Back to Portfolio

Student Mental Health Survey

Data Cleaning Data Transformation Power BI

This dataset offers a detailed look into student demographics, well-being, and academic success. It includes key details like gender, and age, as well as academic factors such as degree level, major, academic year, and CGPA.

It also covers residential status, highlighting the impact of living on or off-campus, and personal experiences with discrimination, harassment, or bullying. These insights are crucial for understanding mental health challenges and academic outcomes.

Lifestyle factors like physical activity and sleep patterns are included, along with students' satisfaction with their studies and perceived academic pressure. This helps gauge overall happiness and engagement.

The dataset addresses major stressors like academic pressure, financial concerns, and social relationships, all of which affect mental health and academic performance. It also tracks mental health indicators such as depression, anxiety, and feelings of isolation, providing valuable data for identifying trends and areas for intervention.

Overall, this dataset is a rich resource for improving student support services, mental health resources, and creating a healthier, more inclusive campus environment.


֎ Dataset Information:


֎ Live Dashboard:



֎ Data Modeling:



֎ Research Findings: