📊 Student Grades Data Analysis (Python + Pandas + Matplotlib)

A Python project that analyzes student grades using Pandas and visualizes the results with Matplotlib. It loads grades from a CSV file, calculates statistics, generates reports, and produces visual charts.

🚀 Features

• Load student grades from a CSV file (students.csv)
• Calculate:
  • Average, highest, and lowest score
  • Number of passed/failed students
• Save summary to grades_summary.txt
• Visualize:
  • Histogram of grade distribution
  • Bar chart of average grade per subject

🛠️ Setup & Run

1. Clone this repository
2. Install requirements:

   pip install pandas matplotlib

Make sure students.csv is in the same folder as grades_analysis.py

Run:

bash Copy code python grades_analysis.py 📂 Example Dataset (students.csv) csv Copy code Name,Subject,Grade Alice,Math,78 Bob,Math,55 Charlie,Math,32 Diana,Science,88 Ethan,Science,47 Fiona,History,65 George,History,29 Helen,Math,92 📌 Example Output css Copy code ✅ Loaded 8 records from students.csv 📄 Report saved to grades_summary.txt grades_summary.txt

yaml Copy code === Student Grades Summary === Total students : 8 Average score : 60.75 Highest score : 92 Lowest score : 29 Passed : 6 Failed : 2 📈 Visualizations grades_histogram.png → Histogram of grades

subject_avg.png → Bar chart of subject averages

📖 What I Learned Using Pandas for data manipulation

Applying Matplotlib for visualizations

Reading/writing CSV & text files in Python

Creating a clean and reproducible data pipeline