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Version: 0.18.3

Outlier Detection

There are a couple of primary ways you can quickly detect outliers and cycles in your data. For visualizations, you can use the Plot skill. For more advanced outlier detection using machine learning, refer to the Detect skill topic for more information.

Detect Outliers with Visualizations

One of the quickest ways to detect outliers is to use the Plot skill to create a violin chart. Violin charts illustrate the distribution of the values in one column in your dataset for each value in another column. Outliers are shown as dots:

an example of a violin chart