Hugging Face's logo

Datasets:
electricsheepafrica
/
africa-mauritius-imports-value-of-energy-sources-2021-2024-gasolene-7f76501b

Tasks:
Tabular Regression
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
tabular
africa
open-data
official-statistics
mauritius
mdpa
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
africa-mauritius-imports-value-of-energy-sources-2021-2024-gasolene-7f76501b / README.md
Olaroti's picture
Olaroti
Standardize Electric Sheep Africa dataset card
159bccf verified
preview code
|
Raw
History Blame Contribute Delete
7.96 kB
metadata 
license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mauritius
  - mdpa
  - economics
  - environment-and-natural-resources
  - charcoal
  - coal
  - diesel-oil
  - fuel-wood
  - fuel-oil
  - gasolene
  - jet-fuel
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Imports value of energy sources 2021 - 2024 - Gasolene | Africa (MDPA)

Imports value of energy sources 2021 - 2024 - Gasolene | Africa (MDPA)

4 rows - 1 Africa country/area - 2021-2024 - 1 indicator - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 4 rows from MDPA, covering Imports value of energy sources 2021 - 2024 - Gasolene. 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: Dataset shows the Imports value of energy sources from 2021 to 2024

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 4
Countries/areas 1
First period 2021
Last period 2024
Indicators 1
Columns 15
Source format CSV

Geographic Coverage

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

Area Rows First year Last year Name
MUS 4 2021 2024 Mauritius

Indicators, Variables, Or Resource Contents

  • imports-value-of-energy-sources-2021-2024-gasolene-7f76501b - Imports value of energy sources 2021 - 2024 - Gasolene(source_units_unspecified)

Schema

Column Type Description Example
indicator_id string Stable source or Electric Sheep Africa indicator identifier. imports-value-of-energy-sources-2021-2024-gasolene-7f76501b
indicator_name string Human-readable indicator name. Imports value of energy sources 2021 - 2024 - Gasolene
country_iso3 string ISO3 country or area code. MUS
country_name string Country or area name. Mauritius
year int64 Observation year. 2021
value double Numeric observation value. 5033265.0
unit string Measurement unit, when supplied by the source. source_units_unspecified
source_provider string Publishing organization. MDPA
source_dataset string Source dataset or package title. Imports value of energy sources 2021 - 2024
source_resource string Source resource title, table name, or file name. Imports value of energy sources 2021 - 2024.csv
source_package_id string Source package identifier. 3b271e76-0a91-437e-acfa-4997b0707b95
source_resource_id string Source resource identifier. 0acca499-fa33-4354-8a7f-fdc1bfdf0062
source_url string Original source URL or download URL. https://data.govmu.org/dataset/3b271e76-0a91-437e-acfa-4997b0707b95/r...
license_id string Source license identifier. cc-by
retrieved_at string UTC source retrieval timestamp from the Electric Sheep Africa pipeline. 2026-07-16T18:12:36Z

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-imports-value-of-energy-sources-2021-2024-gasolene-7f76501b")
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"] == "MUS"]

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

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_imports_value_of_energy_sources_2021_2024_gasolene_7f76501b_2024,
  title        = {Imports value of energy sources 2021 - 2024 - Gasolene | Africa (MDPA)},
  author       = {MDPA},
  year         = {2024},
  url          = {https://data.govmu.org/dataset/imports-value-of-energy-sources-2021-2024},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-imports-value-of-energy-sources-2021-2024-gasolene-7f76501b}}
}

License

Released under CC BY 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/imports-value-of-energy-sources-2021-2024