“Exploratory Data Analysis of Student Exam Scores using Python (Pandas, NumPy, Matplotlib, Seaborn).” Student Performance Analysis
Welcome to the Student Performance Analysis project! In this project, we perform an exploratory data analysis (EDA) on a dataset containing students' exam scores to uncover insights about their performance based on various factors like study time and gender.
🔍 Data Overview Dataset: student-mat.csv
Columns of Interest:
G1, G2, G3 (Grades for three terms)
studytime (Hours spent studying weekly)
sex (Gender: Male/Female)
📈 Visualizations
Histogram of final grades.
Scatter plot between study time and final grade.
Bar chart comparing average scores of male and female students.
🤝 Contributing
Contributions are welcome! Feel free to open an issue or submit a pull request with improvements or new ideas.
📧 Contact
For any questions or feedback, please reach out via email at preetam100832@gmail.com