Refactor categorical statistics computation in separate module

[gaugup]

Description

Refactored the categorical stats computation logic into its own module in error analysis so that RAIInsights can leverage the same.

Checklist

• I have added screenshots above for all UI changes.
• I have added e2e tests for all UI changes.
• Documentation was updated if it was needed.

[github-actions]

https://responsibleai.blob.core.windows.net/pullrequest/microsoft/responsible-ai-toolbox/gaugup/ProcessCategoricals/dashboard/index.html

[codecov-commenter]

Codecov Report

Merging #1600 (e039b45) into main (d8b1f9e) will increase coverage by 0.02%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main    #1600      +/-   ##
==========================================
+ Coverage   88.89%   88.91%   +0.02%     
==========================================
  Files         109      110       +1     
  Lines        5402     5415      +13     
==========================================
+ Hits         4802     4815      +13     
  Misses        600      600              

Flag	Coverage Δ
unittests	88.91% <100.00%> (+0.02%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...is/erroranalysis/_internal/process_categoricals.py	100.00% <100.00%> (ø)
...ranalysis/erroranalysis/analyzer/error_analyzer.py	92.50% <100.00%> (-0.40%)	⬇️

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[github-actions]

https://responsibleai.blob.core.windows.net/pullrequest/microsoft/responsible-ai-toolbox/gaugup/ProcessCategoricals/dashboard/index.html

[github-actions]

https://responsibleai.blob.core.windows.net/pullrequest/microsoft/responsible-ai-toolbox/gaugup/ProcessCategoricals/dashboard/index.html