refactor: optimize analytics data preparation

[ash1shkumar]

📝 Description

This PR improves the analytics visualization layer by introducing reusable metric preparation helpers and reducing repeated dataset computations during component rendering.

Previously, analytics values such as completion rates and review load metrics were calculated directly at multiple points within the component. As analytics complexity grows, repeated calculations can increase processing overhead and make future maintenance more difficult.

Key Improvements

• Added reusable analytics preparation helpers for common metric calculations
• Standardized completion rate computation across analytics views
• Centralized review load calculation logic
• Introduced memoized analytics metric preparation using useMemo
• Reduced repeated computation during render cycles
• Improved maintainability of visualization data preparation workflows

Impact

This refactor streamlines analytics data preparation and creates a more scalable foundation for future reporting enhancements while preserving existing functionality and UI behavior.

🎯 Type of Change

• ♻️ Refactoring
• ⚡ Performance Improvement

✅ Testing

• Verified analytics metrics render correctly
• Verified workload distribution values remain unchanged
• Verified member completion percentages display correctly
• Confirmed no visual regressions in analytics components
• Confirmed memoized calculations update correctly when member selection changes

Fixes #220

Expected Labels

level3 NSoC'26

[vercel]

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