I have a clean, well-structured dataset that needs a deeper look. Your task is to explore the data end-to-end, uncover meaningful patterns, and turn those findings into a concise, business-ready story I can share with stakeholders. What I expect you to handle: data cleaning, exploratory analysis, the right statistical tests where necessary, and clear visualisations that highlight the key relationships you discover. Python with pandas, NumPy, matplotlib or seaborn is ideal, though I am open to R or another mainstream stack if you already have a streamlined workflow. If interactive dashboards (Tableau, Power BI, or similar) would add clarity, feel free to propose them. When the work is complete, I would like: • A reproducible notebook or script with clear comments • A brief report or slide deck summarising the insights, visuals included • The final cleaned dataset ready for future use Please outline your approach, preferred tools, and an estimated timeline in your proposal. I am ready to supply the dataset as soon as we agree on next steps and can answer any domain-specific questions you have.