beyzayz/remote-worker-productivity

该数据集主要研究年龄与生产力的相关性、工作经验对远程工作效果的影响以及每周远程办公天数的最佳平衡。数据集包含1,500行数据和30多个列，具有丰富的特征集和真实的相关性，数据清洁无缺失值，包含5个不同的生产力指标作为目标变量。数据集内置了多项研究见解，如年龄在30-45岁之间生产力最高、工作经验超过15年后收益递减、技术角色更受益于远程办公等。该数据集适用于Kaggle竞赛、数据科学项目、学术研究等多种场景。

This dataset focuses on the correlation between age and productivity, the impact of years of experience on remote work effectiveness, and the optimal balance of WFH days per week. It contains 1,500 rows and 30+ columns with rich feature sets and realistic correlations. The data is clean with no missing values and includes 5 different productivity metrics as target variables. The dataset has built-in research insights such as the productivity sweet spot for ages 30-45, diminishing returns after 15+ years of experience, and tech roles benefiting more from WFH. It is suitable for Kaggle competitions, data science projects, academic research, and more.