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STUDENT PERFORMANCE ANALYZER

Q:What does this project do?

The Student Performance Analyzer is a Python-based data analysis project that processes student academic data from a CSV file, calculates total scores and grades, performs statistical analysis, and generates visual reports to understand student performance patterns.

Q:Libraries Used and Why

-> Pandas → for loading, cleaning, and manipulating student data -> NumPy → for numerical operations and correlation calculation -> Matplotlib → for creating visualizations such as bar charts, histograms, and scatter plots

Q:Insights from the Data

The analysis showed a strong positive correlation (0.91) between attendance and total score, indicating that students with higher attendance generally achieve better academic performance.

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Python project analyzing student performance using Pandas, NumPy, and Matplotlib with statistical insights and visual reports.

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