Analyze Historical Product Sales Volume -- 2

I have several years of raw sales records that need to be turned into a clear picture of how each product has actually performed. The priority is straightforward: quantify and visualize the sales volume for every SKU so I can see winners, laggards, and any surprising movers.

You’ll receive the full historical dataset in CSV and Excel format. I’m open to whichever tool you prefer—Python (pandas, matplotlib, seaborn), Excel Power Query, Tableau, Power BI—so long as the results are accurate and easy for non-technical teammates to understand.

Deliverables
• A cleaned, well-documented dataset ready for future analysis
• A concise report or dashboard highlighting sales volume by product, with clear charts and sortable tables
• A brief write-up explaining key findings and how to reproduce or refresh the analysis with new data

I’ll happily answer any structural questions about the data before you begin, and I expect the final hand-off to let me drill down from an executive overview right to individual SKUs in a click or two.