Data Report Interpreter
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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/MoMcomparison, 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
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