November 2017
Beginner to intermediate
204 pages
5h 23m
English
Content preview from Practical Data Wrangling
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Deleting missing values
The simplest way to handle NA values is to delete any entry that contains an NA value, or a certain number of NA values. When removing entries with NA values, there is a trade-off between the correctness of the data and the completeness of the data. Data entries that contain NA values may also contain several useful non-NA values, and and removing too many data entries could reduce the dataset to a point where it is no longer useful.
For this dataset, it is not that important to have all of the years present; even one year is enough to give us a rough idea of how much road length is in the particular region at any point over the 12 years. A safe approach for this particular application would be to remove all of the ...
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