Proyek ini menganalisis data penjualan untuk memberikan wawasan tentang tren penjualan, profitabilitas, dan permintaan produk, guna membantu perusahaan merencanakan strategi harga, promosi, dan pengelolaan inventaris yang lebih efektif.

Tutorial code for performing PCA (with mathematical explanation) on breast cancer features computed from digitized images of fine needle aspirate (FNA) of a breast mass. Center the data, calculate correlation matrix, compute principal components, visualize and interpret results.

This project aims to analyze the profitability of products sold in a departmental store during May 2020, a period significantly impacted by the COVID-19 pandemic. By examining sales patterns, customer preferences, and profitability metrics, the objective is to identify which products are more profitable for strategic decision making.