(Python + Pandas + Matplotlib)
Analysis of 2014 Uber trip data to identify usage patterns and geographic hotspots.
Analyzed 500K+ Uber rides in NYC (April 2014) to identify trends in peak hours, geographic hotspots, and weekday/weekend demand.
- Peak Hours: 5 PM - 7 PM daily
- Geographic Hotspots: Manhattan dominance
- Pandas: Data preprocessing
- Matplotlib/Seaborn: Visualization
- Dataset: Uber NYC pickup data (April 2014) (Kaggle)
- Install dependencies:
pip install pandas numpy matplotlib

