Examples for Distribution Analyzer

Analyzing a customer dataset with age, income, and spending score columns. Demonstrates basic distribution analysis with symmetric distributions and appropriate standardization recommendations for variables with heavy tails.

Analyzing sensor readings with 6000 observations to trigger Kolmogorov-Smirnov test instead of Shapiro-Wilk. Demonstrates correct test selection for large samples, handling of zero-inflated error counts, and identification of normally distributed sensor measurements alongside skewed operational metrics.

Analyzing sales metrics including revenue, units sold, profit margin, and discount rate. Demonstrates handling of mixed distribution types - right-skewed revenue requiring log transformation, normally distributed profit margins, and moderate skew requiring square root transformation.