electricsheepafrica/africa-mauritius-gross-value-added-by-industry-group-at-current-basic-price-1f9b5fdc

Gross Value Added by Industry Group At Current Basic Price | Africa (MDPA)

12 rows - 1 Africa country/area - 2006-2023 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 12 rows from MDPA, covering Gross Value Added by Industry Group At Current Basic Price. 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 Gross Value Added by industry group at current basic prices for General Government, 2006 - 2023

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	12
Countries/areas	1
First period	2006
Last period	2023
Indicators	0
Columns	34
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	12	2006	2023	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.	d6a8bded-a73a-4555-b391-33a9bba1fd28: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
agriculture_forestry_and_fishing	string	Source column from the original resource.	Other
d_1145_8999999999999	double	Source column from the original resource.	1145.9
d_1180_2	double	Source column from the original resource.	1180.2
d_1268_3999999999999	double	Source column from the original resource.	1268.4
d_1342_7	double	Source column from the original resource.	1342.7
d_1329_3	double	Source column from the original resource.	1329.3
d_1283_9000000000003	double	Source column from the original resource.	1283.9000000000003
d_1356_6000000000006	double	Source column from the original resource.	1356.6000000000006
d_1511_45099106534	double	Source column from the original resource.	1511.45099106534
d_1568	double	Source column from the original resource.	1568.0
d_1538	double	Source column from the original resource.	1538.0
d_1487	double	Source column from the original resource.	1487.0
d_1468	double	Source column from the original resource.	1468.0
d_1461	double	Source column from the original resource.	1461.0
d_1484	double	Source column from the original resource.	1484.0
d_1489	double	Source column from the original resource.	1489.0
d_1556	double	Source column from the original resource.	1556.0
d_1649	double	Source column from the original resource.	1649.0
d_1669	double	Source column from the original resource.	1669.0
source_period_start_year	int64	Start year inferred from source metadata.	2006
source_period_end_year	int64	End year inferred from source metadata.	2023
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2006-2023
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.	Gross Value Added by industry group at current basic prices
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	source file
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	09f869b6-09cd-43e5-9ee3-a84032b10e66
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	d6a8bded-a73a-4555-b391-33a9bba1fd28
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/09f869b6-09cd-43e5-9ee3-a84032b10e66/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	odc-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-gross-value-added-by-industry-group-at-current-basic-price-1f9b5fdc")
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
• License: Open Data Commons Attribution License
• Retrieved/generated: 2026-08-08T16:56:29Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-gross-value-added-by-industry-group-at-current-basic-price-1f9b5fdc

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_gross_value_added_by_industry_group_at_current_basic_price_1f9b_2023,
  title        = {Gross Value Added by Industry Group At Current Basic Price | Africa (MDPA)},
  author       = {MDPA},
  year         = {2023},
  url          = {https://data.govmu.org/dataset/gross-value-added-by-industry-group-at-current-basic-prices},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-gross-value-added-by-industry-group-at-current-basic-price-1f9b5fdc}}
}

License

Released under Open Data Commons Attribution License.

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/gross-value-added-by-industry-group-at-current-basic-prices