electricsheepafrica/africa-world-bank-infrastructure-indicators-for-comoros

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- facilities-infrastructure
- indicators
- com
pretty_name: "Comoros - Infrastructure"
dataset_info:
splits:
- name: train
num_examples: 828
- name: test
num_examples: 207
---

# Comoros - Infrastructure

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-comoros) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-comoros) on HDX.

Infrastructure helps determine the success of manufacturing and agricultural activities. Investments in water, sanitation, energy, housing, and transport also improve lives and help reduce poverty. And new information and communication technologies promote growth, improve delivery of health and other services, expand the reach of education, and support social and cultural advances. Data here are compiled from such sources as the International Road Federation, Containerisation International, the International Civil Aviation Organization, the International Energy Association, and the International Telecommunications Union.

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

*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)** | 1,036 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 828 rows |
| **Test split** | 207 rows |
| **Geographic scope** | COM |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Comoros), `country_iso3` (COM), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range 0.0–9891657742.0).

**Identifier / Metadata** — `indicator_name` (Fixed telephone subscriptions, Fixed telephone subscriptions (per 100 people), Renewable internal freshwater resources, total (billion cubic meters)), `indicator_code` (IT.MLT.MAIN, IT.MLT.MAIN.P2, ER.H2O.INTR.K3), `esa_source` (HDX), `esa_processed` (2026-04-16).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-infrastructure-indicators-for-comoros")
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% | Comoros |
| `country_iso3` | object | 0.0% | COM |
| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 2001.4122) |
| `indicator_name` | object | 0.0% | Fixed telephone subscriptions, Fixed telephone subscriptions (per 100 people), Renewable internal freshwater resources, total (billion cubic meters) |
| `indicator_code` | object | 0.0% | IT.MLT.MAIN, IT.MLT.MAIN.P2, ER.H2O.INTR.K3 |
| `value` | float64 | 0.0% | 0.0 – 9891657742.0 (mean 94884691.961) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-16 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 2001.4122 | 2005.0 |
| `value` | 0.0 | 9891657742.0 | 94884691.961 | 5.0 |

---

## 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`. 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-infrastructure-indicators-for-comoros) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_infrastructure_indicators_for_comoros,
title = {Comoros - Infrastructure},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-comoros},
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:
- 爬取获取
language:
- 英语
license: cc-by-4.0
multilinguality:
- 单语言
size_categories:
- 1000<样本数<10000
source_datasets:
- 原创数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 设施与基础设施
- 指标
- COM
pretty_name: "科摩罗——基础设施"
dataset_info:
splits:
- name: 训练集
num_examples: 828
- name: 测试集
num_examples: 207

# 科摩罗——基础设施

**发布方：世界银行集团 · 来源：[HDX](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-comoros) · 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/)的相关数据。此外，HDX平台上还发布有一份科摩罗综合国家数据集（https://data.humdata.org/dataset/world-bank-combined-indicators-for-comoros）。

基础设施水平是制造业与农业活动成败的关键影响因素。在供水、卫生、能源、住房与交通领域的投资，不仅能够改善民众生活，还可助力减贫事业。新兴信息与通信技术则能够推动经济增长，优化医疗及其他服务的供给，拓展教育覆盖范围，并助力社会与文化进步。本数据集的数据源自国际道路联合会、国际集装箱化期刊、国际民用航空组织、国际能源署以及国际电信联盟等机构。

本数据集的每一行均代表国家层面的汇总统计数据。数据最近一次在HDX平台更新的时间为2026年3月27日。地理覆盖范围：**COM**。

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

---

## 数据集特征

| | |
|---|---|
| **领域** | 公共卫生 |
| **观测单元** | 国家层面汇总数据 |
| **总行数** | 1,036 |
| **列数** | 8列（2个数值型、6个分类型、0个日期时间型） |
| **训练集拆分** | 828行 |
| **测试集拆分** | 207行 |
| **地理覆盖范围** | COM |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026年3月27日 |

---

## 变量说明

**地理类变量** — `country_name`（科摩罗）、`country_iso3`（COM）、`year`（取值范围1960.0–2024.0）。

**结果/测量类变量** — `value`（取值范围0.0–9891657742.0）。

**标识符/元数据类变量** — `indicator_name`（固定电话订阅量、固定电话订阅密度（每百人）、可再生内陆淡水资源总量（十亿立方米））、`indicator_code`（IT.MLT.MAIN、IT.MLT.MAIN.P2、ER.H2O.INTR.K3）、`esa_source`（HDX）、`esa_processed`（2026-04-16）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-infrastructure-indicators-for-comoros")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据架构

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符型 | 0.0% | 科摩罗 |
| `country_iso3` | 字符型 | 0.0% | COM |
| `year` | 64位整型 | 0.0% | 1960.0 – 2024.0（均值2001.4122） |
| `indicator_name` | 字符型 | 0.0% | 固定电话订阅量、固定电话订阅密度（每百人）、可再生内陆淡水资源总量（十亿立方米） |
| `indicator_code` | 字符型 | 0.0% | IT.MLT.MAIN、IT.MLT.MAIN.P2、ER.H2O.INTR.K3 |
| `value` | 64位浮点型 | 0.0% | 0.0 – 9891657742.0（均值94884691.961） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-16 |

---

## 数值统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 2001.4122 | 2005.0 |
| `value` | 0.0 | 9891657742.0 | 94884691.961 | 5.0 |

---

## 数据整理流程

原始数据通过CKAN应用程序编程接口（CKAN API）从HDX平台下载，并转换为Parquet格式。列名均转换为小写，并标准化为蛇形命名法（snake_case）。常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。本数据集以固定随机种子（42）按照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。

---

## 局限性说明

- 本数据集的数据源自世界银行集团，未由Electric Sheep Africa（以下简称ESA）进行独立验证。
- 自动化数据清洗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。
- 如需了解发布方的方法说明与免责条款，请参阅[HDX平台原始数据集页面](https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-comoros)。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_infrastructure_indicators_for_comoros,
title = {Comoros - Infrastructure},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-infrastructure-indicators-for-comoros},
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提供商，尼日利亚拉各斯。*