Code
Big Data Dashboard for Urban Mobility Patterns
Overview
What this challenge is about.
Using the provided sample dataset (100K anonymized trip records with timestamps, origin/destination coordinates, transport mode, and duration), build a dashboard prototype. Requirements: (1) time-series visualization of daily/weekly trip volumes by mode, (2) geographic heatmap of popular origins/destinations, (3) peak hour analysis, (4) month-over-month trend comparison. Use any tool: Tableau Public, Google Data Studio, Python + Plotly, or a web framework.
The Brief
What you'll do, and what you'll demonstrate.
Build an interactive data dashboard that combines at least three urban mobility datasets from Berlin's open data sources, visualizes key mobility patterns and trends, and provides actionable insights for urban planners making infrastructure investment decisions.
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
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Careers
Roles this prepares you for.
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