Skip to main content
Announcements
Join us at Qlik Connect for 3 magical days of learning, networking,and inspiration! REGISTER TODAY and save!
cancel
Showing results for 
Search instead for 
Did you mean: 
astralview
Partner - Contributor
Partner - Contributor

Line/Bar chart with independent lines/bars

Hi, 

I have built a data model of reports; simplyfying:

Every year, multiple-choice tests are given to resources.
Every resource completes one test for each "macro-role" he has assigned and each test consists in a certain number of questions.
Further, for each resource, it is calculated the percentage of wrong answers, mapped into a number (from 1 to 6).
Eventually, in a dimension, I map for each one of those codes an extended name (e.g. 1<->"molto grave", which means severe skill GAP).

I'd like to represent in a line and a bar chart how those GAP levels are cumulately distributed through the years:
each line/bar is a year; each bin value/bar portion is the percentage of resources that had the corresponding GAP for that year.
The current formula is: "=count(COD_GAP_DIPENDENTI) /count(TOTAL[COD_GAP_DIPENDENTI])", where "COD_GAP_DIPENDENTI" is that number between 1 and 6.

The issue is: if I filter only one year, everything is correct: the length of the bar and the sum of the bin's height is 100.
But if I choose more than one year (for instance: 2022 and 2023), it won't show me a comparative vision, because I obtain 100 only if I sum the two bars length and the bins of both lines!
I currently don't know a way to tell Qlik to consider, for each line/bar, only the data associated with that year.

In the attachments: the 'wrong.png' way it works with more than one year selected that I'd wish to turn into the 'right.png' that currently holds only for a single year!

Thank you all 🙂

 

Labels (1)
2 Replies
vincent_ardiet_
Specialist
Specialist

Try with:

=count(COD_GAP_DIPENDENTI) /count(TOTAL  <ANNO_LINK_REPORT>  [COD_GAP_DIPENDENTI])

astralview
Partner - Contributor
Partner - Contributor
Author

Looks like it's working!

I am waiting the moment I will be able to load more years, I have noticed that a couple of clusters have very similar percentages, but this might be normal 🙂  

I don't see any theorical issue in having things like resources belonging to multiple years and 'macro-topics' in the presence of  a correct data model... I will let you know! 

Thank you already 🙂