Student Lifestyle Patterns and Academic Performance, 2000 Records

2000 student records detail daily habits across study, extracurriculars, sleep, socializing, and physical activities. The dataset correlates these lifestyle factors with academic performance, represented by GPA, and includes derived stress levels. It was authored by Sumit Kumar and is hosted on Kaggle under an Apache 2.0 license.

Use Cases

• Predict academic performance (GPA) based on lifestyle habits mentioned in the description
• Analyze correlations between sleep hours, study hours, and derived stress levels
• Model the impact of physical activity and socializing on student outcomes
• Assess student well-being by combining behavioral and academic metrics

Strengths

• Contains 2000 records, providing a substantial sample for analysis
• Integrates multiple lifestyle domains: study, sleep, extracurriculars, socializing, and physical activity
• Includes a derived metric (stress level) calculated from study and sleep hours

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified
• Data may reflect geographic or temporal bias inherent to its collection source

Provenance

Source

Kaggle, uploaded by author Sumit Kumar.

Collection Method

Likely gathered via survey or self-reporting from students.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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