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Hello,
I am developping a Qlik Sense App and I need to to do a Nth degree polynomial trendline.
During my research, I have found that QlikView have a Trendline section that does not seems to exist in Qlik Sense. There is also this topic about making formula to calculate trend line in Qlik Sense that was created in 2017 :
I am wondering by the time of this topic if a solution have been found.
Does anyone know if there is actually an easy way to calculate a trend line like QlikView, or if Qlik intend to add this functionnality in the near future, please ?
Also, if someone know the formula to calculate Nth degree polynomial trendline that would be much apreciated, thanks.
Best Regards.
See attached qvf for "Polynomial Trendline 2nd degree"
hope this helps
We were facing the same problem within our Company a few Months ago.
I was able to calculate a moving Average Trendline within the Script Editor, but to properly create polynomial functions within Qlik you should use a Python API and do the necessary Regressions there
Best Regards
Julian
Hi Clement,
Qlik doesn't offer this and probably won't offer this because it's a statistics part.. less a BI part. You can use the Vizlib Line Chart, it contains a polynomial function for a trendline. But you can't edit this formula.
Jordy
Climber
Hi Jordy,
Thank you for the quick reply.
QlikView is also a BI tools and has the functionnality to create trend line, I think it is still possible that Qlik implements a section for trend lines in Qlik Sense.
In any case, thanks for proposing the extension Vizlib but I would not be able to use it because my companie does not use extension in their apps. I will try to figure out a formula using the python back-end.
Clément
See attached qvf for "Polynomial Trendline 2nd degree"
hope this helps
We were facing the same problem within our Company a few Months ago.
I was able to calculate a moving Average Trendline within the Script Editor, but to properly create polynomial functions within Qlik you should use a Python API and do the necessary Regressions there
Best Regards
Julian