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electricsheepafrica/africa-mauritius-area-harvested-cane-production-cane-yield-metayers-and-own-3f0a3d20

Area Harvested Cane Production Cane Yield Metayers and Own | Africa (MDPA) 80 rows - 1 Africa country/area - 1967 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 80 rows from MDPA, covering Area Harvested Cane Production Cane Yield Metayers and Own. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-area-harvested-cane-production-cane-yield-metayers-and-own-3f0a3d20.

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Dataset Card

Area Harvested Cane Production Cane Yield Metayers and Own | Africa (MDPA)

80 rows - 1 Africa country/area - 1967 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 80 rows from MDPA, covering Area Harvested Cane Production Cane Yield Metayers and Own. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Agriculture datasets help analysts examine production, prices, inputs, land use, food systems, and rural economic activity.

Source-provided context: Dataset shows the Area Harvested, Cane Production, Cane Yield for Estates, Metayers and Owner/Planters in Mauritius for the year 2000 to 2023

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows80
Countries/areas1
First period1967
Last period1967
Indicators0
Columns57
Source formatXLS

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
MU8019671967Mauritius

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.4f6184d7-9c72-4be7-877f-83875603657a:explanations:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.MU
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Mauritius
source_sheetstringSource column from the original resource.Explanations
yearint64Observation year.1967
d_1_concepts_and_definitionsstringSource column from the original resource.``
agricultural_statistics_is_compiled_as_far_as_possible_astringSource column from the original resource.http://statsmauritius.govmu.org/English/StatsbySubj/Documents/Digest/...
source_period_start_yearint64Start year inferred from source metadata.1967
source_period_end_yearint64End year inferred from source metadata.1967
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.1967
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Area Harvested, Cane Production, Cane Yield, Metayers and Owner for M...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Source File.xls
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.56e6659b-1967-4e20-bedb-c1fc920231c3
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.4f6184d7-9c72-4be7-877f-83875603657a
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/56e6659b-1967-4e20-bedb-c1fc920231c3/r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-08T16:26:20Z
1975doubleSource column from the original resource.``
d_44046doubleSource column from the original resource.``
d_2210doubleSource column from the original resource.``
d_33733doubleSource column from the original resource.``
d_79989doubleSource column from the original resource.``
d_2783doubleSource column from the original resource.``
d_75doubleSource column from the original resource.``
d_1458doubleSource column from the original resource.``
d_4316doubleSource column from the original resource.``
d_63_18394405848431doubleSource column from the original resource.``
d_33_93665158371041doubleSource column from the original resource.``
d_43_22177096611626doubleSource column from the original resource.``
d_53_957419145132455doubleSource column from the original resource.``
2012stringSource column from the original resource.``
d_27999doubleSource column from the original resource.``
d_573doubleSource column from the original resource.``
d_25569doubleSource column from the original resource.``
d_54140doubleSource column from the original resource.``
d_2244doubleSource column from the original resource.``
d_26doubleSource column from the original resource.``
d_1677doubleSource column from the original resource.``
d_3947doubleSource column from the original resource.``
d_80_2doubleSource column from the original resource.``
d_45_7doubleSource column from the original resource.``
d_65_6doubleSource column from the original resource.``
d_72_9doubleSource column from the original resource.``
2014stringSource column from the original resource.``
d_26422doubleSource column from the original resource.``
d_623doubleSource column from the original resource.``
d_23648doubleSource column from the original resource.``
d_50694doubleSource column from the original resource.``
d_2309doubleSource column from the original resource.``
d_32doubleSource column from the original resource.``
d_1703doubleSource column from the original resource.``
d_4044doubleSource column from the original resource.``
d_87_4doubleSource column from the original resource.``
d_52doubleSource column from the original resource.``
d_72doubleSource column from the original resource.``
d_79_8doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-area-harvested-cane-production-cane-yield-metayers-and-own-3f0a3d20")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Track production or price movements
  • —Compare regions or commodities
  • —Join with climate and trade data
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_mauritius_area_harvested_cane_production_cane_yield_metayers_and_own_3f0a_1967,
  title        = {Area Harvested Cane Production Cane Yield Metayers and Own | Africa (MDPA)},
  author       = {MDPA},
  year         = {1967},
  url          = {https://data.govmu.org/dataset/area-harvested-cane-production-cane-yield-metayers-and-owner-for-mauritius-2000-to-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-area-harvested-cane-production-cane-yield-metayers-and-own-3f0a3d20}}
}

License

Released under CC BY 4.0.

Original data is published by MDPA. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/area-harvested-cane-production-cane-yield-metayers-and-owner-for-mauritius-2000-to-2023