International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

Formula One Circuits Report in Tableau

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Published 23 June 2026
Updated 23 June 2026

Formula One Circuits Report in Tableau

 

 

Autor :

1.   ABDUL RAHMAN KHAN, UG Scholar Department of AI&DS, Methodist College of Engineering and Technology, Hyderabad, India

2.    MOHD SAQLAIN UDDIN, UG Scholar Department of AI&DS, Methodist College of Engineering and Technology, Hyderabad, India

 

 

Guided by:

Dr.Diana Moses, Professor, Department of CSE, Methodist College of Engineering and Technology, Hyderabad, India

 

 

Abstract

The present analysis examines a comprehensive Formula 1 circuits dataset containing information on 77 racing circuits located across numerous countries worldwide. The dataset establishes a structured framework for understanding the geographical distribution, elevation characteristics, and spatial diversity of Formula 1 venues. Each record captures essential information including circuit identifiers, official circuit names, host locations, countries, geographic coordinates, altitude, and reference URLs, enabling an in-depth exploration of the global Formula 1 racing infrastructure.

The dataset highlights the international nature of Formula 1 by representing circuits from multiple continents, demonstrating how the sport has expanded beyond its traditional European roots into Asia, North America, South America, the Middle East, Africa, and Oceania. Geographic attributes such as latitude, longitude, and elevation provide valuable insights into environmental and climatic conditions that influence race strategy, vehicle performance, and circuit design.

By integrating location-based information with circuit metadata, the dataset offers a reliable foundation for geographical visualization, spatial analytics, and motorsport research. The findings help identify regional patterns in Formula 1 circuit distribution while supporting further analysis of race locations, historical venues, and global motorsport expansion. Ultimately, this study provides an empirical framework for understanding the worldwide presence of Formula 1 racing and the geographical characteristics that define its iconic circuits.

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