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Enhanced Imputation tool


A funcionality added to the Impute values tool for multiple imputation and maximum likelihood imputation of fields with missing at random will be very useful.



Missing data form a problem and advanced techniques are complicated. One great idea in statistics is multiple imputation,

filling the gaps in the data not with average, median, mode or user defined static values but instead with plausible values considering other fields.


SAS has PROC MI tool, here is a page detailing the usage with examples:

Also there is PROC CALIS for maximum likelihood here...


Same useful tool exists in spss as well



8 - Asteroid

Agreed that the current imputation tool does not do justice to the other predictive tools available in Alteryx.


In R, multiple packages exist. Among them: Amelia, MI, MICE. Thanks!

Status changed to: Inactive

The status of this idea has been changed to 'Inactive'. This status indicates that:


1. The idea has not had activity in the form of likes or comments in over a year.

2. The idea has not reached ten likes.

3. The idea is still in the 'New Idea' status. 


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Alteryx Alumni (Retired)

Hi @Atabarezz @MarshallG 


We have built some new missing value imputation macros here:


The MICE macro would be a great fit for multiple imputation secenario. Let us know what you think in the blog!