electricsheepafrica/africa-world-bank-combined-indicators-for-burkina-faso

--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - tabular-classification task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - agriculture-livestock - aid-effectiveness - climate-weather - development - economics - education - energy - environment - bfa pretty_name: "Burkina Faso - Economic, Social, Environmental, Health, Education, Development and Energy" dataset_info: splits: - name: train num_examples: 49208 - name: test num_examples: 12302 --- # Burkina Faso - Economic, Social, Environmental, Health, Education, Development and Energy **Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso) · **License:** `cc-by` · **Updated:** 2026-03-27 --- ## Abstract Contains data from the World Bank's [data portal](http://data.worldbank.org/) covering the following topics which also exist as individual datasets on HDX: [Agriculture and Rural Development](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-burkina-faso), [Aid Effectiveness](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-burkina-faso), [Economy and Growth](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-burkina-faso), [Education](https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso), [Energy and Mining](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-burkina-faso), [Environment](https://data.humdata.org/dataset/world-bank-environment-indicators-for-burkina-faso), [Financial Sector](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-burkina-faso), [Health](https://data.humdata.org/dataset/world-bank-health-indicators-for-burkina-faso), [Infrastructure](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-burkina-faso), [Social Protection and Labor](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-burkina-faso), [Poverty](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-burkina-faso), [Private Sector](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-burkina-faso), [Public Sector](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-burkina-faso), [Science and Technology](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-burkina-faso), [Social Development](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-burkina-faso), [Urban Development](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-burkina-faso), [Gender](https://data.humdata.org/dataset/world-bank-gender-indicators-for-burkina-faso), [Millenium development goals](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-burkina-faso), [Climate Change](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-burkina-faso), [External Debt](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-burkina-faso), [Trade](https://data.humdata.org/dataset/world-bank-trade-indicators-for-burkina-faso). Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **BFA**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Public health | | **Unit of observation** | Country-level aggregates | | **Rows (total)** | 61,510 | | **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) | | **Train split** | 49,208 rows | | **Test split** | 12,302 rows | | **Geographic scope** | BFA | | **Publisher** | World Bank Group | | **HDX last updated** | 2026-03-27 | --- ## Variables **Geographic** — `country_name` (Burkina Faso), `country_iso3` (BFA), `year` (range 1960.0–2025.0). **Outcome / Measurement** — `value` (range -1417995712300.0–14497180266200.0). **Identifier / Metadata** — `indicator_name` (Domestic credit to private sector (% of GDP), Population in largest city, Net migration), `indicator_code` (SM.POP.NETM, EN.URB.MCTY.TL.ZS, EN.URB.LCTY), `esa_source` (HDX), `esa_processed` (2026-04-15). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-world-bank-combined-indicators-for-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `country_name` | object | 0.0% | Burkina Faso | | `country_iso3` | object | 0.0% | BFA | | `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 2000.3486) | | `indicator_name` | object | 0.0% | Domestic credit to private sector (% of GDP), Population in largest city, Net migration | | `indicator_code` | object | 0.0% | SM.POP.NETM, EN.URB.MCTY.TL.ZS, EN.URB.LCTY | | `value` | float64 | 0.0% | -1417995712300.0 – 14497180266200.0 (mean 67734791633.2004) | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-15 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `year` | 1960.0 | 2025.0 | 2000.3486 | 2003.0 | | `value` | -1417995712300.0 | 14497180266200.0 | 67734791633.2004 | 47.5507 | --- ## Curation Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 17,264 exact duplicate rows were removed. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet. --- ## Limitations - Data originates from World Bank Group and has not been independently validated by ESA. - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_world_bank_combined_indicators_for_burkina_faso, title = {Burkina Faso - Economic, Social, Environmental, Health, Education, Development and Energy}, author = {World Bank Group}, year = {2026}, url = {https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } ``` --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*### 数据集元数据 标注创建者：无标注 语言采集方式：现有数据源获取 语言：英语 许可证：CC-BY-4.0 多语言类型：单语言 样本规模：10000 < 样本数 < 100000 源数据集：原创数据集 任务类别：表格分类 任务子项：无 标签：非洲、人道主义、HDX（Humanitarian Data Exchange）、Electric Sheep Africa、农业与畜牧业、援助有效性、气候与天气、发展、经济学、教育、能源、环境、布基纳法索（BFA） 数据集名称：布基纳法索——经济、社会、环境、卫生、教育、发展与能源 数据集信息： 拆分方式： - 拆分名称：训练集，样本数量：49208 - 拆分名称：测试集，样本数量：12302 # 布基纳法索——经济、社会、环境、卫生、教育、发展与能源 **发布方：世界银行集团 · 数据源：[HDX（Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso) · 许可证：`CC-BY` · 更新时间：2026-03-27** ## 摘要 本数据集包含来自世界银行[数据门户](http://data.worldbank.org/)的多领域数据，以下主题的对应数据集也可在HDX平台上单独获取：[农业与农村发展](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-burkina-faso)、[援助有效性](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-burkina-faso)、[经济与增长](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-burkina-faso)、[教育](https://data.humdata.org/dataset/world-bank-education-indicators-for-burkina-faso)、[能源与矿业](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-burkina-faso)、[环境](https://data.humdata.org/dataset/world-bank-environment-indicators-for-burkina-faso)、[金融部门](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-burkina-faso)、[卫生](https://data.humdata.org/dataset/world-bank-health-indicators-for-burkina-faso)、[基础设施](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-burkina-faso)、[社会保护与劳动](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-burkina-faso)、[贫困](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-burkina-faso)、[私营部门](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-burkina-faso)、[公共部门](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-burkina-faso)、[科学与技术](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-burkina-faso)、[社会发展](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-burkina-faso)、[城市发展](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-burkina-faso)、[性别平等](https://data.humdata.org/dataset/world-bank-gender-indicators-for-burkina-faso)、[千年发展目标](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-burkina-faso)、[气候变化](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-burkina-faso)、[外债](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-burkina-faso)、[贸易](https://data.humdata.org/dataset/world-bank-trade-indicators-for-burkina-faso)。 本数据集的每一行均代表国家层面的汇总数据。HDX平台上的最新更新时间为2026-03-27。地理覆盖范围：**布基纳法索（BFA）**。 *本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适合机器学习的Parquet格式。* ## 数据集特征 | 项 | 详情 | |---|---| | **领域** | 公共卫生 | | **观测单元** | 国家层面汇总数据 | | **总行数** | 61510 | | **列数** | 8（2个数值型，6个分类型，0个日期时间型） | | **训练集拆分** | 49208行 | | **测试集拆分** | 12302行 | | **地理覆盖范围** | BFA（布基纳法索） | | **发布方** | 世界银行集团 | | **HDX最后更新时间** | 2026-03-27 | ## 变量 **地理类** — `country_name`（国家名称：布基纳法索）、`country_iso3`（国家ISO3代码：BFA）、`year`（年份范围：1960.0–2025.0）。 **结果/测量类** — `value`（指标数值范围：-1417995712300.0–14497180266200.0）。 **标识符/元数据类** — `indicator_name`（指标名称：私营部门国内信贷占GDP百分比、最大城市人口、净移民）、`indicator_code`（指标代码：SM.POP.NETM、EN.URB.MCTY.TL.ZS、EN.URB.LCTY）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理日期：2026-04-15）。 ## 快速入门 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-world-bank-combined-indicators-for-burkina-faso") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ## 数据结构 | 列名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `country_name` | 字符串型 | 0.0% | 布基纳法索 | | `country_iso3` | 字符串型 | 0.0% | BFA | | `year` | 整数型 | 0.0% | 1960.0 – 2025.0（均值：2000.3486） | | `indicator_name` | 字符串型 | 0.0% | 私营部门国内信贷占GDP百分比、最大城市人口、净移民 | | `indicator_code` | 字符串型 | 0.0% | SM.POP.NETM、EN.URB.MCTY.TL.ZS、EN.URB.LCTY | | `value` | 浮点型 | 0.0% | -1417995712300.0 – 14497180266200.0（均值：67734791633.2004） | | `esa_source` | 字符串型 | 0.0% | HDX | | `esa_processed` | 字符串型 | 0.0% | 2026-04-15 | ## 数值型统计摘要 | 列名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `year` | 1960.0 | 2025.0 | 2000.3486 | 2003.0 | | `value` | -1417995712300.0 | 14497180266200.0 | 67734791633.2004 | 47.5507 | ## 数据整理流程 原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名已统一转换为小写并标准化为蛇形命名法。常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）已统一替换为`NaN`。已移除17264条完全重复的行。本数据集以固定随机种子（42）按80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。 ## 局限性 - 本数据集的原始数据来自世界银行集团，未经过Electric Sheep Africa的独立验证。 - 自动化清洗流程无法修正原始数据收集中的错报值、定义不一致或抽样偏差问题。 - 如需查看发布方提供的方法说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso)。 ## 引用 bibtex @dataset{hdx_africa_world_bank_combined_indicators_for_burkina_faso, title = {Burkina Faso - Economic, Social, Environmental, Health, Education, Development and Energy}, author = {World Bank Group}, year = {2026}, url = {https://data.humdata.org/dataset/world-bank-combined-indicators-for-burkina-faso}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*