Graph a modified boxplot to identify outliers. Values lower than -40 and higher than 120 is an outlier. The outliers will be at the top and end of the sorted data.Įx2. To find the values of the outlier, sort the data. If there are no markers, there is no outliers in the dataset. The outlier will be shown as marker at the lowest or highest end of the boxplot. Select the column of data, click modified boxplot. Outliers are shown as markers in the boxplot. Here is an example of a horizontal box plot with each component of the box plot labeled: Ane example horizontal box plot with each component labeled.\)Ī modified boxplot can be graphed to show outliers without calculating IQR and applying the Q1-1.5IQR, Q3+1.5IQR. Outliers should only be excluded from analysis for a good reason! Outliers can be typos, lies, or real data! Outliers can have a strong effect on certain statistics (like the average) so it’s important that as a data scientist, you recognize outliers and decide if you want to include them in your analysis.
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