E-Commerce-Sales-Analysis: E-Commerce Sales Analysis Dashboard
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Zenodo
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| Formato: | Recurso digital |
| Publicado: |
Zenodo
2025
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| _version_ | 1866902241139490816 |
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| author | Sultan |
| author_facet | Sultan |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16992923 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | E-Commerce-Sales-Analysis: E-Commerce Sales Analysis Dashboard Sultan DNA Mutational Analysis/statistics & numerical data Data Analysis Dashboard Systems pandas Business intelligence <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> |
| title | E-Commerce-Sales-Analysis: E-Commerce Sales Analysis Dashboard |
| topic | DNA Mutational Analysis/statistics & numerical data Data Analysis Dashboard Systems pandas Business intelligence |
| url | https://doi.org/10.5281/zenodo.16992923 |