Help with Dividing two categories in a single data column

[Anonymous]

Please see screenshot.  This is a matrix table.  I wish to divide 'engaged' by 'reached'.  However these are categories and all share the same 'value' column.  So how do I do this?  i.e. the logic needs to be division where value=engaged / where value = reached.  Please help! Thanks  

[MFelix · Accepted solution]

Hi @Anonymous ,

You need to create a measure with the following syntax:

% Engaged/reached CALCULATE(SUM(Table1[Value]);Table1[Type] = "Engaged")/ CALCULATE(SUM(Table1[Value]);Table1[Type] = "Reached")

Regards,

MFelix

[Anonymous · Accepted solution]

Thanks, this got me on the right track.  I had to insert apostropes though around table names and also replace your semi colons with commas.  So the correct result was:

ER% = CALCULATE(SUM('Data 2019'[Value]),'Data 2019'[KPI] = "Engaged")/ CALCULATE(SUM('Data 2019'[Value]),'Data 2019'[KPI] = "Reached") 

[MFelix · Accepted solution]

Hi @Anonymous ,

You need to create a measure with the following syntax:

% Engaged/reached CALCULATE(SUM(Table1[Value]);Table1[Type] = "Engaged")/ CALCULATE(SUM(Table1[Value]);Table1[Type] = "Reached")

Regards,

MFelix

[Anonymous · Accepted solution]

Thanks, this got me on the right track.  I had to insert apostropes though around table names and also replace your semi colons with commas.  So the correct result was:

ER% = CALCULATE(SUM('Data 2019'[Value]),'Data 2019'[KPI] = "Engaged")/ CALCULATE(SUM('Data 2019'[Value]),'Data 2019'[KPI] = "Reached") 

[MFelix]

Hi @Anonymous ,

That question about the commas and the names of the tables as to do with the regional settings on the computer it's a normla thing.

Glad I could help.

Regards,

MFelix

[Anonymous]

Also now I have imlemented this, it creates another issue - the measure appears behind every column but I only want it to appear once - how could I adjust this? 

[MFelix · Accepted solution]

Hi @Anonymous ,

You must reduce the size of the columns you want to hide, be carefull to turn off word wrap on columns title and values.

This is a workaround but is the way to achieve your goal.

Regards,

MFelix

[Anonymous]

Ok understand, sorry about that.  Have remarked as yours.  At least we have both regional solutions now 😉