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README.md ADDED
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1
+ ---
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+ license: cc-by-sa-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ multilinguality: monolingual
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+ size_categories:
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+ - n<1K
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+ tags:
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+ - tabular
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+ - xls
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+ - africa
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+ - mauritius
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+ - official-statistics
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+ - open-data
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+ - tourism
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+ - economics
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-00000-of-00001.parquet
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+ pretty_name: "Earnings and Value Added of the Tourism Sector | Africa (Mauritius official open data)"
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+ ---
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+
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+ # Earnings and Value Added of the Tourism Sector | Africa (Mauritius official open data)
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+
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+ 796 rows - 1 Africa country - 1980-2022 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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+
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+ ![rows](https://img.shields.io/badge/rows-796-blue)
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+ ![countries](https://img.shields.io/badge/countries-1-green)
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+ ![years](https://img.shields.io/badge/years-1980-2022-orange)
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+ ![indicators](https://img.shields.io/badge/indicators-0-purple)
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+ ![license](https://img.shields.io/badge/license-cc-by-sa-4.0-lightgrey)
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+
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+ ## TL;DR
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+
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+ This dataset packages one official `XLS` resource from **Mauritius** as
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+ ML-ready Parquet. The source file is the provenance boundary; all usable
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+ indicators or tabular columns from the resource stay together in this repo.
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+
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+ ## About the source
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+
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+ - **Source:** [Earnings and Value Added of the Tourism Sector](https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector)
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+ - **Publisher:** MDPA
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+ - **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)
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+ - **Format:** `XLS`
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+ - **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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+ - **Packaging mode:** `tabular_resource`
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+
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+ ## Geographic coverage
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+
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+ 1 Africa country:
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+
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+ | Country | Rows | First year | Last year | Name |
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+ |---------|-----:|-----------:|----------:|------|
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+ | `MU` | 796 | 1980 | 2022 | `Mauritius` |
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+
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+ ## Indicators or Resource Contents
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+
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+ - This source file is packaged as a normalized tabular resource.
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+
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+ ## Schema
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+
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+ | Column | Type | Description | Example |
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+ |--------|------|-------------|---------|
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+ | `source_record_id` | `string` | Stable row identifier for tabular resources. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7:table-of-contents:0` |
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+ | `country_iso3` | `category` | ISO3 country code. | `MU` |
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+ | `country_name` | `category` | Country name. | `Mauritius` |
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+ | `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Table of contents` |
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+ | `year` | `float64` | Observation year. | `1983.0` |
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+ | `d_5a` | `string` | Source column. | `5b` |
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+ | `tourist_arrivals_by_country_of_residence_1983_2012` | `string` | Source column. | `Tourist arrivals by country of residence (covering a wider range of coun` |
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+ | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `1983` |
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+ | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `1983` |
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+ | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `1983` |
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+ | `source_provider` | `category` | Publishing organization. | `MDPA` |
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+ | `source_dataset` | `category` | Source package title. | `Earnings and Value Added of the Tourism Sector` |
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+ | `source_resource` | `category` | Source resource title. | `HS_Tourism_Yr22_250523_0.xls` |
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+ | `source_package_id` | `category` | CKAN package UUID. | `bf849e4c-49ca-4c54-8d9f-a05710082cab` |
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+ | `source_resource_id` | `category` | CKAN resource UUID. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7` |
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+ | `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/reso` |
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+ | `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
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+ | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
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+ | `d_1` | `float64` | Source column. | `` |
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+ | `tourist` | `string` | Source column. | `` |
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+ | `a_tourist_is_defined_as_a_non_resident_staying_overnight` | `string` | Source column. | `` |
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+ | `1980` | `float64` | Source column. | `` |
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+ | `d_163230` | `float64` | Source column. | `` |
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+ | `d_167269` | `float64` | Source column. | `` |
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+ | `d_6042` | `string` | Source column. | `` |
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+ | `d_5722` | `float64` | Source column. | `` |
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+ | `country_of_disembarkation` | `string` | Source column. | `` |
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+ | `1983` | `float64` | Source column. | `` |
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+ | `1984` | `float64` | Source column. | `` |
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+ | `1985` | `float64` | Source column. | `` |
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+ | `1986` | `float64` | Source column. | `` |
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+ | `1987` | `float64` | Source column. | `` |
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+ | `1988` | `float64` | Source column. | `` |
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+ | `1989` | `float64` | Source column. | `` |
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+ | `1990` | `float64` | Source column. | `` |
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+ | `1991` | `float64` | Source column. | `` |
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+ | `1992` | `float64` | Source column. | `` |
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+ | `1993` | `float64` | Source column. | `` |
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+ | `1994` | `float64` | Source column. | `` |
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+ | `1995` | `float64` | Source column. | `` |
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+ | `1996` | `float64` | Source column. | `` |
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+ | `1997` | `float64` | Source column. | `` |
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+ | `1998` | `float64` | Source column. | `` |
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+ | `1999` | `float64` | Source column. | `` |
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+ | `2000` | `float64` | Source column. | `` |
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+ | `2001` | `float64` | Source column. | `` |
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+ | `2002` | `float64` | Source column. | `` |
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+ | `2003` | `float64` | Source column. | `` |
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+ | `2004` | `float64` | Source column. | `` |
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+ | `2005` | `float64` | Source column. | `` |
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+ | `2006` | `float64` | Source column. | `` |
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+ | `2007` | `float64` | Source column. | `` |
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+ | `2008` | `float64` | Source column. | `` |
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+ | `2009` | `float64` | Source column. | `` |
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+ | `2010` | `float64` | Source column. | `` |
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+ | `2011` | `float64` | Source column. | `` |
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+ | `2012` | `float64` | Source column. | `` |
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+ | `2013` | `float64` | Source column. | `` |
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+ | `2014` | `float64` | Source column. | `` |
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+ | `2015` | `float64` | Source column. | `` |
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+ | `2016` | `float64` | Source column. | `` |
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+ | `2017` | `float64` | Source column. | `` |
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+ | `2018` | `float64` | Source column. | `` |
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+ | `2019` | `float64` | Source column. | `` |
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+ | `2020` | `float64` | Source column. | `` |
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+ | `2021` | `float64` | Source column. | `` |
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+ | `2022` | `float64` | Source column. | `` |
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+ | `month_of_arrival` | `string` | Source column. | `` |
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+ | `1974` | `float64` | Source column. | `` |
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+ | `1975` | `float64` | Source column. | `` |
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+ | `1976` | `float64` | Source column. | `` |
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+ | `1977` | `float64` | Source column. | `` |
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+ | `1978` | `float64` | Source column. | `` |
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+ | `1979` | `float64` | Source column. | `` |
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+ | `1981` | `float64` | Source column. | `` |
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+ | `1982` | `float64` | Source column. | `` |
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+ | `country_of_residence` | `string` | Source column. | `` |
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+ | `europe` | `string` | Source column. | `` |
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+ | `d_547061` | `float64` | Source column. | `` |
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+ | `d_570684` | `float64` | Source column. | `` |
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+ | `d_631627` | `float64` | Source column. | `` |
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+ | `d_734506` | `float64` | Source column. | `` |
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+ | `d_780209` | `float64` | Source column. | `` |
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+ | `d_824334` | `float64` | Source column. | `` |
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+ | `d_835946` | `float64` | Source column. | `` |
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+ | `d_207641` | `float64` | Source column. | `` |
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+ | `d_145812` | `float64` | Source column. | `` |
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+ | `d_674511` | `float64` | Source column. | `` |
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+ | `d_55_1` | `float64` | Source column. | `` |
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+ | `d_55` | `float64` | Source column. | `` |
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+ | `d_54_9` | `float64` | Source column. | `` |
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+ | `d_57_6` | `float64` | Source column. | `` |
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+ | `d_58_1` | `float64` | Source column. | `` |
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+ | `d_58_9` | `float64` | Source column. | `` |
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+ | `d_60_4` | `float64` | Source column. | `` |
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+ | `d_67_2` | `float64` | Source column. | `` |
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+ | `d_81_1` | `float64` | Source column. | `` |
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+ | `d_67_6` | `float64` | Source column. | `` |
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+ | `tourism_earnings_1_rs_million` | `float64` | Source column. | `` |
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+ | `value_added_2_rs_million` | `string` | Source column. | `` |
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+ | `contribution_to_gdp_2` | `string` | Source column. | `` |
170
+ | `food_service` | `float64` | Source column. | `` |
171
+ | `hotels` | `float64` | Source column. | `` |
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+ | `travel_other_services_2` | `float64` | Source column. | `` |
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+ | `total_tourism_industry` | `float64` | Source column. | `` |
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+ | `d_470` | `float64` | Source column. | `` |
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+ | `d_114610` | `float64` | Source column. | `` |
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+ | `d_115080` | `float64` | Source column. | `` |
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+ | `d_1301730` | `float64` | Source column. | `` |
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+ | `d_43` | `float64` | Source column. | `` |
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+ | `d_4000` | `float64` | Source column. | `` |
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+ | `september` | `string` | Source column. | `` |
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+ | `d_66_8` | `float64` | Source column. | `` |
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+ | `d_56_8` | `string` | Source column. | `` |
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+ | `d_82_9` | `float64` | Source column. | `` |
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+ | `d_74_4` | `float64` | Source column. | `` |
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+ | `d_84_9` | `float64` | Source column. | `` |
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+ | `d_75_9` | `float64` | Source column. | `` |
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+ | `d_81` | `float64` | Source column. | `` |
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+ | `d_73_4` | `float64` | Source column. | `` |
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+ | `d_74_5` | `float64` | Source column. | `` |
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+ | `d_67_4` | `float64` | Source column. | `` |
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+ | `d_63_9` | `float64` | Source column. | `` |
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+ | `d_59_1` | `float64` | Source column. | `` |
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+ | `d_67_9` | `float64` | Source column. | `` |
194
+ | `d_63_5` | `float64` | Source column. | `` |
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+ | `d_72_3` | `float64` | Source column. | `` |
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+ | `d_66_5` | `float64` | Source column. | `` |
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+ | `d_76` | `float64` | Source column. | `` |
198
+ | `d_71` | `float64` | Source column. | `` |
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+ | `d_73` | `float64` | Source column. | `` |
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+ | `d_67` | `float64` | Source column. | `` |
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+ | `d_77` | `float64` | Source column. | `` |
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+ | `d_68` | `float64` | Source column. | `` |
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+ | `d_85` | `float64` | Source column. | `` |
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+ | `d_75` | `float64` | Source column. | `` |
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+ | `d_82` | `float64` | Source column. | `` |
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+ | `d_72` | `float64` | Source column. | `` |
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+ | `d_77_2` | `float64` | Source column. | `` |
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+ | `d_68_2` | `float64` | Source column. | `` |
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+ | `d_76_2` | `float64` | Source column. | `` |
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+ | `d_74` | `float64` | Source column. | `` |
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+ | `d_66` | `float64` | Source column. | `` |
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+ | `d_76_3` | `float64` | Source column. | `` |
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+ | `d_68_3` | `float64` | Source column. | `` |
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+ | `d_67_3` | `float64` | Source column. | `` |
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+ | `d_59` | `float64` | Source column. | `` |
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+ | `d_69` | `float64` | Source column. | `` |
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+ | `d_62` | `float64` | Source column. | `` |
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+ | `d_67_5` | `float64` | Source column. | `` |
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+ | `d_60` | `float64` | Source column. | `` |
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+ | `d_71_2` | `float64` | Source column. | `` |
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+ | `d_63` | `float64` | Source column. | `` |
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+ | `d_78` | `float64` | Source column. | `` |
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+ | `d_70` | `float64` | Source column. | `` |
224
+ | `d_68_4` | `float64` | Source column. | `` |
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+ | `d_61` | `float64` | Source column. | `` |
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+ | `d_64` | `float64` | Source column. | `` |
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+ | `d_56` | `float64` | Source column. | `` |
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+ | `d_58` | `float64` | Source column. | `` |
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+ | `d_66_2` | `float64` | Source column. | `` |
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+ | `d_58_2` | `float64` | Source column. | `` |
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+ | `d_62_2` | `float64` | Source column. | `` |
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+ | `d_54` | `float64` | Source column. | `` |
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+ | `d_67_7` | `float64` | Source column. | `` |
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+ | `d_60_2` | `float64` | Source column. | `` |
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+ | `d_68_5` | `float64` | Source column. | `` |
236
+ | `d_61_2` | `float64` | Source column. | `` |
237
+ | `d_74_2` | `float64` | Source column. | `` |
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+ | `d_68_6` | `float64` | Source column. | `` |
239
+ | `d_78_2` | `float64` | Source column. | `` |
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+ | `d_68_7` | `float64` | Source column. | `` |
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+ | `d_79` | `float64` | Source column. | `` |
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+ | `d_69_2` | `float64` | Source column. | `` |
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+ | `d_82_2` | `float64` | Source column. | `` |
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+ | `d_72_2` | `float64` | Source column. | `` |
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+ | `d_77_3` | `float64` | Source column. | `` |
246
+ | `d_65` | `float64` | Source column. | `` |
247
+ | `d_8` | `float64` | Source column. | `` |
248
+ | `d_8_2` | `float64` | Source column. | `` |
249
+ | `d_11` | `float64` | Source column. | `` |
250
+ | `d_9` | `float64` | Source column. | `` |
251
+ | `d_75_2` | `float64` | Source column. | `` |
252
+ | `d_63_2` | `float64` | Source column. | `` |
253
+ | `accommodation` | `float64` | Source column. | `` |
254
+ | `meals_beverages` | `float64` | Source column. | `` |
255
+ | `transport` | `float64` | Source column. | `` |
256
+ | `sightseeing` | `float64` | Source column. | `` |
257
+ | `entertainment` | `float64` | Source column. | `` |
258
+ | `shopping` | `float64` | Source column. | `` |
259
+ | `other` | `float64` | Source column. | `` |
260
+ | `total_1` | `float64` | Source column. | `` |
261
+ | `country` | `string` | Source column. | `` |
262
+ | `island_of_mauritius_1` | `float64` | Source column. | `` |
263
+
264
+ ## Usage
265
+
266
+ ```python
267
+ from datasets import load_dataset
268
+
269
+ ds = load_dataset("electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e")
270
+ df = ds["train"].to_pandas()
271
+ print(df.head())
272
+ ```
273
+
274
+ ### Filter to one country
275
+
276
+ ```python
277
+ sample_country = df[df["country_iso3"] == "MU"]
278
+ ```
279
+
280
+ ### Work with indicators
281
+
282
+ ```python
283
+ if "indicator_id" in df.columns:
284
+ print(df["indicator_id"].value_counts().head())
285
+ sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
286
+ ```
287
+
288
+ ## Citation
289
+
290
+ ```bibtex
291
+ @misc{electric_sheep_africa_africa_mauritius_earnings_and_value_added_of_the_tourism_sector_5c358d8e_2022,
292
+ title = {Earnings and Value Added of the Tourism Sector | Africa (Mauritius official open data)},
293
+ author = {MDPA},
294
+ year = {2022},
295
+ url = {https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector},
296
+ publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
297
+ howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-earnings-and-value-added-of-the-tourism-sector-5c358d8e}}
298
+ }
299
+ ```
300
+
301
+ ## License
302
+
303
+ Released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
304
+
305
+ Original data (c) MDPA. When using this dataset, please cite both the
306
+ original source above and the Electric Sheep Africa repackaging.
307
+
308
+ ## About Electric Sheep
309
+
310
+ Electric Sheep Africa is part of the Electric Sheep mission: a unified,
311
+ ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
312
+ open sources, normalize the schemas, package as Parquet, and publish with
313
+ consistent dataset cards so researchers and developers can use `load_dataset()`
314
+ to start working in seconds.
315
+
316
+ Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
317
+
318
+ ---
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+
320
+ Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL:
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+ https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/resource/3420c2ad-6b29-4021-9c78-df2cbfc7d3a7/download/hs_tourism_yr22_250523_0.xls
data/train-00000-of-00001.parquet ADDED
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1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:db29b170db30a56b976b4b7887659dbfe040e631991a456eee2afaf10b14814b
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+ size 169411
metadata/source_snapshot.json ADDED
@@ -0,0 +1,245 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "columns": [
3
+ "source_record_id",
4
+ "country_iso3",
5
+ "country_name",
6
+ "source_sheet",
7
+ "year",
8
+ "d_5a",
9
+ "tourist_arrivals_by_country_of_residence_1983_2012",
10
+ "source_period_start_year",
11
+ "source_period_end_year",
12
+ "source_period_label",
13
+ "source_provider",
14
+ "source_dataset",
15
+ "source_resource",
16
+ "source_package_id",
17
+ "source_resource_id",
18
+ "source_url",
19
+ "license_id",
20
+ "retrieved_at",
21
+ "d_1",
22
+ "tourist",
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+ "a_tourist_is_defined_as_a_non_resident_staying_overnight",
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