This dataset provides a comprehensive overview of online sales transactions across different product categories. Each row represents a single transaction with detailed information such as the order ID, date, category, product name, quantity sold, unit price, total price, region, and payment method.

Columns:

• Order ID: Unique identifier for each sales order.
• Date:Date of the sales transaction.
• Category:Broad category of the product sold (e.g., Electronics, Home Appliances, Clothing, Books, Beauty Products, Sports).
• Product Name:Specific name or model of the product sold.
• Quantity:Number of units of the product sold in the transaction.
• Unit Price:Price of one unit of the product.
• Total Price: Total revenue generated from the sales transaction (Quantity * Unit Price).
• Region:Geographic region where the transaction occurred (e.g., North America, Europe, Asia).
• Payment Method: Method used for payment (e.g., Credit Card, PayPal, Debit Card).

Insights:

• 1. Analyze sales trends over time to identify seasonal patterns or growth opportunities.
• 2. Explore the popularity of different product categories across regions.
• 3. Investigate the impact of payment methods on sales volume or revenue.
• 4. Identify top-selling products within each category to optimize inventory and marketing strategies.
• 5. Evaluate the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.

• 3M+ Contact Profiles • 5M+ Worldwide eCommerce Brands • Direct Contact Info for Decision Makers • Contact Direct Email and Mobile Number • 15+ eCommerce Platforms • 20+ Data Points • Lifetime Support Until You 100% Satisfied

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• Robust and Reliable Data Sourcing
  We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:

  • Real-Time Information from 10 Active Publication Sites: Our databases are continuously updated with the latest information, sourced from ten active publication sites that provide real-time data.
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  Primary Use Cases Across Industries

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Global Coverage for Comprehensive Engagement

Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more

Comprehensive Employee and Revenue Size Information

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This dataset contains a list of sales and movement data by item and department appended monthly. Update Frequency : Monthly

This statistic presents a ranking of the most popular online stores in Germany in the electronics and media segment in 2021, sorted by annual net e-commerce sales. For more information please visit ecommerceDB.com.In 2021, market leader amazon.de generated 10.1 billion U.S. dollars via the sale of physical goods in the category electronics and media in Germany. The online store mediamarkt.de was ranked second with a revenue of 1.4 billion U.S. dollars.

This statistic presents a ranking of the most popular online stores in the United Kingdom in the food and personal care segment in 2021, sorted by annual net e-commerce sales. For more information please visit ecommerceDB.com.In 2021, market leader tesco.com generated 6.1 billion U.S. dollars via the sale of products from the foor and personal care segment in the United Kingdom. The online store sainsbury.co.uk was ranked second with a revenue of 4 billion U.S. dollars.

China Online Retail Sales: YoY: Year to Date: Goods data was reported at 5.700 % in Mar 2025. This records an increase from the previous number of 5.000 % for Feb 2025. China Online Retail Sales: YoY: Year to Date: Goods data is updated monthly, averaging 19.900 % from Jun 2014 (Median) to Mar 2025, with 115 observations. The data reached an all-time high of 49.900 % in Sep 2014 and a record low of 3.000 % in Feb 2020. China Online Retail Sales: YoY: Year to Date: Goods data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Online Retail Sales.

China Tmall Online Sales: Number of Store data was reported at 323.013 Unit th in Aug 2020. This records an increase from the previous number of 316.519 Unit th for Jul 2020. China Tmall Online Sales: Number of Store data is updated monthly, averaging 279.212 Unit th from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 323.013 Unit th in Aug 2020 and a record low of 238.574 Unit th in Jun 2019. China Tmall Online Sales: Number of Store data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

• 500M B2B Contacts • 35M Companies • 20+ Data Points to Filter Your Leads • 100M+ Contact Direct Dial and Mobile Number • Lifetime Support Until You 100% Satisfied

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With our simple-to-use system and up-to-date B2B contact list, we hope to make your job easier. You’ll be able to filter your data at Lfbbd based on the industry you work in. For example, you can choose from real estate companies or just simply tap into the healthcare business. Our database is updated on a regular basis, and you will receive contact information as soon as possible.

Use our information to quickly locate new business clients, competitors, and suppliers. We’ve got your back, no matter what precise requirements you have.

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• Connect directly with the right decision-makers, using the most accurate database of emails and direct dials. Build a clean prospecting list that you can plug into your sales tools and generate new leads from, right away • Over 500 million business contacts worldwide. • You could filter your targeted leads by 20+ criteria including job title, industry, location, Revenue, Technology, and more. • Find the email addresses of the professionals you want to contact one by one or in bulk.

Amazon.co.uk is leading the Toys & Baby e-commerce market in the UK, with e-commerce net sales of US$854 million in 2021 generated in the UK, followed by argos.co.uk with US$779 million. Third place is taken by sainsburys.co.uk with a revenue of US$529 million. Very.co.uk is the fourth biggest Toys & Baby online store in the UK with net sales of US$302 million in 2021. For an extended ranking, please visit ecommerceDB.com.

China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data was reported at 0.700 % in Aug 2020. This records a decrease from the previous number of 0.900 % for Jul 2020. China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data is updated monthly, averaging 0.740 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 1.020 % in Jul 2019 and a record low of 0.520 % in May 2020. China Book, Magazine, Newspaper: Taobao and Tmall Online Sales: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: Cultural and Entertainment Article.

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Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

Short-term business statistics (STS) give information on a wide range of economic activities. All STS data are index data. Additionally, annual absolute values are released for building permits indicators. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or calendar and seasonally adjusted data (volume and value indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators).

The index data are generally presented in the following forms:

• unadjusted
• calendar adjusted
• calendar and seasonally adjusted.

Depending on the EBS Regulation data are accessible as monthly, quarterly and annual data.

The STS indicators are listed below in five different sectors, reflecting the dissemination of these data in Eurostat’s online database “Eurobase”.

Based on the national data, Eurostat compiles short-term indicators for the EU and euro area. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of primary importance for the conduct of monetary and economic policy of the euro area. The PEEIs contributed by STS are marked with * in the text below.

The euro indicators are released through Eurostat's website.

INDUSTRY

• production (volume)*
• turnover: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic turnover into euro area and non-euro area is available for the euro area countries.
• producer prices (output prices)*: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic producer prices into euro area and non-euro area is available for the euro area countries.
• import prices*: Total, euro area market, Non euro area market (euro area countries only)
• labour input indicators: Number of employees and self-employed persons, Hours worked by employees, Gross wages and salaries

CONSTRUCTION

• production (volume)*
• building permits indicators*: number of dwellings, square meters of useful floor
• producer (output) prices in construction (if not available, they can be approximated by the construction costs variable)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

TRADE

• volume of sales (deflated turnover)*
• turnover (value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

SERVICES

• production (volume)*
• turnover (in value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries
• producer prices (output prices)*

MARKET ECONOMY

• total market production (volume)
• registrations
• bankruptcies

National reference metadata of the reporting countries are available in the Annexes to this metadata file.

China Taobao Online Sales: Volume data was reported at 7,625.827 Unit mn in Aug 2020. This records an increase from the previous number of 7,391.891 Unit mn for Jul 2020. China Taobao Online Sales: Volume data is updated monthly, averaging 7,625.827 Unit mn from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 8,645.429 Unit mn in Aug 2019 and a record low of 3,475.599 Unit mn in Feb 2020. China Taobao Online Sales: Volume data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

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The global columnar databases market is projected to be valued at $40 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 8.5%, reaching approximately $85 billion by 2034.

China Tmall Online Sales: Volume data was reported at 4,236.676 Unit mn in Aug 2020. This records an increase from the previous number of 4,075.754 Unit mn for Jul 2020. China Tmall Online Sales: Volume data is updated monthly, averaging 4,155.080 Unit mn from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 6,005.362 Unit mn in Nov 2019 and a record low of 2,381.569 Unit mn in Feb 2020. China Tmall Online Sales: Volume data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.

CN: Personal Care and Daily Use Good: Taobao and Tmall Online Sales: Number of Product data was reported at 6,086.888 Unit th in Mar 2025. This records an increase from the previous number of 4,639.095 Unit th for Feb 2025. CN: Personal Care and Daily Use Good: Taobao and Tmall Online Sales: Number of Product data is updated monthly, averaging 6,817.693 Unit th from Jan 2019 (Median) to Mar 2025, with 75 observations. The data reached an all-time high of 19,223.264 Unit th in Jan 2019 and a record low of 4,463.242 Unit th in Nov 2020. CN: Personal Care and Daily Use Good: Taobao and Tmall Online Sales: Number of Product data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: By Category.

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China Tmall Online Sales: Value data was reported at 318,395.966 RMB mn in Aug 2020. This records an increase from the previous number of 298,586.109 RMB mn for Jul 2020. China Tmall Online Sales: Value data is updated monthly, averaging 298,586.109 RMB mn from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 573,284.907 RMB mn in Nov 2019 and a record low of 170,827.890 RMB mn in Feb 2020. China Tmall Online Sales: Value data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales.