feat: propagate property numerical statistics

[AndreaBozzo]

propagation of numerical statistics properties.
remaining work ported into issue #203

[Copilot]

Pull request overview

This PR propagates advanced numerical statistics (median, quartiles, skewness, kurtosis, coefficient of variation, mode, variance) from the core calculate_numeric_stats function to all profiling engines (Arrow columnar, streaming incremental, and streaming mapped). The changes also expose these statistics in Python bindings and update HTML/JSON output rendering.

Changes:

• Refactored streaming engines (incremental and mapped) to delegate numeric statistics calculation to the centralized calculate_numeric_stats function instead of computing them inline
• Updated Arrow columnar engines to use calculate_numeric_stats and increased sample size cap from 100 to 10,000 to match the threshold used by the stats module
• Extended Python bindings (PyColumnProfile) to expose all new numeric statistics fields
• Enhanced HTML templates and Python HTML generation to display advanced numeric statistics
• Added comprehensive test coverage for the new statistics in streaming and columnar engines
• Increased max_sample_size in StreamingStatistics from 1,000 to 10,000 to align with the numeric stats module

Reviewed changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
src/python/types.rs	Added numeric statistics fields to PyColumnProfile and updated JSON serialization
src/output/html.rs	Updated format_column_stats_json to include all new numeric statistics fields
templates/single_report.hbs	Added HTML rendering for advanced numeric statistics (median, skewness, kurtosis, CV)
src/engines/streaming/mapped.rs	Refactored to use calculate_numeric_stats instead of inline calculations
src/engines/streaming/incremental.rs	Refactored to use calculate_numeric_stats and added test coverage
src/engines/columnar/record_batch_analyzer.rs	Updated to use calculate_numeric_stats and increased sample cap to 10,000
src/engines/columnar/arrow_profiler.rs	Updated to use calculate_numeric_stats and increased sample cap to 10,000
src/core/streaming_stats.rs	Increased max_sample_size from 1,000 to 10,000
python/dataprof/init.py	Added numeric statistics rendering in both JSON and HTML export methods

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