The table "Train.csv" contains data on various health and lifestyle factors of 3000 individuals, including gender, height, weight, blood pressure, cholesterol level, BMI, and more. This data can be used to analyze correlations between different variables and identify patterns related to chronic diseases, medication use, family history, cognitive function, mental health, and overall well-being. (AI-generated)
Gender, Height (cm), Weight (kg), Blood Pressure (s/d), Cholesterol Level (mg/dL), BMI, Blood Glucose Level (mg/dL), Bone Density (g/cm²), Vision Sharpness, Hearing Ability (dB), Physical Activity Level, Smoking Status, Alcohol Consumption, Diet, Chronic Diseases, Medication Use, Family History, Cognitive Function, Mental Health Status, Sleep Patterns, ...