Effective Data Manipulation with pandas/

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Quiz: Missing and Duplicated Data

Quiz: Missing and Duplicated Data

Quiz yourself on missing and duplicated data in pandas series.

We'll cover the following...
Technical Quiz
1.

Look at the given DataFrame ‘df’ below:

    a    b    c    
0   1    NaN  3    
1   4    5    6
2   7    NaN  NaN

How can we get the count of all NaN values in the DataFrame in Pandas?

A.

df.isna().sum()

B.

df.isna().sum().sum()

C.

df.isna().sum(axis = 1)

D.

df.isna().count()

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