seasonal_decompose
Time series decomposition helps analyze patterns in time series data. It breaks down data into : - trend, The general direction in which the data moves for a long period; - seasonal The repeating short-term cycle or pattern - residual The random noise that cannot be attributed to trend or seasonality
Types
Additive Decomposition
The time series is represented as the sum of its components;
Multiplicative Decomposition
The time series is represented as the product of its components;