electricsheepafrica/africa-disability-equatorial-guinea

该数据集包含来自世界卫生组织（WHO）数据门户的健康指标数据，涵盖赤道几内亚（GNQ）的一级行政单位观测数据。数据涵盖多个健康类别，包括空气污染、儿童死亡率、痴呆症诊断、治疗和护理、环境与健康、食品安全、全球痴呆症观察站（GDO）、全球健康估计（如预期寿命和主要死因及残疾）、全球酒精与健康信息系统、全球患者安全观察站、HIV、健康融资、卫生系统、健康税、卫生人力、肝炎、免疫覆盖率和疫苗可预防疾病、疟疾、孕产妇和生殖健康、心理健康、被忽视的热带病、非传染性疾病、营养、口腔健康、优先健康技术、物质使用障碍资源、道路安全、性传播感染、物质使用障碍服务覆盖、烟草控制、结核病、全民健康覆盖（UHC）、SDG目标3.8、疫苗可预防的传染性疾病、暴力预防、水、卫生和卫生设施（WASH）、世界卫生统计等。数据集总共有18,412行，19列（6个数值列，13个分类列，0个日期时间列），分为训练集（14,729行）和测试集（3,682行）。数据最后更新于2026年4月15日，由Electric Sheep Africa整理为ML就绪的Parquet格式。数据集用于表格分类任务，领域为食品安全和营养。

This dataset contains health indicator data sourced from the World Health Organization (WHO) Data Portal, covering observational data at the first-level administrative division level of Equatorial Guinea (GNQ). The data covers multiple health categories, including air pollution, child mortality, dementia diagnosis, treatment and care, environmental and health, food safety, Global Dementia Observatory (GDO), global health estimates (e.g., life expectancy, leading causes of death and disability), Global Alcohol and Health Information System, Global Patient Safety Observatory, HIV, health financing, health systems, health taxes, health workforce, hepatitis, immunization coverage and vaccine-preventable diseases, malaria, maternal and reproductive health, mental health, neglected tropical diseases, non-communicable diseases, nutrition, oral health, priority health technologies, substance use disorder resources, road safety, sexually transmitted infections, substance use disorder service coverage, tobacco control, tuberculosis, Universal Health Coverage (UHC), SDG Target 3.8, vaccine-preventable infectious diseases, violence prevention, water, sanitation and hygiene (WASH), and World Health Statistics. The dataset consists of 18,412 rows and 19 columns in total, including 6 numerical columns, 13 categorical columns, and 0 datetime columns. It is split into a training set (14,729 rows) and a test set (3,682 rows). The data was last updated on April 15, 2026, and was formatted into ML-ready Parquet files by Electric Sheep Africa. This dataset is intended for tabular classification tasks, with its domain focused on food safety and nutrition.