fix numeric formatting and handle null values in NumericTab

[Felipedino]

This pull request improves the robustness and user experience of the NumericTab component by adding safer handling and formatting of numerical statistics, ensuring that missing or invalid data is gracefully displayed as "N/A" instead of causing errors. It also enhances the reliability of the boxplot and warning displays by validating data before rendering.

Key improvements:

Robust number handling and formatting:

• Introduced utility functions toNumberOrNull and formatNumber to safely parse and format numeric values, displaying "N/A" when data is missing or invalid. These functions are now used throughout the component for all numeric statistics.
• Updated all displayed statistics (mean, median, std, quartiles, bounds, min, max, skewness, kurtosis, etc.) to use these new formatting functions, preventing runtime errors from undefined or non-numeric values. [1] [2] [3]

Boxplot and outlier display reliability:

• Added checks to ensure all required boxplot data is present and valid before rendering the boxplot, preventing crashes when data is missing.
• Updated boxplot and outlier trace construction to use safely parsed numbers and the new formatting functions for display and hover templates. [1] [2] [3] [4]

Conditional warnings and alerts:

• Modified outlier and skewness warnings to only display when the relevant statistics are present and valid, avoiding false positives or errors when data is missing. [1] [2]

[Copilot]

Pull request overview

This PR hardens the NumericTab dataset analysis UI by making numeric rendering tolerant of missing/invalid values, preventing toFixed() crashes and improving conditional rendering for plots and warnings.

Changes:

• Added toNumberOrNull / formatNumber helpers and applied them across displayed numeric statistics.
• Made rendering resilient to absent numericStats and guarded boxplot/outlier rendering behind data validity checks.
• Adjusted warning display conditions (outliers/skewness) to avoid errors when values are missing.

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