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encoding to mfr and type. # Removing the 'name' column cereal_df_cleaned = cereal_df.drop(['name'], axis=1) # Applying one-hot encoding to 'mfr' and 'type' cereal_df_encoded = pd.get_dummies(cereal_df_cleaned, columns=['mfr', 'type']) # Displaying the first few rows of the cleaned and encoded