electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471

Water Sales by Tariff of Subscriber | Africa (MDPA)

28 rows - 1 Africa country/area - 2016-2022 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 28 rows from MDPA, covering Water Sales by Tariff of Subscriber. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

Source-provided context: The data shows the water sales by tariff of subscribers for island of Mauritius for the year 2016 to 2022

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	28
Countries/areas	1
First period	2016
Last period	2022
Indicators	0
Columns	55
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
MU	28	2016	2022	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.	ff1be866-1f8f-4c16-af99-f14cd51ddfb5:tab16:0
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.	TAB16
column_1	string	Source column from the original resource.	``
domestic	string	Source column from the original resource.	Public Sector Agency
d_365971	double	Source column from the original resource.	2587.0
d_92_92495588253963	double	Source column from the original resource.	0.6568740716289817
d_85053_399	double	Source column from the original resource.	4096.654
d_69_77075636118678	double	Source column from the original resource.	3.360555268697507
d_832555_79997	double	Source column from the original resource.	98681.707
d_55_00829401135688	double	Source column from the original resource.	6.52005829806744
d_232_40475064964164	double	Source column from the original resource.	1583.5539234634712
d_9_788624672953988	double	Source column from the original resource.	24.088367482340463
d_372734	double	Source column from the original resource.	2603.0
d_92_94069244099789	double	Source column from the original resource.	0.649054345522323
d_87497_492	double	Source column from the original resource.	4338.04
d_68_68942650464635	double	Source column from the original resource.	3.40555452439958
d_870695_6203399999	double	Source column from the original resource.	104306.187
d_53_14584534898735	double	Source column from the original resource.	6.366680104672956
d_234_74513191713126	double	Source column from the original resource.	1666.5539761813293
d_9_951092316337478	double	Source column from the original resource.	24.04454246618289
source_period_start_year	int64	Start year inferred from source metadata.	2016
source_period_end_year	int64	End year inferred from source metadata.	2022
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2016-2022
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.	Water sales by tariff of subscriber
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Energy_Water_Yr22_060623_Source_File.xlsx
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	9584b934-20df-4dd5-98e7-e3ff15f7aa8e
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	ff1be866-1f8f-4c16-af99-f14cd51ddfb5
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/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
type_of_tariff	string	Source column from the original resource.	``
column_2	string	Source column from the original resource.	``
no_of_consumers	double	Source column from the original resource.	``
volume_sold_thousand_m3	double	Source column from the original resource.	``
amount_collectible_rs_000	double	Source column from the original resource.	``
average_sales_price_per_m3	double	Source column from the original resource.	``
no_of_consumers_2	double	Source column from the original resource.	``
volume_sold_thousand_m3_2	double	Source column from the original resource.	``
amount_collectible_rs_000_2	double	Source column from the original resource.	``
average_sales_price_per_m3_2	double	Source column from the original resource.	``
no_of_consumers_3	double	Source column from the original resource.	``
volume_sold_thousand_m3_3	double	Source column from the original resource.	``
amount_collectible_rs_000_3	double	Source column from the original resource.	``
average_sales_price_per_m3_3	double	Source column from the original resource.	``
no_of_consumers_4	double	Source column from the original resource.	``
volume_sold_thousand_m3_4	double	Source column from the original resource.	``
amount_collectible_rs_000_4	double	Source column from the original resource.	``
average_sales_price_per_m3_4	double	Source column from the original resource.	``
no_of_consumers_5	double	Source column from the original resource.	``
volume_sold_thousand_m3_5	double	Source column from the original resource.	``
amount_collectible_rs_000_5	double	Source column from the original resource.	``
average_sales_price_per_m3_5	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471")
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: Energy_Water_Yr22_060623_Source_File.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:30:12Z
• Hugging Face repo: electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471

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

• Analyze seasonal or annual patterns
• Join with agriculture or health data
• Map geographic exposure
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_mauritius_water_sales_by_tariff_of_subscriber_685f5471_2022,
  title        = {Water Sales by Tariff of Subscriber | Africa (MDPA)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/water-sales-tariff-subscriber},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471}}
}

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/water-sales-tariff-subscriber