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electricsheepafrica/africa-mauritius-area-harvested-and-production-of-food-crops-island-of-maur-1a2d74f3

Area Harvested and Production of Food Crops Island of Maur | Africa (MDPA) 38 rows - 1 Africa country/area - 1980-2017 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 38 rows from MDPA, covering Area Harvested and Production of Food Crops Island of Maur. 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-and-production-of-food-crops-island-of-maur-1a2d74f3.

sourceHugging Facecc-by-sa-4.0updated 2mo agoView on Hugging Face
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Dataset Card

Area Harvested and Production of Food Crops Island of Maur | Africa (MDPA)

38 rows - 1 Africa country/area - 1980-2017 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 38 rows from MDPA, covering Area Harvested and Production of Food Crops Island of Maur. 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: Area harvested and production of food crops, Island of Mauritius, 1980-2017

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: not detected.
  • —Time coverage basis: source metadata.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows38
Countries/areas1
First period1980
Last period2017
Indicators0
Columns94
Source formatXLS

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU3819802017Mauritius

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.d785a18f-9a6f-4d81-a222-5cf0d5061f28: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
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.1980
source_period_end_yearint64End year inferred from source metadata.2017
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.1980-2017
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 and production of food crops, Island of Mauritius, 198...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Source_Area_harvested_and_production_of_food_crops-IOM-1980-2017.xls
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.97bda7b5-dd9f-4bd2-894d-970f5b70ab22
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.d785a18f-9a6f-4d81-a222-5cf0d5061f28
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/97bda7b5-dd9f-4bd2-894d-970f5b70ab22/r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.CC-BY-SA-4.0
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-08T16:26:20Z
courgettestringSource column from the original resource.``
nadoubleSource column from the original resource.``
na_2doubleSource column from the original resource.``
na_3doubleSource column from the original resource.``
na_4doubleSource column from the original resource.``
na_5doubleSource column from the original resource.``
na_6doubleSource column from the original resource.``
na_7doubleSource column from the original resource.``
na_8doubleSource column from the original resource.``
na_9doubleSource column from the original resource.``
na_10doubleSource column from the original resource.``
na_11doubleSource column from the original resource.``
na_12doubleSource column from the original resource.``
na_13doubleSource column from the original resource.``
na_14doubleSource column from the original resource.``
na_15doubleSource column from the original resource.``
na_16doubleSource column from the original resource.``
na_17doubleSource column from the original resource.``
na_18doubleSource column from the original resource.``
na_19doubleSource column from the original resource.``
na_20doubleSource column from the original resource.``
na_21doubleSource column from the original resource.``
na_22doubleSource column from the original resource.``
na_23doubleSource column from the original resource.``
na_24doubleSource column from the original resource.``
na_25doubleSource column from the original resource.``
na_26doubleSource column from the original resource.``
na_27doubleSource column from the original resource.``
na_28doubleSource column from the original resource.``
na_29doubleSource column from the original resource.``
na_30doubleSource column from the original resource.``
na_31doubleSource column from the original resource.``
na_32doubleSource column from the original resource.``
na_33doubleSource column from the original resource.``
na_34doubleSource column from the original resource.``
na_35doubleSource column from the original resource.``
na_36doubleSource column from the original resource.``
na_37doubleSource column from the original resource.``
na_38doubleSource column from the original resource.``
na_39doubleSource column from the original resource.``
na_40doubleSource column from the original resource.``
na_41doubleSource column from the original resource.``
na_42doubleSource column from the original resource.``
na_43doubleSource column from the original resource.``
na_44doubleSource column from the original resource.``
na_45doubleSource column from the original resource.``
na_46doubleSource column from the original resource.``
na_47doubleSource column from the original resource.``
na_48doubleSource column from the original resource.``
na_49doubleSource column from the original resource.``
na_50doubleSource column from the original resource.``
na_51doubleSource column from the original resource.``
na_52doubleSource column from the original resource.``
na_53doubleSource column from the original resource.``
na_54doubleSource column from the original resource.``
na_55doubleSource column from the original resource.``
na_56doubleSource column from the original resource.``
d_34doubleSource column from the original resource.``
d_295doubleSource column from the original resource.``
d_40doubleSource column from the original resource.``
d_440doubleSource column from the original resource.``
d_48doubleSource column from the original resource.``
d_468doubleSource column from the original resource.``
d_30_400000000000002doubleSource column from the original resource.``
d_271doubleSource column from the original resource.``
d_33doubleSource column from the original resource.``
d_300_3193doubleSource column from the original resource.``
d_38doubleSource column from the original resource.``
d_315doubleSource column from the original resource.``
d_42_720000000000006doubleSource column from the original resource.``
d_394_92999999999995doubleSource column from the original resource.``
d_39_2doubleSource column from the original resource.``
d_258_45doubleSource column from the original resource.``
d_27doubleSource column from the original resource.``
d_186doubleSource column from the original resource.``
d_394_871666666667doubleSource column from the original resource.``
d_5196_647458333335doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-area-harvested-and-production-of-food-crops-island-of-maur-1a2d74f3")
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

  • —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
  • —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
  • —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_and_production_of_food_crops_island_of_maur_1a2d_2017,
  title        = {Area Harvested and Production of Food Crops Island of Maur | Africa (MDPA)},
  author       = {MDPA},
  year         = {2017},
  url          = {https://data.govmu.org/dataset/area-harvested-and-production-food-crops-island-mauritius-1980-2017},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-area-harvested-and-production-of-food-crops-island-of-maur-1a2d74f3}}
}

License

Released under CC BY-SA 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-and-production-food-crops-island-mauritius-1980-2017