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Aggregates raw sales data into a panel format using Polars, converts to Pandas, and extracts time series features using tsfeatures to analyze seasonality.
Extracts seasonality features (specifically STL features) from a panel time series dataset to determine the optimal season length for forecasting models. Handles conversion from Polars to Pandas and ensures correct data formatting.
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