electricsheepasia/asia-ilo-emp-stem-sex-cct-nb-employment-in-stem-occupations-by-sex-and-citizens

该数据集是一个表格数据集，包含亚洲15个国家在2008年至2024年间关于STEM（科学、技术、工程和数学）职业就业的统计数据，以千人为单位，并按性别和公民身份进行细分。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过API获取并经过处理，涵盖529个观测值。数据集包含唯一指标EMP_STEM_SEX_CCT_NB，表示按性别和公民身份分类的STEM职业就业人数。数据结构包括国家代码、国家名称、数据来源、指标代码、性别分类（总计、男性、女性）、公民身份分类、观测年份、观测值、数据状态标志等列。数据为年度频率，适用于表格分类、回归和时间序列预测等任务。数据集由Electric Sheep Asia重新打包，旨在为亚洲提供统一的机器学习就绪数据层。

This dataset is a tabular dataset containing statistics on employment in STEM (Science, Technology, Engineering, and Mathematics) occupations across 15 Asian countries from 2008 to 2024, measured in thousands, and disaggregated by sex and citizenship. The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), retrieved via API and processed, comprising 529 observations. It includes a single indicator EMP_STEM_SEX_CCT_NB, representing employment in STEM occupations by sex and citizenship. The schema includes columns such as country code, country name, data source, indicator code, sex classification (total, male, female), citizenship classification, observation year, observed value, and data status flags. The data is annual frequency and suitable for tasks like tabular classification, regression, and time-series forecasting. The dataset is repackaged by Electric Sheep Asia as part of a unified, ML-ready data layer for Asia.