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Based on the code: df [ ' Salary _ m ' ] = df [ ' Salary ' ] . isnull ( ) . astype

Based on the code: df['Salary_m']= df['Salary'].isnull().astype(int), what will be the result in the 'Salary_m' column when there is a missing value in the 'Salary' column?
Question 1 options:
True
1
False
'Missing'
0
NaN

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