electricsheepafrica/africa-mauritius-budgetary-central-government-statement-of-government-opera-f77e2f7b

Budgetary Central Government Statement of Government Opera | Africa (MDPA)

360 rows - 1 Africa country/area - 2015-2016 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 360 rows from MDPA, covering Budgetary Central Government Statement of Government Opera. 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: Budgetary Central Government - Statement of Government Operations

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

Dimension	Value
Rows	360
Countries/areas	1
First period	2015
Last period	2016
Indicators	1
Columns	28
Source format	XLS

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	360	2015	2016	Mauritius

Indicators, Variables, Or Resource Contents

• budgetary-central-government-statement-of-government-operations-f77e2f7b - Budgetary Central Government - Statement of Government Operations(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	budgetary-central-government-statement-of-government-operations-f77e2f7b
indicator_name	string	Human-readable indicator name.	Budgetary Central Government - Statement of Government Operations
country_iso3	string	ISO3 country or area code.	MU
source_sheet	string	Source column from the original resource.	Sheet1
country_name	string	Country or area name.	Mauritius
year	int64	Observation year.	2015
value	double	Numeric observation value.	7132.8
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_gfsm2001_code	string	Source dimension retained during long-form normalization.	1
dimension_description	string	Source dimension retained during long-form normalization.	Revenue
dimension_column_3	string	Source dimension retained during long-form normalization.	``
dimension_column_4	string	Source dimension retained during long-form normalization.	``
dimension_jul_sept_2015	string	Source dimension retained during long-form normalization.	19223.7
dimension_oct_dec_2015	string	Source dimension retained during long-form normalization.	24797.4
dimension_jan_mar_2016	string	Source dimension retained during long-form normalization.	20761.7
dimension_apr_jun_2016	string	Source dimension retained during long-form normalization.	23453.09
dimension_jul_2015_jun_2016	string	Source dimension retained during long-form normalization.	88235.89000000001
source_period_start_year	int64	Start year inferred from source metadata.	2015
source_period_end_year	int64	End year inferred from source metadata.	2016
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2015-2016
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.	Budgetary Central Government - Statement of Government Operations
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	SOURCE-RevenueExpenses_BudgetaryCentralGovt_MonStmtOfGovtOpeJul2015-J...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	fa269a1d-73a4-4d22-9424-dd2e1591df63
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	7f79c5fb-5c84-4191-a4a7-af9e07c0991d
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/fa269a1d-73a4-4d22-9424-dd2e1591df63/r...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	CC-BY-SA-4.0
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-budgetary-central-government-statement-of-government-opera-f77e2f7b")
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

• 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

• Source: MDPA
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: SOURCE-RevenueExpenses_BudgetaryCentralGovt_MonStmtOfGovtOpeJul2015-Jun2016.xls
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:44:28Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-budgetary-central-government-statement-of-government-opera-f77e2f7b

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
• 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

@misc{electric_sheep_africa_africa_mauritius_budgetary_central_government_statement_of_government_opera_f77e_2016,
  title        = {Budgetary Central Government Statement of Government Opera | Africa (MDPA)},
  author       = {MDPA},
  year         = {2016},
  url          = {https://data.govmu.org/dataset/budgetary-central-government-statement-government-operations},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budgetary-central-government-statement-of-government-opera-f77e2f7b}}
}

License

Released under CC BY-SA 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/budgetary-central-government-statement-government-operations