Personnes accueillies à l'Office du tourisme par provenance géographique
Ce jeu de données rassemble les personnes accueillies à l'Office du tourisme par provenance géographique de 2017 à 2019.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (3 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | anneeAnnée | date | — |
| 100% | types_de_visiteursTypes de visiteurs | text | — |
| 100% | nombre_de_visiteursNombre de visiteurs | int | — |
Schema captured from opendatasoft 2 hours ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
| annee | types_de_visiteurs | nombre_de_visiteurs |
|---|---|---|
| 2018 | France | 1644 |
| 2019 | France | 1113 |
| 2017 | France | 1632 |
| 2018 | International | 819 |
| 2017 | Issy | 9474 |
Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.issy.com/api/explore/v2.1/catalog/datasets/nombre-de-personnes-accueillies-par-provenance-geographique
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.issy.com/api/explore/v2.1/catalog/datasets/nombre-de-personnes-accueillies-par-provenance-geographique/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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