Week 2 - Analyzing Capital Bikeshare Trends & Rider Behavior

This Power BI report provides a deep dive into Capital Bikeshare usage trends, uncovering key insights into rider behavior, bike preferences, and trip patterns across different user groups. By leveraging interactive visualizations, this analysis highlights:

1. How ridership trends evolve over time (members vs. casuals).
2. Peak riding hours and periods of the day for different rider types.
3. Bike type preferences—who prefers e-bikes vs. docked bikes?
4. Ride duration analysis—how long and how far do riders go?
5. Seasonal patterns and year-over-year growth trends.

The data for this dashboard is sourced from

https://capitalbikeshare.com/system-data

https://opendata.dc.gov/datasets/address-points/explore

 

🏆 Power BI DataViz World Championships | Week 2 Challenge 🌎 

 

 

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