📘 Student Marks Analysis

This project performs a basic analysis on student marks using Python, Pandas, and Matplotlib.
It reads data from a CSV file, calculates average marks, finds high scorers, and generates a summary with visualization.

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📁 Files Included

File Name	Description
student.csv	Original dataset of student names and marks
high_scorers.csv	Filtered students who scored above 80
student_analysis.ipynb	Jupyter Notebook with full analysis code
graph.png	Bar chart showing marks distribution

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📊 Output Graph Preview

This chart shows the marks of each student for visual comparison.

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🔧 Technologies Used

• Python 3
• Pandas (for data manipulation)
• Matplotlib (for visualization)
• Jupyter Notebook

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🎯 Features

• Calculate total students and average marks
• Identify students scoring above a certain threshold
• Visualize student performance in a bar chart
• Export filtered data to a new CSV file

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💡 What I Learned

• Working with CSV files in Pandas
• Filtering and analyzing data with conditions
• Visualizing data using bar plots
• File writing and basic data science structure

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👨‍💻 Author

Yasir Ali
Aspiring Data Engineer | GitHub