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Scenario: Iceberg Lounge, Gotham’s premier nightclub, is run by Oswald Cobblepot (Penguin). While serving as a legitimate business, it also acts as a cover for his operations. Project Details: You have been hired as a contractor to consult on various IT functions, where Oswald Cobblepot has incorporated Microsoft Azure into his solutions. The current project involves working with a Python dataframe named salesData . shop 2020 2021 0 ShopX 34 24 1 ShopY 65 76 2 ShopZ 48 55 The dataframe needs to be unpivoted to a long data format using the pandas.melt() function. shop year value 0 ShopX 2020 24 1 ShopY 2020 65 2 ShopZ 2020 48 3 ShopX 2020 25 4 ShopY 2021 76 5 ShopZ 2021 55 The developer has drafted the code but is unsure about the correct value to replace the placeholder [?] . import pandas as pd salesData = pd . melt ( salesData , id_vars =‘[?]’, value_vars [‘ 2020 ’,’ 2021 ’] Question: Which value should the developer use to complete the code segment correctly?