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Nov 30, 2015 9:50 AM
(4096 views)

Hello,

I have three columns: Population, Year and Type. I need to write the Z score value of the population in a new column. This standardization applies for each subset (Year + Type). Until now, I've used the distribution platform with «BY Year» and «BY Type» and saved the normalized data (red triangle menu, Save standardized value).

Since I have to update my table often, these values have to be **refreshed dynamically (formula column)**. The problem here is that the Standardize function applies to all rows. Is there any function or special arguments that would standardize «on the fly» my population by subset?

Thanks,

Claude B.

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Dec 1, 2015 5:03 AM
(6770 views)
| Posted in reply to message from claude_bellavan 11/30/2015 12:50 PM

Claude,

I believe the answer to your question is to just create a new column and to use the following formula for the new column:

(:Population-Col Mean(:Population,:Year,:Type)) / Col Std Dev(:Population,:Year,:Type)

JIm

Jim

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Dec 1, 2015 5:03 AM
(6771 views)
| Posted in reply to message from claude_bellavan 11/30/2015 12:50 PM

Claude,

I believe the answer to your question is to just create a new column and to use the following formula for the new column:

(:Population-Col Mean(:Population,:Year,:Type)) / Col Std Dev(:Population,:Year,:Type)

JIm

Jim

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thank you very much Jim!

CB

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Great and helpful response. It cut through the data and gave me what I needed, like a knife through hot butter!