missing values are not behaving properly about dpchecker HOT 1 OPEN

From the people who ran into this problem... maybe the issue is more about R not liking mixed data types than the DPchecker test:

"requested we use NULL for all missing values throughout the dataset, so that is what I did originally. I don't remember exactly what the wording of the warning was that came up from DPchecker, but it had the word "parse" or "parsing" in it. When I went on the github page that lists the functions in DPchecker and searched "parse" the function I landed on was Test data and metadata data formats match — test_dates_parse • DPchecker (nationalparkservice.github.io)". I think when I originally read the function name it I misread "dates" as "data" but when I called problems() for this function it returned to me 4 rows of NULLs in a numeric column that housed cubic feet per second values. This sparked a big conversation surrounding how to represent missing values in different data type columns. (NULL is a character type in R and creates the problem of having multiple data types in 1 column for numeric and datetime columns) We ended up deciding on NULL for missing values in character and categorical columns and NA for missing values in numeric and datetime columns, since NA is neither a character or numeric type in R. Once I changed the NULLs in numeric and datetime columns to NAs it ran through DPchecker just fine."

from dpchecker.