Define a function that takes in a dictionary as a parameter and converts it into a DataFrame. The function should return those rows where the 'score' column's value is missing(i.e. NaN).
Example:
Input:
exam_data = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
'score': [12.5, 9, 16.5, np.nan, 9, 20, 14.5, np.nan, 8, 19],
'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']}
Output:
attempts name qualify score
3 3 James no NaN
7 1 Laura no NaN
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