Dataviz - Election présidentielle 2017 - second tour - Résultats - Ville de Toulouse
Résultats du second tour de l'élection présidentielle du dimanche 7 mai 2017. Destiné aux dataviz de la metropole.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (27 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 80.3% | id | int | — |
| 100% | type | text | — |
| 100% | annee | text | — |
| 100% | numero_tourNumero tour | int | — |
| 100% | departement | int | — |
| 100% | communeCommune | int | — |
| 100% | niveau_detailNiveau detail | text | — |
| 100% | numero_lieuNuméro du bureau | text | « 0001 » à « 0256 », 7 bureaux ont une lettre accolée ex 69A |
| 80.3% | code_cantonCode canton | int | — |
| 80.3% | code_circonscriptionCode circonscription | text | — |
| 80.3% | indicatif | text | — |
| 100% | nb_inscritsNb inscrits | int | Nombre d'inscrits |
| 100% | nb_abstentionsNb abstentions | int | — |
| 100% | nb_bulletinsNb bulletins | int | — |
| 100% | nb_emargementsNb emargements | int | Nombre de votants d'après les feuilles d'émargement |
| 100% | nb_blancsNb blancs | int | — |
| 100% | nb_nulsNb nuls | int | Nombre de bulletins nuls |
| 100% | nb_exprimesNb exprimes | int | Nombre de votants |
| 100% | candidat_1Sigle du candidat | text | Sigle du candidat (4 premières lettres du nom) |
| 100% | nb_voix_1Nombre de voix du candidat | int | — |
| — | candidat_2Sigle du candidat | text | — |
| — | nb_voix_2Nombre de voix du candidat | int | — |
| — | adresse_lieuADRESSE | text | — |
| — | nom_lieuNOM | text | — |
| — | pourcentage_participationPourcentage participation | text | — |
| — | geo_point_2dCoordinates | geo_point_2d | — |
| — | column_1Sequence | text | Numéro de séquence incrémenté par ligne de 1 à n |
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: 100 · type: PR
{
"id": 100,
"type": "PR",
"annee": "2017",
"commune": 555,
"nb_nuls": 18,
"column_1": null,
"nom_lieu": "CSC ALBAN MINVILLE",
"indicatif": "I",
"nb_blancs": 31,
"nb_voix_1": 81,
"nb_voix_2": null,
"candidat_1": "LEPE",
"candidat_2": null,
"code_canton": 20,
"departement": 31,
"nb_exprimes": 583,
"nb_inscrits": 1223,
"numero_lieu": "0097",
"numero_tour": 2,
"adresse_lieu": "PLACE MARTIN LUTHER KING",
"geo_point_2d": {
"lat": 43.5621702061,
"lon": 1.39486907311
},
"nb_bulletins": 632,
"niveau_detail": "bu",
"nb_abstentions": 591,
"nb_emargements": 632,
"code_circonscription": "04",
"pourcentage_participation": "51.6762060507"
}Record 2id: 71 · type: PR
{
"id": 71,
"type": "PR",
"annee": "2017",
"commune": 555,
"nb_nuls": 24,
"column_1": "original",
"nom_lieu": "ECOLE ANDRE DASTE",
"indicatif": "I",
"nb_blancs": 39,
"nb_voix_1": 314,
"nb_voix_2": 118,
"candidat_1": "MACR",
"candidat_2": "LEPE",
"code_canton": 19,
"departement": 31,
"nb_exprimes": 432,
"nb_inscrits": 932,
"numero_lieu": "0070",
"numero_tour": 2,
"adresse_lieu": "4 AVENUE DE LATTRE DE TASSIGNY",
"geo_point_2d": {
"lat": 43.5783495815,
"lon": 1.43377365964
},
"nb_bulletins": 495,
"niveau_detail": "bu",
"nb_abstentions": 437,
"nb_emargements": 495,
"code_circonscription": "09",
"pourcentage_participation": "53.1115879828"
}Record 3id: 248 · type: PR
{
"id": 248,
"type": "PR",
"annee": "2017",
"commune": 555,
"nb_nuls": 19,
"column_1": "original",
"nom_lieu": "ECOLE HENRI GUILLAUMET",
"indicatif": "I",
"nb_blancs": 53,
"nb_voix_1": 488,
"nb_voix_2": 161,
"candidat_1": "MACR",
"candidat_2": "LEPE",
"code_canton": 25,
"departement": 31,
"nb_exprimes": 649,
"nb_inscrits": 1023,
"numero_lieu": "0241",
"numero_tour": 2,
"adresse_lieu": "30 CHEMIN BITET",
"geo_point_2d": {
"lat": 43.577122781599996,
"lon": 1.48308370596
},
"nb_bulletins": 721,
"niveau_detail": "bu",
"nb_abstentions": 302,
"nb_emargements": 721,
"code_circonscription": "03",
"pourcentage_participation": "70.4789833822"
}Record 4id: 86 · type: PR
{
"id": 86,
"type": "PR",
"annee": "2017",
"commune": 555,
"nb_nuls": 17,
"column_1": "original",
"nom_lieu": "ECOLE LE PASTEL",
"indicatif": "I",
"nb_blancs": 50,
"nb_voix_1": 556,
"nb_voix_2": 92,
"candidat_1": "MACR",
"candidat_2": "LEPE",
"code_canton": 19,
"departement": 31,
"nb_exprimes": 648,
"nb_inscrits": 956,
"numero_lieu": "083A",
"numero_tour": 2,
"adresse_lieu": "2 CHEMIN D ESCALLES",
"geo_point_2d": {
"lat": 43.5521064352,
"lon": 1.44926744688
},
"nb_bulletins": 715,
"niveau_detail": "bu",
"nb_abstentions": 241,
"nb_emargements": 715,
"code_circonscription": "09",
"pourcentage_participation": "74.7907949791"
}Record 5id: 38 · type: PR
{
"id": 38,
"type": "PR",
"annee": "2017",
"commune": 555,
"nb_nuls": 12,
"column_1": "original",
"nom_lieu": "ECOLE MICHELET",
"indicatif": "I",
"nb_blancs": 47,
"nb_voix_1": 515,
"nb_voix_2": 75,
"candidat_1": "MACR",
"candidat_2": "LEPE",
"code_canton": 18,
"departement": 31,
"nb_exprimes": 590,
"nb_inscrits": 993,
"numero_lieu": "0038",
"numero_tour": 2,
"adresse_lieu": "5 BOULEVARD MICHELET",
"geo_point_2d": {
"lat": 43.6021028787,
"lon": 1.45682544816
},
"nb_bulletins": 649,
"niveau_detail": "bu",
"nb_abstentions": 344,
"nb_emargements": 649,
"code_circonscription": "04",
"pourcentage_participation": "65.3575025176"
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/dataviz-election-presidentielle-2017-second-tour-resultats-ville-de-toulouse
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/dataviz-election-presidentielle-2017-second-tour-resultats-ville-de-toulouse/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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