electricsheepafrica/africa-mauritius-generation-of-electricity-by-central-electricity-board-and-47a15d7c

Generation of Electricity by Central Electricity Board and | Africa (MDPA)

169 rows - 1 Africa country/area - 2017-2021 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 169 rows from MDPA, covering Generation of Electricity by Central Electricity Board and. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Energy datasets help analysts study supply, demand, prices, generation, access, and the infrastructure behind economic activity.

Source-provided context: Data shows number of electricity generated by CEB( Central Electricity Board) and IPP(Independent Power Producers) for the year 2017 to 2021

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	169
Countries/areas	1
First period	2017
Last period	2021
Indicators	0
Columns	29
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	169	2017	2021	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.	b0a76d31-bd59-4424-b4ec-2d65815e2837:sources-methods: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
source_sheet	string	Source column from the original resource.	Sources & methods
d_1_mining_and_quarrying	string	Source column from the original resource.	2. Manufacturing
the_activity_of_mining_and_quarrying_comprises_activitie	string	Source column from the original resource.	The manufacturing sector is one of the largest sectors in the Mauriti...
source_period_start_year	int64	Start year inferred from source metadata.	2017
source_period_end_year	int64	End year inferred from source metadata.	2021
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2017-2021
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.	Generation of electricity by Central Electricity Board and Independen...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	SourceFile_Generation-of-electricity-by-CEB-and-IPP_2017-2021.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	fef726d8-dd94-40be-8c01-b07677677aeb
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	b0a76d31-bd59-4424-b4ec-2d65815e2837
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/fef726d8-dd94-40be-8c01-b07677677aeb/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
introduction	string	Source column from the original resource.	``
d_1_coverage	string	Source column from the original resource.	``
the_industrial_sector_according_to_the_international_rec	string	Source column from the original resource.	``
productivity_and_unit_labour_cost_indices	string	Source column from the original resource.	``
column	string	Source column from the original resource.	``
not_applicable_or_nil	string	Source column from the original resource.	``
power_station	string	Source column from the original resource.	``
2017	double	Source column from the original resource.	``
2018	double	Source column from the original resource.	``
2019	double	Source column from the original resource.	``
2020	double	Source column from the original resource.	``
2021	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-generation-of-electricity-by-central-electricity-board-and-47a15d7c")
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: SourceFile_Generation-of-electricity-by-CEB-and-IPP_2017-2021.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T17:10:25Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-generation-of-electricity-by-central-electricity-board-and-47a15d7c

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

• Track supply or price trends
• Compare energy sources
• Join with population, industry, or emissions data
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_generation_of_electricity_by_central_electricity_board_and_47a1_2021,
  title        = {Generation of Electricity by Central Electricity Board and | Africa (MDPA)},
  author       = {MDPA},
  year         = {2021},
  url          = {https://data.govmu.org/dataset/generation-electricity-central-electricity-board-and-independent-power-producers},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-generation-of-electricity-by-central-electricity-board-and-47a15d7c}}
}

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/generation-electricity-central-electricity-board-and-independent-power-producers