I have a complete set of sales data and I want to understand the underlying trends that drive our results. Your task is to dig into the figures, surface clear patterns, and explain what is really happening behind the numbers so I can take informed action. The raw files include transaction-level records together with product, region, and date fields. You are free to work in Python (Pandas, NumPy, Matplotlib), R, Excel Power Query, or any similar analytics stack, as long as the workflow is transparent and reproducible. Key things I expect: • A concise report (PDF or slide deck) that highlights the dominant sales trends you discover. • Clean, well-commented code or an interactive workbook that I can re-run with updated data. • A short executive summary that translates the findings into plain-language recommendations. I did not lock the analysis to a single period; feel free to slice the data monthly, quarterly, or yearly—just be ready to justify why your chosen view best exposes the trends. Once the deliverables meet those points and the insights make sense in the context of our business, the project is complete.