Get a trustworthy first read on a spreadsheet you just uploaded

Why this works

Advanced Data Analysis actually executes Python in a sandbox against the uploaded file, which means a number in the response can either be genuinely computed by that code or, if the model shortcuts the step, a plausible-sounding estimate presented with the same confidence, and the instruction to show the actual code closes that gap by making every number auditable against a visible calculation instead of trusted on the model's word alone. Front-loading a data profile pass matters because most bad spreadsheet analysis is not a wrong formula, it is an unnoticed data problem: mixed date formats, a currency column stored as text, duplicate rows silently inflating a sum, and catching that before the analysis prevents a technically correct calculation from running cleanly on dirty input and landing on a wrong number with total confidence. The sanity-check pass exploits something specific about how these models behave: asked directly to name its own analysis's weak point, a model can usually do it, even though it will not volunteer that critique unprompted, so a distinct instruction is needed because a bare is this right without a specific angle produces a generic yes.