Inspiration
Instead of asking how can Austin B-cycle data help Austin B-cycle and/or TxDOT, we asked how can Austin B-cycle data help other companies.
What it does
Displays density visualizations and utilizes a user volume multiple regression model.
How we built it
Data manipulation and analysis in R, Python, and Excel.
Challenges we ran into
Processing the mass amounts of data.
Accomplishments that we're proud of
Based on the questions we asked the data, we were able to get significant results that would be enough to give food trucks actionable insight.
What we learned
Teamworking, data science, and mental fortitude.
What's next for Dynamic Solutions
A good night's sleep.


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