🎓 Student Performance EDA & Visualization

This project analyzes student performance data and explores how different lifestyle factors (such as study hours, sleep, diet quality, exercise, stress, etc.) influence GPA.
It includes exploratory data analysis (EDA), feature engineering, visualizations, and an interactive dashboard built with Dash.

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📊 Project Workflow

1. Data Preprocessing

   • Cleaned missing values (e.g., GPA ranges converted to numeric).
   • Engineered new features (stress level, study hours category, etc.).

2. Exploratory Data Analysis

   • Statistical summaries of GPA and lifestyle factors.
   • Correlation analysis between GPA and habits.

3. Visualizations

   • Bar plots, histograms, and scatter plots using Plotly Express.
   • Interactive dashboard with Dash.

4. Dashboard

   • Interactive dashboard to explore:
     • Diet Quality distribution
     • Sleep Hours vs GPA
     • Stress Level vs GPA
     • Exercise Frequency distribution

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🚀 How to Run

1️⃣ Clone the Repository

git clone https://github.com/your-username/Student-Performance-EDA.git
cd Student-Performance-EDA