Analyze CoSheet data with chat

Analyze this CoSheet. Profile the data shape, column meanings, missing values, duplicate IDs, outliers, inconsistent units, date issues, and suggested next actions.

Suggest formulas for this CoSheet. Focus on status, days open, percent difference from target, pass/fail logic, and missing required fields. Show formulas before applying them.

Apply the Status formula to the Status column after showing me the first three expected results.

Suggest pivot tables for this CoSheet. Include source range, rows, columns, values, filters, aggregation, and the question each pivot answers.

Suggest charts for this CoSheet. Include chart type, data range, title, axis labels, and what the chart should help reviewers see.

Create the recommended line chart using the campaign trend range. Include clear title, axis labels, and data labels only if they remain readable.

Review this CoSheet for data quality issues. Return a table with issue type, affected rows or columns, example value, likely impact, and recommended fix.

Analyze this CAPA effectiveness CoSheet. Compare baseline and post-implementation metrics, flag rows with insufficient observation window, and list conclusions that need SME review.

Analyze this batch record findings tracker. Group findings by section, identify recurring issue types, and suggest a chart for QA review.

Analyze this risk assessment table. Check severity, occurrence, detectability, rationale, and recommended actions for inconsistencies.

Create a Summary tab with data quality findings, key trends, outliers, recommended pivots, recommended charts, and open reviewer questions.

Turn this CoSheet analysis into a CoDraft section. Include data source, method, key findings, limitations, assumptions, and open SME questions.

Review this CoSheet before export. List formula risks, stale pivot tables, unclear chart labels, missing units, hidden assumptions, and rows needing human review.

Export this CoSheet to Excel after I approve the review checklist.