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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Checking for missing values

We can see from the prior summary that we have no missing values; however, we can see that there are quite a few variables with values of zero, which do not make any sense. For example, it is impossible to have a zero reading for blood pressure, but it is OK to have a 0 for the number of months pregnant. So, for most of these variables, we will assume that zero was recorded for NAs and we will map the data accordingly:

  • First, we will copy the data to a new dataframe
  • Then, we will change the zeros to NAs for the five variables listed in the code:
        # we see that there are 0's which are really NA's         #some 0's are really NA's, we will change them in Spark         # keep pregnant = 0  PimaIndians <- PimaIndiansDiabetes  ...
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Publisher Resources

ISBN: 9781785886188Supplemental Content