Description: The term ‘yearly’ refers to data or metrics that are collected or analyzed on a yearly basis. This concept is fundamental in the field of time series, where the aim is to understand patterns, trends, and behaviors over a one-year period. Yearly data allows analysts to observe seasonal variations, make year-on-year comparisons, and assess the performance of different variables in a temporal context. The yearly periodicity is particularly useful in fields such as economics, climatology, and demography, where phenomena tend to manifest cyclically or based on annual cycles. Furthermore, the collection of yearly data facilitates the preparation of reports and strategic decision-making, as it provides a clearer and consolidated view of the evolution of variables over time. In summary, yearly analysis is a key tool for interpreting data across various disciplines, enabling researchers and professionals to gain valuable insights into the behavior of variables over the course of a year.
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