地球资源数据云——数据资源详情
远程工作与心理健康
该数据集《Remote Work & Mental Health 》主要用于监督学习任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Analyzing Mental Well - being in a Remote Work Era 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Impact_of_Remote_Work_on_Mental_Health.csv。 As remote work continues to shape modern workplaces, understanding its effects on mental health, stress levels, and job satisfaction is crucial. This synthetic dataset is designed to simulate real - world trends and provide a structured foundation for analysis on how work location—remote, hybrid, and onsite—impacts employees across various industries. With 5,000 AI - generated records, this dataset serves as a valuable resource for HR professionals, researchers, and data analysts looking to explore the relationship between work flexibility and employee well - being in a controlled, risk - free environment. Key Features: Work Location Insights – Remote, Hybrid, and Onsite comparisons Stress & Mental Health Factors – Simulated self - reported stress levels & conditions Social Isolation Ratings – Employees’ perception of workplace connectivity Job Satisfaction Trends – Modeled patterns of employee satisfaction Dataset Overview: This dataset has been synthetically generated to mirror workplace trends and does not contain real - world data. It is intended for educational purposes, exploratory analysis, and data science practice.
摘要概览
该数据集《Remote Work & Mental Health 》主要用于监督学习任务，数据形态以表格为主，应用场景偏向医疗健康。 题目说明：Analyzing Mental Well - being in a Remote Work Era
任务类型：表格监督学习。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Impact_of_Remote_Work_on_Mental_Health.csv。
As remote work continues to shape modern workplaces, understanding its effects on mental health, stress levels, and job satisfaction is crucial. This synthetic dataset is designed to simulate real - world trends and provide a structured foundation for analysis on how work location—remote, hybrid, and onsite—impacts employees across various industries.
With 5,000 AI - generated records, this dataset serves as a valuable resource for HR professionals, researchers, and data analysts looking to explore the relationship between work flexibility and employee well - being in a controlled, risk - free environment.
Key Features: Work Location Insights – Remote, Hybrid, and Onsite comparisons Stress & Mental Health Factors – Simulated self - reported stress levels & conditions Social Isolation Ratings – Employees’ perception of workplace connectivity Job Satisfaction Trends – Modeled patterns of employee satisfaction
Dataset Overview:
This dataset has been synthetically generated to mirror workplace trends and does not contain real - world data. It is intended for educational purposes, exploratory analysis, and data science practice.