High Memory Overload During Dynamic Large Dataset Visualizations (Performance / UI) (#113)

[saurabhhhcodes]

Fixes #113

[gemini-code-assist]

Code Review

This pull request adds a TODO comment to the README.md regarding high memory overload during dynamic large dataset visualizations. The reviewer points out that adding a placeholder in the documentation does not resolve the underlying performance issue and suggests addressing the memory issues directly in the visualization code, such as by implementing data sampling or optimizing memory usage.

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[gemini-code-assist]

Adding a TODO comment to the README.md does not resolve the high memory overload issue described in #113. The actual performance and memory issues in the visualization pages (such as pages/3_📊 Visualize.py or visualize.py when rendering large datasets with Seaborn/Plotly) should be addressed directly in the code (e.g., by implementing data sampling, disabling heavy plots like pairplots for large datasets, or optimizing memory usage) rather than adding a placeholder in the documentation.

[github-actions]

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