topic Re: Median QlikSense in App Development

Median QlikSense

arvindjha2050 — Wed, 22 Dec 2021 15:54:26 GMT

Hello all,

Below is sample code :

Test :
Load * Inline
[
Year,Region,Values
2018,India,10
2018,SriLanka,20
2018,Australia,32
2019,India,12
2019,SriLanka,15
];

I create a line chart :

Dimension :Year

Measure : Median(Values)

Output is : Year 2018 - 20 ;Year 2019 - 13.5

But i want output like this :

Output is : Year 2018 - 20 ;Year 2019 - 12

The logic should be even though for 2019 we don't have value for Australia we want to consider that in median calculation with zero assigned to it , so after sorting it should be Median of values : 0,12,15 which should be equal to 12.

Re: Median QlikSense

tresB — Tue, 17 Mar 2020 13:00:50 GMT

You have to populate your sparsely populated data correctly for that to work.

A sample code to wards that would be like:

t1: Load * Inline [ Year,Region,Values 2018,India,10 2018,SriLanka,20 2018,Australia,32 2019,India,12 2019,SriLanka,15 ]; t2: Load Distinct Region Resident t1; Join (t2) Load Distinct Year Resident t1; Left Join (t2) load * Resident t1; Drop Table t1; NULLASVALUE Values; Set NullValue='0'; NoConcatenate t3: Load * Resident t2; Drop Table t2;

Re: Median QlikSense

arvindjha2050 — Tue, 17 Mar 2020 14:34:33 GMT

Thanks a lot.

Can we do the same based on count of distinct values of Country?

For example

t1:
Load * Inline
[
Year,Region,Values
2018,India,10
2018,SriLanka,20
2018,Australia,32
2019,India,10
2019,SriLanka,15
2019,SriLanka,20
];

Here for 2019 , count for India is 1 , SriLanka is 2 and Australia is zero, hence median of 0, 1 and 2 which will be 1.

Re: Median QlikSense

tresB — Wed, 18 Mar 2020 07:04:05 GMT

Try:

Median(Aggr(Count(Region), Year, Region))

Re: Median QlikSense

arvindjha2050 — Wed, 18 Mar 2020 12:12:57 GMT

Hello ,

Thanks a lot.

I have another scenario :

t1:
Load * Inline
[
Year,Region,Impact
2018,India,Low
2018,SriLanka,Low
2018,Australia,Significant
2018,Japan,Low
2019,India,Low
2019,SriLanka,Low
2019,SriLanka,Significant
2019,India,Medium
2019,Australia,Low
2019,India,Significant
2019,UK,Significant
2019,UK,Low
];

Here we need to consider the same year and also Impact equal to Significant

For example in 2018 it will be,
India = 0
Sri Lanka = 0
Australia - 1
Japan - 0

Median will be zero

In 2019,
India - 1 (Impact is equal to Significant in one case)
SriLanka - 1 (Impact is equal to Significant in one case)
Australia - 0 (Impact is equal to Significant in zero case)
UK - 1 (Impact is equal to Significant in one case)

Median for 0,1,1,1 which is 1