Anomaly Detection in Time Series using R

Currently, a lot of processes cause information that can be gathered as time series. Predict anomalies in the observations also is crucial for determining changes in business patterns and decision making. Identifying those events in time series is usually complicated, so package like anomalize in R brings effective solutions for identifying outliers observations. In this exercise, we use this package for detecting anomalies in the price of Tesla shares from January 2019 to March 2020.