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Standardize Electric Sheep Africa dataset card
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---
license: cc-by-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: monolingual
size_categories:
- 1K<n<10K
tags:
- "africa"
- "electric-sheep-africa"
- "open-data"
- "metadata-backed"
- "agriculture-food"
- "parquet"
- "tabular"
- "text"
- "faostat-fao"
- "land-inputs-and-sustainability"
- "faostat"
- "fao"
- "agriculture"
- "food-security"
- "time-series"
- "food"
pretty_name: "Fertilizers by Nutrient — Import quantity | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)"
---
# Fertilizers by Nutrient — Import quantity | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)
**Size category:** `1K<n<10K` - **Formats:** `parquet` - **Sector:** agriculture_food - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
![size](https://img.shields.io/badge/size-1K%3Cn%3C10K-blue)
![sector](https://img.shields.io/badge/sector-agriculture_food-green)
![downloads](https://img.shields.io/badge/HF_downloads-33-orange)
![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey)
## TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
## What This Dataset Covers
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
Dataset context from the existing Hugging Face card: Fertilizers by Nutrient — Import quantity | Africa (FAOSTAT) 🌍 8,467 observations · 53 Africa countries · 1961–2023 · Repackaged by Electric Sheep Africa TL;DR This dataset contains 8,467 observations of Land, Inputs and Sustainability data across 53 Africa countries, spanning 1961–2023, covering 3 distinct indicators. About the source Source: FAOSTAT (FAO) Publisher: Food and Agriculture Organization of the United Nations (FAO) License:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity.
## Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | [`electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity`](https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity) |
| Sector | agriculture_food |
| Topic tags | tabular, faostat-(fao), land,-inputs-and-sustainability, faostat, fao, agriculture, food-security, time-series |
| Modalities | `tabular`, `text` |
| Formats | `parquet` |
| Size category | `1K<n<10K` |
| Countries | Africa-wide or source-defined African coverage |
| ISO3 coverage | `not declared` |
| Last modified on HF | `2026-06-17 13:21:42+00:00` |
| Inventory snapshot | `2026-07-16T16:00:34Z` |
## How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
## Usage
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
```
### Convert To Pandas When Tabular
```python
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
```
## Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: country, upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
## Source And Provenance
- **Source context:** Electric Sheep Africa metadata inventory
- **Publisher/source attribution:** Public dataset metadata
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
- **Hugging Face URL:** [https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity](https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity)
- **Inventory retrieved at:** `2026-07-16T16:00:34Z`
## Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
## Citation
```bibtex
@misc{electric_sheep_africa_africa_fertilizers_by_nutrient_import_quantity_2026,
title = {Fertilizers by Nutrient — Import quantity | Africa (FAOSTAT) | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-fertilizers-by-nutrient-import-quantity}}
}
```
## License
Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
## About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
---
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: `catalog/esa_metadata_inventory/master_metadata.jsonl`.