Analysis, SQL, dashboards, metrics and data quality. 20 reviewed prompts for data and analytics.
Reads an attached image, chart, screenshot or scanned document and returns what is visible, extracted values with confidence, an interpretation and open ambiguities. Use it when you need reliable data out of a picture.
Creates a realistic but fictional dataset with a clear schema, controlled quirks and a data dictionary. Use it for demos, training, testing dashboards or practising analysis.
Profiles a pasted or described CSV or spreadsheet for missing values, duplicates, mixed types and outliers, then ranks fixes. Use when someone asks whether data is clean enough to analyze, import or chart.
Builds and explains a spreadsheet formula for your task, with a test example and a simpler alternative. Use it when you know what you need to calculate but not the syntax.
Reads company names from a screenshot or pasted list and returns a tab-separated table of names and ticker symbols you can paste into a spreadsheet, with uncertain rows flagged. Use it to build a watchlist import.
Extracts a table from a screenshot or scanned page into clean CSV text and lists any cells it could not read with confidence. Use when you need data from a picture or PDF page in a spreadsheet.
Checks an A/B test for setup problems, interprets the lift and its uncertainty, reviews guardrail metrics, and gives a clear ship, iterate or stop recommendation. Use when an experiment has finished and someone has to decide.
Pulls the fields you define out of messy text (emails, notes, documents) and returns strict, valid JSON with consistent types and nulls for missing values. Use it to turn unstructured text into rows for a spreadsheet or system.
