Prompt

# 6-Step Data Analysis Chain

## Step 1: Data Assessment & Preparation
**Input:** Raw dataset or data requirements
**Task:** Assess data quality and prepare for analysis
**Output:** Clean, validated dataset

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**Instructions for Step 1:**
For dataset: {data_description}

Perform:
- Data quality assessment
- Missing value analysis
- Outlier detection
- Data cleaning and validation
- Variable transformation if needed

Document data limitations and assumptions.

**Pass to Step 2:** Prepared dataset + data dictionary

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## Step 2: Exploratory Data Analysis
**Input:** Prepared dataset from Step 1
**Task:** Explore data patterns and relationships
**Output:** Initial insights and patterns

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**Instructions for Step 2:**
Conduct exploratory analysis:
- Descriptive statistics for all variables
- Distribution analysis and visualization
- Correlation analysis
- Initial pattern identification
- Hypothesis generation

**Pass to Step 3:** EDA insights + visualizations

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## Step 3: Hypothesis Testing & Statistical Analysis
**Input:** EDA insights from Step 2
**Task:** Test hypotheses using appropriate statistical methods
**Output:** Statistical test results and significance

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**Instructions for Step 3:**
Perform statistical analysis:
- Formulate testable hypotheses
- Select appropriate statistical tests
- Execute analysis with confidence intervals
- Interpret statistical significance
- Consider practical significance

**Pass to Step 4:** Statistical results + interpretations

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## Step 4: Advanced Analytics & Modeling
**Input:** Statistical results from Step 3
**Task:** Apply advanced analytical techniques
**Output:** Predictive models or advanced insights

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**Instructions for Step 4:**
Apply advanced techniques:
- Predictive modeling (if appropriate)
- Segmentation analysis
- Time series analysis
- Machine learning approaches
- Model validation and testing

**Pass to Step 5:** Advanced analytics results

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## Step 5: Insight Synthesis & Interpretation
**Input:** All analytical results from previous steps
**Task:** Synthesize findings into actionable insights
**Output:** Key insights and business implications

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**Instructions for Step 5:**
Synthesize findings:
- Key patterns and relationships
- Significant findings and their meaning
- Business implications
- Limitations and caveats
- Actionable insights

**Pass to Step 6:** Synthesized insights

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## Step 6: Reporting & Recommendation Development
**Input:** Synthesized insights from Step 5
**Task:** Create comprehensive analysis report
**Output:** Final analysis report with recommendations

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**Instructions for Step 6:**
Create report including:
- Executive summary of key findings
- Methodology and approach
- Detailed results and visualizations
- Insights and implications
- Actionable recommendations
- Next steps and monitoring plan

**Final Output:** Complete data analysis report with actionable recommendations