This project is built to analyze and visualize student academic performance data.
- π₯ Load student data from CSV or Excel files
- π Analyze performance: average, highest, lowest scores
- π Generate visualizations: bar charts, pie charts, histograms
- π§ Optional: Predict scores using Linear Regression or other ML models
- π§Ή Handle missing or inconsistent data
main.pyβ Main script for running the analysisdata/students.csvβ Sample dataset (roll no, name, subject-wise marks)analysis.pyβ Contains functions for computing statisticsvisualize.pyβ Plot graphs using matplotlib/seabornrequirements.txtβ List of required packages