--- title: "AI for Spreadsheets: From Export to Checked Report" description: "Use AI to inspect CSV and spreadsheet data, define cleaning rules, trace exceptions and produce charts and reports with reproducible calculations." author: Power of AI date: 2026-09-06 url: https://powerofai.ca/workflows/spreadsheets-and-data --- # AI for spreadsheets and data: from a messy export to a checked report Use AI to inspect CSV and spreadsheet data, define cleaning rules, trace exceptions and produce charts and reports with reproducible calculations. The chart gets the attention. The definitions do the work. A spreadsheet can contain several meanings in the same column: empty, zero, unknown and not applicable. A useful AI-assisted analysis starts by sorting out those meanings. Otherwise the fastest route to a polished chart is also the fastest route to a misleading one. ## Write the question before choosing a chart “Analyze this” invites a tour of whatever patterns are easy to describe. A decision question creates focus. For a community program, you might ask which sessions have repeated capacity problems. Define attendance, capacity, cancellations and the period of interest before comparing them. Ask for a schema summary and an inventory of missing values. Which columns identify an event? Can an event appear in more than one row? Are totals already included? Does one file contain a different period than another? Resolve these before aggregation. ## Keep cleaning rules beside the data Cleaning is a set of decisions. Trimming accidental whitespace may be harmless for a category but wrong for an exact identifier. Treating a blank count as zero changes an average. Deduplicating on a person’s name can collapse distinct people. Ask for the proposed rule, its reason and the number of affected rows. Preserve raw inputs and create a cleaned copy plus an exceptions table. Include original row identifiers. If the assistant cannot decide how to treat a record, keep it in the exceptions rather than silently excluding it. This makes the analysis easier to challenge and rerun. ### A request you can adapt Inspect this approved export before calculating. Describe each field, missing values, duplicate candidates and inconsistent types. Propose cleaning rules with affected-row counts. Preserve raw data and source row IDs. After I resolve the ambiguous rules, create a cleaned copy, exceptions report and reproducible calculation. ## Reconcile the numbers in small steps Check the number of rows admitted to the analysis, the number excluded and the reasons. Recalculate a small group manually. Compare a total with the original source. If you filter the data, show both the filtered and original counts so the audience can see what changed. For percentages, show the denominator. Twelve cancellations out of twenty sessions is different from twelve cancellations out of two hundred registrations. Label units and periods directly on the chart. If a change is driven by missing records, describe the missingness instead of turning it into a story about performance. ## Create a report another person can audit A good report includes the question, source period, definitions, calculation method, findings and limitations. Put the working table or script beside it. Use captions that state what the chart displays without inventing a cause. “Attendance fell in this file” is an observation; “people lost interest” needs more evidence. If this is recurring, rerun the method on another export before scheduling it. Test a file with a renamed column or no rows. The report should explain the missing input and retain the last known successful period, rather than displaying old data under a new date. [Inspect a synthetic CSV in your browser](/showcase) ## Take this into your next task Preserve raw data, define the rules, reconcile the counts and keep the calculation available beside the conclusion. [Build a project brief](/showcase#brief-builder). ## Questions people ask ### Can I ask AI to find insights without a question? Yes, as exploration. Treat the findings as candidates to investigate, then define a question and verify the data and calculation before presenting a conclusion. ## Sources and editorial notes Reviewed September 6, 2026. Product capabilities depend on the app, plan, region and workspace settings. Workflows and prompts are authored teaching material, not recorded model results or measured time-saving claims. ## Keep going - [Build Your First Tool with Codex: A CSV Checker](/codex/build-your-first-tool) - [Codex Skills and Repeatable Workflows](/codex/skills-and-repeatable-work) - [Continue the guide](/lab/workflow-planner)