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Data Report Interpreter

Data Analysis Updated 2026.08.30

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About this skill

Problem

When an engineer receives an Excel report, the friction is often interpretation, not extraction: which growth is real, which variation is anomalous, whether to use a line or bar chart, and whether the conclusion can go into a report. Data Report Interpreter targets this workflow by asking users to paste tabular data or numeric lists, then interpreting only the visible data.

How It Works

  • Core capabilities: trend and pattern identification, anomaly and turning-point labeling, YoY/MoM comparison, chart recommendations, and report-ready analytical conclusions.
  • Key steps: accept pasted data, infer structure, type, and business context; compute basic statistics and flag outliers; recommend line, bar, pie, or scatter charts based on data shape; summarize findings and provide actionable business suggestions.

Boundaries and Caveats

  • No file reading: it cannot open Excel files or file links; users must paste the data.
  • No chart files: it provides chart suggestions, visual intent, and configuration notes, while actual rendering is left to Excel, BI, or other tools.
  • Business context matters: without definitions, source, or metric logic, analysis remains statistical; important conclusions should be validated with context.
  • Not for complex tasks: data collection, database operations, professional modeling, or advanced forecasting should use dedicated tools.

Use Cases

  • After receiving an operations daily report, paste key metrics to evaluate MoM changes and possible anomalies.
  • While preparing a sales weekly sheet, paste regional numbers to generate YoY comparisons and bar-chart suggestions.
  • Before drafting a business report, use pasted inventory data to locate anomalous turning points and missing context.
  • During customer-support data review, identify complaint-volume trends and output business suggestions suitable for a report.

Best For

  • Operations analysts who need to turn pasted daily operational reports into conclusions and chart suggestions
  • Business analysts writing sales retrospectives and checking YoY or MoM anomalies quickly
  • Supply-chain or inventory analysts reviewing report numbers and flagging anomalous turning points
  • Product managers drafting business analyses and needing report-ready data interpretations