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This project explores how students’ daily habits
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## 🎯 Research Question
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**How do students’ daily habits (study hours, sleep, social media use, and lifestyle factors) affect their exam performance?**
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#
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2️⃣ Does sleeping longer lead to higher grades?
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3️⃣ Does more time on social media reduce exam results?
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4️⃣ Does better internet quality correlate with better exam performance?
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5️⃣ Do students with part-time jobs perform differently compared to those without jobs?
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6️⃣ Does gender influence the relationship between study habits and exam performance?
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7️⃣ Does combining good sleep and good study habits lead to stronger results?
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8️⃣ Which factor (study time, sleep, social media, or internet quality) is the strongest predictor of exam performance?
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##
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---
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##
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📈 Students who studied more achieved higher scores, showing a **strong positive correlation** between study time and exam performance.
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##
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📉 Clear **negative trend** — higher social media use correlates with lower exam scores.
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##
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🕸️ Internet quality shows **no significant impact** — students with “Good,” “Average,” or “Poor” connections scored similarly.
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Students who study more hours show a **strong positive correlation** with exam performance.
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---
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## **Q2: Does sleeping longer lead to higher grades?**
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Sleep shows a **weak but positive** relationship with exam score.
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## **Q3: Does more time on social media reduce exam results?**
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Higher social-media usage is linked to **consistently lower scores**.
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## **Q4: Does better internet quality correlate with better exam performance?**
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Internet quality has a **minor effect**, not a strong predictor.
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## **Q5: Do students with part-time jobs perform differently?**
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Students with part-time jobs perform **slightly lower**, but the difference is small.
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## **Q6: Does gender influence the relationship between study habits and performance?**
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Correlations between habits and performance are **almost identical** across genders.
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---
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## **Q7: Does combining good sleep and good study habits lead to stronger results?**
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Students who sleep well **and** study well achieve the **highest scores** overall.
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## **Q8: Which factor is the strongest predictor of exam score?**
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**Study hours per day** is the strongest predictor
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followed by mental health → sleep → exercise → internet quality → social media (negative).
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# 🔥 Additional Sub-Questions (New)
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These questions analyze additional categories in the dataset:
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## **Q9: Does better mental health predict higher exam performance?**
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Clear **positive relationship** — better mental health = higher academic success.
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## **Q10: Does diet quality affect exam performance?**
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Students with **Fair/Good diets** perform only slightly better than those with Poor.
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## **Q11: Do students who exercise more achieve higher exam scores?**
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Exercise frequency has a **small but consistent positive effect**.
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## **Q12: Is higher class attendance linked to better exam results?**
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Attendance shows only a **very small positive effect** on scores.
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## **Q13: Does watching more Netflix affect exam performance?**
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Netflix hours show a **clear negative correlation** with exam score.
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# 🔥 Full Correlation Table (New)
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Top correlations with exam score:
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- **Study hours** (+0.83)
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- **Mental health rating** (+0.32)
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- **Exercise frequency** (+0.16)
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- **Netflix hours** (–0.17)
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- **Social media hours** (–0.17)
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# 🔥 Correlation Heatmap (All Variables)
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Shows full Pearson correlation between all numeric variables.
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# 🧠 Key Insights
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### 📌 1. Study hours are by far the **strongest driver of exam score**.
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### 📌 2. Mental health is the **second strongest** and highly important.
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### 📌 3. Social media and Netflix negatively affect exam performance.
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### 📌 4. Exercise helps slightly; diet has almost no effect.
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### 📌 5. Attendance matters less than expected.
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### 📌 6. Good sleep + good study habits = **top performance group**.
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### 📌 7. Gender differences are minimal — habits matter more than demographics.
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# 📂 Data Dictionary
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| Column Name | Description |
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|------------------------|-------------|
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| student_id | Unique student identifier |
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| age | Student age |
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| gender | Male / Female / Other |
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| study_hours_per_day | Daily study time (numeric) |
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| social_media_hours | Daily SM usage hours |
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| netflix_hours | Daily Netflix usage hours |
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| part_time | Works part-time? Yes/No |
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| attendance_percentage | Class attendance (0–100) |
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| sleep_hours | Sleep hours per night |
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| diet_quality | Poor / Fair / Good |
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| exercise_frequency | Exercise times per week |
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| parental_education | Parent’s highest education |
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| internet_quality | Home internet quality |
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| mental_health_rating | Self-rated mental health (1–10) |
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| extracurricular | Participates in extracurricular activities? |
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| exam_score | Final grade (0–100) |
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# 🧬 Code Snippet – Data Dictionary Extraction
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```python
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data_dictionary = {
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"student_id": "Unique student identifier",
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"age": "Student age",
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"gender": "Male / Female / Other",
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"study_hours_per_day": "Daily study time",
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"social_media_hours": "Daily time on social networks",
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"netflix_hours": "Daily Netflix watching hours",
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"part_time": "Whether the student works part-time",
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"attendance_percentage": "Percentage of attendance (0-100)",
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"sleep_hours": "Sleep hours per night",
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"diet_quality": "Self-rated diet quality (Poor/Fair/Good)",
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"exercise_frequency": "Exercise sessions per week",
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"parental_education": "Parent highest education level",
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"internet_quality": "Home internet quality",
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"mental_health_rating": "Self-rated mental health (1-10)",
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"extracurricular": "Participates in extracurricular activities? (Yes/No)",
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"exam_score": "Final exam score (0-100)"
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}
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data_dictionary
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