I will give you a clean CSV containing all transactions made during the last month. Your primary task is to dissect our sales volume: show me the day-to-day trend, highlight the best-selling products, and point out any dips or anomalies that suggest lost opportunity or operational issues. If you notice patterns around revenue or customer count while you work, feel free to flag them—extra context is always welcome. Please turn the raw data into: • A concise slide or PDF summary that tells the story in plain language. • Clear visualizations (bar/line charts, heat maps, etc.) that I can drop straight into management reports. • A short, actionable list of improvement ideas backed by the numbers. You may use Python (pandas, matplotlib, seaborn), Excel, Power BI, or another mainstream analytics tool—whatever lets you work fastest and document your steps for repeatability. Include your cleaned or transformed dataset and any code/notebooks you write so I can rerun the analysis later. Acceptance criteria: 1. All findings align with the supplied CSV and focus on last-month data only. 2. Visuals are labeled, easy to read, and exportable. 3. Recommendations tie directly to the insights you present. I’m ready to start as soon as you are; let me know the turnaround time you need.