My team will share a set of well-structured CSV files pulled directly from our sales database. The assignment is to explore this data, uncover the most relevant insights, and present them with clear, professional visuals. I work almost exclusively in Python, so please stay within the Pandas, NumPy, Matplotlib (and Seaborn if needed) ecosystem to keep everything reproducible on my end. Deliverables • A fully commented Jupyter notebook (.ipynb) that cleans, merges, and analyzes the data. • A series of visualizations—charts or dashboards—that highlight trends, correlations, and outliers. • A concise written summary (Markdown inside the notebook is fine) translating the findings into plain-language insights and recommended next steps. I will provide the raw files plus a short data dictionary as soon as we finalize scope. The work is complete when the notebook runs end-to-end without errors on Python 3.x, the visuals are easy to read, and the narrative answers the core business questions. Let me know if anything in the data structure needs clarification and we can hop on a quick call.