Coffee Sales Analysis Dashboard
تفاصيل العمل
Analyzed 3,636 coffee shop sales transactions to uncover revenue trends, peak sales hours, and best-selling products. Built with Python (Pandas, Matplotlib/Seaborn) to clean raw transaction data, calculate KPIs, and generate visual reports covering daily/monthly revenue trends, product performance, and customer purchase patterns. Delivered as a clean, presentation-ready set of charts with actionable insights for inventory and staffing decisions.
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