遇见数据集

electricsheepafrica/africa-ilo-emp-nifl-sex-how-rt-informal-employment-rate-by-sex-and-weekly-hours-a

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Hugging Face2026-05-25 更新2026-05-31 收录
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资源简介:

该数据集包含关于非洲非正规经济的统计信息,具体指标为按性别和每周实际工作小时数划分的非正规就业率(%)。数据集涵盖39个非洲国家,时间跨度为2000年至2025年,包含4,231个观测值。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过REST API获取并经过过滤处理,以确保仅包含非洲地区的国家代码。数据集以表格形式组织,包括列如国家代码(ref_area)、国家名称(ref_area.label)、数据来源(source)、指标代码(indicator)、性别分类(sex)、观测年份(time)、观测值(obs_value)等。数据按年度频率发布,并包含数据质量说明,例如当同一国家×年份存在多个数据源时,使用ILO选择的最佳来源。该数据集适用于表格分类、回归和时间序列预测等任务,可用于分析非洲非正规就业的趋势和模式。

This dataset contains statistical information on the informal economy in Africa, specifically the indicator Informal employment rate by sex and weekly hours actually worked (%). It covers 39 African countries from 2000 to 2025, with 4,231 observations. The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, retrieved via the REST API and filtered to include only African country codes. The dataset is organized in tabular format, including columns such as country code (ref_area), country name (ref_area.label), data source (source), indicator code (indicator), sex disaggregation (sex), observation year (time), observed value (obs_value), and more. The data is published at annual frequency and includes data quality caveats, such as using the ILO-selected best source when multiple sources exist for the same country×year. This dataset is suitable for tasks like tabular classification, regression, and time-series forecasting, enabling analysis of trends and patterns in informal employment across Africa.

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