'Unable to determine what type of blank, null, na or anything else in R dataframe

I have a data frame loaded from an Excel csv. One columns has many "NULL". This is what is showing up when looking at the data in RStudio. When I filter in the RStudio viewer by typing in NULL it gets over 13,000 rows. I've been trying to do the same in code with no luck. I've tried.

newSurvey %>%
  filter(is.null(TextAnswerValue))

Zero values

newSurvey %>%
  filter(is.na(TextAnswerValue))

Two values

newSurvey %>%
 filter(TextAnswerValue == "")

Zero values

newSurvey %>%
  filter(length(TextAnswerValue) < 10)

Zero values

newSurvey %>%
  filter(TextAnswerValue) == NULL)

Zero values

Nothing works, not sure what else to try.



Solution 1:[1]

I found the answer

newSurvey %>%
  filter(TextAnswerValue == "NULL")

Sources

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Source: Stack Overflow

Solution Source
Solution 1 user3482393