Reputation: 1
I want to write a query to take count from a Datatable called "singapore" for a particular condition
NAME COUNTRY GENDER OWNHOUSE NO of houses
X1 SINGAPORE M Y 1
X2 SINGAPORE F N 0
X3 SINGAPORE M N 0
Now when I try to take counts from this Dataframe for Gender="F" and ownhouse="Y" it does not take correct count as at some places Gender is written as gender="M ".
I want to trim only the column GENDER
.
Currently I am using below command but it trims all the columns
Singapore<- data.frame(lapply(Singapore, trimws), stringsAsFactors = FALSE)
Upvotes: 1
Views: 173
Reputation: 33548
To trim only the column GENDER
but keep the data.frame otherwise intact:
Singapore$GENDER <- trimws(Singapore$GENDER)
Upvotes: 1
Reputation: 9267
To trim only a single column just use the function trimws
on that column only
Singapore$GENDER <- trimws(Singapore$GENDER)
Upvotes: 0