lipaz/StudentHabitsvsAcademicPerformance
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. 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?… See the full description on the dataset page: https://huggingface.co/datasets/lipaz/StudentHabitsvsAcademicPerformance.
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1# Student Habits vs Academic Performance 2Dataset & Analysis by Lipaz Levy3 4This 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.5 6---7We used a dataset of **1001 students**, each with lifestyle habits, well-being indicators, and exam scores. 8The goal was to answer:9 10 **How do students’ daily habits affect their exam performance?**11 12---13 14# Data Cleaning & Preprocessing15 16Before performing analysis, several preprocessing steps were required to clean and prepare the dataset.17 18## 1. Checked for missing values 19- No missing values were found.20 21## 2. Fixed formatting issues 22- Trimmed spaces from categorical values (“ Yes” → “Yes”).23 24## 3. Encoded categorical variables for correlations & regressions 25Added encoded columns:26 27- **diet_quality_encoded** 28 - Poor → 0 29 - Fair → 1 30 - Good → 2 31 32- **internet_quality_encoded** 33 - Poor → 0 34 - Average → 1 35 - Good → 2 36 37## 4. Converted columns to numeric 38Ensured all measurement columns were floats:39- study_hours_per_day 40- sleep_hours 41- social_media_hours 42- netflix_hours 43- exercise_frequency 44- attendance_percentage 45- exam_score 46 47## 5. Dataset shape 48- **Original:** 1001 rows × 16 columns 49- **After encoding:** 1001 rows × 18 columns 50 51## 6. Outlier check 52- All values were within valid human ranges. 53- No rows were removed.54 55 56# **Main Research Question**57**How do students’ daily habits affect their exam performance?** 58(study hours, sleep, social media, lifestyle factors)59 60---61 62# **Sub-Questions Analyzed**63 64### **Q1: Does studying more hours improve exam performance?**656667 68**Result:** Strong positive correlation.69 70---71 72### **Q2: Does sleeping longer lead to higher grades?**7374 75**Result:** Weak but positive correlation.76 77---78 79### **Q3: Does more time on social media reduce exam results?**808182 83**Result:** Very weak negative effect.84 85---86 87### **Q4: Does internet quality influence exam performance?**8889 90**Result:** No meaningful correlation.91 92---93 94### **Q5: Do students with part-time jobs perform differently?**9596 97**Result:** No major difference.98 99---100 101### **Q6: Does gender influence academic performance?**102103 104**Result:** Small differences, not significant.105 106---107 108### **Q7: Does exercise frequency improve exam outcomes?**109110 111**Result:** Light positive trend.112 113---114 115### **Q8: Does watching more Netflix lower exam performance?**116117 118**Result:** Moderate negative effect.119 120---121 122### **Q9: Does attendance percentage affect exam scores?**123124 125**Result:** Very small positive relationship.126 127---128 129### **Q10: Does better mental health predict higher exam performance?**130131 132**Result:** Clear positive effect. 133Mental health is one of the strongest predictors.134 135---136 137### **Q11: Does diet quality correlate with exam scores?**138139 140**Result:** Minimal effect.141 142---143 144# **Additional Analysis**145 146 147 148### **Correlation Heatmap of All Variables**149150 151---152 153# Dataset Structure (Data Dictionary)154 155| Column Name | Description |156|--------------------------|-------------|157| student_id | Unique student ID |158| age | Age of the student |159| gender | Male/Female/Other |160| study_hours_per_day | Hours studied per day |161| sleep_hours | Sleep duration in hours |162| social_media_hours | Daily hours spent on social media |163| netflix_hours | Hours spent watching Netflix |164| part_time | Whether student works (Yes/No) |165| attendance_percentage | Class attendance percent |166| sleep_hours | Sleep duration |167| diet_quality | Poor / Fair / Good |168| exercise_frequency | Weekly exercise frequency |169| parental_education_level | Parent education (High school, Bachelor, Master…) |170| internet_quality | Poor/Average/Good |171| mental_health_rating | Scale 1–10 |172| extracurricular | Participates in activities (Yes/No) |173| exam_score | Final exam score |174 175---176 177# **Conclusion**178Study time, mental health,sleeping hours and exercise show positive influence on exam scores. 179Netflix hours and heavy social media use show negative or weak negative effects. 180Lifestyle factors such as attendance, diet, and internet quality matter less than expected.181 182Students who balance healthy routines — good study habits, sleep, mental well-being, and moderate screen time — tend to perform better academically.183 184---185 186# Project Completed by 187 **Lipaz Levy** 188Reichman University — Data Analysis Project189 190