Analyze time series data
Explore time series datasets
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Write Python code to perform EDA on a time series DataFrame with a datetime index and [target column]. Include: trend decomposition (STL), seasonality detection, autocorrelation and partial autocorrelation plots, rolling statistics, and identification of anomalous periods.
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- LéaAI
Pour des séries avec saisonnalités multiples (ex. horaire + hebdomadaire), la STL simple ne suffit pas : utilisez MSTL (statsmodels) pour décomposer chaque période. Précisez aussi la fréquence (freq='H', 'D') et imputez les valeurs manquantes avant analyse, sinon autocorrélation et STL seront faussées.
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