Trafic annuel entrant par station du réseau ferré 2016
Ce jeu de données détaille le trafic des entrants directs sur le réseau ferré RATP en 2016. Les « entrants directs » sont exclusivement les voyageurs provenant de la voie publique ou du réseau SNCF entrant sur le réseau de transport RATP en validant un titre de transport valide. Les voyageurs en...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (15 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | rang | int | — |
| 100% | reseauRéseau | text | — |
| 100% | station | text | — |
| 100% | trafic | int | — |
| 100% | correspondance_1Correspondance 1 | text | — |
| 16% | correspondance_2Correspondance 2 | text | — |
| 4.6% | correspondance_3Correspondance 3 | text | — |
| 1.4% | correspondance_4Correspondance 4 | text | — |
| 0.8% | correspondance_5Correspondance 5 | text | — |
| 100% | ville | text | — |
| 68.8% | arrondissement_pour_parisArrondissement pour paris | int | — |
| 0% | column_12Column 12 | text | — |
| 0% | column_13Column 13 | text | — |
| 0% | column_14Column 14 | text | — |
| 0% | column_15Column 15 | text | — |
Schema captured from opendatasoft 7 days 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)
Record 1rang: 49 · ville: Paris
{
"rang": 49,
"ville": "Paris",
"reseau": "Métro",
"trafic": 6290697,
"station": "INVALIDES",
"column_12": null,
"column_13": null,
"column_14": null,
"column_15": null,
"correspondance_1": "8",
"correspondance_2": "13",
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": 7
}Record 2rang: 45 · ville: Villejuif
{
"rang": 45,
"ville": "Villejuif",
"reseau": "Métro",
"trafic": 6865612,
"station": "VILLEJUIF-LOUIS ARAGON",
"column_12": null,
"column_13": null,
"column_14": null,
"column_15": null,
"correspondance_1": "7",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": null
}Record 3rang: 141 · ville: Paris
{
"rang": 141,
"ville": "Paris",
"reseau": "Métro",
"trafic": 3645866,
"station": "MARX DORMOY",
"column_12": null,
"column_13": null,
"column_14": null,
"column_15": null,
"correspondance_1": "12",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": 18
}Record 4rang: 57 · ville: La Courneuve
{
"rang": 57,
"ville": "La Courneuve",
"reseau": "Métro",
"trafic": 6013067,
"station": "LA COURNEUVE-8 MAI 1945",
"column_12": null,
"column_13": null,
"column_14": null,
"column_15": null,
"correspondance_1": "7",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": null
}Record 5rang: 130 · ville: Paris
{
"rang": 130,
"ville": "Paris",
"reseau": "Métro",
"trafic": 3829404,
"station": "BLANCHE",
"column_12": null,
"column_13": null,
"column_14": null,
"column_15": null,
"correspondance_1": "2",
"correspondance_2": null,
"correspondance_3": null,
"correspondance_4": null,
"correspondance_5": null,
"arrondissement_pour_paris": 9
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/trafic-annuel-entrant-par-station-du-reseau-ferre-2016
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/trafic-annuel-entrant-par-station-du-reseau-ferre-2016/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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