We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi,
Being pretty new to qdap, I am not sure whether this functionality is present, but it would be great to have something as mentioned below.
My initial dataset.
ID Keywords 1 112 mills, open heart surgery, great, great job 2 Ausie, open, heart out 3 opened, heartily, 56mg)_job, orders12 4 order, macD
On using all_words I end up with the following data.
WORD FREQ 1 great 2 2 heart 2 3 open 2 4 ausie 1 5 heartily 1 6 job 1 7 macd 1 8 mgjob 1 9 mills 1 10 opened 1 11 order 1 12 orders 1 13 out 1 14 surgery 1
Is there a way in which the main dataset can be replaced by the exact words that are appearing through all_words?
i.e 112 mills should end up as mills in row 1 56mg)_job should end up as mgjob in row 3
The text was updated successfully, but these errors were encountered:
What would you want something like "open heart surgery" to be changed to? Or would you want to keep it that way?
Sorry, something went wrong.
It would be kept the same
No branches or pull requests
Hi,
Being pretty new to qdap, I am not sure whether this functionality is present, but it would be great to have something as mentioned below.
My initial dataset.
On using all_words I end up with the following data.
Is there a way in which the main dataset can be replaced by the exact words that are appearing through all_words?
i.e 112 mills should end up as mills in row 1
56mg)_job should end up as mgjob in row 3
The text was updated successfully, but these errors were encountered: