Datasetpublic

electricsheepasia/asia-faostat-fertilizers-by-nutrient-rfn

Fertilizers by Nutrient — Asia Source: FAOSTAT — Fertilizers by Nutrient Domain code: RFN Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 44 Asian countries · 1961–2023 · 43,337 rows Items: 3 · Elements: 7 About FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Fertilizers by Nutrient domain filtered to all… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-faostat-fertilizers-by-nutrient-rfn.

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face

0likes11downloads

Dataset Card

Fertilizers by Nutrient — Asia

Source: FAOSTAT — Fertilizers by Nutrient Domain code: RFN Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 44 Asian countries · 1961–2023 · 43,337 rows Items: 3 · Elements: 7

About

FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Fertilizers by Nutrient domain filtered to all available Asian countries, repackaged in ML-ready Parquet format by Electric Sheep Asia.

Schema

Column	Type
`Domain Code`	object
`Domain`	object
`Area Code`	int64
`Area`	object
`Element Code`	int64
`Element`	object
`Item Code`	int64
`Item`	object
`Year Code`	int64
`Year`	object
`Unit`	object
`Value`	float64

Usage

python

from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-faostat-rfn")
df = ds["train"].to_pandas()

Citation

@misc{faostat_rfn_asia,
  title     = {Fertilizers by Nutrient — Asia},
  author    = {Food and Agriculture Organization of the United Nations},
  year      = {2023},
  url       = {https://www.fao.org/faostat/en/#data/RFN},
  note      = {Repackaged by Electric Sheep Asia}
}

License

CC BY 4.0 — FAO open data.