I need a single, reliable dataset that shows which products lead our sales every day. The focus is purely on sales figures, narrowed further to daily top-selling products, so there is no need to touch customer information or inventory counts. Here is what I have in mind: starting from our raw transaction logs or any source you find most efficient, extract each day’s highest-performing items and present them with the basic fields a sales team actually uses—date, product name or SKU, units sold, and total revenue. A straightforward Excel workbook (or Google Sheet) with a clean CSV export will work well, but if you prefer SQL or Python for the heavy lifting that is fine as long as the final file is easy for non-technical staff to open and sort. Deliverables should be limited and clear: • A master spreadsheet listing the top-selling products for every calendar day within the period we agree on. • A short note or read-me describing the method you used, so the process can be repeated later without guesswork. I will provide access to the raw sales data as soon as we start, and I am happy to answer structural questions early so the first version already aligns with our reporting habits. If anything is unclear, please flag it before diving in—accuracy matters more than speed for this project.