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africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5

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tabular
africa
open-data
official-statistics
mauritius
mdpa
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africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5 / README.md
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---
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"
- "economics"
- "finance-and-trade"
- "mobile"
- "mobile-banking"
- "mobile-payments"
configs:
- config_name: default
 data_files:
 - split: train
 path: data/train-00000-of-00001.parquet
pretty_name: "Mobile Banking and Mobile Payments | Africa (MDPA)"
---
# Mobile Banking and Mobile Payments | Africa (MDPA)
**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)
![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)
## TL;DR
This dataset contains **29 rows** from **MDPA**, covering **Mobile Banking and Mobile Payments**. 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: The data shows number of monthly Mobile Banking and Mobile Payments 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
Top areas shown below, sorted by row count when available:
| Area | Rows | First year | Last year | Name |
|------|-----:|-----------:|----------:|------|
| `MU` | 29 | 2021 | 2021 | `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. | `97d970ad-2317-4f9f-8bbf-87c7c62bc6a0:39-40-41:0` |
| `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
```python
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5")
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
- 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/mobile-banking-and-mobile-payments)
- **Publisher:** MDPA
- **Portal:** [https://data.govmu.org](https://data.govmu.org)
- **Resource:** [msb_january_2021_source_file_0.xlsx](https://data.govmu.org/dataset/63292598-7815-423e-9b58-182406e425c4/resource/97d970ad-2317-4f9f-8bbf-87c7c62bc6a0/download/msb_january_2021_source_file_0.xlsx)
- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
- **Retrieved/generated:** `2026-08-08T16:29:50Z`
- **Hugging Face repo:** [electricsheepafrica/africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5)
## 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_mobile_banking_and_mobile_payments_a363a6f5_2021,
 title = {Mobile Banking and Mobile Payments | Africa (MDPA)},
 author = {MDPA},
 year = {2021},
 url = {https://data.govmu.org/dataset/mobile-banking-and-mobile-payments},
 publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
 howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-mobile-banking-and-mobile-payments-a363a6f5}}
}
```
## 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/mobile-banking-and-mobile-payments