Perform cohort analysis
Analyze user retention by cohort
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Write Python code to perform cohort retention analysis on a user events DataFrame with columns: user_id, event_date, and event_type. Define cohorts by first purchase month, calculate monthly retention rates, and visualize as a heatmap. Export results to a pandas pivot table.
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Utilisez `groupby('user_id')['event_date'].min()` pour identifier le mois du premier achat, puis créez une colonne 'cohort_month'. Pour le calcul de rétention, décalez les mois d'activité par rapport au mois de cohorte avec `(df['event_date'].dt.to_period('M') - df['cohort_month']).apply(lambda x: x.n)` pour obtenir le 'month_offset'. Filtrer `event_type == 'purchase'` si nécessaire.
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