Add Student Performance Analysis project

Student-Performance-Analysis/README.md

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+# Student Performance Analysis Dashboard
+
+## Description
+
+A simple Data Analysis project using Python, Pandas, and Matplotlib.
+
+The project:
+
+- Reads student marks from a CSV file
+- Calculates average marks
+- Identifies the top performer
+- Visualizes student performance using a bar chart
+
+## Technologies Used
+
+- Python
+- Pandas
+- Matplotlib
+
+## Run
+
+```bash
+pip install -r requirements.txt
+python student_analysis.py
+```
+
+## Output
+
+Displays:
+- Student summary
+- Top performer
+- Performance chart

Student-Performance-Analysis/requirements.txt

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+pandas
+matplotlib

Student-Performance-Analysis/student_analysis.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+df = pd.read_csv("student_data.csv")
+
+df["Average"] = df[["Math", "Science", "English"]].mean(axis=1)
+
+print("\nStudent Performance Summary")
+print(df)
+
+topper = df.loc[df["Average"].idxmax()]
+
+print("\nTop Performer:")
+print(topper["Name"])
+
+plt.figure(figsize=(8,5))
+plt.bar(df["Name"], df["Average"])
+plt.title("Average Marks of Students")
+plt.xlabel("Students")
+plt.ylabel("Average Marks")
+plt.xticks(rotation=45)
+plt.tight_layout()
+
+plt.show()

Student-Performance-Analysis/student_data.csv

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+Name,Math,Science,English
+Rahul,85,78,90
+Priya,92,88,95
+Amit,70,75,72
+Sneha,95,91,89
+Rohan,65,68,70
+Anjali,88,85,92