Explain seasonality ?
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Answers ( 3 )
Seasonality is a pattern which you will encounter in your time series data at specific intervals
over and over again. For example, if you plot the ‘amount of crackers burst’ against all the weeks
in a year, you will come to know that it shows spikes during the festive seasons and you will find this
pattern every year.
Time series data may contain seasonal variation.
Seasonal variation, or seasonality, are cycles that repeat regularly over time.
A repeating pattern within each year is known as seasonal variation, although the term is applied more generally to repeating patterns within any fixed period.
A seasonal pattern exists when a series is influenced by seasonal factors (e.g., the quarter of the year, the month, or day of the week). Seasonality is always of a fixed and known period. Hence, seasonal time series are sometimes called periodic time series.