Project 12 · Geospatial analysis

Geospatial Analysis of Taxi Trips

✅ publisheddata: 2026

Analysis of Chicago taxi trips focused on geographic location, movements between points, dominant zones and routes.

Python
Pandas
Plotly
Geospatial
Taxi
Data analysis

CONTEXT AND OBJECTIVE

Understand how reported taxi trips are territorially distributed and which zones concentrate the most urban movement.

DATA AND DIAGNOSIS

  • Community areas and coordinates are used as territorial analysis axes.
  • Variables and visuals are built to observe pickup zones, dropoff zones and main flows.
  • A geospatial reading is used to complement the operational view of the Chicago Taxi Trips project.

DELIVERY AND LEARNING

The delivery turns trips into a spatial reading, making it possible to interpret demand, concentration and mobility from a territorial perspective.