README.md

#  Student Habits vs Academic Performance  
Dataset & Analysis by Lipaz Levy

This project explores how students’ daily habits — including study hours, sleep, social media use, lifestyle factors, mental health, exercise, diet quality, and more — influence their academic performance.

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We used a dataset of **1001 students**, each with lifestyle habits, well-being indicators, and exam scores.  
The goal was to answer:

 **How do students’ daily habits affect their exam performance?**

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#  Data Cleaning & Preprocessing

Before performing analysis, several preprocessing steps were required to clean and prepare the dataset.

##  1. Checked for missing values  
- No missing values were found.

##  2. Fixed formatting issues  
- Trimmed spaces from categorical values (“ Yes” → “Yes”).

## 3. Encoded categorical variables for correlations & regressions  
Added encoded columns:

- **diet_quality_encoded**  
  - Poor → 0  
  - Fair → 1  
  - Good → 2  

- **internet_quality_encoded**  
  - Poor → 0  
  - Average → 1  
  - Good → 2  

##  4. Converted columns to numeric  
Ensured all measurement columns were floats:
- study_hours_per_day  
- sleep_hours  
- social_media_hours  
- netflix_hours  
- exercise_frequency  
- attendance_percentage  
- exam_score  

##  5. Dataset shape  
- **Original:** 1001 rows × 16 columns  
- **After encoding:** 1001 rows × 18 columns  

##  6. Outlier check  
- All values were within valid human ranges.  
- No rows were removed.


#  **Main Research Question**
**How do students’ daily habits affect their exam performance?**  
(study hours, sleep, social media, lifestyle factors)

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# **Sub-Questions Analyzed**

### **Q1: Does studying more hours improve exam performance?**
![Study Hours Bar](study_vs_exam_bar.png)
![Study Hours Scatter](study_vs_exam_scatter.png)

**Result:** Strong positive correlation.

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### **Q2: Does sleeping longer lead to higher grades?**
![Sleep vs Exam Score](sleep_vs_exam_scatter.png)

**Result:** Weak but positive correlation.

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### **Q3: Does more time on social media reduce exam results?**
![Social Media Bar](social_media_vs_exam_bar.png)
![Social Media Scatter](social_media_vs_exam_scatter.png)

**Result:** Very weak negative effect.

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### **Q4: Does internet quality influence exam performance?**
![Internet Quality Bar](internet_quality_vs_exam_bar.png)

**Result:** No meaningful correlation.

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### **Q5: Do students with part-time jobs perform differently?**
![Part-Time Job Bar](part_time_job_vs_exam_bar.png)

**Result:** No major difference.

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### **Q6: Does gender influence academic performance?**
![Gender Comparison](gender_correlation.png)

**Result:** Small differences, not significant.

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### **Q7: Does exercise frequency improve exam outcomes?**
![Exercise vs Exam](exercise_vs_exam_score.png)

**Result:** Light positive trend.

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### **Q8: Does watching more Netflix lower exam performance?**
![Netflix Hours](netflix_hours_vs_exam_score.png)

**Result:** Moderate negative effect.

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### **Q9: Does attendance percentage affect exam scores?**
![Attendance vs Exam](attendance_vs_exam_score.png)

**Result:** Very small positive relationship.

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### **Q10: Does better mental health predict higher exam performance?**
![Mental Health](mental_health_vs_exam_score.png)

**Result:** Clear positive effect.  
Mental health is one of the strongest predictors.

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### **Q11: Does diet quality correlate with exam scores?**
![Diet Quality](diet_quality_vs_exam_score.png)

**Result:** Minimal effect.

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#  **Additional Analysis**



### **Correlation Heatmap of All Variables**
![Correlation Heatmap](correlation_heatmap.png)

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#  Dataset Structure (Data Dictionary)

| Column Name               | Description |
|--------------------------|-------------|
| student_id               | Unique student ID |
| age                      | Age of the student |
| gender                   | Male/Female/Other |
| study_hours_per_day      | Hours studied per day |
| sleep_hours              | Sleep duration in hours |
| social_media_hours       | Daily hours spent on social media |
| netflix_hours            | Hours spent watching Netflix |
| part_time                | Whether student works (Yes/No) |
| attendance_percentage    | Class attendance percent |
| sleep_hours              | Sleep duration |
| diet_quality             | Poor / Fair / Good |
| exercise_frequency       | Weekly exercise frequency |
| parental_education_level | Parent education (High school, Bachelor, Master…) |
| internet_quality         | Poor/Average/Good |
| mental_health_rating     | Scale 1–10 |
| extracurricular          | Participates in activities (Yes/No) |
| exam_score               | Final exam score |

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#  **Conclusion**
Study time, mental health,sleeping  hours and exercise show positive influence on exam scores.  
Netflix hours and heavy social media use show negative or weak negative effects.  
Lifestyle factors such as attendance, diet, and internet quality matter less than expected.

Students who balance healthy routines — good study habits, sleep, mental well-being, and moderate screen time — tend to perform better academically.

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#  Project Completed by  
 **Lipaz Levy**  
Reichman University — Data Analysis Project