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Lifestyle Data

Date

3 days ago

Publish URL

www.kaggle.com

License

Apache 2.0

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Lifestyle Data is a comprehensive dataset of health and fitness behaviors designed to provide a high-quality data foundation for personalized health recommendation systems, exercise analysis, and lifestyle prediction modeling.

This dataset integrates information on individuals across multiple dimensions, including daily diet, exercise, physiological indicators, and body composition. It is presented in a structured table (CSV) format with complete fields, covering multi-level variables such as individual characteristics, exercise performance, dietary structure, and fitness behavior.

Main fields:

  • Age: Participant's age (in years)
  • Gender: Biological sex (male/female)
  • Weight (kg): Individual body weight (kilograms)
  • Height (m): Individual height (meters)
  • Max_BPM / Avg_BPM / Resting_BPM (Maximum/Average/Resting Heart Rate): Heart rate indicators before and after exercise
  • Session_Duration (Exercise Duration): The duration of each workout session (in hours).
  • Calories Burned: Total calories burned in a single workout session.
  • Workout_Type: Categories include strength training, high-intensity interval training, and cardiovascular training.
  • Fat Percentage (Body Fat Percentage): The percentage of body fat.
  • Water Intake: Average daily water intake (liters)
  • Workout_Frequency: Number of exercise days per week
  • Experience Level: 1 = Beginner, 2 = Intermediate, 3 = Advanced
  • BMI (Body Mass Index): A body fat percentage calculated based on height and weight.
  • Daily meal frequency
  • Carbs / Proteins / Fats / Calories: Daily Nutritional Intake Data
  • meal_name / meal_type / diet_type (meal name / meal type / diet type): such as breakfast, main meal, snack, vegetarian, balanced diet, etc.
  • sugar_g / sodium_mg / cholesterol_mg / serving_size_g (sugar/sodium/cholesterol/serving size): Nutritional information for a single meal
  • cooking_method / prep_time_min / cook_time_min (cooking method / prep time / cooking time)
  • rating / is_healthy (rating/whether healthy): a measure of health level or user satisfaction.
  • Name of Exercise / Sets / Reps / Benefit
  • Burns Calories (per 30 min)
  • Target Muscle Group / Equipment Needed / Difficulty Level
  • Body Part / Muscle Type / Workout

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