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electricsheepafrica/africa-mauritius-local-production-and-importation-of-potatoes-in-mauritius-b24d44ab

Local Production and Importation of Potatoes in Mauritius | Africa (MDPA) 68 rows - 1 Africa country/area - 2016-2020 - 3 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 68 rows from MDPA, covering Local Production and Importation of Potatoes in Mauritius. 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-local-production-and-importation-of-potatoes-in-mauritius-b24d44ab.

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Local Production and Importation of Potatoes in Mauritius | Africa (MDPA)

68 rows - 1 Africa country/area - 2016-2020 - 3 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 68 rows from MDPA, covering Local Production and Importation of Potatoes in Mauritius. 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: Projection of Local Production and Importation of Potatoes in Mauritius as from Jan 2016 to June 2020

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
Rows68
Countries/areas1
First period2016
Last period2020
Indicators3
Columns19
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU6820162020Mauritius

Indicators, Variables, Or Resource Contents

  • —local-production-and-importation-of-potatoes-in-mauritius-from-jan-2016-8774d8db - Local Production and Importation of Potatoes in Mauritius from Jan 2016 to June 2020 - area harvested(sourceunitsunspecified)
  • —local-production-and-importation-of-potatoes-in-mauritius-from-jan-2016-9ed8340f - Local Production and Importation of Potatoes in Mauritius from Jan 2016 to June 2020 - local production quantity(sourceunitsunspecified)
  • —local-production-and-importation-of-potatoes-in-mauritius-from-jan-2016-9902acb4 - Local Production and Importation of Potatoes in Mauritius from Jan 2016 to June 2020 - import quantity(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.local-production-and-importation-of-potatoes-in-mauritius-from-jan-20...
indicator_namestringHuman-readable indicator name.Local Production and Importation of Potatoes in Mauritius from Jan 20...
country_iso3stringISO3 country or area code.MU
country_namestringCountry or area name.Mauritius
yearint64Observation year.2016
valuedoubleNumeric observation value.2.2
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_production_monthstringSource dimension retained during long-form normalization.Jun
source_period_start_yearint64Start year inferred from source metadata.2016
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.2016-2020
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Local Production and Importation of Potatoes in Mauritius from Jan 20...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Local Production and Importation of Potato in Mauritius-Jan 2016 - Ju...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.5d1806e4-87c1-453a-b057-f8eb8739bbae
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.23d5e945-d614-4dff-9c83-01ad5cda8ccc
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/5d1806e4-87c1-453a-b057-f8eb8739bbae/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-local-production-and-importation-of-potatoes-in-mauritius-b24d44ab")
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_local_production_and_importation_of_potatoes_in_mauritius_b24d4_2020,
  title        = {Local Production and Importation of Potatoes in Mauritius | Africa (MDPA)},
  author       = {MDPA},
  year         = {2020},
  url          = {https://data.govmu.org/dataset/local-production-and-importation-of-potatoes-in-mauritius-from-jan-2016-to-june-2020},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-local-production-and-importation-of-potatoes-in-mauritius-b24d44ab}}
}

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/local-production-and-importation-of-potatoes-in-mauritius-from-jan-2016-to-june-2020