electricsheepafrica/africa-mauritius-data-budget-data-2016-2017-judiciary-2a4ede9a

Data Budget Data 2016 2017 Judiciary | Africa (MDPA)

264 rows - 1 Africa country/area - 2015-2018 - 3 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 264 rows from MDPA, covering Data Budget Data 2016 2017 Judiciary. 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 Data Budget Data 2016 2017 Judiciary 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	264
Countries/areas	1
First period	2015
Last period	2018
Indicators	3
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	264	2015	2018	Mauritius

Indicators, Variables, Or Resource Contents

• data-budget-data-2016-2017-judiciary-item-no-0a9a39c4 - Data_Budget Data 2016-2017 - Judiciary - item no(source_units_unspecified)
• data-budget-data-2016-2017-judiciary-end-financial-year-51664213 - Data_Budget Data 2016-2017 - Judiciary - end financial year(source_units_unspecified)
• data-budget-data-2016-2017-judiciary-amount-152d916a - Data_Budget Data 2016-2017 - Judiciary - amount(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	data-budget-data-2016-2017-judiciary-item-no-0a9a39c4
indicator_name	string	Human-readable indicator name.	Data_Budget Data 2016-2017 - Judiciary - item no
country_iso3	string	ISO3 country or area code.	MU
country_name	string	Country or area name.	Mauritius
year	int64	Observation year.	2015
value	double	Numeric observation value.	21110.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_head	string	Source dimension retained during long-form normalization.	THE JUDICIARY
dimension_sub_head	string	Source dimension retained during long-form normalization.	THE JUDICIARY
dimension_expense_type	string	Source dimension retained during long-form normalization.	Reccurrent Expenditure
dimension_category	string	Source dimension retained during long-form normalization.	Compensation of Employees
dimension_sub_category	string	Source dimension retained during long-form normalization.	Personal Emoluments
dimension_financial_status	string	Source dimension retained during long-form normalization.	Estimates
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.	Data_Budget Data 2016-2017 - Judiciary
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Data-_Judiciary-20162017_0.csv
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	970bb7f7-8138-4293-8c0d-ccb888f4bf54
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	85939184-9e93-4e28-a8ef-34484f6bd3c0
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/970bb7f7-8138-4293-8c0d-ccb888f4bf54/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-data-budget-data-2016-2017-judiciary-2a4ede9a")
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-_Judiciary-20162017_0.csv
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:46:07Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-data-budget-data-2016-2017-judiciary-2a4ede9a

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_data_budget_data_2016_2017_judiciary_2a4ede9a_2018,
  title        = {Data Budget Data 2016 2017 Judiciary | Africa (MDPA)},
  author       = {MDPA},
  year         = {2018},
  url          = {https://data.govmu.org/dataset/databudget-data-2016-2017-judiciary},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-data-budget-data-2016-2017-judiciary-2a4ede9a}}
}

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/databudget-data-2016-2017-judiciary