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Have priorly used the ggplot_na_gapsize() for easily look where in the time series missing NaN values occure.
A suggestion for improvement is to allow user to specify which value NaN could be, so it is not only NaN it can find.
As example, If a dataset store the NaN as -200, you could specify that and not need to convert to NaN to use ggplot_na_gapsize.
Might be a bit out of scope for the method, but think it could be a neat addition.
The text was updated successfully, but these errors were encountered:
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Have priorly used the ggplot_na_gapsize() for easily look where in the time series missing NaN values occure.
A suggestion for improvement is to allow user to specify which value NaN could be, so it is not only NaN it can find.
As example,
If a dataset store the NaN as -200, you could specify that and not need to convert to NaN to use ggplot_na_gapsize.
Might be a bit out of scope for the method, but think it could be a neat addition.
The text was updated successfully, but these errors were encountered: