I need a solid descriptive analysis of my sales data with one clear objective: uncover how each product is performing. I will share the raw transaction file (CSV) as soon as the project starts. Your job is to explore, clean, and summarize the numbers so I can see which items lead the pack, which lag behind, and how their contribution shifts by volume and revenue. Please work in the tool you know best—Python (pandas, matplotlib or seaborn), Excel with pivot charts, or Power BI are all fine—as long as the final output is easy for a non-technical stakeholder to review. Deliverables should include: • A concise written report (PDF or DOCX) explaining key product performance metrics and take-aways • The working file or notebook with all formulas or code fully commented • A set of clear visualisations (charts or dashboard) that illustrate the findings I’ll call the project complete once I can trace any number in the report back to the dataset and the insights are presented in a way I can copy straight into a slide deck for management.