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electricsheepafrica/africa-mauritius-area-harvested-production-yield-and-interline-of-food-crop-1147d267

Area Harvested Production Yield and Interline of Food Crop | Africa (MDPA) 185 rows - 1 Africa country/area - 2023 - 3 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 185 rows from MDPA, covering Area Harvested Production Yield and Interline of Food Crop. 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-production-yield-and-interline-of-food-crop-1147d267.

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Dataset Card

Area Harvested Production Yield and Interline of Food Crop | Africa (MDPA)

185 rows - 1 Africa country/area - 2023 - 3 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 185 rows from MDPA, covering Area Harvested Production Yield and Interline of Food Crop. 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: Production of Fruits and Vegetables by Area Harvested and Amount Yield in Mauritius for the Year 2023

How To Read This Dataset

  • —One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows185
Countries/areas1
First period2023
Last period2023
Indicators3
Columns21
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU18520232023Mauritius

Indicators, Variables, Or Resource Contents

  • —area-harvested-production-yield-and-interline-of-food-crops-for-mauritiu-aeb8eb01 - Area Harvested, Production, Yield and Interline of Food Crops for Mauritius for Year 2023 - area harvested(sourceunitsunspecified)
  • —area-harvested-production-yield-and-interline-of-food-crops-for-mauritiu-2d19ac3b - Area Harvested, Production, Yield and Interline of Food Crops for Mauritius for Year 2023 - production of crops(sourceunitsunspecified)
  • —area-harvested-production-yield-and-interline-of-food-crops-for-mauritiu-ad1619a5 - Area Harvested, Production, Yield and Interline of Food Crops for Mauritius for Year 2023 - amount yield(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.area-harvested-production-yield-and-interline-of-food-crops-for-mauri...
indicator_namestringHuman-readable indicator name.Area Harvested, Production, Yield and Interline of Food Crops for Mau...
country_iso3stringISO3 country or area code.MU
country_namestringCountry or area name.Mauritius
yearint64Observation year.2023
valuedoubleNumeric observation value.316.5
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_typestringSource dimension retained during long-form normalization.Open Fields
dimension_category_food_cropsstringSource dimension retained during long-form normalization.Beans
dimension_sub_category_food_cropsstringSource dimension retained during long-form normalization.``
source_period_start_yearint64Start year inferred from source metadata.2023
source_period_end_yearint64End year inferred from source metadata.2023
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2023
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, Production, Yield and Interline of Food Crops for Mau...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Area Harvested ,Production, Yield and Interline of Food Crops 2023.csv
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.418af393-03a3-49ba-9a28-835f8476f4a8
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.622268b7-a771-4213-92dc-8755f0d97040
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/418af393-03a3-49ba-9a28-835f8476f4a8/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

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-area-harvested-production-yield-and-interline-of-food-crop-1147d267")
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
  • —Pivot to geography x period or indicator x period matrices
  • —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_production_yield_and_interline_of_food_crop_1147_2023,
  title        = {Area Harvested Production Yield and Interline of Food Crop | Africa (MDPA)},
  author       = {MDPA},
  year         = {2023},
  url          = {https://data.govmu.org/dataset/area-harvested-production-yield-and-interline-of-food-crops-for-mauritius-for-year-2023},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-area-harvested-production-yield-and-interline-of-food-crop-1147d267}}
}

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-production-yield-and-interline-of-food-crops-for-mauritius-for-year-2023