Standardize Electric Sheep Africa dataset card

README.md

@@ -5,190 +5,208 @@ language:
 task_categories:
 - tabular-classification
 - tabular-regression
-multilinguality: monolingual
+multilinguality: multilingual
 size_categories:
 - n<1K
 tags:
-- tabular
-- xlsx
-- africa
-- mauritius
-- official-statistics
-- open-data
-- ict
+- "tabular"
+- "africa"
+- "open-data"
+- "official-statistics"
+- "mauritius"
+- "mdpa"
+- "economics"
+- "finance-and-trade"
+- "internet-banking"
+- "transaction"
 configs:
 - config_name: default
   data_files:
   - split: train
     path: data/train-00000-of-00001.parquet
-pretty_name: "Internet Banking Transactions | Africa (Mauritius official open data)"
+pretty_name: "Internet Banking Transactions | Africa (MDPA)"
 ---
 
-# Internet Banking Transactions | Africa (Mauritius official open data)
+# Internet Banking Transactions | Africa (MDPA)
 
-29 rows - 1 Africa country - 2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+**29 rows** - **1 Africa country/area** - **2021** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
 
 ![rows](https://img.shields.io/badge/rows-29-blue)
 ![countries](https://img.shields.io/badge/countries-1-green)
-![years](https://img.shields.io/badge/years-2021-orange)
+![period](https://img.shields.io/badge/period-2021-orange)
 ![indicators](https://img.shields.io/badge/indicators-0-purple)
-![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey)
+![license](https://img.shields.io/badge/license-cc--by--sa--4.0-lightgrey)
 
 ## TL;DR
 
-This dataset packages one official `XLSX` resource from **Mauritius** as
-ML-ready Parquet. The source file is the provenance boundary; all usable
-indicators or tabular columns from the resource stay together in this repo.
+This dataset contains **29 rows** from **MDPA**, covering **Internet Banking Transactions**. 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:** [Internet Banking Transactions](https://data.govmu.org/dataset/internet-banking-transactions)
-- **Publisher:** MDPA
-- **Resource:** [msb_january_2021_source_file_0.xlsx](https://data.govmu.org/dataset/d28eb6ce-74ad-4135-bd86-3d45ac60caff/resource/096f62b2-7131-4bdd-8679-0f515551a3ca/download/msb_january_2021_source_file_0.xlsx)
-- **Format:** `XLSX`
-- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
-- **Packaging mode:** `tabular_resource`
+Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.
+
+Source-provided context: The data shows number of monthly Internet Banking Transactions by year from year 2019 to August 2023
+
+## 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:** `year`.
+- **Time coverage basis:** year.
+- **Recommended join keys:** `country_iso3` where available plus source-specific keys.
+
+## Coverage
+
+| Dimension | Value |
+|---|---:|
+| Rows | 29 |
+| Countries/areas | 1 |
+| First period | 2021 |
+| Last period | 2021 |
+| Indicators | 0 |
+| Columns | 124 |
+| Source format | XLSX |
 
-## Geographic coverage
+## Geographic Coverage
 
-1 Africa country:
+Top areas shown below, sorted by row count when available:
 
-| Country | Rows | First year | Last year | Name |
-|---------|-----:|-----------:|----------:|------|
+| Area | Rows | First year | Last year | Name |
+|------|-----:|-----------:|----------:|------|
 | `MU` | 29 | 2021 | 2021 | `Mauritius` |
 
-## Indicators or Resource Contents
+## Indicators, Variables, Or Resource Contents
 
-- This source file is packaged as a normalized tabular resource.
+- 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 for tabular resources. | `096f62b2-7131-4bdd-8679-0f515551a3ca:39-40-41:0` |
-| `country_iso3` | `category` | ISO3 country code. | `MU` |
-| `country_name` | `category` | Country name. | `Mauritius` |
-| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `39-40-41` |
-| `year` | `Int64` | Observation year. | `2021` |
-| `number_of_transactions` | `string` | Source column. | `Value of Transactions (Rs million) 2` |
-| `d_4736872` | `string` | Source column. | `9717.931` |
-| `d_4319467` | `string` | Source column. | `8695.531` |
-| `d_4841422` | `string` | Source column. | `9537` |
-| `d_4758541` | `string` | Source column. | `9328.38` |
-| `d_4845776` | `string` | Source column. | `9365.379` |
-| `d_4496701` | `string` | Source column. | `8566.686` |
-| `d_4733299` | `string` | Source column. | `9187.151` |
-| `d_4753864` | `string` | Source column. | `9327.463` |
-| `d_4589854` | `string` | Source column. | `8899.062` |
-| `d_5016549` | `string` | Source column. | `10019.85` |
-| `d_4831238` | `string` | Source column. | `9953.074` |
-| `d_6407067` | `string` | Source column. | `14412.458` |
-| `d_4875444` | `string` | Source column. | `10301.35` |
-| `d_4576070` | `string` | Source column. | `9300.485` |
-| `d_5159362` | `string` | Source column. | `10679.24` |
-| `d_5247975` | `string` | Source column. | `11267.70279` |
-| `d_4677566` | `string` | Source column. | `9276.966` |
-| `d_5215652` | `string` | Source column. | `10612.598168220002` |
-| `d_5146740` | `string` | Source column. | `10549.572` |
-| `d_4946438` | `string` | Source column. | `9942` |
-| `d_5139787` | `string` | Source column. | `10729.645` |
-| `d_5093468` | `string` | Source column. | `10840.106` |
-| `d_6796552` | `string` | Source column. | `15747.024` |
-| `d_5089885` | `string` | Source column. | `11116.937` |
-| `d_4795824` | `string` | Source column. | `12597.385472539` |
-| `d_5439117` | `string` | Source column. | `11425` |
-| `d_5556138` | `string` | Source column. | `11616.533` |
-| `d_5635041` | `string` | Source column. | `11411.8463010512` |
-| `d_5320280` | `string` | Source column. | `10729.509122245256` |
-| `d_5507836` | `string` | Source column. | `11263.0062579179` |
-| `d_5233474` | `string` | Source column. | `10996.251` |
-| `d_5283765` | `string` | Source column. | `10655` |
-| `d_5542287` | `string` | Source column. | `11325.604` |
-| `d_5430649` | `string` | Source column. | `11628.968` |
-| `d_7185702` | `string` | Source column. | `17038.289164287296` |
-| `d_5576038` | `string` | Source column. | `11990.63` |
-| `d_5217581` | `string` | Source column. | `11039` |
-| `d_5980306` | `string` | Source column. | `12689.2040794632` |
-| `d_5385116` | `string` | Source column. | `11416` |
-| `d_5476327` | `string` | Source column. | `11568.88887716` |
-| `d_5381144` | `string` | Source column. | `11032.510691` |
-| `d_5583771` | `string` | Source column. | `11767` |
-| `d_5722712` | `string` | Source column. | `12212` |
-| `d_5278224` | `string` | Source column. | `10979.01516` |
-| `d_5641964` | `string` | Source column. | `12170` |
-| `d_5639078` | `string` | Source column. | `12319` |
-| `d_7340347` | `string` | Source column. | `17686.962684089995` |
-| `d_5541738` | `string` | Source column. | `12299.68105725` |
-| `d_5436047` | `string` | Source column. | `11863` |
-| `d_5734387` | `string` | Source column. | `12300` |
-| `d_5520603` | `string` | Source column. | `12047` |
-| `d_6001113` | `string` | Source column. | `12894.22292939` |
-| `d_5408488` | `string` | Source column. | `11442` |
-| `d_5762671` | `string` | Source column. | `12705.69796049` |
-| `d_6034651` | `string` | Source column. | `13047` |
-| `d_5574065` | `string` | Source column. | `11945` |
-| `d_6189540` | `string` | Source column. | `13772.597299` |
-| `d_5990000` | `string` | Source column. | `13412` |
-| `d_8031505` | `string` | Source column. | `19581.84666339` |
-| `d_6197949` | `string` | Source column. | `13905` |
-| `d_5467258` | `string` | Source column. | `12044.143946` |
-| `d_6180864` | `string` | Source column. | `13521` |
-| `d_5874355` | `string` | Source column. | `12691.390219` |
-| `d_6477234` | `string` | Source column. | `13828` |
-| `d_5857453` | `string` | Source column. | `12433.66978` |
-| `d_6305140` | `string` | Source column. | `13739` |
-| `d_6378216` | `string` | Source column. | `13832` |
-| `d_6056687` | `string` | Source column. | `12928` |
-| `d_6754415` | `string` | Source column. | `14819` |
-| `d_6368444` | `string` | Source column. | `14337` |
-| `d_8181811` | `string` | Source column. | `19660` |
-| `d_6383125` | `string` | Source column. | `14085` |
-| `d_6109633` | `string` | Source column. | `13453` |
-| `d_6979691` | `string` | Source column. | `15346` |
-| `d_6781194` | `string` | Source column. | `14776` |
-| `d_7170154` | `string` | Source column. | `15176` |
-| `d_6256345` | `string` | Source column. | `13286` |
-| `d_7092455` | `string` | Source column. | `15351` |
-| `d_6979838` | `string` | Source column. | `15464` |
-| `d_6511710` | `string` | Source column. | `13939.955345520002` |
-| `d_7300253` | `string` | Source column. | `16100.23082057` |
-| `d_6950183` | `string` | Source column. | `15625.218124` |
-| `d_8741586` | `string` | Source column. | `20245.2136058` |
-| `d_6933706` | `string` | Source column. | `14985.75747522` |
-| `d_6547750` | `string` | Source column. | `14321.07014962` |
-| `d_7382070` | `string` | Source column. | `15859.207719` |
-| `d_7541784` | `string` | Source column. | `16597.99111662` |
-| `d_7489177` | `string` | Source column. | `16490` |
-| `d_6826339` | `string` | Source column. | `14988` |
-| `d_7573108` | `string` | Source column. | `16605.33842344` |
-| `d_7493801` | `string` | Source column. | `17028` |
-| `d_7230248` | `string` | Source column. | `15798` |
-| `d_7884889` | `string` | Source column. | `17735` |
-| `d_7291162` | `string` | Source column. | `16416` |
-| `d_9844856` | `string` | Source column. | `24501` |
-| `d_7816420` | `string` | Source column. | `17953` |
-| `d_7442364` | `string` | Source column. | `16778.473102507` |
-| `d_6161186` | `string` | Source column. | `13821.229784` |
-| `d_3476151` | `string` | Source column. | `8216` |
-| `d_4918106` | `string` | Source column. | `12148` |
-| `d_7209048` | `string` | Source column. | `15959` |
-| `d_7512766` | `string` | Source column. | `16871` |
-| `d_7698972` | `string` | Source column. | `16727` |
-| `d_7498068` | `string` | Source column. | `15972` |
-| `d_7944895` | `string` | Source column. | `17293` |
-| `d_7996753` | `string` | Source column. | `17079` |
-| `d_10479089` | `string` | Source column. | `24877` |
-| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2021` |
-| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2021` |
-| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2021` |
-| `source_provider` | `category` | Publishing organization. | `MDPA` |
-| `source_dataset` | `category` | Source package title. | `Internet Banking Transactions` |
-| `source_resource` | `category` | Source resource title. | `msb_january_2021_source_file_0.xlsx` |
-| `source_package_id` | `category` | CKAN package UUID. | `d28eb6ce-74ad-4135-bd86-3d45ac60caff` |
-| `source_resource_id` | `category` | CKAN resource UUID. | `096f62b2-7131-4bdd-8679-0f515551a3ca` |
-| `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/d28eb6ce-74ad-4135-bd86-3d45ac60caff/reso` |
-| `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
-| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
+| `source_record_id` | `string` | Stable row identifier assigned during Electric Sheep Africa engineering. | `096f62b2-7131-4bdd-8679-0f515551a3ca:39-40-41:0` |
+| `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. | `39-40-41` |
+| `year` | `int64` | Observation year. | `2021` |
+| `number_of_transactions` | `string` | Source column from the original resource. | `Value of Transactions (Rs million) 2` |
+| `d_4736872` | `string` | Source column from the original resource. | `9717.931` |
+| `d_4319467` | `string` | Source column from the original resource. | `8695.531` |
+| `d_4841422` | `string` | Source column from the original resource. | `9537` |
+| `d_4758541` | `string` | Source column from the original resource. | `9328.38` |
+| `d_4845776` | `string` | Source column from the original resource. | `9365.379` |
+| `d_4496701` | `string` | Source column from the original resource. | `8566.686` |
+| `d_4733299` | `string` | Source column from the original resource. | `9187.151` |
+| `d_4753864` | `string` | Source column from the original resource. | `9327.463` |
+| `d_4589854` | `string` | Source column from the original resource. | `8899.062` |
+| `d_5016549` | `string` | Source column from the original resource. | `10019.85` |
+| `d_4831238` | `string` | Source column from the original resource. | `9953.074` |
+| `d_6407067` | `string` | Source column from the original resource. | `14412.458` |
+| `d_4875444` | `string` | Source column from the original resource. | `10301.35` |
+| `d_4576070` | `string` | Source column from the original resource. | `9300.485` |
+| `d_5159362` | `string` | Source column from the original resource. | `10679.24` |
+| `d_5247975` | `string` | Source column from the original resource. | `11267.70279` |
+| `d_4677566` | `string` | Source column from the original resource. | `9276.966` |
+| `d_5215652` | `string` | Source column from the original resource. | `10612.598168220002` |
+| `d_5146740` | `string` | Source column from the original resource. | `10549.572` |
+| `d_4946438` | `string` | Source column from the original resource. | `9942` |
+| `d_5139787` | `string` | Source column from the original resource. | `10729.645` |
+| `d_5093468` | `string` | Source column from the original resource. | `10840.106` |
+| `d_6796552` | `string` | Source column from the original resource. | `15747.024` |
+| `d_5089885` | `string` | Source column from the original resource. | `11116.937` |
+| `d_4795824` | `string` | Source column from the original resource. | `12597.385472539` |
+| `d_5439117` | `string` | Source column from the original resource. | `11425` |
+| `d_5556138` | `string` | Source column from the original resource. | `11616.533` |
+| `d_5635041` | `string` | Source column from the original resource. | `11411.8463010512` |
+| `d_5320280` | `string` | Source column from the original resource. | `10729.509122245256` |
+| `d_5507836` | `string` | Source column from the original resource. | `11263.0062579179` |
+| `d_5233474` | `string` | Source column from the original resource. | `10996.251` |
+| `d_5283765` | `string` | Source column from the original resource. | `10655` |
+| `d_5542287` | `string` | Source column from the original resource. | `11325.604` |
+| `d_5430649` | `string` | Source column from the original resource. | `11628.968` |
+| `d_7185702` | `string` | Source column from the original resource. | `17038.289164287296` |
+| `d_5576038` | `string` | Source column from the original resource. | `11990.63` |
+| `d_5217581` | `string` | Source column from the original resource. | `11039` |
+| `d_5980306` | `string` | Source column from the original resource. | `12689.2040794632` |
+| `d_5385116` | `string` | Source column from the original resource. | `11416` |
+| `d_5476327` | `string` | Source column from the original resource. | `11568.88887716` |
+| `d_5381144` | `string` | Source column from the original resource. | `11032.510691` |
+| `d_5583771` | `string` | Source column from the original resource. | `11767` |
+| `d_5722712` | `string` | Source column from the original resource. | `12212` |
+| `d_5278224` | `string` | Source column from the original resource. | `10979.01516` |
+| `d_5641964` | `string` | Source column from the original resource. | `12170` |
+| `d_5639078` | `string` | Source column from the original resource. | `12319` |
+| `d_7340347` | `string` | Source column from the original resource. | `17686.962684089995` |
+| `d_5541738` | `string` | Source column from the original resource. | `12299.68105725` |
+| `d_5436047` | `string` | Source column from the original resource. | `11863` |
+| `d_5734387` | `string` | Source column from the original resource. | `12300` |
+| `d_5520603` | `string` | Source column from the original resource. | `12047` |
+| `d_6001113` | `string` | Source column from the original resource. | `12894.22292939` |
+| `d_5408488` | `string` | Source column from the original resource. | `11442` |
+| `d_5762671` | `string` | Source column from the original resource. | `12705.69796049` |
+| `d_6034651` | `string` | Source column from the original resource. | `13047` |
+| `d_5574065` | `string` | Source column from the original resource. | `11945` |
+| `d_6189540` | `string` | Source column from the original resource. | `13772.597299` |
+| `d_5990000` | `string` | Source column from the original resource. | `13412` |
+| `d_8031505` | `string` | Source column from the original resource. | `19581.84666339` |
+| `d_6197949` | `string` | Source column from the original resource. | `13905` |
+| `d_5467258` | `string` | Source column from the original resource. | `12044.143946` |
+| `d_6180864` | `string` | Source column from the original resource. | `13521` |
+| `d_5874355` | `string` | Source column from the original resource. | `12691.390219` |
+| `d_6477234` | `string` | Source column from the original resource. | `13828` |
+| `d_5857453` | `string` | Source column from the original resource. | `12433.66978` |
+| `d_6305140` | `string` | Source column from the original resource. | `13739` |
+| `d_6378216` | `string` | Source column from the original resource. | `13832` |
+| `d_6056687` | `string` | Source column from the original resource. | `12928` |
+| `d_6754415` | `string` | Source column from the original resource. | `14819` |
+| `d_6368444` | `string` | Source column from the original resource. | `14337` |
+| `d_8181811` | `string` | Source column from the original resource. | `19660` |
+| `d_6383125` | `string` | Source column from the original resource. | `14085` |
+| `d_6109633` | `string` | Source column from the original resource. | `13453` |
+| `d_6979691` | `string` | Source column from the original resource. | `15346` |
+| `d_6781194` | `string` | Source column from the original resource. | `` |
+| `d_7170154` | `string` | Source column from the original resource. | `` |
+| `d_6256345` | `string` | Source column from the original resource. | `` |
+| `d_7092455` | `string` | Source column from the original resource. | `` |
+| `d_6979838` | `string` | Source column from the original resource. | `` |
+| `d_6511710` | `string` | Source column from the original resource. | `` |
+| `d_7300253` | `string` | Source column from the original resource. | `` |
+| `d_6950183` | `string` | Source column from the original resource. | `` |
+| `d_8741586` | `string` | Source column from the original resource. | `` |
+| `d_6933706` | `string` | Source column from the original resource. | `` |
+| `d_6547750` | `string` | Source column from the original resource. | `` |
+| `d_7382070` | `string` | Source column from the original resource. | `` |
+| `d_7541784` | `string` | Source column from the original resource. | `` |
+| `d_7489177` | `string` | Source column from the original resource. | `` |
+| `d_6826339` | `string` | Source column from the original resource. | `` |
+| `d_7573108` | `string` | Source column from the original resource. | `` |
+| `d_7493801` | `string` | Source column from the original resource. | `` |
+| `d_7230248` | `string` | Source column from the original resource. | `` |
+| `d_7884889` | `string` | Source column from the original resource. | `` |
+| `d_7291162` | `string` | Source column from the original resource. | `` |
+| `d_9844856` | `string` | Source column from the original resource. | `` |
+| `d_7816420` | `string` | Source column from the original resource. | `` |
+| `d_7442364` | `string` | Source column from the original resource. | `` |
+| `d_6161186` | `string` | Source column from the original resource. | `` |
+| `d_3476151` | `string` | Source column from the original resource. | `` |
+| `d_4918106` | `string` | Source column from the original resource. | `` |
+| `d_7209048` | `string` | Source column from the original resource. | `` |
+| `d_7512766` | `string` | Source column from the original resource. | `` |
+| `d_7698972` | `string` | Source column from the original resource. | `` |
+| `d_7498068` | `string` | Source column from the original resource. | `` |
+| `d_7944895` | `string` | Source column from the original resource. | `` |
+| `d_7996753` | `string` | Source column from the original resource. | `` |
+| `d_10479089` | `string` | Source column from the original resource. | `` |
+| `source_period_start_year` | `int64` | Start year inferred from source metadata. | `` |
+| `source_period_end_year` | `int64` | End year inferred from source metadata. | `` |
+| `source_period_label` | `dictionary<values=string, indices=int8, ordered=0>` | Source column from the original resource. | `` |
+| `source_provider` | `dictionary<values=string, indices=int8, ordered=0>` | Publishing organization. | `` |
+| `source_dataset` | `dictionary<values=string, indices=int8, ordered=0>` | Source dataset or package title. | `` |
+| `source_resource` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource title, table name, or file name. | `` |
+| `source_package_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source package identifier. | `` |
+| `source_resource_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source resource identifier. | `` |
+| `source_url` | `dictionary<values=string, indices=int8, ordered=0>` | Original source URL or download URL. | `` |
+| `license_id` | `dictionary<values=string, indices=int8, ordered=0>` | Source license identifier. | `` |
+| `retrieved_at` | `dictionary<values=string, indices=int8, ordered=0>` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `` |
 
 ## Usage
 
@@ -200,29 +218,77 @@ df = ds["train"].to_pandas()
 print(df.head())
 ```
 
-### Filter to one country
+### Inspect Columns
 
 ```python
-sample_country = df[df["country_iso3"] == "MU"]
+print(df.info())
+print(df.head())
 ```
 
-### Work with indicators
+### Filter By Geography
 
 ```python
-if "indicator_id" in df.columns:
-    print(df["indicator_id"].value_counts().head())
-    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
+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
+
+- 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/internet-banking-transactions)
+- **Publisher:** MDPA
+- **Portal:** [https://data.govmu.org](https://data.govmu.org)
+- **Resource:** [msb_january_2021_source_file_0.xlsx](https://data.govmu.org/dataset/d28eb6ce-74ad-4135-bd86-3d45ac60caff/resource/096f62b2-7131-4bdd-8679-0f515551a3ca/download/msb_january_2021_source_file_0.xlsx)
+- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+- **Retrieved/generated:** `2026-08-08T17:07:57Z`
+- **Hugging Face repo:** [electricsheepafrica/africa-mauritius-internet-banking-transactions-3c7cc06f](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-internet-banking-transactions-3c7cc06f)
+
+## 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
+- Check missingness before modeling
+- Use `country_iso3` as the safest geography join key when present
+
 ## Citation
 
 ```bibtex
 @misc{electric_sheep_africa_africa_mauritius_internet_banking_transactions_3c7cc06f_2021,
-  title        = {Internet Banking Transactions | Africa (Mauritius official open data)},
+  title        = {Internet Banking Transactions | Africa (MDPA)},
   author       = {MDPA},
   year         = {2021},
   url          = {https://data.govmu.org/dataset/internet-banking-transactions},
-  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-internet-banking-transactions-3c7cc06f}}
 }
 ```
@@ -231,20 +297,14 @@ if "indicator_id" in df.columns:
 
 Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/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 2026-08-08 via the Electric Sheep pipeline. Source URL:
-https://data.govmu.org/dataset/d28eb6ce-74ad-4135-bd86-3d45ac60caff/resource/096f62b2-7131-4bdd-8679-0f515551a3ca/download/msb_january_2021_source_file_0.xlsx
+Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/internet-banking-transactions