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Sanity-check a dataset in 30 minutes before you build anything on top of it

Data Data Quality Intermediate 🤖 ChatGPT 👁 1 views

📝 The Prompt

I just got handed a dataset I'm going to use for [analysis / model / dashboard]. Source: [where it came from]. Schema: [paste columns + types]. Give me a 30-minute sanity-check workflow before I touch the real question: (1) row count and one-row-per-what — is the grain what I think it is? (2) per column: nulls %, distincts, min/max, sample of weird values, (3) time coverage — first and last date, gaps, weekends/holidays, (4) duplicates on what I assume is the primary key, (5) joins against a reference table (e.g., do all user_ids in this file exist in the users table?). For each check, tell me what a 'this dataset is fine' vs. 'this dataset is broken' result looks like.

⚙️ Replace 3 placeholders: [analysis / model / dashboard] [where it came from] [paste columns + types]

🎯 What this prompt does

This AI prompt helps you sanity-check a dataset in 30 minutes before you build anything on top of it. Designed for data quality workflows in the data category, it's a intermediate-level prompt you can copy directly into ChatGPT to get instant, production-ready results.

Use it when you need a intermediate prompt that produces clear, actionable output without wrestling with trial-and-error wording. Just copy, customize, and run.

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🚀 How to use this prompt

  1. Copy the prompt using the 📋 button above.
  2. Open ChatGPT (or Claude, Gemini, Perplexity, or your preferred LLM).
  3. Paste the prompt into a new chat. Replace 3 bracketed placeholders ([analysis / model / dashboard] [where it came from] [paste columns + types] ) with your own details.
  4. Run the prompt and review the AI's response. Most outputs are usable immediately.
  5. Iterate if needed — if the tone, length, or structure isn't quite right, reply with "make it shorter", "use bullet points", or "make it more formal" and the AI will refine it.

💡 Tips for better results

  • Replace the bracketed placeholders ([analysis / model / dashboard], [where it came from], [paste columns + types]) with your own specifics before sending.
  • If the first output isn't quite right, ask the AI to refine, rewrite, or add more detail — iteration is key.
  • For long outputs, ask for a section at a time (e.g. 'start with the introduction only') to keep quality high.
  • Combine this with other data prompts to build an end-to-end workflow.
  • Save your favorite variations — small wording tweaks often produce noticeably different results.
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✨ What you'll get

When you run this prompt, expect ChatGPT to return:

  • A directly usable data quality output tailored to the details you provided
  • Clear structure (headings, bullets, or numbered sections) that you can drop into your workflow
  • Content that matches your specified tone and context
  • Results in under 30 seconds — no manual drafting required

Need a different angle? Just ask follow-up questions. The AI will adjust without you starting over.

🔄 3 variations to try

1

Make it more formal

Add "Use a formal, professional tone suitable for enterprise clients" at the start of the prompt.

2

Ask for multiple options

Append "Give me 5 alternative versions, each with a different angle or approach." after the main instruction.

3

Request structured output

Add "Return the response as a markdown table (or bullet list, or JSON)" so you can paste the result directly into your docs or code.

🏷 Tags

🔎 Find more prompts like this

Browse 188 more data prompts or search the full library.

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