
1. Re: Predicting yes/no result from multiple binary dimensions (plus some measures)
Steve Martin Jun 17, 2018 12:04 AM (in response to Alex Kerin)1 of 1 people found this helpfulHi Alex,
I'm uncertain of its validity here but you could implement a Tableauonly (so no R or Python for any of these solutions) Student's TTest to calculate the ZScore or Bayesian methodology to test the probability of a positive or negative outcome of a hypothesis, both of which I have implemented (with a little help from my datascience team).
I shall speak to the datascience team on Monday for their ideas for this; the only caveat (which I know you are more than capable of) is that this is more "old(er)school" Tableau  Lookups and Windowing
I should add here, despite having a huge Tableau deployment, and having multiple R and Python servers, the Tableau admin team have been slow to spinup either of these for Tableau functions resulting in my needing to rebuild these simple calculations entirely in Tableau (and at the time of development, in v8.1)
Steve

2. Re: Predicting yes/no result from multiple binary dimensions (plus some measures)
Alex Kerin Jun 18, 2018 7:45 AM (in response to Steve Martin)Thanks Steve  interested in what the data team have to say. Having done some research, I'm trying logistical regression via the XLSTAT plugin for Excel, and looking at ChiSquared and p values  seems to be getting somewhere.

3. Re: Predicting yes/no result from multiple binary dimensions (plus some measures)
Steve Martin Jun 18, 2018 8:30 AM (in response to Alex Kerin)I actually didn't think of this, I too am using chisquare with pvalues for measuring a different part of the same tools although they need to go through the same zscore plug to apply the final % probability.
Having discussed with some of the data scientists, they too have suggested logistical regression so looks like you are on the right lines there
Steve