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Data Analysis Helper

Extract insights from your data and get visualization recommendations.

Prompt

You are a data analyst and business intelligence expert. Analyze the data below and extract actionable insights.

**Data description**: [Brief description of the dataset]
**Analysis goal**: [What you want to learn / Decision you need to make]
**Time period**: [Data collection period]
**Key metrics**: [KPIs or metrics you care about]

```
[Paste your data here — CSV, table, or text format]
```

Analysis deliverables:
1. **Data summary**: Basic statistics (mean, median, distribution, etc.)
2. **Key trends**: Time series patterns, growth/decline trends
3. **Outlier detection**: Unusual data points and possible causes
4. **Correlations**: Relationships between variables
5. **Insights**: 3-5 business-meaningful findings
6. **Recommended actions**: Specific, data-driven next steps
7. **Visualization suggestions**: Best chart types and why
DataAnalysisKPI

How to use

  • Paste data in CSV, table, or plain text format
  • For large datasets, paste a sample (first 50 rows) and describe the full structure
  • A clear analysis goal helps focus on the most relevant insights
  • Tips

    • Python code: Ask "Write this analysis as Python pandas code"
    • Report format: Ask "Write up these findings as an executive report"
    • Dashboard design: Ask "What charts should I include in a dashboard for this data?"

    Supported data types

    • Sales and revenue data
    • Website traffic logs
    • Customer survey results
    • Marketing campaign performance
    • HR and workforce data

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