📊DataClaude Sonnet 4
Data Documentation Generator
Generate clear, complete documentation for a dataset, table, or data model so others can understand and use it.
#Data Documentation#Data Catalog#Data Engineering+2
E
byeditorial000
Prompts for data analysis, SQL, and visualization
10 prompts
Generate clear, complete documentation for a dataset, table, or data model so others can understand and use it.
Interpret statistical output in plain language — what the numbers actually mean and whether your conclusions hold up.
Write a complete brief for a data dashboard — what to show, how to organize it, and what decisions it should drive.
Generate a tailored data cleaning checklist for your dataset — every issue to check before you start analyzing.
Transform a set of data findings into a compelling narrative that drives understanding and action.
Design a statistically sound A/B test — hypothesis, sample size, success metrics, and analysis plan.
Define the right metrics and KPIs for a goal — including how to measure them, what good looks like, and what to avoid tracking.
Get the right chart type and visualization design for your data and the story you need to tell.
Design a structured analysis plan — what to measure, how to measure it, and how to avoid common analytical mistakes.
Write complex SQL queries from a plain English description of what you need — with explanations.