Vlad20041903/remote-worker-productivity

该数据集主要研究年龄与生产力之间的相关性、工作经验对远程工作效率的影响、每周远程工作天数的最佳平衡分析等多个主题。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，数据干净无缺失值，包含5个不同的生产力指标作为目标变量。此外，数据集还内置了一些研究见解，如年龄在30-45岁之间生产力最高、工作经验超过15年后回报递减等。该数据集适用于Kaggle竞赛、数据科学作品集、学术研究论文、HR分析项目等多种用途。

This dataset focuses on multiple research topics such as the correlation between age and productivity, the impact of years of experience on remote work effectiveness, and the optimal balance analysis of WFH days per week. The dataset contains 1,500 rows and 30+ columns, featuring a rich set of features and realistic correlations, with clean data and no missing values, including 5 different productivity metrics as target variables. Additionally, the dataset includes built-in research insights, such as the productivity sweet spot for ages 30-45, diminishing returns after 15+ years of experience, etc. It is suitable for various purposes like Kaggle competitions, data science portfolios, academic research papers, HR analytics projects, and more.