This dataset provides monthly, quarterly and annual average regular or premium unleaded gasoline pump prices, taxes and ex-tax pump prices in Canada, USA, France, Germany, Britain and Japan, all converted to Canadian cents per litre. To view charts and current fuel price data you can also visit the motor fuel prices page. *[USA]: United States of America

This table contains 5 series, with data for years 1972 - 2010 (not all combinations necessarily have data for all years), and was last released on 2010-05-12. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Commodity (5 items: Total; all commodities; Food; Total excluding energy; Energy ...).

Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).

This table contains 3 series, with data for years 1953 - 1984 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Consumer Price Index (CPI) (3 items: Total; Food; Total; excluding food ...).

This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).

📈 Daily Historical Stock Price Data for Air Canada (2010–2025)

A clean, ready-to-use dataset containing daily stock prices for Air Canada from 2010-03-30 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Air Canada Ticker Symbol: AC.TO Date Range: 2010-03-30 to 2025-05-28 Frequency: Daily Total Records: 3803 rows (one per trading day)

  🔢 Columns… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-air-canada-20102025.

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q4 2024 about Canada, residential, HPI, housing, real, price index, indexes, and price.

This table contains 58 series, with data for years 2009 - 2013 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (58 items: Canada; Newfoundland and Labrador; St. John's, Newfoundland and Labrador; Non-census metropolitan areas, Newfoundland and Labrador; ...).

This dataset provides monthly, quarterly and annual average regular or premium unleaded gasoline pump prices, taxes and ex-tax pump prices in Canada, USA, France, Germany, Britain and Japan, all converted to Canadian cents per litre. To view charts and current fuel price data you can also visit the motor fuel prices page. *[USA]: United States of America

This file contains data from a weekly national price survey conducted in six Canadian cities: St. John’s, Charlottetown, Saint John, Regina, Yellowknife and Moncton. The data pertain to average retail prices for food products and cover the period January 1974 to December 1975. These datasets have been converted from their legacy file structures and encoding schemes so they can be used by contemporary computers that are based upon the ASCII character-encoding scheme. Each dataset will require specialized software such as a statistical tool, to interpret and analyze the content in each file. The attached codebook describes the file’s structure and defines the variables contained in each field. Each code book is a compilation of the summary description of the dataset as provided by the creating department. As such, it is available in English only.

Prices in US dollars per barrel of WCS oil and in Canadian dollars per gigajoule of natural gas.

This dataset focuses on coal exports from Canada, US and Australia and their respective prices by destination. This database is presented in quarterly datapoints where the prices are expressed in USD per tonne. [Dataset edition 2012].

Net-a-Porter web scraped data

  About the website

The Ecommerce industry is a growing sector in the Americas, especially in Canada. Businesses in this realm focus on the buying and selling of goods and services over electronic systems, particularly the internet. Net-a-Porter, as an online retail brand, operates within this sector by offering a wide range of luxury fashion items to their Canadian clientele. The dataset analyzed presents relevant Ecommerce product-list page… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.Canada.

Louis Vuitton web scraped data

  About the website

The luxury fashion industry in the Americas, specifically in Canada is flourishing and significantly competitive. A vital player, Louis Vuitton, has crucially attained a strong positioning in this market. The industry in focus encompasses high-end, exclusive products and services, which are in high demand amongst the affluent sections of society. These products typically include haute couture, ready-to-wear clothing… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Louis.Vuitton.Product.prices.Canada.

This table contains 52 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: United States ...) Components (15 items: Total gross national product; Total gross domestic product; Gross domestic product; business; Gross domestic product; business; non-farm ...) Prices (4 items: Current prices; 1992 constant prices; Chained (2000) dollars; Chained (1996) dollars ...).

CAP USA & Canada Shopping Centers Basic is an affordable and efficient solution designed to assist retailers, real estate professionals, and analysts in conducting entry-level assessments of shopping centers across the USA & Canada. This resource provides essential data to help classify and evaluate retail properties with ease.

The dataset includes nine key attributes that aid in identifying and categorizing shopping center types. It features a Unique Property ID for each location, ensuring precise identification and seamless data integration. Additionally, users can quickly determine the size of shopping centers, making it easier to compare properties and assess market opportunities.

With its cost-effective approach, CAP USA & Canada Shopping Centers Basic offers a streamlined yet insightful way to support first-level analysis, helping businesses and investors make informed decisions efficiently.

This file contains general time series econometric data and social statistics concerning the state of Canada’s labour force. The data cover the time period between 1950 and 1970.

These datasets have been converted from their legacy file structures and encoding schemes so they can be used by contemporary computers that are based upon the ASCII character-encoding scheme. Each dataset will require specialized software such as a statistical tool, to interpret and analyze the content in each file. The attached codebook describes the file’s structure and defines the variables contained in each field. Each code book is a compilation of the summary description of the dataset as provided by the creating department. As such, it is available in English only.

The datasets contain the computer code and data required to determine the cost and economic impacts of phosphorus recovery from municipal wastewater in Canada and the United States. The datasets supply data to (i) calculate the efficiency and cost of phosphorus recovery from the aqueous phase of digestate and sewage sludge for wastewater resource recovery facilities (WRRFs) as shown in Figure 1; (ii) estimate the average annual per capita phosphorus recovery cost and the household affordability index (HAI) across the second-level territory divisions (census divisions (Canada) and counties (United States)) when excluding and including the offset cost derived from avoiding potential environmental damage caused by phosphorus releases as shown in Figure 2; (iii) supply the distribution of population in urban and rural areas, the treatment level of the WRRFs, and the phosphorus recovery points as a function of the WRRF scale in the studied regions of Canada and the United States as shown in Figure 3; and (iv) describe the distribution of the average phosphorus recovery cost, annual per capita phosphorus recovery costs, and the HAI per studied regions as shown in Figure 4. Data describing the WRRFs’ location and characteristics across the studied regions of Canada and the United States are retrieved from the HydroWASTE database (https://www.hydrosheds.org/products/hydrowaste), including their spatial coordinates, treatment level, treatment design capacity, and population served. The HydroWASTE database reports the WRRF treatment level as primary, secondary, and advanced treatment. Since the U.S. Environmental Protection Agency does not define numeric nutrient water quality criteria for secondary wastewater treatment effluents, we consider that only the WRRFs with advanced treatments have specific processes for removing phosphorus from the liquid effluent. To perform the analysis at the second-level divisions, data on total population, distribution of population in urban and rural areas, total income, and average annual income per capita are retrieved at the census division and county level for Canada and the United States, respectively. Data for the year 2020 is considered since it is the most recent information available for both countries. The first-level divisions level corresponds to census divisions of the United States, which provide territorial divisions similar in terms of development, demographic characteristics, and economic activities, being extensively used for collecting and analyzing data throughout the United States. A table of the states included in each United States census division can be found in the Supplementary Information file. The equivalent of the United States census divisions for Canada is the Canadian provinces and territories, although it must be noted that, unlike the case of the United States, their definition is guided by administrative and political considerations instead of statistical criteria.

📊 Supplement Sales Data (2020–2025) Overview This dataset contains weekly sales data for a variety of health and wellness supplements from January 2020 to April 2025. The data includes products in categories like Protein, Vitamins, Omega, and Amino Acids, among others, and covers multiple e-commerce platforms such as Amazon, Walmart, and iHerb. The dataset also tracks sales in several locations including the USA, UK, and Canada.

Dataset Details Time Range: January 2020 to April 2025

Frequency: Weekly (Every Monday)

Number of Rows: 4,384

Columns:

Date: The week of the sale.

Product Name: The name of the supplement (e.g., Whey Protein, Vitamin C, etc.).

Category: The category of the supplement (e.g., Protein, Vitamin, Omega).

Units Sold: The number of units sold in that week.

Price: The selling price of the product.

Revenue: The total revenue generated (Units Sold * Price).

Discount: The discount applied on the product (as a percentage of original price).

Units Returned: The number of units returned in that week.

Location: The location of the sale (USA, UK, or Canada).

Platform: The e-commerce platform (Amazon, Walmart, iHerb).

Use Cases This dataset is ideal for:

Time-series forecasting and sales trend analysis 📈

Price vs. demand analysis and revenue prediction 📊

Sentiment analysis and impact of promotions (Discounts) on sales 🛍️

Product performance tracking across different platforms and locations 🛒

Business optimization in the health and wellness e-commerce sector 💼

Potential Applications Build predictive models to forecast future sales 📅

Analyze the effectiveness of discounts and promotions 💸

Create recommendation systems for supplement products 🧠

Perform exploratory data analysis (EDA) and uncover trends 🔍

Model return rates and their effect on overall revenue 📉

Why This Dataset? This dataset provides an excellent starting point for those interested in building business intelligence tools, e-commerce forecasting models, or exploring health & wellness trends. It also serves as a perfect dataset for data science learners looking to apply regression, time-series analysis, and predictive modeling techniques.