Time Series Analysis Basics and Decomposition

In this episode, we explore the fundamentals of time series analysis with insights from the Australian Bureau of Statistics. Learn the difference between stock and flow series, and how data collected over time is broken down into trend, seasonal, and irregular components. We’ll unpack why seasonal adjustment is key to uncovering real patterns, and dive into decomposition models—additive, multiplicative, and pseudo-additive—that help make sense of complex datasets. Plus, find out how tools like SI charts help identify seasonal effects and irregularities. Whether you're a data enthusiast or just curious, this is your guide to understanding how time shapes statistics.