Outlier

Description: An outlier is a data point that differs significantly from other observations in a dataset. These values can result from natural variations in the data or may indicate measurement errors, issues in the data collection process, or unusual events. Outliers are important in data analysis because they can influence the results of statistical models and the interpretation of data. Identifying and properly handling outliers is crucial to ensure the quality and accuracy of analyses. In many cases, outliers can provide valuable insights into underlying phenomena or anomalies in the data, making them a focal point in various disciplines, from statistics to data science and machine learning.

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