Datasetpublic

letrinhan/vn-provinces-sugarcane-production

Vietnam provinces sugarcane production Sugarcane (mia) production (thousand tons). Coverage 2018-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system). Figures Hero Comparison Color key Files provinces (430 rows) data/provinces.csv data/provinces.dta data/provinces.xlsx… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-sugarcane-production.

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Dataset Card

Vietnam provinces sugarcane production

Sugarcane (mia) production (thousand tons). Coverage 2018-2024. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow arcore.vngeo (historical 63-province system).

Figures

Hero

[image]

Comparison

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Color key

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Files

provinces (430 rows)

—data/provinces.csv
—data/provinces.dta
—data/provinces.xlsx

regions (42 rows)

—data/regions.csv
—data/regions.dta
—data/regions.xlsx

national (7 rows)

—data/national.csv
—data/national.dta
—data/national.xlsx

Load

Stata:

stata

use "data/provinces.dta", clear

df <- read.csv("data/provinces.csv")

SPSS: open the .xlsx or .csv file.

Source

National Statistics Office of Vietnam (NSO/GSO). Original table title: San luong mia phan theo dia phuong. Cleaned long panel for research use.

Raw originals

Unmodified upstream source files are under raw/ for verification (see raw/README.md). Clean tables remain under data/.

Citation

bibtex

@misc{nso_vn_provinces_sugarcane_production,
  title = {Vietnam provinces sugarcane production},
  author = {{National Statistics Office of Vietnam}},
  note = {Unit: thousand tons.},
  year = {2024}
}

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