In the age of information, raw numbers are not enough. This project focus on turning student marks into visual charts that teachers can actually act upon.
Efficient Data Processing with Pandas
The tool automates the ingestion of academic CSV files, performing statistical analysis to detect performance gaps and calculating class-wide metrics in seconds.
Impactful Visual Reports
Using Matplotlib, I generatedgrade distribution histograms and performance scatter plots. These visualizations make it easy to see which subjects need more focus and which students are excelling.
Technologies Analyzed
Python Pandas Matplotlib