Diet Analysis , Predict The Weight
Analyzing diet, exercise, and lifestyle effects on weight change
@kaggle.abdullah0a_comprehensive_weight_change_prediction
Analyzing diet, exercise, and lifestyle effects on weight change
@kaggle.abdullah0a_comprehensive_weight_change_prediction
This dataset comprises information from 100 participants, focusing on demographics, dietary habits, physical activity levels, and lifestyle factors to predict weight change over time. Key features include age, gender, current weight, daily caloric intake, macronutrient breakdown, sleep quality, and stress levels. The dataset aims to analyze how these variables interact and influence weight fluctuations, providing a valuable resource for researchers and practitioners in nutrition and health
CREATE TABLE weight_change_dataset (
"participant_id" BIGINT,
"age" BIGINT,
"gender" VARCHAR,
"current_weight_lbs" DOUBLE -- Current Weight (lbs),
"bmr_calories" DOUBLE -- BMR (Calories),
"daily_calories_consumed" DOUBLE,
"daily_caloric_surplus_deficit" DOUBLE,
"weight_change_lbs" DOUBLE -- Weight Change (lbs),
"duration_weeks" BIGINT -- Duration (weeks),
"physical_activity_level" VARCHAR,
"sleep_quality" VARCHAR,
"stress_level" BIGINT,
"final_weight_lbs" DOUBLE -- Final Weight (lbs)
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