Gym Members Exercise Dataset

Analyzing Fitness Patterns and Performance Across Diverse Gym Experience Levels

@kaggle.valakhorasani_gym_members_exercise_dataset

Table List

1 table(32.05 KB)

Gym Members Exercise Tracking

@kaggle.valakhorasani_gym_members_exercise_dataset.gym_members_exercise_tracking

32.05 KB
973 rows
15 columns

age Age	gender Gender	weight_kg Weight (kg)	height_m Height (m)	max_bpm Max BPM	avg_bpm Avg BPM	resting_bpm Resting BPM	session_duration_hours Session Duration (hours)	calories_burned Calories Burned	workout_type Workout Type	fat_percentage Fat Percentage	water_intake_liters Water Intake (liters)	workout_frequency_days_week Workout Frequency (days/week)	experience_level Experience Level	bmi BMI
56	Male	88.3	1.71	180	157	60	1.69	1313	Yoga	12.6	3.5	4	3	30.2
46	Female	74.9	1.53	179	151	66	1.3	883	HIIT	33.9	2.1	4	2	32
32	Female	68.1	1.66	167	122	54	1.11	677	Cardio	33.4	2.3	4	2	24.71
25	Male	53.2	1.7	190	164	56	0.59	532	Strength	28.8	2.1	3	1	18.41
38	Male	46.1	1.79	188	158	68	0.64	556	Strength	29.2	2.8	3	1	14.39
56	Female	58	1.68	168	156	74	1.59	1116	HIIT	15.5	2.7	5	3	20.55
36	Male	70.3	1.72	174	169	73	1.49	1385	Cardio	21.3	2.3	3	2	23.76
40	Female	69.7	1.51	189	141	64	1.27	895	Cardio	30.6	1.9	3	2	30.57
28	Male	121.7	1.94	185	127	52	1.03	719	Strength	28.9	2.6	4	2	32.34
28	Male	101.8	1.84	169	136	64	1.08	808	Cardio	29.7	2.7	3	1	30.07


CREATE TABLE gym_members_exercise_tracking (
  "age" BIGINT,
  "gender" VARCHAR,
  "weight_kg" DOUBLE,
  "height_m" DOUBLE,
  "max_bpm" BIGINT,
  "avg_bpm" BIGINT,
  "resting_bpm" BIGINT,
  "session_duration_hours" DOUBLE,
  "calories_burned" DOUBLE,
  "workout_type" VARCHAR,
  "fat_percentage" DOUBLE,
  "water_intake_liters" DOUBLE,
  "workout_frequency_days_week" BIGINT,
  "experience_level" BIGINT,
  "bmi" DOUBLE
);