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Outliers Detection
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Sam McKay

CEO & Founder

Outliers Detection
Find outliers in your data, using the most appropriate method and plot

An outlier is an observation, such as a data point, that exists a significant distance from most other observations.

Outliers sometimes occur due to measurement errors. Other times, outliers can be indicators of important occurrences or events.

One such example is fraud detection, where outliers may indicate fraudulent activity.

As such, outlier detection and analysis is an interesting and challenging data mining task.


When this add-in is used, it:
Can read and make changes to your document
Can send data over the Internet