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Retail trade, trends of seasonally adjusted sales

Retail trade, trends of seasonally adjusted sales, Canada by retail trade subsector. Statistics Canada table 20-10-0030-01.

Source: Government of Canada Open Data1,113 lignesMis à jour: 20/09/2026Licence: OGL-Canada-2.0
retailsalesstatcangovernment-of-canada

Qualité

100

Attribution

Contains information licensed under the Open Government Licence – Canada

Schéma

ColonneTypeDescription
ref_datestringReference date — the time period the observation refers to (Statistics Canada table field REF_DATE).
geostringGeography the observation covers (Statistics Canada table field GEO).
dguidstringDissemination geography unique identifier (Statistics Canada table field DGUID).
retail_trade_sectorsstring
uomstringUnit of measure for the estimate (Statistics Canada table field UOM).
uom_idintegerUnit of measure identifier (Statistics Canada table field UOM_ID).
scalar_factorstringScalar factor applied to the value, e.g. units, thousands or millions (Statistics Canada table field SCALAR_FACTOR).
scalar_idintegerScalar factor identifier (Statistics Canada table field SCALAR_ID).
vectorstringVector number — Statistics Canada's unique identifier for the time series (table field VECTOR).
coordinatefloatTable coordinate locating the estimate within the source table (Statistics Canada table field COORDINATE).
valuefloatEstimate value as published in the Statistics Canada table.
decimalsintegerNumber of decimals published for the estimate (Statistics Canada table field DECIMALS).

Exemple de lignes

ref_dategeodguidretail_trade_sectorsuomuom_idscalar_factorscalar_idvectorcoordinatevaluedecimals
1991-01Canada2016A000011124Total retail, all storesDollars81millions6v1161231.1149941
1991-01Canada2016A000011124AutomotiveDollars81millions6v1161241.25252.31
1991-01Canada2016A000011124FoodDollars81millions6v1161251.33873.71
1991-01Canada2016A000011124General merchandise storesDollars81millions6v1161261.41701.71
1991-01Canada2016A000011124ClothingDollars81millions6v1161271.5910.41

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/ckan_canada/retail_trade_sa" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/ckan_canada/retail_trade_sa").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/ckan_canada/retail_trade_sa

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