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Rennes 2030 - Answers by ThemeRennes 2030 - Réponses par thème

Rennes 2030 - Réponses par thèmeRennes 2030 - Answers by Theme

APIJoinable5/7Query nowOpen workbenchSubscribe🇫🇷France

This API provides answers to the questionnaires used in the "Balades Urbaines" (urban walks) application for the Rennes 2030 participatory project. Data is updated in real time and organized by theme. A copy of the questionnaire is available for download to help interpret the responses. The dataset is published by Rennes Métropole and covers the Rennes metropolitan area in France, offering local-scope access without authentication for anyone wishing to analyze citizen input gathered through the urban walks initiative.'Réponses aux questionnaires proposés dans le cadre de l'application "Balades Urbaines" pour Rennes 2030. Les données sont mises à jour en temps réel. Pour mieux comprendre les données, vous pouvez télécharger le questionnaire ci-joint.

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Weighted across five axes. Tap a ring for what it measures.

Data schema (10 fields)

Filterable via the API (9)
idcontribution_idthemequestionanswer_labelanswer_keyid_userlatlng

Click a field to see example values.

FieldTypeDescription
idFilterable via the APIintUnique identifier of the answer record.Unique identifier of the answer record.
contribution_idFilterable via the APIContribution idintIdentifier of the questionnaire the answer belongs to.ID du questionnaire
themeFilterable via the APIthèmetextTopic or category of the questionnaire question.Topic or category of the questionnaire question.
questionFilterable via the APItextText of the question asked in the survey.Text of the question asked in the survey.
answer_labelFilterable via the APIAnswer labeltextText label of the chosen answer.Text label of the chosen answer.
answer_keyFilterable via the APIAnswer keytextInternal code identifying the selected answer option.Internal code identifying the selected answer option.
id_userFilterable via the APIId usertextIdentifier of the user who submitted the answer.Identifier of the user who submitted the answer.
latFilterable via the APItextLatitude coordinate of the location associated with the answer.Latitude coordinate of the location associated with the answer.
lngFilterable via the APItextLongitude coordinate of the location associated with the answer.Longitude coordinate of the location associated with the answer.
geoTerritorygeo_point_2dGeographic point combining latitude and longitude of the answer location.Geographic point combining latitude and longitude of the answer location.

Schema captured from opendatasoft 6 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.

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Sample data (5 records)

Record 1id: 375 · geo: {"lat":48.11903457,"lon":-1.70955829}
{
  "id": 375,
  "geo": {
    "lat": 48.11903457,
    "lon": -1.70955829
  },
  "lat": "48.11903457",
  "lng": "-1.70955829",
  "theme": "Nature / fleuve",
  "id_user": "4023",
  "question": "Ces parcs, vous les aimeriez plutôt…",
  "answer_key": "answer2",
  "answer_label": "Ouverts à tous les loisirs, comme le parc des Gayeulles",
  "contribution_id": 4
}
Record 2id: 239 · geo: {"lat":48.102806,"lon":-1.662221}
{
  "id": 239,
  "geo": {
    "lat": 48.102806,
    "lon": -1.662221
  },
  "lat": "48.102806",
  "lng": "-1.662221",
  "theme": null,
  "id_user": "5d75",
  "question": "Du Nord au Sud de la coupure à soudure grâce à EuroRennes?",
  "answer_key": null,
  "answer_label": "like",
  "contribution_id": 27
}
Record 3id: 218 · geo: {"lat":48.116863,"lon":-1.6555415}
{
  "id": 218,
  "geo": {
    "lat": 48.116863,
    "lon": -1.6555415
  },
  "lat": "48.116863",
  "lng": "-1.6555415",
  "theme": "Nature / fleuve",
  "id_user": "7fb4",
  "question": "En 2030, des quartiers tournés vers le fleuve ?",
  "answer_key": null,
  "answer_label": "like",
  "contribution_id": 29
}
Record 4id: 624 · geo: {"lat":48.10861846,"lon":-1.68392618}
{
  "id": 624,
  "geo": {
    "lat": 48.10861846,
    "lon": -1.68392618
  },
  "lat": "48.10861846",
  "lng": "-1.68392618",
  "theme": "Centre Ville",
  "id_user": "41A3",
  "question": "La voiture a-t-elle sa place dans le centre-ville ?",
  "answer_key": null,
  "answer_label": "scale2",
  "contribution_id": 6
}
Record 5id: 834 · geo: {"lat":48.111973,"lon":-1.6597909}
{
  "id": 834,
  "geo": {
    "lat": 48.111973,
    "lon": -1.6597909
  },
  "lat": "48.111973",
  "lng": "-1.6597909",
  "theme": "Nature / fleuve",
  "id_user": "0b77",
  "question": "Où préférez-vous vous balader ?",
  "answer_key": "answer1",
  "answer_label": "Dans les parcs à Rennes",
  "contribution_id": 4
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/rennes-2030-reponses-par-theme

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/rennes-2030-reponses-par-theme/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.

Full API documentation ↗

Rate limits

7 000 req/day
per ipmeasured
observed 6 days ago

Dataset

Volume & freshness

Records
913
Last upstream update
8 years ago
2018-12-03
Temporal coverage
2016 → ongoing

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Rennes 2030 - Réponses par thème — live verification badge

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