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electricsheepafrica/africa-mauritius-budget-data-2018-2019-the-treasury-ministry-of-finance-and-1532d9e8

Budget Data 2018 2019 the Treasury Ministry of Finance and | Africa (MDPA) 70 rows - 1 Africa country/area - 2018-2019 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 70 rows from MDPA, covering Budget Data 2018 2019 the Treasury Ministry of Finance and. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-2018-2019-the-treasury-ministry-of-finance-and-1532d9e8.

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Dataset Card

Budget Data 2018 2019 the Treasury Ministry of Finance and | Africa (MDPA)

70 rows - 1 Africa country/area - 2018-2019 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 70 rows from MDPA, covering Budget Data 2018 2019 the Treasury Ministry of Finance and. 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: Budget Data 2018-2019, The Treasury,Ministry of Finance and Economic Development

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

DimensionValue
Rows70
Countries/areas1
First period2018
Last period2019
Indicators0
Columns23
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU7020182019Mauritius

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.adee22ae-9e91-4435-990a-e2f124502bcf:source:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.MU
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Mauritius
source_sheetstringSource column from the original resource.Source
d_21110stringSource column from the original resource..001
personal_emolumentsstringSource column from the original resource.Basic Salary
funded_2017_18doubleSource column from the original resource.``
funded_2018_19doubleSource column from the original resource.``
d_72992000doubleSource column from the original resource.62717000.0
d_76795000doubleSource column from the original resource.65815000.0
d_79021000doubleSource column from the original resource.67901000.0
d_80423000doubleSource column from the original resource.69163000.0
source_period_start_yearint64Start year inferred from source metadata.2018
source_period_end_yearint64End year inferred from source metadata.2019
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2018-2019
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Budget Data 2018-2019, The Treasury,Ministry of Finance and Economic ...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Source_Budget-Data-2018-2019-The-TreasuryMinistry-of-Finance-and-Econ...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.ddc79271-1719-41c5-9919-f59586f8b4d8
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.adee22ae-9e91-4435-990a-e2f124502bcf
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/ddc79271-1719-41c5-9919-f59586f8b4d8/r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.CC-BY-SA-4.0
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-08T16:26:20Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-budget-data-2018-2019-the-treasury-ministry-of-finance-and-1532d9e8")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

python
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

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

bibtex
@misc{electric_sheep_africa_africa_mauritius_budget_data_2018_2019_the_treasury_ministry_of_finance_and_1532_2019,
  title        = {Budget Data 2018 2019 the Treasury Ministry of Finance and | Africa (MDPA)},
  author       = {MDPA},
  year         = {2019},
  url          = {https://data.govmu.org/dataset/budget-data-2018-2019-treasuryministry-finance-and-economic-development},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-2018-2019-the-treasury-ministry-of-finance-and-1532d9e8}}
}

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.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/budget-data-2018-2019-treasuryministry-finance-and-economic-development