dp-100-data-scientist-assoc video for scenario: Iceberg Lounge, Gotham’s premier nightclub and the headquarters of Penguin’s operations, serves as both a
Scenario: Iceberg Lounge, Gotham’s premier nightclub and the headquarters of Penguin’s operations, serves as both a luxurious venue and a front for his underground dealings. As a hired contractor, you are providing IT consulting services to enhance their technological initiatives. Oswald Cobblepot’s IT team is currently working with a Python data frame named salesData , which needs to be unpivoted into a long data format using the pandas.melt() function . Python dataframe named salesData . shop 2020 2021 0 ShopX 34 24 1 ShopY 65 76 2 ShopZ 48 55 Dataframe 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 transformation code but is unsure about the correct parameters to replace the placeholders [A] , [B] , and [C] . import pandas as pd salesData = pd . melt ([ A ], id_vars =‘[ B ]’, value_vars [ C ] Question: Which parameters should the developer use to correctly complete the code segment?