Duplicate from nprak26/remote-worker-productivity

Co-authored-by: nishanth prakash <nprak26@users.noreply.huggingface.co>

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README.md

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+---
+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