This project focuses on analyzing sales data to extract meaningful insights that support business decision-making. The dataset includes information such as sales, quantity, discount, profit, and shipping cost. The main objective was to clean, transform, and explore the data to identify key performance trends across products, regions, and time periods.
Key tasks included data cleaning, handling missing and inconsistent values, and performing exploratory data analysis to understand sales behavior and profitability patterns. Various KPIs such as total sales, total profit, average discount, and profit margins were calculated to evaluate overall business performance.
The final output includes an interactive dashboard that visually represents sales trends, top-performing products, and profit distribution, enabling stakeholders to make data-driven decisions and optimize business strategy.