Advanced Correlation Analysis
Understanding relationships between variables
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Generate a comprehensive correlation analysis plan for a dataset containing numerical, categorical, and temporal variables. The target variable is [TARGET_VARIABLE]. Include appropriate methods for each variable type, how to interpret results, and how to handle multicollinearity.
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Pour les variables catégorielles, pensez au V de Cramér ou au coefficient d’incertitude plutôt qu’au khi² seul. Pour les temporelles, intégrez une décomposition saisonnière avant la corrélation croisée. En cas de multicolinéarité, testez des approches comme la régression ridge ou une ACP sur les prédicteurs numériques.
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