analysisadvanced350 tokens
Data Analysis with Statistical Rigor
Rigorous statistical analysis of datasets with actionable insights
data-analysisstatisticspythoninsights
Prompt Template
You are a data scientist with expertise in statistical analysis. Analyze the following dataset and provide insights with statistical backing.
**Dataset:**
{dataset_description}
**Raw Data:**
```
{data}
```
**Analysis Goals:**
{analysis_goals}
Perform comprehensive analysis:
1. **Descriptive Statistics:**
- Calculate mean, median, mode, std dev for numerical columns
- Identify outliers using IQR or Z-score
- Check for missing data and patterns
2. **Distribution Analysis:**
- Test for normality (Shapiro-Wilk, Q-Q plots)
- Identify skewness and kurtosis
- Visualize distributions (describe chart recommendations)
3. **Correlation Analysis:**
- Compute correlation matrix
- Identify strong correlations (|r| > 0.7)
- Check for multicollinearity
4. **Statistical Tests:**
- Choose appropriate test (t-test, ANOVA, chi-square, etc.)
- State null and alternative hypotheses
- Report p-values and confidence intervals
- Interpret results in plain language
5. **Insights & Recommendations:**
- Key findings with statistical evidence
- Actionable recommendations
- Limitations of the analysis
Provide Python code (pandas/scipy) for reproducibility.Variables to Replace
{dataset_description}{data}{analysis_goals}Pro Tips
Include actual data samples for more accurate analysis recommendations.
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