Sales data analysis — Python & Pandas

Loads a year of retail sales transactions (region, category, product, quantity, price)

Cleans the data with pandas: standardizes text, removes duplicate orders, handles missing values

Analyzes monthly revenue trends, best-selling products, regional performance, and category performance over time

Visualizes everything with matplotlib and seaborn

Summarizes the findings in a short written insights section