--- license: cc-by-4.0 language: - en task_categories: - tabular-regression - time-series-forecasting multilinguality: multilingual size_categories: - n<1K tags: - "tabular" - "africa" - "open-data" - "official-statistics" - "mauritius" - "mdpa" - "transport" - "ict-and-telecom" - "internet" - "mobile-phone" - "sms" - "telephone" - "traffic" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Ict Infrastructure Readiness Indicators 2022 to 2024 | Africa (MDPA)" --- # Ict Infrastructure Readiness Indicators 2022 to 2024 | Africa (MDPA) **145 rows** - **1 Africa country/area** - **2022-2024** - **1 indicator** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-145-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-2022--2024-orange) ![indicators](https://img.shields.io/badge/indicators-1-purple) ![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey) ## TL;DR This dataset contains **145 rows** from **MDPA**, covering **Ict Infrastructure Readiness Indicators 2022 to 2024**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. ## What This Dataset Measures Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services. Source-provided context: The data shows indicators for ICT Infrastructure Readiness Indicators from 2022 to 2024 ## How To Read This Dataset - **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`. ## Coverage | Dimension | Value | |---|---:| | Rows | 145 | | Countries/areas | 1 | | First period | 2022 | | Last period | 2024 | | Indicators | 1 | | Columns | 20 | | Source format | CSV | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `MU` | 145 | 2022 | 2024 | `Mauritius` | ## Indicators, Variables, Or Resource Contents - `ict-infrastructure-readiness-indicators-2022-to-2024-3e404fa1` - ICT Infrastructure Readiness Indicators 2022 to 2024(source_units_unspecified) ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `indicator_id` | `string` | Stable source or Electric Sheep Africa indicator identifier. | `ict-infrastructure-readiness-indicators-2022-to-2024-3e404fa1` | | `indicator_name` | `string` | Human-readable indicator name. | `ICT Infrastructure Readiness Indicators 2022 to 2024` | | `country_iso3` | `string` | ISO3 country or area code. | `MU` | | `country_name` | `string` | Country or area name. | `Mauritius` | | `year` | `int64` | Observation year. | `2022` | | `value` | `double` | Numeric observation value. | `462100.0` | | `unit` | `string` | Measurement unit, when supplied by the source. | `source_units_unspecified` | | `dimension_indicator` | `string` | Source dimension retained during long-form normalization. | `Fixed telephone subscriptions` | | `dimension_category` | `string` | Source dimension retained during long-form normalization. | `` | | `source_period_start_year` | `int64` | Start year inferred from source metadata. | `2022` | | `source_period_end_year` | `int64` | End year inferred from source metadata. | `2024` | | `source_period_label` | `dictionary` | Source column from the original resource. | `2022-2024` | | `source_provider` | `dictionary` | Publishing organization. | `MDPA` | | `source_dataset` | `dictionary` | Source dataset or package title. | `ICT Infrastructure Readiness Indicators 2022 to 2024` | | `source_resource` | `dictionary` | Source resource title, table name, or file name. | `ict-infrastructure 2022 to 2024.csv` | | `source_package_id` | `dictionary` | Source package identifier. | `8b15c3f0-a792-4822-9d93-c9057de162ee` | | `source_resource_id` | `dictionary` | Source resource identifier. | `efb32534-a60f-492e-a08b-9aae20605cca` | | `source_url` | `dictionary` | Original source URL or download URL. | `https://data.govmu.org/dataset/8b15c3f0-a792-4822-9d93-c9057de162ee/r...` | | `license_id` | `dictionary` | Source license identifier. | `cc-by` | | `retrieved_at` | `dictionary` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-08T16:26:20Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-mauritius-ict-infrastructure-readiness-indicators-2022-to-2024-5ce5b122") 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/ict-infrastructure-readiness-indicators-2022-to-2024) - **Publisher:** MDPA - **Portal:** [https://data.govmu.org](https://data.govmu.org) - **Resource:** [ict-infrastructure 2022 to 2024.csv](https://data.govmu.org/dataset/8b15c3f0-a792-4822-9d93-c9057de162ee/resource/efb32534-a60f-492e-a08b-9aae20605cca/download/ict-infrastructure-2022-to-2024.csv) - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) - **Retrieved/generated:** `2026-08-08T16:26:41Z` - **Hugging Face repo:** [electricsheepafrica/africa-mauritius-ict-infrastructure-readiness-indicators-2022-to-2024-5ce5b122](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-infrastructure-readiness-indicators-2022-to-2024-5ce5b122) ## 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 - Track mobility over time - Compare routes or geographies - Join with economic and population 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_ict_infrastructure_readiness_indicators_2022_to_2024_5ce5b122_2024, title = {Ict Infrastructure Readiness Indicators 2022 to 2024 | Africa (MDPA)}, author = {MDPA}, year = {2024}, url = {https://data.govmu.org/dataset/ict-infrastructure-readiness-indicators-2022-to-2024}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-ict-infrastructure-readiness-indicators-2022-to-2024-5ce5b122}} } ``` ## License Released under [CC BY 4.0](https://creativecommons.org/licenses/by/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/ict-infrastructure-readiness-indicators-2022-to-2024