4G Fixe
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Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (14 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | codeinsee | int | — |
| 100% | nbfoyer | int | — |
| 100% | nbentrepri | int | — |
| 100% | majic_xMajic x | double | — |
| 100% | majic_yMajic y | double | — |
| 100% | adr_numeroAdr numero | int | — |
| 100% | adr_bisterAdr bister | text | — |
| 100% | adr_originAdr origin | text | — |
| 100% | adress_aleAdress ale | int | — |
| 100% | nomcommune | text | — |
| — | id | int | — |
| — | dept | int | — |
| — | column_1Column 1 | int | — |
| — | geom | geo_point_2d | — |
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)
Record 1id: 37836 · dept: 77
{
"id": 37836,
"dept": 77,
"geom": {
"lat": 48.5670789519,
"lon": 2.59615645825
},
"majic_x": 670203.99,
"majic_y": 6829727.24,
"nbfoyer": 1,
"column_1": 1837672,
"codeinsee": 77067,
"adr_bister": "NA",
"adr_numero": 120,
"adr_origin": "NA",
"adress_ale": 0,
"nbentrepri": 0,
"nomcommune": "Cesson"
}Record 2id: 39154 · dept: 77
{
"id": 39154,
"dept": 77,
"geom": {
"lat": 48.5693224891,
"lon": 2.60301350669
},
"majic_x": 670711.16,
"majic_y": 6829974.08,
"nbfoyer": 1,
"column_1": 1837716,
"codeinsee": 77067,
"adr_bister": "NA",
"adr_numero": 28,
"adr_origin": "NA",
"adress_ale": 0,
"nbentrepri": 0,
"nomcommune": "Cesson"
}Record 3id: 362691 · dept: 77
{
"id": 362691,
"dept": 77,
"geom": {
"lat": 48.5857664428,
"lon": 2.62362846068
},
"majic_x": 672240.79,
"majic_y": 6831794.66,
"nbfoyer": 1,
"column_1": 1848368,
"codeinsee": 77495,
"adr_bister": "NA",
"adr_numero": 9000,
"adr_origin": "NA",
"adress_ale": 0,
"nbentrepri": 0,
"nomcommune": "Vert-Saint-Denis"
}Record 4id: 363079 · dept: 77
{
"id": 363079,
"dept": 77,
"geom": {
"lat": 48.5650865783,
"lon": 2.61132334839
},
"majic_x": 671321.92,
"majic_y": 6829500.14,
"nbfoyer": 0,
"column_1": 1848393,
"codeinsee": 77495,
"adr_bister": "NA",
"adr_numero": 5084,
"adr_origin": "NA",
"adress_ale": 0,
"nbentrepri": 0,
"nomcommune": "Vert-Saint-Denis"
}Record 5id: 14276550 · dept: 91
{
"id": 14276550,
"dept": 91,
"geom": {
"lat": 48.617495803,
"lon": 2.4624617633
},
"majic_x": 660378.14,
"majic_y": 6835390.74,
"nbfoyer": 48,
"column_1": 2143972,
"codeinsee": 91174,
"adr_bister": "NA",
"adr_numero": 2,
"adr_origin": "NA",
"adress_ale": 0,
"nbentrepri": 0,
"nomcommune": "Corbeil-Essonnes"
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/4g-fixe
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/4g-fixe/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
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.