--- 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" - "internet-banking" - "transaction" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Internet Banking Transactions | Africa (MDPA)" --- # Internet Banking Transactions | Africa (MDPA) **31 rows** - **1 Africa country/area** - **2022** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-31-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-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 **31 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. ## 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 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 | 31 | | Countries/areas | 1 | | First period | 2022 | | Last period | 2022 | | Indicators | 0 | | Columns | 136 | | Source format | XLSX | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `MU` | 31 | 2022 | 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. | `00616411-8409-4227-a238-d29706c9cfcf:31-32-33:0` | | `country_iso3` | `dictionary` | ISO3 country or area code. | `MU` | | `country_name` | `dictionary` | Country or area name. | `Mauritius` | | `source_sheet` | `string` | Source column from the original resource. | `31-32-33` | | `year` | `int64` | Observation year. | `2022` | | `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. | `` | | `d_7580807` | `string` | Source column from the original resource. | `` | | `d_7574366` | `string` | Source column from the original resource. | `` | | `d_6141863` | `string` | Source column from the original resource. | `` | | `d_6034299` | `string` | Source column from the original resource. | `` | | `d_8229121` | `string` | Source column from the original resource. | `` | | `d_7636198` | `string` | Source column from the original resource. | `` | | `d_8219719` | `string` | Source column from the original resource. | `` | | `d_8533111` | `string` | Source column from the original resource. | `` | | `d_8227080` | `string` | Source column from the original resource. | `` | | `d_8832962` | `string` | Source column from the original resource. | `` | | `d_9124192` | `string` | Source column from the original resource. | `` | | `d_11445777` | `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` | Source column from the original resource. | `` | | `source_provider` | `dictionary` | Publishing organization. | `` | | `source_dataset` | `dictionary` | Source dataset or package title. | `` | | `source_resource` | `dictionary` | Source resource title, table name, or file name. | `` | | `source_package_id` | `dictionary` | Source package identifier. | `` | | `source_resource_id` | `dictionary` | Source resource identifier. | `` | | `source_url` | `dictionary` | Original source URL or download URL. | `` | | `license_id` | `dictionary` | Source license identifier. | `` | | `retrieved_at` | `dictionary` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-mauritius-internet-banking-transactions-e078386f") 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/internet-banking-transactions) - **Publisher:** MDPA - **Portal:** [https://data.govmu.org](https://data.govmu.org) - **Resource:** [msb_january_2022_0_sourceFile_0.xlsx](https://data.govmu.org/dataset/d28eb6ce-74ad-4135-bd86-3d45ac60caff/resource/00616411-8409-4227-a238-d29706c9cfcf/download/msb_january_2022_0_sourcefile_0.xlsx) - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) - **Retrieved/generated:** `2026-08-08T17:07:55Z` - **Hugging Face repo:** [electricsheepafrica/africa-mauritius-internet-banking-transactions-e078386f](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-internet-banking-transactions-e078386f) ## 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_e078386f_2022, title = {Internet Banking Transactions | Africa (MDPA)}, author = {MDPA}, year = {2022}, url = {https://data.govmu.org/dataset/internet-banking-transactions}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-internet-banking-transactions-e078386f}} } ``` ## 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/internet-banking-transactions