electricsheepafrica/africa-population-all
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接：
https://hf-mirror.com/datasets/electricsheepafrica/africa-population-all
下载链接
链接失效反馈官方服务：
资源简介：
---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- baseline-population
- dza
- ago
- ben
- bwa
- bfa
pretty_name: "Africa Total Migrants"
dataset_info:
splits:
- name: train
num_examples: 47
- name: test
num_examples: 11
---
# Africa Total Migrants
**Publisher:** United Nations Economic Commission for Africa · **Source:** [HDX](https://data.humdata.org/dataset/total-migrants-total-migrants) · **License:** `cc-by` · **Updated:** 2021-09-23
---
## Abstract
Total migrants in Africa.
Each row in this dataset represents geolocated point observations. Data was last updated on HDX on 2021-09-23. Geographic scope: **DZA, AGO, BEN, BWA, BFA, BDI, CPV, CMR, and 45 others**.
*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
---
## Dataset Characteristics
| | |
|---|---|
| **Domain** | Demographics and population |
| **Unit of observation** | Geolocated point observations |
| **Rows (total)** | 59 |
| **Columns** | 4 (0 numeric, 4 categorical, 0 datetime) |
| **Train split** | 47 rows |
| **Test split** | 11 rows |
| **Geographic scope** | DZA, AGO, BEN, BWA, BFA, BDI, CPV, CMR, and 45 others |
| **Publisher** | United Nations Economic Commission for Africa |
| **HDX last updated** | 2021-09-23 |
---
## Variables
**Geographic** — `population` (1-11. Total Migrants - Total Migrants, Seychelles, Malawi).
**Identifier / Metadata** — `unnamed_11` (Pays, Algérie, Malawi), `esa_source` (HDX), `esa_processed` (2026-04-21).
---
## Quick Start
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-population-all")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
```
---
## Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `population` | object | 1.7% | 1-11. Total Migrants - Total Migrants, Seychelles, Malawi |
| `unnamed_11` | object | 5.1% | Pays, Algérie, Malawi |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-21 |
---
## Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
_No numeric columns._
---
## 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`. 10 column(s) with >80% missing values were removed: `unnamed_1`, `unnamed_2`, `unnamed_3`, `unnamed_4`, `unnamed_5`, `unnamed_6`.... 4 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 United Nations Economic Commission for Africa and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- This dataset spans 53 countries; geographic and methodological inconsistencies across national boundaries may affect cross-country comparability.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/total-migrants-total-migrants) for the publisher's own methodology notes and caveats.
---
## Citation
```bibtex
@dataset{hdx_africa_population_all,
title = {Africa Total Migrants},
author = {United Nations Economic Commission for Africa},
year = {2021},
url = {https://data.humdata.org/dataset/total-migrants-total-migrants},
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.*
提供机构：
electricsheepafrica
