tidsseriesammanhang
Tidsseriesammanhang is a Swedish term that translates to "time series context" or "time series coherence" in English. It refers to the understanding and interpretation of a sequence of data points collected over time, recognizing that each point is influenced by preceding points and may, in turn, influence future points. This concept is fundamental in the analysis of time series data, which is ubiquitous in fields such as economics, finance, climate science, and signal processing.
Understanding the time series context involves identifying patterns, trends, seasonality, and cyclical components within the data.
The goal of analyzing time series context is often to gain insights into the underlying processes generating