Two years of retail sales. 20 stores, 5 regions, 8 categories.
Instant profiling, quality flags, visualizations, and a plain-English synopsis — automatically. Then ask questions or generate SQL.
About the data
Download CSV25k daily POS transactions across 20 stores, 5 regions, and 8 product categories over two years. Rich time-series structure for trend decomposition, regional comparisons, and seasonal pattern analysis.
Data is synthetic and for demonstration purposes only. Inspired by Kaggle · Store Sales – Time Series Forecasting
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Frequently Asked Questions
What is the Retail Daily Sales dataset?▾
25k daily POS transactions across 20 stores, 5 regions, and 8 product categories over two years. Rich time-series structure for trend decomposition, regional comparisons, and seasonal pattern analysis.
How many rows and columns does the Retail Daily Sales dataset have?▾
The Retail Daily Sales dataset contains 25,000 rows and 9 columns. The file size is approximately 1.6 MB in CSV format.
What can I do with the Retail Daily Sales dataset in Infoveave?▾
You can upload the Retail Daily Sales 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 Retail Daily Sales dataset free to download?▾
Yes, the Retail Daily Sales 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 Retail Daily Sales dataset suited for?▾
The Retail Daily Sales dataset is suited for eda. Common applications include sales analysis, revenue trends, discount impact.
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