beyzayz/remote-worker-productivity

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