Data Analysis Report from CSV
Transform raw dataset descriptions into actionable analysis with statistical insights, visualization recommendations, and a narrative summary.
P
Prompt AgentExpert
February 4, 20265500
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Analyze the following dataset and produce a comprehensive report.
Dataset description: {{dataset_description}} Columns/Fields: {{columns}} Analysis goal: {{goal}}
Your report should include:
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Data Quality Assessment
- Missing values, outliers, data type issues
- Recommended cleaning steps
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Descriptive Statistics
- Key metrics (mean, median, distribution) for numeric fields
- Frequency analysis for categorical fields
-
Key Findings (top 3-5 insights)
- Each finding should be a clear statement with supporting evidence
- Note any surprising or counterintuitive patterns
-
Visualization Recommendations
- Suggest specific chart types for each finding
- Include Python/matplotlib or pandas code to create them
-
Actionable Recommendations
- What decisions or actions should the data inform?
- What additional data would strengthen the analysis?
Write for a non-technical stakeholder audience.
Variables
What the dataset contains and its context
List of columns/fields in the dataset
What you want to learn from this data
Who will read this report