I have a small CSV holding monthly sales for several products and I need it cleaned, explored, and visualised within the next 2-3 days. My main goal is a region-based analysis, specifically by sales territory. The file currently carries no explicit territory column, so you’ll need to create or map one from the information that is available (I can supply any reference tables I have). The workflow I expect looks like this: • Tidy the raw data in Python—handle missing values, remove duplicates, and standardise all headers so they follow a consistent, readable convention. • Add or derive a “Sales Territory” field, making sure every record is correctly assigned. • Produce three to four clear plots (bar, line, and pie charts are fine) in Matplotlib or Seaborn that highlight overall trends, product performance, and territory comparisons. • Summarise the main insights in a brief, well-structured report (PDF or Markdown). Deliverables I’ll check against: 1. The cleaned CSV. 2. A reproducible Jupyter Notebook or .py script showing each step. 3. 3–4 high-resolution visualisations (PNG or embedded in the notebook). 4. The summary report. Keep the code modular and well-commented so I can rerun it on future data drops.