Depression Student Dataset

This dataset examines the connection between mental health and various demographic, academic, and lifestyle factors. It includes attributes such as gender, age, academic pressure, study satisfaction, sleep duration, dietary habits, study hours, financial stress, family history of mental illness, depression, and suicidal thoughts. The dataset enables an exploration of how factors like sleep quality, diet, and academic workload impact mental well-being, offering potential applications in identifying patterns of mental health risks and promoting preventive strategies for improved mental health outcomes among different demographic groups.