Ensure metadata consistency and UI refresh when renaming dataset columns

[Irozuku]

Summary

Improves the dataset column renaming workflow by ensuring all related metadata and statistics are correctly updated on the backend, and by refreshing the frontend dataset information automatically after a column rename. This guarantees metadata consistency and keeps the UI synchronized with the updated dataset state.

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Type of Change

Check all that apply like this [x]:

• Backend change
• Frontend change
• CI / Workflow change
• Build / Packaging change
• Bug fix
• Documentation

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Changes (by file)

Briefly list the important modified files and what was done.

• backend/.../dataset_api.py: Updated rename_dataset_column to rename columns across all related metadata fields including column_names, nan, general_info.dtypes, quality_info.nan_ratio_per_column, and statistics for numeric, categorical, and text columns. Correlation keys and values are also updated to reflect the new column name.
• DatasetVisualization.tsx: Reset active tab and trigger dataset info fetch whenever the dataset changes to ensure the UI reflects the latest state.
• OverviewTab.tsx: Added support for the onEditColumn callback to propagate column rename events.
• DatasetTable.tsx: Added onEditColumn callback so the parent component can refresh dataset information after a column rename.

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Testing (optional)

Rename a column in the dataset table and verify that:

• The column name is updated across all metadata fields and statistics.
• Correlation matrices reflect the new column name.
• The frontend dataset information refreshes automatically without requiring a manual reload.