# Qlik Sense App Development

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Contributor III

## Median QlikSense

Hello all,

Below is sample code :

Test :
[
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.

Labels (3)

• ### QLIKsense charts

1 Solution

Accepted Solutions
Highlighted
MVP

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

A sample code to wards that would be like:

``````t1:
[
Year,Region,Values
2018,India,10
2018,SriLanka,20
2018,Australia,32
2019,India,12
2019,SriLanka,15
];

t2:
Join (t2)

Left Join (t2)

Drop Table t1;

NULLASVALUE Values;
Set NullValue='0';
NoConcatenate
t3:
Drop	Table t2;``````

4 Replies
Highlighted
MVP

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

A sample code to wards that would be like:

``````t1:
[
Year,Region,Values
2018,India,10
2018,SriLanka,20
2018,Australia,32
2019,India,12
2019,SriLanka,15
];

t2:
Join (t2)

Left Join (t2)

Drop Table t1;

NULLASVALUE Values;
Set NullValue='0';
NoConcatenate
t3:
Drop	Table t2;``````

Highlighted
Contributor III

Thanks a lot.

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

For example

t1:
[
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.

Highlighted
MVP

Try:

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

Highlighted
Contributor III

Hello ,

Thanks a lot.

I have another scenario :

t1:
[
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