electricsheepafrica/africa-world-bank-trade-indicators-for-chad

---
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
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- indicators
- trade
- tcd
pretty_name: "Chad - Trade"
dataset_info:
splits:
- name: train
num_examples: 2839
- name: test
num_examples: 709
---

# Chad - Trade

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-trade-indicators-for-chad) · **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-chad) on HDX.

Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies.

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

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Poverty and economic vulnerability |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 3,549 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 2,839 rows |
| **Test split** | 709 rows |
| **Geographic scope** | TCD |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Chad), `country_iso3` (TCD), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -2016395169.585–3471642655377.15).

**Identifier / Metadata** — `indicator_name` (Exports of goods and services (current US$), Merchandise exports (current US$), Merchandise imports (current US$)), `indicator_code` (NE.EXP.GNFS.CD, TX.VAL.MRCH.CD.WT, TM.VAL.MRCH.CD.WT), `esa_source` (HDX), `esa_processed` (2026-04-15).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-trade-indicators-for-chad")
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% | Chad |
| `country_iso3` | object | 0.0% | TCD |
| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 1994.2916) |
| `indicator_name` | object | 0.0% | Exports of goods and services (current US$), Merchandise exports (current US$), Merchandise imports (current US$) |
| `indicator_code` | object | 0.0% | NE.EXP.GNFS.CD, TX.VAL.MRCH.CD.WT, TM.VAL.MRCH.CD.WT |
| `value` | float64 | 0.0% | -2016395169.585 – 3471642655377.15 (mean 22272466958.29) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-15 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1994.2916 | 1994.0 |
| `value` | -2016395169.585 | 3471642655377.15 | 22272466958.29 | 18.4288 |

---

## 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-trade-indicators-for-chad) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_trade_indicators_for_chad,
title = {Chad - Trade},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-trade-indicators-for-chad},
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
annotations_creators:
- 无标注（no-annotation）
language_creators:
- 现有资源采集（found）
language:
- 英语（en）
license:
- 知识共享署名4.0协议（cc-by-4.0）
multilinguality:
- 单语言（monolingual）
size_categories:
- 1000 < 样本量 < 10000
source_datasets:
- 原始数据集（original）
task_categories:
- 表格分类（tabular-classification）
- 表格回归（tabular-regression）
task_ids:
- 无
tags:
- 非洲（africa）
- 人道主义（humanitarian）
- 人道主义数据交换（HDX）
- 电羊非洲（electric-sheep-africa）
- 指标（indicators）
- 贸易（trade）
- 乍得（tcd）
pretty_name: "乍得——贸易数据集"

dataset_info:
splits:
- name: 训练集（train）
num_examples: 2839
- name: 测试集（test）
num_examples: 709

# 乍得——贸易数据集

**发布方**：世界银行集团（World Bank Group） · **数据来源**：[人道主义数据交换HDX](https://data.humdata.org/dataset/world-bank-trade-indicators-for-chad) · **许可协议**：`cc-by` · **最后更新时间**：2026-03-27

---

## 摘要
本数据集数据源自世界银行[官方数据门户](http://data.worldbank.org/)。人道主义数据交换HDX平台上另有一份[乍得综合国家指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-chad)。

贸易是消除贫困、实现千年发展目标的核心途径，具体可通过改善发展中国家的市场准入条件，以及支持基于规则的可预测贸易体系来达成。世界银行与其他国际发展伙伴合作，发起了贸易透明度倡议（Transparency in Trade Initiative），旨在免费、便捷地提供各国特定贸易政策的相关数据。

本数据集的每一行均代表国家级汇总数据。数据在HDX平台的最后更新时间为2026-03-27。地理覆盖范围：**乍得（TCD）**。

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

---

## 数据集特征
| | |
|---|---|
| **领域** | 贫困与经济脆弱性 |
| **观测单元** | 国家级汇总数据 |
| **总样本行数** | 3549 |
| **列数** | 8（2列数值型，6列分类型，0列日期型） |
| **训练集样本数** | 2839 |
| **测试集样本数** | 709 |
| **地理覆盖范围** | 乍得（TCD） |
| **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：乍得）、`country_iso3`（国家ISO3代码：TCD）、`year`（年份范围：1960.0–2024.0）。
**结果/测量类字段**：`value`（贸易值范围：-2016395169.585–3471642655377.15）。
**标识/元数据字段**：`indicator_name`（指标名称：商品和服务出口（现价美元）、商品出口（现价美元）、商品进口（现价美元））、`indicator_code`（指标代码：NE.EXP.GNFS.CD、TX.VAL.MRCH.CD.WT、TM.VAL.MRCH.CD.WT）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理日期：2026-04-15）。

---

## 快速上手
以下代码可快速加载本数据集：
python
from datasets import load_dataset

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

print(train.shape)
train.head()

---

## 数据Schema
| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型（object） | 0.0% | 乍得（Chad） |
| `country_iso3` | 字符串型（object） | 0.0% | 乍得ISO3代码（TCD） |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2024.0（均值1994.2916） |
| `indicator_name` | 字符串型（object） | 0.0% | 商品和服务出口（现价美元）、商品出口（现价美元）、商品进口（现价美元） |
| `indicator_code` | 字符串型（object） | 0.0% | NE.EXP.GNFS.CD、TX.VAL.MRCH.CD.WT、TM.VAL.MRCH.CD.WT |
| `value` | 64位浮点型（float64） | 0.0% | -2016395169.585 – 3471642655377.15（均值22272466958.29） |
| `esa_source` | 字符串型（object） | 0.0% | HDX |
| `esa_processed` | 字符串型（object） | 0.0% | 2026-04-15 |

---

## 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 | 2024.0 | 1994.2916 | 1994.0 |
| `value` | -2016395169.585 | 3471642655377.15 | 22272466958.29 | 18.4288 |

---

## 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。列名统一转换为小写并标准化为蛇形命名法。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）均统一替换为`NaN`。本数据集以固定随机种子（42）按80/20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。

---

## 数据集局限性
- 数据源自世界银行集团，未经电羊非洲（ESA）独立验证。
- 自动化清洗流程无法修正原始数据集中的错报值、定义不一致或采样偏差问题。
- 如需查看发布方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-trade-indicators-for-chad)。

---

## 引用格式
可使用以下BibTeX格式引用本数据集：
bibtex
@dataset{hdx_africa_world_bank_trade_indicators_for_chad,
title = {Chad - Trade},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-trade-indicators-for-chad},
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。*