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Racing meets data! Analyzing Formula 1 history with SQL queries and Power BI dashboards — drivers, circuits, and wild statistics.

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🏎️ Formula 1 Analytics — SQL + Power BI Project

Explore over 70 years of Formula 1 history through data!
This project combines SQL-based data exploration with Power BI dashboarding to uncover driver trends, constructor dominance, DNF risks, and circuit-specific insights — all powered by the official F1 dataset.


🎯 Objectives

  • Extract insights on driver performance, constructor reliability, and circuit difficulty
  • Perform complex aggregations using SQL (MySQL Workbench)
  • Create multi-page Power BI dashboards for storytelling
  • Make data actionable for motorsport fans and analysts

🧰 Tools Used

Tool Purpose
MySQL Workbench 8.0 Writing SQL queries, data exploration
Power BI Desktop Visualizing insights via dashboards
GitHub Storing queries, outputs, dashboards
Kaggle F1 Dataset Primary data source (1950–2020)

📊 Power BI Dashboard Pages Driver Career Overview — Wins, Podiums, Total Points, Seasons Constructor Performance mixed with circuit analysis

📂 Dataset Overview Source: Kaggle Formula 1 World Championship

Key tables used:

drivers, constructors, results, races, circuits

Custom views created: vw_driver_results, vw_constructor_points, etc.

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Racing meets data! Analyzing Formula 1 history with SQL queries and Power BI dashboards — drivers, circuits, and wild statistics.

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