Data visualization
My Uber Rides
A personal data project that connected Uber ride history to Google Sheets and Tableau for daily-updated visual analysis.
Published
January 27, 2018
Technologies
Uber Riders API · Google Sheets · Tableau
Why the project existed
This project started as something built for fun, curiosity, and self-learning. It was a personal data project, and also a compact example of lightweight analytics engineering.
The aim was simple: collect ride data automatically, enrich it, and look for patterns that would be hard to see from the raw trip history alone.
How the pipeline worked
The workflow was:
- An Uber account was connected to Google Sheets through the Uber Riders API.
- Completed rides were added to the sheet automatically.
- Additional attributes and dimensions were created with spreadsheet formulas and functions.
- Tableau was used to slice the data from different perspectives and contexts.
That workflow sits somewhere between personal logging and a miniature BI stack. The tools are light, but the pattern is familiar: automate collection, enrich the data, then make it explorable.
What the dashboard showed
The dashboard sliced the ride data by recent activity, trip type, timing, price, and other dimensions that were easier to inspect visually than in the raw trip log.
The point was to explore the ride history from several angles and surface trends, relationships, and patterns that would otherwise stay buried in the data.