100+ datasets found
  1. Store Sales Data 2022~2023

    • kaggle.com
    Updated Sep 11, 2024
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    Ta-wei Lo (2024). Store Sales Data 2022~2023 [Dataset]. https://www.kaggle.com/datasets/taweilo/store-sales-data-20222023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ta-wei Lo
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This is a case study for the company to improve sales

    Business Goal
    Date: 2023/09/15
    Dataset: Sales quantity of a certain brand from January to December 2022 and from January to September 2023.

    Please describe what you observe (no specific presentation format required). Among your observations, identify at least three valuable insights and explain why you consider them valuable.
    If more resources were available to you (including time, information, etc.), what would you need, and what more could you achieve?

    Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

    Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

    Sample question & answer 1. Product insights: identify the product sales analysis, such as BCG matrix 2. Store insights: identify the sales performance of the sales 3. Supply chain insights: identify the demand 4. Time series forecasting: identify tread, seasonality

    Feel free to leave comments on the discussion. I'd appreciate your upvote if you find my dataset useful! 😀

  2. Online produce sales share in the U.S. 2019-2023

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Online produce sales share in the U.S. 2019-2023 [Dataset]. https://www.statista.com/statistics/1337235/online-produce-sales-share-in-the-us/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From 2019 to 2023, the sales of fresh produce from online sales channels have increased from 0.7 percent to amost three percent of sales from all channels, constituting an increase of about 2.7 percent dollar sales share.

  3. G

    Production, sales and stocks of electric household appliances

    • open.canada.ca
    • datasets.ai
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Production, sales and stocks of electric household appliances [Dataset]. https://open.canada.ca/data/en/dataset/76a8e18a-0507-4fed-b393-e633cb3b4a09
    Explore at:
    xml, csv, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 18 series, with data for years 1946 - 1991 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Components (3 items: Production; Sales; Factory stocks); Standard Classification of Goods (SCG) (6 items: Washing machines; Clothes dryers; Ranges; Small ranges (under 71 centimetres); ...).

  4. F

    Final Sales of Domestic Product

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Final Sales of Domestic Product [Dataset]. https://fred.stlouisfed.org/series/FINSAL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Final Sales of Domestic Product (FINSAL) from Q1 1947 to Q1 2025 about final sales, domestic, production, sales, GDP, and USA.

  5. Total produce sales share in the U.S. 2023, by channel

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Total produce sales share in the U.S. 2023, by channel [Dataset]. https://www.statista.com/statistics/1337225/us-produce-sales-share-by-channel/
    Explore at:
    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, traditional grocery stores had the highest sales share of fresh produce in the U.S. by far, accounting for over 40 percent produce sales. Internet sales of fresh produce accounted for only 2.5 percent of sales.

  6. Sales value of organic and conventional produce in the U.S. 2019-2023

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Sales value of organic and conventional produce in the U.S. 2019-2023 [Dataset]. https://www.statista.com/statistics/1378799/sales-value-of-organic-and-conventional-produce-in-the-us/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Although the sales value for organic produce has been growing every year in the U.S. since 2019, conventional produce still has a sales value over seven times higher than organic. Organic sales in 2023 amounted to about *** billion U.S. dollars, whereas conventional produce sales reached **** billion U.S. dollars.

  7. F

    Average Weekly Earnings of Production Employees: Retail Trade in Grand...

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
    + more versions
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    (2025). Average Weekly Earnings of Production Employees: Retail Trade in Grand Rapids-Wyoming-Kentwood, MI (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU26243404200000030
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Kentwood, Grand Rapids-Wyoming, MI, Michigan
    Description

    Graph and download economic data for Average Weekly Earnings of Production Employees: Retail Trade in Grand Rapids-Wyoming-Kentwood, MI (MSA) (SMU26243404200000030) from Jan 2011 to May 2025 about Grand Rapids, MI, earnings, retail trade, production, sales, retail, employment, and USA.

  8. k

    Cement Production and Sales

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Feb 19, 2025
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    (2025). Cement Production and Sales [Dataset]. https://datasource.kapsarc.org/explore/dataset/cement-production-and-sales/
    Explore at:
    Dataset updated
    Feb 19, 2025
    Description

    Explore data on domestic sales and production of cement in Saudi Arabia with the SAMA Annual dataset. Find valuable insights and trends to help inform your decisions in the cement industry.

    Domestic Sales, Cement, Production, Sales, SAMA Annual Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Unit :In thousand tonsIt represents the production and sales of 10 companies , 15 companies , and 17 companies after 2017.

  9. T-Mart

    • kaggle.com
    Updated Aug 10, 2023
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    Gowtham G (2023). T-Mart [Dataset]. https://www.kaggle.com/datasets/imgowthamg/t-mart
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 10, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Gowtham G
    Description

    The provided dataset appears to be a sales dataset from a company called "**T-Mart.**" The dataset contains various columns with information about the sales transactions, including the date of the transaction, product details, quantity, sales type, location, payment mode, product category, unit of measurement (UOM), purchase price, and some additional labels and counts.

    Based on the given information, here's a brief description of the dataset:

    The "T-Mart" sales dataset captures sales transactions with details such as the transaction date, unique product identifier (PRODUCT ID), quantity sold, sales type (Direct Sales, Online, etc.), sales location (e.g., California, Alabama), payment mode (Cash, Online), product details (PRODUCT, CATEGORY, UOM), purchase price, and some additional label-based information.

    This dataset provides insights into various aspects of the company's sales operations, including the distribution of sales across different categories, products, and locations, as well as information about the payment modes used for transactions.

    Analyzing this dataset can help identify trends, popular products, sales performance by location, and preferred payment methods. It's essential for understanding the company's sales dynamics and making informed business decisions.

    This dataset appears to be rich in information, and with the right data visualization techniques, we can uncover valuable insights that can be used for strategic planning and optimizing sales strategies.

  10. F

    Manufacturers Sales

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2025
    + more versions
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    (2025). Manufacturers Sales [Dataset]. https://fred.stlouisfed.org/series/MNFCTRSMSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Manufacturers Sales (MNFCTRSMSA) from Jan 1992 to Apr 2025 about sales, manufacturing, and USA.

  11. T

    MANUFACTURING SALES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 14, 2019
    + more versions
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    TRADING ECONOMICS (2019). MANUFACTURING SALES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/manufacturing-sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 14, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for MANUFACTURING SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  12. China CN: Industrial Enterprise: Product Sales Ratio

    • ceicdata.com
    Updated Dec 15, 2023
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    CEICdata.com (2023). China CN: Industrial Enterprise: Product Sales Ratio [Dataset]. https://www.ceicdata.com/en/china/industrial-financial-data/cn-industrial-enterprise-product-sales-ratio
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2018
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Industrial Enterprise: Product Sales Ratio data was reported at 98.100 % in 2018. This stayed constant from the previous number of 98.100 % for 2017. China Industrial Enterprise: Product Sales Ratio data is updated yearly, averaging 98.010 % from Dec 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 98.180 % in 2006 and a record low of 97.150 % in 1999. China Industrial Enterprise: Product Sales Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data.

  13. UK manufacturers' sales by product

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 19, 2024
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    Office for National Statistics (2024). UK manufacturers' sales by product [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/manufacturingandproductionindustry/datasets/ukmanufacturerssalesbyproductprodcom
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 19, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Annual estimates for UK manufacturers' sales by product covered by the ProdCom survey.

  14. g

    Amazon Product Dataset

    • gts.ai
    json
    Updated Aug 22, 2024
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    GTS (2024). Amazon Product Dataset [Dataset]. https://gts.ai/dataset-download/amazon-product-dataset/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Explore our extensive Amazon Product Dataset, featuring detailed information on prices, ratings, sales volume, and more.

  15. C

    China CN: Tap Water Production & Supply: Product Sales Ratio

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Tap Water Production & Supply: Product Sales Ratio [Dataset]. https://www.ceicdata.com/en/china/financial-data-water-production-and-supply-tap-water-production-and-supply/cn-tap-water-production--supply-product-sales-ratio
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2010 - Aug 1, 2011
    Area covered
    China
    Variables measured
    Material Supply
    Description

    China Tap Water Production & Supply: Product Sales Ratio data was reported at 97.150 % in Aug 2011. This records an increase from the previous number of 96.860 % for Jul 2011. China Tap Water Production & Supply: Product Sales Ratio data is updated monthly, averaging 96.890 % from Feb 2009 (Median) to Aug 2011, with 29 observations. The data reached an all-time high of 97.610 % in May 2009 and a record low of 95.870 % in Feb 2009. China Tap Water Production & Supply: Product Sales Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCA: Financial Data: Water Production and Supply: Tap Water Production and Supply.

  16. e

    Industry; production, sales, orders, SIC 2008, 2000-2012

    • data.europa.eu
    • cbs.nl
    • +3more
    atom feed, json
    Updated Sep 12, 2014
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    (2014). Industry; production, sales, orders, SIC 2008, 2000-2012 [Dataset]. https://data.europa.eu/data/datasets/4808-industry-production-sales-orders-sic-2008-2000-2012
    Explore at:
    atom feed, jsonAvailable download formats
    Dataset updated
    Sep 12, 2014
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The tables presents indices (2005=100) and changes on twelve months previously (%) of production, turnover and orders in industry (excluding construction), by sector of industry.

    Data available: January 2000 till December 2012

    Table has been discontinued as from 22 March 2013 due to change of the base year from 2005 to 2010. Statistics Netherlands has started a new table, Industry; production, sales and orders, changes and index (2010 = 100). For more information see sections 3 and 4.

    Status of the figures: Production: three most recent months: Provisional. The figures within a reporting year are revised provisional figures until publication in December of the year concerned. Turnover: three most recent months: Provisional. Orders: three most recent months: Provisional.

    Changes as of 8 July 2011. Due to new regulations (European System for National Accounts, 2010, Balance of Payments Manual 6) for National Accounts and Balance of Payment, the turnover definition has been adapted. These results in adjustments in production index and other short term statistics. The adaptation of the turnover definition is related to a change in registration of enterprises that (partially) contract out of their production abroad. The adjustment means that goods deal with foreign subsidiaries of Dutch parent companies do count for Dutch production. Goods dealt with in the Netherlands by Dutch subsidiaries of foreign parent companies that remain property of these parent companies do no longer count as Dutch production. However, they count as export of services for the sum that has been added to value in the Netherlands. Until December 2009, index figures for manufacturing turnover are based on the previous turnover definition. From January 2010 onwards, the turnover figures are based on the new turnover definition. Therefore, turnover changes 2010 on 2009 are not accurate.

  17. j

    Data from: Dataset for “Effects of Customer Reviews on Product Sales of...

    • jstagedata.jst.go.jp
    xlsx
    Updated Jul 27, 2023
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    Hiroyuki Kondo (2023). Dataset for “Effects of Customer Reviews on Product Sales of Strong Brands: A Qualitative Comparative Analysis” [Dataset]. http://doi.org/10.50998/data.marketing.20116058.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Japan Marketing Academy
    Authors
    Hiroyuki Kondo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset supports the article entitled "Effects of Customer Reviews on Product Sales of Strong Brands: A Qualitative Comparative Analysis."

  18. F

    Production, Sales, Work Started and Orders: Production Volume: Economic...

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2024
    + more versions
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    (2024). Production, Sales, Work Started and Orders: Production Volume: Economic Activity: Industry (Except Construction) for OECD [Dataset]. https://fred.stlouisfed.org/series/OECDPRINTO01IXOBSAM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 17, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Production, Sales, Work Started and Orders: Production Volume: Economic Activity: Industry (Except Construction) for OECD (OECDPRINTO01IXOBSAM) from Jan 1975 to Mar 2024 about OECD Europe, Europe, construction, and production.

  19. U.S.: Total department sales of fresh produce 2019-2022

    • statista.com
    Updated Jun 21, 2022
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    Statista (2022). U.S.: Total department sales of fresh produce 2019-2022 [Dataset]. https://www.statista.com/statistics/1277676/fresh-produce-sales-in-the-us/
    Explore at:
    Dataset updated
    Jun 21, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2019 - May 2022
    Area covered
    United States
    Description

    Total fresh produce sales in the U.S. have increased since 2019. The increase for the total department is about 8.7 billion U.S. dollars, sales value of 75.8 billion U.S. dollar as of May 2022. This includes all sales outlets.

  20. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 17, 2025
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    TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 1992 - May 31, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States decreased 0.90 percent in May of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Share
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Email
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Link copied
Close
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Ta-wei Lo (2024). Store Sales Data 2022~2023 [Dataset]. https://www.kaggle.com/datasets/taweilo/store-sales-data-20222023
Organization logo

Store Sales Data 2022~2023

Sales management, Product management, Appied data analytics, Forecasting

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 11, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Ta-wei Lo
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

This is a case study for the company to improve sales

Business Goal
Date: 2023/09/15
Dataset: Sales quantity of a certain brand from January to December 2022 and from January to September 2023.

Please describe what you observe (no specific presentation format required). Among your observations, identify at least three valuable insights and explain why you consider them valuable.
If more resources were available to you (including time, information, etc.), what would you need, and what more could you achieve?

Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

Metadata of the file Data Period: January 2022 - September 2023 Data Fields: - item - store_id - sales of each month

Sample question & answer 1. Product insights: identify the product sales analysis, such as BCG matrix 2. Store insights: identify the sales performance of the sales 3. Supply chain insights: identify the demand 4. Time series forecasting: identify tread, seasonality

Feel free to leave comments on the discussion. I'd appreciate your upvote if you find my dataset useful! 😀

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