Outlier identification is the process of detecting data points that differ significantly from the majority of a dataset. These unusual observations can skew results and mislead analysis, making their detection crucial for accurate data interpretation. Identifying outliers helps in understanding patterns, trends, and anomalies within data, allowing for more informed decision-making based on the true nature of the dataset.
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