Firm-Teacher Classification Data for Education Research

Firm-Teacher_Clave-Direction_Classification dataset originates from the UCI Machine Learning Repository. It contains administrative records related to teacher classification within schools. The dataset is categorized for education research.

Use Cases

• Predict teacher classification codes based on administrative features like 'clave' and 'direction'.
• Analyze relationships between firm identifiers and teacher assignment directions.
• Cluster schools or administrative units using teacher classification labels.
• Validate administrative record consistency across different classification categories.

Strengths

• Data is structured as tabular records suitable for machine learning.
• Platform tags indicate relevance for education research and administrative analysis.

Limitations

• No column names, sample data, or row count are provided for assessing size or structure.
• The absence of a time range or geography limits temporal and spatial analysis.

Provenance

Source

UCI Machine Learning Repository