What Are the Most Effective Methods to Detect and Clean Outliers in Raw Data?
In quantitative academic research, raw empirical datasets rarely arrive in pristine condition. Whether collected via consumer psychometric surveys, laboratory telemetry sensors, clinical patient audits, or digital commerce logs, numerical datasets routinely contain anomalous values known as outliers. An outlier is defined as an observation that deviates so substantially from other observations...
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