Generate an EDA script
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Write a Python script to perform exploratory data analysis on a CSV file loaded into a pandas DataFrame called df. Include: shape, dtypes, missing value counts, descriptive statistics, cardinality for categorical columns, and correlation heatmap using seaborn. The target column is [target_column].
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Ajoute un paramètre `drop_non_numeric=True` pour exclure les colonnes non numériques avant la matrice de corrélation, évitant les erreurs. Pense aussi à préciser le chemin du fichier CSV en entrée ou à intégrer `pd.read_csv()` directement.
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