Synthetic data generated for analyzing the relationship between student study habits, attendance, and exam performance. The dataset is hosted on Kaggle and is tagged for data storytelling and analytics. Its specific size, columns, and creation details are not provided in the metadata.
Use Cases
- Predicting exam scores based on study habits and attendance patterns mentioned in the description
- Identifying correlations between attendance rates and academic performance
- Modeling the impact of different study habit profiles on student outcomes
Strengths
- Dataset is explicitly designed for analysis of key educational factors: study habits, attendance, and exams.
- Platform tags indicate it is intended for data storytelling and analytics workflows.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Kaggle
- Collection Method
- Synthetically generated.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified.
- Geography
- null