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| Hovedforfatter: | |
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| Format: | Recurso digital |
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| Udgivet: |
Zenodo
2025
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.16992923 |
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Indholdsfortegnelse:
- <p>This project is an interactive sales analytics dashboard built with Python, Pandas, and Streamlit. It allows users to upload CSV datasets or use the built-in synthetic dataset, and then explore: • KPIs (Revenue, Orders, Completion Rate, Refund Rate) • Filters by Date, Status, Segment, Category, Country • Charts for monthly revenue and category/segment analysis • CSV download of filtered data and KPI reports</p> <p> Live Demo: <a href="https://huggingface.co/spaces/hellosultan/Ecommerce-Sales-Analysis">Hugging Face Space</a> Source Code: <a href="https://github.com/hellosultan/E-Commerce-Sales-Analysis">GitHub Repo</a></p>