Sales-Profit Analysis for Retail Superstore

Analyzed retail sales data from the Sample Superstore Dataset using Python, Pandas, NumPy, Matplotlib, and Seaborn. The project covers data cleaning, feature engineering, EDA, and interactive visualization to explore sales, profit trends, discount impact, and regional performance. Key insights: the West region has highest sales, Technology is most profitable, high discounts reduce profit, and sales peak at year-end. Visualizations include bar charts, line plots, scatter plots, and correlation heatmaps for actionable business insights.