Synthetic data analyzing the relationship between smartphone usage and academic performance among students in Pakistan. The dataset was created for Kaggle, though its author, size, and specific creation date are not provided. Its synthetic nature suggests it was generated for modeling or educational purposes rather than collected from real-world observations.
Use Cases
- Modeling the correlation between smartphone habits and exam scores based on the described variables.
- Conducting educational data mining to identify potential behavioral factors affecting student performance.
- Practicing statistical analysis on synthetic behavioral data to avoid privacy concerns with real student records.
Strengths
- Focuses on a specific and contemporary topic of student screen-time behavior.
- Synthetic nature may reduce privacy and ethical concerns associated with real student data.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Kaggle
- Collection Method
- Synthetically generated, as indicated in the description.
- Geography
- Pakistan