electricsheepafrica/africa-mauritius-eoe-exports-by-country-of-destination-2010-2014-84db3fe9

Eoe Exports by Country of Destination 2010 2014 | Africa (MDPA)

33 rows - 1 Africa country/area - 2010-2014 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 33 rows from MDPA, covering Eoe Exports by Country of Destination 2010 2014. 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 exports by country of destination Quarterwise 2010 - 2014

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	33
Countries/areas	1
First period	2010
Last period	2014
Indicators	0
Columns	41
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	33	2010	2014	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.	377d0d8d-bcd8-4bc3-8fac-ba33c4398d40: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
sweden	string	Source column from the original resource.	Switzerland
n_a	string	Source column from the original resource.	154
n_a_2	string	Source column from the original resource.	192
n_a_3	string	Source column from the original resource.	197
n_a_4	string	Source column from the original resource.	215
n_a_5	string	Source column from the original resource.	758
n_a_6	string	Source column from the original resource.	198
n_a_7	string	Source column from the original resource.	242
n_a_8	string	Source column from the original resource.	239
n_a_9	string	Source column from the original resource.	204
n_a_10	string	Source column from the original resource.	883
n_a_11	string	Source column from the original resource.	226
n_a_12	string	Source column from the original resource.	248
n_a_13	string	Source column from the original resource.	178
n_a_14	string	Source column from the original resource.	131
n_a_15	string	Source column from the original resource.	783
n_a_16	string	Source column from the original resource.	142
n_a_17	string	Source column from the original resource.	190
n_a_18	string	Source column from the original resource.	182
n_a_19	string	Source column from the original resource.	190
n_a_20	string	Source column from the original resource.	704
n_a_21	string	Source column from the original resource.	177
n_a_22	string	Source column from the original resource.	188
n_a_23	string	Source column from the original resource.	161
n_a_24	string	Source column from the original resource.	237
n_a_25	string	Source column from the original resource.	763
source_period_start_year	int64	Start year inferred from source metadata.	2010
source_period_end_year	int64	End year inferred from source metadata.	2014
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2010-2014
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 exports by country of destination 2010 - 2014
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Source File: Export By Country 2010 to 2014.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	e343f292-9c45-487e-94d7-597e51f26f9d
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	377d0d8d-bcd8-4bc3-8fac-ba33c4398d40
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/e343f292-9c45-487e-94d7-597e51f26f9d/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-exports-by-country-of-destination-2010-2014-84db3fe9")
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: Export By Country 2010 to 2014.xlsx
• License: CC BY 4.0
• Retrieved/generated: 2026-08-08T16:51:20Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-eoe-exports-by-country-of-destination-2010-2014-84db3fe9

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_exports_by_country_of_destination_2010_2014_84db3fe9_2014,
  title        = {Eoe Exports by Country of Destination 2010 2014 | Africa (MDPA)},
  author       = {MDPA},
  year         = {2014},
  url          = {https://data.govmu.org/dataset/eoe-exports-by-country-of-destination-2010-2014},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-eoe-exports-by-country-of-destination-2010-2014-84db3fe9}}
}

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-exports-by-country-of-destination-2010-2014