3 categories of academic scores—maths, reading, and writing—recorded for a collection of students. The dataset provides individual performance metrics to facilitate educational assessment and cross-subject proficiency analysis.
Use Cases
- Calculate the correlation coefficient between `maths` and `reading` scores to identify cross-disciplinary trends.
- Generate a total score feature by summing the `maths`, `reading`, and `writing` columns.
- Identify students requiring additional support by filtering for low scores in the `writing` column.
Strengths
- Includes numerical scores for the `maths` subject.
- Includes numerical scores for the `reading` subject.
- Includes numerical scores for the `writing` subject.