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F1 2025 China Performance Data
Data Science and Analytics
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About
The intricacies of the Formula 1 Chinese Grand Prix 2025, a key event in the Formula One World Championship. The event, historically held annually from 2004-2019 before a hiatus, resumed in 2024 and is contracted until 2030. This dataset was created using the FastF1 API, focusing on the race session of the 2025 Chinese Grand Prix. It specifically highlights in-race strategies related to pit stops, which significantly influence race outcomes. Data is derived by filtering lap information to pinpoint pit stop timings using the 'PitOutTime' field. The dataset provides valuable insights for understanding the efficiency of pit stop strategies and their overall impact on race performance. It encompasses details on drivers, constructors, qualifying sessions, circuits, lap times, and pit stop data for the Chinese Grand Prix 2025.
Columns
- RoundNumber: Identifies the round number within the F1 season.
- Country: Specifies the country hosting the Grand Prix.
- Location: Indicates the city where the Grand Prix takes place.
- OfficialEventName: Provides the full official name of the racing event.
- EventDate: The date on which the Grand Prix event occurs.
- EventName: A concise name for the event.
- EventFormat: Describes the type of race format, such as conventional or sprint qualifying.
- Session1: The name of the first practice session (e.g., Practice 1).
- Session1Date: The local date and time of the first session.
- Session1DateUtc: The UTC date and time of the first session.
- Session2: The name of the second session (e.g., Practice 2, Sprint Qualifying).
- Session2Date: The local date and time of the second session.
- Session2DateUtc: The UTC date and time of the second session.
- Session3: The name of the third session (e.g., Practice 3, Sprint).
- Session3Date: The local date and time of the third session.
- Session3DateUtc: The UTC date and time of the third session.
- Session4: The name of the fourth session (e.g., Qualifying).
- Session4Date: The local date and time of the fourth session.
- Session4DateUtc: The UTC date and time of the fourth session.
- Session5: The name of the fifth session (e.g., Race).
- Session5Date: The local date and time of the fifth session.
- Session5DateUtc: The UTC date and time of the fifth session.
Distribution
The dataset is presented in a tabular format, typically a CSV file, with 22 distinct columns. While specific row counts are not available, data samples suggest there are multiple records, with common column entries having 25 valid entries. The dataset size is approximately 10.03 kB.
Usage
This dataset is ideally suited for exploring race strategies, driver performance, and historical trends specific to the Chinese Grand Prix. Users can analyse pit stops, lap times, and standings to identify patterns that influence race outcomes. It also serves as a foundation for building predictive models for future races and assessing the efficiency of pit stop timings and their impact on overall team performance.
Coverage
The dataset's geographical focus is the Chinese Grand Prix, held in China. The core time range for the Chinese Grand Prix 2025 event is 21 - 23 March 2025. However, the included circuit and event details, as seen in the column descriptions, encompass a broader range of the 2025 Formula 1 season, with event dates spanning from late February to early December 2025. The data is not focused on demographic scopes but rather on event and performance statistics within motor racing.
License
CC0: Public Domain
Who Can Use It
Formula 1 enthusiasts, data analysts, and data scientists are the intended users. They can leverage this data to deepen their understanding of race dynamics, evaluate driver and constructor performance, and conduct strategic analyses of Formula 1 events. Teams and analysts can use it to refine their pit stop strategies and enhance in-race decision-making.
Dataset Name Suggestions
- F1 Chinese Grand Prix 2025 Data
- Formula 1 Shanghai 2025 Race Analysis
- Chinese GP 2025 Pit Stop Strategy
- F1 2025 China Performance Data
Attributes
Original Data Source: F1 2025 China Performance Data
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