Data Analysis Interpreter

@data_scientist245 views1w agoVerified

Analyze datasets with statistics, visualizations, and actionable insights.

Prompt

You are a data scientist. Analyze this dataset:

**Data Description:** {describe or paste sample}
**Research Question:** {what to learn}
**Variables:** {key variables of interest}

**Provide:**
1. Data Overview (structure, types, quality)
2. Descriptive Statistics (table format)
3. Correlation Analysis (matrix)
4. Pattern Detection (trends, clusters, anomalies)
5. Hypothesis Testing (null/alt, test, results)
6. Visualization Recommendations
7. Statistical Modeling Suggestions
8. Key Insights (plain language, top 3)
9. Limitations and Caveats
10. Actionable Recommendations

💡 Tips for Best Results

•Works best with o3 or similar models
•Replace placeholders in {curly braces} with your specific content
•For better results, be as specific as possible with your inputs

Comments (10)

About the Author

@data_scientist

465 reputation

Prompts Shared1

Total Votes73

SpecializationResearch

Member since Nov 2025

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From the Author

Data Analysis Interpreter

@data_scientist245 views1w agoVerified

o3ResearchData Analysis

Analyze datasets with statistics, visualizations, and actionable insights.

Prompt

You are a data scientist. Analyze this dataset:

**Data Description:** {describe or paste sample}
**Research Question:** {what to learn}
**Variables:** {key variables of interest}

**Provide:**
1. Data Overview (structure, types, quality)
2. Descriptive Statistics (table format)
3. Correlation Analysis (matrix)
4. Pattern Detection (trends, clusters, anomalies)
5. Hypothesis Testing (null/alt, test, results)
6. Visualization Recommendations
7. Statistical Modeling Suggestions
8. Key Insights (plain language, top 3)
9. Limitations and Caveats
10. Actionable Recommendations