Datasetpublic

electricsheepasia/asia-faostat-country-investment-statistics-profile-cisp

Country Investment Statistics Profile — Asia Source: FAOSTAT — Country Investment Statistics Profile Domain code: CISP Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 43 Asian countries · 2001–2024 · 12,998 rows Items: 6 · Elements: 8 About FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Country Investment… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-faostat-country-investment-statistics-profile-cisp.

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

0likes22downloads

Dataset Card

Country Investment Statistics Profile — Asia

Source: FAOSTAT — Country Investment Statistics Profile Domain code: CISP Publisher: Food and Agriculture Organization of the United Nations (FAO) Coverage: 43 Asian countries · 2001–2024 · 12,998 rows Items: 6 · Elements: 8

About

FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries, forestry, and rural development. This dataset contains the Country Investment Statistics Profile 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-cisp")
df = ds["train"].to_pandas()

Citation

@misc{faostat_cisp_asia,
  title     = {Country Investment Statistics Profile — Asia},
  author    = {Food and Agriculture Organization of the United Nations},
  year      = {2024},
  url       = {https://www.fao.org/faostat/en/#data/CISP},
  note      = {Repackaged by Electric Sheep Asia}
}

License

CC BY 4.0 — FAO open data.