Gym Members Exercise Dataset

Key Features:

• Age: Age of gym members.
• Gender: Gender information (Male/Female).
• Weight (kg): Weight of the member in kilograms.
• Height (m): Height of the member in meters.
• Max_BPM: Maximum heart rate achieved during workouts (beats per minute).
• Avg_BPM: Average heart rate during workout sessions.
• Resting_BPM: Resting heart rate before exercise.
• Session Duration (hours): Duration of each workout session in hours.
• Calories Burned: Total calories burned per session.
• Workout Type: Type of exercise performed (e.g., Cardio, Strength, Yoga, HIIT).
• Fat Percentage: Body fat percentage.
• Water Intake (liters): Daily water intake during workouts.
• Workout Frequency (days/week): Number of workout sessions per week.
• Experience Level: Experience level, ranging from beginner (1) to expert (3).
• BMI (Body Mass Index): BMI calculated from weight and height.

Ideal For:

• Data Analysis: Gain insights into the relationship between workout intensity, demographic factors, and health metrics.
• AI & Machine Learning: Use this dataset to build predictive models for fitness tracking, health analytics, and athlete performance.
• Fitness Research: Study the influence of body composition and workout habits on overall health and wellness.

With a comprehensive range of data points, this Gym Members Dataset enables you to analyze key health indicators like heart rate, calories burned, and body fat percentage. It’s an excellent resource for building predictive models, tracking fitness progression, and exploring the dynamics of fitness routines across various demographics.