Data Analytics

F1 Data Dashboard

Role: Builder
Company: Fans of Formula 1
Timeline: 2025 - 2025
DashboardData ScienceData Analysis

Interactive dashboard exploring "who's the G.O.A.T." in Formula 1. Instead of declaring a winner, I built a methodology-driven ranking system with adjustable weights so you can see how different definitions of greatness produce different answers.

Explore the actual dashboard here

Team & Collaboration

Born out of conversations with buddies about who the greatest driver is. I brainstormed criteria and built the full pipeline and site with my collaborative AI pals Claude & Cursor.

Challenge

Every "greatest driver" debate relies on a single metric: championships, wins, or pole positions. But that's reductive. How do you fairly compare drivers across different eras with different opportunities? How do you acknowledge that greatness is multidimensional?

Approach

Created the Driver Greatness Index (DGI)—a weighted framework measuring: Teammate Dominance (25%), Podium Percentage (20%), Wins from Non-Pole (20%), Pole Positions (15%), Championship Wins (10%), and Longevity & Versatility (10%). Built a second interface letting users adjust weights and explore how rankings shift based on their priorities.

A colorful dashboard with four charts showing the results of the 2025 F1 season

2025 dashboard

Driver Greatness Index Methodology

Constructor Standings pie chart

Metric Breakdown

The G.O.A.T.

 a radar chart and some statistics around this drivers greatness index

The driver greatness index dashboard

Results & Impact

Demonstrates methodology-first thinking: transparent about what's measured and why, debatable by design, and explorable rather than prescriptive. Shows the principle I bring to AI product design—tools that invite collaboration instead of declaring answers.