An analyst working for a large hotel chain has been given a data set of 2,000 customer complaints relating to some of its hotels. The data relates to complaints about different aspects of service at various hotels of the chain. The analyst performed pre-processing on the dataset to obtain the frequency of complaint occurrences as listed in the table below:

Items co-occurring in same customer feedback records	Raw frequency of occurrences
Bad customer service AND Not clean	150
Not clean AND Not friendly	160
No parking AND Bad customer service	250
Bad customer service	235
Not clean	200
Not friendly	300
Not clean AND Not friendly AND No parking	35
No parking	320
Bad transport AND Not friendly	55

1. Given the occurrences in the table, what additional pre-processing (if any) would be required to calculate Lift for the association rule. Explain your answer.