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Alex_G7
Helper I
Helper I

if "Value" column  could be number in thousands or percentage is easy to slit table in 2 ?

Hi, 

I have dataset simlar to open data 

https://open.canada.ca/data/en/dataset/60459b47-af76-4b05-a0a5-38f706d5942a

 

where "Value" column  could be number in thousands or percenrage (based on value in other column)

 

dataset_percentage_and_persons.JPG

 Question 

 

To work with measure  it easier to  split table in 2 tables (percenatge and person) and define relationship or constantly filter out in measures percenatge or persons ?

 

Thank you

 

1 ACCEPTED SOLUTION
v-xuding-msft
Community Support
Community Support

Hi @Alex_G7 ,

I think it is easier to implement it in Query Editor. You could duplicate the table and filter out "Person" and "Percentage " separately. 

6.PNG

Best Regards,

Xue Ding

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Best Regards,
Xue Ding
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

3 REPLIES 3
Alex_G7
Helper I
Helper I

Thank a lot everyone . I used query editot to duplicate and filter table  since values present  Rate for each category (I had ucheck "sum  values" when I created visualisation), final result  belllow

 

EMP1.JPG

v-xuding-msft
Community Support
Community Support

Hi @Alex_G7 ,

I think it is easier to implement it in Query Editor. You could duplicate the table and filter out "Person" and "Percentage " separately. 

6.PNG

Best Regards,

Xue Ding

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Best Regards,
Xue Ding
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

You can write two measures for calculating the values for person and percentage separately. The measure will be:
1. calculate(sum('TableName'[VALUES]), 'TableName'[UOM] = "Persons")

2. calculate(sum('TableName'[VALUES]), 'TableName'[UOM] = "Percentage")

 

Regards,

Kamal

Addend Analytics

https://addendanalytics.com/

91.9920116645

 

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