README.md

metadata

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

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

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

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

• 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
• Publisher: MDPA
• Portal: https://data.govmu.org
• Resource: msb_january_2021_source_file_0.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-08T16:29:50Z
• Hugging Face repo: 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

@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.

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