I will give you a single, well-structured CSV/Excel file and would like you to dive into it with the clear purpose of uncovering time-based trends and patterns. I’m interested in seeing how key metrics evolve over days, weeks, months, or any other temporal granularity you find meaningful. Here’s what I need from you: • Clean and prepare the data where necessary (handle missing values, standardise date formats, etc.). • Perform exploratory analysis focused on temporal behaviour—seasonality, spikes, long-term shifts. • Produce concise visuals (line charts, heat maps, rolling averages or similar) that make those trends instantly clear. • Summarise your findings in a brief insight report, highlighting the most significant patterns and any actionable observations. You are free to work in Python (Pandas, NumPy, Matplotlib, Seaborn), R, or a BI tool such as Tableau or Power BI—use whatever will let you produce clear, reproducible results quickly. Please include the cleaned dataset, your code or workbook, and the final report/visuals as separate deliverables so I can review and build on them later. If anything in the file looks ambiguous, flag it early so we can clarify before you go too far down the rabbit hole. Looking forward to seeing what the numbers reveal!