Project 03 · Data analytics

Chicago Taxi Trip Analysis

✅ publisheddata: 2026

Analysis of reported Chicago taxi trips to study duration, demand, geospatial distribution and operational patterns.

Python
Pandas
Plotly
Taxi
Geospatial
Data analysis

CONTEXT AND OBJECTIVE

Analyze reported Chicago taxi trips to identify patterns in duration, demand, high-activity zones and operational behavior.

DATA AND DIAGNOSIS

  • Public reported-trip records are used as the main source.
  • Duration, distance, fare, pickup area and dropoff area variables are validated.
  • Indicators and visuals are built to read urban dynamics from the data.

DELIVERY AND LEARNING

The delivery summarizes the service’s operational behavior through a visual and technical reading, connecting data cleaning, territorial segmentation and analytical interpretation.