--- 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" - "travel-and-tourism" - "earnings" - "tourism" - "tourist" - "value-added" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Earnings and Value Added of the Tourism Sector | Africa (MDPA)" --- # Earnings and Value Added of the Tourism Sector | Africa (MDPA) **796 rows** - **1 Africa country/area** - **1980-2022** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-796-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-1980--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 **796 rows** from **MDPA**, covering **Earnings and Value Added of the Tourism Sector**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. ## What This Dataset Measures Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals. Source-provided context: Dataset shows Tourism Earnings, % contribution to GDP and Value Added (at current basic prices) of the Tourism Sector as from 1983 ## 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 | 796 | | Countries/areas | 1 | | First period | 1980 | | Last period | 2022 | | Indicators | 0 | | Columns | 194 | | Source format | XLS | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `MU` | 796 | 1980 | 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. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7:table-of-contents: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. | `Table of contents` | | `year` | `double` | Observation year. | `1983.0` | | `d_5a` | `string` | Source column from the original resource. | `5b` | | `tourist_arrivals_by_country_of_residence_1983_2012` | `string` | Source column from the original resource. | `Tourist arrivals by country of residence (covering a wider range of c...` | | `source_period_start_year` | `int64` | Start year inferred from source metadata. | `1983` | | `source_period_end_year` | `int64` | End year inferred from source metadata. | `1983` | | `source_period_label` | `dictionary` | Source column from the original resource. | `1983` | | `source_provider` | `dictionary` | Publishing organization. | `MDPA` | | `source_dataset` | `dictionary` | Source dataset or package title. | `Earnings and Value Added of the Tourism Sector` | | `source_resource` | `dictionary` | Source resource title, table name, or file name. | `HS_Tourism_Yr22_250523_0.xls` | | `source_package_id` | `dictionary` | Source package identifier. | `bf849e4c-49ca-4c54-8d9f-a05710082cab` | | `source_resource_id` | `dictionary` | Source resource identifier. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7` | | `source_url` | `dictionary` | Original source URL or download URL. | `https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/r...` | | `license_id` | `dictionary` | Source license identifier. | `CC-BY-SA-4.0` | | `retrieved_at` | `dictionary` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-08T16:26:20Z` | | `d_1` | `double` | Source column from the original resource. | `` | | `tourist` | `string` | Source column from the original resource. | `` | | `a_tourist_is_defined_as_a_non_resident_staying_overnight` | `string` | Source column from the original resource. | `` | | `1980` | `double` | Source column from the original resource. | `` | | `d_163230` | `double` | Source column from the original resource. | `` | | `d_167269` | `double` | Source column from the original resource. | `` | | `d_6042` | `string` | Source column from the original resource. | `` | | `d_5722` | `double` | Source column from the original resource. | `` | | `country_of_disembarkation` | `string` | Source column from the original resource. | `` | | `1983` | `double` | Source column from the original resource. | `` | | `1984` | `double` | Source column from the original resource. | `` | | `1985` | `double` | Source column from the original resource. | `` | | `1986` | `double` | Source column from the original resource. | `` | | `1987` | `double` | Source column from the original resource. | `` | | `1988` | `double` | Source column from the original resource. | `` | | `1989` | `double` | Source column from the original resource. | `` | | `1990` | `double` | Source column from the original resource. | `` | | `1991` | `double` | Source column from the original resource. | `` | | `1992` | `double` | Source column from the original resource. | `` | | `1993` | `double` | Source column from the original resource. | `` | | `1994` | `double` | Source column from the original resource. | `` | | `1995` | `double` | Source column from the original resource. | `` | | `1996` | `double` | Source column from the original resource. | `` | | `1997` | `double` | Source column from the original resource. | `` | | `1998` | `double` | Source column from the original resource. | `` | | `1999` | `double` | Source column from the original resource. | `` | | `2000` | `double` | Source column from the original resource. | `` | | `2001` | `double` | Source column from the original resource. | `` | | `2002` | `double` | Source column from the original resource. | `` | | `2003` | `double` | Source column from the original resource. | `` | | `2004` | `double` | Source column from the original resource. | `` | | `2005` | `double` | Source column from the original resource. | `` | | `2006` | `double` | Source column from the original resource. | `` | | `2007` | `double` | Source column from the original resource. | `` | | `2008` | `double` | Source column from the original resource. | `` | | `2009` | `double` | Source column from the original resource. | `` | | `2010` | `double` | Source column from the original resource. | `` | | `2011` | `double` | Source column from the original resource. | `` | | `2012` | `double` | Source column from the original resource. | `` | | `2013` | `double` | Source column from the original resource. | `` | | `2014` | `double` | Source column from the original resource. | `` | | `2015` | `double` | Source column from the original resource. | `` | | `2016` | `double` | Source column from the original resource. | `` | | `2017` | `double` | Source column from the original resource. | `` | | `2018` | `double` | Source column from the original resource. | `` | | `2019` | `double` | Source column from the original resource. | `` | | `2020` | `double` | Source column from the original resource. | `` | | `2021` | `double` | Source column from the original resource. | `` | | `2022` | `double` | Source column from the original resource. | `` | | `month_of_arrival` | `string` | Source column from the original resource. | `` | | `1974` | `double` | Source column from the original resource. | `` | | `1975` | `double` | Source column from the original resource. | `` | | `1976` | `double` | Source column from the original resource. | `` | | `1977` | `double` | Source column from the original resource. | `` | | `1978` | `double` | Source column from the original resource. | `` | | `1979` | `double` | Source column from the original resource. | `` | | `1981` | `double` | Source column from the original resource. | `` | | `1982` | `double` | Source column from the original resource. | `` | | `country_of_residence` | `string` | Source column from the original resource. | `` | | `europe` | `string` | Source column from the original resource. | `` | | `d_547061` | `double` | Source column from the original resource. | `` | | `d_570684` | `double` | Source column from the original resource. | `` | | `d_631627` | `double` | Source column from the original resource. | `` | | `d_734506` | `double` | Source column from the original resource. | `` | | `d_780209` | `double` | Source column from the original resource. | `` | | `d_824334` | `double` | Source column from the original resource. | `` | | `d_835946` | `double` | Source column from the original resource. | `` | | `d_207641` | `double` | Source column from the original resource. | `` | | `d_145812` | `double` | Source column from the original resource. | `` | | `d_674511` | `double` | Source column from the original resource. | `` | | `d_55_1` | `double` | Source column from the original resource. | `` | | `d_55` | `double` | Source column from the original resource. | `` | | `d_54_9` | `double` | Source column from the original resource. | `` | | `d_57_6` | `double` | Source column from the original resource. | `` | | `d_58_1` | `double` | Source column from the original resource. | `` | | `d_58_9` | `double` | Source column from the original resource. | `` | | `d_60_4` | `double` | Source column from the original resource. | `` | | `d_67_2` | `double` | Source column from the original resource. | `` | | `d_81_1` | `double` | Source column from the original resource. | `` | | `d_67_6` | `double` | Source column from the original resource. | `` | | `tourism_earnings_1_rs_million` | `double` | Source column from the original resource. | `` | | `value_added_2_rs_million` | `string` | Source column from the original resource. | `` | | `contribution_to_gdp_2` | `string` | Source column from the original resource. | `` | | `food_service` | `double` | Source column from the original resource. | `` | | `hotels` | `double` | Source column from the original resource. | `` | | `travel_other_services_2` | `double` | Source column from the original resource. | `` | | `total_tourism_industry` | `double` | Source column from the original resource. | `` | | `d_470` | `double` | Source column from the original resource. | `` | | `d_114610` | `double` | Source column from the original resource. | `` | | `d_115080` | `double` | Source column from the original resource. | `` | | `d_1301730` | `double` | Source column from the original resource. | `` | | `d_43` | `double` | Source column from the original resource. | `` | | `d_4000` | `double` | Source column from the original resource. | `` | | `september` | `string` | Source column from the original resource. | `` | | `d_66_8` | `double` | Source column from the original resource. | `` | | `d_56_8` | `string` | Source column from the original resource. | `` | | `d_82_9` | `double` | Source column from the original resource. | `` | | `d_74_4` | `double` | Source column from the original resource. | `` | | `d_84_9` | `double` | Source column from the original resource. | `` | | `d_75_9` | `double` | Source column from the original resource. | `` | | `d_81` | `double` | Source column from the original resource. | `` | | `d_73_4` | `double` | Source column from the original resource. | `` | | `d_74_5` | `double` | Source column from the original resource. | `` | | `d_67_4` | `double` | Source column from the original resource. | `` | | `d_63_9` | `double` | Source column from the original resource. | `` | | `d_59_1` | `double` | Source column from the original resource. | `` | | `d_67_9` | `double` | Source column from the original resource. | `` | | `d_63_5` | `double` | Source column from the original resource. | `` | | `d_72_3` | `double` | Source column from the original resource. | `` | | `d_66_5` | `double` | Source column from the original resource. | `` | | `d_76` | `double` | Source column from the original resource. | `` | | `d_71` | `double` | Source column from the original resource. | `` | | `d_73` | `double` | Source column from the original resource. | `` | | `d_67` | `double` | Source column from the original resource. | `` | | `d_77` | `double` | Source column from the original resource. | `` | | `d_68` | `double` | Source column from the original resource. | `` | | `d_85` | `double` | Source column from the original resource. | `` | | `d_75` | `double` | Source column from the original resource. | `` | | `d_82` | `double` | Source column from the original resource. | `` | | `d_72` | `double` | Source column from the original resource. | `` | | `d_77_2` | `double` | Source column from the original resource. | `` | | `d_68_2` | `double` | Source column from the original resource. | `` | | `d_76_2` | `double` | Source column from the original resource. | `` | | `d_74` | `double` | Source column from the original resource. | `` | | `d_66` | `double` | Source column from the original resource. | `` | | `d_76_3` | `double` | Source column from the original resource. | `` | | `d_68_3` | `double` | Source column from the original resource. | `` | | `d_67_3` | `double` | Source column from the original resource. | `` | | `d_59` | `double` | Source column from the original resource. | `` | | `d_69` | `double` | Source column from the original resource. | `` | | `d_62` | `double` | Source column from the original resource. | `` | | `d_67_5` | `double` | Source column from the original resource. | `` | | `d_60` | `double` | Source column from the original resource. | `` | | `d_71_2` | `double` | Source column from the original resource. | `` | | `d_63` | `double` | Source column from the original resource. | `` | | `d_78` | `double` | Source column from the original resource. | `` | | `d_70` | `double` | Source column from the original resource. | `` | | `d_68_4` | `double` | Source column from the original resource. | `` | | `d_61` | `double` | Source column from the original resource. | `` | | `d_64` | `double` | Source column from the original resource. | `` | | `d_56` | `double` | Source column from the original resource. | `` | | `d_58` | `double` | Source column from the original resource. | `` | | `d_66_2` | `double` | Source column from the original resource. | `` | | `d_58_2` | `double` | Source column from the original resource. | `` | | `d_62_2` | `double` | Source column from the original resource. | `` | | `d_54` | `double` | Source column from the original resource. | `` | | `d_67_7` | `double` | Source column from the original resource. | `` | | `d_60_2` | `double` | Source column from the original resource. | `` | | `d_68_5` | `double` | Source column from the original resource. | `` | | `d_61_2` | `double` | Source column from the original resource. | `` | | `d_74_2` | `double` | Source column from the original resource. | `` | | `d_68_6` | `double` | Source column from the original resource. | `` | | `d_78_2` | `double` | Source column from the original resource. | `` | | `d_68_7` | `double` | Source column from the original resource. | `` | | `d_79` | `double` | Source column from the original resource. | `` | | `d_69_2` | `double` | Source column from the original resource. | `` | | `d_82_2` | `double` | Source column from the original resource. | `` | | `d_72_2` | `double` | Source column from the original resource. | `` | | `d_77_3` | `double` | Source column from the original resource. | `` | | `d_65` | `double` | Source column from the original resource. | `` | | `d_8` | `double` | Source column from the original resource. | `` | | `d_8_2` | `double` | Source column from the original resource. | `` | | `d_11` | `double` | Source column from the original resource. | `` | | `d_9` | `double` | Source column from the original resource. | `` | | `d_75_2` | `double` | Source column from the original resource. | `` | | `d_63_2` | `double` | Source column from the original resource. | `` | | `accommodation` | `double` | Source column from the original resource. | `` | | `meals_beverages` | `double` | Source column from the original resource. | `` | | `transport` | `double` | Source column from the original resource. | `` | | `sightseeing` | `double` | Source column from the original resource. | `` | | `entertainment` | `double` | Source column from the original resource. | `` | | `shopping` | `double` | Source column from the original resource. | `` | | `other` | `double` | Source column from the original resource. | `` | | `total_1` | `double` | Source column from the original resource. | `` | | `country` | `string` | Source column from the original resource. | `` | | `island_of_mauritius_1` | `double` | Source column from the original resource. | `` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e") 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/earnings-and-value-added-tourism-sector) - **Publisher:** MDPA - **Portal:** [https://data.govmu.org](https://data.govmu.org) - **Resource:** [HS_Tourism_Yr22_250523_0.xls](https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/resource/3420c2ad-6b29-4021-9c78-df2cbfc7d3a7/download/hs_tourism_yr22_250523_0.xls) - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) - **Retrieved/generated:** `2026-08-08T16:45:04Z` - **Hugging Face repo:** [electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e](https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e) ## 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 - Profile the distribution of values - Compare categories or geographies - Join with complementary public datasets - 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_earnings_and_value_added_of_the_tourism_sector_5c358d8e_2022, title = {Earnings and Value Added of the Tourism Sector | Africa (MDPA)}, author = {MDPA}, year = {2022}, url = {https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e}} } ``` ## 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/earnings-and-value-added-tourism-sector