electricsheepafrica/africa-worldbank-poverty

该数据集名为“Poverty — Africa (World Bank WDI)”，是一个关于非洲贫困问题的表格数据集，专注于时间序列预测、表格分类和回归任务。它包含5,029个观测值，覆盖54个非洲国家，时间跨度为1980年至2024年，涉及21个不同的贫困相关指标。数据来源于世界银行的世界发展指标(WDI)，这是全球最常引用的发展数据参考，通过官方渠道收集并定期更新。数据集经过清洗和处理，删除了空值记录，并将年份和数值标准化。指标包括人口生活在贫民窟的比例、收入份额分布、贫困人口比例等，用于分析和监测非洲国家的贫困状况。数据集以结构化表格形式提供，包含指标代码、国家代码、年份和观测值等列，适用于机器学习和数据分析应用。This dataset, titled Poverty — Africa (World Bank WDI), is a tabular dataset focusing on poverty in Africa, designed for time-series forecasting, tabular classification, and regression tasks. It contains 5,029 observations across 54 African countries, spanning the years 1980 to 2024, and covers 21 distinct poverty-related indicators. The data is sourced from the World Banks World Development Indicators (WDI), the most-cited global reference for development data, which is compiled from official sources and updated annually. The dataset has been cleaned and processed, with null observations filtered out and years and values normalized. Indicators include the population living in slums, income share distributions, poverty headcount ratios, and more, aimed at analyzing and monitoring poverty trends in African countries. It is provided in a structured tabular format with columns such as indicator code, country code, year, and observed value, suitable for machine learning and data analysis applications.