Standardize Electric Sheep Africa dataset card

README.md

@@ -5,80 +5,104 @@ language:
 task_categories:
 - tabular-regression
 - time-series-forecasting
-multilinguality: monolingual
+multilinguality: multilingual
 size_categories:
 - n<1K
 tags:
 - tabular
 - africa
-- mauritius
-- official-statistics
 - open-data
-- time-series
-- energy
+- official-statistics
+- mauritius
+- mdpa
 - economics
-pretty_name: "Imports value of energy sources 2021 - 2024 - Charcoal | Africa (Mauritius official open data)"
+- 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 - Charcoal | Africa (MDPA)"
 ---
 
-# Imports value of energy sources 2021 - 2024 - Charcoal | Africa (Mauritius official open data)
+# Imports value of energy sources 2021 - 2024 - Charcoal | Africa (MDPA)
 
-4 observations - 1 Africa country - 2021-2024 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+**4 rows** - **1 Africa country/area** - **2021-2024** - **1 indicator** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
 ![rows](https://img.shields.io/badge/rows-4-blue)
 ![countries](https://img.shields.io/badge/countries-1-green)
-![years](https://img.shields.io/badge/years-2021-2024-orange)
+![period](https://img.shields.io/badge/period-2021--2024-orange)
 ![indicators](https://img.shields.io/badge/indicators-1-purple)
-![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey)
 
 ## TL;DR
 
-This dataset contains **4 observations** of `Imports value of energy sources 2021 - 2024 - Charcoal` data for
-**Mauritius**, spanning **2021-2024**, normalized from an official open
-data resource into ML-ready long-form Parquet.
+This dataset contains **4 rows** from **MDPA**, covering **Imports value of energy sources 2021 - 2024 - Charcoal**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
 
-## About the source
+## What This Dataset Measures
 
-- **Source:** [Imports value of energy sources 2021 - 2024](https://data.govmu.org/dataset/imports-value-of-energy-sources-2021-2024)
-- **Publisher:** MDPA
-- **Resource:** [Imports value of energy sources 2021 - 2024.csv](https://data.govmu.org/dataset/3b271e76-0a91-437e-acfa-4997b0707b95/resource/0acca499-fa33-4354-8a7f-fdc1bfdf0062/download/imports-value-of-energy-sources-2021-2024.csv)
-- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
-- **Original value column:** `Charcoal`
+Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.
 
-## Geographic coverage
+Source-provided context: Dataset shows the Imports value of energy sources from 2021 to 2024
 
-1 Africa country:
+## How To Read This Dataset
 
-| Country | Rows | First year | Last year | Name |
-|---------|-----:|-----------:|----------:|------|
-| `MUS` | 4 | 2021 | 2024 | `Mauritius` |
+- **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`.
 
-## Indicators
+## Coverage
 
-- `imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6` - Imports value of energy sources 2021 - 2024 - Charcoal
+| Dimension | Value |
+|---|---:|
+| Rows | 4 |
+| Countries/areas | 1 |
+| First period | 2021 |
+| Last period | 2024 |
+| Indicators | 1 |
+| Columns | 15 |
+| Source format | CSV |
 
-## Dimensions
+## Geographic Coverage
 
-none
+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-charcoal-a0f576b6` - Imports value of energy sources 2021 - 2024 - Charcoal(source_units_unspecified)
 
 ## Schema
 
 | Column | Type | Description | Example |
 |--------|------|-------------|---------|
-| `indicator_id` | `object` | Stable indicator slug. | `imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6` |
-| `indicator_name` | `object` | Human-readable indicator name. | `Imports value of energy sources 2021 - 2024 - Charcoal` |
-| `country_iso3` | `object` | ISO3 country code. | `MUS` |
-| `country_name` | `object` | Country name. | `Mauritius` |
-| `year` | `Int64` | Observation year. | `2021` |
-| `value` | `float64` | Numeric observation value. | `5434.0` |
-| `unit` | `object` | Measurement unit, when available. | `source_units_unspecified` |
-| `source_provider` | `object` | Publishing organization. | `MDPA` |
-| `source_dataset` | `object` | Source package title. | `Imports value of energy sources 2021 - 2024` |
-| `source_resource` | `object` | Source resource title. | `Imports value of energy sources 2021 - 2024.csv` |
-| `source_package_id` | `object` | - | `3b271e76-0a91-437e-acfa-4997b0707b95` |
-| `source_resource_id` | `object` | - | `0acca499-fa33-4354-8a7f-fdc1bfdf0062` |
-| `source_url` | `object` | Original resource URL. | `https://data.govmu.org/dataset/3b271e76-0a91-437e-acfa-4997b0707b95/reso` |
-| `license_id` | `object` | Source license identifier. | `cc-by` |
-| `retrieved_at` | `object` | UTC source retrieval timestamp. | `2026-07-16T18:12:36Z` |
+| `indicator_id` | `string` | Stable source or Electric Sheep Africa indicator identifier. | `imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6` |
+| `indicator_name` | `string` | Human-readable indicator name. | `Imports value of energy sources 2021 - 2024 - Charcoal` |
+| `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. | `5434.0` |
+| `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
 
@@ -90,37 +114,78 @@ df = ds["train"].to_pandas()
 print(df.head())
 ```
 
-### Filter to one country
+### Inspect Columns
 
 ```python
-sample_country = df[df["country_iso3"] == "MUS"]
+print(df.info())
+print(df.head())
 ```
 
-### Time-series
+### Filter By Geography
 
 ```python
-sample = df.sort_values("year")
-sample.plot(x="year", y="value", title="imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6")
+if "country_iso3" in df.columns:
+    sample = df[df["country_iso3"] == "MUS"]
 ```
 
-### Pivot by dimensions
+### Time-Series Pattern
 
 ```python
-dimension_cols = [c for c in df.columns if c.startswith("dimension_")]
-if dimension_cols:
-    matrix = df.pivot_table(index="year", columns=dimension_cols, values="value")
+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
+
+- 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](https://data.govmu.org/dataset/imports-value-of-energy-sources-2021-2024)
+- **Publisher:** MDPA
+- **Portal:** [https://data.govmu.org](https://data.govmu.org)
+- **Resource:** [Imports value of energy sources 2021 - 2024.csv](https://data.govmu.org/dataset/3b271e76-0a91-437e-acfa-4997b0707b95/resource/0acca499-fa33-4354-8a7f-fdc1bfdf0062/download/imports-value-of-energy-sources-2021-2024.csv)
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Retrieved/generated:** `2026-07-16T18:12:42Z`
+- **Hugging Face repo:** [electricsheepafrica/africa-mauritius-imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-imports-value-of-energy-sources-2021-2024-charcoal-a0f576b6)
+
+## 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
 
 ```bibtex
 @misc{electric_sheep_africa_africa_mauritius_imports_value_of_energy_sources_2021_2024_charcoal_a0f576b6_2024,
-  title        = {Imports value of energy sources 2021 - 2024 - Charcoal | Africa (Mauritius official open data)},
+  title        = {Imports value of energy sources 2021 - 2024 - Charcoal | Africa (MDPA)},
   author       = {MDPA},
   year         = {2024},
   url          = {https://data.govmu.org/dataset/imports-value-of-energy-sources-2021-2024},
-  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  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-charcoal-a0f576b6}}
 }
 ```
@@ -129,20 +194,14 @@ if dimension_cols:
 
 Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
 
-Original data (c) MDPA. When using this dataset, please cite both the
-original source above and the Electric Sheep Africa repackaging.
-
-## About Electric Sheep
+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.
 
-Electric Sheep Africa is part of the Electric Sheep mission: a unified,
-ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
-open sources, normalize the schemas, package as Parquet, and publish with
-consistent dataset cards so researchers and developers can use `load_dataset()`
-to start working in seconds.
+## About Electric Sheep Africa
 
-Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
 
 ---
 
-Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL:
-https://data.govmu.org/dataset/3b271e76-0a91-437e-acfa-4997b0707b95/resource/0acca499-fa33-4354-8a7f-fdc1bfdf0062/download/imports-value-of-energy-sources-2021-2024.csv
+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