electricsheepeurope/europe-ilo-emp-temp-sex-how-edu-nb-employment-by-sex-weekly-hours-actually-worked-and

该数据集是一个关于欧洲就业的统计数据集，源自国际劳工组织（ILO）的ILOSTAT数据库。它包含了271,077个观测值，覆盖39个欧洲国家，时间跨度为1987年至2025年。数据集专注于一个核心指标：EMP_TEMP_SEX_HOW_EDU_NB，即按性别、每周实际工作小时数和教育程度细分的就业人数（以千计）。数据结构包括国家代码、国家名称、数据来源、指标代码、指标标签、性别分类（总计、男性、女性）、第一分类变量（如小时数带）、第二分类变量（如教育程度汇总）、观测年份、观测值、观测状态以及相关注释。数据集旨在提供就业数据的多维分析，支持表格分类、回归和时间序列预测等任务，并已由Electric Sheep Europe重新打包为机器学习就绪格式。This dataset is a statistical dataset on employment in Europe, sourced from the International Labour Organization (ILO)s ILOSTAT database. It contains 271,077 observations covering 39 European countries from 1987 to 2025. The dataset focuses on a core indicator: EMP_TEMP_SEX_HOW_EDU_NB, which represents employment disaggregated by sex, weekly hours actually worked, and education (in thousands). The data structure includes country codes, country names, data sources, indicator codes, indicator labels, sex disaggregation (total, male, female), first classification variable (e.g., hour bands), second classification variable (e.g., education aggregate), observation year, observed value, observation status, and related notes. It is designed for multidimensional analysis of employment data, supporting tasks such as tabular classification, regression, and time-series forecasting, and has been repackaged by Electric Sheep Europe into a machine-learning-ready format.