Goals
- Identify which student habits have the strongest relationship with exam performance
- Compare the impact of study habits, health factors, screen time, and background variables
- Determine whether demographic and environmental factors influence academic outcomes
- Build a complete habit-to-performance profile using 22 visualizations across 6 sections
Process
- Filled 91 missing values in
parental_education_levelwith the mode (High School)
- Engineered two new features —
total_screen_time(social media + Netflix) andexam_tier(Poor / Average / Good / Excellent)
- Analyzed exam scores across all demographic groups — gender, parental education, part time job status
- Progressively explored each habit category — study, attendance, screen time, health, environment — before synthesizing in a final correlation section
Insights
- Study hours is the dominant predictor with a correlation of 0.83 — nothing else comes close in this dataset
- Mental health is the second strongest factor at 0.32 — psychological wellbeing directly translates to academic performance
- Attendance has a surprisingly weak correlation of just 0.09 — showing up to class without studying is not enough
- Excellent students spend 1.2 fewer hours on screens daily than poor performing students — a consistent pattern across all tiers
- Gender, parental education, internet quality, diet, and extracurricular participation have virtually zero impact on exam scores
- The academic success formula this dataset points to is simple — study more and take care of your mental health
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