Data distribution refers to the way in which data points are spread or arranged across different values in a dataset. It provides insights into the characteristics of the data, including its central tendency, variability, and the presence of outliers. Understanding data distribution is crucial for analyzing and interpreting data accurately, especially when detecting and handling outliers, as it helps in identifying which values deviate significantly from the overall trend.
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