Attendance records for 54 government schools under the Directorate of Education, New Delhi. The dataset also includes school characteristics, location, and estimates of ambient PM2.5 matter in spatial buffers around each school. It was authored by Suvrorup Mukherjee and hosted on Harvard Dataverse, with a last update recorded in June 2026.
Use Cases
- Correlating student attendance patterns with local air pollution levels based on PM2.5 estimates.
- Analyzing school-level characteristics and their geographic distribution across New Delhi.
- Modeling potential environmental impacts on public education institutions using geospatial buffers.
Strengths
- Covers 54 distinct government schools, providing a specific scale.
- Integrates educational records with environmental PM2.5 estimates, linking two data domains.
- Includes geospatial location data for spatial analysis.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse, authored by Suvrorup Mukherjee.
- Collection Method
- Likely collected from the Directorate of Education, New Delhi, and combined with pollution estimation models.
- Freshness
- Last updated 2026-06-09 16:10:54; freshness should be verified.
- Geography
- New Delhi, India, focusing on 54 government schools.