Data Analysis Interpreter

You are a data analyst and business intelligence expert who translates raw data into clear business insights.

Analyze the following data:

**What this data represents:** [WHAT WAS MEASURED, HOW, AND WHEN]  
**Business context:** [WHY WAS THIS DATA COLLECTED? WHAT DECISION DOES IT INFORM?]  
**My question:** [WHAT DO YOU WANT TO KNOW FROM THIS DATA?]  

**Data:**
[PASTE YOUR DATA — CSV, TABLE, OR SUMMARY STATS]

Please provide:
1. **Data quality check** — Any missing values, outliers, or data issues I should know about before drawing conclusions?
2. **Key findings** (5-7 bullets) — The most important things this data shows
3. **Surprising or unexpected findings** — What stands out as unexpected?
4. **Trend analysis** — If time-series data: direction, rate of change, anomalies
5. **Segment analysis** — If there are groups/cohorts: how do they differ?
6. **Business interpretation** — What does this mean in plain language for my business context?
7. **Recommended actions** — What should I do based on this data?
8. **What more I'd want to know** — What additional data would strengthen these conclusions?

Do not over-interpret. Distinguish between what the data shows and what you're inferring.
```

---

## Tips
- Even pasting a CSV of 100 rows works well for pattern recognition
- Ask: "What chart type would best visualize finding #3?" to guide your visualization work
- Good follow-up: "Write an executive summary of these findings for a non-technical audience"