Question: import numpy as np import pandas as pd from mlxtend.frequent_patterns import apriori, association_rules data['Description'] = data[ 'Description').str.stripo data.dropna(axis = 0, subset =['InvoiceNo'), inplace = True)

import numpy as np import pandas as pd from mlxtend.frequent_patterns import

import numpy as np import pandas as pd from mlxtend.frequent_patterns import apriori, association_rules data['Description'] = data[ 'Description').str.stripo data.dropna(axis = 0, subset =['InvoiceNo'), inplace = True) data['InvoiceNo'] = data['InvoiceNo').astype('str") data = data[~data['InvoiceNo').str.contains('C')] These Python commands can be used in: Select one: a. Preprocessing phase b. Data cube generalization c. Data integration d. Not Listed

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