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Missing Values missing_values = data.isnull().sum() There are no missing values in the columns, except in the ‘Level’ column, which has 63 missing values. # Filling missing values in the 'Level' column with the category 'Other' data['Level'].fillna('Other', inplace=True) # Checking if the missing