Law School Admissions Survey from 1991, Binarized for Fairness Analysis

A 1991 survey of students attending law school in the U.S., sourced from the R package fairml. The response variable indicates whether undergraduate GPA is greater than 3.0, and race data has been binarized into white and non-white categories.

Use Cases

• Binary classification of student academic performance based on undergraduate GPA threshold
• Fairness analysis of law school admissions based on binarized race categories
• Investigating correlations between demographic factors and academic success in legal education

Strengths

• Data is sourced from a known R package (fairml) focused on algorithmic fairness
• Variables have been explicitly binarized for specific analytical tasks (UGPA > 3, race categories)

Limitations

• Row count and column details are unknown, limiting suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download
• Last update date is unknown; freshness unverified

Provenance

Source

R-package fairml

Collection Method

Survey among students attending law school in the U.S.

Time Range

1991

Geography

United States