README.md

---
license: cc-by-sa-4.0
language:
- en
task_categories:
- tabular-classification
- tabular-regression
multilinguality: multilingual
size_categories:
- n<1K
tags:
- "tabular"
- "africa"
- "open-data"
- "official-statistics"
- "mauritius"
- "mdpa"
- "climate"
- "environment-and-natural-resources"
- "commercial"
- "domestic"
- "industrial"
- "religious"
- "water"
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-00000-of-00001.parquet
pretty_name: "Water Sales by Tariff of Subscriber | Africa (MDPA)"
---

# Water Sales by Tariff of Subscriber | Africa (MDPA)

**28 rows** - **1 Africa country/area** - **2016-2022** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*

![rows](https://img.shields.io/badge/rows-28-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![period](https://img.shields.io/badge/period-2016--2022-orange)
![indicators](https://img.shields.io/badge/indicators-0-purple)
![license](https://img.shields.io/badge/license-cc--by--sa--4.0-lightgrey)

## 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

```python
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

```python
print(df.info())
print(df.head())
```

### Filter By Geography

```python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "MU"]
```

### Time-Series Pattern

```python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")
```

### Pivot For Analysis

```python
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](https://data.govmu.org/dataset/water-sales-tariff-subscriber)
- **Publisher:** MDPA
- **Portal:** [https://data.govmu.org](https://data.govmu.org)
- **Resource:** [Energy_Water_Yr22_060623_Source_File.xlsx](https://data.govmu.org/dataset/9584b934-20df-4dd5-98e7-e3ff15f7aa8e/resource/ff1be866-1f8f-4c16-af99-f14cd51ddfb5/download/energy_water_yr22_060623_source_file.xlsx)
- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
- **Retrieved/generated:** `2026-08-08T16:30:12Z`
- **Hugging Face repo:** [electricsheepafrica/africa-mauritius-water-sales-by-tariff-of-subscriber-685f5471](https://huggingface.co/datasets/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

```bibtex
@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](https://creativecommons.org/licenses/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.

---

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/water-sales-tariff-subscriber