electricsheepafrica/africa-world-bank-combined-indicators-for-guinea-bissau

---
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
- gnb
pretty_name: "Guinea-Bissau - Economic, Social, Environmental, Health, Education, Development and Energy"
dataset_info:
splits:
- name: train
num_examples: 36722
- name: test
num_examples: 9180
---

# Guinea-Bissau - Economic, Social, Environmental, Health, Education, Development and Energy

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea-bissau) · **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-guinea-bissau), [Aid Effectiveness](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea-bissau), [Economy and Growth](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-guinea-bissau), [Education](https://data.humdata.org/dataset/world-bank-education-indicators-for-guinea-bissau), [Energy and Mining](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-guinea-bissau), [Environment](https://data.humdata.org/dataset/world-bank-environment-indicators-for-guinea-bissau), [Financial Sector](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-guinea-bissau), [Health](https://data.humdata.org/dataset/world-bank-health-indicators-for-guinea-bissau), [Infrastructure](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-guinea-bissau), [Social Protection and Labor](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-guinea-bissau), [Poverty](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-guinea-bissau), [Private Sector](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-guinea-bissau), [Public Sector](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-guinea-bissau), [Science and Technology](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-guinea-bissau), [Social Development](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea-bissau), [Urban Development](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-guinea-bissau), [Gender](https://data.humdata.org/dataset/world-bank-gender-indicators-for-guinea-bissau), [Millenium development goals](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-guinea-bissau), [Climate Change](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-guinea-bissau), [External Debt](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-guinea-bissau), [Trade](https://data.humdata.org/dataset/world-bank-trade-indicators-for-guinea-bissau).

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **GNB**.

*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)** | 45,903 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 36,722 rows |
| **Test split** | 9,180 rows |
| **Geographic scope** | GNB |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Guinea-Bissau), `country_iso3` (GNB), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -243192214900.0–1548385380600.0).

**Identifier / Metadata** — `indicator_name` (Domestic credit to private sector (% of GDP), Net migration, Population in largest city), `indicator_code` (EN.URB.LCTY.UR.ZS, SM.POP.NETM, EN.URB.LCTY), `esa_source` (HDX), `esa_processed` (2026-04-10).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-combined-indicators-for-guinea-bissau")
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% | Guinea-Bissau |
| `country_iso3` | object | 0.0% | GNB |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 2001.4897) |
| `indicator_name` | object | 0.0% | Domestic credit to private sector (% of GDP), Net migration, Population in largest city |
| `indicator_code` | object | 0.0% | EN.URB.LCTY.UR.ZS, SM.POP.NETM, EN.URB.LCTY |
| `value` | float64 | 0.0% | -243192214900.0 – 1548385380600.0 (mean 8153427311.6075) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 2001.4897 | 2004.0 |
| `value` | -243192214900.0 | 1548385380600.0 | 8153427311.6075 | 53.0 |

---

## 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`. 13,977 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-guinea-bissau) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_combined_indicators_for_guinea_bissau,
title = {Guinea-Bissau - 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-guinea-bissau},
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.*

annotations_creators:
- 无标注
language_creators:
- 现有数据采集
language:
- 英语
license: CC-BY-4.0（知识共享署名4.0国际许可协议）
multilinguality:
- 单语言
size_categories:
- 10000条<数据量<100000条
source_datasets:
- 原创数据集
task_categories:
- 表格分类任务
task_ids: []
tags:
- 非洲
- 人道主义
- HDX（Humanitarian Data Exchange）
- 电羊非洲（Electric Sheep Africa）
- 农业与畜牧业
- 援助有效性
- 气候与气象
- 发展
- 经济学
- 教育
- 能源
- 环境
- GNB（几内亚比绍国家代码）
pretty_name: "几内亚比绍——经济、社会、环境、卫生、教育、发展与能源数据集"
dataset_info:
splits:
- name: train
num_examples: 36722
- name: test
num_examples: 9180

# 几内亚比绍——经济、社会、环境、卫生、教育、发展与能源数据集

**发布方**：世界银行集团 · **来源**：[HDX（Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea-bissau) · **许可协议**：`cc-by` · **更新时间**：2026-03-27

---

## 摘要

本数据集收录了来自世界银行[数据门户](http://data.worldbank.org/)的多维度数据，涵盖以下主题，这些主题在HDX上亦有独立的子数据集：[农业与农村发展](https://data.humdata.org/dataset/world-bank-agriculture-and-rural-development-indicators-for-guinea-bissau)、[援助有效性](https://data.humdata.org/dataset/world-bank-aid-effectiveness-indicators-for-guinea-bissau)、[经济与增长](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-guinea-bissau)、[教育](https://data.humdata.org/dataset/world-bank-education-indicators-for-guinea-bissau)、[能源与矿业](https://data.humdata.org/dataset/world-bank-energy-and-mining-indicators-for-guinea-bissau)、[环境](https://data.humdata.org/dataset/world-bank-environment-indicators-for-guinea-bissau)、[金融部门](https://data.humdata.org/dataset/world-bank-financial-sector-indicators-for-guinea-bissau)、[卫生](https://data.humdata.org/dataset/world-bank-health-indicators-for-guinea-bissau)、[基础设施](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-guinea-bissau)、[社会保护与劳动](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-guinea-bissau)、[贫困](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-guinea-bissau)、[私营部门](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-guinea-bissau)、[公共部门](https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-guinea-bissau)、[科学与技术](https://data.humdata.org/dataset/world-bank-science-and-technology-indicators-for-guinea-bissau)、[社会发展](https://data.humdata.org/dataset/world-bank-social-development-indicators-for-guinea-bissau)、[城市发展](https://data.humdata.org/dataset/world-bank-urban-development-indicators-for-guinea-bissau)、[性别平等](https://data.humdata.org/dataset/world-bank-gender-indicators-for-guinea-bissau)、[千年发展目标](https://data.humdata.org/dataset/world-bank-millenium-development-goals-indicators-for-guinea-bissau)、[气候变化](https://data.humdata.org/dataset/world-bank-climate-change-indicators-for-guinea-bissau)、[外债](https://data.humdata.org/dataset/world-bank-external-debt-indicators-for-guinea-bissau)、[贸易](https://data.humdata.org/dataset/world-bank-trade-indicators-for-guinea-bissau)。

每一行均代表几内亚比绍的国家级汇总数据。最新更新已于2026年3月27日同步至HDX平台。地理覆盖范围：**GNB（几内亚比绍国家代码）**。

*本数据集已由[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica)整理为适配机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家级汇总数据 |
| **总行数** | 45,903 |
| **列数** | 8（2个数值型、6个分类型、0个日期型） |
| **训练集划分** | 36,722条数据 |
| **测试集划分** | 9,180条数据 |
| **地理覆盖范围** | GNB |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |

---

## 变量说明

**地理类字段**：`country_name`（国家名称：几内亚比绍）、`country_iso3`（国家ISO3代码：GNB）、`year`（年份范围：1960.0–2025.0）。
**结果/测量类字段**：`value`（指标数值范围：-243192214900.0–1548385380600.0）。
**标识符/元数据类字段**：`indicator_name`（指标名称，例如：私人部门国内信贷占GDP比重、净移民、最大城市人口）、`indicator_code`（指标代码，例如：EN.URB.LCTY.UR.ZS、SM.POP.NETM、EN.URB.LCTY）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-10）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-combined-indicators-for-guinea-bissau")
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 | 缺失率 | 范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型 | 0.0% | 几内亚比绍 |
| `country_iso3` | 字符串型 | 0.0% | GNB |
| `year` | 64位整型 | 0.0% | 1960.0 – 2025.0（均值：2001.4897） |
| `indicator_name` | 字符串型 | 0.0% | 私人部门国内信贷占GDP比重、净移民、最大城市人口 |
| `indicator_code` | 字符串型 | 0.0% | EN.URB.LCTY.UR.ZS、SM.POP.NETM、EN.URB.LCTY |
| `value` | 64位浮点型 | 0.0% | -243192214900.0 – 1548385380600.0（均值：8153427311.6075） |
| `esa_source` | 字符串型 | 0.0% | HDX |
| `esa_processed` | 字符串型 | 0.0% | 2026-04-10 |

---

## 数值型字段统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 2001.4897 | 2004.0 |
| `value` | -243192214900.0 | 1548385380600.0 | 8153427311.6075 | 53.0 |

---

## 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。所有列名均转为小写并标准化为蛇形命名法。将常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。移除了13,977条完全重复的行。采用固定随机种子（42）按80/20比例划分为训练集与测试集，并以Snappy压缩格式保存为Parquet文件。

---

## 数据集局限性

- 数据源自世界银行集团，未经过电羊非洲的独立验证。
- 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。
- 请参阅[HDX原始数据集页面](https://data.humdata.org/dataset/world-bank-combined-indicators-for-guinea-bissau)获取发布方提供的方法说明与注意事项。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_combined_indicators_for_guinea_bissau,
title = {Guinea-Bissau - 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-guinea-bissau},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[电羊非洲（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。*