A collection of all the things we've worked on, the data we mined and the software we created.
We wanted to find the worst bike paths located in Berlin by crunching through several datasets with multiple metrics. Bike paths were rated by an index calculated using air quality measurements, traffic measurements and quality state of the street.
Using the Air quality metrics we were also able to calculate roughly how much CO2 emissions could be saved by replacing busy streets with a bike path (Not really a useful metric since the cars wouldn't just disappear, but still an interesting one.)
We used the Geodata to display the bike paths with a quality index less than 3 in an interactive map.
We all had incredibly much fun working through this for 24 hours. It's amazing how much we all learned and at what a high level our teamwork was operating.
Marc and Manuel for keeping the team on track and reminding us to recap our thoughts and doings. Management was very important for us all to keep going in the same direction.
Ilja, Kathi and Carl for making the huge datasets accessable and easy to work with.
Kai for getting the AWS mining server running even though it crashed on us a few times.
And Ann-Kathrin who kept us from starving when we zoned out, for the cool logo she made and supporting us.