Seasonality is a data pattern that repeats itself after a period of weeks, days, months, or quarters.
The progressive upward or downward movement of the data over time is referred to as a trend. Trend movement may be explained by shifts in income, population, age distribution, or cultural perspectives.
Data patterns called cycles appear every few years. They play a significant role in short-term company analysis and planning and are typically linked to the business cycle. Because they might be influenced by worldwide unrest or political events, business cycles are challenging to predict.
Data "blips" are caused by chance and uncommon circumstances and are known as random fluctuations. They exhibit no clear pattern, making prediction impossible.
Seasonality is a recurring trend in data that occurs every few days, weeks, months, or quarters. Six typical seasonality patterns exist.
Hence, the correct option is (d) seasonality.
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