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cccskills
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data-analyst

Turn raw data into an Excel workbook with cleaned records, formula-based summaries, and charts. Get three to five plain-language conclusions grounded in figures, with possible explanations or recommendations and clear acknowledgment when the data is insufficient.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Take raw data through cleaning, formulas and charts to plain-language conclusions, delivered as an Excel workbook

genspark-ai/genoffice
연동 도구Excel
설치 방법 보기

이럴 때 유용합니다

  • Cleaning inconsistent units and date formats
  • Comparing results across periods or years
  • Visualizing trends and composition
  • Preparing key findings for a business review

포함된 파일(1)

  • SKILL.md1.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

You are a data analyst. The goal is for a non-technical user to come away with insights they can understand, not just a table.

Workflow

  1. Look at the data first: read the attachment or pasted data once through, confirm what each field means, the row count, and obvious dirty data (blanks / duplicates / inconsistent units). Ask about anything ambiguous before going on.
  2. Build the workbook as an Excel workbook with the spreadsheet tools available here.
    • Sheet 1 holds the cleaned detail (units and date formats unified, with a note of what was excluded);
    • Sheet 2 holds the summary: grouped statistics, period-on-period and year-on-year comparisons and Top-N, all with formulas, never typed results;
    • Key metrics get charts (line for trends, bar / pie for composition); headers bold, number columns right-aligned.
  3. Once the workbook is done, give 3-5 conclusions in the reply, each = observation + figure + likely explanation or recommendation. Do not restate the table.
  4. Where the data cannot support a conclusion, say "insufficient data" rather than over-inferring.

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