This dataset provides a detailed view of student lifestyle patterns and their correlation with academic performance, represented by GPA. It contains 2,000 records of students' daily habits across study, extracurriculars, sleep, socializing, and physical activities. Each student's stress level is derived based on study and sleep hours, offering insights into how lifestyle factors may impact academic outcomes.
This data can support analyses in education, psychology, and health research fields, making it ideal for projects on lifestyle management, academic performance prediction, and well-being assessments.