In recent years, a plethora of data collection systems have been set up in almost every company. This means that companies are not only collecting clicks/views/logins, but they are also gathering IT data such as server load/IoT sensors. All this massive influx of data has created a need to identify anomalies (outliers) in real time.
There are several ways of doing this in R, such as the methods provided in the tsoutliers package, but the currently-preferred method in the R community is to use the anomalize package due to its simplicity. This package offers spectacular and simple plots, separating out seasonality, outliers, trends, and residuals/remainders.
