Cleaned and analyzed a retail sales dataset using Python, Pandas, and Matplotlib to uncover business insights across product performance, payment behavior, and order fulfillment. This project covers the full analytics workflow — from raw data inspection to cleaned dataset to visualized findings.
Tools: Python · Pandas · Matplotlib · NumPy · Jupyter Notebook · Excel
- Which products are the top sellers by revenue or volume?
- How do customers prefer to pay — and what's the distribution?
- What does the order status breakdown look like across the dataset?
- Where are the data quality issues and how should they be resolved?
Identified the highest-performing products by analyzing sales volume across categories. Bar chart visualization reveals clear leaders in the product mix.
Broke down transactions by payment type to understand customer payment preferences across the dataset.
