electricsheepafrica/africa-mauritius-eoe-imports-by-country-of-origin-1992-1994-7cb847b6

Eoe Imports by Country of Origin 1992 1994 | Africa (MDPA)

43 rows - 1 Africa country/area - 1992-1994 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 43 rows from MDPA, covering Eoe Imports by Country of Origin 1992 1994. 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 Export Oriented Enterprise Sector imports by country of origin Quarterwise 1992 - 1994

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

Dimension	Value
Rows	43
Countries/areas	1
First period	1992
Last period	1994
Indicators	0
Columns	31
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	43	1992	1994	Mauritius

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	3c9d93e7-0f35-4398-a9b9-9c1147dc482c:sheet1:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	MU
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	Mauritius
source_sheet	string	Source column from the original resource.	Sheet1
europe	string	Source column from the original resource.	Belgium
n_a	string	Source column from the original resource.	48
n_a_2	string	Source column from the original resource.	54
n_a_3	string	Source column from the original resource.	59
n_a_4	string	Source column from the original resource.	52
n_a_5	string	Source column from the original resource.	213
n_a_6	string	Source column from the original resource.	65
n_a_7	string	Source column from the original resource.	108
n_a_8	string	Source column from the original resource.	101
n_a_9	string	Source column from the original resource.	107
n_a_10	string	Source column from the original resource.	381
n_a_11	string	Source column from the original resource.	59
n_a_12	string	Source column from the original resource.	60
n_a_13	string	Source column from the original resource.	61
n_a_14	string	Source column from the original resource.	33
n_a_15	string	Source column from the original resource.	213
source_period_start_year	int64	Start year inferred from source metadata.	1992
source_period_end_year	int64	End year inferred from source metadata.	1994
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	1992-1994
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	MDPA
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	EOE imports by country of origin 1992 - 1994
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source File: EOE imports by country of origin, Quarterly 1992 to 1994...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	f32e6e49-6232-4bf9-9ba9-1a633f52561b
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	3c9d93e7-0f35-4398-a9b9-9c1147dc482c
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/f32e6e49-6232-4bf9-9ba9-1a633f52561b/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-08T16:26:20Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-eoe-imports-by-country-of-origin-1992-1994-7cb847b6")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

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

• Source: MDPA
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: Source File: EOE imports by country of origin, Quarterly 1992 to 1994.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:49:37Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-eoe-imports-by-country-of-origin-1992-1994-7cb847b6

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

@misc{electric_sheep_africa_africa_mauritius_eoe_imports_by_country_of_origin_1992_1994_7cb847b6_1994,
  title        = {Eoe Imports by Country of Origin 1992 1994 | Africa (MDPA)},
  author       = {MDPA},
  year         = {1994},
  url          = {https://data.govmu.org/dataset/eoe-imports-by-country-of-origin-1992-1994},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-eoe-imports-by-country-of-origin-1992-1994-7cb847b6}}
}

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.

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/eoe-imports-by-country-of-origin-1992-1994