A dataset on student depression, sourced from Kaggle. The specific number of records, collection timeframe, and originating organization are not provided in the metadata. The dataset likely contains survey or assessment data related to mental health indicators among students.
Use Cases
- Identify correlations between demographic factors and depression scores (inferred from domain, verify after download)
- Train a model to predict depression risk from survey responses (inferred from domain, verify after download)
- Analyze trends in self-reported mental health metrics (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with a large community for data sharing and discussion.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, time range, and license are unknown, which limits suitability assessment.
Provenance
- Source
- Kaggle
- Collection Method
- Likely collected via survey or assessment, but the specific methodology is not detailed.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified.
- Geography
- null