Dark Mode
Formula 1 Grand Prix Performance Metrics
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This is a meticulously curated collection of data providing an in-depth look into the world of Formula 1 racing. The dataset encompasses a wide array of information critical for understanding the sport, including details on circuits, constructors, drivers, race results, lap times, and pit stops. It offers detailed records essential for analysing the performance and standings of teams and competitors across various seasons, helping users uncover patterns, trends, and valuable insights in the high-speed world of F1.
Columns
The dataset is structured across over a dozen files, an example being the circuits file which details the racing tracks. Key columns within the circuits data include:
- circuitId: A unique identifier for the circuit.
- circuitRef: A reference code for the circuit.
- name: The full name of the circuit (e.g., Albert Park Grand Prix Circuit).
- location: The specific geographical location of the circuit (e.g., California).
- country: The country where the circuit is situated (e.g., USA, France).
- lat: The latitude coordinate.
- lng: The longitude coordinate.
- alt: The altitude of the circuit.
- url: A link, such as a Wikipedia article, for further reference.
Distribution
The entire data product comprises over a dozen individual files (e.g.,
circuits.csv, drivers.csv, results.csv, lap_times.csv), usually provided in CSV format. The circuits.csv file, for example, contains 9 columns and 77 valid records, with a size of 10.1 kB. The status and results data also includes details on sprint races and event status codes. Specific row or record counts for all files are not specified, but the overall collection is extensive.Usage
This data resource is ideal for:
- Conducting detailed analyses of driver and constructor performance.
- Building predictive models related to race outcomes and standings.
- Identifying underlying trends and patterns in Formula 1 racing dynamics.
- Deepening understanding of race day events, including pit stop strategies and qualifying results.
Coverage
The dataset has a global geographic scope, featuring circuits located across numerous countries, including the USA and France. The information covers records across multiple racing seasons. The scope focuses entirely on Formula 1 elements, encompassing detailed statistics related to circuits, drivers, teams (constructors), and specific race metrics.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists: For building and testing advanced predictive models.
- Sports Analysts: For dissecting performance metrics and standings across seasons.
- Formula 1 Enthusiasts: For gaining a deeper, data-driven understanding of the sport’s history and dynamics.
Dataset Name Suggestions
- F1 Historical Race Statistics
- Formula 1 Grand Prix Performance Metrics
- Global Auto Racing Records
Attributes
Original Data Source: Formula 1 Grand Prix Performance Metrics
QUALITYLoading...