I have a dataframe df containing 2 columns (State and Date). The State Columns has names of various states and the Date Column has NULL Values. I want to remove the rows containing these NULL values
I tried using multiple options like drop_na(), filter() and subset() using !is.null() but nothing seems to work. Can someone point out where am I going wrong.
mArkets <- market_data[c(1,4)]
mArkets <- mArkets %>% filter(!is.null(Date))
Thank you for your help.
CodePudding user response：
They're not NULL at all, looks like they're '' (an empty string).
mArkets <- mArkets %>% filter(!is.null(Date) | Date!='')
would work.
CodePudding user response：
I feel that they might be empty strings:
mArkets <- mArkets[!is.null(mArkets$Date) && mArkets$Date != '']