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F1 Japanese Grand Prix 2025 Race Data
Data Science and Analytics
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About
Formula 1 Japanese Grand Prix 2025 race data provides insights into one of the key events in the Formula One World Championship calendar. This dataset, generated using the FastF1 API, focuses on the 2025 season's Japanese Grand Prix race session. It captures critical in-race strategies, particularly those related to pit stops, by identifying laps that include pit stop times using the 'PitOutTime' field. The data's purpose is to enable the assessment of pit stop efficiency and its impact on overall race performance. It encompasses information on drivers, constructors, qualifying results, lap times, and detailed pit stop data for the event.
Columns
- Driver ID: An identifier for each driver, containing 20 unique values, all valid.
- Team: The name of the racing team, with 10 unique values, all valid.
- Full Name: The complete name of the driver, featuring 20 unique values, all valid.
- Position: The final race position of the driver. Data indicates positions from 1 to 20, with a mean of 10.5.
- Points: The points accumulated by the driver. Values range from 0 to 25, with a mean of 5.05.
- Status: Describes the driver's race outcome, predominantly "Finished" (95%) or "Lapped" (5%).
- Time: The total race time recorded for each driver, containing 20 unique time values.
Distribution
The dataset is provided in a tabular format, specifically as a CSV file named
constructor_results_2025.csv. It has a size of 1.55 kB and consists of 7 columns. Each column, based on its validation, appears to contain 20 records. Specific total row counts for the entire dataset are not explicitly stated, but the column analysis suggests this structure.Usage
This dataset is ideal for unlocking strategic insights and race trends from the Japanese Grand Prix. It can fuel various data analysis projects, visual storytelling initiatives, or predictive modelling endeavours within motorsport analytics. Users can assess the efficiency of pit stop timings, understand their impact on overall race performance, and study driver and constructor performance metrics.
Coverage
The data pertains to the Formula 1 Japanese Grand Prix, a prestigious motor racing event. Historically, the Grand Prix was first held in 1963 and has been held 50 times, featuring a circuit length of 5.807 km (3.608 miles). The specific time period covered by this dataset is 4 - 6 April 2025, focusing on the 2025 season. It includes information on participating drivers and constructors. Notable historical statistics include McLaren having the most constructor wins (9) and Michael Schumacher holding the record for most driver wins (6).
License
CC0: Public Domain
Who Can Use It
The dataset is suitable for motorsport teams and analysts interested in detailed race strategy and performance evaluation. It is also valuable for data scientists, sports statisticians, and enthusiasts looking to perform data analysis, develop visualisations, or build predictive models related to Formula 1 race outcomes and pit stop dynamics.
Dataset Name Suggestions
- F1 Japanese Grand Prix 2025 Race Data
- Formula 1 Japan 2025 Pit Stop Analytics
- 2025 Japanese Grand Prix Driver & Constructor Data
- F1 Suzuka 2025 Performance Metrics
Attributes
Original Data Source:F1 Japanese Grand Prix 2025 Race Data
QUALITY