gsub Function in R - Converting Revenue Data to Numeric

[@vanakornsirijongprasert1726]

Thank you, this tutorial is clear and so easy to follow. Big thumb up!

[@danieldbonneau]

Thanks for the feedback, glad I could help!

[@CoachPegasus]

if we need to convert in date column from from 6-1-2022 to 6/1/2022... How can we do it? with gsub it shows as NAN..

[@danieldbonneau]

I'm not sure why gsub() isn't working for that. Make sure you don't have any conversion to numeric occurring after the code. It would be weird for a character substitution to produce an NA in this scenario. A roundabout alternative to restructure this would just be to paste together the individual components. After making sure it's a date column and not a character column, you can do something like: library(lubridate) # Use this to read in month, day, year functions new_date

[@CoachPegasus]

2012-06-04 WM$Date = sub("\\-", "/", WM$Date) They turn into NAN NA NA NA "2012/06-04" NA NA thanks

[@danieldbonneau]

You'll want to make sure you're using gsub(), and not sub(). sub() will only replace the first occurrence, while gsub() will replace it "globally". That change will make sure the "2012/06-04" is properly written as "2012/06/04". As for the NA's, it's hard to say without seeing your data further, there may be something else that's causing that to occur. *Edit: Make sure there's no conversion to numeric after you do the substituion. It would be strange for a character substitution to produce an NA in this case, so it may be something else if you're running additional code. Depending on what you need the dates for and why you're trying to make this change, you may want to look into the lubridate package and one of it's functions. Happy to help further if you want to share more about your specific use case so I can help you get this all squared away.