please try this:
import seaborn as sns
# Load the dataset
df = sns.load_dataset("tips")
# Filter the dataframe for 'Dinner' time
df_dinner = df[df['time'] == 'Dinner']
# Perform aggregation on the filtered dataframe
result = df_dinner.agg({'total_bill': ['sum', 'min', 'max', 'mean']})
# Display the result
print(result)
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