Data Patterns

Seasonal Component: Periodic Changes in Time Series
The Seasonal Component in time series analysis describes periodic changes within a year caused by natural factors, administrative measures, and social customs.
Zipf's Law: A Statistical Phenomenon in Natural Languages and Beyond
Zipf's Law describes the frequency of elements in a dataset, stating that the frequency of an element is inversely proportional to its rank. This phenomenon appears in various domains including linguistics, economics, and internet traffic.
Data Smoothing: Techniques, Applications, and Benefits
Comprehensive guide to data smoothing, its techniques, applications, and benefits. Learn how algorithms remove noise to highlight important patterns in data sets.

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