| | ---
|
| | license: cc-by-4.0
|
| | task_categories:
|
| | - tabular-classification
|
| | - tabular-regression
|
| | language:
|
| | - en
|
| | ---
|
| | ## 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 |
