遇见数据集

electricsheepafrica/africa-ilo-emp-nifl-sex-eco-geo-nb-informal-employment-by-sex-economic-activity-and-r

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集名为按性别、经济活动和城乡地区划分的非正规就业(千人)| 非洲(ILOSTAT),包含17,633个观测值,覆盖41个非洲国家,时间跨度为1999年至2025年,涵盖1个独特指标。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,主题为非正规经济,通过ILOSTAT REST API直接提取并过滤为非洲国家代码。数据集提供了详细的列结构,包括国家代码、国家名称、来源代码、指标代码、性别分类、经济活动分类、城乡地区分类、观测年份、观测值、观测状态等。数据以年度频率发布,并包含数据质量说明,如来源选择规则和分类列的非空条件。该数据集由Electric Sheep Africa重新打包,旨在为非洲提供统一的、机器学习就绪的数据层,便于研究人员和开发者快速使用。

This dataset is named Informal employment by sex, economic activity and rural / urban areas (thousands) | Africa (ILOSTAT), containing 17,633 observations across 41 African countries, spanning from 1999 to 2025, and covering 1 distinct indicator. The data is sourced from the ILOSTAT database of the International Labour Organization (ILO), focusing on the informal economy, and is extracted directly via the ILOSTAT REST API and filtered to African country codes. The dataset provides a detailed schema including columns such as country code, country name, source code, indicator code, sex classification, economic activity classification, rural/urban area classification, observation year, observed value, observation status, and more. The data is published at an annual frequency and includes data quality caveats, such as source selection rules and non-null conditions for disaggregation columns. Repackaged by Electric Sheep Africa, this dataset is part of a unified, ML-ready data layer for Africa, designed to facilitate rapid usage by researchers and developers.

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electricsheepafrica
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