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Key Features:
Primary Research Focus:
- Age vs Productivity correlation
- Years of Experience impact on remote work effectiveness
- WFH Days per Week optimal balance analysis
- Multiple productivity metrics (not just one score)
Dataset Highlights:
- 1,500 rows - Perfect size for analysis
- 30+ columns - Rich feature set
- Realistic correlations - Built-in meaningful relationships
- Clean data - No missing values, proper data types
- Multiple target variables - 5 different productivity metrics
Built-in Research Insights:
- Age sweet spot around 30-45 for productivity
- Experience curve - diminishing returns after 15+ years
- Department differences - Tech roles benefit more from WFH
- WFH optimization - 2-3 days often optimal for most roles
- Environment factors - Home office quality significantly impacts performance
Perfect for:
- Kaggle competitions and datasets
- Data science portfolios
- Academic research papers
- HR analytics projects
- Machine learning practice
- Statistical analysis studies
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