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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