Enhance trend analysis with seasonality, stability, and forecast evaluation#182
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thewonderworking wants to merge 5 commits intoDataBytes-Organisation:mainfrom
Open
Enhance trend analysis with seasonality, stability, and forecast evaluation#182thewonderworking wants to merge 5 commits intoDataBytes-Organisation:mainfrom
thewonderworking wants to merge 5 commits intoDataBytes-Organisation:mainfrom
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…ting, and correlation analysis
…ting, and correlation analysis
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This PR extends the existing trend analysis work by incorporating additional analytical components:
Seasonality indices: product-level monthly patterns, exported as CSV and visualised with heatmaps and bar charts.
Stability analysis: rolling STL decomposition with fallbacks (full-series STL and rolling standard deviation) to track how consistent seasonal patterns are over time.
Forecast backtest & leaderboard: benchmarking Seasonal Naive vs ARIMA models using sMAPE and MASE metrics, with results exported to CSV and compared in a leaderboard plot.
All outputs have been structured into Data Analysis/outputs/seasonality/ for reproducibility.