Let’s talk Alteryx Copilot. Join the live AMA event to connect with the Alteryx team, ask questions, and hear how others are exploring what Copilot can do. Have Copilot questions? Ask here!
We’re experiencing technical issues with our vendor that are affecting license activations for Designer Desktop. We don’t yet have an estimated resolution time. We apologize for the inconvenience and will share updates as we have them.
Start Free Trial

Alteryx Designer Desktop Discussions

Find answers, ask questions, and share expertise about Alteryx Designer Desktop and Intelligence Suite.

Cleaning up and converting multiple numerical fields

ScottB1
6 - Meteoroid

I have a source data with ~130 fields. About half of them are numeric and filled with text and special characters. What are the disadvantages of converting the [dirty] fields first then using dynamic select to remove all non-numerical characters (like the attached)? I went that route as I didn't want to select every field in the data cleansing tool. 

 

2 REPLIES 2
flying008
15 - Aurora

Hi, @ScottB1 

 

Maybe you can upload some example data for input and output.  so what your want? like dynamic select fields?

ScottB1
6 - Meteoroid

@flying008

 

It's basically just columns that are 95% numeric (or null) but some rows contain "NA" or "Not Found". The approach I took works fine it just generates a lot of field conversion warnings.

Labels
Top Solution Authors