College Student Daily Stress Dataset is a synthetic dataset for analyzing daily activities and stress levels, including weekly summaries. The dataset is hosted on Kaggle, but its author, organization, and specific size details are unknown.
Use Cases
- Analyze correlations between daily activities and stress levels based on the described features
- Model weekly stress patterns based on weekly summary data mentioned in the description
- Generate synthetic data for stress intervention research based on the synthetic nature of the dataset
Strengths
- Dataset focuses on a specific and relevant population: college students
- Description indicates it contains data on both daily activities and weekly summaries, suggesting multi-temporal granularity
Limitations
- Row count, column definitions, and file formats are unknown, which limits suitability assessment
- Description metadata is limited; actual data quality requires manual inspection after download
- Data is synthetic, which may limit its applicability to real-world scenarios
Provenance
- Collection Method
- Synthetic generation