electricsheepafrica/africa-mauritius-budget-data-for-procurement-policy-office-2016-2017-9b375106

Budget Data for Procurement Policy Office 2016 2017 | Africa (MDPA)

36 rows - 1 Africa country/area - 2016-2017 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 36 rows from MDPA, covering Budget Data for Procurement Policy Office 2016 2017. 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 2016-2017- Procurement Policy Office

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	36
Countries/areas	1
First period	2016
Last period	2017
Indicators	0
Columns	24
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	36	2016	2017	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.	050fb8e2-65c8-434f-a88d-842806085716:0
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
head	string	Source column from the original resource.	MOFED
subhead	string	Source column from the original resource.	PPO
expensetype	string	Source column from the original resource.	Recurrent Expenditure
itemno	int64	Source column from the original resource.	21110
category	string	Source column from the original resource.	Compensation of Employees
subcategory	string	Source column from the original resource.	Personal Emoluments
startfinancialyear	string	Source column from the original resource.	1-Jul-16
endfinancialyear	string	Source column from the original resource.	30-Jun-17
financialstatus	string	Source column from the original resource.	Estimates
amount	int64	Source column from the original resource.	12650000
source_period_start_year	int64	Start year inferred from source metadata.	2016
source_period_end_year	int64	End year inferred from source metadata.	2017
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2016-2017
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 for Procurement Policy Office 2016-2017
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	DATA_Budget_PPO_2016_2017.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	9ced0378-a1a0-4f4e-9ba5-6b7535c96a9e
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	050fb8e2-65c8-434f-a88d-842806085716
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/9ced0378-a1a0-4f4e-9ba5-6b7535c96a9e/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-for-procurement-policy-office-2016-2017-9b375106")
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: DATA_Budget_PPO_2016_2017.csv
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:46:07Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-budget-data-for-procurement-policy-office-2016-2017-9b375106

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_budget_data_for_procurement_policy_office_2016_2017_9b375106_2017,
  title        = {Budget Data for Procurement Policy Office 2016 2017 | Africa (MDPA)},
  author       = {MDPA},
  year         = {2017},
  url          = {https://data.govmu.org/dataset/budget-data-procurement-policy-office-2016-2017},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-for-procurement-policy-office-2016-2017-9b375106}}
}

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-procurement-policy-office-2016-2017