When analyzing financial or accounting data, you’ve likely noticed that many key metrics follow seasonal patterns: think monthly sales spikes, quarterly revenue fluctuations, or annual budgeting cycles. Seasonal decomposition is a powerful statistical method that helps isolate these patterns by breaking down a time series into three core components: the underlying trend, repeating seasonal effects, … Continue reading Python in Excel: How to do time series decomposition