About this Dataset

Thailand Grand Prix 2025: Hourly Weather Data

This dataset contains hourly weather data for Buriram, Thailand, during the 2025 Thailand Grand Prix (MotoGP). The data has been collected using Weather API and provides essential weather conditions that could impact the race. It is valuable for race analysis, weather pattern study, and performance impact research.

Use Cases

Race Strategy Analysis: Helps teams analyze weather trends and strategize tire choices.
Performance Impact Study: Determines how weather affects rider performance.
Machine Learning Models: Can be used to predict weather conditions or race outcomes.
Climate Study: Analyzing weather trends in Buriram during February-March.

Tables

Thailand Grand Prix Motogp 2025 Hourly Weather

@kaggle.chik0di_thailand_grand_prix_2025_hourly_weather_data.thailand_grand_prix_motogp_2025_hourly_weather

29.49 KB
72 rows
34 columns


CREATE TABLE thailand_grand_prix_motogp_2025_hourly_weather (
  "date" TIMESTAMP,
  "time" TIMESTAMP,
  "temp_c" DOUBLE,
  "temp_f" DOUBLE,
  "condition" VARCHAR,
  "wind_mph" DOUBLE,
  "wind_kph" DOUBLE,
  "wind_degree" BIGINT,
  "wind_direction" VARCHAR,
  "pressure_mb" DOUBLE,
  "pressure_in" DOUBLE,
  "precip_mm" DOUBLE,
  "precip_in" DOUBLE,
  "snow_cm" DOUBLE,
  "humidity" BIGINT,
  "cloud" BIGINT,
  "feelslike_c" DOUBLE,
  "feelslike_f" DOUBLE,
  "windchill_c" DOUBLE,
  "windchill_f" DOUBLE,
  "heatindex_c" DOUBLE,
  "heatindex_f" DOUBLE,
  "dewpoint_c" DOUBLE,
  "dewpoint_f" DOUBLE,
  "will_it_rain" BIGINT,
  "will_it_snow" BIGINT,
  "chance_of_rain" BIGINT,
  "chance_of_snow" BIGINT,
  "is_day" BIGINT,
  "gust_mph" DOUBLE,
  "gust_kph" DOUBLE,
  "uv" DOUBLE,
  "visibility_km" DOUBLE,
  "visibility_miles" DOUBLE
);