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

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

Dimension	Value
Rows	80
Countries/areas	1
First period	1967
Last period	1967
Indicators	0
Columns	57
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	80	1967	1967	Mauritius

Indicators, Variables, Or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	4f6184d7-9c72-4be7-877f-83875603657a:explanations:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MU
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mauritius
source_sheet	string	Source column from the original resource.	Explanations
year	int64	Observation year.	1967
d_1_concepts_and_definitions	string	Source column from the original resource.	``
agricultural_statistics_is_compiled_as_far_as_possible_a	string	Source column from the original resource.	http://statsmauritius.govmu.org/English/StatsbySubj/Documents/Digest/...
source_period_start_year	int64	Start year inferred from source metadata.	1967
source_period_end_year	int64	End year inferred from source metadata.	1967
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1967
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	MDPA
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Area Harvested, Cane Production, Cane Yield, Metayers and Owner for M...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source File.xls
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	56e6659b-1967-4e20-bedb-c1fc920231c3
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	4f6184d7-9c72-4be7-877f-83875603657a
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/56e6659b-1967-4e20-bedb-c1fc920231c3/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-08T16:26:20Z
1975	double	Source column from the original resource.	``
d_44046	double	Source column from the original resource.	``
d_2210	double	Source column from the original resource.	``
d_33733	double	Source column from the original resource.	``
d_79989	double	Source column from the original resource.	``
d_2783	double	Source column from the original resource.	``
d_75	double	Source column from the original resource.	``
d_1458	double	Source column from the original resource.	``
d_4316	double	Source column from the original resource.	``
d_63_18394405848431	double	Source column from the original resource.	``
d_33_93665158371041	double	Source column from the original resource.	``
d_43_22177096611626	double	Source column from the original resource.	``
d_53_957419145132455	double	Source column from the original resource.	``
2012	string	Source column from the original resource.	``
d_27999	double	Source column from the original resource.	``
d_573	double	Source column from the original resource.	``
d_25569	double	Source column from the original resource.	``
d_54140	double	Source column from the original resource.	``
d_2244	double	Source column from the original resource.	``
d_26	double	Source column from the original resource.	``
d_1677	double	Source column from the original resource.	``
d_3947	double	Source column from the original resource.	``
d_80_2	double	Source column from the original resource.	``
d_45_7	double	Source column from the original resource.	``
d_65_6	double	Source column from the original resource.	``
d_72_9	double	Source column from the original resource.	``
2014	string	Source column from the original resource.	``
d_26422	double	Source column from the original resource.	``
d_623	double	Source column from the original resource.	``
d_23648	double	Source column from the original resource.	``
d_50694	double	Source column from the original resource.	``
d_2309	double	Source column from the original resource.	``
d_32	double	Source column from the original resource.	``
d_1703	double	Source column from the original resource.	``
d_4044	double	Source column from the original resource.	``
d_87_4	double	Source column from the original resource.	``
d_52	double	Source column from the original resource.	``
d_72	double	Source column from the original resource.	``
d_79_8	double	Source column from the original resource.	``

Usage

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

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

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

• Source: MDPA
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: Source File.xls
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:41:03Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-area-harvested-cane-production-cane-yield-metayers-and-own-3f0a3d20

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

@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.

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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