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Advanced analytical techniques for identifying patterns and anomalies in your data.

Statistical Analysis Types

Analysis TypeDescriptionExamplesUse Cases / Notes
Distribution InsightsUnderstand how values are spread across a dataset.• Distribution of order values
• Percentile breakdowns
• Revenue concentration (e.g., 80/20 analysis)
Use this to:
• Identify skewed data
• Spot concentration risk
• Understand variability
Correlation AnalysisIdentify relationships between variables.• Customer age vs order value
• Engagement vs retention
• Feature usage vs conversion
Correlation shows relationship, not causation.
Outlier DetectionFind anomalies and unusual behavior.• Transactions far above normal ranges
• Customers with abnormal activity
• Values outside expected thresholds
Supports:
• Percentile-based detection
• Standard deviation thresholds