📊 Student Exam Analysis

This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.

🚀 Features

• Generate random student scores with NumPy
• Store and analyze data using Pandas DataFrame
• Calculate statistics (average, max, min)
• Visualize exam results with Matplotlib bar charts
• Save figures as .png files in the same folder

🛠 Tech Stack

• Python 3
• NumPy
• Pandas
• Matplotlib

📂 Project Structure

student-exam-analysis/
│
├── student_analysis.py    # Main project script
├── student_scores.png     # Saved figure (auto-generated)
└── requirements.txt       # Dependencies
 

⚡ How to Run

1. Clone this repo:

   git clone https://github.com/your-username/student-exam-analysis.git
   cd student-exam-analysis

2. Install requirements:

   pip install numpy pandas matplotlib

3. Run the script:

   python student_analysis.py

4. Check the saved figure:

   • student_scores.png will be created in the same folder.

📊 Example Output

Console Output

Student Data:
     Name  Math  Science
0    Ali    88       92
1   Sara    70       53
...

Figure Output A bar chart comparing Math and Science scores for each student.

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🎯 Future Improvements

• Load student data from a CSV file
• Add more subjects (English, History, etc.)
• Generate summary reports
• Export results to Excel