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tidy.Rmd
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tidy.Rmd
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@ -354,7 +354,7 @@ There are two missing values in this dataset:
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* The return for the first quarter of 2016 is implicitly missing, because it
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* The return for the first quarter of 2016 is implicitly missing, because it
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simply does not appear in the dataset.
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simply does not appear in the dataset.
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One way to think about the difference is with this Zen-like koan: An implicit missing value is the presence of an absence; an explicit missing value is the absence of a presence.
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One way to think about the difference is with this Zen-like koan: An explicit missing value is the presence of an absence; an implicit missing value is the absence of a presence.
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The way that a dataset is represented can make implicit values explicit. For example, we can make the implicit missing value explicit putting years in the columns:
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The way that a dataset is represented can make implicit values explicit. For example, we can make the implicit missing value explicit putting years in the columns:
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