Linear Correlation -- Keeps returning NaN for fields that have been operated on

Hello, I'm trying to do just a simple linear correlation study with my data set. I can run a Linear Correlation on the entire set and all the correlation coefficients generate just fine. When I operate on columns, though, the operated fields all return "NaN"
in the correlation matrix.
Eg. my columns look like A, B, C, X. The correlation matrix populates correctly when I just run the Linear Correlation on the un-filtered, un-operated dataset. When I do an Apply Math Operation (divide) to append two more columns, A/C and and B/C, it applies
the math operation just fine; I can see all the new percentages of C that each A & B feature represent. But the new columns A/C and B/C don't work in the correlation matrix. Everything shows up as NaN. I checked, and these features are all Numeric.
Any ideas? Thanks!

FIXED!
Just in case anybody else stumbles across this, the Custom Value to replace isn't "Infinity", it's "NaN".
Use Roope's solution but with different syntax:
You can use "Convert To Dataset" module to replace invalid values, by using following parameters (for example to reset infinity to 0):
Action: ReplaceValues
Replace: Custom
Custom Value: NaN
New Value: 0

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