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Browse files- README.md +321 -0
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- metadata/source_snapshot.json +245 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-sa-4.0
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| 3 |
+
language:
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| 4 |
+
- en
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| 5 |
+
task_categories:
|
| 6 |
+
- tabular-classification
|
| 7 |
+
- tabular-regression
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| 8 |
+
multilinguality: monolingual
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| 9 |
+
size_categories:
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| 10 |
+
- n<1K
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| 11 |
+
tags:
|
| 12 |
+
- tabular
|
| 13 |
+
- xls
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| 14 |
+
- africa
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| 15 |
+
- mauritius
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| 16 |
+
- official-statistics
|
| 17 |
+
- open-data
|
| 18 |
+
- tourism
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| 19 |
+
- economics
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| 20 |
+
configs:
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| 21 |
+
- config_name: default
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| 22 |
+
data_files:
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| 23 |
+
- split: train
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| 24 |
+
path: data/train-00000-of-00001.parquet
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| 25 |
+
pretty_name: "Earnings and Value Added of the Tourism Sector | Africa (Mauritius official open data)"
|
| 26 |
+
---
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| 27 |
+
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| 28 |
+
# Earnings and Value Added of the Tourism Sector | Africa (Mauritius official open data)
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| 29 |
+
|
| 30 |
+
796 rows - 1 Africa country - 1980-2022 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
|
| 31 |
+
|
| 32 |
+

|
| 33 |
+

|
| 34 |
+

|
| 35 |
+

|
| 36 |
+

|
| 37 |
+
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| 38 |
+
## TL;DR
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| 39 |
+
|
| 40 |
+
This dataset packages one official `XLS` resource from **Mauritius** as
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| 41 |
+
ML-ready Parquet. The source file is the provenance boundary; all usable
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| 42 |
+
indicators or tabular columns from the resource stay together in this repo.
|
| 43 |
+
|
| 44 |
+
## About the source
|
| 45 |
+
|
| 46 |
+
- **Source:** [Earnings and Value Added of the Tourism Sector](https://data.govmu.org/dataset/earnings-and-value-added-tourism-sector)
|
| 47 |
+
- **Publisher:** MDPA
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| 48 |
+
- **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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| 49 |
+
- **Format:** `XLS`
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| 50 |
+
- **License:** [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
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| 51 |
+
- **Packaging mode:** `tabular_resource`
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| 52 |
+
|
| 53 |
+
## Geographic coverage
|
| 54 |
+
|
| 55 |
+
1 Africa country:
|
| 56 |
+
|
| 57 |
+
| Country | Rows | First year | Last year | Name |
|
| 58 |
+
|---------|-----:|-----------:|----------:|------|
|
| 59 |
+
| `MU` | 796 | 1980 | 2022 | `Mauritius` |
|
| 60 |
+
|
| 61 |
+
## Indicators or Resource Contents
|
| 62 |
+
|
| 63 |
+
- This source file is packaged as a normalized tabular resource.
|
| 64 |
+
|
| 65 |
+
## Schema
|
| 66 |
+
|
| 67 |
+
| Column | Type | Description | Example |
|
| 68 |
+
|--------|------|-------------|---------|
|
| 69 |
+
| `source_record_id` | `string` | Stable row identifier for tabular resources. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7:table-of-contents:0` |
|
| 70 |
+
| `country_iso3` | `category` | ISO3 country code. | `MU` |
|
| 71 |
+
| `country_name` | `category` | Country name. | `Mauritius` |
|
| 72 |
+
| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Table of contents` |
|
| 73 |
+
| `year` | `float64` | Observation year. | `1983.0` |
|
| 74 |
+
| `d_5a` | `string` | Source column. | `5b` |
|
| 75 |
+
| `tourist_arrivals_by_country_of_residence_1983_2012` | `string` | Source column. | `Tourist arrivals by country of residence (covering a wider range of coun` |
|
| 76 |
+
| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `1983` |
|
| 77 |
+
| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `1983` |
|
| 78 |
+
| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `1983` |
|
| 79 |
+
| `source_provider` | `category` | Publishing organization. | `MDPA` |
|
| 80 |
+
| `source_dataset` | `category` | Source package title. | `Earnings and Value Added of the Tourism Sector` |
|
| 81 |
+
| `source_resource` | `category` | Source resource title. | `HS_Tourism_Yr22_250523_0.xls` |
|
| 82 |
+
| `source_package_id` | `category` | CKAN package UUID. | `bf849e4c-49ca-4c54-8d9f-a05710082cab` |
|
| 83 |
+
| `source_resource_id` | `category` | CKAN resource UUID. | `3420c2ad-6b29-4021-9c78-df2cbfc7d3a7` |
|
| 84 |
+
| `source_url` | `category` | Original source resource URL. | `https://data.govmu.org/dataset/bf849e4c-49ca-4c54-8d9f-a05710082cab/reso` |
|
| 85 |
+
| `license_id` | `category` | Source license identifier. | `CC-BY-SA-4.0` |
|
| 86 |
+
| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-08T16:26:20Z` |
|
| 87 |
+
| `d_1` | `float64` | Source column. | `` |
|
| 88 |
+
| `tourist` | `string` | Source column. | `` |
|
| 89 |
+
| `a_tourist_is_defined_as_a_non_resident_staying_overnight` | `string` | Source column. | `` |
|
| 90 |
+
| `1980` | `float64` | Source column. | `` |
|
| 91 |
+
| `d_163230` | `float64` | Source column. | `` |
|
| 92 |
+
| `d_167269` | `float64` | Source column. | `` |
|
| 93 |
+
| `d_6042` | `string` | Source column. | `` |
|
| 94 |
+
| `d_5722` | `float64` | Source column. | `` |
|
| 95 |
+
| `country_of_disembarkation` | `string` | Source column. | `` |
|
| 96 |
+
| `1983` | `float64` | Source column. | `` |
|
| 97 |
+
| `1984` | `float64` | Source column. | `` |
|
| 98 |
+
| `1985` | `float64` | Source column. | `` |
|
| 99 |
+
| `1986` | `float64` | Source column. | `` |
|
| 100 |
+
| `1987` | `float64` | Source column. | `` |
|
| 101 |
+
| `1988` | `float64` | Source column. | `` |
|
| 102 |
+
| `1989` | `float64` | Source column. | `` |
|
| 103 |
+
| `1990` | `float64` | Source column. | `` |
|
| 104 |
+
| `1991` | `float64` | Source column. | `` |
|
| 105 |
+
| `1992` | `float64` | Source column. | `` |
|
| 106 |
+
| `1993` | `float64` | Source column. | `` |
|
| 107 |
+
| `1994` | `float64` | Source column. | `` |
|
| 108 |
+
| `1995` | `float64` | Source column. | `` |
|
| 109 |
+
| `1996` | `float64` | Source column. | `` |
|
| 110 |
+
| `1997` | `float64` | Source column. | `` |
|
| 111 |
+
| `1998` | `float64` | Source column. | `` |
|
| 112 |
+
| `1999` | `float64` | Source column. | `` |
|
| 113 |
+
| `2000` | `float64` | Source column. | `` |
|
| 114 |
+
| `2001` | `float64` | Source column. | `` |
|
| 115 |
+
| `2002` | `float64` | Source column. | `` |
|
| 116 |
+
| `2003` | `float64` | Source column. | `` |
|
| 117 |
+
| `2004` | `float64` | Source column. | `` |
|
| 118 |
+
| `2005` | `float64` | Source column. | `` |
|
| 119 |
+
| `2006` | `float64` | Source column. | `` |
|
| 120 |
+
| `2007` | `float64` | Source column. | `` |
|
| 121 |
+
| `2008` | `float64` | Source column. | `` |
|
| 122 |
+
| `2009` | `float64` | Source column. | `` |
|
| 123 |
+
| `2010` | `float64` | Source column. | `` |
|
| 124 |
+
| `2011` | `float64` | Source column. | `` |
|
| 125 |
+
| `2012` | `float64` | Source column. | `` |
|
| 126 |
+
| `2013` | `float64` | Source column. | `` |
|
| 127 |
+
| `2014` | `float64` | Source column. | `` |
|
| 128 |
+
| `2015` | `float64` | Source column. | `` |
|
| 129 |
+
| `2016` | `float64` | Source column. | `` |
|
| 130 |
+
| `2017` | `float64` | Source column. | `` |
|
| 131 |
+
| `2018` | `float64` | Source column. | `` |
|
| 132 |
+
| `2019` | `float64` | Source column. | `` |
|
| 133 |
+
| `2020` | `float64` | Source column. | `` |
|
| 134 |
+
| `2021` | `float64` | Source column. | `` |
|
| 135 |
+
| `2022` | `float64` | Source column. | `` |
|
| 136 |
+
| `month_of_arrival` | `string` | Source column. | `` |
|
| 137 |
+
| `1974` | `float64` | Source column. | `` |
|
| 138 |
+
| `1975` | `float64` | Source column. | `` |
|
| 139 |
+
| `1976` | `float64` | Source column. | `` |
|
| 140 |
+
| `1977` | `float64` | Source column. | `` |
|
| 141 |
+
| `1978` | `float64` | Source column. | `` |
|
| 142 |
+
| `1979` | `float64` | Source column. | `` |
|
| 143 |
+
| `1981` | `float64` | Source column. | `` |
|
| 144 |
+
| `1982` | `float64` | Source column. | `` |
|
| 145 |
+
| `country_of_residence` | `string` | Source column. | `` |
|
| 146 |
+
| `europe` | `string` | Source column. | `` |
|
| 147 |
+
| `d_547061` | `float64` | Source column. | `` |
|
| 148 |
+
| `d_570684` | `float64` | Source column. | `` |
|
| 149 |
+
| `d_631627` | `float64` | Source column. | `` |
|
| 150 |
+
| `d_734506` | `float64` | Source column. | `` |
|
| 151 |
+
| `d_780209` | `float64` | Source column. | `` |
|
| 152 |
+
| `d_824334` | `float64` | Source column. | `` |
|
| 153 |
+
| `d_835946` | `float64` | Source column. | `` |
|
| 154 |
+
| `d_207641` | `float64` | Source column. | `` |
|
| 155 |
+
| `d_145812` | `float64` | Source column. | `` |
|
| 156 |
+
| `d_674511` | `float64` | Source column. | `` |
|
| 157 |
+
| `d_55_1` | `float64` | Source column. | `` |
|
| 158 |
+
| `d_55` | `float64` | Source column. | `` |
|
| 159 |
+
| `d_54_9` | `float64` | Source column. | `` |
|
| 160 |
+
| `d_57_6` | `float64` | Source column. | `` |
|
| 161 |
+
| `d_58_1` | `float64` | Source column. | `` |
|
| 162 |
+
| `d_58_9` | `float64` | Source column. | `` |
|
| 163 |
+
| `d_60_4` | `float64` | Source column. | `` |
|
| 164 |
+
| `d_67_2` | `float64` | Source column. | `` |
|
| 165 |
+
| `d_81_1` | `float64` | Source column. | `` |
|
| 166 |
+
| `d_67_6` | `float64` | Source column. | `` |
|
| 167 |
+
| `tourism_earnings_1_rs_million` | `float64` | Source column. | `` |
|
| 168 |
+
| `value_added_2_rs_million` | `string` | Source column. | `` |
|
| 169 |
+
| `contribution_to_gdp_2` | `string` | Source column. | `` |
|
| 170 |
+
| `food_service` | `float64` | Source column. | `` |
|
| 171 |
+
| `hotels` | `float64` | Source column. | `` |
|
| 172 |
+
| `travel_other_services_2` | `float64` | Source column. | `` |
|
| 173 |
+
| `total_tourism_industry` | `float64` | Source column. | `` |
|
| 174 |
+
| `d_470` | `float64` | Source column. | `` |
|
| 175 |
+
| `d_114610` | `float64` | Source column. | `` |
|
| 176 |
+
| `d_115080` | `float64` | Source column. | `` |
|
| 177 |
+
| `d_1301730` | `float64` | Source column. | `` |
|
| 178 |
+
| `d_43` | `float64` | Source column. | `` |
|
| 179 |
+
| `d_4000` | `float64` | Source column. | `` |
|
| 180 |
+
| `september` | `string` | Source column. | `` |
|
| 181 |
+
| `d_66_8` | `float64` | Source column. | `` |
|
| 182 |
+
| `d_56_8` | `string` | Source column. | `` |
|
| 183 |
+
| `d_82_9` | `float64` | Source column. | `` |
|
| 184 |
+
| `d_74_4` | `float64` | Source column. | `` |
|
| 185 |
+
| `d_84_9` | `float64` | Source column. | `` |
|
| 186 |
+
| `d_75_9` | `float64` | Source column. | `` |
|
| 187 |
+
| `d_81` | `float64` | Source column. | `` |
|
| 188 |
+
| `d_73_4` | `float64` | Source column. | `` |
|
| 189 |
+
| `d_74_5` | `float64` | Source column. | `` |
|
| 190 |
+
| `d_67_4` | `float64` | Source column. | `` |
|
| 191 |
+
| `d_63_9` | `float64` | Source column. | `` |
|
| 192 |
+
| `d_59_1` | `float64` | Source column. | `` |
|
| 193 |
+
| `d_67_9` | `float64` | Source column. | `` |
|
| 194 |
+
| `d_63_5` | `float64` | Source column. | `` |
|
| 195 |
+
| `d_72_3` | `float64` | Source column. | `` |
|
| 196 |
+
| `d_66_5` | `float64` | Source column. | `` |
|
| 197 |
+
| `d_76` | `float64` | Source column. | `` |
|
| 198 |
+
| `d_71` | `float64` | Source column. | `` |
|
| 199 |
+
| `d_73` | `float64` | Source column. | `` |
|
| 200 |
+
| `d_67` | `float64` | Source column. | `` |
|
| 201 |
+
| `d_77` | `float64` | Source column. | `` |
|
| 202 |
+
| `d_68` | `float64` | Source column. | `` |
|
| 203 |
+
| `d_85` | `float64` | Source column. | `` |
|
| 204 |
+
| `d_75` | `float64` | Source column. | `` |
|
| 205 |
+
| `d_82` | `float64` | Source column. | `` |
|
| 206 |
+
| `d_72` | `float64` | Source column. | `` |
|
| 207 |
+
| `d_77_2` | `float64` | Source column. | `` |
|
| 208 |
+
| `d_68_2` | `float64` | Source column. | `` |
|
| 209 |
+
| `d_76_2` | `float64` | Source column. | `` |
|
| 210 |
+
| `d_74` | `float64` | Source column. | `` |
|
| 211 |
+
| `d_66` | `float64` | Source column. | `` |
|
| 212 |
+
| `d_76_3` | `float64` | Source column. | `` |
|
| 213 |
+
| `d_68_3` | `float64` | Source column. | `` |
|
| 214 |
+
| `d_67_3` | `float64` | Source column. | `` |
|
| 215 |
+
| `d_59` | `float64` | Source column. | `` |
|
| 216 |
+
| `d_69` | `float64` | Source column. | `` |
|
| 217 |
+
| `d_62` | `float64` | Source column. | `` |
|
| 218 |
+
| `d_67_5` | `float64` | Source column. | `` |
|
| 219 |
+
| `d_60` | `float64` | Source column. | `` |
|
| 220 |
+
| `d_71_2` | `float64` | Source column. | `` |
|
| 221 |
+
| `d_63` | `float64` | Source column. | `` |
|
| 222 |
+
| `d_78` | `float64` | Source column. | `` |
|
| 223 |
+
| `d_70` | `float64` | Source column. | `` |
|
| 224 |
+
| `d_68_4` | `float64` | Source column. | `` |
|
| 225 |
+
| `d_61` | `float64` | Source column. | `` |
|
| 226 |
+
| `d_64` | `float64` | Source column. | `` |
|
| 227 |
+
| `d_56` | `float64` | Source column. | `` |
|
| 228 |
+
| `d_58` | `float64` | Source column. | `` |
|
| 229 |
+
| `d_66_2` | `float64` | Source column. | `` |
|
| 230 |
+
| `d_58_2` | `float64` | Source column. | `` |
|
| 231 |
+
| `d_62_2` | `float64` | Source column. | `` |
|
| 232 |
+
| `d_54` | `float64` | Source column. | `` |
|
| 233 |
+
| `d_67_7` | `float64` | Source column. | `` |
|
| 234 |
+
| `d_60_2` | `float64` | Source column. | `` |
|
| 235 |
+
| `d_68_5` | `float64` | Source column. | `` |
|
| 236 |
+
| `d_61_2` | `float64` | Source column. | `` |
|
| 237 |
+
| `d_74_2` | `float64` | Source column. | `` |
|
| 238 |
+
| `d_68_6` | `float64` | Source column. | `` |
|
| 239 |
+
| `d_78_2` | `float64` | Source column. | `` |
|
| 240 |
+
| `d_68_7` | `float64` | Source column. | `` |
|
| 241 |
+
| `d_79` | `float64` | Source column. | `` |
|
| 242 |
+
| `d_69_2` | `float64` | Source column. | `` |
|
| 243 |
+
| `d_82_2` | `float64` | Source column. | `` |
|
| 244 |
+
| `d_72_2` | `float64` | Source column. | `` |
|
| 245 |
+
| `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 |
+
---
|
| 319 |
+
|
| 320 |
+
Provenance: ingested 2026-08-08 via the Electric Sheep pipeline. Source URL:
|
| 321 |
+
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
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db29b170db30a56b976b4b7887659dbfe040e631991a456eee2afaf10b14814b
|
| 3 |
+
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",
|
| 23 |
+
"a_tourist_is_defined_as_a_non_resident_staying_overnight",
|
| 24 |
+
"1980",
|
| 25 |
+
"d_163230",
|
| 26 |
+
"d_167269",
|
| 27 |
+
"d_6042",
|
| 28 |
+
"d_5722",
|
| 29 |
+
"country_of_disembarkation",
|
| 30 |
+
"1983",
|
| 31 |
+
"1984",
|
| 32 |
+
"1985",
|
| 33 |
+
"1986",
|
| 34 |
+
"1987",
|
| 35 |
+
"1988",
|
| 36 |
+
"1989",
|
| 37 |
+
"1990",
|
| 38 |
+
"1991",
|
| 39 |
+
"1992",
|
| 40 |
+
"1993",
|
| 41 |
+
"1994",
|
| 42 |
+
"1995",
|
| 43 |
+
"1996",
|
| 44 |
+
"1997",
|
| 45 |
+
"1998",
|
| 46 |
+
"1999",
|
| 47 |
+
"2000",
|
| 48 |
+
"2001",
|
| 49 |
+
"2002",
|
| 50 |
+
"2003",
|
| 51 |
+
"2004",
|
| 52 |
+
"2005",
|
| 53 |
+
"2006",
|
| 54 |
+
"2007",
|
| 55 |
+
"2008",
|
| 56 |
+
"2009",
|
| 57 |
+
"2010",
|
| 58 |
+
"2011",
|
| 59 |
+
"2012",
|
| 60 |
+
"2013",
|
| 61 |
+
"2014",
|
| 62 |
+
"2015",
|
| 63 |
+
"2016",
|
| 64 |
+
"2017",
|
| 65 |
+
"2018",
|
| 66 |
+
"2019",
|
| 67 |
+
"2020",
|
| 68 |
+
"2021",
|
| 69 |
+
"2022",
|
| 70 |
+
"month_of_arrival",
|
| 71 |
+
"1974",
|
| 72 |
+
"1975",
|
| 73 |
+
"1976",
|
| 74 |
+
"1977",
|
| 75 |
+
"1978",
|
| 76 |
+
"1979",
|
| 77 |
+
"1981",
|
| 78 |
+
"1982",
|
| 79 |
+
"country_of_residence",
|
| 80 |
+
"europe",
|
| 81 |
+
"d_547061",
|
| 82 |
+
"d_570684",
|
| 83 |
+
"d_631627",
|
| 84 |
+
"d_734506",
|
| 85 |
+
"d_780209",
|
| 86 |
+
"d_824334",
|
| 87 |
+
"d_835946",
|
| 88 |
+
"d_207641",
|
| 89 |
+
"d_145812",
|
| 90 |
+
"d_674511",
|
| 91 |
+
"d_55_1",
|
| 92 |
+
"d_55",
|
| 93 |
+
"d_54_9",
|
| 94 |
+
"d_57_6",
|
| 95 |
+
"d_58_1",
|
| 96 |
+
"d_58_9",
|
| 97 |
+
"d_60_4",
|
| 98 |
+
"d_67_2",
|
| 99 |
+
"d_81_1",
|
| 100 |
+
"d_67_6",
|
| 101 |
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"retrieved_at": "2026-08-08T16:23:36Z",
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},
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}
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