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Dataset ini mencakup informasi tentang\ntransaksi e-commerce, memberikan wawasan tentang tren dan pola pembelian online di sebuah negara.\n\nMelalui dashboard ini, data divisualisasikan secara menarik untuk memudahkan pemahaman terhadap\nberbagai aspek penjualan e-commerce. Misalnya, pengguna dapat melihat kota dengan jumlah penjual\nterbanyak, kategori produk yang paling populer, serta tren pembelian selama jangka waktu tertentu.\nFitur interaktif pada dashboard memungkinkan eksplorasi data secara lebih mendalam.\n\nTujuan dari proyek ini adalah menyediakan dashboard yang informatif dan interaktif, yang membantu\ndalam memahami serta menganalisis informasi dari E-Commerce Public Dataset.\n\nBefore run the program, take a look at the following resources:\n\n# 🔗 Application URL\n\nhttps://e-commerces.streamlit.app/\n\n## Require\n\n- [Python v3.12.4+](https://www.python.org/downloads/) - Python.\n\nlibrary For Use:\n\n- Streamlit\n- Matplotlib\n- Pandas\n- Numpy\n- more..\n\nmake venv / env :\n\n```bash\npython -m venv .venv\n```\n\nThen configure venv / env\n\n```bash\n# use venv\nsource .venv/scripts/activate\n\n# install all library\npip install -r requirements.txt\n```\n\nrunning notebook :\n\n```bash\njupyter-notebook .\n```\n\nrunning dashboard :\n\n```bash\ncd dashboard\nstreamlit run main.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhazz-i%2Fe-commerce-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhazz-i%2Fe-commerce-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhazz-i%2Fe-commerce-analysis/lists"}