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electricsheepafrica/africa-mauritius-area-harvested-production-yield-and-interline-of-food-crop-0b28d382

Area Harvested Production Yield and Interline of Food Crop | Africa (MDPA) 356 rows - 1 Africa country/area - 2015-2020 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 356 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-0b28d382.

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Dataset Card

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

356 rows - 1 Africa country/area - 2015-2020 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 356 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 as from 2015 to 2020

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
Rows356
Countries/areas1
First period2015
Last period2020
Indicators0
Columns67
Source formatXLS

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU35620152020Mauritius

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.2778c0f6-2351-4758-b63e-5c221f27b088:introduction: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.Introduction
introductionstringSource column from the original resource.This Digest of Agricultural Statistics which is an annual report was ...
source_period_start_yearint64Start year inferred from source metadata.2015
source_period_end_yearint64End year inferred from source metadata.2020
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2015-2020
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.Source File 2015 - 2020.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.575b79d2-d02d-4a0d-aca7-ee87f2c045c5
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.2778c0f6-2351-4758-b63e-5c221f27b088
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/575b79d2-d02d-4a0d-aca7-ee87f2c045c5/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
d_1_1_agriculture_forestry_and_fishingstringSource column from the original resource.``
methodologystringSource column from the original resource.``
table_nodoubleSource column from the original resource.``
table_no_digestdoubleSource column from the original resource.``
old_series_tablesstringSource column from the original resource.``
tables_in_new_seriesstringSource column from the original resource.``
coverage_concepts_and_definitionsstringSource column from the original resource.``
tabledoubleSource column from the original resource.``
agricultural_sectorstringSource column from the original resource.``
symbols_and_abbreviationsstringSource column from the original resource.``
greensstringSource column from the original resource.``
n_adoubleSource column from the original resource.``
n_a_2doubleSource column from the original resource.``
n_a_3doubleSource column from the original resource.``
d_259doubleSource column from the original resource.``
d_2706doubleSource column from the original resource.``
d_10_447876447876448doubleSource column from the original resource.``
d_246_84277777777763doubleSource column from the original resource.``
d_2406_167388888889doubleSource column from the original resource.``
d_9_747773098936127doubleSource column from the original resource.``
d_244_3doubleSource column from the original resource.``
d_2085doubleSource column from the original resource.``
d_8_534588620548506doubleSource column from the original resource.``
d_255doubleSource column from the original resource.``
d_2257doubleSource column from the original resource.``
d_8_850980392156863doubleSource column from the original resource.``
columnstringSource column from the original resource.``
column_2stringSource column from the original resource.``
column_3stringSource column from the original resource.``
column_4stringSource column from the original resource.``
column_5stringSource column from the original resource.``
column_6stringSource column from the original resource.``
column_7stringSource column from the original resource.``
column_8stringSource column from the original resource.``
column_9stringSource column from the original resource.``
beetstringSource column from the original resource.``
d_40doubleSource column from the original resource.``
d_614_51doubleSource column from the original resource.``
d_15_36275doubleSource column from the original resource.``
d_41_24doubleSource column from the original resource.``
d_588_5971333333333doubleSource column from the original resource.``
d_14_272481409634658doubleSource column from the original resource.``
d_39doubleSource column from the original resource.``
d_497doubleSource column from the original resource.``
d_12_743589743589743doubleSource column from the original resource.``
d_33doubleSource column from the original resource.``
d_348doubleSource column from the original resource.``
d_10_545454545454545doubleSource column from the original resource.``
d_35_37doubleSource column from the original resource.``
d_297_1896doubleSource column from the original resource.``
d_8_402307039864292doubleSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-area-harvested-production-yield-and-interline-of-food-crop-0b28d382")
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_production_yield_and_interline_of_food_crop_0b28_2020,
  title        = {Area Harvested Production Yield and Interline of Food Crop | Africa (MDPA)},
  author       = {MDPA},
  year         = {2020},
  url          = {https://data.govmu.org/dataset/area-harvested-production-yield-and-interline-of-food-crops-for-mauritius-for-year-2015-to-2020},
  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-0b28d382}}
}

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-2015-to-2020