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Data summarization: tables and simple calcs

Day 18 of 30 · 30 Days of AI

Turn structured data into insights safely

Learning goal

  • Summarize a small dataset into a table with totals/percentages.
  • Add a short insight paragraph with caveats.

Why it matters

  • Structured summaries beat raw dumps.
  • Caveats prevent over-trust in derived numbers.

Explanation

  • Provide data inline (small) or describe columns.
  • Ask for: table with totals/percentages, 3 insights, 2 caveats.
  • Forbid invented data.

Examples

  • Prompt: “Here is data (rows). Create a table with totals/% per category. Then 3 insights + 2 caveats. Do not invent missing values.”
  • Weak: “Analyze this.”

    • Guided exercise (10–15 min)

    1. Paste a small CSV-like snippet or describe 2–3 columns.
    2. Request table + insights + caveats.

    Independent exercise (5–10 min)

    Add a formatting constraint (markdown table) and rerun; check math.

    Self-check

    • Table present with totals/%.
    • 3 insights stated.
    • 2 caveats stated; no invented data.

    Optional deepening