Question: Question 1) Using the following data structure below, create a dataframe by adding data types and column names. Colum names and the corresponding data types

Question 1) Using the following data structure below, create a dataframe by adding data types and column names. Colum names and the corresponding data types are:

Column	Data Type
Id	INT
First	STRING
Last	STRING
Url	STRING
Published	STRING
Hits	INT
Campaigns	ARRAY[STRING]

Print the schema of your DataFrame. Explain what is the main advantage of adding data types while creating DataFrames.

data = [ [1, "Jules", "Damji", "https://tinyurl.1", "1/4/2016", 4535, ["twitter", "LinkedIn"]], [2, "Brooke","Wenig", "https://tinyurl.2", "5/5/2018", 8908, ["twitter", "LinkedIn"]], [3, "Denny", "Lee", "https://tinyurl.3", "6/7/2019", 7659, ["web", "twitter", "FB", "LinkedIn"]], [4, "Tathagata", "Das", "https://tinyurl.4", "5/12/2018", 10568, ["twitter", "FB"]], [5, "Matei","Zaharia", "https://tinyurl.5", "5/14/2014", 40578, ["web", "twitter", "FB", "LinkedIn"]], [6, "Reynold", "Xin", "https://tinyurl.6", "3/2/2015", 25568, ["twitter", "LinkedIn"]], ]

Question 2) Add a new column to the DataFrame created in question four with the following specs:

Column name is Big Hitters

Values will be True or False. True if the column Hits bigger than 10000, else False

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