Retail

50,000 online orders. Real dirty data included.

Instant profiling, quality flags, visualizations, and a plain-English synopsis — automatically. Then ask questions or generate SQL.

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About the data

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50k online orders over two years with product categories, shipping methods, return flags, and order status. Includes intentional dirty data: inconsistent category casing and ~5% null shipping_method values.

50,000 rows10 columns~4.1 MB
EDADQ — Dirty DataOrder FulfilmentReturns AnalysisDirty DataNull Handling

Data is synthetic and for demonstration purposes only. Inspired by Kaggle · Brazilian E-Commerce (Olist)

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Frequently Asked Questions

What is the E-Commerce Orders dataset?▾

50k online orders over two years with product categories, shipping methods, return flags, and order status. Includes intentional dirty data: inconsistent category casing and ~5% null shipping_method values.

How many rows and columns does the E-Commerce Orders dataset have?▾

The E-Commerce Orders dataset contains 50,000 rows and 10 columns. The file size is approximately 4.1 MB in CSV format.

What can I do with the E-Commerce Orders dataset in Infoveave?▾

You can upload the E-Commerce Orders CSV directly into Infoveave and use Fovea AI to get instant profiling, data quality checks, visualizations, and a plain-English synopsis. You can also ask natural-language questions or generate SQL — no coding required.

Is the E-Commerce Orders dataset free to download?▾

Yes, the E-Commerce Orders dataset is completely free to download as a CSV file. It is a synthetic dataset inspired by publicly available retail data patterns, created for demonstration and learning purposes.

What use cases is the E-Commerce Orders dataset suited for?▾

The E-Commerce Orders dataset is suited for eda, data quality. Common applications include order fulfilment, returns analysis, dirty data.

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