Tous les jeux de données

Great Britain retail sales: chained volume index (monthly)

Retail sales index for Great Britain — chained volume of retail sales, all retailing including automotive fuel, seasonally adjusted, monthly. Office for National Statistics.

Source: Office for National Statistics457 lignesMis à jour: 21/09/2026
retailconsumerspendinguk

Qualité

98.4

Attribution

Office for National Statistics

Schéma

ColonneTypeDescription
datestringObservation period from the ONS API Time dimension (code list mmm-yy, e.g. 'Jan-24'), stored as the first day of the month.
series_idstringONS API dimension option code identifying the series (e.g. 'CP00' for the CPIH overall index).
series_labelstringSeries label published by the ONS for the dimension option code (e.g. 'Overall Index').
valuefloatObservation value returned by the ONS API. Units are 2019=100. (unit: 2019=100)

Exemple de lignes

dateseries_idseries_labelvalue
1988-01-01chained-volume-of-retail-salesChained volume of retail sales
1988-02-01chained-volume-of-retail-salesChained volume of retail sales
1988-03-01chained-volume-of-retail-salesChained volume of retail sales
1988-04-01chained-volume-of-retail-salesChained volume of retail sales
1988-05-01chained-volume-of-retail-salesChained volume of retail sales

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/ons/ons_retail_sales" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/ons/ons_retail_sales").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/ons/ons_retail_sales

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

Great Britain retail sales: chained volume index (monthly)