How are outliers indicated in box plots?

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How are outliers indicated in box plots?

In box plots, outliers are specifically indicated as points that lie outside the "whiskers" of the plot. The whiskers represent the range of the data within a certain distance from the quartiles. Typically, the whiskers extend to the smallest and largest values within 1.5 times the interquartile range (IQR) above the upper quartile and below the lower quartile. Any data points that fall outside this range are classified as outliers and are typically represented as individual points on the plot. This visual distinction helps quickly identify values that may significantly deviate from the overall distribution, drawing attention to potential anomalies or unique observations within the dataset.

In box plots, outliers are specifically indicated as points that lie outside the "whiskers" of the plot. The whiskers represent the range of the data within a certain distance from the quartiles. Typically, the whiskers extend to the smallest and largest values within 1.5 times the interquartile range (IQR) above the upper quartile and below the lower quartile. Any data points that fall outside this range are classified as outliers and are typically represented as individual points on the plot. This visual distinction helps quickly identify values that may significantly deviate from the overall distribution, drawing attention to potential anomalies or unique observations within the dataset.

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