Skip to main content
Announcements
NEW: Seamless Public Data Sharing with Qlik's New Anonymous Access Capability: TELL ME MORE!
cancel
Showing results for 
Search instead for 
Did you mean: 
SaebaRyo
Contributor
Contributor

Doubt of Aggregation Criterion to create a Measure

Hello everyone in the community,

 I am trying to create a measure (No. customers) in a company, but I need that the aggregate function is not sum, that is, if we want to analyze the clients that I have in the current year they should not be added since it is not correct . It would be the number of clients in the last month of the current year. The following table shows an example of what we want to do with the customer measure:

 

YearMonth

Count(No. customers)

 

201909

8

 

201910

10

 

201911

20

 

201912

45

 

202001

35

 

202002

43

 

202003

50

 

202004

55

 

202005

71

   

Total Costumer for 2019

 

42

Total Costumer for 2020

 

71

 

As we can see the totals are the last monthly value of years that is loaded. This measurement would be used in both pivot tables and charts. I have been using QlikSense for a few months and I have not been able to do this measurement. In other tools they have aggregation options of the type Time-State rollup that you can apply in the measures.

Thanks to everyone for your support.

A cordial greeting,

Labels (1)
3 Replies
QlikTom
Employee
Employee

Hello, it might be helpful to know the original shape of the data you want to transform into this result.  

If I read this correctly, you want to do an accumulation of new customers in the year they came onboard, aggregated to a monthly granularity, and reset the count at the start of the next year. The solution to this challenge has many solutions, but without knowing the fields available to to you, it is hard to suggest one. 

This challenge can be resolved with as little as 2 original source fields:
1) a unique ID for a customer
2) a date field representing when they came onboard. 
3) a Year field in the data model (potentially extracted from the OnBoardingDate) 
4) a YearMonth field in the data model (potentially constructed from the OnBoardingDate in the Data Load Script / Data Manager) 

Year(Date(OnBoardingDate)) & Num(Month(OnBoardingDate),'00') as OnBoardingYearMonth



If you have access to a recent version of Qlik Sense, you should notice a Modifier option on the measure in the table chart.
Select the appropriate options (example below)

qliktom_0-1589399650592.png


My result below. The # Customers measure is only included so the math can be verified.
This is only meant to serve as an example as your challenge may have different parameters. 

qliktom_1-1589399678696.png

Here is a help article on the topic:
https://help.qlik.com/en-US/sense/February2020/Subsystems/Hub/Content/Sense_Hub/Visualizations/Table...

SaebaRyo
Contributor
Contributor
Author

Hello @QlikTom 

Sorry I took so long to respond, but I was in poor health. Thank you very much for this answer, I especially liked it to create cumulative measurements as seen in the table image.

This solution is close to what I am looking for, but if you look at the image of the table, what I am looking for is that the Customer measure at the level of totals stays with the value of the last month of each year. I highlight it in the image:

SaebaRyo_0-1590138282552.png

 


If we see the new customer indicator when making totals by Year it should be

Year 2018 YearMonth 201812 #Customer(total) = 47

Year 2019 YearMonth 201812 #Customer(total) = 45

Year 2020 YearMonth 201812 #Customer(total) = 15


Likewise, everything you have explained has been very useful to me in order to make other indicators that I have in my Dashboard.

Thank you very much for the help!

QlikTom
Employee
Employee

If I understand correctly, it sounds like you don't want to SUM the customers across months, by year. Rather, display the sum for the '# customers' for the last available month in any given year. 

I will have to think on that, but I suspect this could be resolved with a Set Expression, or creating a seperate aggregation table in your data load script.