An analysis of the Breast Cancer Wisconsin Diagnostic dataset, exploring selected variables describing cell nucleus characteristics to classify tumors as benign or malignant.

This project analyzes coffee shop sales data obtained from Kaggle. The objective is to explore sales performance, customer demand patterns, payment preferences, and peak operational periods using exploratory data analysis (EDA). The analysis aims to generate actionable insights to support business decision-making in areas such as staffing, product optimization, and revenue planning.