Pictavie – Monthly cumulative reports of anomalies on public space, 2014–2024 periodPictavie-Cumul mensuel des signalement d'anomalies sur l'espace public pour la période2014_2024
Pictavie-Cumul mensuel des signalement d'anomalies sur l'espace public pour la période2014_2024Pictavie – Monthly cumulative reports of anomalies on public space, 2014–2024 period
This API provides monthly cumulative data from Pictavie, a public reporting service operated since 2004 by Grand Poitiers to record malfunctions and anomalies identified by residents on public space (streets, facilities, signage, etc.). Reports can be submitted via a toll-free phone line or by mail. The dataset compiles reported incidents over the 2014–2024 period, offering a geospatial view of recurring issues across the public domain within the Grand Poitiers territory, and is accessible without authentication.**Le service Pictavie :** PICTAVIE est un service ouvert depuis 2004. Il a pour objectif de recevoir et d’enregistrer les dysfonctionnements repérés sur l’espace public par les usagers. Il est joignable : - Par un n° vert : 0 800 88 11 39 (gratuit depuis un poste fixe) - Par courrie…
Trust score
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Data schema (14 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| services | string | Name of the public service or issue category concerned.Name of the public service or issue category concerned. |
| anneeannée | integer | Year of the reported anomaly counts.Year of the reported anomaly counts. |
| 1Janvier | integer | Number of anomalies reported in January.Number of anomalies reported in January. |
| 2Février | integer | Number of anomalies reported in February.Number of anomalies reported in February. |
| 3Mars | integer | Number of anomalies reported in March.Number of anomalies reported in March. |
| 4Avril | integer | Number of anomalies reported in April.Number of anomalies reported in April. |
| 5Mai | integer | Number of anomalies reported in May.Number of anomalies reported in May. |
| 6Juin | integer | Number of anomalies reported in June.Number of anomalies reported in June. |
| 7Juillet | integer | Number of anomalies reported in July.Number of anomalies reported in July. |
| 8Août | integer | Number of anomalies reported in August.Number of anomalies reported in August. |
| 9Septembre | integer | Number of anomalies reported in September.Number of anomalies reported in September. |
| 10Octobre | integer | Number of anomalies reported in October.Number of anomalies reported in October. |
| 11Novembre | integer | Number of anomalies reported in November.Number of anomalies reported in November. |
| 12Décembre | integer | Number of anomalies reported in December.Number of anomalies reported in December. |
Schema captured from datafair 27 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 11: 101 · 2: 70
{
"1": 101,
"2": 70,
"3": 70,
"4": 114,
"5": 91,
"6": 87,
"7": 30,
"8": 4,
"9": 86,
"10": 92,
"11": 139,
"12": 110,
"annee": 2024,
"_score": null,
"services": "VOIRIE"
}Record 21: 6 · 2: 6
{
"1": 6,
"2": 6,
"3": 7,
"4": 10,
"5": 4,
"6": 4,
"7": 1,
"8": 2,
"9": 6,
"10": 3,
"11": 7,
"12": 11,
"annee": 2024,
"_score": null,
"services": "SALUBRITE SANTE PUBLIQUE"
}Record 31: 1 · 2: 3
{
"1": 1,
"2": 3,
"3": 3,
"4": 4,
"5": 2,
"6": 1,
"7": 1,
"8": 1,
"9": 1,
"10": 0,
"11": 7,
"12": 1,
"annee": 2024,
"_score": null,
"services": "RISQUES ACCEESSIBILITE"
}Record 41: 2 · 2: 2
{
"1": 2,
"2": 2,
"3": 1,
"4": 2,
"5": 2,
"6": 3,
"7": 2,
"8": 0,
"9": 1,
"10": 2,
"11": 2,
"12": 5,
"annee": 2024,
"_score": null,
"services": "PREVENTION TRANQUILLITE PUBLIQUE"
}Record 51: 59 · 2: 65
{
"1": 59,
"2": 65,
"3": 55,
"4": 103,
"5": 62,
"6": 69,
"7": 38,
"8": 8,
"9": 96,
"10": 60,
"11": 86,
"12": 70,
"annee": 2024,
"_score": null,
"services": "PREVENTION - TRANQUILLITE"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandpoitiers.fr/data-fair/api/v1/datasets/espace-public-signalement-des-anomalies-sur-lespace-public-par-service20142024/
- Format
- openapi
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandpoitiers.fr/data-fair/api/v1/datasets/espace-public-signalement-des-anomalies-sur-lespace-public-par-service20142024/lines?size=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Dataset
Volume & freshness
License
No license declared upstream.
Source: datafair
Machine-readable & source
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