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What's in the 5,000 Fake Shopify Order Records: A 5,000-Record CSV Dataset

What's in the 5,000 Fake Shopify Order Records: A 5,000-Record CSV Dataset

via Dev.to PythonOddshop

What's in This Dataset This dataset includes 5,000 realistic fake Shopify order records in CSV format, designed to mirror real-world export data from Shopify. Each record contains essential fields like order_id , customer_email , customer_name , product_name , sku , price , discount_amount , shipping_address , order_status , and order_date . The structure matches actual Shopify CSV exports, making it ideal for testing tools and systems that expect real data formats. With columns covering everything from transactional details to customer demographics, this dataset offers a complete snapshot of e-commerce activity for development and analysis. The dataset is built to be compatible with common data processing tools and includes a balanced mix of order statuses, product categories, and pricing tiers. It also includes fake but realistic shipping addresses and customer information to simulate real-world usage. The CSV format ensures easy integration into most platforms and tools, making it a

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