electricsheepafrica/africa-mauritius-budget-data-2018-2019-ministry-of-arts-and-culture-69922d82

Budget Data 2018 2019 Ministry of Arts and Culture | Africa (MDPA)

2,640 rows - 1 Africa country/area - 2017-2020 - 3 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 2,640 rows from MDPA, covering Budget Data 2018 2019 Ministry of Arts and Culture. 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.

This dataset covers Budget Data 2018 2019 Ministry of Arts and Culture from MDPA. Use the source and schema sections below to confirm definitions, units, and collection methodology before sensitive analytical use.

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	2,640
Countries/areas	1
First period	2017
Last period	2020
Indicators	3
Columns	26
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	2,640	2017	2020	Mauritius

Indicators, Variables, Or Resource Contents

• budget-data-2018-2019-ministry-of-arts-and-culture-itemno-5ac1eb1c - Budget Data 2018-2019 - Ministry of Arts and Culture - itemno(source_units_unspecified)
• budget-data-2018-2019-ministry-of-arts-and-culture-endfinancialyear-ada6398b - Budget Data 2018-2019 - Ministry of Arts and Culture - endfinancialyear(source_units_unspecified)
• budget-data-2018-2019-ministry-of-arts-and-culture-amount-mur-25e65e20 - Budget Data 2018-2019 - Ministry of Arts and Culture - amount mur(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	budget-data-2018-2019-ministry-of-arts-and-culture-itemno-5ac1eb1c
indicator_name	string	Human-readable indicator name.	Budget Data 2018-2019 - Ministry of Arts and Culture - itemno
country_iso3	string	ISO3 country or area code.	MU
country_name	string	Country or area name.	Mauritius
year	int64	Observation year.	2017
value	double	Numeric observation value.	20100.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_head	string	Source dimension retained during long-form normalization.	Ministry of Arts and Culture
dimension_subhead	string	Source dimension retained during long-form normalization.	General
dimension_expensetype	string	Source dimension retained during long-form normalization.	Recurrent Expenditure
dimension_category	string	Source dimension retained during long-form normalization.	Allowance to Minister
dimension_subcategory	string	Source dimension retained during long-form normalization.	Annual Allowance
dimension_itemcategory	string	Source dimension retained during long-form normalization.	``
dimension_details	string	Source dimension retained during long-form normalization.	``
dimension_financialstatus	string	Source dimension retained during long-form normalization.	Estimates
source_period_start_year	int64	Start year inferred from source metadata.	2018
source_period_end_year	int64	End year inferred from source metadata.	2019
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2018-2019
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.	Budget Data 2018-2019 - Ministry of Arts and Culture
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	DATA-Budget-data-2018-19-for-the-Ministry-of-Arts-%26-Culture_3.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	494777ab-4da6-4b39-aa17-2524247b054c
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	008b87d7-9954-446e-874b-848ba9d3381c
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/494777ab-4da6-4b39-aa17-2524247b054c/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-budget-data-2018-2019-ministry-of-arts-and-culture-69922d82")
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: DATA-Budget-data-2018-19-for-the-Ministry-of-Arts-%26-Culture_3.csv
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:46:52Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-budget-data-2018-2019-ministry-of-arts-and-culture-69922d82

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_budget_data_2018_2019_ministry_of_arts_and_culture_69922d82_2020,
  title        = {Budget Data 2018 2019 Ministry of Arts and Culture | Africa (MDPA)},
  author       = {MDPA},
  year         = {2020},
  url          = {https://data.govmu.org/dataset/budget-data-2018-2019-ministry-arts-and-culture},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-2018-2019-ministry-of-arts-and-culture-69922d82}}
}

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/budget-data-2018-2019-ministry-arts-and-culture