Hi,
I am a new julia user. I have a dataset
(http://www-bcf.usc.edu/~gareth/ISL/Auto.csv) where one column contains
NAs. The data can be read using:
Auto = readtable("data/Auto.csv", nastrings = ["?"])
I would like to remove the rows that contain NAs. I found the dropna
function. However, this seems to work only for DataArrays not for
DataFrames. I also found:
http://stackoverflow.com/questions/27844621/how-can-i-delete-all-rows-of-a-dataframe-that-have-an-na-in-a-specific-column
However, this only works when one specifies the column that contains NAs.
Is there a function that removes every DataFrame row that includes one or
more NAs?
Kind regards,
Eugen
