Student Sleep, Screen Time and Mental Health Data for 3,000 Students

3,000 student records combine sleep patterns, screen time usage, mental health indicators, and academic performance in a single tidy dataset. The data likely contains measures of stress, anxiety, and GPA, offering a multi-faceted view of student well-being. It originates from Kaggle, but the author, organization, and specific collection date are unknown.

Use Cases

• Correlate sleep duration and quality with academic performance based on GPA data.
• Analyze the relationship between screen time usage and mental health indicators like stress and anxiety.
• Build predictive models for student well-being based on behavioral and psychological features.
• Identify clusters of students with similar sleep, screen time, and mental health profiles.

Strengths

• Contains data for 3,000 students, providing a substantial sample size.
• Integrates multiple related domains—sleep, screen time, mental health, and GPA—into one tidy dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle