In addition to certain jargon associated with time series, there is an important set of statistics related to time series that we will be relying on as we perform forecasting and anomaly detection. These statistics are mainly related to how values in times series are related to other values in the same time series.
The statistics will help us as we profile our data, which is an important part of any time series modeling project, as it is with all of the other types of modeling that we have covered. Gaining intuition about the behavior of your time series over time, seasonality, and trends is crucial for ensuring that you apply appropriate models and perform mental checks of your results.
