Datasets:

electricsheepafrica
/

africa-comtrade-cabo-verde-imports-by-partner

	---
	license: other
	language:
	- en
	task_categories:
	- tabular-classification
	- tabular-regression
	- time-series-forecasting
	multilinguality: monolingual
	size_categories:
	- 1K<n<10K
	tags:
	- tabular
	- africa
	- un-comtrade
	- international-merchandise-trade
	- trade
	- exports-imports
	- hs
	- bilateral
	- time-series
	pretty_name: "Cabo Verde — Imports by Trading Partner \| Africa (UN Comtrade)"
	---

	# Cabo Verde — Imports by Trading Partner \| Africa (UN Comtrade)

	🌍 3,208 observations · 1 Africa countries · 2000–2023 · Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

	![rows](https://img.shields.io/badge/rows-3,208-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2000–2023-orange) ![indicators](https://img.shields.io/badge/indicators-214-purple) ![license](https://img.shields.io/badge/license-other-lightgrey)

	## TL;DR

	This dataset contains 3,208 observations of `International merchandise trade` data across 1 Africa countries, spanning 2000–2023, covering 214 distinct indicators.

	## About the source

	- Source: [UN Comtrade](https://comtradeplus.un.org/)
	- Publisher: United Nations Statistics Division (UN Comtrade)
	- License: [other](https://comtradeplus.un.org/TermsOfUse)
	- Topic: International merchandise trade

	## Geographic coverage

	1 Africa countries · top rows shown below, sorted by row count:

	\| Country \| Rows \| First year \| Last year \|
	\|---------\|-----:\|-----------:\|----------:\|
	\| `Cabo Verde` \| 3,208 \| 2000 \| 2023 \|

	## Indicators (sample)

	- `Afghanistan` — Afghanistan
	- `Albania` — Albania
	- `Algeria` — Algeria
	- `American Samoa` — American Samoa
	- `Andorra` — Andorra
	- `Angola` — Angola
	- `Anguilla` — Anguilla
	- `Antarctica` — Antarctica
	- `Antigua and Barbuda` — Antigua and Barbuda
	- `Areas, nes` — Areas, nes
	- _... and 204 more indicators_

	## Schema

	\| Column \| Type \| Description \| Example \|
	\|--------\|------\|-------------\|---------\|
	\| `country_name` \| `string` \| — \| `Cabo Verde` \|
	\| `country_iso3` \| `string` \| — \| `CPV` \|
	\| `partner_name` \| `string` \| — \| `Angola` \|
	\| `partner_iso3` \| `string` \| — \| `AGO` \|
	\| `year` \| `int64` \| — \| `2000` \|
	\| `flow` \| `string` \| — \| `imports` \|
	\| `trade_value_usd` \| `float64` \| — \| `3106.0` \|

	## Usage

	```python
	from datasets import load_dataset

	ds = load_dataset("electricsheepafrica/africa-comtrade-cabo-verde-imports-by-partner")
	df = ds["train"].to_pandas()
	print(df.head())
	```

	### Filter to one country

	```python
	kenya = df[df["country_name"] == "KEN"]
	```

	### Time-series for a single indicator

	```python
	sample = (df[df["partner_name"] == "Angola"]
	.sort_values("year"))
	sample.plot(x="year", y="trade_value_usd", title="Angola")
	```

	### Pivot to country × year matrix

	```python
	matrix = (df[df["partner_name"] == "Angola"]
	.pivot_table(index="year", columns="country_name", values="trade_value_usd"))
	print(matrix.tail())
	```

	## Citation

	```bibtex
	@misc{africa_comtrade_cabo_verde_imports_by_partner_2023,
	title = {Cabo Verde — Imports by Trading Partner \| Africa (UN Comtrade)},
	author = {United Nations Statistics Division (UN Comtrade)},
	year = {2023},
	url = {https://comtradeplus.un.org/},
	publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
	howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-comtrade-cabo-verde-imports-by-partner}}
	}
	```

	## License

	Released under [other](https://comtradeplus.un.org/TermsOfUse).

	Original data © United Nations Statistics Division (UN Comtrade). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

	## About Electric Sheep

	Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds.

	Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)

	---

	_Provenance: ingested 2026-06-17 via the Electric Sheep pipeline. Source URL: https://comtradeplus.un.org/_