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Uber NYC Rider Experience

Data-driven analysis of Uber ride performance across NYC zones and rider segments using Python.

Python (Pandas) Data Visualization

Overview

Data-driven analysis of Uber ride performance across NYC zones and rider segments using Python.

Key Insights

  • Riders aged 18–22 cancel significantly more often, with a 24 percent cancellation rate compared to the 14.6 percent overall average
  • Wait time strongly influences cancellations, particularly in high-demand zones
  • The Bronx shows the longest average wait times and highest cancellation rates, highlighting operational supply-demand imbalance

Tools Used

Python (Pandas) Data Visualization

Business Takeaway

The analysis highlights a supply-demand imbalance across NYC zones and suggests a need for operational strategies that reduce rider wait times and improve service reliability in underserved areas.

Project Screenshots

Bar chart showing cancellation rate by age group — 18–22 riders cancel at 24%, nearly double the 14.6% average
Cancellation Rate by Age Group
Chart showing wait time and cancellation rate by NYC zone — the Bronx leads in both metrics
Wait Time and Cancellation by Zone
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