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This PR addresses issue #555 by adding a new Jupyter notebook titled correlation-analysis.ipynb to the 13-meaningful-visualizations module.

What's Included:

  • Pearson correlation analysis on sample student scores
  • Seaborn heatmap visualization
  • Markdown explanation for learners

This enhances the data visualization section by helping beginners understand feature relationships quantitatively — important for preprocessing and feature engineering.

@AvishManiar21
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@microsoft-github-policy-service agree

@AvishManiar21
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Hi maintainers! I’ve signed the CLA and submitted the notebook addressing issue #555. Please let me know if you need any revisions. Thanks for reviewing!

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