electricsheepafrica/africa-wash-liberia

该数据集名为“Water Point Data Exchange (LBR)”，是一个专注于利比里亚（LBR）农村水点（如井、泉水、水龙头）的众包数据集，由Water Point Data Exchange发布。数据集通过WPdx平台收集，数据来源于政府、非政府组织和研究人员，并经过清理和标准化处理，遵循WPdx数据标准，以创建可用于分析的健壮数据集。它基于WPdx-Plus子集，该子集专注于有地区或国家数据的国家，并进行了额外清理。数据集包括两个主要文件：wpdx_adm_region_analysis提供行政级别的人口概况（如服务人口、未服务人口和未记录人口）以及基于水点记录年龄的数据质量分析；wpdx_water_points提供水点级别的详细信息，包括所有WPdx数据标准参数以及WPdx修复优先级、服务差距/新建建议和状态预测分析的结果。每个行代表国家级汇总数据，时间覆盖由report_date和created_timestamp列指示。数据集总行数为28,453，包含39个列（15个数值型、22个类别型、2个日期时间型），分为训练集（22,762行）和测试集（5,690行）。地理范围限定为利比里亚（LBR），领域涉及人口统计学和人口数据。数据集由Electric Sheep Africa整理为机器学习就绪的Parquet格式。

The dataset is named Water Point Data Exchange (LBR) and is a crowdsourced dataset focused on rural water points (e.g., wells, springs, tapstands) in Liberia (LBR), published by the Water Point Data Exchange. It is collected through the WPdx platform, with data contributed by governments, NGOs, and researchers, and is cleaned and harmonized using the WPdx Data Standard to create a robust analysis-ready dataset. It is based on the WPdx-Plus subset, which focuses on countries with district and/or national data available and undergoes additional cleaning. The dataset includes two primary files: wpdx_adm_region_analysis provides an overview of population served, unserved, and uncharted for each administrative level, along with data quality analysis based on water point record age; wpdx_water_points provides water point-level details, including all WPdx data standard parameters plus results from WPdx Rehab Priority, Service Gap/New Construction, and Status Prediction analyses. Each row represents country-level aggregates, with temporal coverage indicated by the report_date and created_timestamp columns. The dataset has a total of 28,453 rows and 39 columns (15 numeric, 22 categorical, 2 datetime), split into train (22,762 rows) and test (5,690 rows) sets. The geographic scope is limited to Liberia (LBR), and the domain is demographics and population. It has been curated into ML-ready Parquet format by Electric Sheep Africa.