Run the following cell and interpret the output: I # determine which columns have missing data df.isna().any() 7]: competitorname False chocolate False fruity False caramel False peanutyalmondy nougat crispedricewafer False False False hard False bar False pluribus False False sugarpercent pricepercent winpercent dtype: bool False False Q3e: isna() How many variables have missing data in this dataset? Store the value in the variable var_missing : I # YOUR CODE HERE var_missing df.isna().sum( ) %3D I assert isinstance(var_missing, (np.int64, int)) AssertionError Traceback (most recent call last) in ----> 1 assert isinstance(var_missing, (np.int64, int)) AssertionError:

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A: The anwer is

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A: I have answered this question in step 2.

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Structured English

Structured English uses a simple English language to make structured programming easier for non-professionals. The program is divided into various parts that are known as logical statements. These statements are written in a simple English language.