http://www.pip-installer.org/.

$ mkvirtualenv chaosflow
$ pip install -r data-utils/requirements.txt

Import data from excel files to mongo db using the python import script. Do a geocode lookup on every entry:

$ python import.py
$ python geocode.py

Run the server:

$ python server/chaosflow.py

Then you can run the openframeworks app.

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