Diving Into Time Series Analysis
Trend
Start by identifying the general direction or movement in the data over time.
Seasonality
Next, learn to recognize repeating patterns or cycles at fixed intervals.
Autocorrelation
Then, study how current data points relate to past values to understand dependencies.
Stationarity
Finally, grasp stationarity, ensuring statistical properties remain constant, which is key for many models.