Student Performance in Portuguese: Grades and Demographics from Two Secondary Schools

Paulo Cortez from the University of Minho obtained this dataset from the UCI Repository. It contains student achievement data for Portuguese language classes from two secondary schools in Portugal, with attributes including grades, demographic, social, and school-related features. The data was collected using school reports and questionnaires.

Use Cases

• Predicting final year grades (G3) based on demographic and behavioral features mentioned in the description.
• Analyzing the correlation between parental education levels (Medu, Fedu) and student academic performance.
• Modeling the impact of school support (schoolsup) and family support (famsup) on student outcomes.
• Investigating the relationship between study time (studytime), past failures (failures), and final grades.

Strengths

• Includes 33 distinct attributes covering grades, demographics, social, and school-related features.
• Data provenance is clearly stated, originating from the UCI Repository and collected via school reports and questionnaires.
• Target variable relationships are explicitly documented, noting the strong correlation between period grades G1, G2, and the final grade G3.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is specific to Portuguese language performance in two Portuguese schools, which may limit generalizability.
• Last update date is unknown; freshness unverified.

Provenance

Source

Paulo Cortez, University of Minho, via UCI Machine Learning Repository.

Collection Method

Collected using school reports and questionnaires.

Geography

Two secondary schools in Portugal.