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** Uber Rides Data Analysis**

(Python + Pandas + Matplotlib)

Analysis of 2014 Uber trip data to identify usage patterns and geographic hotspots.

Project Goal

Analyzed 500K+ Uber rides in NYC (April 2014) to identify trends in peak hours, geographic hotspots, and weekday/weekend demand.

Key Insights

  • Peak Hours: 5 PM - 7 PM daily
  • Geographic Hotspots: Manhattan dominance

Tools Used

  • Pandas: Data preprocessing
  • Matplotlib/Seaborn: Visualization
  • Dataset: Uber NYC pickup data (April 2014) (Kaggle)

How to Run

  1. Install dependencies:
    pip install pandas numpy matplotlib  
    
    
    

Peak Hours
ride_frequency

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