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electricsheepafrica/africa-mauritius-eoe-enterprises-imports-breakdown-2000-to-2009-229246cb

Eoe Enterprises Imports Breakdown 2000 to 2009 | Africa (MDPA) 5 rows - 1 Africa country/area - 2000-2009 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 5 rows from MDPA, covering Eoe Enterprises Imports Breakdown 2000 to 2009. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures Economic datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-eoe-enterprises-imports-breakdown-2000-to-2009-229246cb.

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Eoe Enterprises Imports Breakdown 2000 to 2009 | Africa (MDPA)

5 rows - 1 Africa country/area - 2000-2009 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 5 rows from MDPA, covering Eoe Enterprises Imports Breakdown 2000 to 2009. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Dataset shows the Imports breakdown by raw materials and machinery & spare parts in the Export Oriented Enterprise Sector for year 2000 to 2009

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
Rows5
Countries/areas1
First period2000
Last period2009
Indicators0
Columns26
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU520002009Mauritius

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.fe76bffe-e9e7-4809-baf8-748cfc51308f:sheet1:0
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.Sheet1
ii_labour_productivity_index_2007_100stringSource column from the original resource.(iii) Labour productivity Index (2000 = 100 )
n_adoubleSource column from the original resource.100.0
n_a_2doubleSource column from the original resource.103.5167032967033
n_a_3doubleSource column from the original resource.102.9936842473746
n_a_4doubleSource column from the original resource.105.25671297450003
n_a_5doubleSource column from the original resource.110.78416047148492
n_a_6doubleSource column from the original resource.113.35097027196626
n_a_7doubleSource column from the original resource.123.58917867914649
d_100doubleSource column from the original resource.133.13004224931012
d_106_3stringSource column from the original resource.n.a
d_116_2stringSource column from the original resource.n.a
source_period_start_yearint64Start year inferred from source metadata.2000
source_period_end_yearint64End year inferred from source metadata.2009
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2000-2009
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.EOE enterprises Imports breakdown 2000 to 2009
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Source file: main EOE Indicators 2000 to 2009.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.d1260a8d-37b0-4834-ba04-c63bbeec3366
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.fe76bffe-e9e7-4809-baf8-748cfc51308f
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/d1260a8d-37b0-4834-ba04-c63bbeec3366/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-eoe-enterprises-imports-breakdown-2000-to-2009-229246cb")
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

  • —Build time-series dashboards
  • —Compare economic indicators
  • —Join with population or sector data
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_mauritius_eoe_enterprises_imports_breakdown_2000_to_2009_229246cb_2009,
  title        = {Eoe Enterprises Imports Breakdown 2000 to 2009 | Africa (MDPA)},
  author       = {MDPA},
  year         = {2009},
  url          = {https://data.govmu.org/dataset/eoe-enterprises-imports-breakdown-2000-to-2009},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-eoe-enterprises-imports-breakdown-2000-to-2009-229246cb}}
}

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/eoe-enterprises-imports-breakdown-2000-to-2009